diff --git a/Data_base.csv b/Data_base.csv
deleted file mode 100644
index 1e5e34cba3914d3c246f78550c74005a99905bd1..0000000000000000000000000000000000000000
--- a/Data_base.csv
+++ /dev/null
@@ -1,697 +0,0 @@
-alloy,Fe,Ni,Co,Cr,V,Cu,VEC,AR1,AR2,PE,Density,TC,MP,FI,SI,TI,M,TEC,total ,range(oC),features,Fe.1,Ni.1,Co.1,Cr.1,V.1,Cu.1,Unnamed: 28,Unnamed: 29,Unnamed: 30,Unnamed: 31,Unnamed: 32,Unnamed: 33,Unnamed: 34,Unnamed: 35,Unnamed: 36,Unnamed: 37,Unnamed: 38,Unnamed: 39,Unnamed: 40,Unnamed: 41,Unnamed: 42
-Fe-Ni,1,0,0,0,0,0,8,140,124,1.83,7874,80,1181,762.47,1562.98,2957.4,2.22,11.92,1,30-100,VEC,8,10,9,6,5,11,,,,,,,,,,,,,,,
-,0.95,0.05,0,0,0,0,8.1,139.75,124.05,1.834,7925.7,80.55,1208.35,761.2035,1572.4825,2979.28,2.139,11.17,1,30-100,Atomic radius(empirical)(pm),140,135,135,140,135,135,,,,,,,,,,,,,,,
-,0.9,0.1,0,0,0,0,8.2,139.5,124.1,1.838,7977.4,81.1,1235.7,759.937,1581.985,3001.16,2.058,10.82,1,30-100,Atomic radius(Inoun)(pm),124,125,125,125,132,128,,,,,,,,,,,,,,,
-,0.85,0.15,0,0,0,0,8.3,139.25,124.15,1.842,8029.1,81.65,1263.05,758.6705,1591.4875,3023.04,1.977,9.91,1,30-100,Pauling electronegativity,1.83,1.91,1.88,1.66,1.63,1.9,,,,,,,,,,,,,,,
-,0.8,0.2,0,0,0,0,8.4,139,124.2,1.846,8080.8,82.2,1290.4,757.404,1600.99,3044.92,1.896,11.09,1,30-100,density(kg m-3),7874,8908,8900,7140,6110,8920,,,,,,,,,,,,,,,
-,0.75,0.25,0,0,0,0,8.5,138.75,124.25,1.85,8132.5,82.75,1317.75,756.1375,1610.4925,3066.8,1.815,13.6,1,30-100,Thermal conductivity(W m-1 K-1),80,91,100,94,30.7,400,,,,,,,,,,,,,,,
-,0.7,0.3,0,0,0,0,8.6,138.5,124.3,1.854,8184.2,83.3,1345.1,754.871,1619.995,3088.68,1.734,12.1,1,30-100,Melting point(K),1181,1728,1768,2180,2183,1357.77,,,,,,,,,,,,,,,
-,0.67,0.33,0,0,0,0,8.66,138.35,124.33,1.8564,8215.22,83.63,1361.51,754.1111,1625.6965,3101.808,1.6854,3.5,1,30-100,First ionisation energy(kJ mol-1),762.47,737.14,760.4,652.87,650.91,745.78,,,,,,,,,,,,,,,
-,0.64,0.36,0,0,0,0,8.72,138.2,124.36,1.8588,8246.24,83.96,1377.92,753.3512,1631.398,3114.936,1.6368,1.34,1,30-100,second ionisation energy(kJ mol-1),1562.98,1753.03,1648.39,1590.69,1412,1957.92,,,,,,,,,,,,,,,
-,0.635,0.365,0,0,0,0,8.73,138.175,124.365,1.8592,8251.41,84.015,1380.655,753.2246,1632.3483,3117.124,1.6287,1.3,1,30-100,third ionisation energy(kJ mol-1),2957.4,3395,3232.3,2987.1,2828.09,3554.6,,,,,,,,,,,,,,,
-,0.63,0.37,0,0,0,0,8.74,138.15,124.37,1.8596,8256.58,84.07,1383.39,753.0979,1633.2985,3119.312,1.6206,1.5,1,30-100,net magnetic moments/atom,2.22,0.6,1.72,-0.6,0,0,,,,,,,,,,,,,,,
-,0.6,0.4,0,0,0,0,8.8,138,124.4,1.862,8287.6,84.4,1399.8,752.338,1639,3132.44,1.572,4.07,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.55,0.45,0,0,0,0,8.9,137.75,124.45,1.866,8339.3,84.95,1427.15,751.0715,1648.5025,3154.32,1.491,7.11,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.5,0.5,0,0,0,0,9,137.5,124.5,1.87,8391,85.5,1454.5,749.805,1658.005,3176.2,1.41,9.68,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.4,0.6,0,0,0,0,9.2,137,124.6,1.878,8494.4,86.6,1509.2,747.272,1677.01,3219.96,1.248,11.28,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.3,0.7,0,0,0,0,9.4,136.5,124.7,1.886,8597.8,87.7,1563.9,744.739,1696.015,3263.72,1.086,12.24,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.2,0.8,0,0,0,0,9.6,136,124.8,1.894,8701.2,88.8,1618.6,742.206,1715.02,3307.48,0.924,12.27,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.1,0.9,0,0,0,0,9.8,135.5,124.9,1.902,8804.6,89.9,1673.3,739.673,1734.025,3351.24,0.762,12.89,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0,1,0,0,0,0,10,135,125,1.91,8908,91,1728,737.14,1753.03,3395,0.6,12.76,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-Fe-Co,0.91,0,0.09,0,0,0,8.09,139.55,124.09,1.8345,7966.34,81.8,1233.83,762.2837,1570.6669,2982.141,2.175,11.16,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.802,0,0.198,0,0,0,8.198,139.01,124.198,1.8399,8077.148,83.96,1297.226,762.0601,1579.8912,3011.8302,2.121,10.09,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.703,0,0.297,0,0,0,8.297,138.515,124.297,1.8449,8178.722,85.94,1355.339,761.8552,1588.3468,3039.0453,2.0715,9.71,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.654,0,0.346,0,0,0,8.346,138.27,124.346,1.8473,8228.996,86.92,1384.102,761.7538,1592.5319,3052.5154,2.047,9.75,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.604,0,0.396,0,0,0,8.396,138.02,124.396,1.8498,8280.296,87.92,1413.452,761.6503,1596.8024,3066.2604,2.022,9.58,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.506,0,0.494,0,0,0,8.494,137.53,124.494,1.8547,8380.844,89.88,1470.978,761.4474,1605.1725,3093.2006,1.973,9.33,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.407,0,0.593,0,0,0,8.593,137.035,124.593,1.8597,8482.418,91.86,1529.091,761.2425,1613.6281,3120.4157,1.9235,9.55,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.308,0,0.692,0,0,0,8.692,136.54,124.692,1.8646,8583.992,93.84,1587.204,761.0376,1622.0837,3147.6308,1.874,9.98,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.258,0,0.742,0,0,0,8.742,136.29,124.742,1.8671,8635.292,94.84,1616.554,760.9341,1626.3542,3161.3758,1.849,10.53,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.219,0,0.781,0,0,0,8.781,136.095,124.781,1.8691,8675.306,95.62,1639.447,760.8533,1629.6852,3172.0969,1.8295,11.45,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.209,0,0.791,0,0,0,8.791,136.045,124.791,1.8696,8685.566,95.82,1645.317,760.8326,1630.5393,3174.8459,1.8245,11.67,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.189,0,0.811,0,0,0,8.811,135.945,124.811,1.8706,8706.086,96.22,1657.057,760.7912,1632.2475,3180.3439,1.8145,11.8,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.159,0,0.841,0,0,0,8.841,135.795,124.841,1.8721,8736.866,96.82,1674.667,760.7291,1634.8098,3188.5909,1.7995,11.73,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.1,0,0.9,0,0,0,8.9,135.5,124.9,1.875,8797.4,98,1709.3,760.607,1639.849,3204.81,1.77,11.67,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.061,0,0.939,0,0,0,8.939,135.305,124.939,1.877,8837.414,98.78,1732.193,760.5263,1643.18,3215.5311,1.7505,11.8,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.041,0,0.959,0,0,0,8.959,135.205,124.959,1.878,8857.934,99.18,1743.933,760.4849,1644.8882,3221.0291,1.7405,12.52,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0,0,1,0,0,0,9,135,125,1.88,8900,100,1768,760.4,1648.39,3232.3,1.72,12.13,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-Ni-Co,0,0.9,0.1,0,0,0,9.9,135,125,1.907,8907.2,91.9,1732,739.466,1742.566,3378.73,0.712,13.06,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0,0.8,0.2,0,0,0,9.8,135,125,1.904,8906.4,92.8,1736,741.792,1732.102,3362.46,0.824,12.81,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0,0.7,0.3,0,0,0,9.7,135,125,1.901,8905.6,93.7,1740,744.118,1721.638,3346.19,0.936,12.75,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0,0.6,0.4,0,0,0,9.6,135,125,1.898,8904.8,94.6,1744,746.444,1711.174,3329.92,1.048,12.56,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0,0.5,0.5,0,0,0,9.5,135,125,1.895,8904,95.5,1748,748.77,1700.71,3313.65,1.16,12.65,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0,0.4,0.6,0,0,0,9.4,135,125,1.892,8903.2,96.4,1752,751.096,1690.246,3297.38,1.272,12.39,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0,0.35,0.65,0,0,0,9.35,135,125,1.8905,8902.8,96.85,1754,752.259,1685.014,3289.245,1.328,12.41,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0,0.3,0.7,0,0,0,9.3,135,125,1.889,8902.4,97.3,1756,753.422,1679.782,3281.11,1.384,12.08,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0,0.25,0.75,0,0,0,9.25,135,125,1.8875,8902,97.75,1758,754.585,1674.55,3272.975,1.44,12.59,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0,0.2,0.8,0,0,0,9.2,135,125,1.886,8901.6,98.2,1760,755.748,1669.318,3264.84,1.496,12.77,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0,0.15,0.85,0,0,0,9.15,135,125,1.8845,8901.2,98.65,1762,756.911,1664.086,3256.705,1.552,12.48,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0,0.1,0.9,0,0,0,9.1,135,125,1.883,8900.8,99.1,1764,758.074,1658.854,3248.57,1.608,12.61,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0,0.05,0.95,0,0,0,9.05,135,125,1.8815,8900.4,99.55,1766,759.237,1653.622,3240.435,1.664,12.32,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-FeNiCo,0.801,0.1,0.099,0,0,0,8.299,139.005,124.199,1.843,8078.974,83.08,1293.813,759.7321,1590.4406,3028.3751,2.0085,9.53,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.701,0.2,0.099,0,0,0,8.499,138.505,124.299,1.851,8182.374,84.18,1348.513,757.1991,1609.4456,3072.1351,1.8465,10.85,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.65,0.25,0.1,0,0,0,8.6,138.25,124.35,1.855,8235.1,84.75,1376.45,755.9305,1619.0335,3094.29,1.765,13.88,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.62,0.28,0.1,0,0,0,8.66,138.1,124.38,1.8574,8266.12,85.08,1392.86,755.1706,1624.735,3107.418,1.7164,4.38,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.601,0.3,0.099,0,0,0,8.699,138.005,124.399,1.859,8285.774,85.28,1403.213,754.6661,1628.4506,3115.8951,1.6845,7.59,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.58,0.32,0.1,0,0,0,8.74,137.9,124.42,1.8606,8307.48,85.52,1414.74,754.1574,1632.337,3124.922,1.6516,8.59,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.55,0.35,0.1,0,0,0,8.8,137.75,124.45,1.863,8338.5,85.85,1431.15,753.3975,1638.0385,3138.05,1.603,8.55,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.501,0.4,0.099,0,0,0,8.899,137.505,124.499,1.867,8389.174,86.38,1457.913,752.1331,1647.4556,3159.6551,1.5225,10.8,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.4,0.5,0.1,0,0,0,9.1,137,124.6,1.875,8493.6,87.5,1513.2,749.598,1666.546,3203.69,1.36,12.61,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.3,0.6,0.1,0,0,0,9.3,136.5,124.7,1.883,8597,88.6,1567.9,747.065,1685.551,3247.45,1.198,7.72,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.2,0.7,0.1,0,0,0,9.5,136,124.8,1.891,8700.4,89.7,1622.6,744.532,1704.556,3291.21,1.036,6.89,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.1,0.8,0.1,0,0,0,9.7,135.5,124.9,1.899,8803.8,90.8,1677.3,741.999,1723.561,3334.97,0.874,7.48,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.701,0.1,0.199,0,0,0,8.399,138.505,124.299,1.848,8181.574,85.08,1352.513,759.5251,1598.9816,3055.8651,1.9585,8.5,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.602,0.2,0.198,0,0,0,8.598,138.01,124.398,1.8559,8283.948,86.16,1406.626,756.9941,1617.9012,3099.3502,1.797,9.88,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.551,0.25,0.199,0,0,0,8.699,137.755,124.449,1.86,8336.674,86.73,1434.563,755.7256,1627.4891,3121.5051,1.7155,10.98,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.522,0.28,0.198,0,0,0,8.758,137.61,124.478,1.8623,8366.668,87.04,1450.386,754.9677,1633.1052,3134.3582,1.6674,19.79,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.501,0.3,0.199,0,0,0,8.799,137.505,124.499,1.864,8388.374,87.28,1461.913,754.4591,1636.9916,3143.3851,1.6345,19.27,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.451,0.35,0.199,0,0,0,8.899,137.255,124.549,1.868,8440.074,87.83,1489.263,753.1926,1646.4941,3165.2651,1.5535,14.3,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.401,0.4,0.199,0,0,0,8.999,137.005,124.599,1.872,8491.774,88.38,1516.613,751.9261,1655.9966,3187.1451,1.4725,7.81,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.301,0.5,0.199,0,0,0,9.199,136.505,124.699,1.88,8595.174,89.48,1571.313,749.3931,1675.0016,3230.9051,1.3105,10.27,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.201,0.6,0.199,0,0,0,9.399,136.005,124.799,1.888,8698.574,90.58,1626.013,746.8601,1694.0066,3274.6651,1.1485,10.57,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.101,0.7,0.199,0,0,0,9.599,135.505,124.899,1.896,8801.974,91.68,1680.713,744.3271,1713.0116,3318.4251,0.9865,13.45,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.601,0.1,0.299,0,0,0,8.499,138.005,124.399,1.853,8284.174,87.08,1411.213,759.3181,1607.5226,3083.3551,1.9085,17.33,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.551,0.15,0.299,0,0,0,8.599,137.755,124.449,1.857,8335.874,87.63,1438.563,758.0516,1617.0251,3105.2351,1.8275,20.43,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.501,0.2,0.299,0,0,0,8.699,137.505,124.499,1.861,8387.574,88.18,1465.913,756.7851,1626.5276,3127.1151,1.7465,19.05,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.473,0.23,0.297,0,0,0,8.757,137.365,124.527,1.8633,8416.542,88.47,1481.149,756.0293,1632.0583,3139.6933,1.6989,20.25,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.451,0.25,0.299,0,0,0,8.799,137.255,124.549,1.865,8439.274,88.73,1493.263,755.5186,1636.0301,3148.9951,1.6655,19.78,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.401,0.3,0.299,0,0,0,8.899,137.005,124.599,1.869,8490.974,89.28,1520.613,754.2521,1645.5326,3170.8751,1.5845,11.6,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.301,0.4,0.299,0,0,0,9.099,136.505,124.699,1.877,8594.374,90.38,1575.313,751.7191,1664.5376,3214.6351,1.4225,13.69,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.201,0.5,0.299,0,0,0,9.299,136.005,124.799,1.885,8697.774,91.48,1630.013,749.1861,1683.5426,3258.3951,1.2605,13.09,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.101,0.6,0.299,0,0,0,9.499,135.505,124.899,1.893,8801.174,92.58,1684.713,746.6531,1702.5476,3302.1551,1.0985,12.11,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.501,0.1,0.399,0,0,0,8.599,137.505,124.499,1.858,8386.774,89.08,1469.913,759.1111,1616.0636,3110.8451,1.8585,13.81,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.454,0.15,0.396,0,0,0,8.696,137.27,124.546,1.8618,8435.396,89.57,1495.502,757.8508,1625.3099,3131.9004,1.779,13.58,1,30-100,,,,,,,,,,,,,,,,,,,,,,
-,0.424,0.18,0.396,0,0,0,8.756,137.12,124.576,1.8642,8466.416,89.9,1511.912,757.0909,1631.0114,3145.0284,1.7304,6.99,1,30-100,,,,,,,,,,,,,,,,,,,,,,
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-,0.3,0.3,0.3,0,0.1,0,8.6,136.5,125.4,1.849,8315.6,84.37,1621.4,743.094,1630.52,3158.219,1.362,16.84,1,10_50,,,,,,,,,,,,,,,,,,,,,,
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-,0.505,0.3,0.075,0,0.12,0,8.315,137.525,125.335,1.8338,8049.47,78.884,1509.365,741.3286,1608.2832,3093.7803,1.4301,18.45,1,10_50,,,,,,,,,,,,,,,,,,,,,,
-,0.455,0.3,0.125,0,0.12,0,8.365,137.275,125.385,1.8363,8100.77,79.884,1538.715,741.2251,1612.5537,3107.5253,1.4051,13.25,1,10_50,,,,,,,,,,,,,,,,,,,,,,
-,0.405,0.3,0.175,0,0.12,0,8.415,137.025,125.435,1.8388,8152.07,80.884,1568.065,741.1216,1616.8242,3121.2703,1.3801,16.77,1,10_50,,,0.621,0.286,0.079,0.014,0,0,8.623,138.175,124.379,1.8575,8240.502,84.922,1397.801,753.5277,1624.4696,3104.6865,1.6777,0.54,,
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-,0.3,0.3,0.28,0,0.12,0,8.52,136.5,125.54,1.844,8259.8,82.984,1629.7,740.9042,1625.7922,3150.1348,1.3276,12.94,1,10_50,,,0.501,0.167,0.261,0.071,0,0,8.453,137.86,124.499,1.86,8262.35,88.051,1496.485,749.918,1618.97777,3104.3368,1.6187,1.69,1,
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-FeNiCo_new,0.625,0.34,0.035,0,0,0,8.715,138.125,124.375,1.859,8261.47,84.44,1387.525,753.7854,1630.5864,3115.8055,1.6517,0.3,1,30-100,,Q4,0.4184,0.0937,0.4085,0.0794,0,0,8.4371,137.489,124.5816,1.8619,8331.7272,90.3123,1551.364,750.5487,1617.877844,3113.05795,1.64,0.875,1,10_50
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-,0.63,0.33,0.04,0,0,0,8.7,138.15,124.37,1.8584,8256.26,84.43,1384.99,754.0283,1629.1129,3112.804,1.6654,0.4,1,30-100,,Q6,0.3997,0.0686,0.395,0.079,0,0.0577,8.5473,137.3935,124.7734,1.8632,8352.5706,108.2246,1539.5231,750.2933,1634.731508,3132.8096,1.5605,6.04,1,10_50
-,0.625,0.335,0.04,0,0,0,8.71,138.125,124.375,1.8588,8261.43,84.485,1387.725,753.9017,1630.0632,3114.992,1.6573,0.5,1,30-100,,Q7,0.4404,0.1371,0.3467,0.0758,0,0,8.4693,137.581,124.5596,1.8621,8315.8384,89.5033,1535.2308,749.9719,1620.74792,3114.95405,1.6108,3.34,1,10_50
-,0.635,0.315,0.05,0,0,0,8.68,138.175,124.365,1.8577,8251.01,84.465,1382.655,754.3876,1627.1163,3108.989,1.6847,0.1,1,30-100,,Q8,0.562,0.231,0.161,0.046,0,0,8.531,138.04,124.438,1.8588,8244.276,86.405,1447.818,751.2439,1621.9072,3104.1107,1.6356,8.38,1,10_50
-,0.625,0.325,0.05,0,0,0,8.7,138.125,124.375,1.8585,8261.35,84.575,1388.125,754.1343,1629.0168,3113.365,1.6685,0.5,1,30-100,,Q9,0.501,0.167,0.261,0.071,0,0,8.453,137.86,124.499,1.86,8262.35,88.051,1496.485,749.91802,1618.9778,3104.3368,1.6187,1.75,1,10_50
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-,0.625,0.315,0.06,0,0,0,8.69,138.125,124.375,1.8582,8261.27,84.665,1388.525,754.3669,1627.9704,3111.738,1.6797,0.1,1,30-100,,Q11,0.602,0.2407,0.0927,0.0075,0,0.0568,8.7274,138.0079,124.532,1.8577,8269.6701,102.7722,1384.2527,754.1914773,1638.8419,3121.517272,1.6358,8.78,0.9997,10_50
diff --git a/Tutorial_NN.ipynb b/Tutorial_NN.ipynb
index e4f2d22676437eb88397788cca95cb9e562a0ad0..31a666447d09ee4dde4e221927592baf61ecb988 100644
--- a/Tutorial_NN.ipynb
+++ b/Tutorial_NN.ipynb
@@ -5,8 +5,7 @@
     "colab": {
       "name": "Tutorial_BigMax.ipynb",
       "provenance": [],
-      "collapsed_sections": [],
-      "toc_visible": true
+      "collapsed_sections": []
     },
     "kernelspec": {
       "name": "python3",
@@ -62,7 +61,7 @@
         "\n",
         "sns.set(color_codes=True)"
       ],
-      "execution_count": null,
+      "execution_count": 1,
       "outputs": []
     },
     {
@@ -81,13 +80,13 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "dTzbyKG1o_0i",
-        "outputId": "53cc21f5-4fa5-4697-9d7d-524ff42e52d8"
+        "outputId": "a7741bb9-e61a-47a5-b91b-1862e0778277"
       },
       "source": [
         "!pip install bayesian-optimization\n",
         "!pip install lightgbm"
       ],
-      "execution_count": null,
+      "execution_count": 2,
       "outputs": [
         {
           "output_type": "stream",
@@ -101,14 +100,14 @@
             "Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.7/dist-packages (from scikit-learn>=0.18.0->bayesian-optimization) (1.0.1)\n",
             "Building wheels for collected packages: bayesian-optimization\n",
             "  Building wheel for bayesian-optimization (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
-            "  Created wheel for bayesian-optimization: filename=bayesian_optimization-1.2.0-py3-none-any.whl size=11685 sha256=2df350d24e084c203ca5cde681b1b4e4d917800b250f8d76d90c5251bc8962bd\n",
+            "  Created wheel for bayesian-optimization: filename=bayesian_optimization-1.2.0-py3-none-any.whl size=11685 sha256=fe62c2a660ed5d9d514b5ea22d24477c1375e2a76b765fe2428891c61cb98514\n",
             "  Stored in directory: /root/.cache/pip/wheels/fd/9b/71/f127d694e02eb40bcf18c7ae9613b88a6be4470f57a8528c5b\n",
             "Successfully built bayesian-optimization\n",
             "Installing collected packages: bayesian-optimization\n",
             "Successfully installed bayesian-optimization-1.2.0\n",
             "Requirement already satisfied: lightgbm in /usr/local/lib/python3.7/dist-packages (2.2.3)\n",
-            "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.7/dist-packages (from lightgbm) (0.22.2.post1)\n",
             "Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from lightgbm) (1.19.5)\n",
+            "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.7/dist-packages (from lightgbm) (0.22.2.post1)\n",
             "Requirement already satisfied: scipy in /usr/local/lib/python3.7/dist-packages (from lightgbm) (1.4.1)\n",
             "Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.7/dist-packages (from scikit-learn->lightgbm) (1.0.1)\n"
           ]
@@ -157,7 +156,7 @@
         "    def __getitem__(self, idx):\n",
         "        return torch.Tensor(self.x[idx]), torch.Tensor(self.y[idx])"
       ],
-      "execution_count": null,
+      "execution_count": 7,
       "outputs": []
     },
     {
@@ -228,7 +227,7 @@
         "    def _decode(self, z):\n",
         "        return self.decoder(z)"
       ],
-      "execution_count": null,
+      "execution_count": 8,
       "outputs": []
     },
     {
@@ -305,7 +304,7 @@
         "\n",
         "    return stats\n"
       ],
-      "execution_count": null,
+      "execution_count": 5,
       "outputs": []
     },
     {
@@ -324,13 +323,13 @@
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
-        "outputId": "62641da2-34dc-49b6-f890-4a31f9228a10"
+        "outputId": "b2397d63-7083-46d0-f2e5-4cfd56f62513"
       },
       "source": [
-        "same_seeds(1) #seed equals to 2\n",
+        "same_seeds(1) #seed equals to 1\n",
         "\n",
         "params = {\n",
-        "    'num_epoch' : 200,\n",
+        "    'num_epoch' : 100,\n",
         "    'batch_size' : 20,\n",
         "    'lr' : 5e-4,\n",
         "    'weight_decay' : 0.0,\n",
@@ -345,7 +344,7 @@
         "dataloader = DataLoader(dataset, batch_size=params['batch_size'], shuffle=True) # tensor to dataloader\n",
         "print(raw_x[50:55])"
       ],
-      "execution_count": null,
+      "execution_count": 10,
       "outputs": [
         {
           "output_type": "stream",
@@ -367,7 +366,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "AkcWFeljrTEi",
-        "outputId": "de8eca67-1aea-4ff5-b67e-d7da8abba178"
+        "outputId": "7476a512-c833-4196-b95a-d58b1c16ab3c"
       },
       "source": [
         "model = WAE(raw_x.shape[1]).to(device) # initialize the model \n",
@@ -428,212 +427,112 @@
         "\n",
         "train_WAE(model, optimizer, dataloader, params)"
       ],
-      "execution_count": null,
+      "execution_count": 11,
       "outputs": [
         {
           "output_type": "stream",
           "name": "stdout",
           "text": [
-            "[001/200] loss: 0.365267 Recon_loss: 0.364768, MMD_loss:4.989809, time: 0.511 sec\n",
-            "[002/200] loss: 0.319626 Recon_loss: 0.319206, MMD_loss:4.200720, time: 0.254 sec\n",
-            "[003/200] loss: 0.311641 Recon_loss: 0.311190, MMD_loss:4.518825, time: 0.254 sec\n",
-            "[004/200] loss: 0.308817 Recon_loss: 0.308352, MMD_loss:4.641864, time: 0.274 sec\n",
-            "[005/200] loss: 0.307272 Recon_loss: 0.306801, MMD_loss:4.709693, time: 0.282 sec\n",
-            "[006/200] loss: 0.306058 Recon_loss: 0.305591, MMD_loss:4.674590, time: 0.289 sec\n",
-            "[007/200] loss: 0.305077 Recon_loss: 0.304605, MMD_loss:4.715405, time: 0.264 sec\n",
-            "[008/200] loss: 0.304452 Recon_loss: 0.303981, MMD_loss:4.709535, time: 0.260 sec\n",
-            "[009/200] loss: 0.304019 Recon_loss: 0.303537, MMD_loss:4.816010, time: 0.260 sec\n",
-            "[010/200] loss: 0.302840 Recon_loss: 0.302368, MMD_loss:4.726309, time: 0.278 sec\n",
-            "[011/200] loss: 0.302216 Recon_loss: 0.301760, MMD_loss:4.558619, time: 0.275 sec\n",
-            "[012/200] loss: 0.301502 Recon_loss: 0.301036, MMD_loss:4.659072, time: 0.254 sec\n",
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-            "[199/200] loss: 0.295180 Recon_loss: 0.294861, MMD_loss:3.184954, time: 0.231 sec\n",
-            "[200/200] loss: 0.295205 Recon_loss: 0.294878, MMD_loss:3.269672, time: 0.247 sec\n"
+            "[001/100] loss: 0.365287 Recon_loss: 0.364788, MMD_loss:4.988922, time: 0.482 sec\n",
+            "[002/100] loss: 0.319609 Recon_loss: 0.319189, MMD_loss:4.200815, time: 0.240 sec\n",
+            "[003/100] loss: 0.311577 Recon_loss: 0.311122, MMD_loss:4.544367, time: 0.244 sec\n",
+            "[004/100] loss: 0.308807 Recon_loss: 0.308342, MMD_loss:4.655530, time: 0.173 sec\n",
+            "[005/100] loss: 0.307247 Recon_loss: 0.306776, MMD_loss:4.710283, time: 0.162 sec\n",
+            "[006/100] loss: 0.306054 Recon_loss: 0.305588, MMD_loss:4.664705, time: 0.168 sec\n",
+            "[007/100] loss: 0.305088 Recon_loss: 0.304617, MMD_loss:4.708817, time: 0.238 sec\n",
+            "[008/100] loss: 0.304573 Recon_loss: 0.304105, MMD_loss:4.686302, time: 0.191 sec\n",
+            "[009/100] loss: 0.303707 Recon_loss: 0.303228, MMD_loss:4.788946, time: 0.166 sec\n",
+            "[010/100] loss: 0.302751 Recon_loss: 0.302280, MMD_loss:4.713873, time: 0.156 sec\n",
+            "[011/100] loss: 0.301802 Recon_loss: 0.301345, MMD_loss:4.570692, time: 0.184 sec\n",
+            "[012/100] loss: 0.301485 Recon_loss: 0.301018, MMD_loss:4.667446, time: 0.162 sec\n",
+            "[013/100] loss: 0.300671 Recon_loss: 0.300216, MMD_loss:4.550119, time: 0.164 sec\n",
+            "[014/100] loss: 0.300389 Recon_loss: 0.299938, MMD_loss:4.517685, time: 0.167 sec\n",
+            "[015/100] loss: 0.300090 Recon_loss: 0.299639, MMD_loss:4.515236, time: 0.163 sec\n",
+            "[016/100] loss: 0.299518 Recon_loss: 0.299062, MMD_loss:4.564801, time: 0.156 sec\n",
+            "[017/100] loss: 0.299015 Recon_loss: 0.298569, MMD_loss:4.457237, time: 0.161 sec\n",
+            "[018/100] loss: 0.299192 Recon_loss: 0.298747, MMD_loss:4.443053, time: 0.163 sec\n",
+            "[019/100] loss: 0.298831 Recon_loss: 0.298389, MMD_loss:4.429230, time: 0.165 sec\n",
+            "[020/100] loss: 0.298761 Recon_loss: 0.298314, MMD_loss:4.470654, time: 0.219 sec\n",
+            "[021/100] loss: 0.298734 Recon_loss: 0.298295, MMD_loss:4.393027, time: 0.230 sec\n",
+            "[022/100] loss: 0.298443 Recon_loss: 0.298006, MMD_loss:4.373185, time: 0.228 sec\n",
+            "[023/100] loss: 0.299117 Recon_loss: 0.298690, MMD_loss:4.270142, time: 0.169 sec\n",
+            "[024/100] loss: 0.298156 Recon_loss: 0.297726, MMD_loss:4.298305, time: 0.160 sec\n",
+            "[025/100] loss: 0.298053 Recon_loss: 0.297621, MMD_loss:4.324094, time: 0.159 sec\n",
+            "[026/100] loss: 0.297877 Recon_loss: 0.297460, MMD_loss:4.173318, time: 0.162 sec\n",
+            "[027/100] loss: 0.297605 Recon_loss: 0.297177, MMD_loss:4.286124, time: 0.156 sec\n",
+            "[028/100] loss: 0.297636 Recon_loss: 0.297209, MMD_loss:4.271590, time: 0.188 sec\n",
+            "[029/100] loss: 0.297569 Recon_loss: 0.297137, MMD_loss:4.320729, time: 0.233 sec\n",
+            "[030/100] loss: 0.297554 Recon_loss: 0.297129, MMD_loss:4.245043, time: 0.160 sec\n",
+            "[031/100] loss: 0.297525 Recon_loss: 0.297099, MMD_loss:4.259788, time: 0.163 sec\n",
+            "[032/100] loss: 0.297699 Recon_loss: 0.297271, MMD_loss:4.274336, time: 0.161 sec\n",
+            "[033/100] loss: 0.297089 Recon_loss: 0.296667, MMD_loss:4.224826, time: 0.173 sec\n",
+            "[034/100] loss: 0.297538 Recon_loss: 0.297113, MMD_loss:4.246197, time: 0.157 sec\n",
+            "[035/100] loss: 0.297467 Recon_loss: 0.297044, MMD_loss:4.224483, time: 0.241 sec\n",
+            "[036/100] loss: 0.297129 Recon_loss: 0.296705, MMD_loss:4.234460, time: 0.230 sec\n",
+            "[037/100] loss: 0.296836 Recon_loss: 0.296420, MMD_loss:4.163971, time: 0.227 sec\n",
+            "[038/100] loss: 0.297052 Recon_loss: 0.296619, MMD_loss:4.321280, time: 0.187 sec\n",
+            "[039/100] loss: 0.296952 Recon_loss: 0.296546, MMD_loss:4.064921, time: 0.233 sec\n",
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+            "[041/100] loss: 0.297304 Recon_loss: 0.296895, MMD_loss:4.089278, time: 0.159 sec\n",
+            "[042/100] loss: 0.297130 Recon_loss: 0.296715, MMD_loss:4.145263, time: 0.214 sec\n",
+            "[043/100] loss: 0.297211 Recon_loss: 0.296795, MMD_loss:4.160071, time: 0.236 sec\n",
+            "[044/100] loss: 0.296866 Recon_loss: 0.296452, MMD_loss:4.143130, time: 0.168 sec\n",
+            "[045/100] loss: 0.296752 Recon_loss: 0.296336, MMD_loss:4.162766, time: 0.170 sec\n",
+            "[046/100] loss: 0.296653 Recon_loss: 0.296245, MMD_loss:4.076583, time: 0.159 sec\n",
+            "[047/100] loss: 0.296501 Recon_loss: 0.296101, MMD_loss:3.996096, time: 0.167 sec\n",
+            "[048/100] loss: 0.297359 Recon_loss: 0.296951, MMD_loss:4.075806, time: 0.156 sec\n",
+            "[049/100] loss: 0.296895 Recon_loss: 0.296487, MMD_loss:4.078783, time: 0.182 sec\n",
+            "[050/100] loss: 0.296613 Recon_loss: 0.296219, MMD_loss:3.934222, time: 0.241 sec\n",
+            "[051/100] loss: 0.296619 Recon_loss: 0.296196, MMD_loss:4.231486, time: 0.192 sec\n",
+            "[052/100] loss: 0.296902 Recon_loss: 0.296487, MMD_loss:4.149249, time: 0.172 sec\n",
+            "[053/100] loss: 0.296639 Recon_loss: 0.296232, MMD_loss:4.070097, time: 0.157 sec\n",
+            "[054/100] loss: 0.296636 Recon_loss: 0.296248, MMD_loss:3.872639, time: 0.161 sec\n",
+            "[055/100] loss: 0.296585 Recon_loss: 0.296192, MMD_loss:3.932009, time: 0.175 sec\n",
+            "[056/100] loss: 0.296295 Recon_loss: 0.295894, MMD_loss:4.014891, time: 0.174 sec\n",
+            "[057/100] loss: 0.296475 Recon_loss: 0.296065, MMD_loss:4.100971, time: 0.194 sec\n",
+            "[058/100] loss: 0.296458 Recon_loss: 0.296047, MMD_loss:4.109641, time: 0.162 sec\n",
+            "[059/100] loss: 0.296511 Recon_loss: 0.296105, MMD_loss:4.059724, time: 0.157 sec\n",
+            "[060/100] loss: 0.296396 Recon_loss: 0.295992, MMD_loss:4.038733, time: 0.171 sec\n",
+            "[061/100] loss: 0.296614 Recon_loss: 0.296203, MMD_loss:4.108154, time: 0.160 sec\n",
+            "[062/100] loss: 0.296747 Recon_loss: 0.296337, MMD_loss:4.106113, time: 0.167 sec\n",
+            "[063/100] loss: 0.296383 Recon_loss: 0.295984, MMD_loss:3.987412, time: 0.164 sec\n",
+            "[064/100] loss: 0.296521 Recon_loss: 0.296123, MMD_loss:3.984291, time: 0.161 sec\n",
+            "[065/100] loss: 0.296378 Recon_loss: 0.295979, MMD_loss:3.992087, time: 0.155 sec\n",
+            "[066/100] loss: 0.296210 Recon_loss: 0.295811, MMD_loss:3.988383, time: 0.175 sec\n",
+            "[067/100] loss: 0.296177 Recon_loss: 0.295773, MMD_loss:4.037848, time: 0.236 sec\n",
+            "[068/100] loss: 0.296045 Recon_loss: 0.295667, MMD_loss:3.787771, time: 0.233 sec\n",
+            "[069/100] loss: 0.296186 Recon_loss: 0.295795, MMD_loss:3.908190, time: 0.232 sec\n",
+            "[070/100] loss: 0.296298 Recon_loss: 0.295903, MMD_loss:3.944492, time: 0.223 sec\n",
+            "[071/100] loss: 0.296370 Recon_loss: 0.295976, MMD_loss:3.935484, time: 0.156 sec\n",
+            "[072/100] loss: 0.296354 Recon_loss: 0.295953, MMD_loss:4.011393, time: 0.166 sec\n",
+            "[073/100] loss: 0.296211 Recon_loss: 0.295825, MMD_loss:3.856404, time: 0.161 sec\n",
+            "[074/100] loss: 0.296478 Recon_loss: 0.296078, MMD_loss:3.995800, time: 0.161 sec\n",
+            "[075/100] loss: 0.296381 Recon_loss: 0.295980, MMD_loss:4.001204, time: 0.160 sec\n",
+            "[076/100] loss: 0.296341 Recon_loss: 0.295940, MMD_loss:4.011523, time: 0.215 sec\n",
+            "[077/100] loss: 0.296220 Recon_loss: 0.295829, MMD_loss:3.904648, time: 0.169 sec\n",
+            "[078/100] loss: 0.296117 Recon_loss: 0.295726, MMD_loss:3.912922, time: 0.165 sec\n",
+            "[079/100] loss: 0.296196 Recon_loss: 0.295803, MMD_loss:3.929377, time: 0.166 sec\n",
+            "[080/100] loss: 0.295948 Recon_loss: 0.295549, MMD_loss:3.984029, time: 0.160 sec\n",
+            "[081/100] loss: 0.295997 Recon_loss: 0.295608, MMD_loss:3.892871, time: 0.161 sec\n",
+            "[082/100] loss: 0.295835 Recon_loss: 0.295448, MMD_loss:3.866601, time: 0.162 sec\n",
+            "[083/100] loss: 0.295890 Recon_loss: 0.295501, MMD_loss:3.886154, time: 0.215 sec\n",
+            "[084/100] loss: 0.296199 Recon_loss: 0.295807, MMD_loss:3.923056, time: 0.218 sec\n",
+            "[085/100] loss: 0.295973 Recon_loss: 0.295577, MMD_loss:3.960673, time: 0.159 sec\n",
+            "[086/100] loss: 0.296010 Recon_loss: 0.295614, MMD_loss:3.961454, time: 0.161 sec\n",
+            "[087/100] loss: 0.295832 Recon_loss: 0.295442, MMD_loss:3.900643, time: 0.158 sec\n",
+            "[088/100] loss: 0.295746 Recon_loss: 0.295352, MMD_loss:3.940127, time: 0.170 sec\n",
+            "[089/100] loss: 0.295856 Recon_loss: 0.295475, MMD_loss:3.814231, time: 0.236 sec\n",
+            "[090/100] loss: 0.296133 Recon_loss: 0.295738, MMD_loss:3.948777, time: 0.235 sec\n",
+            "[091/100] loss: 0.295939 Recon_loss: 0.295552, MMD_loss:3.870931, time: 0.223 sec\n",
+            "[092/100] loss: 0.295722 Recon_loss: 0.295336, MMD_loss:3.862048, time: 0.171 sec\n",
+            "[093/100] loss: 0.295671 Recon_loss: 0.295289, MMD_loss:3.814457, time: 0.167 sec\n",
+            "[094/100] loss: 0.295676 Recon_loss: 0.295293, MMD_loss:3.827099, time: 0.162 sec\n",
+            "[095/100] loss: 0.295916 Recon_loss: 0.295534, MMD_loss:3.814622, time: 0.174 sec\n",
+            "[096/100] loss: 0.295846 Recon_loss: 0.295460, MMD_loss:3.854504, time: 0.205 sec\n",
+            "[097/100] loss: 0.295670 Recon_loss: 0.295290, MMD_loss:3.798476, time: 0.205 sec\n",
+            "[098/100] loss: 0.296372 Recon_loss: 0.295990, MMD_loss:3.812305, time: 0.158 sec\n",
+            "[099/100] loss: 0.296216 Recon_loss: 0.295829, MMD_loss:3.869949, time: 0.215 sec\n",
+            "[100/100] loss: 0.295944 Recon_loss: 0.295553, MMD_loss:3.911615, time: 0.199 sec\n"
           ]
         }
       ]
@@ -656,15 +555,15 @@
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 234
+          "height": 235
         },
         "id": "vcz36-9atIfk",
-        "outputId": "33111178-fbc0-42a3-85c2-e454e56edd67"
+        "outputId": "80c9dd91-75bc-4354-b5e3-a8a587297e09"
       },
       "source": [
         "#double check on the recontruted compositions\n",
         "#t = time.localtime()\n",
-        "model_dir = os.path.join(root,'{}/{}_200.pth'.format(params['model_name'], params['model_name']))\n",
+        "model_dir = os.path.join(root,'{}/{}_100.pth'.format(params['model_name'], params['model_name']))\n",
         "model = WAE(raw_x.shape[1]).to(device)\n",
         "model.load_state_dict(torch.load(model_dir))\n",
         "model.eval()\n",
@@ -678,7 +577,7 @@
         "#recon_x = (recon_x * (max-min)) + min\n",
         "pd.DataFrame(recon_x.round(3), columns=column_name).loc[690:695]"
       ],
-      "execution_count": null,
+      "execution_count": 12,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -713,56 +612,56 @@
               "  <tbody>\n",
               "    <tr>\n",
               "      <th>690</th>\n",
-              "      <td>0.646</td>\n",
-              "      <td>0.315</td>\n",
-              "      <td>0.038</td>\n",
+              "      <td>0.614</td>\n",
+              "      <td>0.330</td>\n",
+              "      <td>0.053</td>\n",
               "      <td>0.000</td>\n",
-              "      <td>0.001</td>\n",
+              "      <td>0.003</td>\n",
               "      <td>0.0</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>691</th>\n",
-              "      <td>0.645</td>\n",
-              "      <td>0.316</td>\n",
-              "      <td>0.038</td>\n",
+              "      <td>0.613</td>\n",
+              "      <td>0.331</td>\n",
+              "      <td>0.052</td>\n",
               "      <td>0.000</td>\n",
-              "      <td>0.001</td>\n",
+              "      <td>0.003</td>\n",
               "      <td>0.0</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>692</th>\n",
-              "      <td>0.641</td>\n",
-              "      <td>0.312</td>\n",
-              "      <td>0.046</td>\n",
-              "      <td>0.000</td>\n",
+              "      <td>0.612</td>\n",
+              "      <td>0.323</td>\n",
+              "      <td>0.062</td>\n",
               "      <td>0.001</td>\n",
+              "      <td>0.002</td>\n",
               "      <td>0.0</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>693</th>\n",
-              "      <td>0.639</td>\n",
-              "      <td>0.314</td>\n",
-              "      <td>0.045</td>\n",
+              "      <td>0.608</td>\n",
+              "      <td>0.326</td>\n",
+              "      <td>0.063</td>\n",
               "      <td>0.000</td>\n",
-              "      <td>0.001</td>\n",
+              "      <td>0.003</td>\n",
               "      <td>0.0</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>694</th>\n",
-              "      <td>0.639</td>\n",
-              "      <td>0.307</td>\n",
-              "      <td>0.053</td>\n",
+              "      <td>0.608</td>\n",
+              "      <td>0.317</td>\n",
+              "      <td>0.072</td>\n",
               "      <td>0.001</td>\n",
-              "      <td>0.000</td>\n",
+              "      <td>0.002</td>\n",
               "      <td>0.0</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>695</th>\n",
-              "      <td>0.636</td>\n",
-              "      <td>0.309</td>\n",
-              "      <td>0.054</td>\n",
-              "      <td>0.000</td>\n",
+              "      <td>0.605</td>\n",
+              "      <td>0.320</td>\n",
+              "      <td>0.073</td>\n",
               "      <td>0.001</td>\n",
+              "      <td>0.002</td>\n",
               "      <td>0.0</td>\n",
               "    </tr>\n",
               "  </tbody>\n",
@@ -771,16 +670,16 @@
             ],
             "text/plain": [
               "        Fe     Ni     Co     Cr      V   Cu\n",
-              "690  0.646  0.315  0.038  0.000  0.001  0.0\n",
-              "691  0.645  0.316  0.038  0.000  0.001  0.0\n",
-              "692  0.641  0.312  0.046  0.000  0.001  0.0\n",
-              "693  0.639  0.314  0.045  0.000  0.001  0.0\n",
-              "694  0.639  0.307  0.053  0.001  0.000  0.0\n",
-              "695  0.636  0.309  0.054  0.000  0.001  0.0"
+              "690  0.614  0.330  0.053  0.000  0.003  0.0\n",
+              "691  0.613  0.331  0.052  0.000  0.003  0.0\n",
+              "692  0.612  0.323  0.062  0.001  0.002  0.0\n",
+              "693  0.608  0.326  0.063  0.000  0.003  0.0\n",
+              "694  0.608  0.317  0.072  0.001  0.002  0.0\n",
+              "695  0.605  0.320  0.073  0.001  0.002  0.0"
             ]
           },
           "metadata": {},
-          "execution_count": 10
+          "execution_count": 12
         }
       ]
     },
@@ -789,16 +688,16 @@
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 233
+          "height": 235
         },
         "id": "uIm7HRMYthG5",
-        "outputId": "e0bc43c5-5844-4a23-8435-6da0611dfa4a"
+        "outputId": "3202a4da-a783-44d9-cec9-ebb91cc6893d"
       },
       "source": [
         "csv_data = pd.read_csv('data_base.csv', header=0).iloc[:,1:19]\n",
         "csv_data.iloc[690:696,:6].round(3)"
       ],
-      "execution_count": null,
+      "execution_count": 13,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -900,7 +799,7 @@
             ]
           },
           "metadata": {},
-          "execution_count": 11
+          "execution_count": 13
         }
       ]
     },
@@ -925,7 +824,7 @@
           "height": 549
         },
         "id": "Ua13kwzjt0jv",
-        "outputId": "37f81f68-8054-4e60-ac8f-7751f7607ea4"
+        "outputId": "b1431013-bb2a-4797-9406-15394b20e9db"
       },
       "source": [
         "sns.set_style('ticks')\n",
@@ -985,12 +884,12 @@
         "\n",
         "fig.savefig('Figure3_a.tif', bbox_inches = 'tight', pad_inches=0.01)"
       ],
-      "execution_count": null,
+      "execution_count": 14,
       "outputs": [
         {
           "output_type": "display_data",
           "data": {
-            "image/png": 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\n",
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\n",
             "text/plain": [
               "<Figure size 600x600 with 1 Axes>"
             ]
@@ -1065,7 +964,7 @@
         "    for pos, covar, w in zip(gm.means_, gm.covariances_, gm.weights_):\n",
         "        draw_ellipse(pos, covar, alpha= 0.75*w * w_factor, facecolor='slategrey', zorder=-10)"
       ],
-      "execution_count": null,
+      "execution_count": 21,
       "outputs": []
     },
     {
@@ -1082,29 +981,29 @@
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 431
+          "height": 434
         },
         "id": "lud3Guz13qvc",
-        "outputId": "24f2847d-19dd-4161-9c02-36bf28b9857e"
+        "outputId": "6aed482a-0958-411c-8e37-1fe4a6c54843"
       },
       "source": [
         "gm = GaussianMixture(n_components=4, random_state=0, init_params='kmeans').fit(latents) #plot a n_components v.s. Average negative log likelihood\n",
         "print('Average negative log likelihood:', -1*gm.score(latents))\n",
         "plot_gmm(gm, latents)"
       ],
-      "execution_count": null,
+      "execution_count": 22,
       "outputs": [
         {
           "output_type": "stream",
           "name": "stdout",
           "text": [
-            "Average negative log likelihood: 1.997225223049401\n"
+            "Average negative log likelihood: 1.3329691491445406\n"
           ]
         },
         {
           "output_type": "display_data",
           "data": {
-            "image/png": 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\n",
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\n",
             "text/plain": [
               "<Figure size 400x400 with 1 Axes>"
             ]
@@ -1129,7 +1028,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "P8_AGKU333z8",
-        "outputId": "57be67a8-a61f-41ce-a8f0-3e30e3ed8182"
+        "outputId": "f1da3e61-899b-4970-d681-bd025172fa57"
       },
       "source": [
         "scores=[] #using elbow method to find out the best # of components\n",
@@ -1138,23 +1037,23 @@
         "  print('Average negative log likelihood:', -1*gm.score(latents))\n",
         "  scores.append(-1*gm.score(latents))"
       ],
-      "execution_count": null,
+      "execution_count": 23,
       "outputs": [
         {
           "output_type": "stream",
           "name": "stdout",
           "text": [
-            "Average negative log likelihood: 2.395885633850088\n",
-            "Average negative log likelihood: 2.2357299041228\n",
-            "Average negative log likelihood: 2.151813013300802\n",
-            "Average negative log likelihood: 1.997225223049401\n",
-            "Average negative log likelihood: 1.8285200765222327\n",
-            "Average negative log likelihood: 1.8036536255451854\n",
-            "Average negative log likelihood: 1.7927436792221625\n",
-            "Average negative log likelihood: 1.7941665269689822\n",
-            "Average negative log likelihood: 1.7775483462620811\n",
-            "Average negative log likelihood: 1.7336035843338682\n",
-            "Average negative log likelihood: 1.66399637356645\n"
+            "Average negative log likelihood: 1.6934940458870427\n",
+            "Average negative log likelihood: 1.5939515381329854\n",
+            "Average negative log likelihood: 1.3446285344006002\n",
+            "Average negative log likelihood: 1.3329691491445406\n",
+            "Average negative log likelihood: 1.1957491673672727\n",
+            "Average negative log likelihood: 1.1577345788629838\n",
+            "Average negative log likelihood: 1.1085116154613388\n",
+            "Average negative log likelihood: 1.106149515195862\n",
+            "Average negative log likelihood: 1.0059797843308775\n",
+            "Average negative log likelihood: 1.012995374227744\n",
+            "Average negative log likelihood: 0.9596908609051571\n"
           ]
         }
       ]
@@ -1167,7 +1066,7 @@
           "height": 268
         },
         "id": "ywT4MXG45OkC",
-        "outputId": "367e662d-fc3f-4a89-8176-920ee797d9d6"
+        "outputId": "befdfcfc-0c12-4706-ce15-16ee75fbdcf4"
       },
       "source": [
         "import matplotlib.pyplot as plt\n",
@@ -1176,12 +1075,12 @@
         "plt.plot(range(1,12),scores)\n",
         "plt.show()"
       ],
-      "execution_count": null,
+      "execution_count": 24,
       "outputs": [
         {
           "output_type": "display_data",
           "data": {
-            "image/png": 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\n",
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\n",
             "text/plain": [
               "<Figure size 432x288 with 1 Axes>"
             ]
@@ -1220,7 +1119,7 @@
         "    def forward(self, x):\n",
         "        return self.fc(x)"
       ],
-      "execution_count": null,
+      "execution_count": 25,
       "outputs": []
     },
     {
@@ -1239,14 +1138,14 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "6ervUJMQ5W7N",
-        "outputId": "633582ed-d556-479d-c463-2622c9b6eb9e"
+        "outputId": "a1613e9e-0970-48da-bb63-c644f122c192"
       },
       "source": [
         "same_seeds(1)\n",
         "\n",
         "params['cls_bs'] = 16\n",
         "params['cls_lr'] = 1e-4\n",
-        "params['cls_epoch'] = 200\n",
+        "params['cls_epoch'] = 100\n",
         "params['num_fold'] = 5\n",
         "\n",
         "\n",
@@ -1313,18 +1212,18 @@
         "\n",
         "train_acc, test_acc = training_Cls(cls, opt, params)"
       ],
-      "execution_count": null,
+      "execution_count": 26,
       "outputs": [
         {
           "output_type": "stream",
           "name": "stdout",
           "text": [
-            "[1/5] train_acc: 0.8327 || test_acc: 0.8929\n",
-            "[2/5] train_acc: 0.8743 || test_acc: 0.7122\n",
-            "[3/5] train_acc: 0.8187 || test_acc: 0.9065\n",
-            "[4/5] train_acc: 0.8528 || test_acc: 0.8058\n",
-            "[5/5] train_acc: 0.8294 || test_acc: 0.9137\n",
-            "train_acc: 0.8416 || test_acc: 0.8462\n"
+            "[1/5] train_acc: 0.8183 || test_acc: 0.8929\n",
+            "[2/5] train_acc: 0.8797 || test_acc: 0.7122\n",
+            "[3/5] train_acc: 0.8205 || test_acc: 0.9065\n",
+            "[4/5] train_acc: 0.8474 || test_acc: 0.8058\n",
+            "[5/5] train_acc: 0.8276 || test_acc: 0.9137\n",
+            "train_acc: 0.8387 || test_acc: 0.8462\n"
           ]
         }
       ]
@@ -1369,7 +1268,7 @@
         "\n",
         "    return np.stack(sample_z)"
       ],
-      "execution_count": null,
+      "execution_count": 27,
       "outputs": []
     },
     {
@@ -1388,20 +1287,20 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "Z4uB20Bf6VZ_",
-        "outputId": "51e27575-9aa8-43bd-fac8-21ebd79c984b"
+        "outputId": "b6acefb4-c685-460a-9d5b-a52c718bf379"
       },
       "source": [
-        "sample_z = MCMC(gm=gm, classifier=cls, n_samples=10000, sigma=0.5)\n",
+        "sample_z = MCMC(gm=gm, classifier=cls, n_samples=5000, sigma=0.5)\n",
         "WAE_comps = model._decode(torch.Tensor(sample_z).to(device)).detach().cpu().numpy()  # new_comps save as csv and goes to TERM\n",
         "print('Sample size:', sample_z.shape)"
       ],
-      "execution_count": null,
+      "execution_count": 28,
       "outputs": [
         {
           "output_type": "stream",
           "name": "stdout",
           "text": [
-            "Sample size: (2966, 2)\n"
+            "Sample size: (1129, 2)\n"
           ]
         }
       ]
@@ -1412,9 +1311,9 @@
         "id": "YJJIWk8L6go6",
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 203
+          "height": 204
         },
-        "outputId": "0fb56e94-9c50-411e-faa2-899fbfba91be"
+        "outputId": "07f09e18-7012-4518-cc25-45669c346c23"
       },
       "source": [
         "WAE_comps=pd.DataFrame(WAE_comps)\n",
@@ -1422,7 +1321,7 @@
         "WAE_comps.to_csv('comps_WAE.csv',index=False)\n",
         "WAE_comps.head()"
       ],
-      "execution_count": null,
+      "execution_count": 29,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -1457,64 +1356,64 @@
               "  <tbody>\n",
               "    <tr>\n",
               "      <th>0</th>\n",
-              "      <td>0.014077</td>\n",
-              "      <td>0.231521</td>\n",
-              "      <td>0.754396</td>\n",
-              "      <td>1.664660e-06</td>\n",
-              "      <td>0.000004</td>\n",
-              "      <td>1.433623e-07</td>\n",
+              "      <td>0.621771</td>\n",
+              "      <td>0.278061</td>\n",
+              "      <td>0.066139</td>\n",
+              "      <td>0.033976</td>\n",
+              "      <td>0.000051</td>\n",
+              "      <td>0.000002</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>1</th>\n",
-              "      <td>0.141357</td>\n",
-              "      <td>0.333938</td>\n",
-              "      <td>0.524631</td>\n",
-              "      <td>7.136076e-07</td>\n",
-              "      <td>0.000072</td>\n",
-              "      <td>3.349655e-07</td>\n",
+              "      <td>0.290811</td>\n",
+              "      <td>0.193655</td>\n",
+              "      <td>0.426399</td>\n",
+              "      <td>0.000012</td>\n",
+              "      <td>0.089111</td>\n",
+              "      <td>0.000012</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>2</th>\n",
-              "      <td>0.271059</td>\n",
-              "      <td>0.108174</td>\n",
-              "      <td>0.540923</td>\n",
-              "      <td>8.701057e-07</td>\n",
-              "      <td>0.079841</td>\n",
-              "      <td>1.835431e-06</td>\n",
+              "      <td>0.356562</td>\n",
+              "      <td>0.032219</td>\n",
+              "      <td>0.479116</td>\n",
+              "      <td>0.132074</td>\n",
+              "      <td>0.000014</td>\n",
+              "      <td>0.000015</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>3</th>\n",
-              "      <td>0.274571</td>\n",
-              "      <td>0.086473</td>\n",
-              "      <td>0.587006</td>\n",
-              "      <td>1.669761e-06</td>\n",
-              "      <td>0.051947</td>\n",
-              "      <td>1.217349e-06</td>\n",
+              "      <td>0.232804</td>\n",
+              "      <td>0.026366</td>\n",
+              "      <td>0.633758</td>\n",
+              "      <td>0.107050</td>\n",
+              "      <td>0.000015</td>\n",
+              "      <td>0.000007</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>4</th>\n",
-              "      <td>0.461331</td>\n",
-              "      <td>0.259892</td>\n",
-              "      <td>0.183169</td>\n",
-              "      <td>2.289097e-06</td>\n",
-              "      <td>0.095604</td>\n",
-              "      <td>2.271647e-06</td>\n",
+              "      <td>0.431049</td>\n",
+              "      <td>0.083583</td>\n",
+              "      <td>0.353330</td>\n",
+              "      <td>0.132014</td>\n",
+              "      <td>0.000015</td>\n",
+              "      <td>0.000009</td>\n",
               "    </tr>\n",
               "  </tbody>\n",
               "</table>\n",
               "</div>"
             ],
             "text/plain": [
-              "         Fe        Ni        Co            Cr         V            Cu\n",
-              "0  0.014077  0.231521  0.754396  1.664660e-06  0.000004  1.433623e-07\n",
-              "1  0.141357  0.333938  0.524631  7.136076e-07  0.000072  3.349655e-07\n",
-              "2  0.271059  0.108174  0.540923  8.701057e-07  0.079841  1.835431e-06\n",
-              "3  0.274571  0.086473  0.587006  1.669761e-06  0.051947  1.217349e-06\n",
-              "4  0.461331  0.259892  0.183169  2.289097e-06  0.095604  2.271647e-06"
+              "         Fe        Ni        Co        Cr         V        Cu\n",
+              "0  0.621771  0.278061  0.066139  0.033976  0.000051  0.000002\n",
+              "1  0.290811  0.193655  0.426399  0.000012  0.089111  0.000012\n",
+              "2  0.356562  0.032219  0.479116  0.132074  0.000014  0.000015\n",
+              "3  0.232804  0.026366  0.633758  0.107050  0.000015  0.000007\n",
+              "4  0.431049  0.083583  0.353330  0.132014  0.000015  0.000009"
             ]
           },
           "metadata": {},
-          "execution_count": 26
+          "execution_count": 29
         }
       ]
     },
@@ -1535,7 +1434,7 @@
           "height": 565
         },
         "id": "VlhEqqLS8N9x",
-        "outputId": "d2d42a7b-5247-4a28-b61c-aef817d01dc1"
+        "outputId": "a70e2992-8738-49c2-9fed-545c1925b2f9"
       },
       "source": [
         "sns.set_style('ticks')\n",
@@ -1569,12 +1468,12 @@
         "\n",
         "plt.show()"
       ],
-      "execution_count": null,
+      "execution_count": 30,
       "outputs": [
         {
           "output_type": "display_data",
           "data": {
-            "image/png": 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\n",
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\n",
             "text/plain": [
               "<Figure size 600x600 with 1 Axes>"
             ]
@@ -1683,7 +1582,7 @@
         "  train_features, test_features, train_labels, test_labels = train_test_split(x, y, test_size=0.15, random_state=seed, stratify=y_binned)\n",
         "  return train_features, test_features, train_labels, test_labels"
       ],
-      "execution_count": null,
+      "execution_count": 31,
       "outputs": []
     },
     {
@@ -1728,7 +1627,7 @@
         "\n",
         "train_features, test_features, train_labels, test_labels = normalizing_data(data, seed=42)"
       ],
-      "execution_count": null,
+      "execution_count": 32,
       "outputs": []
     },
     {
@@ -1738,12 +1637,12 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "IuRdKijDE01B",
-        "outputId": "f047e8ab-a7b5-4bc5-f20e-cc8792b763db"
+        "outputId": "186ab58a-56d5-40bd-ae70-aebb667016ba"
       },
       "source": [
         "  print(torch.cuda.is_available())"
       ],
-      "execution_count": null,
+      "execution_count": 33,
       "outputs": [
         {
           "output_type": "stream",
@@ -1868,7 +1767,7 @@
         "\n",
         "    "
       ],
-      "execution_count": null,
+      "execution_count": 34,
       "outputs": []
     },
     {
@@ -1888,7 +1787,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "bHuElmYp-2Ws",
-        "outputId": "5cf1139c-aeab-45cc-8a64-c135ca09f3cb"
+        "outputId": "538b0f58-d458-4517-f65c-ae027c345a35"
       },
       "source": [
         "bounds = {'lr': (0.0005,0.001), 'batch_size': (32,64), 'module__n_hidden': (16,526),\n",
@@ -1916,7 +1815,7 @@
         "print(Rtime)\n",
         "table.to_excel(file_name)"
       ],
-      "execution_count": null,
+      "execution_count": 35,
       "outputs": [
         {
           "output_type": "stream",
@@ -1936,11 +1835,11 @@
             "  )\n",
             "  (predict): Linear(in_features=16, out_features=1, bias=True)\n",
             ")\n",
-            "epoch 0: train loss 1.090410, test loss 1.059720\n",
+            "epoch 0: train loss 0.967301, test loss 0.964457\n",
             "=== train end ===\n",
-            "Test set: Average loss: 0.8703\n",
-            "Test set: Average loss: 0.9424\n",
-            "| \u001b[0m 1       \u001b[0m | \u001b[0m-0.9424  \u001b[0m | \u001b[0m 45.34   \u001b[0m | \u001b[0m 0.000860\u001b[0m | \u001b[0m 16.06   \u001b[0m | \u001b[0m 4.419   \u001b[0m |\n",
+            "Test set: Average loss: 0.6603\n",
+            "Test set: Average loss: 0.6365\n",
+            "| \u001b[0m 1       \u001b[0m | \u001b[0m-0.6365  \u001b[0m | \u001b[0m 45.34   \u001b[0m | \u001b[0m 0.000860\u001b[0m | \u001b[0m 16.06   \u001b[0m | \u001b[0m 4.419   \u001b[0m |\n",
             "\n",
             "=== train begin ===\n",
             "Net(\n",
@@ -1953,11 +1852,11 @@
             "  )\n",
             "  (predict): Linear(in_features=110, out_features=1, bias=True)\n",
             ")\n",
-            "epoch 0: train loss 0.961760, test loss 0.938732\n",
+            "epoch 0: train loss 0.952195, test loss 0.945242\n",
             "=== train end ===\n",
-            "Test set: Average loss: 0.2994\n",
-            "Test set: Average loss: 0.3272\n",
-            "| \u001b[95m 2       \u001b[0m | \u001b[95m-0.3272  \u001b[0m | \u001b[95m 36.7    \u001b[0m | \u001b[95m 0.000546\u001b[0m | \u001b[95m 111.0   \u001b[0m | \u001b[95m 4.764   \u001b[0m |\n",
+            "Test set: Average loss: 0.4462\n",
+            "Test set: Average loss: 0.4631\n",
+            "| \u001b[95m 2       \u001b[0m | \u001b[95m-0.4631  \u001b[0m | \u001b[95m 36.7    \u001b[0m | \u001b[95m 0.000546\u001b[0m | \u001b[95m 111.0   \u001b[0m | \u001b[95m 4.764   \u001b[0m |\n",
             "\n",
             "=== train begin ===\n",
             "Net(\n",
@@ -1973,11 +1872,11 @@
             "  )\n",
             "  (predict): Linear(in_features=229, out_features=1, bias=True)\n",
             ")\n",
-            "epoch 0: train loss 0.949415, test loss 0.948496\n",
+            "epoch 0: train loss 0.887715, test loss 0.865657\n",
             "=== train end ===\n",
-            "Test set: Average loss: 0.3680\n",
-            "Test set: Average loss: 0.3848\n",
-            "| \u001b[0m 3       \u001b[0m | \u001b[0m-0.3848  \u001b[0m | \u001b[0m 44.7    \u001b[0m | \u001b[0m 0.000769\u001b[0m | \u001b[0m 229.8   \u001b[0m | \u001b[0m 7.482   \u001b[0m |\n",
+            "Test set: Average loss: 0.5808\n",
+            "Test set: Average loss: 0.5417\n",
+            "| \u001b[0m 3       \u001b[0m | \u001b[0m-0.5417  \u001b[0m | \u001b[0m 44.7    \u001b[0m | \u001b[0m 0.000769\u001b[0m | \u001b[0m 229.8   \u001b[0m | \u001b[0m 7.482   \u001b[0m |\n",
             "\n",
             "=== train begin ===\n",
             "Net(\n",
@@ -1993,11 +1892,11 @@
             "  )\n",
             "  (predict): Linear(in_features=29, out_features=1, bias=True)\n",
             ")\n",
-            "epoch 0: train loss 0.969080, test loss 0.968986\n",
+            "epoch 0: train loss 0.970142, test loss 0.981575\n",
             "=== train end ===\n",
-            "Test set: Average loss: 0.4092\n",
-            "Test set: Average loss: 0.4524\n",
-            "| \u001b[0m 4       \u001b[0m | \u001b[0m-0.4524  \u001b[0m | \u001b[0m 38.54   \u001b[0m | \u001b[0m 0.000939\u001b[0m | \u001b[0m 29.97   \u001b[0m | \u001b[0m 7.364   \u001b[0m |\n",
+            "Test set: Average loss: 0.4597\n",
+            "Test set: Average loss: 0.4817\n",
+            "| \u001b[0m 4       \u001b[0m | \u001b[0m-0.4817  \u001b[0m | \u001b[0m 38.54   \u001b[0m | \u001b[0m 0.000939\u001b[0m | \u001b[0m 29.97   \u001b[0m | \u001b[0m 7.364   \u001b[0m |\n",
             "\n",
             "=== train begin ===\n",
             "Net(\n",
@@ -2009,11 +1908,11 @@
             "  )\n",
             "  (predict): Linear(in_features=87, out_features=1, bias=True)\n",
             ")\n",
-            "epoch 0: train loss 0.975493, test loss 0.926396\n",
+            "epoch 0: train loss 0.989642, test loss 0.933345\n",
             "=== train end ===\n",
-            "Test set: Average loss: 0.5092\n",
-            "Test set: Average loss: 0.4794\n",
-            "| \u001b[0m 5       \u001b[0m | \u001b[0m-0.4794  \u001b[0m | \u001b[0m 45.35   \u001b[0m | \u001b[0m 0.000779\u001b[0m | \u001b[0m 87.6    \u001b[0m | \u001b[0m 3.585   \u001b[0m |\n",
+            "Test set: Average loss: 0.3933\n",
+            "Test set: Average loss: 0.4565\n",
+            "| \u001b[95m 5       \u001b[0m | \u001b[95m-0.4565  \u001b[0m | \u001b[95m 45.35   \u001b[0m | \u001b[95m 0.000779\u001b[0m | \u001b[95m 87.6    \u001b[0m | \u001b[95m 3.585   \u001b[0m |\n",
             "\n",
             "=== train begin ===\n",
             "Net(\n",
@@ -2029,11 +1928,11 @@
             "  )\n",
             "  (predict): Linear(in_features=175, out_features=1, bias=True)\n",
             ")\n",
-            "epoch 0: train loss 0.960191, test loss 0.977315\n",
+            "epoch 0: train loss 0.997312, test loss 0.987231\n",
             "=== train end ===\n",
-            "Test set: Average loss: 0.3248\n",
-            "Test set: Average loss: 0.3707\n",
-            "| \u001b[0m 6       \u001b[0m | \u001b[0m-0.3707  \u001b[0m | \u001b[0m 57.62   \u001b[0m | \u001b[0m 0.000984\u001b[0m | \u001b[0m 175.8   \u001b[0m | \u001b[0m 7.539   \u001b[0m |\n",
+            "Test set: Average loss: 0.4088\n",
+            "Test set: Average loss: 0.4704\n",
+            "| \u001b[0m 6       \u001b[0m | \u001b[0m-0.4704  \u001b[0m | \u001b[0m 57.62   \u001b[0m | \u001b[0m 0.000984\u001b[0m | \u001b[0m 175.8   \u001b[0m | \u001b[0m 7.539   \u001b[0m |\n",
             "\n",
             "=== train begin ===\n",
             "Net(\n",
@@ -2044,11 +1943,11 @@
             "  )\n",
             "  (predict): Linear(in_features=59, out_features=1, bias=True)\n",
             ")\n",
-            "epoch 0: train loss 0.972694, test loss 0.976538\n",
+            "epoch 0: train loss 0.945286, test loss 0.931218\n",
             "=== train end ===\n",
-            "Test set: Average loss: 0.6441\n",
-            "Test set: Average loss: 0.6379\n",
-            "| \u001b[0m 7       \u001b[0m | \u001b[0m-0.6379  \u001b[0m | \u001b[0m 60.04   \u001b[0m | \u001b[0m 0.000947\u001b[0m | \u001b[0m 59.37   \u001b[0m | \u001b[0m 2.312   \u001b[0m |\n",
+            "Test set: Average loss: 0.4456\n",
+            "Test set: Average loss: 0.4744\n",
+            "| \u001b[0m 7       \u001b[0m | \u001b[0m-0.4744  \u001b[0m | \u001b[0m 60.04   \u001b[0m | \u001b[0m 0.000947\u001b[0m | \u001b[0m 59.37   \u001b[0m | \u001b[0m 2.312   \u001b[0m |\n",
             "\n",
             "=== train begin ===\n",
             "Net(\n",
@@ -2062,11 +1961,11 @@
             "  )\n",
             "  (predict): Linear(in_features=66, out_features=1, bias=True)\n",
             ")\n",
-            "epoch 0: train loss 0.955202, test loss 0.944204\n",
+            "epoch 0: train loss 0.951440, test loss 0.957168\n",
             "=== train end ===\n",
-            "Test set: Average loss: 0.3059\n",
-            "Test set: Average loss: 0.3335\n",
-            "| \u001b[0m 8       \u001b[0m | \u001b[0m-0.3335  \u001b[0m | \u001b[0m 37.43   \u001b[0m | \u001b[0m 0.000939\u001b[0m | \u001b[0m 66.16   \u001b[0m | \u001b[0m 5.369   \u001b[0m |\n",
+            "Test set: Average loss: 0.3364\n",
+            "Test set: Average loss: 0.3963\n",
+            "| \u001b[95m 8       \u001b[0m | \u001b[95m-0.3963  \u001b[0m | \u001b[95m 37.43   \u001b[0m | \u001b[95m 0.000939\u001b[0m | \u001b[95m 66.16   \u001b[0m | \u001b[95m 5.369   \u001b[0m |\n",
             "\n",
             "=== train begin ===\n",
             "Net(\n",
@@ -2079,11 +1978,11 @@
             "  )\n",
             "  (predict): Linear(in_features=368, out_features=1, bias=True)\n",
             ")\n",
-            "epoch 0: train loss 0.902503, test loss 0.891311\n",
+            "epoch 0: train loss 0.948707, test loss 0.970389\n",
             "=== train end ===\n",
-            "Test set: Average loss: 0.4176\n",
-            "Test set: Average loss: 0.4810\n",
-            "| \u001b[0m 9       \u001b[0m | \u001b[0m-0.481   \u001b[0m | \u001b[0m 62.65   \u001b[0m | \u001b[0m 0.000766\u001b[0m | \u001b[0m 368.9   \u001b[0m | \u001b[0m 4.524   \u001b[0m |\n",
+            "Test set: Average loss: 0.3856\n",
+            "Test set: Average loss: 0.4180\n",
+            "| \u001b[0m 9       \u001b[0m | \u001b[0m-0.418   \u001b[0m | \u001b[0m 62.65   \u001b[0m | \u001b[0m 0.000766\u001b[0m | \u001b[0m 368.9   \u001b[0m | \u001b[0m 4.524   \u001b[0m |\n",
             "\n",
             "=== train begin ===\n",
             "Net(\n",
@@ -2100,30 +1999,37 @@
             "  )\n",
             "  (predict): Linear(in_features=25, out_features=1, bias=True)\n",
             ")\n",
-            "epoch 0: train loss 1.018245, test loss 1.006838\n",
+            "epoch 0: train loss 0.964479, test loss 0.965559\n",
             "=== train end ===\n",
-            "Test set: Average loss: 0.7963\n",
-            "Test set: Average loss: 0.8304\n",
-            "| \u001b[0m 10      \u001b[0m | \u001b[0m-0.8304  \u001b[0m | \u001b[0m 53.97   \u001b[0m | \u001b[0m 0.000917\u001b[0m | \u001b[0m 25.33   \u001b[0m | \u001b[0m 8.001   \u001b[0m |\n",
+            "Test set: Average loss: 0.4016\n",
+            "Test set: Average loss: 0.5237\n",
+            "| \u001b[0m 10      \u001b[0m | \u001b[0m-0.5237  \u001b[0m | \u001b[0m 53.97   \u001b[0m | \u001b[0m 0.000917\u001b[0m | \u001b[0m 25.33   \u001b[0m | \u001b[0m 8.001   \u001b[0m |\n",
             "\n",
             "=== train begin ===\n",
             "Net(\n",
-            "  (hidden1): Linear(in_features=17, out_features=109, bias=True)\n",
+            "  (hidden1): Linear(in_features=17, out_features=526, bias=True)\n",
             "  (hiddens): ModuleList(\n",
-            "    (0): Linear(in_features=109, out_features=109, bias=True)\n",
-            "    (1): Linear(in_features=109, out_features=109, bias=True)\n",
-            "    (2): Linear(in_features=109, out_features=109, bias=True)\n",
+            "    (0): Linear(in_features=526, out_features=526, bias=True)\n",
+            "    (1): Linear(in_features=526, out_features=526, bias=True)\n",
+            "    (2): Linear(in_features=526, out_features=526, bias=True)\n",
+            "    (3): Linear(in_features=526, out_features=526, bias=True)\n",
+            "    (4): Linear(in_features=526, out_features=526, bias=True)\n",
+            "    (5): Linear(in_features=526, out_features=526, bias=True)\n",
+            "    (6): Linear(in_features=526, out_features=526, bias=True)\n",
+            "    (7): Linear(in_features=526, out_features=526, bias=True)\n",
+            "    (8): Linear(in_features=526, out_features=526, bias=True)\n",
+            "    (9): Linear(in_features=526, out_features=526, bias=True)\n",
             "  )\n",
-            "  (predict): Linear(in_features=109, out_features=1, bias=True)\n",
+            "  (predict): Linear(in_features=526, out_features=1, bias=True)\n",
             ")\n",
-            "epoch 0: train loss 0.970867, test loss 0.911994\n",
+            "epoch 0: train loss 0.967434, test loss 0.948400\n",
             "=== train end ===\n",
-            "Test set: Average loss: 0.3724\n",
-            "Test set: Average loss: 0.4202\n",
-            "| \u001b[0m 11      \u001b[0m | \u001b[0m-0.4202  \u001b[0m | \u001b[0m 37.32   \u001b[0m | \u001b[0m 0.000629\u001b[0m | \u001b[0m 109.1   \u001b[0m | \u001b[0m 3.425   \u001b[0m |\n",
+            "Test set: Average loss: 0.5070\n",
+            "Test set: Average loss: 0.6614\n",
+            "| \u001b[0m 11      \u001b[0m | \u001b[0m-0.6614  \u001b[0m | \u001b[0m 32.0    \u001b[0m | \u001b[0m 0.001   \u001b[0m | \u001b[0m 526.0   \u001b[0m | \u001b[0m 10.0    \u001b[0m |\n",
             "=========================================================================\n",
-            "{'target': -0.3271511296431224, 'params': {'batch_size': 36.69618850614762, 'lr': 0.0005461692973843989, 'module__n_hidden': 110.99270780261216, 'module__w': 4.764485816344382}}\n",
-            "0:04:57.421579\n"
+            "{'target': -0.3962911367416382, 'params': {'batch_size': 37.43457342606621, 'lr': 0.0009390712517147066, 'module__n_hidden': 66.15688525485555, 'module__w': 5.368861000040417}}\n",
+            "0:00:20.704944\n"
           ]
         }
       ]
@@ -2133,15 +2039,15 @@
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 203
+          "height": 204
         },
         "id": "FE1V_s8QD-wv",
-        "outputId": "2f52ec0e-4790-4c28-c524-d83bd16f634f"
+        "outputId": "45481cc7-c088-4ac5-8961-b93d516a23f7"
       },
       "source": [
         "table.head()"
       ],
-      "execution_count": null,
+      "execution_count": 36,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -2175,7 +2081,7 @@
               "  <tbody>\n",
               "    <tr>\n",
               "      <th>0</th>\n",
-              "      <td>-0.942386</td>\n",
+              "      <td>-0.636508</td>\n",
               "      <td>45.344704</td>\n",
               "      <td>0.000860</td>\n",
               "      <td>16.058331</td>\n",
@@ -2183,7 +2089,7 @@
               "    </tr>\n",
               "    <tr>\n",
               "      <th>1</th>\n",
-              "      <td>-0.327151</td>\n",
+              "      <td>-0.463091</td>\n",
               "      <td>36.696189</td>\n",
               "      <td>0.000546</td>\n",
               "      <td>110.992708</td>\n",
@@ -2191,7 +2097,7 @@
               "    </tr>\n",
               "    <tr>\n",
               "      <th>2</th>\n",
-              "      <td>-0.384802</td>\n",
+              "      <td>-0.541740</td>\n",
               "      <td>44.696559</td>\n",
               "      <td>0.000769</td>\n",
               "      <td>229.789202</td>\n",
@@ -2199,7 +2105,7 @@
               "    </tr>\n",
               "    <tr>\n",
               "      <th>3</th>\n",
-              "      <td>-0.452406</td>\n",
+              "      <td>-0.481740</td>\n",
               "      <td>38.542472</td>\n",
               "      <td>0.000939</td>\n",
               "      <td>29.967673</td>\n",
@@ -2207,7 +2113,7 @@
               "    </tr>\n",
               "    <tr>\n",
               "      <th>4</th>\n",
-              "      <td>-0.479412</td>\n",
+              "      <td>-0.456523</td>\n",
               "      <td>45.353754</td>\n",
               "      <td>0.000779</td>\n",
               "      <td>87.597339</td>\n",
@@ -2219,15 +2125,15 @@
             ],
             "text/plain": [
               "     target  batch_size        lr  module__n_hidden  module__w\n",
-              "0 -0.942386   45.344704  0.000860         16.058331   4.418661\n",
-              "1 -0.327151   36.696189  0.000546        110.992708   4.764486\n",
-              "2 -0.384802   44.696559  0.000769        229.789202   7.481756\n",
-              "3 -0.452406   38.542472  0.000939         29.967673   7.363740\n",
-              "4 -0.479412   45.353754  0.000779         87.597339   3.584812"
+              "0 -0.636508   45.344704  0.000860         16.058331   4.418661\n",
+              "1 -0.463091   36.696189  0.000546        110.992708   4.764486\n",
+              "2 -0.541740   44.696559  0.000769        229.789202   7.481756\n",
+              "3 -0.481740   38.542472  0.000939         29.967673   7.363740\n",
+              "4 -0.456523   45.353754  0.000779         87.597339   3.584812"
             ]
           },
           "metadata": {},
-          "execution_count": 45
+          "execution_count": 36
         }
       ]
     },
@@ -2250,7 +2156,7 @@
           "height": 1000
         },
         "id": "aZ7g7ajfD9fu",
-        "outputId": "4f4bc239-5f2d-4dc8-f3cb-a8c47f630058"
+        "outputId": "4d04ec35-d078-4f00-c2c6-1cd4e2dde6c1"
       },
       "source": [
         "import datetime\n",
@@ -2388,7 +2294,7 @@
         "Rtime = endtime - starttime\n",
         "print(Rtime)"
       ],
-      "execution_count": null,
+      "execution_count": 37,
       "outputs": [
         {
           "output_type": "stream",
@@ -2408,7 +2314,7 @@
             "  )\n",
             "  (predict): Linear(in_features=110, out_features=1, bias=True)\n",
             ")\n",
-            "epoch 0: train loss 0.941584, test loss 0.901918\n",
+            "epoch 0: train loss 0.935467, test loss 0.921161\n",
             "plot curves\n",
             "4\n",
             "4\n",
@@ -2424,7 +2330,7 @@
             "  )\n",
             "  (predict): Linear(in_features=110, out_features=1, bias=True)\n",
             ")\n",
-            "epoch 0: train loss 0.930210, test loss 0.918476\n",
+            "epoch 0: train loss 0.928591, test loss 0.887510\n",
             "plot curves\n",
             "7\n",
             "7\n",
@@ -2443,7 +2349,7 @@
             "  )\n",
             "  (predict): Linear(in_features=229, out_features=1, bias=True)\n",
             ")\n",
-            "epoch 0: train loss 1.071067, test loss 0.963045\n",
+            "epoch 0: train loss 0.862380, test loss 0.871121\n",
             "plot curves\n",
             "7\n",
             "7\n",
@@ -2462,15 +2368,15 @@
             "  )\n",
             "  (predict): Linear(in_features=229, out_features=1, bias=True)\n",
             ")\n",
-            "epoch 0: train loss 1.008250, test loss 1.001437\n",
+            "epoch 0: train loss 0.998901, test loss 0.993529\n",
             "plot curves\n",
-            "0:00:06.980756\n"
+            "0:00:06.117407\n"
           ]
         },
         {
           "output_type": "display_data",
           "data": {
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             "text/plain": [
               "<Figure size 432x288 with 1 Axes>"
             ]
@@ -2480,7 +2386,7 @@
         {
           "output_type": "display_data",
           "data": {
-            "image/png": 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\n",
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\n",
             "text/plain": [
               "<Figure size 432x288 with 1 Axes>"
             ]
@@ -2490,7 +2396,7 @@
         {
           "output_type": "display_data",
           "data": {
-            "image/png": 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\n",
             "text/plain": [
               "<Figure size 432x288 with 1 Axes>"
             ]
@@ -2500,7 +2406,7 @@
         {
           "output_type": "display_data",
           "data": {
-            "image/png": 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\n",
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YGHkNBgcHB+X7vioqKhSGoZ5++mlddtll466trKwct8UYS6dVFfNnKQydCYIgM0nYdzTkpRXkeZpwz1CvWpIn1TJcFdiZ6s5ZUxkrz54R2JxoVCJek4edAgAAAACwOBYtGLz//vv1ve99Tx0dHXrPe96j6upqPfzww/rgBz8o3/cVBIE2bdqke+65Z7G2BMzK6BbeeKREoUKlvPSiVmsW6tCZ0WcGpj03r5WBA86gXhkOAo8nW9U+0JGzJm6XaHNtg5oTTdqyolF1ZStkGEYedgsAAAAAwOJbtGDw7rvv1t13351z/fHHH1+sLQBzNrqF15ShM72ZATgrSmsWvJ13tEIaOlMoA0SGvLROdJ7KVgSe7T2fs5OoZWtT7UY1Jxq1JdGkNZWrZBpmXvYLAAAAAEC+5f2MQWApGd3Cm+y7INMwFErqcfq0pmLVorXz5nvojOO7crxMm7Dju3kJA13f1cnuM5mKwI4TOt1zVkE4dh+WaampZr2aE43aXNuojdVrZZnWou+1UBjD/9c2+Vc/AAAAAIBgEJiR0S28XuBlqs3CzN+lxWvnXeyhM0EYyPVcpYPMABEvCBY9DPQDX6/2nMtWBLZ2vSp3+Oc+wjQMra9aqy2JRm1ONKixZoOilr2o+ywUhgwZRiYEtK2IIkZEEdNSxIrIL3XyvT0AAAAAQAEgGARmYHQLb8SMyA98hZIiwxVYi9nOu9BDZ7zAl+M5cnwnL5OEgzBQW197Ngh8pfOk0l5uoLWmYtVwa3Cjmmo3qtQuWdR9FgJDhizTlG1GFMl+WYqYEc5MBAAAAABMqCiCwU8c+ow2rt+waIMfsHyNbuGtilWoY7BLklQVrVDaSy9qO+98C8Mw0yI8PEnY9b1FrQoMw1CvDSSzQWBL50kNOIM561bGa9W8oilTFVjboPJY2aLtMd8MGTINI1MBaEZkGZnwzzYjMk3OSgQAAAAAzExRBIPxSOmiDn7A8nVpC++6ytXZqcTVpVUFF06PnqA8XruxH/hyRrUIB2GwqA3CXamebBB4PHlCPUN9OWuqSyrVnGjMftWUVi3iDvPDGD4N0B5u/Y2Yw63AVqYSEAAAAACA+VAUwaBhKDOddYLBD1OFI8BMPiML3cI7X0ZPUC634+od6tNXf/aEDBnaVNsgJw+DQ/rS/WpJnsyGgR2DnTlryqNxbR5uDW5ONGpFvLZo22GzAaB1sfU3UwVIGzAAAAAAYOEVRTA4YrzBD5eGI1QW4lLF+hk5cOyg4pESlUXjsq2ITJnqdfr0+MvP6r2/untR9pByh/TLzpM6nmxVS0er2vrbc9aURGLaXNugzYkGbUk0qb6irugCsYvTgC1FLDsT/BkRWaZJAAgAAAAAyJuiCgbHG/xw4NhB2aaVqSjU5JWFWJ6K8TPiB778wFdFrEyu72rQTWUm+IahkqmeBXuu4ztq7Xw1EwQmW/Vqz7mcikTbjKipdkO2NXhdZb2sImqPzYaAVkRRMyJreBiIbUUyU6wBAAAAACgQRREMhqEmHPzQPpBUuR0fc228ykIsX8XyGQmCQENeWkN+WmnPURAGujDQoagVza5xAleJ0up5e6YXeDrdfTYbBJ7selV+OHZ6sWmYaqhelw0CG6rXKWIVxb96JGXagSOmKduKyjYyAWCEEBAAAAAAsAQUxW/ng15KG0tXjnsuXF1ZQt2pnmw1mDR+ZeFonEm4vMzmM1IogjBQ2ssMDkl56THVeW9t/DV988WnJTmKmracwJUXBNrRdM2493qpvUWHTjyvZKpbidJq7Wi6RpfXNec870xPW/aMwBNdp+X4bs69VsRr9Z9Wb1VzolFNNRvG/GyXsotTgW3ZZkS2acu2IkVV8QgAAAAAWD6KIhi8b8eH9ZrVrQPHDuofDj82JszbtXWn9h3eL3lpRa2oHN8Zt7JwRLGeN4eJzfQzslgmCqjDMFTavxgGBpdU6I24vK5ZN+uGKcM+KRMKfvPFpxUxTZVFStSb7tM3X3xa7wzfodp4dTYIfCV5UilvKOf1pmEqZkUVj5TIMA0FYajNtY26bGXus5aKbCWgaWemARvDA0KKqNoRAAAAALC8FcVvuC+2H9eT5/51wjBvz3ZNuwKwGM+bw+Rm+hlZDKMD6gq7TEPukL559LvyA18bqtfKC/xp3efyuuZxg8BLHTrxvCKmqagVlRd4cn1Pg25K//snj+W0BktSorQ60xq8okn/dvJHGnRTY1uWfUeHTjw/rWfnmzH8j21ZskefCWhGZJq0AwMAAAAAildRBIP/8st/k102cZg38jUdxXLeHGZmJp+RxfDksX9RRTSu8miZLNPSkOeoN92nb7/0jP7kzb8/r8/qGerVub52SaHSXrf8MDd0rIyVZ88IbE40KhGvyX7vqV88p7JIyZj1UdNWMtU9r/ucq5GhICOTgG3TUsQcnhDMZGAAAAAAwDJUFMFgMtWtlZUrx1ybbZi3lM+bw9IXhqEc35UXeIpZMfU7g3J8J3NyYBjOS9g24AzqleRJtSRbdTzZqvaBjpw1pmHINm1VxMr1R1f9nurKVkwYnCVKq9Wb7lvQISczZchQS/KEfvjqT9TvDCpRWq23Nr5Z/2nV5VQBAgAAAAAwrCiCwURptRzfmZcwr1DPm0Px8nxPju/K8R2l/cw0YS/w1ZvunpewbchL60Tnqew5gWd7z48aUZJhm5l/FcQiUcUjpQoVyg9D/dfL36FV5StzbzrKjqZrZjTkZL4Zw1WAthmRbdmKGBH9ouMVPfWLQzIUyjRMneo+o384vF97tt9SUJWhAAAAAADkU1EEg7+x6Vo9ee5f5yXMK8Tz5lB8HM9R2k8r7WU+q+ElUd1cwjbXd3Wy+0ymIrDjhE73nFUQjr1/xLTUWLNezYlGba5t1MbqtfpFx4lpDSq51EyGnMzFSCuwPTwAJDLqLMBLpwI/fux7cof/nwWhOCsUAAAAAIDxFEUw+Pq6Laqrr5u3MK/QzpvD0jfSIuz4aQ15aXmBn1O1N9pMwjY/8PVqzzkdH64IbO06nTOcxDQMra9aqy3DZwQ21KxX1LJznjnbMG8urx3tpfYWfb/1h+pJ96uuLKEdTW/RtrrXzXggCGeFAgAAAAAwtaIIBiXCPBSeIAiUHm4PTntpBWEwaRh4qYnCtiAM1NbXnq0I/GXXKaU9J2fdmopVak40akuiUZtqN6rELslZk2/GcB2gbUX0y85T+rdT/66IaakuXquUk9K3XnxGcTuuK+pfP6P7clYoAAAAAABTK5pgECgEru/K8VylA0dpz8lpEZ6NMAz12kAyWxH4SrJVA24qZ93KsoSaaxu0ZUWTNicaVB4tm/Oz55MhY3ioSUS2FcmZCPzwv/+Teod6x4R5QejriWPfm3EwyFmhAAAAAABMrSiCwf/1w3267f97JxWDWHRhGCrtO3K8tIZ8R34QzEsY2JXqzgaBLclW9Qz15aypLqlU83Br8JZEo6pLq+b83PliSDJkKmplBoLYIyGgNfG/ctr62+et/ZezQgEAAAAAmFpRBIO96T7tO7xfe7Zryl/8j7QdJSzAnIRhmB0eMuSl5YXBnO/Zl+5XS/JkNgjsGOzMWVMejWeGhQwHgSvitTIMY87PnqvsUBArcwbgyFCQqGXPaH/z3f7L8QIAAAAAAEyuKILB7qFemYMpfe6H/1t/+pY/mDAMONJ2VPsO75dtWiq34+pO9Uw7UMTyNvq8wKHh8wLnIuUO6ZedJ7NVgW197TlrSiIxba5tyFQErmjU6vK6vAeBhgwZhqGoGclMBjYi2UpA05h6KMhkaP8FAAAAAGBxFUUw6AeBIoapIS89adB34NhB2aaVrUiKRWKSl9aBYwcJBpHDC/xsZWDacxVo9mHgz9pe1rOv/B8lU93S8ITiS1uObTOiptoNak40qTnRoHWV9bJMa65vY9ayZwJmKwHtzJ+TtAPPBe2/AAAAAAAsrqIIBg3DUCgNn2VmTRj0tQ8k5+0MMxSfIAzkeq6c4cEhbuDP+rxAL/B0qvusWpKt+lnbS2rrz60INAxDjdXrsxWBG6vWLVjoNhVDhizTVMSMyDat7GAQ27IXdR+0/wIAAAAAsHiKIhgMwlBSqKpYxaRB33yfYbacLZWzGqfap+M5cnxXju8oPU4V33QFYaAzPW3ZMwJPdJ2W47s562zTViwSlWWYSsRr9Kdv+YNZv7fZGO88QMu0ZA//OV+OtB3VV3/2uM71XZAk1VfUafcbbyrIzwgAAAAAAMtVUQSDEdNUorRGZdG40l56wqCPM8zmx2RnNUqF0wo6ep8VdplSTkpf//lTUig11W5Q2nfkB/6sosAwDHW+/7VsEPhK8qRS3lDOutXlK9WV6lG5HVfMjl08hy8M1TXUO7c3OIWREHBkMvB8ngc4mSNtR/XQv/+j+tIDmT0Y0tneC/rCj76iD7zpdsJBAAAAAAAKRFEEg67vqSfdJ9d3FbHsCYM+zjCbHxOd1fjVnz2ulJcumOEu3/nFIVVGy1QWi8syLKU9V/1Ov7710nf1gTfdPqN7hWGoZKorEwR2ZMLAPmcgZ10iXqPm2gY1r8icE1gZq9CDL3xZvem+MWGcE7hKlFbP+T2OMIb/sS0rex7gYoSA4zlw7KAG3ZRMw5Ax/OxAgVLeEOd5AgAAAABQQIoiGIyYllzfVV/g66bLr580eOAMs7mb6KzGM71tqitL5H24ix/4cjxXKXdIlmmpd6hfbuBlvhmGem2wc1r36RnqU0uyVceTJ9SSbFVXqidnTWWsXM2JxuxXIl6Ts2ZH0zX65otPS3IUNW05gSsvCLSj6ZpZvb+coSCGLWs4EMz31GIp8/nwA39Ma7IhQ0EQcJ4nAAAAAAAFpCiCwVXlK1VWXaG0l9aL7cd18+t/M99bKmoTndUoZQLC0RZjuEsYhnJ9V2nflTvqrMBQmXbd0XuarFJvwBnUK50nM2FgR6vaBzpy1sTtEm2ubVRzIlMVuKpsxZRh3OV1zbpZN+jQieeVTHUrUVqtHU3X6PK65inf28hQkKhpK2JFxrQDF6q6soR6hnoVhmH2ZxMqlGmanOcJAAAAAEABmXa68MILL2jt2rVav3692tvb9ZnPfEamaerOO+/UypUrF3KPU3q155xKrLgqoxVyRirDsGAmOquxvqJOju8synAXz/cyQ0MCV2kvrSAMcs4KnKpSb8hL60TnabUMVwSe7T2fc4+YFdWm2o3anGhQc6JRaytXz6o19/K65imDwIuVgLZsMyJ7JAycx6Egi2HX1p0XzxgMfcmQwlAqtUs5zxMAAAAAgAIy7WDw3nvv1b59+yRJe/fulSTFYjH9+Z//uR5++OGF2d0MBGGo7nSvqlSR760UvYnOapS0YMNd/MCXk60IdOQFwZQThC+t1KspqdRlK5vV2nVa33vl+zrdc05BGIx5TcS01FizPtsavKFq7bxO6x3NkKGIaSpqRWWbdqY12LIX5FmL6cr6bXr/1e8eM5V4TeXSnUq8VCZwAwAAAAAwU9MOBi9cuKA1a9bI8zz94Ac/0KFDh2Tbtq699tqF3N+M9aT79JFn7tdtb/wdfnmfwlwCj4nOapyv4S5BGIwKAl25vjdlEHgpP/AVt0u0ZUWTWpKtau06rRNdp8esMQ1D66vWaEuiSc2JRjXUrFd0AcI5Q5Ihc3hCcES2GV2S1YDTVSxneU42gbsY3h8AAAAAYHmbdjBYXl6ujo4OtbS0aNOmTSorK5PjOPK8wmvdbetv55f3KSxU4DHbQOhiEOhmzwucaRAYhIHO9V3ITg3+ZdcppT0nZ92ailVqTjRqy4ombarZoBK7ZMb7fam9ZdIzA0eqAW0rKtuIZKsBC2E4CKZvogncTFcGAAAAABSDaQeD73rXu3TzzTfLdV197GMfkyT95Cc/UVNT04JtbraCMJBtWvzyPol8Bx5BEMgJ5hYEhmGo9oGkWpKZIPCVZKsG3FTOupVliUwQmGjU5kSDyqNlc9r7S+0t+uaLTytimqqw43J8R8+2fF/l0bi2rXqdImZEUdOWac78LEIUlokmcDNdGQAAAABQDKYdDL73ve/Vzp07ZVmWNmzYIElatWqV7r///gXb3GxFzEjR/vI+nfbf6ayZTuAxn2erBUEwPCzEGa4MnHlrsCR1pbp1fLQYI5cAACAASURBVDgIbEm2qmeoL2dNdUmltiSatDnRoC2JRlWXVs1qz+MxJP3w9GGtiFerzC6TYWQGoQy6KT134gd68/pfmbdnFYOlfj7fRBO4ma4MAAAAACgG0w4GJamxsTH79xdeeEGmaerqq6+e903NVXVJZVH+8j6d9t/ptghPFXjMtdXYD3y5vic3mH1FoCT1pfvVkjyZDQI7Bjtz1pRH42pONGrzcFXginjtvLXsGpJMw1TUsoenBdvqc/oVs6Lqc/oUhJn3FIahzvW1z8szi0UxnM830QRupisDAAAAAIrBjFqJP/ShD2n79u364he/qC9/+cuyLEu7d+/W+973voXc44zYZkSWYRblL+/Taf+dbovwVIHHTFuNxwwL8TL3mk0QOOimdKLzVKYqsKNVbf25YVtJJKZNtRuHB4Y0aHVFnUxjftp2DRmyzOEg0BwJAyNjgsayaLzoqsgWorIv3+3q82GiCdxLZf8AAAAAAExm2sFgS0uLrrjiCknSN77xDX3lK19RWVmZfu/3fi/vwWAsElWZHVfadxW3S1RdWlWUv7xPp/13umeiTRV4THWfMAwzrcG+qxcvHNPBEz/Q+f4OVcXKcwZxTMbxHbV2vjrcHnxCr/a05QSKthlRU+0GNSca1Zxo1LrKelnzNM3XkDFcDRjJBIFmRBFr8v9ZFFsV2UJV9hXL+XzFMmEZAAAAAIBLTTsYDIJAhmHo9OnTCsNQmzdvliT19PRM+dq9e/fq2Wef1dmzZ/Xkk09qy5YtkqTW1lZ99KMfVXd3t6qrq7V37141NDTM+E2URcu0sWZdUYaBo03nvLOZnIk2WeAxcp+SSEwRy1bEsBSEgVZX1Kkr1a205ypQMGYQR8y01Zvu0zdffFo364Zxw0Ev8HSq+2y2Nfhk16vyw2DMGsswtbF63fDk4EZtrFo3ZVg3HYYMmYYxpi3YtiIzrjYstiqyhars43w+AAAAAAAK27TTlu3bt+u+++7Ta6+9pp07M5VRp0+fVk1NzZSvve6663T77bdr9+7dY67fc889uu2223TjjTfqiSee0Cc+8Ql95StfmeFbkO7b8WGtW7duxq9baqZTqTZf1Ww3XfZ2fePo08NttNKAM6hBL61rG96klJfOrjt04nlFTFNRKypJw386OnTieV1e16wgDHSmp00tyVYdT7aqteu0HN8d8yxD0rrKejWvaFJzolFNNRsUi0Rn/XO6eN9MEBizopkg0LIVtew531cqriqyharsK7bKSgAAAAAAis20g8G/+qu/0pe+9CXV1tZqz549kqQTJ07o9ttvn/K1V111Vc61ZDKpl156SV/60pckSb/1W7+lT37yk+rs7FRtbe10t7WsTKdSbTbVbGEYygs8eYEvL/Dk+q5Wlq3Q25reon/55Q+UTHUrUVqtXVt35lQBJlPdKouUjLmXEUpn+y7oHw5/Tb9MnlLKG8p55uryldnW4M2JBsXt0jn/fAwZipimbCsq24zMaxBYzBaqsq/YKisBAAAAACg20w4Ga2pqdOedd4659ta3vnXWD25ra9OqVatkWZmz4izLUl1dndra2sYNBnt7e9Xb2zvm2vnz52f9/EI22SCI6VSqTbZm5GxAL/DkB57cwMsMCgnDnLP9tq7crK0rN+fc46X2Fh068bySqW6lnEF5niPLspX20kr7joLh1uCjF36RfU0iXpMNApsTDaqMVczoZzIeQ4Zs0xoeFBKVHbEVmaezB5eThazsK6bKSgAAAAAAis20g0HXdfXQQw/piSeeUHt7u+rq6nTjjTfqfe97n6LRubd9TuWRRx7Rgw8+uODPybf5HgQRhqFc35Xre3ICRz+/cEzP/fJ5XRhIqra0akaDQqRMKPj1o08pCH15vq+072rId6Sx3cGK26W6bOXmbBiYiE/dcj6VMUHgcHswQeDcUdkHAAAAAMDyNO1g8NOf/rT+4z/+Q/fee6/WrFmjc+fO6Qtf+IL6+/v1sY99bMYPrq+v14ULF+T7vizLku/7am9vV319/bjr77jjDt10001jrp0/f167d+/Wf3/6L9SwYaN2v/GmgggzJqv4m8p8DIJwfFeu58oN3GwFXyiNGRQSj8SmHBQyYsAZ1CvJk2pJtupHZ34qN3DHXWebtqpKKvS2xl/Tr23YLsMwprXfiYy0BmfOCMwNAufyc8ZYk1X28XMGAAAAAKA4TTsYfOaZZ/TEE09kh400NTXp8ssv14033jirYDCRSOiyyy7TU089pRtvvFFPPfWULrvssgnPF6ysrFRlZeW43wsV6mzvBX3hR1/RB950+6xDi/kIQOZa8TfTQRCjKwIvDQIvNdWgkBFDXlonOk9lJwef7T2fcz9DhmKRqGJW5ssJPP3Fjg9N+f4mY8iQNRwERqdoDZ7vysqZWE5BWT5/zgAAAAAAYGFNOxgMw/Gipomvj3b//ffre9/7njo6OvSe97xH1dXV+s53vqO/+Iu/0Ec/+lF94QtfUGVlpfbu3Tv9nY9iGqYMw1DKG5pRZd1o8xWAzLXib6JBEKvLV0pSZkCI78kNnEx7sO8p1PhB4KUuHRQiSVHTVsdgVzYEbEm26lT32ew5gSMipqWG6vXqTHUrDAPF7Xi2ItDxHa2YRavw6CDQNm3ZVmZgyHTMR2XlbCy3oCxfP2cAAAAAALDwph0MXn/99Xr/+9+vP/7jP9aaNWt09uxZPfTQQ7r++uunfO3dd9+tu+++O+f6pk2b9I1vfGNmOx6H67sygohMw5ywsm4q8xWAzLTi71K7tu7Ul37yDYVhqNJIiUKFilpRvX3zr+u1gQ55QZAzJGS6EqXV6k33yTZtOb6rtJ9Wyh2SF3j6/I8eGbPWNAytr1qjLYkmNSca1VCzXlHLzrYju4GrqGnLCVx5QaAdTddMaw+GDMUsWzErppbOVj3zyvfV1ndBtcNTj6f7s57rz3m2lltQlq+fMwAAAAAAWHjTDgY/8pGP6KGHHtJ9992n9vZ2rVq1SjfccIM+8IEPLOT+pilTuRaEgUpHVdrNxHwFIBNV/NWVJaZ8rRf42rpis26/4r/quRPP60J/UhXRMv16w9VaV1UvN/BntJcRQRjoXN8FrYjX6lT3WXmBN264uKZilZoTjdqyokmbajaoxC7JWXN5XbNu1g3ZqcSJ0upJB5gYylR0xiIxxcyoohFblmmNqbwrsWIzrryby895Nkbah19+7RVFLVtVsQqVRTOfl2IOyhb75wwAAAAAABbPpMHgD3/4wzH/+eqrr9bVV1895trhw4f1lre8Zf53NiOZkMsY/mc25isA2bV1p/Yd3i95aUWtqBzfkRv42rV155h1mXZgT97wlxt48oerAddUrta7r3jnrN6HlGnvbh9IZluDX0m2asBN5ayzzYiaE426et0V2pxoUHm0bFr3v7yuedJhJaZhKmbZmXMCh9uDLx1EMpvKu9Fn+5VGYtn3NNnPeT6MDjFtMyLX95RMdUmSyqLxog7Kpvt5BgAAAAAAS8+kweDHP/7xca+PhDxhGMowDD333HPzv7MZss2IakurNegNzer18xWAXFm/TXu2Kxtgramo02+/bqe2rtysgfSg3MCV4zvyw3DWLcHj6Ur16HjyRDYM7Bnqy1lTXVKp5kRjpiow0ajq0qp5eXZ2enAkpujwMJKpJhLPtELz0rP9HN9RGIaKmBH1u4MLOgRkdIhZU1qljsEuhWGonnSfIqZV1EHZpZ/nYh+2AgAAAADAcjJpMHjo0KHF2secrK9ao7KqCqW99KzDrvkMQN646nJdtrI5Uw3oe0r7jpKDnfMYA0p96X61JE9mg8COwc6cNeXReDYIbE40akW8dsrAbjqy7cFWVFErqqhlK2JNuytd0swrNMetMJRUHivTbW/8HR0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\n",
             "text/plain": [
               "<Figure size 432x288 with 1 Axes>"
             ]
@@ -2510,7 +2416,7 @@
         {
           "output_type": "display_data",
           "data": {
-            "image/png": 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\n",
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\n",
             "text/plain": [
               "<Figure size 432x288 with 1 Axes>"
             ]
@@ -2535,7 +2441,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "wzwdbWHGI9gQ",
-        "outputId": "d11d5fd5-6577-478d-ec40-cb9383ba41eb"
+        "outputId": "5a3b191d-7a35-4d8e-adc6-19d7b01536ee"
       },
       "source": [
         "import os\n",
@@ -2649,7 +2555,7 @@
         "endtime = datetime.datetime.now()\n",
         "print ('running time {}'.format(endtime - starttime))"
       ],
-      "execution_count": null,
+      "execution_count": 38,
       "outputs": [
         {
           "output_type": "stream",
@@ -2657,19 +2563,19 @@
           "text": [
             "|   iter    |  target   | colsam... | learni... |  max_bin  | max_depth | min_ch... | min_ch... | min_sp... | n_esti... | num_le... | reg_alpha | reg_la... | subsample |\n",
             "-------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
-            "| \u001b[0m 1       \u001b[0m | \u001b[0m-0.294   \u001b[0m | \u001b[0m 0.7085  \u001b[0m | \u001b[0m 0.7206  \u001b[0m | \u001b[0m 5.011   \u001b[0m | \u001b[0m 18.84   \u001b[0m | \u001b[0m 8.191   \u001b[0m | \u001b[0m 2.77    \u001b[0m | \u001b[0m 0.01944 \u001b[0m | \u001b[0m 72.38   \u001b[0m | \u001b[0m 26.82   \u001b[0m | \u001b[0m 0.5434  \u001b[0m | \u001b[0m 0.425   \u001b[0m | \u001b[0m 1.402   \u001b[0m |\n",
-            "| \u001b[0m 2       \u001b[0m | \u001b[0m-0.5621  \u001b[0m | \u001b[0m 0.6022  \u001b[0m | \u001b[0m 0.8782  \u001b[0m | \u001b[0m 7.602   \u001b[0m | \u001b[0m 40.56   \u001b[0m | \u001b[0m 21.45   \u001b[0m | \u001b[0m 16.76   \u001b[0m | \u001b[0m 0.0149  \u001b[0m | \u001b[0m 43.63   \u001b[0m | \u001b[0m 49.04   \u001b[0m | \u001b[0m 0.9686  \u001b[0m | \u001b[0m 0.3203  \u001b[0m | \u001b[0m 1.415   \u001b[0m |\n",
-            "| \u001b[95m 3       \u001b[0m | \u001b[95m-0.2718  \u001b[0m | \u001b[95m 0.9382  \u001b[0m | \u001b[95m 0.8947  \u001b[0m | \u001b[95m 13.08   \u001b[0m | \u001b[95m 3.304   \u001b[0m | \u001b[95m 9.322   \u001b[0m | \u001b[95m 26.34   \u001b[0m | \u001b[95m 0.01074 \u001b[0m | \u001b[95m 87.12   \u001b[0m | \u001b[95m 57.68   \u001b[0m | \u001b[95m 0.5378  \u001b[0m | \u001b[95m 0.695   \u001b[0m | \u001b[95m 0.6995  \u001b[0m |\n",
-            "| \u001b[0m 4       \u001b[0m | \u001b[0m-0.3307  \u001b[0m | \u001b[0m 0.8433  \u001b[0m | \u001b[0m 0.8348  \u001b[0m | \u001b[0m 6.737   \u001b[0m | \u001b[0m 45.26   \u001b[0m | \u001b[0m 49.45   \u001b[0m | \u001b[0m 22.44   \u001b[0m | \u001b[0m 0.02876 \u001b[0m | \u001b[0m 158.9   \u001b[0m | \u001b[0m 10.68   \u001b[0m | \u001b[0m 0.4534  \u001b[0m | \u001b[0m 0.9095  \u001b[0m | \u001b[0m 0.6579  \u001b[0m |\n",
-            "| \u001b[0m 5       \u001b[0m | \u001b[0m-0.5333  \u001b[0m | \u001b[0m 0.6439  \u001b[0m | \u001b[0m 0.1309  \u001b[0m | \u001b[0m 6.84    \u001b[0m | \u001b[0m 41.05   \u001b[0m | \u001b[0m 11.37   \u001b[0m | \u001b[0m 7.966   \u001b[0m | \u001b[0m 0.04967 \u001b[0m | \u001b[0m 15.41   \u001b[0m | \u001b[0m 36.58   \u001b[0m | \u001b[0m 0.1553  \u001b[0m | \u001b[0m 0.5934  \u001b[0m | \u001b[0m 1.43    \u001b[0m |\n",
-            "| \u001b[95m 6       \u001b[0m | \u001b[95m-0.1948  \u001b[0m | \u001b[95m 0.5512  \u001b[0m | \u001b[95m 0.4146  \u001b[0m | \u001b[95m 70.97   \u001b[0m | \u001b[95m 25.44   \u001b[0m | \u001b[95m 3.448   \u001b[0m | \u001b[95m 16.08   \u001b[0m | \u001b[95m 0.06672 \u001b[0m | \u001b[95m 105.4   \u001b[0m | \u001b[95m 56.95   \u001b[0m | \u001b[95m 0.5907  \u001b[0m | \u001b[95m 0.9044  \u001b[0m | \u001b[95m 0.3612  \u001b[0m |\n",
-            "| \u001b[0m 7       \u001b[0m | \u001b[0m-0.278   \u001b[0m | \u001b[0m 0.5696  \u001b[0m | \u001b[0m 0.8076  \u001b[0m | \u001b[0m 42.78   \u001b[0m | \u001b[0m 10.76   \u001b[0m | \u001b[0m 46.45   \u001b[0m | \u001b[0m 10.43   \u001b[0m | \u001b[0m 0.07533 \u001b[0m | \u001b[0m 146.6   \u001b[0m | \u001b[0m 53.58   \u001b[0m | \u001b[0m 0.6274  \u001b[0m | \u001b[0m 0.7534  \u001b[0m | \u001b[0m 0.7629  \u001b[0m |\n",
-            "| \u001b[0m 8       \u001b[0m | \u001b[0m-0.2663  \u001b[0m | \u001b[0m 0.635   \u001b[0m | \u001b[0m 0.896   \u001b[0m | \u001b[0m 45.67   \u001b[0m | \u001b[0m 57.93   \u001b[0m | \u001b[0m 33.51   \u001b[0m | \u001b[0m 18.65   \u001b[0m | \u001b[0m 0.01236 \u001b[0m | \u001b[0m 190.2   \u001b[0m | \u001b[0m 29.75   \u001b[0m | \u001b[0m 0.5826  \u001b[0m | \u001b[0m 0.4141  \u001b[0m | \u001b[0m 0.5504  \u001b[0m |\n",
-            "| \u001b[0m 9       \u001b[0m | \u001b[0m-0.292   \u001b[0m | \u001b[0m 0.9517  \u001b[0m | \u001b[0m 0.5741  \u001b[0m | \u001b[0m 5.273   \u001b[0m | \u001b[0m 37.41   \u001b[0m | \u001b[0m 17.01   \u001b[0m | \u001b[0m 15.81   \u001b[0m | \u001b[0m 0.08871 \u001b[0m | \u001b[0m 74.67   \u001b[0m | \u001b[0m 54.97   \u001b[0m | \u001b[0m 0.6271  \u001b[0m | \u001b[0m 0.02566 \u001b[0m | \u001b[0m 1.866   \u001b[0m |\n",
-            "| \u001b[0m 10      \u001b[0m | \u001b[0m-0.2683  \u001b[0m | \u001b[0m 0.8454  \u001b[0m | \u001b[0m 0.9973  \u001b[0m | \u001b[0m 21.37   \u001b[0m | \u001b[0m 9.091   \u001b[0m | \u001b[0m 46.7    \u001b[0m | \u001b[0m 20.9    \u001b[0m | \u001b[0m 0.007534\u001b[0m | \u001b[0m 152.3   \u001b[0m | \u001b[0m 46.46   \u001b[0m | \u001b[0m 0.9238  \u001b[0m | \u001b[0m 0.7144  \u001b[0m | \u001b[0m 0.3361  \u001b[0m |\n",
-            "| \u001b[0m 11      \u001b[0m | \u001b[0m-1.377   \u001b[0m | \u001b[0m 1.0     \u001b[0m | \u001b[0m 0.001   \u001b[0m | \u001b[0m 5.0     \u001b[0m | \u001b[0m 1.0     \u001b[0m | \u001b[0m 1.0     \u001b[0m | \u001b[0m 0.0001  \u001b[0m | \u001b[0m 0.1     \u001b[0m | \u001b[0m 200.0   \u001b[0m | \u001b[0m 60.0    \u001b[0m | \u001b[0m 0.01    \u001b[0m | \u001b[0m 0.01    \u001b[0m | \u001b[0m 2.0     \u001b[0m |\n",
+            "| \u001b[0m 1       \u001b[0m | \u001b[0m-0.3647  \u001b[0m | \u001b[0m 0.7085  \u001b[0m | \u001b[0m 0.7206  \u001b[0m | \u001b[0m 5.011   \u001b[0m | \u001b[0m 18.84   \u001b[0m | \u001b[0m 8.191   \u001b[0m | \u001b[0m 2.77    \u001b[0m | \u001b[0m 0.01944 \u001b[0m | \u001b[0m 72.38   \u001b[0m | \u001b[0m 26.82   \u001b[0m | \u001b[0m 0.5434  \u001b[0m | \u001b[0m 0.425   \u001b[0m | \u001b[0m 1.402   \u001b[0m |\n",
+            "| \u001b[0m 2       \u001b[0m | \u001b[0m-0.4054  \u001b[0m | \u001b[0m 0.6022  \u001b[0m | \u001b[0m 0.8782  \u001b[0m | \u001b[0m 7.602   \u001b[0m | \u001b[0m 40.56   \u001b[0m | \u001b[0m 21.45   \u001b[0m | \u001b[0m 16.76   \u001b[0m | \u001b[0m 0.0149  \u001b[0m | \u001b[0m 43.63   \u001b[0m | \u001b[0m 49.04   \u001b[0m | \u001b[0m 0.9686  \u001b[0m | \u001b[0m 0.3203  \u001b[0m | \u001b[0m 1.415   \u001b[0m |\n",
+            "| \u001b[0m 3       \u001b[0m | \u001b[0m-0.3692  \u001b[0m | \u001b[0m 0.9382  \u001b[0m | \u001b[0m 0.8947  \u001b[0m | \u001b[0m 13.08   \u001b[0m | \u001b[0m 3.304   \u001b[0m | \u001b[0m 9.322   \u001b[0m | \u001b[0m 26.34   \u001b[0m | \u001b[0m 0.01074 \u001b[0m | \u001b[0m 87.12   \u001b[0m | \u001b[0m 57.68   \u001b[0m | \u001b[0m 0.5378  \u001b[0m | \u001b[0m 0.695   \u001b[0m | \u001b[0m 0.6995  \u001b[0m |\n",
+            "| \u001b[0m 4       \u001b[0m | \u001b[0m-0.4082  \u001b[0m | \u001b[0m 0.8433  \u001b[0m | \u001b[0m 0.8348  \u001b[0m | \u001b[0m 6.737   \u001b[0m | \u001b[0m 45.26   \u001b[0m | \u001b[0m 49.45   \u001b[0m | \u001b[0m 22.44   \u001b[0m | \u001b[0m 0.02876 \u001b[0m | \u001b[0m 158.9   \u001b[0m | \u001b[0m 10.68   \u001b[0m | \u001b[0m 0.4534  \u001b[0m | \u001b[0m 0.9095  \u001b[0m | \u001b[0m 0.6579  \u001b[0m |\n",
+            "| \u001b[0m 5       \u001b[0m | \u001b[0m-0.677   \u001b[0m | \u001b[0m 0.6439  \u001b[0m | \u001b[0m 0.1309  \u001b[0m | \u001b[0m 6.84    \u001b[0m | \u001b[0m 41.05   \u001b[0m | \u001b[0m 11.37   \u001b[0m | \u001b[0m 7.966   \u001b[0m | \u001b[0m 0.04967 \u001b[0m | \u001b[0m 15.41   \u001b[0m | \u001b[0m 36.58   \u001b[0m | \u001b[0m 0.1553  \u001b[0m | \u001b[0m 0.5934  \u001b[0m | \u001b[0m 1.43    \u001b[0m |\n",
+            "| \u001b[0m 6       \u001b[0m | \u001b[0m-0.4456  \u001b[0m | \u001b[0m 0.5512  \u001b[0m | \u001b[0m 0.4146  \u001b[0m | \u001b[0m 70.97   \u001b[0m | \u001b[0m 25.44   \u001b[0m | \u001b[0m 3.448   \u001b[0m | \u001b[0m 16.08   \u001b[0m | \u001b[0m 0.06672 \u001b[0m | \u001b[0m 105.4   \u001b[0m | \u001b[0m 56.95   \u001b[0m | \u001b[0m 0.5907  \u001b[0m | \u001b[0m 0.9044  \u001b[0m | \u001b[0m 0.3612  \u001b[0m |\n",
+            "| \u001b[0m 7       \u001b[0m | \u001b[0m-0.565   \u001b[0m | \u001b[0m 0.5696  \u001b[0m | \u001b[0m 0.8076  \u001b[0m | \u001b[0m 42.78   \u001b[0m | \u001b[0m 10.76   \u001b[0m | \u001b[0m 46.45   \u001b[0m | \u001b[0m 10.43   \u001b[0m | \u001b[0m 0.07533 \u001b[0m | \u001b[0m 146.6   \u001b[0m | \u001b[0m 53.58   \u001b[0m | \u001b[0m 0.6274  \u001b[0m | \u001b[0m 0.7534  \u001b[0m | \u001b[0m 0.7629  \u001b[0m |\n",
+            "| \u001b[0m 8       \u001b[0m | \u001b[0m-0.5732  \u001b[0m | \u001b[0m 0.635   \u001b[0m | \u001b[0m 0.896   \u001b[0m | \u001b[0m 45.67   \u001b[0m | \u001b[0m 57.93   \u001b[0m | \u001b[0m 33.51   \u001b[0m | \u001b[0m 18.65   \u001b[0m | \u001b[0m 0.01236 \u001b[0m | \u001b[0m 190.2   \u001b[0m | \u001b[0m 29.75   \u001b[0m | \u001b[0m 0.5826  \u001b[0m | \u001b[0m 0.4141  \u001b[0m | \u001b[0m 0.5504  \u001b[0m |\n",
+            "| \u001b[0m 9       \u001b[0m | \u001b[0m-0.4179  \u001b[0m | \u001b[0m 0.9517  \u001b[0m | \u001b[0m 0.5741  \u001b[0m | \u001b[0m 5.273   \u001b[0m | \u001b[0m 37.41   \u001b[0m | \u001b[0m 17.01   \u001b[0m | \u001b[0m 15.81   \u001b[0m | \u001b[0m 0.08871 \u001b[0m | \u001b[0m 74.67   \u001b[0m | \u001b[0m 54.97   \u001b[0m | \u001b[0m 0.6271  \u001b[0m | \u001b[0m 0.02566 \u001b[0m | \u001b[0m 1.866   \u001b[0m |\n",
+            "| \u001b[0m 10      \u001b[0m | \u001b[0m-0.551   \u001b[0m | \u001b[0m 0.8454  \u001b[0m | \u001b[0m 0.9973  \u001b[0m | \u001b[0m 21.37   \u001b[0m | \u001b[0m 9.091   \u001b[0m | \u001b[0m 46.7    \u001b[0m | \u001b[0m 20.9    \u001b[0m | \u001b[0m 0.007534\u001b[0m | \u001b[0m 152.3   \u001b[0m | \u001b[0m 46.46   \u001b[0m | \u001b[0m 0.9238  \u001b[0m | \u001b[0m 0.7144  \u001b[0m | \u001b[0m 0.3361  \u001b[0m |\n",
+            "| \u001b[0m 11      \u001b[0m | \u001b[0m-1.059   \u001b[0m | \u001b[0m 0.5     \u001b[0m | \u001b[0m 1.0     \u001b[0m | \u001b[0m 100.0   \u001b[0m | \u001b[0m 1.0     \u001b[0m | \u001b[0m 50.0    \u001b[0m | \u001b[0m 30.0    \u001b[0m | \u001b[0m 0.001   \u001b[0m | \u001b[0m 11.92   \u001b[0m | \u001b[0m 5.0     \u001b[0m | \u001b[0m 1.0     \u001b[0m | \u001b[0m 0.01    \u001b[0m | \u001b[0m 2.0     \u001b[0m |\n",
             "=========================================================================================================================================================================\n",
-            "running time 0:03:25.836239\n"
+            "running time 0:00:08.129287\n"
           ]
         }
       ]
@@ -2707,7 +2613,7 @@
         "  df_test['M'] = 2.22*df_test['Fe'] + 0.6*df_test['Ni'] + 1.72*df_test['Co'] + -0.6*df_test['Cr'] + 0.0*df_test['V'] + 0.0*df_test['Cu']\n",
         "  return df_test"
       ],
-      "execution_count": null,
+      "execution_count": 39,
       "outputs": []
     },
     {
@@ -2718,7 +2624,7 @@
       "source": [
         "WAE_comps=pd.read_csv('comps_WAE.csv')"
       ],
-      "execution_count": null,
+      "execution_count": 40,
       "outputs": []
     },
     {
@@ -2726,15 +2632,15 @@
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 203
+          "height": 204
         },
         "id": "WP4-WdrdMCr1",
-        "outputId": "2db4a3a9-d1d0-43e1-a3fb-f4ffe432c00f"
+        "outputId": "ed2a4046-4df0-4bda-ba1d-00d6e0fc2256"
       },
       "source": [
         "WAE_comps.head()"
       ],
-      "execution_count": null,
+      "execution_count": 41,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -2769,64 +2675,64 @@
               "  <tbody>\n",
               "    <tr>\n",
               "      <th>0</th>\n",
-              "      <td>0.014077</td>\n",
-              "      <td>0.231521</td>\n",
-              "      <td>0.754396</td>\n",
-              "      <td>1.664660e-06</td>\n",
-              "      <td>0.000004</td>\n",
-              "      <td>1.433623e-07</td>\n",
+              "      <td>0.621771</td>\n",
+              "      <td>0.278061</td>\n",
+              "      <td>0.066139</td>\n",
+              "      <td>0.033976</td>\n",
+              "      <td>0.000051</td>\n",
+              "      <td>0.000002</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>1</th>\n",
-              "      <td>0.141357</td>\n",
-              "      <td>0.333938</td>\n",
-              "      <td>0.524631</td>\n",
-              "      <td>7.136076e-07</td>\n",
-              "      <td>0.000072</td>\n",
-              "      <td>3.349655e-07</td>\n",
+              "      <td>0.290811</td>\n",
+              "      <td>0.193655</td>\n",
+              "      <td>0.426399</td>\n",
+              "      <td>0.000012</td>\n",
+              "      <td>0.089111</td>\n",
+              "      <td>0.000012</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>2</th>\n",
-              "      <td>0.271059</td>\n",
-              "      <td>0.108174</td>\n",
-              "      <td>0.540923</td>\n",
-              "      <td>8.701057e-07</td>\n",
-              "      <td>0.079841</td>\n",
-              "      <td>1.835431e-06</td>\n",
+              "      <td>0.356562</td>\n",
+              "      <td>0.032219</td>\n",
+              "      <td>0.479116</td>\n",
+              "      <td>0.132074</td>\n",
+              "      <td>0.000014</td>\n",
+              "      <td>0.000015</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>3</th>\n",
-              "      <td>0.274571</td>\n",
-              "      <td>0.086473</td>\n",
-              "      <td>0.587006</td>\n",
-              "      <td>1.669761e-06</td>\n",
-              "      <td>0.051947</td>\n",
-              "      <td>1.217349e-06</td>\n",
+              "      <td>0.232804</td>\n",
+              "      <td>0.026366</td>\n",
+              "      <td>0.633758</td>\n",
+              "      <td>0.107050</td>\n",
+              "      <td>0.000015</td>\n",
+              "      <td>0.000007</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>4</th>\n",
-              "      <td>0.461331</td>\n",
-              "      <td>0.259892</td>\n",
-              "      <td>0.183169</td>\n",
-              "      <td>2.289097e-06</td>\n",
-              "      <td>0.095604</td>\n",
-              "      <td>2.271647e-06</td>\n",
+              "      <td>0.431049</td>\n",
+              "      <td>0.083583</td>\n",
+              "      <td>0.353330</td>\n",
+              "      <td>0.132014</td>\n",
+              "      <td>0.000015</td>\n",
+              "      <td>0.000009</td>\n",
               "    </tr>\n",
               "  </tbody>\n",
               "</table>\n",
               "</div>"
             ],
             "text/plain": [
-              "         Fe        Ni        Co            Cr         V            Cu\n",
-              "0  0.014077  0.231521  0.754396  1.664660e-06  0.000004  1.433623e-07\n",
-              "1  0.141357  0.333938  0.524631  7.136076e-07  0.000072  3.349655e-07\n",
-              "2  0.271059  0.108174  0.540923  8.701057e-07  0.079841  1.835431e-06\n",
-              "3  0.274571  0.086473  0.587006  1.669761e-06  0.051947  1.217349e-06\n",
-              "4  0.461331  0.259892  0.183169  2.289097e-06  0.095604  2.271647e-06"
+              "         Fe        Ni        Co        Cr         V        Cu\n",
+              "0  0.621771  0.278061  0.066139  0.033976  0.000051  0.000002\n",
+              "1  0.290811  0.193655  0.426399  0.000012  0.089111  0.000012\n",
+              "2  0.356562  0.032219  0.479116  0.132074  0.000014  0.000015\n",
+              "3  0.232804  0.026366  0.633758  0.107050  0.000015  0.000007\n",
+              "4  0.431049  0.083583  0.353330  0.132014  0.000015  0.000009"
             ]
           },
           "metadata": {},
-          "execution_count": 52
+          "execution_count": 41
         }
       ]
     },
@@ -2838,7 +2744,7 @@
       "source": [
         "WAE_comps=atomic_properties(WAE_comps)"
       ],
-      "execution_count": null,
+      "execution_count": 42,
       "outputs": []
     },
     {
@@ -2846,15 +2752,15 @@
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 307
+          "height": 204
         },
         "id": "SzEg5zz0MdPu",
-        "outputId": "3a1e4792-15fc-48c0-f70d-73ae126d6f9f"
+        "outputId": "2cd2672b-1b0d-4ac6-b680-c2baa8971cb8"
       },
       "source": [
         "WAE_comps.head()"
       ],
-      "execution_count": null,
+      "execution_count": 43,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -2900,103 +2806,103 @@
               "  <tbody>\n",
               "    <tr>\n",
               "      <th>0</th>\n",
-              "      <td>0.014077</td>\n",
-              "      <td>0.231521</td>\n",
-              "      <td>0.754396</td>\n",
-              "      <td>1.664660e-06</td>\n",
-              "      <td>0.000004</td>\n",
-              "      <td>1.433623e-07</td>\n",
-              "      <td>9.217423</td>\n",
-              "      <td>135.070392</td>\n",
-              "      <td>124.985951</td>\n",
-              "      <td>1.886240</td>\n",
-              "      <td>8887.395013</td>\n",
-              "      <td>97.634525</td>\n",
-              "      <td>1750.478257</td>\n",
-              "      <td>755.043333</td>\n",
-              "      <td>1671.413043</td>\n",
-              "      <td>3266.096719</td>\n",
-              "      <td>1.467724</td>\n",
+              "      <td>0.621771</td>\n",
+              "      <td>0.278061</td>\n",
+              "      <td>0.066139</td>\n",
+              "      <td>0.033976</td>\n",
+              "      <td>0.000051</td>\n",
+              "      <td>0.000002</td>\n",
+              "      <td>8.554161</td>\n",
+              "      <td>138.278730</td>\n",
+              "      <td>124.378586</td>\n",
+              "      <td>1.849766</td>\n",
+              "      <td>8204.346680</td>\n",
+              "      <td>84.855103</td>\n",
+              "      <td>1405.916691</td>\n",
+              "      <td>751.560250</td>\n",
+              "      <td>1622.408826</td>\n",
+              "      <td>3098.264551</td>\n",
+              "      <td>1.640541</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>1</th>\n",
-              "      <td>0.141357</td>\n",
-              "      <td>0.333938</td>\n",
-              "      <td>0.524631</td>\n",
-              "      <td>7.136076e-07</td>\n",
-              "      <td>0.000072</td>\n",
-              "      <td>3.349655e-07</td>\n",
-              "      <td>9.192292</td>\n",
-              "      <td>135.706802</td>\n",
-              "      <td>124.859160</td>\n",
-              "      <td>1.882932</td>\n",
-              "      <td>8757.437080</td>\n",
-              "      <td>94.162511</td>\n",
-              "      <td>1671.695978</td>\n",
-              "      <td>752.917285</td>\n",
-              "      <td>1671.243138</td>\n",
-              "      <td>3247.743705</td>\n",
-              "      <td>1.416541</td>\n",
+              "      <td>0.290811</td>\n",
+              "      <td>0.193655</td>\n",
+              "      <td>0.426399</td>\n",
+              "      <td>0.000012</td>\n",
+              "      <td>0.089111</td>\n",
+              "      <td>0.000012</td>\n",
+              "      <td>8.546386</td>\n",
+              "      <td>136.454110</td>\n",
+              "      <td>125.333000</td>\n",
+              "      <td>1.848989</td>\n",
+              "      <td>8354.534968</td>\n",
+              "      <td>86.268967</td>\n",
+              "      <td>1626.528722</td>\n",
+              "      <td>746.739280</td>\n",
+              "      <td>1622.753743</td>\n",
+              "      <td>3147.844701</td>\n",
+              "      <td>1.495193</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>2</th>\n",
-              "      <td>0.271059</td>\n",
-              "      <td>0.108174</td>\n",
-              "      <td>0.540923</td>\n",
-              "      <td>8.701057e-07</td>\n",
-              "      <td>0.079841</td>\n",
-              "      <td>1.835431e-06</td>\n",
-              "      <td>8.517753</td>\n",
-              "      <td>136.355311</td>\n",
-              "      <td>125.287840</td>\n",
-              "      <td>1.849732</td>\n",
-              "      <td>8400.001835</td>\n",
-              "      <td>88.072832</td>\n",
-              "      <td>1637.694757</td>\n",
-              "      <td>749.703133</td>\n",
-              "      <td>1617.685234</td>\n",
-              "      <td>3143.113863</td>\n",
-              "      <td>1.597044</td>\n",
+              "      <td>0.356562</td>\n",
+              "      <td>0.032219</td>\n",
+              "      <td>0.479116</td>\n",
+              "      <td>0.132074</td>\n",
+              "      <td>0.000014</td>\n",
+              "      <td>0.000015</td>\n",
+              "      <td>8.279407</td>\n",
+              "      <td>137.443177</td>\n",
+              "      <td>124.643576</td>\n",
+              "      <td>1.834079</td>\n",
+              "      <td>8301.935493</td>\n",
+              "      <td>91.789769</td>\n",
+              "      <td>1611.823904</td>\n",
+              "      <td>746.184940</td>\n",
+              "      <td>1613.687947</td>\n",
+              "      <td>3107.137533</td>\n",
+              "      <td>1.555734</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>3</th>\n",
-              "      <td>0.274571</td>\n",
-              "      <td>0.086473</td>\n",
-              "      <td>0.587006</td>\n",
-              "      <td>1.669761e-06</td>\n",
-              "      <td>0.051947</td>\n",
-              "      <td>1.217349e-06</td>\n",
-              "      <td>8.604112</td>\n",
-              "      <td>136.372854</td>\n",
-              "      <td>125.089050</td>\n",
-              "      <td>1.855878</td>\n",
-              "      <td>8474.046874</td>\n",
-              "      <td>90.130761</td>\n",
-              "      <td>1624.925709</td>\n",
-              "      <td>753.269100</td>\n",
-              "      <td>1621.707889</td>\n",
-              "      <td>3149.891904</td>\n",
-              "      <td>1.671081</td>\n",
+              "      <td>0.232804</td>\n",
+              "      <td>0.026366</td>\n",
+              "      <td>0.633758</td>\n",
+              "      <td>0.107050</td>\n",
+              "      <td>0.000015</td>\n",
+              "      <td>0.000007</td>\n",
+              "      <td>8.472368</td>\n",
+              "      <td>136.699274</td>\n",
+              "      <td>124.767323</td>\n",
+              "      <td>1.845596</td>\n",
+              "      <td>8472.905377</td>\n",
+              "      <td>94.465468</td>\n",
+              "      <td>1674.396917</td>\n",
+              "      <td>748.755867</td>\n",
+              "      <td>1625.087152</td>\n",
+              "      <td>3146.339692</td>\n",
+              "      <td>1.558479</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>4</th>\n",
-              "      <td>0.461331</td>\n",
-              "      <td>0.259892</td>\n",
-              "      <td>0.183169</td>\n",
-              "      <td>2.289097e-06</td>\n",
-              "      <td>0.095604</td>\n",
-              "      <td>2.271647e-06</td>\n",
-              "      <td>8.416143</td>\n",
-              "      <td>137.306652</td>\n",
-              "      <td>125.207892</td>\n",
-              "      <td>1.840829</td>\n",
-              "      <td>8162.014461</td>\n",
-              "      <td>81.809674</td>\n",
-              "      <td>1526.478738</td>\n",
-              "      <td>744.841857</td>\n",
-              "      <td>1613.583472</td>\n",
-              "      <td>3109.120486</td>\n",
-              "      <td>1.495138</td>\n",
+              "      <td>0.431049</td>\n",
+              "      <td>0.083583</td>\n",
+              "      <td>0.353330</td>\n",
+              "      <td>0.132014</td>\n",
+              "      <td>0.000015</td>\n",
+              "      <td>0.000009</td>\n",
+              "      <td>8.256451</td>\n",
+              "      <td>137.815327</td>\n",
+              "      <td>124.569091</td>\n",
+              "      <td>1.831909</td>\n",
+              "      <td>8226.027066</td>\n",
+              "      <td>89.836372</td>\n",
+              "      <td>1566.023427</td>\n",
+              "      <td>745.150945</td>\n",
+              "      <td>1612.702447</td>\n",
+              "      <td>3095.030896</td>\n",
+              "      <td>1.535598</td>\n",
               "    </tr>\n",
               "  </tbody>\n",
               "</table>\n",
@@ -3004,17 +2910,17 @@
             ],
             "text/plain": [
               "         Fe        Ni        Co  ...           SI           TI         M\n",
-              "0  0.014077  0.231521  0.754396  ...  1671.413043  3266.096719  1.467724\n",
-              "1  0.141357  0.333938  0.524631  ...  1671.243138  3247.743705  1.416541\n",
-              "2  0.271059  0.108174  0.540923  ...  1617.685234  3143.113863  1.597044\n",
-              "3  0.274571  0.086473  0.587006  ...  1621.707889  3149.891904  1.671081\n",
-              "4  0.461331  0.259892  0.183169  ...  1613.583472  3109.120486  1.495138\n",
+              "0  0.621771  0.278061  0.066139  ...  1622.408826  3098.264551  1.640541\n",
+              "1  0.290811  0.193655  0.426399  ...  1622.753743  3147.844701  1.495193\n",
+              "2  0.356562  0.032219  0.479116  ...  1613.687947  3107.137533  1.555734\n",
+              "3  0.232804  0.026366  0.633758  ...  1625.087152  3146.339692  1.558479\n",
+              "4  0.431049  0.083583  0.353330  ...  1612.702447  3095.030896  1.535598\n",
               "\n",
               "[5 rows x 17 columns]"
             ]
           },
           "metadata": {},
-          "execution_count": 54
+          "execution_count": 43
         }
       ]
     },
@@ -3039,7 +2945,7 @@
         "                                              'TC','MP','FI','SI','TI','M']])\n",
         "WAE_x = pd.concat([composition,pd.DataFrame(normalized_atomic_properties)],axis=1)"
       ],
-      "execution_count": null,
+      "execution_count": 44,
       "outputs": []
     },
     {
@@ -3047,15 +2953,15 @@
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 307
+          "height": 204
         },
         "id": "29QZZChOM1Y5",
-        "outputId": "21377392-bb83-4654-e12c-c47ddbc77703"
+        "outputId": "89e28ac7-b3d2-400b-80b7-0344974bd2c2"
       },
       "source": [
         "WAE_x.head()"
       ],
-      "execution_count": null,
+      "execution_count": 45,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -3101,103 +3007,103 @@
               "  <tbody>\n",
               "    <tr>\n",
               "      <th>0</th>\n",
-              "      <td>0.014077</td>\n",
-              "      <td>0.231521</td>\n",
-              "      <td>0.754396</td>\n",
-              "      <td>1.664660e-06</td>\n",
-              "      <td>0.000004</td>\n",
-              "      <td>1.433623e-07</td>\n",
-              "      <td>0.608974</td>\n",
-              "      <td>0.013980</td>\n",
-              "      <td>0.655022</td>\n",
-              "      <td>0.718451</td>\n",
-              "      <td>0.980616</td>\n",
-              "      <td>0.581757</td>\n",
-              "      <td>0.850225</td>\n",
-              "      <td>0.707755</td>\n",
-              "      <td>0.570637</td>\n",
-              "      <td>0.705669</td>\n",
-              "      <td>0.535856</td>\n",
+              "      <td>0.621771</td>\n",
+              "      <td>0.278061</td>\n",
+              "      <td>0.066139</td>\n",
+              "      <td>0.033976</td>\n",
+              "      <td>0.000051</td>\n",
+              "      <td>0.000002</td>\n",
+              "      <td>0.267221</td>\n",
+              "      <td>0.670098</td>\n",
+              "      <td>0.254303</td>\n",
+              "      <td>0.342567</td>\n",
+              "      <td>0.305292</td>\n",
+              "      <td>0.213701</td>\n",
+              "      <td>0.324892</td>\n",
+              "      <td>0.631284</td>\n",
+              "      <td>0.304340</td>\n",
+              "      <td>0.311627</td>\n",
+              "      <td>0.647061</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>1</th>\n",
-              "      <td>0.141357</td>\n",
-              "      <td>0.333938</td>\n",
-              "      <td>0.524631</td>\n",
-              "      <td>7.136076e-07</td>\n",
-              "      <td>0.000072</td>\n",
-              "      <td>3.349655e-07</td>\n",
-              "      <td>0.596393</td>\n",
-              "      <td>0.141387</td>\n",
-              "      <td>0.570666</td>\n",
-              "      <td>0.679149</td>\n",
-              "      <td>0.854777</td>\n",
-              "      <td>0.485289</td>\n",
-              "      <td>0.732468</td>\n",
-              "      <td>0.623713</td>\n",
-              "      <td>0.569742</td>\n",
-              "      <td>0.663670</td>\n",
-              "      <td>0.504209</td>\n",
+              "      <td>0.290811</td>\n",
+              "      <td>0.193655</td>\n",
+              "      <td>0.426399</td>\n",
+              "      <td>0.000012</td>\n",
+              "      <td>0.089111</td>\n",
+              "      <td>0.000012</td>\n",
+              "      <td>0.263212</td>\n",
+              "      <td>0.296670</td>\n",
+              "      <td>0.937977</td>\n",
+              "      <td>0.333972</td>\n",
+              "      <td>0.454033</td>\n",
+              "      <td>0.258131</td>\n",
+              "      <td>0.661898</td>\n",
+              "      <td>0.464790</td>\n",
+              "      <td>0.306213</td>\n",
+              "      <td>0.428373</td>\n",
+              "      <td>0.554423</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>2</th>\n",
-              "      <td>0.271059</td>\n",
-              "      <td>0.108174</td>\n",
-              "      <td>0.540923</td>\n",
-              "      <td>8.701057e-07</td>\n",
-              "      <td>0.079841</td>\n",
-              "      <td>1.835431e-06</td>\n",
-              "      <td>0.258708</td>\n",
-              "      <td>0.271216</td>\n",
-              "      <td>0.855873</td>\n",
-              "      <td>0.284718</td>\n",
-              "      <td>0.508671</td>\n",
-              "      <td>0.316090</td>\n",
-              "      <td>0.681646</td>\n",
-              "      <td>0.496659</td>\n",
-              "      <td>0.287527</td>\n",
-              "      <td>0.424237</td>\n",
-              "      <td>0.615817</td>\n",
+              "      <td>0.356562</td>\n",
+              "      <td>0.032219</td>\n",
+              "      <td>0.479116</td>\n",
+              "      <td>0.132074</td>\n",
+              "      <td>0.000014</td>\n",
+              "      <td>0.000015</td>\n",
+              "      <td>0.125557</td>\n",
+              "      <td>0.499093</td>\n",
+              "      <td>0.444123</td>\n",
+              "      <td>0.169010</td>\n",
+              "      <td>0.401940</td>\n",
+              "      <td>0.431623</td>\n",
+              "      <td>0.639435</td>\n",
+              "      <td>0.445645</td>\n",
+              "      <td>0.256987</td>\n",
+              "      <td>0.332520</td>\n",
+              "      <td>0.593009</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>3</th>\n",
-              "      <td>0.274571</td>\n",
-              "      <td>0.086473</td>\n",
-              "      <td>0.587006</td>\n",
-              "      <td>1.669761e-06</td>\n",
-              "      <td>0.051947</td>\n",
-              "      <td>1.217349e-06</td>\n",
-              "      <td>0.301941</td>\n",
-              "      <td>0.274728</td>\n",
-              "      <td>0.723615</td>\n",
-              "      <td>0.357740</td>\n",
-              "      <td>0.580369</td>\n",
-              "      <td>0.373269</td>\n",
-              "      <td>0.662559</td>\n",
-              "      <td>0.637620</td>\n",
-              "      <td>0.308724</td>\n",
-              "      <td>0.439748</td>\n",
-              "      <td>0.661596</td>\n",
+              "      <td>0.232804</td>\n",
+              "      <td>0.026366</td>\n",
+              "      <td>0.633758</td>\n",
+              "      <td>0.107050</td>\n",
+              "      <td>0.000015</td>\n",
+              "      <td>0.000007</td>\n",
+              "      <td>0.225048</td>\n",
+              "      <td>0.346845</td>\n",
+              "      <td>0.532766</td>\n",
+              "      <td>0.296438</td>\n",
+              "      <td>0.571263</td>\n",
+              "      <td>0.515706</td>\n",
+              "      <td>0.735021</td>\n",
+              "      <td>0.534433</td>\n",
+              "      <td>0.318883</td>\n",
+              "      <td>0.424829</td>\n",
+              "      <td>0.594758</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>4</th>\n",
-              "      <td>0.461331</td>\n",
-              "      <td>0.259892</td>\n",
-              "      <td>0.183169</td>\n",
-              "      <td>2.289097e-06</td>\n",
-              "      <td>0.095604</td>\n",
-              "      <td>2.271647e-06</td>\n",
-              "      <td>0.207841</td>\n",
-              "      <td>0.461670</td>\n",
-              "      <td>0.802682</td>\n",
-              "      <td>0.178942</td>\n",
-              "      <td>0.278227</td>\n",
-              "      <td>0.142071</td>\n",
-              "      <td>0.515409</td>\n",
-              "      <td>0.304494</td>\n",
-              "      <td>0.265913</td>\n",
-              "      <td>0.346447</td>\n",
-              "      <td>0.552807</td>\n",
+              "      <td>0.431049</td>\n",
+              "      <td>0.083583</td>\n",
+              "      <td>0.353330</td>\n",
+              "      <td>0.132014</td>\n",
+              "      <td>0.000015</td>\n",
+              "      <td>0.000009</td>\n",
+              "      <td>0.113720</td>\n",
+              "      <td>0.575257</td>\n",
+              "      <td>0.390767</td>\n",
+              "      <td>0.144998</td>\n",
+              "      <td>0.326763</td>\n",
+              "      <td>0.370237</td>\n",
+              "      <td>0.569471</td>\n",
+              "      <td>0.409936</td>\n",
+              "      <td>0.251636</td>\n",
+              "      <td>0.304013</td>\n",
+              "      <td>0.580175</td>\n",
               "    </tr>\n",
               "  </tbody>\n",
               "</table>\n",
@@ -3205,17 +3111,17 @@
             ],
             "text/plain": [
               "         Fe        Ni        Co  ...         8         9        10\n",
-              "0  0.014077  0.231521  0.754396  ...  0.570637  0.705669  0.535856\n",
-              "1  0.141357  0.333938  0.524631  ...  0.569742  0.663670  0.504209\n",
-              "2  0.271059  0.108174  0.540923  ...  0.287527  0.424237  0.615817\n",
-              "3  0.274571  0.086473  0.587006  ...  0.308724  0.439748  0.661596\n",
-              "4  0.461331  0.259892  0.183169  ...  0.265913  0.346447  0.552807\n",
+              "0  0.621771  0.278061  0.066139  ...  0.304340  0.311627  0.647061\n",
+              "1  0.290811  0.193655  0.426399  ...  0.306213  0.428373  0.554423\n",
+              "2  0.356562  0.032219  0.479116  ...  0.256987  0.332520  0.593009\n",
+              "3  0.232804  0.026366  0.633758  ...  0.318883  0.424829  0.594758\n",
+              "4  0.431049  0.083583  0.353330  ...  0.251636  0.304013  0.580175\n",
               "\n",
               "[5 rows x 17 columns]"
             ]
           },
           "metadata": {},
-          "execution_count": 56
+          "execution_count": 45
         }
       ]
     },
@@ -3237,7 +3143,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "hvhd70hpK4_J",
-        "outputId": "97c91cfc-f711-4d21-de35-d77eaf6b85fc"
+        "outputId": "9489587c-59f5-4fb5-c666-034123835022"
       },
       "source": [
         "def Tree(n,j, WAE_x):\n",
@@ -3345,7 +3251,7 @@
         "        Comp_total['pred_Z_NN_{}'.format(r)] = prediction    \n",
         "        r += 1"
       ],
-      "execution_count": null,
+      "execution_count": 46,
       "outputs": [
         {
           "output_type": "stream",
@@ -3442,7 +3348,7 @@
         "WAE_x['prediction_std'] = prediciton_std\n",
         "WAE_x['rank_score'] =prediciton_std*0.2+prediciton_mean*0.8"
       ],
-      "execution_count": null,
+      "execution_count": 47,
       "outputs": []
     },
     {
@@ -3453,7 +3359,7 @@
       "source": [
         "WAE = WAE_x[['Fe','Ni','Co','Cr','V','Cu','prediction_mean', 'prediction_std','rank_score']]"
       ],
-      "execution_count": null,
+      "execution_count": 48,
       "outputs": []
     },
     {
@@ -3461,15 +3367,15 @@
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 417
+          "height": 419
         },
         "id": "SBYAl3jkQ2Uu",
-        "outputId": "f40f174f-b785-4938-c31e-33c5f7036dd7"
+        "outputId": "9c767f8a-dfde-4fe7-bf81-4e6351effcb5"
       },
       "source": [
         "WAE.sort_values(by=['rank_score'])"
       ],
-      "execution_count": null,
+      "execution_count": 49,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -3506,64 +3412,64 @@
               "  </thead>\n",
               "  <tbody>\n",
               "    <tr>\n",
-              "      <th>2638</th>\n",
-              "      <td>0.648121</td>\n",
-              "      <td>0.351275</td>\n",
-              "      <td>0.000035</td>\n",
-              "      <td>0.000149</td>\n",
-              "      <td>0.000420</td>\n",
-              "      <td>1.327315e-06</td>\n",
-              "      <td>0.159114</td>\n",
-              "      <td>1.495680</td>\n",
-              "      <td>0.426427</td>\n",
+              "      <th>603</th>\n",
+              "      <td>0.654393</td>\n",
+              "      <td>0.341160</td>\n",
+              "      <td>0.001058</td>\n",
+              "      <td>0.000353</td>\n",
+              "      <td>0.003026</td>\n",
+              "      <td>0.000010</td>\n",
+              "      <td>0.627258</td>\n",
+              "      <td>1.422438</td>\n",
+              "      <td>0.786294</td>\n",
               "    </tr>\n",
               "    <tr>\n",
-              "      <th>2055</th>\n",
-              "      <td>0.646740</td>\n",
-              "      <td>0.352707</td>\n",
-              "      <td>0.000029</td>\n",
-              "      <td>0.000147</td>\n",
-              "      <td>0.000376</td>\n",
-              "      <td>1.586321e-06</td>\n",
-              "      <td>0.234404</td>\n",
-              "      <td>1.482898</td>\n",
-              "      <td>0.484102</td>\n",
+              "      <th>757</th>\n",
+              "      <td>0.663680</td>\n",
+              "      <td>0.335000</td>\n",
+              "      <td>0.000301</td>\n",
+              "      <td>0.000415</td>\n",
+              "      <td>0.000567</td>\n",
+              "      <td>0.000037</td>\n",
+              "      <td>0.692613</td>\n",
+              "      <td>1.222421</td>\n",
+              "      <td>0.798574</td>\n",
               "    </tr>\n",
               "    <tr>\n",
-              "      <th>2912</th>\n",
-              "      <td>0.622917</td>\n",
-              "      <td>0.323373</td>\n",
-              "      <td>0.051926</td>\n",
-              "      <td>0.000148</td>\n",
-              "      <td>0.001636</td>\n",
-              "      <td>1.708764e-07</td>\n",
-              "      <td>0.429156</td>\n",
-              "      <td>0.843978</td>\n",
-              "      <td>0.512121</td>\n",
+              "      <th>658</th>\n",
+              "      <td>0.664676</td>\n",
+              "      <td>0.333256</td>\n",
+              "      <td>0.000477</td>\n",
+              "      <td>0.000665</td>\n",
+              "      <td>0.000905</td>\n",
+              "      <td>0.000021</td>\n",
+              "      <td>0.695272</td>\n",
+              "      <td>1.223406</td>\n",
+              "      <td>0.800899</td>\n",
               "    </tr>\n",
               "    <tr>\n",
-              "      <th>1930</th>\n",
-              "      <td>0.620355</td>\n",
-              "      <td>0.316188</td>\n",
-              "      <td>0.062158</td>\n",
-              "      <td>0.000187</td>\n",
-              "      <td>0.001113</td>\n",
-              "      <td>1.329685e-07</td>\n",
-              "      <td>0.455359</td>\n",
-              "      <td>0.797104</td>\n",
-              "      <td>0.523708</td>\n",
+              "      <th>610</th>\n",
+              "      <td>0.663638</td>\n",
+              "      <td>0.334157</td>\n",
+              "      <td>0.000523</td>\n",
+              "      <td>0.000681</td>\n",
+              "      <td>0.000983</td>\n",
+              "      <td>0.000019</td>\n",
+              "      <td>0.695637</td>\n",
+              "      <td>1.224201</td>\n",
+              "      <td>0.801350</td>\n",
               "    </tr>\n",
               "    <tr>\n",
-              "      <th>316</th>\n",
-              "      <td>0.620113</td>\n",
-              "      <td>0.316095</td>\n",
-              "      <td>0.062489</td>\n",
-              "      <td>0.000186</td>\n",
-              "      <td>0.001116</td>\n",
-              "      <td>1.330367e-07</td>\n",
-              "      <td>0.457068</td>\n",
-              "      <td>0.798083</td>\n",
-              "      <td>0.525271</td>\n",
+              "      <th>809</th>\n",
+              "      <td>0.662541</td>\n",
+              "      <td>0.334845</td>\n",
+              "      <td>0.000706</td>\n",
+              "      <td>0.000627</td>\n",
+              "      <td>0.001268</td>\n",
+              "      <td>0.000013</td>\n",
+              "      <td>0.696887</td>\n",
+              "      <td>1.225691</td>\n",
+              "      <td>0.802648</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>...</th>\n",
@@ -3578,89 +3484,89 @@
               "      <td>...</td>\n",
               "    </tr>\n",
               "    <tr>\n",
-              "      <th>1130</th>\n",
-              "      <td>0.569404</td>\n",
-              "      <td>0.285598</td>\n",
-              "      <td>0.024451</td>\n",
-              "      <td>0.000002</td>\n",
-              "      <td>0.120542</td>\n",
-              "      <td>2.101832e-06</td>\n",
-              "      <td>18.341187</td>\n",
-              "      <td>3.569920</td>\n",
-              "      <td>15.386933</td>\n",
+              "      <th>874</th>\n",
+              "      <td>0.479208</td>\n",
+              "      <td>0.318671</td>\n",
+              "      <td>0.075633</td>\n",
+              "      <td>0.000024</td>\n",
+              "      <td>0.126453</td>\n",
+              "      <td>0.000010</td>\n",
+              "      <td>17.461110</td>\n",
+              "      <td>2.301345</td>\n",
+              "      <td>14.429157</td>\n",
               "    </tr>\n",
               "    <tr>\n",
-              "      <th>1214</th>\n",
-              "      <td>0.522654</td>\n",
-              "      <td>0.282285</td>\n",
-              "      <td>0.063260</td>\n",
-              "      <td>0.000002</td>\n",
-              "      <td>0.131796</td>\n",
-              "      <td>2.618308e-06</td>\n",
-              "      <td>18.684805</td>\n",
-              "      <td>2.981920</td>\n",
-              "      <td>15.544228</td>\n",
+              "      <th>1083</th>\n",
+              "      <td>0.558625</td>\n",
+              "      <td>0.320308</td>\n",
+              "      <td>0.021384</td>\n",
+              "      <td>0.000034</td>\n",
+              "      <td>0.099639</td>\n",
+              "      <td>0.000010</td>\n",
+              "      <td>17.172029</td>\n",
+              "      <td>3.918994</td>\n",
+              "      <td>14.521422</td>\n",
               "    </tr>\n",
               "    <tr>\n",
-              "      <th>2932</th>\n",
-              "      <td>0.540877</td>\n",
-              "      <td>0.283679</td>\n",
-              "      <td>0.038131</td>\n",
-              "      <td>0.000001</td>\n",
-              "      <td>0.137310</td>\n",
-              "      <td>2.563241e-06</td>\n",
-              "      <td>18.765152</td>\n",
-              "      <td>2.666628</td>\n",
-              "      <td>15.545447</td>\n",
+              "      <th>1061</th>\n",
+              "      <td>0.493232</td>\n",
+              "      <td>0.317133</td>\n",
+              "      <td>0.059200</td>\n",
+              "      <td>0.000025</td>\n",
+              "      <td>0.130399</td>\n",
+              "      <td>0.000010</td>\n",
+              "      <td>18.031670</td>\n",
+              "      <td>2.532749</td>\n",
+              "      <td>14.931886</td>\n",
               "    </tr>\n",
               "    <tr>\n",
-              "      <th>1347</th>\n",
-              "      <td>0.505444</td>\n",
-              "      <td>0.292270</td>\n",
-              "      <td>0.058011</td>\n",
-              "      <td>0.000001</td>\n",
-              "      <td>0.144271</td>\n",
-              "      <td>3.012415e-06</td>\n",
-              "      <td>19.373516</td>\n",
-              "      <td>2.579720</td>\n",
-              "      <td>16.014757</td>\n",
+              "      <th>309</th>\n",
+              "      <td>0.522177</td>\n",
+              "      <td>0.311523</td>\n",
+              "      <td>0.047142</td>\n",
+              "      <td>0.000030</td>\n",
+              "      <td>0.119119</td>\n",
+              "      <td>0.000009</td>\n",
+              "      <td>18.079628</td>\n",
+              "      <td>3.046448</td>\n",
+              "      <td>15.072992</td>\n",
               "    </tr>\n",
               "    <tr>\n",
-              "      <th>2725</th>\n",
-              "      <td>0.526752</td>\n",
-              "      <td>0.290878</td>\n",
-              "      <td>0.035879</td>\n",
-              "      <td>0.000001</td>\n",
-              "      <td>0.146487</td>\n",
-              "      <td>2.828880e-06</td>\n",
-              "      <td>19.460622</td>\n",
-              "      <td>2.583123</td>\n",
-              "      <td>16.085122</td>\n",
+              "      <th>20</th>\n",
+              "      <td>0.509453</td>\n",
+              "      <td>0.318668</td>\n",
+              "      <td>0.043539</td>\n",
+              "      <td>0.000026</td>\n",
+              "      <td>0.128302</td>\n",
+              "      <td>0.000011</td>\n",
+              "      <td>18.353016</td>\n",
+              "      <td>2.920211</td>\n",
+              "      <td>15.266455</td>\n",
               "    </tr>\n",
               "  </tbody>\n",
               "</table>\n",
-              "<p>2966 rows × 9 columns</p>\n",
+              "<p>1129 rows × 9 columns</p>\n",
               "</div>"
             ],
             "text/plain": [
               "            Fe        Ni        Co  ...  prediction_mean  prediction_std  rank_score\n",
-              "2638  0.648121  0.351275  0.000035  ...         0.159114        1.495680    0.426427\n",
-              "2055  0.646740  0.352707  0.000029  ...         0.234404        1.482898    0.484102\n",
-              "2912  0.622917  0.323373  0.051926  ...         0.429156        0.843978    0.512121\n",
-              "1930  0.620355  0.316188  0.062158  ...         0.455359        0.797104    0.523708\n",
-              "316   0.620113  0.316095  0.062489  ...         0.457068        0.798083    0.525271\n",
+              "603   0.654393  0.341160  0.001058  ...         0.627258        1.422438    0.786294\n",
+              "757   0.663680  0.335000  0.000301  ...         0.692613        1.222421    0.798574\n",
+              "658   0.664676  0.333256  0.000477  ...         0.695272        1.223406    0.800899\n",
+              "610   0.663638  0.334157  0.000523  ...         0.695637        1.224201    0.801350\n",
+              "809   0.662541  0.334845  0.000706  ...         0.696887        1.225691    0.802648\n",
               "...        ...       ...       ...  ...              ...             ...         ...\n",
-              "1130  0.569404  0.285598  0.024451  ...        18.341187        3.569920   15.386933\n",
-              "1214  0.522654  0.282285  0.063260  ...        18.684805        2.981920   15.544228\n",
-              "2932  0.540877  0.283679  0.038131  ...        18.765152        2.666628   15.545447\n",
-              "1347  0.505444  0.292270  0.058011  ...        19.373516        2.579720   16.014757\n",
-              "2725  0.526752  0.290878  0.035879  ...        19.460622        2.583123   16.085122\n",
+              "874   0.479208  0.318671  0.075633  ...        17.461110        2.301345   14.429157\n",
+              "1083  0.558625  0.320308  0.021384  ...        17.172029        3.918994   14.521422\n",
+              "1061  0.493232  0.317133  0.059200  ...        18.031670        2.532749   14.931886\n",
+              "309   0.522177  0.311523  0.047142  ...        18.079628        3.046448   15.072992\n",
+              "20    0.509453  0.318668  0.043539  ...        18.353016        2.920211   15.266455\n",
               "\n",
-              "[2966 rows x 9 columns]"
+              "[1129 rows x 9 columns]"
             ]
           },
           "metadata": {},
-          "execution_count": 60
+          "execution_count": 49
         }
       ]
     },
@@ -3670,7 +3576,11 @@
         "id": "Z9nTu3ov2E5d"
       },
       "source": [
-        "Congrats! you have completed the tutorial!"
+        "Congrats! you have completed the tutorial!\n",
+        "\n",
+        "For more information and complete version of this notebook, please stay tuned to the paper: \n",
+        "\n",
+        "'Ziyuan Rao et cl, A universally applicable active-learning framework for functional high-entropy alloy discovery, in preparation, 2021'"
       ]
     }
   ]
diff --git a/apt.txt b/apt.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d0f1245c6fdf5825392593ac2622dae14f0b8c57
--- /dev/null
+++ b/apt.txt
@@ -0,0 +1 @@
+python3-opencv
diff --git a/data_base.csv b/data_base.csv
new file mode 100644
index 0000000000000000000000000000000000000000..c31f6113b74e56dd4489a7153f5122f2dd252c74
--- /dev/null
+++ b/data_base.csv
@@ -0,0 +1,697 @@
+alloy,Fe,Ni,Co,Cr,V,Cu,VEC,AR1,AR2,PE,Density,TC,MP,FI,SI,TI,M,TEC,total 
+Fe-Ni,1,0,0,0,0,0,8,140,124,1.83,7874,80,1181,762.47,1562.98,2957.4,2.22,11.92,1
+,0.95,0.05,0,0,0,0,8.1,139.75,124.05,1.834,7925.7,80.55,1208.35,761.2035,1572.4825,2979.28,2.139,11.17,1
+,0.9,0.1,0,0,0,0,8.2,139.5,124.1,1.838,7977.4,81.1,1235.7,759.937,1581.985,3001.16,2.058,10.82,1
+,0.85,0.15,0,0,0,0,8.3,139.25,124.15,1.842,8029.1,81.65,1263.05,758.6705,1591.4875,3023.04,1.977,9.91,1
+,0.8,0.2,0,0,0,0,8.4,139,124.2,1.846,8080.8,82.2,1290.4,757.404,1600.99,3044.92,1.896,11.09,1
+,0.75,0.25,0,0,0,0,8.5,138.75,124.25,1.85,8132.5,82.75,1317.75,756.1375,1610.4925,3066.8,1.815,13.6,1
+,0.7,0.3,0,0,0,0,8.6,138.5,124.3,1.854,8184.2,83.3,1345.1,754.871,1619.995,3088.68,1.734,12.1,1
+,0.67,0.33,0,0,0,0,8.66,138.35,124.33,1.8564,8215.22,83.63,1361.51,754.1111,1625.6965,3101.808,1.6854,3.5,1
+,0.64,0.36,0,0,0,0,8.72,138.2,124.36,1.8588,8246.24,83.96,1377.92,753.3512,1631.398,3114.936,1.6368,1.34,1
+,0.635,0.365,0,0,0,0,8.73,138.175,124.365,1.8592,8251.41,84.015,1380.655,753.2246,1632.3483,3117.124,1.6287,1.3,1
+,0.63,0.37,0,0,0,0,8.74,138.15,124.37,1.8596,8256.58,84.07,1383.39,753.0979,1633.2985,3119.312,1.6206,1.5,1
+,0.6,0.4,0,0,0,0,8.8,138,124.4,1.862,8287.6,84.4,1399.8,752.338,1639,3132.44,1.572,4.07,1
+,0.55,0.45,0,0,0,0,8.9,137.75,124.45,1.866,8339.3,84.95,1427.15,751.0715,1648.5025,3154.32,1.491,7.11,1
+,0.5,0.5,0,0,0,0,9,137.5,124.5,1.87,8391,85.5,1454.5,749.805,1658.005,3176.2,1.41,9.68,1
+,0.4,0.6,0,0,0,0,9.2,137,124.6,1.878,8494.4,86.6,1509.2,747.272,1677.01,3219.96,1.248,11.28,1
+,0.3,0.7,0,0,0,0,9.4,136.5,124.7,1.886,8597.8,87.7,1563.9,744.739,1696.015,3263.72,1.086,12.24,1
+,0.2,0.8,0,0,0,0,9.6,136,124.8,1.894,8701.2,88.8,1618.6,742.206,1715.02,3307.48,0.924,12.27,1
+,0.1,0.9,0,0,0,0,9.8,135.5,124.9,1.902,8804.6,89.9,1673.3,739.673,1734.025,3351.24,0.762,12.89,1
+,0,1,0,0,0,0,10,135,125,1.91,8908,91,1728,737.14,1753.03,3395,0.6,12.76,1
+Fe-Co,0.91,0,0.09,0,0,0,8.09,139.55,124.09,1.8345,7966.34,81.8,1233.83,762.2837,1570.6669,2982.141,2.175,11.16,1
+,0.802,0,0.198,0,0,0,8.198,139.01,124.198,1.8399,8077.148,83.96,1297.226,762.0601,1579.8912,3011.8302,2.121,10.09,1
+,0.703,0,0.297,0,0,0,8.297,138.515,124.297,1.8449,8178.722,85.94,1355.339,761.8552,1588.3468,3039.0453,2.0715,9.71,1
+,0.654,0,0.346,0,0,0,8.346,138.27,124.346,1.8473,8228.996,86.92,1384.102,761.7538,1592.5319,3052.5154,2.047,9.75,1
+,0.604,0,0.396,0,0,0,8.396,138.02,124.396,1.8498,8280.296,87.92,1413.452,761.6503,1596.8024,3066.2604,2.022,9.58,1
+,0.506,0,0.494,0,0,0,8.494,137.53,124.494,1.8547,8380.844,89.88,1470.978,761.4474,1605.1725,3093.2006,1.973,9.33,1
+,0.407,0,0.593,0,0,0,8.593,137.035,124.593,1.8597,8482.418,91.86,1529.091,761.2425,1613.6281,3120.4157,1.9235,9.55,1
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