diff --git a/src/classification/ConvexHull1D.cpp b/src/classification/ConvexHull1D.cpp
index 49c8c1a64989bd7c3c5cb9efee3803915ebb13c5..67623e00dc6467fcf2c6f13d4a68813e2cce5746 100644
--- a/src/classification/ConvexHull1D.cpp
+++ b/src/classification/ConvexHull1D.cpp
@@ -32,30 +32,27 @@ ConvexHull1D::ConvexHull1D() :
     _n_class(0)
 {}
 
-ConvexHull1D::ConvexHull1D(std::vector<int> sizes, const double* prop) :
-    _sorted_value(std::accumulate(sizes.begin(), sizes.end(), 0), 0.0),
+ConvexHull1D::ConvexHull1D(std::vector<int> task_sizes, const double* prop) :
+    _sorted_value(std::accumulate(task_sizes.begin(), task_sizes.end(), 0), 0.0),
     _cls_max(),
     _cls_min(),
-    _sorted_prop_inds(std::accumulate(sizes.begin(), sizes.end(), 0), 0),
+    _sorted_prop_inds(std::accumulate(task_sizes.begin(), task_sizes.end(), 0), 0),
     _cls_start(),
     _cls_sz(),
-    _n_task(sizes.size()),
+    _n_task(task_sizes.size()),
     _n_class(0)
 {
-    initialize_prop(sizes, prop);
+    initialize_prop(task_sizes, prop);
 }
 
-void ConvexHull1D::initialize_prop(std::vector<int> sizes, const double* prop)
+void ConvexHull1D::initialize_prop(std::vector<int> task_sizes, const double* prop)
 {
     // Set the number of tasks and samples
-    _n_task = sizes.size();
+    _n_task = task_sizes.size();
     _task_scores.resize(_n_task, 0.0);
-    int n_samp = std::accumulate(sizes.begin(), sizes.end(), 0);
+    int n_samp = std::accumulate(task_sizes.begin(), task_sizes.end(), 0);
 
     // Set number of classes
-
-
-
     std::vector<double> unique_prop_vals;
     for(int pp = 0; pp < n_samp; ++pp)
     {
@@ -74,6 +71,9 @@ void ConvexHull1D::initialize_prop(std::vector<int> sizes, const double* prop)
     _cls_sz.resize(_n_class * _n_task, 0);
     _cls_start.resize(_n_class * _n_task, 0);
 
+    std::fill_n(_cls_sz.data(), _cls_sz.size(), 0);
+    std::fill_n(_cls_start.data(), _cls_start.size(), 0);
+
     // Set the values of the cls vectors and sorted inds
     _sorted_value.resize(n_samp, 0.0);
     _sorted_prop_inds.resize(n_samp, 0);
@@ -87,15 +87,15 @@ void ConvexHull1D::initialize_prop(std::vector<int> sizes, const double* prop)
 
     int start = 0;
 
-    for(int tt = 0; tt < sizes.size(); ++tt)
+    for(int tt = 0; tt < task_sizes.size(); ++tt)
     {
         util_funcs::argsort<double>(
             _sorted_prop_inds.data() + start,
-            _sorted_prop_inds.data() + start + sizes[tt],
+            _sorted_prop_inds.data() + start + task_sizes[tt],
             prop
         );
 
-        for(int ind = start; ind < start + sizes[tt]; ++ind)
+        for(int ind = start; ind < start + task_sizes[tt]; ++ind)
         {
             ++_cls_sz[tt * _n_class + cl_ind[prop[ind]]];
         }
@@ -143,7 +143,9 @@ double ConvexHull1D::overlap_1d(double* value, double width)
         for(int c1 = 0; c1 < _n_class; ++c1)
         {
             if(_cls_sz[tt * _n_class + c1] == 0)
+            {
                 continue;
+            }
 
             double min = _cls_min[tt * _n_class + c1];
             double max = _cls_max[tt * _n_class + c1];
diff --git a/src/classification/ConvexHull1D.hpp b/src/classification/ConvexHull1D.hpp
index d72b4f37606e704024d021b47aed3c936c3f28bc..7069dce107bf1dfdd490c0b27977e30b88af8064 100644
--- a/src/classification/ConvexHull1D.hpp
+++ b/src/classification/ConvexHull1D.hpp
@@ -51,10 +51,10 @@ public:
     /**
      * @brief Constructor
      *
-     * @param sizes The size of each task
+     * @param task_sizes The size of each task
      * @param prop The pointer to the property vector
      */
-    ConvexHull1D(std::vector<int> sizes, const double* prop);
+    ConvexHull1D(std::vector<int> task_sizes, const double* prop);
 
     /**
      * @brief Default constructor
@@ -64,10 +64,10 @@ public:
     /**
      * @brief Initialize the projection objects
      *
-     * @param sizes The size of each task
+     * @param task_sizes The size of each task
      * @param prop The pointer to the property vector
      */
-    void initialize_prop(std::vector<int> sizes, const double* prop);
+    void initialize_prop(std::vector<int> task_sizes, const double* prop);
 
     /**
      * @brief Calculate the projection scores of a set of features to a vector via Pearson correlation
diff --git a/src/classification/SVMWrapper.cpp b/src/classification/SVMWrapper.cpp
index f947de1c646b6c8f486f83cb1d9769b209322ee0..c7adb537e09a529a6a2c30ef0f8b4b54ab616221 100644
--- a/src/classification/SVMWrapper.cpp
+++ b/src/classification/SVMWrapper.cpp
@@ -22,27 +22,8 @@
 #include "classification/SVMWrapper.hpp"
 
 SVMWrapper::SVMWrapper(const int n_class, const int n_dim, const int n_samp, const double* prop) :
-    _model(nullptr),
-    _y(prop, prop + n_samp),
-    _y_est(n_samp),
-    _x_space(n_samp * (n_dim + 1)),
-    _x(n_samp),
-    _coefs(n_class * (n_class - 1) / 2, std::vector<double>(n_dim, 0.0)),
-    _C(1000.0),
-    _intercept(n_class * (n_class - 1) / 2, 0.0),
-    _w_remap(n_dim, 1.0),
-    _b_remap(n_dim, 0.0),
-    _n_dim(n_dim),
-    _n_samp(n_samp),
-    _n_class(n_class)
-{
-    setup_parameter_obj(_C);
-    setup_x_space();
-
-    _prob.l = _n_samp;
-    _prob.y = _y.data();
-    _prob.x = _x.data();
-}
+    SVMWrapper(1000.0, n_class, n_dim, n_samp, prop)
+{}
 
 SVMWrapper::SVMWrapper(const int n_class, const int n_dim, const std::vector<double> prop) :
     SVMWrapper(n_class, n_dim, prop.size(), prop.data())
@@ -63,6 +44,14 @@ SVMWrapper::SVMWrapper(const double C, const int n_class, const int n_dim, const
     _n_samp(n_samp),
     _n_class(n_class)
 {
+    std::vector<double> unique_prop_vals = vector_utils::unique(_y);
+    std::map<double, double> rep_map;
+    for(int cc = 0; cc < _n_class; ++cc)
+    {
+        _map_prop_vals[static_cast<double>(cc)] = unique_prop_vals[cc];
+        rep_map[unique_prop_vals[cc]] = static_cast<double>(cc);
+    }
+    std::transform(_y.begin(), _y.end(), _y.begin(), [&](double val){return rep_map[val];});
     setup_parameter_obj(_C);
     setup_x_space();
 
@@ -210,7 +199,10 @@ void SVMWrapper::train(const bool remap_coefs)
     std::transform(_x.begin(), _x.end(), _y_est.begin(), [this](svm_node* sn){return svm_predict(_model, sn);});
     _n_misclassified = 0;
     for(int ss = 0; ss < _n_samp; ++ss)
+    {
         _n_misclassified += _y[ss] != _y_est[ss];
+    }
+    std::transform(_y_est.begin(), _y_est.end(), _y_est.begin(), [this](double val){return _map_prop_vals[val];});
 }
 
 void SVMWrapper::train(const std::vector<int> inds, const int task, const bool remap_coefs)
@@ -251,6 +243,6 @@ std::vector<double> SVMWrapper::predict(const int n_samp_test, const std::vector
         x_test[ss] = &x_space_test[ss * (val_ptrs.size() + 1)];
     }
     std::transform(x_test.begin(), x_test.end(), y_est_test.begin(), [this](svm_node* sn){return svm_predict(_model, sn);});
-
+    std::transform(y_est_test.begin(), y_est_test.end(), y_est_test.begin(), [this](double val){return _map_prop_vals[val];});
     return y_est_test;
 }
diff --git a/src/classification/SVMWrapper.hpp b/src/classification/SVMWrapper.hpp
index b616a44876ec3856852573c59091129b62ba3804..8f412797b51625c2d954182fe192e0025162c150 100644
--- a/src/classification/SVMWrapper.hpp
+++ b/src/classification/SVMWrapper.hpp
@@ -22,11 +22,13 @@
 #ifndef LIBSVM_WRAPPER
 #define LIBSVM_WRAPPER
 
+#include <map>
 #include <algorithm>
 #include <iostream>
 
 #include "external/libsvm/svm.h"
 #include "feature_creation/node/value_storage/nodes_value_containers.hpp"
+#include "utils/vector_utils.hpp"
 
 // DocString: cls_svm_wrapper
 /**
@@ -50,6 +52,7 @@ protected:
     std::vector<double> _w_remap; //!< Prefactors to convert the data to/from the preferred SVM range (0 to 1)
     std::vector<double> _b_remap;  //!< Prefactors to map the minimum of the features to 0.0
 
+    std::map<double, double> _map_prop_vals; //!< Map of the property values to the values used for SVM
     const double _C; //!< The C parameter for the SVM calculation
 
     const int _n_dim; //!< The number of dimensions for the SVM problem
diff --git a/src/descriptor_identifier/model/ModelClassifier.cpp b/src/descriptor_identifier/model/ModelClassifier.cpp
index 2b6a1459a7a53b0817174ad866d62741bf47c2ca..6876a4c2bf4189e25fa5d30bc2ade1ea7a3ecfc4 100644
--- a/src/descriptor_identifier/model/ModelClassifier.cpp
+++ b/src/descriptor_identifier/model/ModelClassifier.cpp
@@ -220,8 +220,8 @@ std::string ModelClassifier::write_coefs() const
 {
     std::stringstream coef_head_stream;
     coef_head_stream << "# Decision Boundaries" << std::endl;
-    int n_db = _n_class * (_n_class - 1) / 2;
-    int task_header_w = 1 + static_cast<int>(std::floor(std::log10(n_db))) + std::max(
+    int n_db = _loss->n_class() * (_loss->n_class() - 1) / 2;
+    int task_header_w = 2 + static_cast<int>(std::floor(std::log10(_n_class))) * 3 + std::max(
         6,
         static_cast<int>(std::max_element(_task_names.begin(), _task_names.end(), [](std::string s1, std::string s2){return s1.size() <= s2.size();})->size())
     );
@@ -233,16 +233,19 @@ std::string ModelClassifier::write_coefs() const
     }
     coef_head_stream << " b" << std::endl;
 
+    int start_coefs = 0;
     for(int tt = 0; tt < _task_names.size(); ++tt)
     {
+        n_db = _loss->n_class(tt) * (_loss->n_class(tt) - 1) / 2;
         for(int db = 0; db < n_db; ++db)
         {
-            coef_head_stream << std::setw(task_header_w) << std::left << "# " + _task_names[tt] + "_" + std::to_string(db) << std::setw(2) << ", ";
-            for(auto& coeff : _coefs[tt * n_db + db])
+            coef_head_stream << std::setw(task_header_w) << std::left << "# " + _task_names[tt] + "_" + _loss->coef_labels()[start_coefs] << std::setw(2) << ", ";
+            for(auto& coeff : _coefs[start_coefs])
             {
                 coef_head_stream << std::setprecision(15) << std::scientific << std::right << std::setw(22) << coeff << std::setw(2) << ", ";
             }
             coef_head_stream << "\n";
+            ++start_coefs;
         }
     }
     return coef_head_stream.str();
diff --git a/src/descriptor_identifier/solver/SISSOClassifier.cpp b/src/descriptor_identifier/solver/SISSOClassifier.cpp
index 589d068f4cb90b781842b82b8afe6bd6f20f063a..2c17f4d015ef94fb5578a247cf8969c18744f579 100644
--- a/src/descriptor_identifier/solver/SISSOClassifier.cpp
+++ b/src/descriptor_identifier/solver/SISSOClassifier.cpp
@@ -45,7 +45,7 @@ void SISSOClassifier::setup_d_mat_transfer()
         std::vector<int> inds(_task_sizes_train[tt]);
         std::iota(inds.begin(), inds.end(), task_start);
 
-        util_funcs::argsort<double>(inds.data(), inds.data() + inds.size(), _loss->prop_pointer() + task_start);
+        util_funcs::argsort<double>(inds.data(), inds.data() + inds.size(), _loss->prop_pointer());
         _sample_inds_to_sorted_dmat_inds[inds[0]] = task_start;
 
         int cls_start = 0;
@@ -70,7 +70,7 @@ std::array<double, 2> SISSOClassifier::svm_error(std::vector<SVMWrapper>& svm, c
             dist_error += 1.0 / util_funcs::norm(coefs.data(), feat_inds.size());
         }
     }
-    dist_error /= static_cast<double>(_n_task * svm[0].n_class());
+    dist_error /= static_cast<double>(_n_task * _n_class);
     return {error, dist_error};
 }
 
@@ -85,8 +85,7 @@ int SISSOClassifier::get_max_error_ind(
         scores,
         [this](int n_overlap, double score){return static_cast<double>(n_overlap * _n_samp * _n_class) + score;}
     );
-
-    double max_dist = *std::max_element(svm_margin, svm_margin + n_models) + 0.01;
+    double max_dist = std::abs(*std::max_element(svm_margin, svm_margin + n_models, [](double v1, double v2){return std::abs(v1) < std::abs(v2);})) + 0.01;
     std::transform(
         svm_margin,
         svm_margin + n_models,
@@ -121,8 +120,8 @@ void SISSOClassifier::l0_regularization(const int n_dim)
     std::vector<int> inds(n_dim, 0);
 
     std::vector<int> min_inds(n_get_models * n_dim, -1);
-    std::vector<int> min_n_convex_overlap(n_get_models, std::numeric_limits<int>::max());
-    std::vector<double> min_svm_score(n_get_models, std::numeric_limits<double>::max());
+    std::vector<int> min_n_convex_overlap(n_get_models, _n_samp * _n_class * _n_class);
+    std::vector<double> min_svm_score(n_get_models, _n_samp * _n_class * _n_class);
     std::vector<double> min_svm_margin(n_get_models, -1.0);
 
     unsigned long long int n_interactions = 1;
@@ -161,17 +160,17 @@ void SISSOClassifier::l0_regularization(const int n_dim)
             int start = 0;
             for(int tt = 0; tt < _n_task; ++tt)
             {
-                svm_vec.push_back(SVMWrapper(_c, _n_class, _n_dim, _task_sizes_train[tt], loss_copy->prop_pointer() + start));
+                svm_vec.push_back(SVMWrapper(_c, _loss->n_class(tt), _n_dim, _task_sizes_train[tt], loss_copy->prop_pointer() + start));
                 start += _task_sizes_train[tt];
             }
 
             unsigned long long int ii_prev = 0;
 
-#ifdef OMP45
+            #ifdef OMP45
             #pragma omp for schedule(monotonic: dynamic)
-#else
+            #else
             #pragma omp for schedule(dynamic)
-#endif
+            #endif
             for(unsigned long long int ii = _mpi_comm->rank(); ii < n_interactions; ii += static_cast<unsigned long long int>(_mpi_comm->size()))
             {
                 util_funcs::iterate(inds, inds.size(), ii - ii_prev);
@@ -301,8 +300,13 @@ void SISSOClassifier::l0_regularization(const int n_dim)
 
 void SISSOClassifier::fit()
 {
-    for(int dd = 1; dd <= _n_dim; ++dd)
+    int dd = 1;
+    while(
+        (dd <= _n_dim) &&
+        (*std::max_element(_loss->prop_project_pointer(), _loss->prop_project_pointer() + _loss->n_prop_project() * _n_samp) > 0.0)
+    )
     {
+
         double start = omp_get_wtime();
         _feat_space->sis(_loss);
 
@@ -330,6 +334,11 @@ void SISSOClassifier::fit()
                 }
             }
         }
+        ++dd;
+    }
+    if(dd <= _n_dim)
+    {
+        std::cerr << "WARNING: All points sperated before reaching the requested dimension." << std::endl;
     }
 }
 
diff --git a/src/loss_function/LossFunction.hpp b/src/loss_function/LossFunction.hpp
index 198acd015401a2398f331e62cf2854eacc4e22dc..dcee589bc5854bd37af14b5242557236103367b2 100644
--- a/src/loss_function/LossFunction.hpp
+++ b/src/loss_function/LossFunction.hpp
@@ -309,6 +309,11 @@ public:
      */
     inline int n_task() const {return _n_task;}
 
+    /**
+     * @brief Number of properties to project over
+     */
+    inline int n_prop_project(){return _n_project_prop;}
+
     /**
      * @brief Set the number of features and linear model constants to those for the new n_feat
      *
@@ -317,9 +322,26 @@ public:
     virtual inline void set_nfeat(int n_feat){_n_feat = n_feat; _n_dim = n_feat + (!_fix_intercept);}
 
     /**
-     * @brief The number of classes in the calculation
+     * @brief Number of classes in the property
+     */
+    virtual inline std::vector<int> n_class_per_task() const {return {};}
+
+    /**
+     * @brief The number of classes in the calculation for a given task
+     *
+     * @param task_num The task to get the number of classes for
+     */
+    virtual inline int n_class(int task_num) const {return 0;}
+
+    /**
+     * @brief The maximum number of classes in the calculation
+     */
+    virtual inline int n_class() const {return 0;}
+
+    /**
+     * @brief The labels for each set of coefficients
      */
-    virtual inline int n_class(){return 0;}
+    virtual inline std::vector<std::string> coef_labels() const {return {};}
 };
 
 #endif
diff --git a/src/loss_function/LossFunctionConvexHull.cpp b/src/loss_function/LossFunctionConvexHull.cpp
index 9ffd4addc994a9404f079c834078ba9d9970a3ae..e87f928c0df97991c5ff9e6ab7f89a078124d672 100644
--- a/src/loss_function/LossFunctionConvexHull.cpp
+++ b/src/loss_function/LossFunctionConvexHull.cpp
@@ -30,6 +30,7 @@ LossFunctionConvexHull::LossFunctionConvexHull(
 ) :
     LossFunction(prop_train, prop_test, task_sizes_train, task_sizes_test, false, n_feat),
     _width(1e-5),
+    _n_class_per_task(task_sizes_train.size(), 0),
     _n_class(0)
 {
     for(auto& pt : prop_test)
@@ -40,7 +41,23 @@ LossFunctionConvexHull::LossFunctionConvexHull(
         }
     }
 
-    std::vector<double> unique_classes = vector_utils::unique<double>(prop_train);
+    int start = 0.0;
+    std::vector<double> unique_classes;
+    for(int tt = 0; tt < _task_sizes_train.size(); ++tt)
+    {
+        unique_classes = vector_utils::unique<double>(prop_train.data() + start, _task_sizes_train[tt]);
+        _n_class_per_task[tt] = unique_classes.size();
+        for(int c1 = 0; c1 < unique_classes.size(); ++c1)
+        {
+            for(int c2 = c1 + 1; c2 < unique_classes.size(); ++c2)
+            {
+                _coef_labels.push_back(fmt::format("_{:.1f}_{:.1f}", unique_classes[c1], unique_classes[c2]));
+            }
+        }
+        start += _task_sizes_train[tt];
+    }
+
+    unique_classes = vector_utils::unique<double>(prop_train);
     std::map<double, double> class_map;
     _n_class = unique_classes.size();
     for(int cc = 0; cc < _n_class; ++cc)
@@ -95,6 +112,8 @@ LossFunctionConvexHull::LossFunctionConvexHull(
 LossFunctionConvexHull::LossFunctionConvexHull(std::shared_ptr<LossFunction> o) :
     LossFunction(o),
     _width(1e-5),
+    _coef_labels(o->coef_labels()),
+    _n_class_per_task(o->n_class_per_task()),
     _n_class(o->n_class())
 {
     set_nfeat(_n_feat);
@@ -106,7 +125,8 @@ void LossFunctionConvexHull::set_nfeat(int n_feat, bool initialize_sorted_d_mat)
     _n_feat = n_feat;
     _n_dim = n_feat + 1;
     setup_lp(initialize_sorted_d_mat);
-    _coefs.resize(_n_class * (_n_class - 1) / 2 * _n_dim * _task_sizes_train.size(), 0.0);
+    int n_class_combos = std::accumulate(_n_class_per_task.begin(), _n_class_per_task.end(), 0, [](int tot, int nc){return tot + nc * (nc - 1) / 2;});
+    _coefs.resize(n_class_combos * _n_dim, 0.0);
 }
 
 void LossFunctionConvexHull::prepare_project()
@@ -157,60 +177,44 @@ void LossFunctionConvexHull::setup_lp(bool initialize_sorted_d_mat)
     int task_start_test = 0;
     _lp = {};
 
-    std::vector<int> n_samp_per_class;
-    for(int tt = 0; tt < _n_task; ++tt)
+    std::map<double, int> rep_map;
+    std::vector<double> unique_classes = vector_utils::unique(_prop_train);
+    std::sort(unique_classes.begin(), unique_classes.end());
+
+    for(int uc = 0; uc < unique_classes.size(); ++uc)
     {
-        std::map<double, int> rep_class;
+        rep_map[unique_classes[uc]] = uc;
+    }
 
+    std::vector<int> n_samp_per_class(_n_class * _n_task);
+    for(int tt = 0; tt < _n_task; ++tt)
+    {
         std::vector<int> inds(_task_sizes_train[tt]);
         std::iota(inds.begin(), inds.end(), task_start);
         util_funcs::argsort<double>(inds.data(), inds.data() + inds.size(), _prop_train.data());
 
-        int cls_start = 0;
-        _sample_inds_to_sorted_dmat_inds[inds[0]] = task_start;
-        rep_class[_prop_train[inds[0]]] = 0;
-        for(int ii = 1; ii < inds.size(); ++ii)
+        for(int ii = 0; ii < inds.size(); ++ii)
         {
             _sample_inds_to_sorted_dmat_inds[inds[ii]] = ii + task_start;
-            if(_prop_train[inds[ii]] != _prop_train[inds[ii - 1]])
-            {
-                n_samp_per_class.push_back(ii - cls_start);
-                rep_class[_prop_train[inds[ii]]] = n_samp_per_class.size();
-                cls_start = ii;
-            }
-        }
-        n_samp_per_class.push_back(inds.size() - cls_start);
-        if(n_samp_per_class.size() != (tt + 1) * _n_class)
-        {
-            throw std::logic_error("A class is not represented in task " + std::to_string(tt) + ".");
+            ++n_samp_per_class[tt * _n_class + rep_map[_prop_train[inds[ii]]]];
         }
 
         std::vector<int> samp_per_class(_n_class);
         std::copy_n(n_samp_per_class.begin() + tt * _n_class, _n_class, samp_per_class.begin());
         task_start += _task_sizes_train[tt];
 
-        std::vector<int> n_samp_test_per_class(n_samp_per_class.size(), 0);
+        std::vector<int> samp_test_per_class(samp_per_class.size(), 0);
         if(_task_sizes_test[tt] > 0)
         {
             inds.resize(_task_sizes_test[tt]);
             std::iota(inds.begin(), inds.end(), task_start_test);
-            util_funcs::argsort<double>(inds.data(), inds.data() + inds.size(), &_prop_test[task_start_test]);
+            util_funcs::argsort<double>(inds.data(), inds.data() + inds.size(), _prop_test.data());
 
-            cls_start = 0;
-            _test_sample_inds_to_sorted_dmat_inds[inds[0]] = task_start_test;
-            for(int ii = 1; ii < inds.size(); ++ii)
+            for(int ii = 0; ii < inds.size(); ++ii)
             {
                 _test_sample_inds_to_sorted_dmat_inds[inds[ii]] = ii + task_start_test;
-                if(_prop_test[inds[ii]] != _prop_test[inds[ii - 1]])
-                {
-                    n_samp_test_per_class[
-                        rep_class[_prop_test[inds[ii - 1]]]
-                    ] = ii - cls_start;
-                    cls_start = ii;
-                }
+                ++samp_test_per_class[rep_map[_prop_test[inds[ii]]]];
             }
-            n_samp_test_per_class[rep_class[_prop_test[inds.back()]]] = inds.size() - cls_start;
-
             task_start_test += _task_sizes_test[tt];
         }
         LPWrapper lp(
@@ -220,8 +224,8 @@ void LossFunctionConvexHull::setup_lp(bool initialize_sorted_d_mat)
             _n_feat,
             std::accumulate(n_samp_per_class.begin() + tt * _n_class, n_samp_per_class.end(), 0),
             _width,
-            n_samp_test_per_class,
-            std::accumulate(n_samp_test_per_class.begin(), n_samp_test_per_class.end(), 0)
+            samp_test_per_class,
+            std::accumulate(samp_test_per_class.begin(), samp_test_per_class.end(), 0)
         );
         _lp.push_back(lp);
     }
@@ -342,9 +346,10 @@ double LossFunctionConvexHull::operator()(const std::vector<model_node_ptr>& fea
     // Perform SVM to set estimated prop
     start = 0;
     start_test = 0;
+    int start_coefs = 0;
     for(int tt = 0; tt < _task_sizes_train.size(); ++tt)
     {
-        SVMWrapper svm(_n_class, _n_feat, _task_sizes_train[tt], &_prop_train[start]);
+        SVMWrapper svm(_n_class_per_task[tt], _n_feat, _task_sizes_train[tt], &_prop_train[start]);
 
         std::vector<double*> node_val_ptrs(_n_feat);
         std::vector<double*> node_test_val_ptrs(_n_feat);
@@ -352,19 +357,19 @@ double LossFunctionConvexHull::operator()(const std::vector<model_node_ptr>& fea
         for(int dd = 0; dd < _n_feat; ++dd)
         {
             node_val_ptrs[dd] = feats[dd]->value_ptr() + start;
-            node_test_val_ptrs[dd] = feats[dd]->test_value_ptr() + start;
+            node_test_val_ptrs[dd] = feats[dd]->test_value_ptr() + start_test;
         }
 
         svm.train(node_val_ptrs);
         std::vector<std::vector<double>> coefs = svm.coefs();
         for(int cc = 0; cc < coefs.size(); ++cc)
         {
-            std::copy_n(coefs[cc].data(), coefs[cc].size(), &_coefs[tt * _n_class * (_n_class - 1) / 2 * _n_dim + cc * _n_dim]);
-            _coefs[tt * _n_class * (_n_class - 1) / 2 * _n_dim + cc * _n_dim + _n_feat] = svm.intercept()[cc];
+            std::copy_n(coefs[cc].data(), coefs[cc].size(), &_coefs[start_coefs * _n_dim]);
+            _coefs[start_coefs * _n_dim + _n_feat] = svm.intercept()[cc];
+            ++start_coefs;
         }
-
-        std::copy_n(svm.y_estimate().begin() + start, _task_sizes_train[tt], _prop_train_est.begin() + start);
-        std::copy_n(svm.predict(_task_sizes_test[tt], node_test_val_ptrs).begin() + start_test, _task_sizes_test[tt], _prop_test_est.begin() + start_test);
+        std::copy_n(svm.y_estimate().begin(), _task_sizes_train[tt], _prop_train_est.begin() + start);
+        std::copy_n(svm.predict(_task_sizes_test[tt], node_test_val_ptrs).begin(), _task_sizes_test[tt], _prop_test_est.begin() + start_test);
 
         start += _task_sizes_train[tt];
         start_test += _task_sizes_test[tt];
diff --git a/src/loss_function/LossFunctionConvexHull.hpp b/src/loss_function/LossFunctionConvexHull.hpp
index 0a0f39446463bc732c5315dc25f520ad59b7a0b5..9178e4c09f1d79c66c313743e8551b893351a6ed 100644
--- a/src/loss_function/LossFunctionConvexHull.hpp
+++ b/src/loss_function/LossFunctionConvexHull.hpp
@@ -22,6 +22,8 @@
 #ifndef LOSS_FUNCTION_CONVEX_HULL
 #define LOSS_FUNCTION_CONVEX_HULL
 
+#include <fmt/core.h>
+
 #include "classification/ConvexHull1D.hpp"
 #include "classification/LPWrapper.hpp"
 #include "classification/SVMWrapper.hpp"
@@ -43,9 +45,11 @@ protected:
     std::vector<double> _scores; //!< The scores for each of the projection properties
     std::map<int, int> _sample_inds_to_sorted_dmat_inds; //!< map from input sample inds to the SORTED_D_MATRIX_INDS
     std::map<int, int> _test_sample_inds_to_sorted_dmat_inds; //!< map from input sample inds to the SORTED_D_MATRIX_INDS
+    std::vector<std::string> _coef_labels; //!< The labels for each set of coefficients
+    std::vector<int> _n_class_per_task; //!< Number of classes in the property
 
-    const double _width; //!< The width used as the tolerance for the LP optimization
     int _n_class; //!< Number of classes in the property
+    const double _width; //!< The width used as the tolerance for the LP optimization
 
 public:
 
@@ -159,9 +163,26 @@ public:
     void set_nfeat(int n_feat, bool initialize_sorted_d_mat=false);
 
     /**
-     * @brief The number of classes in the calculation
+     * @brief The number of classes in the calculation for a given task
+     *
+     * @param task_num The task to get the number of classes for
+     */
+    inline int n_class(int task_num) const {return _n_class_per_task[task_num];}
+
+    /**
+     * @brief The maximum number of classes in the calculation
+     */
+    inline int n_class() const {return _n_class;}
+
+    /**
+     * @brief The labels for each set of coefficients
+     */
+    inline std::vector<std::string> coef_labels() const {return _coef_labels;}
+
+    /**
+     * @brief Number of classes in the property
      */
-    inline int n_class(){return _n_class;}
+    inline std::vector<int> n_class_per_task() const {return _n_class_per_task;}
 };
 
 #endif
diff --git a/src/utils/vector_utils.hpp b/src/utils/vector_utils.hpp
index 33a9dd8d6a83d2656e932dbf4e784fc072bcae04..3008d4bfd6042269e826c6673b6cbbec2c482cac 100644
--- a/src/utils/vector_utils.hpp
+++ b/src/utils/vector_utils.hpp
@@ -48,6 +48,28 @@ std::vector<T> unique(const std::vector<T> in_vec)
 
     return out_vec;
 }
+
+/**
+ * @brief Return a vector of all unique elements of in_vec
+ *
+ * @param in_vec Pointer to the input vector
+ * @param sz The size of the vector
+ * @tparam T The type of elements of T
+ * @return The vector of unique elements of in_vec
+ */
+template<typename T>
+std::vector<T> unique(const T* in_vec, int sz)
+{
+    std::vector<T> out_vec;
+    for(int ii = 0; ii < sz; ++ii)
+    {
+        if(std::find(out_vec.begin(), out_vec.end(), in_vec[ii]) == out_vec.end())
+        {
+            out_vec.push_back(in_vec[ii]);
+        }
+    }
+    return out_vec;
+}
 }
 
 
diff --git a/tests/exec_test/classification/data.csv b/tests/exec_test/classification/data.csv
index 3fa9f64bd0b9d2133040ea4849a71789ac8f078a..3de3e29a3d3a8510a21ace99268501120ce46af4 100644
--- a/tests/exec_test/classification/data.csv
+++ b/tests/exec_test/classification/data.csv
@@ -1,101 +1,101 @@
-index,prop,A,B,C,D,E,F,G,H,I,J
-0,1,0.1,-0.3,10,10,-0.492825179098274,0.173025977694162,0.598942935224295,-0.298754475196825,-0.581254909010269,-0.110656494210556
-1,1,-1.89442810374214,-1.31996134398007,0.955713896876243,0.478117201427488,0.777586191100329,0.655369716778557,0.174914171427966,-0.288498877530604,-0.045316536149489,-0.606586193752411
-2,1,-1.47460150711424,-1.22614964523433,0.330140292484796,-0.389505498689912,0.138935265824808,-0.871869282167555,0.37472462048701,0.16418591189513,0.293560701443717,0.285608940220021
-3,1,-1.30213414336735,-1.82621262418812,-0.71381302228685,0.968769585007681,0.683148179202864,0.799125092538796,0.309479173526504,0.728052031003468,0.725495580994886,-0.676576302804248
-4,1,-1.73938632269334,-1.58349866505488,-0.067783417095816,0.229988549891323,0.582427598044647,0.261947149184825,-0.31573435079735,0.61178122144268,-0.187058216967238,0.871764347690334
-5,1,-1.56660896632398,-1.05861814902183,-0.212800982302764,0.915459776146607,-0.263465552591813,-0.666126495988014,-0.195028996490007,-0.237170057680116,-0.933358858596883,-0.19726273171241
-6,1,-1.55340876153895,-1.25209231285838,0.972585787901787,-0.872502887185675,0.729110910814452,0.265244787210866,-0.726900973624432,0.248626170107939,0.809004396880265,-0.278494064780479
-7,1,-1.54625325136447,-1.81238888450819,0.431645876221063,-0.595223273279383,0.953557069758112,-0.222915219121563,0.257670939076174,0.728927879098318,-0.579783055417687,-0.179960319428095
-8,1,-1.12735554524035,-1.69261497444728,0.827091199052693,0.208781482910759,-0.573317187361529,-0.00488758921352,0.341918716034638,-0.292901671356202,-0.34531700628784,0.766920547630073
-9,1,-1.35367834815884,-1.38141056472962,0.023965203621816,-0.805412569418484,0.806810139718495,-0.806576263127819,-0.39279977856172,-0.463819363774079,0.16095248005356,-0.553419747131608
-10,1,-1.17853151888796,-1.27705829298504,0.916015229666356,0.0275946645157,-0.829507007977635,-0.700063689327201,-0.715601456588714,-0.439799165143527,-0.487241220494887,0.245279267056121
-11,1,-1.17547049766875,-1.05613281246665,0.404557718897757,0.175997361062361,0.227383730822478,0.774254652577977,-0.616080996917636,-0.948639007451084,0.954076433375225,-0.497102001172339
-12,1,-1.67277915033943,-1.86190239883588,0.906708844886064,-0.592737030373698,0.885229803890949,0.822069297241907,0.204367485562992,0.24610324883505,-0.079476866422163,-0.244006995583434
-13,1,-1.96326165438884,-1.31680458089693,-0.284570394188414,-0.198686061574238,-0.168897609541112,-0.92939259112691,0.265899059671913,-0.828727642584781,-0.427453097474168,-0.738368091608883
-14,1,-1.79497769808481,-1.13948217357082,0.011556817105957,0.499408314757229,0.253163424774478,0.017645446880421,0.401735167095264,-0.650287617298501,-0.262217482830833,-0.510102120130588
-15,1,-1.07957120536262,-1.93245955077991,-0.520161174281201,-0.392478459347396,0.147495839565868,0.780879606474075,-0.281044687799173,-0.148036908135786,-0.208810472224093,0.278961929718128
-16,1,-1.52555145037507,-1.72455209196736,0.562803219191695,0.323676061636996,0.490737136410372,-0.95476192699496,0.028603504036769,-0.246295219650507,-0.297736293597739,-0.632473830957653
-17,1,-1.29142309507315,-1.9506961526212,0.859669461054104,0.485772819254089,0.268883598825009,0.253553321699552,-0.045743087569395,0.66793403278249,0.308591963919947,0.771084301464027
-18,1,-1.23404787121001,-1.68173519287847,-0.118871100462413,0.159000937768132,0.2985428841756,-0.203829205332538,-0.637945695251352,0.658049690810909,0.949529589134008,-0.577812553880056
-19,1,-1.13513050029551,-1.3119036669604,0.74037411093045,0.558782660077505,-0.096052126354583,0.529119817360537,0.372190604770144,0.688656466253683,-0.819433165315505,-0.12814415930811
-20,1,-0.2,0.132,-10,-10,0.785237349732891,-0.387217730495401,-0.942409218899448,0.160806577297675,-0.723969983661972,-0.452650134415823
-21,1,1.1507658618081,1.7260505392724,-0.92290734251321,0.465751384219632,-0.81727500527083,-0.182472640926628,0.887526070620356,0.111592883978488,0.386435078880162,-0.440017211221272
-22,1,1.90389768224701,1.71880759316591,0.28033979546451,0.379365407838544,0.634843008192624,0.371753918780839,-0.611653305369863,0.732567927874185,0.85803611350317,-0.577973441708411
-23,1,1.77751976452381,1.28697050370578,0.222850898945077,-0.424057088828287,-0.27619426781836,0.616941667680694,-0.696779972923147,0.23612770730498,0.760705889780527,0.34004139732033
-24,1,1.65314327493874,1.16282810211312,-0.339501197382944,0.898529591365812,-0.881538228231582,0.090728826664301,-0.858395870780934,0.907272331515896,0.160531735619067,0.678911811768841
-25,1,1.30955180558204,1.36827755737648,-0.444576754578563,-0.78871174512572,0.246625773070183,-0.663474018818313,-0.446355552060464,0.750312773134634,-0.98959522970136,-0.150120109840706
-26,1,1.44924431171893,1.40328864581169,-0.388679577334402,-0.708193450791952,0.850310084800308,-0.767256338531612,0.370509317329194,0.387354921015751,0.533160321164986,0.149390212455131
-27,1,1.61362501391753,1.05448314414567,-0.359644680155969,0.682555404147728,-0.53195400936544,0.934101689590862,-0.73600284018832,-0.29960291454053,0.351125596355818,-0.187842884669279
-28,1,1.0243392720598,1.91059602121133,-0.249409157470717,-0.137070024386644,-0.707128531134104,0.944932049234295,0.431233366052987,0.449543990959262,0.912901932280027,0.77394610963827
-29,1,1.99444678594607,1.67204984441306,0.935302642480463,0.833720966523807,0.254167956717343,-0.007922712021391,-0.114776295376767,-0.276042896002242,-0.813098403125419,0.341922052212475
-30,1,1.40110330287926,1.109011516196,0.425716772255087,0.544174803732763,0.492863854358204,-0.047589791717166,-0.743840790633672,0.525289489060411,0.829611715544936,0.015193221845522
-31,1,1.94995090625471,1.05727410799969,0.12665368551441,0.469705238170149,0.874436248273008,-0.759571175468135,0.310230735619265,-0.80342084374485,-0.462431082486477,-0.407165886759129
-32,1,1.47264625042994,1.18913643279065,-0.731393018031039,0.461102224603009,-0.884528391885322,-0.419893944840798,0.647518214389067,0.688126326408485,0.754656371691603,0.116881923067816
-33,1,1.45901677207507,1.17024364037294,-0.527433424947131,-0.598774697808646,0.113197791601676,-0.50528865259863,0.117572114288939,0.590400320594326,-0.155159386769126,0.354827977413197
-34,1,1.32042744243041,1.19801952930384,-0.818626622405165,-0.029008564510599,0.952315968378468,0.817495784213924,0.182224554845043,-0.01377304364653,-0.26273195293588,-0.859530562808673
-35,1,1.88138237976289,1.03670081839679,0.305218688016626,-0.060885647660027,-0.387903446605514,-0.108064042735465,-0.962980405009682,-0.424289604203511,-0.253442293077285,0.309637368411297
-36,1,1.9986688782461,1.36909257128618,0.54312844740039,0.591372473040837,-0.835367086693457,0.198315253422507,-0.181434739783802,0.636429105754948,0.420628646992331,0.990122364664621
-37,1,1.50455818499044,1.19094974349673,-0.653263607332762,0.359359450868376,0.30131719114182,0.649581794356589,0.942268955633086,0.884659894489377,-0.473171239344398,0.039635066570717
-38,1,1.00833361547154,1.98150630000827,-0.812352457176761,0.219766101590983,-0.65021067790289,0.423621690291556,-0.58865099275791,0.061487886019891,-0.237737474016087,0.641284347380825
-39,1,1.60179185724619,1.12508599627141,-0.829819386940741,-0.345104687573802,0.485166070545119,-0.258839727448056,-0.920615208326881,0.275498215871427,-0.629075534110342,-0.642527887960687
-40,0,0.2,0.58,10,-10,0.041519856511361,0.23303461629095,-0.497233246191187,-0.023544587617095,-0.418540837770003,-0.550233932792512
-41,0,-1.09147574370355,1.70418701701285,-0.480316474702795,-0.753784710340632,-0.613234235616998,0.167955573662474,0.455636631315042,-0.380227635953206,0.48021383007369,-0.453674929885108
-42,0,-1.9425392252915,1.59311394144654,0.310098050913387,-0.835007082906627,0.407580140850853,0.556924247596553,-0.388616604639346,0.60215104751412,-0.984322198098753,-0.996332888983337
-43,0,-1.40302421044915,1.05041379743038,-0.898456453446964,-0.797029924245349,0.47491891024478,0.480193220538417,-0.750856163558686,-0.043960372032018,-0.242651391805662,-0.109239061054006
-44,0,-1.45810616907354,1.08468326497063,0.571329522934018,-0.677379826379623,0.098396984688832,-0.961599170104035,-0.753922591922157,0.361435891257559,-0.638030455493982,0.404349024843908
-45,0,-1.60421432901638,1.57730973247518,0.402433205555268,-0.06801187450078,-0.373089661152032,0.23970878487105,0.416451106643361,-0.50599166271433,-0.88669034806741,0.30364523616443
-46,0,-1.54868661350102,1.32883184576708,-0.174925245509766,0.050330391451536,-0.388676795741932,-0.72307604978553,0.646076107724964,-0.00105589909588,0.491928720743773,-0.647995101369186
-47,0,-1.8920756792535,1.76576258461153,0.289410761217525,0.48566510896872,0.338684773860801,0.374319581439648,-0.105479014627167,0.004520417892418,0.222862261975939,0.23538363683764
-48,0,-1.51442922313653,1.69840409315155,-0.199044563017407,-0.855804112781183,0.947572000564906,0.654939562810152,0.802084131057488,0.010033694468233,0.449766366250574,0.119974134618433
-49,0,-1.33469144171841,1.80124846893287,-0.346729568989951,-0.614828863660672,0.578150372001527,-0.697356489908387,-0.272496177427547,-0.326679505363186,0.403185907494623,0.659834986972357
-50,0,-1.39216086591683,1.96030807097305,-0.470918775433235,-0.165965173767875,-0.118373275802139,-0.804671542299309,-0.273096283874977,0.964676290034708,-0.240786016285174,0.781092750718218
-51,0,-1.10818774496527,1.1321805921252,-0.546315077724052,-0.263397808061131,0.073416112160648,-0.561584513583351,-0.003812545601594,-0.067901708659798,-0.797337624892413,-0.502494288676279
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diff --git a/tests/exec_test/classification/models/.~lock.train_dim_2_model_0.dat# b/tests/exec_test/classification/models/.~lock.train_dim_2_model_0.dat#
new file mode 100644
index 0000000000000000000000000000000000000000..be0b4abffd1980b95df2f29de97ad7d98dd38ffd
--- /dev/null
+++ b/tests/exec_test/classification/models/.~lock.train_dim_2_model_0.dat#
@@ -0,0 +1 @@
+,purcell,theobook,03.09.2021 15:57,file:///home/purcell/.config/libreoffice/4;
\ No newline at end of file
diff --git a/tests/exec_test/classification/sisso.json b/tests/exec_test/classification/sisso.json
index 196884b5f3c963281aa753c06501c6fb2bcd8f39..9613bef7bdf1e740abe91993da1d83a91a50209d 100644
--- a/tests/exec_test/classification/sisso.json
+++ b/tests/exec_test/classification/sisso.json
@@ -1,15 +1,16 @@
 {
     "desc_dim": 2,
-    "n_sis_select": 5,
+    "n_sis_select": 10,
     "max_rung": 1,
-    "n_residual": 1,
+    "n_residual": 5,
     "data_file": "data.csv",
     "data_file_relatice_to_json": true,
     "property_key": "prop",
+    "task_key": "task",
     "leave_out_frac": 0.2,
-    "n_models_store": 1,
+    "leave_out_inds": [ 2, 3, 4, 6, 21, 23, 30, 38, 39, 52, 53, 61, 76, 82, 83, 45, 47, 48, 49, 66 ],
+    "n_models_store": 5,
     "calc_type": "classification",
-    "leave_out_inds": [80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95 ,96 ,97, 98 , 99],
     "opset": ["add", "sub", "abs_diff", "mult", "div", "inv", "abs", "exp", "log", "sin", "cos", "sq", "cb", "six_pow", "sqrt", "cbrt", "neg_exp"],
     "param_opset" : [],
     "fix_intercept": false
diff --git a/tests/exec_test/classification/test b/tests/exec_test/classification/test
new file mode 100644
index 0000000000000000000000000000000000000000..8a6704af53aa403acc12f2e239bbd0fcedb003c9
--- /dev/null
+++ b/tests/exec_test/classification/test
@@ -0,0 +1,6473 @@
+time input_parsing: 0.001436 s
+time to generate feat sapce: 0.00326109 s
+Projection time: 0.000658989 s
+Time to get best features on rank : 0.000178099 s
+Complete final combination/selection from all ranks: 0.000165939 s
+Time for SIS: 0.001127 s
+nover:: 13	19	13	13	13
+nover:: 29	19	13	13	13
+nover:: 41	19	13	13	13
+nover:: 53	19	13	13	13
+53
+nover:: 0	0	5	8	9
+class1	-2.10512	1
+class1	-3.48748	1
+class1	-5.22061	1
+class1	-1.12941	1
+class1	-2.47797	1
+nover:: 0	0	5	8	9
+class2	1.39155	1
+class2	1.07285	1
+class2	6.4437	1
+class2	7.15082	1
+class2	0.919849	1
+class2	1.5843	1
+class2	3.34031	1
+class2	1.52947	1
+nover:: 9	0	5	8	9
+class3	1.10033	1
+class3	1.00368	1
+class3	1.51989	1
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+nover:: 0	0	5	8	9
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+nover:: 0	0	5	8	9
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+0	51	21	0.0240705
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+Time for l0-norm: 0.195372 s
+Projection time: 0.00291204 s
+Time to get best features on rank : 0.000322819 s
+Complete final combination/selection from all ranks: 8.2016e-05 s
+Time for SIS: 0.00364423 s
+nover:: 17	19	13	13	13
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+nover:: 0	0	5	8	9
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+class1	0.833306	0.387098
+class1	0.53753	-0.730107
+class1	0.931021	0.403453
+nover:: 0	0	5	8	9
+class2	0.922225	1.50298
+class2	0.876612	1.60573
+class2	0.645743	0.424454
+class2	0.741874	0.548155
+class2	0.86893	1.74321
+class2	0.983898	1.58366
+class2	1.00552	1.31603
+class2	0.965409	1.55359
+nover:: 0	0	5	8	9
+class3	-0.932122	0.0989428
+class3	-0.991764	0.0208427
+class3	-0.625884	0.412765
+class3	-1.02615	-0.752031
+class3	-0.97794	-0.681478
+class3	-0.591216	0.0200101
+class3	-0.934289	-0.0849994
+class3	-0.968492	0.144729
+class3	-0.798885	-0.056356
+nover:: 0	0	5	8	9
+0
+nover:: 0	19	13	13	13
+nover:: 7	19	13	13	13
+nover:: 7	19	13	13	13
+nover:: 15	19	13	13	13
+15
+nover:: 0	0	5	8	9
+class1	-0.109762	-0.243971
+class1	-0.249901	0.584782
+class1	-0.110839	0.387098
+class1	-0.137517	-0.730107
+class1	-0.325673	0.403453
+nover:: 2	0	5	8	9
+class2	0.563653	1.50298
+class2	0.627892	1.60573
+class2	0.0417872	0.424454
+class2	0.0570999	0.548155
+class2	0.713242	1.74321
+class2	0.601193	1.58366
+class2	0.30436	1.31603
+class2	0.588291	1.55359
+nover:: 2	0	5	8	9
+class3	-0.73603	0.0989428
+class3	-0.97192	0.0208427
+class3	-0.161313	0.412765
+class3	-0.35494	-0.752031
+class3	-0.237363	-0.681478
+class3	-0.04684	0.0200101
+class3	-0.595781	-0.0849994
+class3	-0.956706	0.144729
+class3	-0.231225	-0.056356
+nover:: 2	0	5	8	9
+17
+0
+Time for l0-norm: 1.8686 s
+Percent of training data in the convex overlap region: 63.75%; Percent of test data in the convex overlap region: 70%
+[(B + A)]
+
+Percent of training data in the convex overlap region: 0%; Percent of test data in the convex overlap region: 0%
+[exp(A), (B / A)]
+
diff --git a/tests/exec_test/classification_gen_proj/data.csv b/tests/exec_test/classification_gen_proj/data.csv
index 3fa9f64bd0b9d2133040ea4849a71789ac8f078a..3de3e29a3d3a8510a21ace99268501120ce46af4 100644
--- a/tests/exec_test/classification_gen_proj/data.csv
+++ b/tests/exec_test/classification_gen_proj/data.csv
@@ -1,101 +1,101 @@
-index,prop,A,B,C,D,E,F,G,H,I,J
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diff --git a/tests/exec_test/classification_gen_proj/sisso.json b/tests/exec_test/classification_gen_proj/sisso.json
index 1be640db39dd72bf93ae0d05470b5dd92684e040..aec732c714c45a368333bbf29d599775e4ebaaac 100644
--- a/tests/exec_test/classification_gen_proj/sisso.json
+++ b/tests/exec_test/classification_gen_proj/sisso.json
@@ -10,7 +10,7 @@
     "n_models_store": 1,
     "n_rung_generate": 1,
     "calc_type": "classification",
-    "leave_out_inds": [80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95 ,96 ,97, 98 , 99],
+    "leave_out_inds": [ 2, 3, 4, 6, 21, 23, 30, 38, 39, 52, 53, 61, 76, 82, 83, 45, 47, 48, 49, 66 ],
     "opset": ["add", "sub", "abs_diff", "mult", "div", "inv", "abs", "exp", "log", "sin", "cos", "sq", "cb", "six_pow", "sqrt", "cbrt", "neg_exp"],
     "param_opset" : [],
     "fix_intercept": false
diff --git a/tests/exec_test/classification_max_corr/data.csv b/tests/exec_test/classification_max_corr/data.csv
index 3fa9f64bd0b9d2133040ea4849a71789ac8f078a..3de3e29a3d3a8510a21ace99268501120ce46af4 100644
--- a/tests/exec_test/classification_max_corr/data.csv
+++ b/tests/exec_test/classification_max_corr/data.csv
@@ -1,101 +1,101 @@
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diff --git a/tests/exec_test/classification_max_corr/sisso.json b/tests/exec_test/classification_max_corr/sisso.json
index bc7fa4cd2b4bf9ee1093d3f7e33ca3052bdab7f5..cae3d008d56450244b127005ec662a36f4efae82 100644
--- a/tests/exec_test/classification_max_corr/sisso.json
+++ b/tests/exec_test/classification_max_corr/sisso.json
@@ -10,7 +10,7 @@
     "leave_out_frac": 0.2,
     "n_models_store": 1,
     "calc_type": "classification",
-    "leave_out_inds": [80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95 ,96 ,97, 98 , 99],
+    "leave_out_inds": [ 2, 3, 4, 6, 21, 23, 30, 38, 39, 52, 53, 61, 76, 82, 83, 45, 47, 48, 49, 66 ],
     "opset": ["add", "sub", "abs_diff", "mult", "div", "inv", "abs", "exp", "log", "sin", "cos", "sq", "cb", "six_pow", "sqrt", "cbrt", "neg_exp"],
     "param_opset" : [],
     "fix_intercept": false
diff --git a/tests/exec_test/classification_max_corr_gen_proj/data.csv b/tests/exec_test/classification_max_corr_gen_proj/data.csv
index 3fa9f64bd0b9d2133040ea4849a71789ac8f078a..3de3e29a3d3a8510a21ace99268501120ce46af4 100644
--- a/tests/exec_test/classification_max_corr_gen_proj/data.csv
+++ b/tests/exec_test/classification_max_corr_gen_proj/data.csv
@@ -1,101 +1,101 @@
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diff --git a/tests/exec_test/classification_max_corr_gen_proj/sisso.json b/tests/exec_test/classification_max_corr_gen_proj/sisso.json
index dc2c7a145a97c5b95a5a7df0c588e4648e1d976b..7f978c23d974a3d8bf07c2710cac52494716e103 100644
--- a/tests/exec_test/classification_max_corr_gen_proj/sisso.json
+++ b/tests/exec_test/classification_max_corr_gen_proj/sisso.json
@@ -11,7 +11,7 @@
     "n_models_store": 1,
     "n_rung_generate": 1,
     "calc_type": "classification",
-    "leave_out_inds": [80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95 ,96 ,97, 98 , 99],
+    "leave_out_inds": [ 2, 3, 4, 6, 21, 23, 30, 38, 39, 52, 53, 61, 76, 82, 83, 45, 47, 48, 49, 66 ],
     "opset": ["add", "sub", "abs_diff", "mult", "div", "inv", "abs", "exp", "log", "sin", "cos", "sq", "cb", "six_pow", "sqrt", "cbrt", "neg_exp"],
     "param_opset" : [],
     "fix_intercept": false