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Sergey Redyuk 3 years ago
ran flow sklearn.svm.classes.SVC(45) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, kappa: 0.8071, kb_relative_information_score: 0.7367, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.3798, weighted_recall: 0.896, number_of_instances: 625, predictive_accuracy: 0.896, prior_entropy: 1.3181, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.6045, unweighted_recall: 0.6481,
Sergey Redyuk 3 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(43) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7855, kappa: 0.6123, kb_relative_information_score: 0.5538, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.3798, weighted_recall: 0.776, number_of_instances: 625, precision: 0.8008, predictive_accuracy: 0.776, prior_entropy: 1.3181, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.8872, unweighted_recall: 0.5613,
Sergey Redyuk 3 years ago
ran flow sklearn.linear_model.logistic.LogisticRegression(35) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, kappa: 0.7478, kb_relative_information_score: 0.6347, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.3798, weighted_recall: 0.864, number_of_instances: 625, predictive_accuracy: 0.864, prior_entropy: 1.3181, relative_absolute_error: 0.3474, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.5438, unweighted_recall: 0.625,
Sergey Redyuk 3 years ago
ran flow sklearn.svm.classes.SVC(45) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5789, f_measure: 0.213, kappa: 0.1578, kb_relative_information_score: 0.2073, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.18, weighted_recall: 0.242, number_of_instances: 2000, precision: 0.872, predictive_accuracy: 0.242, prior_entropy: 3.3219, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3894, root_relative_squared_error: 1.2979, unweighted_recall: 0.242,
Sergey Redyuk 3 years ago
ran flow sklearn.svm.classes.SVC(45) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.7658, kappa: 0.7389, kb_relative_information_score: 0.7542, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.18, weighted_recall: 0.765, number_of_instances: 2000, precision: 0.7751, predictive_accuracy: 0.765, prior_entropy: 3.3219, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.7226, unweighted_recall: 0.765,
Sergey Redyuk 3 years ago
ran flow sklearn.tree.tree.DecisionTreeClassifier(65) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 0.9733, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9869, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9911, relative_absolute_error: 0.0266, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.2305, unweighted_recall: 0.987,
Sergey Redyuk 3 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(66) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6672, f_measure: 0.7301, kappa: 0.2205, kb_relative_information_score: 0.0761, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.363, weighted_recall: 0.7473, number_of_instances: 748, precision: 0.7216, predictive_accuracy: 0.7473, prior_entropy: 0.7916, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4402, root_relative_squared_error: 1.0336, unweighted_recall: 0.5985,
Sergey Redyuk 3 years ago
ran flow sklearn.tree.tree.DecisionTreeClassifier(65) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.602, f_measure: 0.7164, kappa: 0.1907, kb_relative_information_score: 0.096, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.363, weighted_recall: 0.7286, number_of_instances: 748, precision: 0.7082, predictive_accuracy: 0.7286, prior_entropy: 0.7916, relative_absolute_error: 0.8136, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.1926, unweighted_recall: 0.5882,
Sergey Redyuk 3 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(66) on task Supervised Classification on data set first-order-theorem-proving
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.5967, kappa: 0.4648, kb_relative_information_score: 0.4423, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.2508, weighted_recall: 0.6033, number_of_instances: 6118, precision: 0.5925, predictive_accuracy: 0.6033, prior_entropy: 2.3, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.856, unweighted_recall: 0.4922,
Sergey Redyuk 3 years ago
ran flow sklearn.ensemble.gradient_boos ... GradientBoostingClassifier(25) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.8149, kappa: 0.4053, kb_relative_information_score: 0.2973, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8257, number_of_instances: 522, precision: 0.8111, predictive_accuracy: 0.8257, prior_entropy: 0.7318, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.8851, unweighted_recall: 0.6823,
Sergey Redyuk 3 years ago
ran flow sklearn.ensemble.gradient_boos ... GradientBoostingClassifier(25) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.855, kappa: 0.7809, kb_relative_information_score: 0.6362, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.3798, weighted_recall: 0.88, number_of_instances: 625, precision: 0.8337, predictive_accuracy: 0.88, prior_entropy: 1.3181, relative_absolute_error: 0.3525, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.5644, unweighted_recall: 0.6422,
Sergey Redyuk 3 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(66) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.7976, kappa: 0.7761, kb_relative_information_score: 0.7341, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.18, weighted_recall: 0.7985, number_of_instances: 2000, precision: 0.7989, predictive_accuracy: 0.7985, prior_entropy: 3.3219, relative_absolute_error: 0.4154, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.596, unweighted_recall: 0.7985,
Sergey Redyuk 3 years ago
ran flow sklearn.tree.tree.DecisionTreeClassifier(65) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7509, kappa: 0.7217, kb_relative_information_score: 0.738, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.18, weighted_recall: 0.7495, number_of_instances: 2000, precision: 0.7526, predictive_accuracy: 0.7495, prior_entropy: 3.3219, relative_absolute_error: 0.2783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.7461, unweighted_recall: 0.7495,
Sergey Redyuk 3 years ago
ran flow sklearn.ensemble.gradient_boos ... GradientBoostingClassifier(25) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9956, kappa: 0.9911, kb_relative_information_score: 0.9792, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9956, number_of_instances: 1372, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9911, relative_absolute_error: 0.0245, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0623, root_relative_squared_error: 0.1255, unweighted_recall: 0.9957,
Sergey Redyuk 3 years ago
ran flow sklearn.tree.tree.DecisionTreeClassifier(65) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8866, kappa: 0.8739, kb_relative_information_score: 0.8813, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.18, weighted_recall: 0.8865, number_of_instances: 2000, precision: 0.8868, predictive_accuracy: 0.8865, prior_entropy: 3.3219, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.5022, unweighted_recall: 0.8865,
Sergey Redyuk 3 years ago
ran flow sklearn.svm.classes.SVC(45) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, weighted_recall: 1, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, root_mean_prior_squared_error: 0.4969, unweighted_recall: 1,
Sergey Redyuk 3 years ago
ran flow sklearn.linear_model.logistic.LogisticRegression(35) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 0.9622, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9876, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9911, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.1756, unweighted_recall: 0.9877,
Sergey Redyuk 3 years ago
ran flow sklearn.svm.classes.SVC(45) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5321, f_measure: 0.6937, kappa: 0.0879, kb_relative_information_score: 0.248, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.363, weighted_recall: 0.758, number_of_instances: 748, precision: 0.6999, predictive_accuracy: 0.758, prior_entropy: 0.7916, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4919, root_relative_squared_error: 1.1552, unweighted_recall: 0.5321,
Sergey Redyuk 3 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(66) on task Supervised Classification on data set cnae-9
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.922, kappa: 0.9125, kb_relative_information_score: 0.8601, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9222, number_of_instances: 1080, precision: 0.9228, predictive_accuracy: 0.9222, prior_entropy: 3.1699, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.4181, unweighted_recall: 0.9222,
Sergey Redyuk 3 years ago
ran flow sklearn.tree.tree.DecisionTreeClassifier(65) on task Supervised Classification on data set cnae-9
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8601, kappa: 0.8417, kb_relative_information_score: 0.8517, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.1975, weighted_recall: 0.8593, number_of_instances: 1080, precision: 0.8617, predictive_accuracy: 0.8593, prior_entropy: 3.1699, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.5627, unweighted_recall: 0.8593,
Sergey Redyuk 3 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(66) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.8059, kappa: 0.3744, kb_relative_information_score: 0.2119, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.3266, weighted_recall: 0.818, number_of_instances: 522, precision: 0.8014, predictive_accuracy: 0.818, prior_entropy: 0.7318, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.9063, unweighted_recall: 0.6671,
Sergey Redyuk 3 years ago
ran flow sklearn.svm.classes.SVC(45) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.7033, kappa: -0.0038, kb_relative_information_score: 0.2616, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.3266, weighted_recall: 0.7931, number_of_instances: 522, precision: 0.6317, predictive_accuracy: 0.7931, prior_entropy: 0.7318, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4549, root_relative_squared_error: 1.1268, unweighted_recall: 0.4988,
Sergey Redyuk 3 years ago
ran flow sklearn.tree.tree.DecisionTreeClassifier(65) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5967, f_measure: 0.7755, kappa: 0.3159, kb_relative_information_score: 0.1564, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.3266, weighted_recall: 0.7739, number_of_instances: 522, precision: 0.7771, predictive_accuracy: 0.7739, prior_entropy: 0.7318, relative_absolute_error: 0.7372, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.1829, unweighted_recall: 0.6602,
Sergey Redyuk 3 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(66) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8203, kappa: 0.6953, kb_relative_information_score: 0.5641, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.3798, weighted_recall: 0.8288, number_of_instances: 625, precision: 0.8128, predictive_accuracy: 0.8288, prior_entropy: 1.3181, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.6684, unweighted_recall: 0.5995,
Sergey Redyuk 3 years ago
ran flow sklearn.svm.classes.SVC(45) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, kappa: 0.8071, kb_relative_information_score: 0.7367, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.3798, weighted_recall: 0.896, number_of_instances: 625, predictive_accuracy: 0.896, prior_entropy: 1.3181, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.6045, unweighted_recall: 0.6481,
Sergey Redyuk 3 years ago
ran flow sklearn.tree.tree.DecisionTreeClassifier(65) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7894, kappa: 0.6094, kb_relative_information_score: 0.5486, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7712, number_of_instances: 625, precision: 0.8088, predictive_accuracy: 0.7712, prior_entropy: 1.3181, relative_absolute_error: 0.4017, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.8966, unweighted_recall: 0.5635,
Sergey Redyuk 3 years ago
ran flow sklearn.svm.classes.SVC(45) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5789, f_measure: 0.213, kappa: 0.1578, kb_relative_information_score: 0.2073, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.18, weighted_recall: 0.242, number_of_instances: 2000, precision: 0.872, predictive_accuracy: 0.242, prior_entropy: 3.3219, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3894, root_relative_squared_error: 1.2979, unweighted_recall: 0.242,
Sergey Redyuk 3 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(66) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 0.9601, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9913, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9911, relative_absolute_error: 0.0458, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.1754, unweighted_recall: 0.9915,
Sergey Redyuk 3 years ago
ran flow sklearn.svm.classes.SVC(45) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.7033, kappa: -0.0038, kb_relative_information_score: 0.2616, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.3266, weighted_recall: 0.7931, number_of_instances: 522, precision: 0.6317, predictive_accuracy: 0.7931, prior_entropy: 0.7318, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4549, root_relative_squared_error: 1.1268, unweighted_recall: 0.4988,
Sergey Redyuk 3 years ago
ran flow sklearn.tree.tree.DecisionTreeClassifier(65) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6219, f_measure: 0.797, kappa: 0.3719, kb_relative_information_score: 0.2445, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.3266, weighted_recall: 0.7989, number_of_instances: 522, precision: 0.7954, predictive_accuracy: 0.7989, prior_entropy: 0.7318, relative_absolute_error: 0.662, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4508, root_relative_squared_error: 1.1166, unweighted_recall: 0.6827,
Sergey Redyuk 3 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(66) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.8135, kappa: 0.6775, kb_relative_information_score: 0.5616, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.3798, weighted_recall: 0.8176, number_of_instances: 625, precision: 0.8111, predictive_accuracy: 0.8176, prior_entropy: 1.3181, relative_absolute_error: 0.4045, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.6713, unweighted_recall: 0.5914,
Sergey Redyuk 3 years ago
ran flow sklearn.tree.tree.DecisionTreeClassifier(65) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7903, kappa: 0.6117, kb_relative_information_score: 0.5511, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7728, number_of_instances: 625, precision: 0.8087, predictive_accuracy: 0.7728, prior_entropy: 1.3181, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.8935, unweighted_recall: 0.5647,
Sergey Redyuk 3 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(66) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8073, kappa: 0.7872, kb_relative_information_score: 0.7378, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.18, weighted_recall: 0.8085, number_of_instances: 2000, precision: 0.8074, predictive_accuracy: 0.8085, prior_entropy: 3.3219, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.5918, unweighted_recall: 0.8085,
Sergey Redyuk 3 years ago
ran flow sklearn.tree.tree.DecisionTreeClassifier(65) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.7513, kappa: 0.7228, kb_relative_information_score: 0.7391, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.18, weighted_recall: 0.7505, number_of_instances: 2000, precision: 0.7525, predictive_accuracy: 0.7505, prior_entropy: 3.3219, relative_absolute_error: 0.2772, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.7446, unweighted_recall: 0.7505,
Sergey Redyuk 3 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(66) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9576, kappa: 0.9528, kb_relative_information_score: 0.8977, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.18, weighted_recall: 0.9575, number_of_instances: 2000, precision: 0.9581, predictive_accuracy: 0.9575, prior_entropy: 3.3219, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.3435, unweighted_recall: 0.9575,
Sergey Redyuk 3 years ago
ran flow sklearn.tree.tree.DecisionTreeClassifier(65) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.8931, kappa: 0.8811, kb_relative_information_score: 0.8881, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.18, weighted_recall: 0.893, number_of_instances: 2000, precision: 0.8934, predictive_accuracy: 0.893, prior_entropy: 3.3219, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.4876, unweighted_recall: 0.893,
Sergey Redyuk 3 years ago
ran flow sklearn.svm.classes.SVC(45) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.7658, kappa: 0.7389, kb_relative_information_score: 0.7542, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.18, weighted_recall: 0.765, number_of_instances: 2000, precision: 0.7751, predictive_accuracy: 0.765, prior_entropy: 3.3219, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.7226, unweighted_recall: 0.765,
Sergey Redyuk 3 years ago
ran flow sklearn.tree.tree.DecisionTreeClassifier(65) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 0.9733, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9869, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9911, relative_absolute_error: 0.0266, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.2305, unweighted_recall: 0.987,
Sergey Redyuk 3 years ago
ran flow sklearn.ensemble.gradient_boos ... GradientBoostingClassifier(25) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.8118, kappa: 0.3969, kb_relative_information_score: 0.2938, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8218, number_of_instances: 522, precision: 0.8075, predictive_accuracy: 0.8218, prior_entropy: 0.7318, relative_absolute_error: 0.6392, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.8872, unweighted_recall: 0.6799,
Sergey Redyuk 3 years ago
ran flow sklearn.ensemble.gradient_boos ... GradientBoostingClassifier(25) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.8541, kappa: 0.7783, kb_relative_information_score: 0.6369, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.3798, weighted_recall: 0.8784, number_of_instances: 625, precision: 0.8332, predictive_accuracy: 0.8784, prior_entropy: 1.3181, relative_absolute_error: 0.3513, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.5639, unweighted_recall: 0.6411,
Sergey Redyuk 3 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(66) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9456, kappa: 0.9394, kb_relative_information_score: 0.8943, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.18, weighted_recall: 0.9455, number_of_instances: 2000, precision: 0.9458, predictive_accuracy: 0.9455, prior_entropy: 3.3219, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.106, root_relative_squared_error: 0.3532, unweighted_recall: 0.9455,
Sergey Redyuk 3 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(66) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9949, kappa: 0.9897, kb_relative_information_score: 0.9703, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9949, number_of_instances: 1372, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 0.9911, relative_absolute_error: 0.035, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0711, root_relative_squared_error: 0.143, unweighted_recall: 0.9949,
Sergey Redyuk 3 years ago
ran flow sklearn.ensemble.gradient_boos ... GradientBoostingClassifier(25) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9956, kappa: 0.9911, kb_relative_information_score: 0.9793, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9956, number_of_instances: 1372, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9911, relative_absolute_error: 0.0244, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0622, root_relative_squared_error: 0.1252, unweighted_recall: 0.9957,
Sergey Redyuk 3 years ago
ran flow sklearn.linear_model.logistic.LogisticRegression(35) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.097, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8515, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9223, unweighted_recall: 0.5467,
Sergey Redyuk 3 years ago
ran flow sklearn.svm.classes.SVC(45) on task Supervised Classification on data set cnae-9
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7, kappa: 0.6677, kb_relative_information_score: 0.6888, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.1975, weighted_recall: 0.7046, number_of_instances: 1080, precision: 0.8382, predictive_accuracy: 0.7046, prior_entropy: 3.1699, relative_absolute_error: 0.3323, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.8152, unweighted_recall: 0.7046,
Sergey Redyuk 3 years ago
ran flow sklearn.svm.classes.SVC(45) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.7033, kappa: -0.0038, kb_relative_information_score: 0.2616, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.3266, weighted_recall: 0.7931, number_of_instances: 522, precision: 0.6317, predictive_accuracy: 0.7931, prior_entropy: 0.7318, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4549, root_relative_squared_error: 1.1268, unweighted_recall: 0.4988,
Sergey Redyuk 3 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(66) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.8095, kappa: 0.3932, kb_relative_information_score: 0.2154, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.3266, weighted_recall: 0.818, number_of_instances: 522, precision: 0.8051, predictive_accuracy: 0.818, prior_entropy: 0.7318, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.9012, unweighted_recall: 0.6809,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set cnae-9
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9337, kappa: 0.925, kb_relative_information_score: 0.9298, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9333, number_of_instances: 1080, precision: 0.9348, predictive_accuracy: 0.9333, prior_entropy: 3.1699, relative_absolute_error: 0.075, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.3873, unweighted_recall: 0.9333,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(colu ... rn.naive_bayes.BernoulliNB)(2) on task Supervised Classification on data set cnae-9
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9603, kappa: 0.9552, kb_relative_information_score: 0.9557, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9602, number_of_instances: 1080, precision: 0.9606, predictive_accuracy: 0.9602, prior_entropy: 3.1699, relative_absolute_error: 0.061, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.2635, unweighted_recall: 0.9602,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set first-order-theorem-proving
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5869, kappa: 0.0099, kb_relative_information_score: 0.0609, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4168, number_of_instances: 6118, predictive_accuracy: 0.4168, prior_entropy: 2.3, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.9881, unweighted_recall: 0.1697,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set har
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9899, kappa: 0.9879, kb_relative_information_score: 0.9891, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.2771, weighted_recall: 0.9899, number_of_instances: 10299, precision: 0.9899, predictive_accuracy: 0.9899, prior_entropy: 2.5759, relative_absolute_error: 0.0121, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.058, root_relative_squared_error: 0.1559, unweighted_recall: 0.9905,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.9775, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, weighted_recall: 0.9785, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, relative_absolute_error: 0.0239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2186, unweighted_recall: 0.9785,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(colu ... r_perceptron.MLPClassifier)(2) on task Supervised Classification on data set cnae-9
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9389, kappa: 0.9313, kb_relative_information_score: 0.9381, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9389, number_of_instances: 1080, precision: 0.9395, predictive_accuracy: 0.9389, prior_entropy: 3.1699, relative_absolute_error: 0.0701, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.3485, unweighted_recall: 0.9389,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(2) on task Supervised Classification on data set cnae-9
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.024, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.1975, weighted_recall: 0.1111, number_of_instances: 1080, predictive_accuracy: 0.1111, prior_entropy: 3.1699, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3148, root_relative_squared_error: 1.0017, unweighted_recall: 0.1111,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(2) on task Supervised Classification on data set first-order-theorem-proving
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, kappa: 0.0507, kb_relative_information_score: 0.0874, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4263, number_of_instances: 6118, predictive_accuracy: 0.4263, prior_entropy: 2.3, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.9702, unweighted_recall: 0.1827,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(colu ... GradientBoostingClassifier)(2) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8168, kappa: 0.8, kb_relative_information_score: 0.5837, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.18, weighted_recall: 0.82, number_of_instances: 2000, precision: 0.8333, predictive_accuracy: 0.82, prior_entropy: 3.3219, relative_absolute_error: 0.619, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.6807, unweighted_recall: 0.82,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set cnae-9
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.591, kappa: 0.1063, kb_relative_information_score: 0.1333, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.1975, weighted_recall: 0.2056, number_of_instances: 1080, predictive_accuracy: 0.2056, prior_entropy: 3.1699, relative_absolute_error: 0.8969, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.9471, unweighted_recall: 0.2056,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(colu ... tic_gradient.SGDClassifier)(2) on task Supervised Classification on data set first-order-theorem-proving
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6091, f_measure: 0.4179, kappa: 0.2202, kb_relative_information_score: 0.2798, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.2508, weighted_recall: 0.4642, number_of_instances: 6118, precision: 0.4225, predictive_accuracy: 0.4642, prior_entropy: 2.3, relative_absolute_error: 0.7122, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4226, root_relative_squared_error: 1.1936, unweighted_recall: 0.2994,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, kappa: 0.1072, kb_relative_information_score: 0.221, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.18, weighted_recall: 0.1965, number_of_instances: 2000, predictive_accuracy: 0.1965, prior_entropy: 3.3219, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.9635, unweighted_recall: 0.1965,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set cnae-9
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.8358, kappa: 0.8115, kb_relative_information_score: 0.6641, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1975, weighted_recall: 0.8324, number_of_instances: 1080, precision: 0.8685, predictive_accuracy: 0.8324, prior_entropy: 3.1699, relative_absolute_error: 0.4908, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.5991, unweighted_recall: 0.8324,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(colu ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set first-order-theorem-proving
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.5343, kappa: 0.3812, kb_relative_information_score: 0.4026, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5548, number_of_instances: 6118, precision: 0.5337, predictive_accuracy: 0.5548, prior_entropy: 2.3, relative_absolute_error: 0.5918, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3852, root_relative_squared_error: 1.088, unweighted_recall: 0.4179,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier)(22) on task Supervised Classification on data set first-order-theorem-proving
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.5561, kappa: 0.4094, kb_relative_information_score: 0.4253, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5543, number_of_instances: 6118, precision: 0.5582, predictive_accuracy: 0.5543, prior_entropy: 2.3, relative_absolute_error: 0.5941, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3819, root_relative_squared_error: 1.0786, unweighted_recall: 0.4598,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier)(22) on task Supervised Classification on data set nomao
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.9482, kappa: 0.873, kb_relative_information_score: 0.8624, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9482, number_of_instances: 34465, precision: 0.9482, predictive_accuracy: 0.9482, prior_entropy: 0.863, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.5036, unweighted_recall: 0.9361,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier)(22) on task Supervised Classification on data set electricity
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8923, kappa: 0.7797, kb_relative_information_score: 0.7774, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8923, number_of_instances: 45312, precision: 0.8924, predictive_accuracy: 0.8923, prior_entropy: 0.9835, relative_absolute_error: 0.2204, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.6639, unweighted_recall: 0.8899,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier)(22) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9618, kappa: 0.9575, kb_relative_information_score: 0.96, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, weighted_recall: 0.9618, number_of_instances: 10992, precision: 0.9619, predictive_accuracy: 0.9618, prior_entropy: 3.3208, relative_absolute_error: 0.0425, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.2914, unweighted_recall: 0.9618,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set har
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.7353, kappa: 0.6891, kb_relative_information_score: 0.7184, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.2771, weighted_recall: 0.7408, number_of_instances: 10299, precision: 0.7897, predictive_accuracy: 0.7408, prior_entropy: 2.5759, relative_absolute_error: 0.3116, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.7841, unweighted_recall: 0.7478,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set madelon
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.7635, kappa: 0.5269, kb_relative_information_score: 0.5269, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.5, weighted_recall: 0.7635, number_of_instances: 2600, precision: 0.7635, predictive_accuracy: 0.7635, prior_entropy: 1, relative_absolute_error: 0.4731, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9727, unweighted_recall: 0.7635,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set nomao
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.9477, kappa: 0.8717, kb_relative_information_score: 0.861, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9477, number_of_instances: 34465, precision: 0.9476, predictive_accuracy: 0.9477, prior_entropy: 0.863, relative_absolute_error: 0.1282, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.5063, unweighted_recall: 0.9353,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set ozone-level-8hr
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7706, kappa: 0.1613, kb_relative_information_score: -2.7666, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.1186, weighted_recall: 0.6914, number_of_instances: 2534, precision: 0.9297, predictive_accuracy: 0.6914, prior_entropy: 0.3398, relative_absolute_error: 2.6049, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.5502, root_relative_squared_error: 2.2622, unweighted_recall: 0.7508,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set phoneme
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.7678, kappa: 0.4657, kb_relative_information_score: 0.2877, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7605, number_of_instances: 5404, precision: 0.785, predictive_accuracy: 0.7605, prior_entropy: 0.8732, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.9409, unweighted_recall: 0.7517,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set breast-w
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9602, kappa: 0.9127, kb_relative_information_score: 0.9075, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9599, number_of_instances: 699, precision: 0.9616, predictive_accuracy: 0.9599, prior_entropy: 0.9293, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4183, unweighted_recall: 0.9635,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set semeion
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.7549, kappa: 0.7307, kb_relative_information_score: 0.7462, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.18, weighted_recall: 0.7577, number_of_instances: 1593, precision: 0.7547, predictive_accuracy: 0.7577, prior_entropy: 3.3218, relative_absolute_error: 0.2692, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.7338, unweighted_recall: 0.7566,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set wdbc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9381, kappa: 0.8668, kb_relative_information_score: 0.8659, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9385, number_of_instances: 569, precision: 0.9387, predictive_accuracy: 0.9385, prior_entropy: 0.9526, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.4914, unweighted_recall: 0.928,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set wdbc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.9333, kappa: 0.8574, kb_relative_information_score: 0.853, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9332, number_of_instances: 569, precision: 0.9334, predictive_accuracy: 0.9332, prior_entropy: 0.9526, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.5345, unweighted_recall: 0.9295,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set isolet
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8119, kappa: 0.8042, kb_relative_information_score: 0.8095, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.074, weighted_recall: 0.8117, number_of_instances: 7797, precision: 0.8123, predictive_accuracy: 0.8117, prior_entropy: 4.7004, relative_absolute_error: 0.1958, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.6258, unweighted_recall: 0.8117,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8537, kappa: 0.841, kb_relative_information_score: 0.8532, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.18, weighted_recall: 0.8569, number_of_instances: 10992, precision: 0.8629, predictive_accuracy: 0.8569, prior_entropy: 3.3208, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.5357, unweighted_recall: 0.8557,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7559, kappa: 0.4572, kb_relative_information_score: 0.3634, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7591, number_of_instances: 768, precision: 0.7547, predictive_accuracy: 0.7591, prior_entropy: 0.9331, relative_absolute_error: 0.6328, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8859, unweighted_recall: 0.7232,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.3999, kappa: 0.3484, kb_relative_information_score: 0.4145, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.2223, weighted_recall: 0.459, number_of_instances: 1941, precision: 0.5346, predictive_accuracy: 0.459, prior_entropy: 2.4107, relative_absolute_error: 0.7237, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3498, root_relative_squared_error: 1.0492, unweighted_recall: 0.5019,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set segment
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9172, kappa: 0.9035, kb_relative_information_score: 0.9101, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.2449, weighted_recall: 0.9173, number_of_instances: 2310, precision: 0.9172, predictive_accuracy: 0.9173, prior_entropy: 2.8074, relative_absolute_error: 0.0988, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.437, unweighted_recall: 0.9173,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set spambase
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8231, kappa: 0.6485, kb_relative_information_score: 0.6196, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4776, weighted_recall: 0.8213, number_of_instances: 4601, precision: 0.8597, predictive_accuracy: 0.8213, prior_entropy: 0.9674, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.859, unweighted_recall: 0.8452,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(colu ... orest.ExtraTreesClassifier)(2) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, kb_relative_information_score: 0.0849, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.3266, weighted_recall: 0.795, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.7318, relative_absolute_error: 0.9213, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.9335, unweighted_recall: 0.5,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(colu ... rn.naive_bayes.BernoulliNB)(2) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.6269, kappa: 0.25, kb_relative_information_score: -0.3789, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.3266, weighted_recall: 0.592, number_of_instances: 522, precision: 0.8255, predictive_accuracy: 0.592, prior_entropy: 0.7318, relative_absolute_error: 1.1629, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4586, root_relative_squared_error: 1.1359, unweighted_recall: 0.7087,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9475, kappa: 0.9417, kb_relative_information_score: 0.8571, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.18, weighted_recall: 0.9475, number_of_instances: 2000, precision: 0.9484, predictive_accuracy: 0.9475, prior_entropy: 3.3219, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.3829, unweighted_recall: 0.9475,
Sergey Redyuk 3 years ago
ran flow sklearn.naive_bayes.GaussianNB(22) on task Supervised Classification on data set qsar-biodeg
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.7129, kappa: 0.4442, kb_relative_information_score: 0.3215, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.4472, weighted_recall: 0.7071, number_of_instances: 1055, precision: 0.8065, predictive_accuracy: 0.7071, prior_entropy: 0.9223, relative_absolute_error: 0.6466, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5335, root_relative_squared_error: 1.1284, unweighted_recall: 0.7617,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier)(22) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.603, f_measure: 0.7885, kappa: 0.3434, kb_relative_information_score: 0.2172, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.3266, weighted_recall: 0.7912, number_of_instances: 522, precision: 0.7862, predictive_accuracy: 0.7912, prior_entropy: 0.7318, relative_absolute_error: 0.6855, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4592, root_relative_squared_error: 1.1375, unweighted_recall: 0.6675,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier)(22) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6217, f_measure: 0.7961, kappa: 0.3667, kb_relative_information_score: 0.2383, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.3266, weighted_recall: 0.7987, number_of_instances: 5220, precision: 0.7938, predictive_accuracy: 0.7987, prior_entropy: 0.7318, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4506, root_relative_squared_error: 1.1162, unweighted_recall: 0.6788,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier)(22) on task Supervised Classification on data set phoneme
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.8742, kappa: 0.6965, kb_relative_information_score: 0.6734, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8744, number_of_instances: 5404, precision: 0.8741, predictive_accuracy: 0.8744, prior_entropy: 0.8732, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.7784, unweighted_recall: 0.8477,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier)(22) on task Supervised Classification on data set breast-w
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9468, kappa: 0.8818, kb_relative_information_score: 0.8778, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9471, number_of_instances: 699, precision: 0.9469, predictive_accuracy: 0.9471, prior_entropy: 0.9293, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.4841, unweighted_recall: 0.937,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ee.DecisionTreeClassifier)(22) on task Supervised Classification on data set letter
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8821, kappa: 0.8773, kb_relative_information_score: 0.8805, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, weighted_recall: 0.882, number_of_instances: 20000, precision: 0.8822, predictive_accuracy: 0.882, prior_entropy: 4.6998, relative_absolute_error: 0.1227, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0953, root_relative_squared_error: 0.4954, unweighted_recall: 0.8817,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.8213, kappa: 0.4126, kb_relative_information_score: 0.4239, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8391, number_of_instances: 522, precision: 0.8241, predictive_accuracy: 0.8391, prior_entropy: 0.7318, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.9912, unweighted_recall: 0.6734,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7128, kappa: 0.1502, kb_relative_information_score: 0.1399, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.363, weighted_recall: 0.7513, number_of_instances: 748, precision: 0.7062, predictive_accuracy: 0.7513, prior_entropy: 0.7916, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.0101, unweighted_recall: 0.5606,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set first-order-theorem-proving
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.1408, kappa: 0.0607, kb_relative_information_score: 0.0586, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.2508, weighted_recall: 0.1731, number_of_instances: 6118, precision: 0.3817, predictive_accuracy: 0.1731, prior_entropy: 2.3, relative_absolute_error: 1.0977, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.4363, unweighted_recall: 0.2368,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set first-order-theorem-proving
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.5553, kappa: 0.4083, kb_relative_information_score: 0.4233, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.2508, weighted_recall: 0.553, number_of_instances: 6118, precision: 0.5579, predictive_accuracy: 0.553, prior_entropy: 2.3, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3827, root_relative_squared_error: 1.0807, unweighted_recall: 0.4586,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6211, f_measure: 0.79, kappa: 0.3579, kb_relative_information_score: 0.2112, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.3266, weighted_recall: 0.7893, number_of_instances: 522, precision: 0.7907, predictive_accuracy: 0.7893, prior_entropy: 0.7318, relative_absolute_error: 0.6902, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4612, root_relative_squared_error: 1.1424, unweighted_recall: 0.6802,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set ozone-level-8hr
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5828, f_measure: 0.8979, kappa: 0.1578, kb_relative_information_score: -0.2533, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1186, weighted_recall: 0.8954, number_of_instances: 2534, precision: 0.9004, predictive_accuracy: 0.8954, prior_entropy: 0.3398, relative_absolute_error: 0.8817, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.3234, root_relative_squared_error: 1.3296, unweighted_recall: 0.5828,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set phoneme
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.8724, kappa: 0.6923, kb_relative_information_score: 0.6681, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8723, number_of_instances: 5404, precision: 0.8724, predictive_accuracy: 0.8723, prior_entropy: 0.8732, relative_absolute_error: 0.3079, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7847, unweighted_recall: 0.8464,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set wall-robot-navigation
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.5298, kappa: 0.3601, kb_relative_information_score: 0.4146, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.3312, weighted_recall: 0.526, number_of_instances: 5456, precision: 0.6265, predictive_accuracy: 0.526, prior_entropy: 1.7146, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4371, root_relative_squared_error: 1.0741, unweighted_recall: 0.6639,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7329, kappa: 0.7044, kb_relative_information_score: 0.758, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.18, weighted_recall: 0.734, number_of_instances: 2000, precision: 0.7328, predictive_accuracy: 0.734, prior_entropy: 3.3219, relative_absolute_error: 0.2965, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.6757, unweighted_recall: 0.734,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set cmc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.4694, kappa: 0.2172, kb_relative_information_score: 0.2227, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4308, weighted_recall: 0.4684, number_of_instances: 1473, precision: 0.5103, predictive_accuracy: 0.4684, prior_entropy: 1.539, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4816, root_relative_squared_error: 1.0376, unweighted_recall: 0.4937,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set connect-4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.7404, kappa: 0.4762, kb_relative_information_score: 0.4413, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.3313, weighted_recall: 0.7403, number_of_instances: 67557, precision: 0.7405, predictive_accuracy: 0.7403, prior_entropy: 1.2184, relative_absolute_error: 0.5226, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.4161, root_relative_squared_error: 1.0224, unweighted_recall: 0.5828,