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VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, kappa: 0.5583, kb_relative_information_score: 0.6163, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.18, weighted_recall: 0.6025, number_of_instances: 2000, predictive_accuracy: 0.6025, prior_entropy: 3.3219, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.8498, unweighted_recall: 0.6025,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.6536, kappa: 0.6156, kb_relative_information_score: 0.6466, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.18, weighted_recall: 0.654, number_of_instances: 2000, precision: 0.6543, predictive_accuracy: 0.654, prior_entropy: 3.3219, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.8644, unweighted_recall: 0.654,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.7142, kappa: 0.6822, kb_relative_information_score: 0.7613, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, weighted_recall: 0.714, number_of_instances: 2000, precision: 0.7155, predictive_accuracy: 0.714, prior_entropy: 3.3219, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.6442, unweighted_recall: 0.714,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7163, kappa: 0.685, kb_relative_information_score: 0.7035, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, weighted_recall: 0.7165, number_of_instances: 2000, precision: 0.7201, predictive_accuracy: 0.7165, prior_entropy: 3.3219, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.7937, unweighted_recall: 0.7165,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.7379, kappa: 0.7094, kb_relative_information_score: 0.7467, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, weighted_recall: 0.7385, number_of_instances: 2000, precision: 0.7414, predictive_accuracy: 0.7385, prior_entropy: 3.3219, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.607, unweighted_recall: 0.7385,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.7288, kappa: 0.7006, kb_relative_information_score: 0.7765, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.18, weighted_recall: 0.7305, number_of_instances: 2000, precision: 0.7301, predictive_accuracy: 0.7305, prior_entropy: 3.3219, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.594, unweighted_recall: 0.7305,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.6814, kappa: 0.6461, kb_relative_information_score: 0.7061, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, weighted_recall: 0.6815, number_of_instances: 2000, precision: 0.6816, predictive_accuracy: 0.6815, prior_entropy: 3.3219, relative_absolute_error: 0.3511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.7447, unweighted_recall: 0.6815,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.7015, kappa: 0.6689, kb_relative_information_score: 0.6997, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.18, weighted_recall: 0.702, number_of_instances: 2000, precision: 0.7018, predictive_accuracy: 0.702, prior_entropy: 3.3219, relative_absolute_error: 0.4012, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.7246, unweighted_recall: 0.702,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.7087, kappa: 0.6767, kb_relative_information_score: 0.7475, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, weighted_recall: 0.709, number_of_instances: 2000, precision: 0.7104, predictive_accuracy: 0.709, prior_entropy: 3.3219, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.6469, unweighted_recall: 0.709,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, kappa: 0.1356, kb_relative_information_score: 0.1827, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.18, weighted_recall: 0.222, number_of_instances: 2000, predictive_accuracy: 0.222, prior_entropy: 3.3219, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.9793, unweighted_recall: 0.222,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.7006, kappa: 0.6683, kb_relative_information_score: 0.7264, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.18, weighted_recall: 0.7015, number_of_instances: 2000, precision: 0.7007, predictive_accuracy: 0.7015, prior_entropy: 3.3219, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.6723, unweighted_recall: 0.7015,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7143, kappa: 0.685, kb_relative_information_score: 0.7035, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, weighted_recall: 0.7165, number_of_instances: 2000, precision: 0.7219, predictive_accuracy: 0.7165, prior_entropy: 3.3219, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.7937, unweighted_recall: 0.7165,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, kappa: 0.5583, kb_relative_information_score: 0.6163, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.18, weighted_recall: 0.6025, number_of_instances: 2000, predictive_accuracy: 0.6025, prior_entropy: 3.3219, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.8498, unweighted_recall: 0.6025,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.6536, kappa: 0.6156, kb_relative_information_score: 0.6466, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.18, weighted_recall: 0.654, number_of_instances: 2000, precision: 0.6543, predictive_accuracy: 0.654, prior_entropy: 3.3219, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.8644, unweighted_recall: 0.654,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.7142, kappa: 0.6822, kb_relative_information_score: 0.7613, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, weighted_recall: 0.714, number_of_instances: 2000, precision: 0.7155, predictive_accuracy: 0.714, prior_entropy: 3.3219, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.6442, unweighted_recall: 0.714,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7163, kappa: 0.685, kb_relative_information_score: 0.7035, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, weighted_recall: 0.7165, number_of_instances: 2000, precision: 0.7201, predictive_accuracy: 0.7165, prior_entropy: 3.3219, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.7937, unweighted_recall: 0.7165,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.7379, kappa: 0.7094, kb_relative_information_score: 0.7467, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, weighted_recall: 0.7385, number_of_instances: 2000, precision: 0.7414, predictive_accuracy: 0.7385, prior_entropy: 3.3219, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.607, unweighted_recall: 0.7385,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.7142, kappa: 0.6822, kb_relative_information_score: 0.7613, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, weighted_recall: 0.714, number_of_instances: 2000, precision: 0.7155, predictive_accuracy: 0.714, prior_entropy: 3.3219, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.6442, unweighted_recall: 0.714,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.694, kappa: 0.6606, kb_relative_information_score: 0.6805, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.18, weighted_recall: 0.6945, number_of_instances: 2000, precision: 0.7071, predictive_accuracy: 0.6945, prior_entropy: 3.3219, relative_absolute_error: 0.3394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.8239, unweighted_recall: 0.6945,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.7379, kappa: 0.7094, kb_relative_information_score: 0.7467, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, weighted_recall: 0.7385, number_of_instances: 2000, precision: 0.7414, predictive_accuracy: 0.7385, prior_entropy: 3.3219, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.607, unweighted_recall: 0.7385,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.7068, kappa: 0.6756, kb_relative_information_score: 0.7, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.18, weighted_recall: 0.708, number_of_instances: 2000, precision: 0.707, predictive_accuracy: 0.708, prior_entropy: 3.3219, relative_absolute_error: 0.4009, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242, unweighted_recall: 0.708,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.7095, kappa: 0.6778, kb_relative_information_score: 0.7479, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, weighted_recall: 0.71, number_of_instances: 2000, precision: 0.7111, predictive_accuracy: 0.71, prior_entropy: 3.3219, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.6465, unweighted_recall: 0.71,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, kappa: 0.1356, kb_relative_information_score: 0.1827, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.18, weighted_recall: 0.222, number_of_instances: 2000, predictive_accuracy: 0.222, prior_entropy: 3.3219, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.9793, unweighted_recall: 0.222,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.7061, kappa: 0.6744, kb_relative_information_score: 0.729, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.18, weighted_recall: 0.707, number_of_instances: 2000, precision: 0.7063, predictive_accuracy: 0.707, prior_entropy: 3.3219, relative_absolute_error: 0.3823, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.6695, unweighted_recall: 0.707,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7143, kappa: 0.685, kb_relative_information_score: 0.7035, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, weighted_recall: 0.7165, number_of_instances: 2000, precision: 0.7219, predictive_accuracy: 0.7165, prior_entropy: 3.3219, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.7937, unweighted_recall: 0.7165,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, kappa: 0.5583, kb_relative_information_score: 0.6163, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.18, weighted_recall: 0.6025, number_of_instances: 2000, predictive_accuracy: 0.6025, prior_entropy: 3.3219, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.8498, unweighted_recall: 0.6025,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.6494, kappa: 0.6111, kb_relative_information_score: 0.6413, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.18, weighted_recall: 0.65, number_of_instances: 2000, precision: 0.6498, predictive_accuracy: 0.65, prior_entropy: 3.3219, relative_absolute_error: 0.389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.8712, unweighted_recall: 0.65,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.7142, kappa: 0.6822, kb_relative_information_score: 0.7613, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, weighted_recall: 0.714, number_of_instances: 2000, precision: 0.7155, predictive_accuracy: 0.714, prior_entropy: 3.3219, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.6442, unweighted_recall: 0.714,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.7099, kappa: 0.6867, kb_relative_information_score: 0.7051, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.18, weighted_recall: 0.718, number_of_instances: 2000, precision: 0.72, predictive_accuracy: 0.718, prior_entropy: 3.3219, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.7916, unweighted_recall: 0.718,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.7379, kappa: 0.7094, kb_relative_information_score: 0.7467, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, weighted_recall: 0.7385, number_of_instances: 2000, precision: 0.7414, predictive_accuracy: 0.7385, prior_entropy: 3.3219, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.607, unweighted_recall: 0.7385,
Ruslan Khal 2 years ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(17) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8786, kappa: 0.7306, kb_relative_information_score: 0.5967, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.456, weighted_recall: 0.8806, number_of_instances: 19020, precision: 0.8803, predictive_accuracy: 0.8806, prior_entropy: 0.9355, relative_absolute_error: 0.4263, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.6279, unweighted_recall: 0.8551,
Laurens Krudde 2 years ago
ran flow sklearn.linear_model._base.LinearRegression(3) on task Supervised Regression on data set Reading_Hydro_downstream
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 0.0087, number_of_instances: 1000, root_mean_prior_squared_error: 0.012,
Laurens Krudde 2 years ago
ran flow sklearn.linear_model._base.LinearRegression(3) on task Supervised Regression on data set Reading_Hydro_upstream
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 0.0087, number_of_instances: 1000, root_mean_prior_squared_error: 0.012,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9652, kappa: 0.9232, kb_relative_information_score: 0.8464, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9651, number_of_instances: 601, precision: 0.9659, predictive_accuracy: 0.9651, prior_entropy: 0.9274, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3545, unweighted_recall: 0.9664,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9393, kappa: 0.8639, kb_relative_information_score: 0.6978, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9401, number_of_instances: 601, precision: 0.9409, predictive_accuracy: 0.9401, prior_entropy: 0.9274, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4758, unweighted_recall: 0.9219,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9532, kappa: 0.8956, kb_relative_information_score: 0.7395, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9534, number_of_instances: 601, precision: 0.9533, predictive_accuracy: 0.9534, prior_entropy: 0.9274, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4656, unweighted_recall: 0.9437,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8433, kappa: 0.6436, kb_relative_information_score: 0.3139, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8519, number_of_instances: 601, precision: 0.8619, predictive_accuracy: 0.8519, prior_entropy: 0.9274, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7862, unweighted_recall: 0.7968,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.4838, kappa: -0.1401, kb_relative_information_score: -0.1798, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5824, number_of_instances: 601, precision: 0.4137, predictive_accuracy: 0.5824, prior_entropy: 0.9274, relative_absolute_error: 1.1064, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0507, unweighted_recall: 0.443,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.975, kappa: 0.9443, kb_relative_information_score: 0.6747, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.4507, weighted_recall: 0.975, number_of_instances: 601, precision: 0.975, predictive_accuracy: 0.975, prior_entropy: 0.9274, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4709, unweighted_recall: 0.9694,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.713, kappa: 0.3467, kb_relative_information_score: 0.3908, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7371, number_of_instances: 601, precision: 0.7321, predictive_accuracy: 0.7371, prior_entropy: 0.9274, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0803, unweighted_recall: 0.6548,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5546, f_measure: 0.5157, kappa: -0.023, kb_relative_information_score: -0.0145, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6456, number_of_instances: 601, precision: 0.4293, predictive_accuracy: 0.6456, prior_entropy: 0.9274, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0022, unweighted_recall: 0.4911,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9934, kappa: 0.9853, kb_relative_information_score: 0.9846, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9933, number_of_instances: 601, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.9274, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.1719, unweighted_recall: 0.9938,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8747, kappa: 0.7208, kb_relative_information_score: 0.4895, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8752, number_of_instances: 601, precision: 0.8744, predictive_accuracy: 0.8752, prior_entropy: 0.9274, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6804, unweighted_recall: 0.8574,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.5458, kappa: 0.0061, kb_relative_information_score: -0.0642, mean_absolute_error: 0.4592, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5408, number_of_instances: 601, precision: 0.5522, predictive_accuracy: 0.5408, prior_entropy: 0.9274, relative_absolute_error: 1.0189, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6777, root_relative_squared_error: 1.4278, unweighted_recall: 0.5031,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.5124, kappa: -0.036, kb_relative_information_score: -0.0117, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6389, number_of_instances: 601, precision: 0.4278, predictive_accuracy: 0.6389, prior_entropy: 0.9274, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0019, unweighted_recall: 0.4861,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9652, kappa: 0.9232, kb_relative_information_score: 0.8464, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9651, number_of_instances: 601, precision: 0.9659, predictive_accuracy: 0.9651, prior_entropy: 0.9274, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3545, unweighted_recall: 0.9664,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9393, kappa: 0.8639, kb_relative_information_score: 0.6978, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9401, number_of_instances: 601, precision: 0.9409, predictive_accuracy: 0.9401, prior_entropy: 0.9274, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4758, unweighted_recall: 0.9219,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9532, kappa: 0.8956, kb_relative_information_score: 0.7395, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9534, number_of_instances: 601, precision: 0.9533, predictive_accuracy: 0.9534, prior_entropy: 0.9274, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4656, unweighted_recall: 0.9437,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8433, kappa: 0.6436, kb_relative_information_score: 0.3139, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8519, number_of_instances: 601, precision: 0.8619, predictive_accuracy: 0.8519, prior_entropy: 0.9274, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7862, unweighted_recall: 0.7968,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.4838, kappa: -0.1401, kb_relative_information_score: -0.1798, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5824, number_of_instances: 601, precision: 0.4137, predictive_accuracy: 0.5824, prior_entropy: 0.9274, relative_absolute_error: 1.1064, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0507, unweighted_recall: 0.443,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.975, kappa: 0.9443, kb_relative_information_score: 0.6747, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.4507, weighted_recall: 0.975, number_of_instances: 601, precision: 0.975, predictive_accuracy: 0.975, prior_entropy: 0.9274, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4709, unweighted_recall: 0.9694,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.713, kappa: 0.3467, kb_relative_information_score: 0.3908, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7371, number_of_instances: 601, precision: 0.7321, predictive_accuracy: 0.7371, prior_entropy: 0.9274, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0803, unweighted_recall: 0.6548,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5546, f_measure: 0.5157, kappa: -0.023, kb_relative_information_score: -0.0145, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6456, number_of_instances: 601, precision: 0.4293, predictive_accuracy: 0.6456, prior_entropy: 0.9274, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0022, unweighted_recall: 0.4911,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9934, kappa: 0.9853, kb_relative_information_score: 0.9846, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9933, number_of_instances: 601, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.9274, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.1719, unweighted_recall: 0.9938,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8747, kappa: 0.7208, kb_relative_information_score: 0.4895, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8752, number_of_instances: 601, precision: 0.8744, predictive_accuracy: 0.8752, prior_entropy: 0.9274, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6804, unweighted_recall: 0.8574,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.5458, kappa: 0.0061, kb_relative_information_score: -0.0642, mean_absolute_error: 0.4592, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5408, number_of_instances: 601, precision: 0.5522, predictive_accuracy: 0.5408, prior_entropy: 0.9274, relative_absolute_error: 1.0189, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6777, root_relative_squared_error: 1.4278, unweighted_recall: 0.5031,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.5124, kappa: -0.036, kb_relative_information_score: -0.0117, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6389, number_of_instances: 601, precision: 0.4278, predictive_accuracy: 0.6389, prior_entropy: 0.9274, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0019, unweighted_recall: 0.4861,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9652, kappa: 0.9232, kb_relative_information_score: 0.8464, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9651, number_of_instances: 601, precision: 0.9659, predictive_accuracy: 0.9651, prior_entropy: 0.9274, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3545, unweighted_recall: 0.9664,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9393, kappa: 0.8639, kb_relative_information_score: 0.6978, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9401, number_of_instances: 601, precision: 0.9409, predictive_accuracy: 0.9401, prior_entropy: 0.9274, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4758, unweighted_recall: 0.9219,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9532, kappa: 0.8956, kb_relative_information_score: 0.7395, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9534, number_of_instances: 601, precision: 0.9533, predictive_accuracy: 0.9534, prior_entropy: 0.9274, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4656, unweighted_recall: 0.9437,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8433, kappa: 0.6436, kb_relative_information_score: 0.3139, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8519, number_of_instances: 601, precision: 0.8619, predictive_accuracy: 0.8519, prior_entropy: 0.9274, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7862, unweighted_recall: 0.7968,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.4838, kappa: -0.1401, kb_relative_information_score: -0.1798, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5824, number_of_instances: 601, precision: 0.4137, predictive_accuracy: 0.5824, prior_entropy: 0.9274, relative_absolute_error: 1.1064, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0507, unweighted_recall: 0.443,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.975, kappa: 0.9443, kb_relative_information_score: 0.6747, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.4507, weighted_recall: 0.975, number_of_instances: 601, precision: 0.975, predictive_accuracy: 0.975, prior_entropy: 0.9274, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4709, unweighted_recall: 0.9694,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.713, kappa: 0.3467, kb_relative_information_score: 0.3908, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7371, number_of_instances: 601, precision: 0.7321, predictive_accuracy: 0.7371, prior_entropy: 0.9274, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0803, unweighted_recall: 0.6548,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5546, f_measure: 0.5157, kappa: -0.023, kb_relative_information_score: -0.0145, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6456, number_of_instances: 601, precision: 0.4293, predictive_accuracy: 0.6456, prior_entropy: 0.9274, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0022, unweighted_recall: 0.4911,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9934, kappa: 0.9853, kb_relative_information_score: 0.9846, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9933, number_of_instances: 601, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.9274, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.1719, unweighted_recall: 0.9938,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8747, kappa: 0.7208, kb_relative_information_score: 0.4895, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8752, number_of_instances: 601, precision: 0.8744, predictive_accuracy: 0.8752, prior_entropy: 0.9274, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6804, unweighted_recall: 0.8574,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.5458, kappa: 0.0061, kb_relative_information_score: -0.0642, mean_absolute_error: 0.4592, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5408, number_of_instances: 601, precision: 0.5522, predictive_accuracy: 0.5408, prior_entropy: 0.9274, relative_absolute_error: 1.0189, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6777, root_relative_squared_error: 1.4278, unweighted_recall: 0.5031,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.5124, kappa: -0.036, kb_relative_information_score: -0.0117, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6389, number_of_instances: 601, precision: 0.4278, predictive_accuracy: 0.6389, prior_entropy: 0.9274, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0019, unweighted_recall: 0.4861,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9652, kappa: 0.9232, kb_relative_information_score: 0.8464, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9651, number_of_instances: 601, precision: 0.9659, predictive_accuracy: 0.9651, prior_entropy: 0.9274, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3545, unweighted_recall: 0.9664,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9393, kappa: 0.8639, kb_relative_information_score: 0.6978, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9401, number_of_instances: 601, precision: 0.9409, predictive_accuracy: 0.9401, prior_entropy: 0.9274, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4758, unweighted_recall: 0.9219,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9532, kappa: 0.8956, kb_relative_information_score: 0.7395, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9534, number_of_instances: 601, precision: 0.9533, predictive_accuracy: 0.9534, prior_entropy: 0.9274, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4656, unweighted_recall: 0.9437,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8433, kappa: 0.6436, kb_relative_information_score: 0.3139, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8519, number_of_instances: 601, precision: 0.8619, predictive_accuracy: 0.8519, prior_entropy: 0.9274, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7862, unweighted_recall: 0.7968,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.4838, kappa: -0.1401, kb_relative_information_score: -0.1798, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5824, number_of_instances: 601, precision: 0.4137, predictive_accuracy: 0.5824, prior_entropy: 0.9274, relative_absolute_error: 1.1064, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0507, unweighted_recall: 0.443,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.975, kappa: 0.9443, kb_relative_information_score: 0.6747, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.4507, weighted_recall: 0.975, number_of_instances: 601, precision: 0.975, predictive_accuracy: 0.975, prior_entropy: 0.9274, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4709, unweighted_recall: 0.9694,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.713, kappa: 0.3467, kb_relative_information_score: 0.3908, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7371, number_of_instances: 601, precision: 0.7321, predictive_accuracy: 0.7371, prior_entropy: 0.9274, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0803, unweighted_recall: 0.6548,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5546, f_measure: 0.5157, kappa: -0.023, kb_relative_information_score: -0.0145, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6456, number_of_instances: 601, precision: 0.4293, predictive_accuracy: 0.6456, prior_entropy: 0.9274, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0022, unweighted_recall: 0.4911,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9934, kappa: 0.9853, kb_relative_information_score: 0.9846, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9933, number_of_instances: 601, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.9274, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.1719, unweighted_recall: 0.9938,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8747, kappa: 0.7208, kb_relative_information_score: 0.4895, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8752, number_of_instances: 601, precision: 0.8744, predictive_accuracy: 0.8752, prior_entropy: 0.9274, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6804, unweighted_recall: 0.8574,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.5458, kappa: 0.0061, kb_relative_information_score: -0.0642, mean_absolute_error: 0.4592, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5408, number_of_instances: 601, precision: 0.5522, predictive_accuracy: 0.5408, prior_entropy: 0.9274, relative_absolute_error: 1.0189, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6777, root_relative_squared_error: 1.4278, unweighted_recall: 0.5031,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.5124, kappa: -0.036, kb_relative_information_score: -0.0117, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6389, number_of_instances: 601, precision: 0.4278, predictive_accuracy: 0.6389, prior_entropy: 0.9274, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0019, unweighted_recall: 0.4861,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9652, kappa: 0.9232, kb_relative_information_score: 0.8464, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9651, number_of_instances: 601, precision: 0.9659, predictive_accuracy: 0.9651, prior_entropy: 0.9274, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3545, unweighted_recall: 0.9664,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9393, kappa: 0.8639, kb_relative_information_score: 0.6978, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9401, number_of_instances: 601, precision: 0.9409, predictive_accuracy: 0.9401, prior_entropy: 0.9274, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4758, unweighted_recall: 0.9219,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9532, kappa: 0.8956, kb_relative_information_score: 0.7395, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9534, number_of_instances: 601, precision: 0.9533, predictive_accuracy: 0.9534, prior_entropy: 0.9274, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4656, unweighted_recall: 0.9437,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8433, kappa: 0.6436, kb_relative_information_score: 0.3139, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8519, number_of_instances: 601, precision: 0.8619, predictive_accuracy: 0.8519, prior_entropy: 0.9274, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7862, unweighted_recall: 0.7968,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.4838, kappa: -0.1401, kb_relative_information_score: -0.1798, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5824, number_of_instances: 601, precision: 0.4137, predictive_accuracy: 0.5824, prior_entropy: 0.9274, relative_absolute_error: 1.1064, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0507, unweighted_recall: 0.443,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.975, kappa: 0.9443, kb_relative_information_score: 0.6747, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.4507, weighted_recall: 0.975, number_of_instances: 601, precision: 0.975, predictive_accuracy: 0.975, prior_entropy: 0.9274, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4709, unweighted_recall: 0.9694,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.713, kappa: 0.3467, kb_relative_information_score: 0.3908, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7371, number_of_instances: 601, precision: 0.7321, predictive_accuracy: 0.7371, prior_entropy: 0.9274, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0803, unweighted_recall: 0.6548,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5546, f_measure: 0.5157, kappa: -0.023, kb_relative_information_score: -0.0145, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6456, number_of_instances: 601, precision: 0.4293, predictive_accuracy: 0.6456, prior_entropy: 0.9274, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0022, unweighted_recall: 0.4911,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9934, kappa: 0.9853, kb_relative_information_score: 0.9846, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9933, number_of_instances: 601, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.9274, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.1719, unweighted_recall: 0.9938,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8747, kappa: 0.7208, kb_relative_information_score: 0.4895, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8752, number_of_instances: 601, precision: 0.8744, predictive_accuracy: 0.8752, prior_entropy: 0.9274, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6804, unweighted_recall: 0.8574,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.5458, kappa: 0.0061, kb_relative_information_score: -0.0642, mean_absolute_error: 0.4592, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5408, number_of_instances: 601, precision: 0.5522, predictive_accuracy: 0.5408, prior_entropy: 0.9274, relative_absolute_error: 1.0189, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6777, root_relative_squared_error: 1.4278, unweighted_recall: 0.5031,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.5124, kappa: -0.036, kb_relative_information_score: -0.0117, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6389, number_of_instances: 601, precision: 0.4278, predictive_accuracy: 0.6389, prior_entropy: 0.9274, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0019, unweighted_recall: 0.4861,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9532, kappa: 0.8956, kb_relative_information_score: 0.7395, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9534, number_of_instances: 601, precision: 0.9533, predictive_accuracy: 0.9534, prior_entropy: 0.9274, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4656, unweighted_recall: 0.9437,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8433, kappa: 0.6436, kb_relative_information_score: 0.3139, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8519, number_of_instances: 601, precision: 0.8619, predictive_accuracy: 0.8519, prior_entropy: 0.9274, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7862, unweighted_recall: 0.7968,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.4838, kappa: -0.1401, kb_relative_information_score: -0.1798, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5824, number_of_instances: 601, precision: 0.4137, predictive_accuracy: 0.5824, prior_entropy: 0.9274, relative_absolute_error: 1.1064, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0507, unweighted_recall: 0.443,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.975, kappa: 0.9443, kb_relative_information_score: 0.6747, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.4507, weighted_recall: 0.975, number_of_instances: 601, precision: 0.975, predictive_accuracy: 0.975, prior_entropy: 0.9274, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4709, unweighted_recall: 0.9694,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.713, kappa: 0.3467, kb_relative_information_score: 0.3908, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7371, number_of_instances: 601, precision: 0.7321, predictive_accuracy: 0.7371, prior_entropy: 0.9274, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0803, unweighted_recall: 0.6548,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5546, f_measure: 0.5157, kappa: -0.023, kb_relative_information_score: -0.0145, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6456, number_of_instances: 601, precision: 0.4293, predictive_accuracy: 0.6456, prior_entropy: 0.9274, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0022, unweighted_recall: 0.4911,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9934, kappa: 0.9853, kb_relative_information_score: 0.9846, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9933, number_of_instances: 601, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.9274, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.1719, unweighted_recall: 0.9938,