OpenML

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set breast-w

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9672, kappa: 0.9275, kb_relative_information_score: 596.2083, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9674, predictive_accuracy: 0.9671, prior_entropy: 0.9297, recall: 0.9671, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3662,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set breast-w

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9743, kappa: 0.9434, kb_relative_information_score: 592.3328, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9747, predictive_accuracy: 0.9742, prior_entropy: 0.9297, recall: 0.9742, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.3548,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set breast-w

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9743, kappa: 0.9434, kb_relative_information_score: 592.3328, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9747, predictive_accuracy: 0.9742, prior_entropy: 0.9297, recall: 0.9742, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.3548,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set breast-w

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9729, kappa: 0.9402, kb_relative_information_score: 597.2046, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9732, predictive_accuracy: 0.9728, prior_entropy: 0.9297, recall: 0.9728, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3513,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set Bioresponse

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8088, kappa: 0.6145, kb_relative_information_score: 1612.5379, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8089, predictive_accuracy: 0.8091, prior_entropy: 0.9948, recall: 0.8091, relative_absolute_error: 0.605, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7537,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set Bioresponse

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.809, kappa: 0.6149, kb_relative_information_score: 1649.4629, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.5947, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7482,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set Bioresponse

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8123, kappa: 0.6214, kb_relative_information_score: 1698.8996, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8124, predictive_accuracy: 0.8126, prior_entropy: 0.9948, recall: 0.8126, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.749,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.6816, kappa: 0.5884, kb_relative_information_score: 4627.7776, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6962, predictive_accuracy: 0.6916, prior_entropy: 2.1936, recall: 0.6916, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.7617,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set Bioresponse

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.807, kappa: 0.6109, kb_relative_information_score: 1660.0823, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.807, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.5916, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7474,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.6927, kappa: 0.6029, kb_relative_information_score: 4670.2259, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7096, predictive_accuracy: 0.7028, prior_entropy: 2.1936, recall: 0.7028, relative_absolute_error: 0.6503, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.7564,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set Bioresponse

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8059, kappa: 0.6087, kb_relative_information_score: 1695.0602, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7448,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.6929, kappa: 0.6025, kb_relative_information_score: 4781.1407, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7064, predictive_accuracy: 0.7019, prior_entropy: 2.1936, recall: 0.7019, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.7516,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set Bioresponse

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.8092, kappa: 0.6152, kb_relative_information_score: 1672.8279, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.745,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set Bioresponse

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8108, kappa: 0.6186, kb_relative_information_score: 1689.6171, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8108, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.5823, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7489,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.6865, kappa: 0.5951, kb_relative_information_score: 4617.5928, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7042, predictive_accuracy: 0.6971, prior_entropy: 2.1936, recall: 0.6971, relative_absolute_error: 0.6547, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.7614,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set Bioresponse

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.806, kappa: 0.6089, kb_relative_information_score: 1690.4931, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.5822, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7457,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set madelon

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.8673, kappa: 0.7346, kb_relative_information_score: 1285.9036, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8673, predictive_accuracy: 0.8673, prior_entropy: 1, recall: 0.8673, relative_absolute_error: 0.5523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.6679,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set Bioresponse

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8086, kappa: 0.6142, kb_relative_information_score: 1707.1304, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8086, predictive_accuracy: 0.8089, prior_entropy: 0.9948, recall: 0.8089, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.7473,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.6937, kappa: 0.6043, kb_relative_information_score: 4579.4006, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7145, predictive_accuracy: 0.7043, prior_entropy: 2.1936, recall: 0.7043, relative_absolute_error: 0.6608, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.7605,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-fourier

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.84, kappa: 0.8233, kb_relative_information_score: 1578.2371, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.84, predictive_accuracy: 0.841, prior_entropy: 3.3219, recall: 0.841, relative_absolute_error: 0.3522, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.5192,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-factors

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9705, kappa: 0.9672, kb_relative_information_score: 1818.7098, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9708, predictive_accuracy: 0.9705, prior_entropy: 3.3219, recall: 0.9705, relative_absolute_error: 0.1718, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.2971,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.6865, kappa: 0.5951, kb_relative_information_score: 4617.5928, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7042, predictive_accuracy: 0.6971, prior_entropy: 2.1936, recall: 0.6971, relative_absolute_error: 0.6547, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.7614,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set dna

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9556, kappa: 0.9278, kb_relative_information_score: 2151.8534, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9558, predictive_accuracy: 0.9557, prior_entropy: 1.48, recall: 0.9557, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.5031,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-factors

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.97, kappa: 0.9667, kb_relative_information_score: 1809.3033, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9703, predictive_accuracy: 0.97, prior_entropy: 3.3219, recall: 0.97, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.3042,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.6939, kappa: 0.6043, kb_relative_information_score: 4670.175, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7111, predictive_accuracy: 0.7038, prior_entropy: 2.1936, recall: 0.7038, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.7549,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set first-order-theorem-proving

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.6234, kappa: 0.5018, kb_relative_information_score: 2692.8852, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6183, predictive_accuracy: 0.6362, prior_entropy: 2.3005, recall: 0.6362, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.288, root_relative_squared_error: 0.8133,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set texture

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9809, kappa: 0.979, kb_relative_information_score: 5248.1549, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.981, predictive_accuracy: 0.9809, prior_entropy: 3.4594, recall: 0.9809, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0629, root_relative_squared_error: 0.2188,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set first-order-theorem-proving

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.6262, kappa: 0.5054, kb_relative_information_score: 2690.9417, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6216, predictive_accuracy: 0.6389, prior_entropy: 2.3005, recall: 0.6389, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.8132,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set first-order-theorem-proving

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.6174, kappa: 0.4936, kb_relative_information_score: 2759.0317, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6123, predictive_accuracy: 0.6293, prior_entropy: 2.3005, recall: 0.6293, relative_absolute_error: 0.6347, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.8176,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set texture

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9806, kappa: 0.9786, kb_relative_information_score: 5179.0079, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9807, predictive_accuracy: 0.9805, prior_entropy: 3.4594, recall: 0.9805, relative_absolute_error: 0.1214, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0693, root_relative_squared_error: 0.2409,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set texture

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9777, kappa: 0.9754, kb_relative_information_score: 5255.1647, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9778, predictive_accuracy: 0.9776, prior_entropy: 3.4594, recall: 0.9776, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2225,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set texture

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.981, kappa: 0.979, kb_relative_information_score: 5240.5629, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.981, predictive_accuracy: 0.9809, prior_entropy: 3.4594, recall: 0.9809, relative_absolute_error: 0.0966, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0635, root_relative_squared_error: 0.221,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-fourier

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.8457, kappa: 0.8294, kb_relative_information_score: 1603.7576, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.846, predictive_accuracy: 0.8465, prior_entropy: 3.3219, recall: 0.8465, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.5082,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set dna

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9567, kappa: 0.9294, kb_relative_information_score: 2325.542, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9568, predictive_accuracy: 0.9567, prior_entropy: 1.48, recall: 0.9567, relative_absolute_error: 0.3575, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4565,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set texture

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9791, kappa: 0.977, kb_relative_information_score: 5195.1066, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9792, predictive_accuracy: 0.9791, prior_entropy: 3.4594, recall: 0.9791, relative_absolute_error: 0.1138, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0684, root_relative_squared_error: 0.2381,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set MiceProtein

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 955.3177, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.989, predictive_accuracy: 0.9889, prior_entropy: 2.9931, recall: 0.9889, relative_absolute_error: 0.2234, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1032, root_relative_squared_error: 0.3124,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set jm1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.7806, kappa: 0.2228, kb_relative_information_score: 842.0613, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.791, predictive_accuracy: 0.8203, prior_entropy: 0.7088, recall: 0.8203, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9166,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set Bioresponse

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.8057, kappa: 0.6083, kb_relative_information_score: 1572.7012, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8057, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.6166, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7539,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set MiceProtein

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9907, kappa: 0.9894, kb_relative_information_score: 931.2734, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9909, predictive_accuracy: 0.9907, prior_entropy: 2.9931, recall: 0.9907, relative_absolute_error: 0.2688, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.3326,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-factors

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.971, kappa: 0.9678, kb_relative_information_score: 1808.653, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9713, predictive_accuracy: 0.971, prior_entropy: 3.3219, recall: 0.971, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.3051,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set optdigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9826, kappa: 0.9806, kb_relative_information_score: 5097.3962, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9826, predictive_accuracy: 0.9826, prior_entropy: 3.3218, recall: 0.9826, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.2887,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set ozone-level-8hr

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.9244, kappa: 0.2424, kb_relative_information_score: -556.5963, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9247, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8577,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set ozone-level-8hr

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.9241, kappa: 0.2287, kb_relative_information_score: -615.2526, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7669, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.853,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-fourier

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.8511, kappa: 0.835, kb_relative_information_score: 1611.0419, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8514, predictive_accuracy: 0.8515, prior_entropy: 3.3219, recall: 0.8515, relative_absolute_error: 0.3241, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.506,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set satimage

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9198, kappa: 0.9032, kb_relative_information_score: 5605.533, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9199, predictive_accuracy: 0.9218, prior_entropy: 2.4836, recall: 0.9218, relative_absolute_error: 0.1852, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.3897,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-fourier

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.8427, kappa: 0.8256, kb_relative_information_score: 1613.5331, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8434, predictive_accuracy: 0.843, prior_entropy: 3.3219, recall: 0.843, relative_absolute_error: 0.3195, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.5069,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set semeion

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9285, kappa: 0.9205, kb_relative_information_score: 1234.6224, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.93, predictive_accuracy: 0.9284, prior_entropy: 3.3218, recall: 0.9284, relative_absolute_error: 0.3858, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.4913,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set cnae-9

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9127, kappa: 0.901, kb_relative_information_score: 941.7954, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9141, predictive_accuracy: 0.912, prior_entropy: 3.1699, recall: 0.912, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.3874,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set ozone-level-8hr

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.9241, kappa: 0.2323, kb_relative_information_score: -520.8838, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9266, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.748, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8513,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9687, kappa: 0.949, kb_relative_information_score: 2353.5299, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 1.4804, recall: 0.9687, relative_absolute_error: 0.3542, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4386,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set spambase

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9549, kappa: 0.9054, kb_relative_information_score: 3761.9487, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.955, predictive_accuracy: 0.955, prior_entropy: 0.9674, recall: 0.955, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.3918,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.7494, kappa: 0.379, kb_relative_information_score: 192.8385, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7593, predictive_accuracy: 0.77, prior_entropy: 0.8818, recall: 0.77, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8809,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set churn

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.9528, kappa: 0.7989, kb_relative_information_score: 3107.0151, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9533, predictive_accuracy: 0.9546, prior_entropy: 0.5883, recall: 0.9546, relative_absolute_error: 0.37, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.5715,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.6978, kappa: 0.6091, kb_relative_information_score: 4717.2683, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7147, predictive_accuracy: 0.7073, prior_entropy: 2.1936, recall: 0.7073, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.7516,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set analcatdata_authorship

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9913, kb_relative_information_score: 741.912, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.2631,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set optdigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9817, kappa: 0.9796, kb_relative_information_score: 5230.2038, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9817, predictive_accuracy: 0.9817, prior_entropy: 3.3218, recall: 0.9817, relative_absolute_error: 0.1361, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.2528,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.6934, kappa: 0.6033, kb_relative_information_score: 4775.3749, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7069, predictive_accuracy: 0.7025, prior_entropy: 2.1936, recall: 0.7025, relative_absolute_error: 0.6378, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.7522,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set ozone-level-8hr

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.9291, kappa: 0.2907, kb_relative_information_score: -607.2616, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9326, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.8531,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.7347, kappa: 0.3412, kb_relative_information_score: 187.7625, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7497, predictive_accuracy: 0.761, prior_entropy: 0.8818, recall: 0.761, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8823,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set texture

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9806, kappa: 0.9786, kb_relative_information_score: 5232.5021, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9807, predictive_accuracy: 0.9805, prior_entropy: 3.4594, recall: 0.9805, relative_absolute_error: 0.0999, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0642, root_relative_squared_error: 0.2235,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set cnae-9

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.918, kappa: 0.9073, kb_relative_information_score: 929.5547, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9191, predictive_accuracy: 0.9176, prior_entropy: 3.1699, recall: 0.9176, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.3975,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set semeion

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9324, kappa: 0.9247, kb_relative_information_score: 1253.768, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9335, predictive_accuracy: 0.9322, prior_entropy: 3.3218, recall: 0.9322, relative_absolute_error: 0.3662, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.4788,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set letter

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9655, kappa: 0.9641, kb_relative_information_score: 18156.459, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9658, predictive_accuracy: 0.9655, prior_entropy: 4.6998, recall: 0.9655, relative_absolute_error: 0.2108, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0674, root_relative_squared_error: 0.3503,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set dna

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9517, kappa: 0.9213, kb_relative_information_score: 2502.45, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9518, predictive_accuracy: 0.9517, prior_entropy: 1.48, recall: 0.9517, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.4305,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9081, kappa: 0.7776, kb_relative_information_score: 3386.6024, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9079, predictive_accuracy: 0.9084, prior_entropy: 0.8733, recall: 0.9084, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.5788,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set analcatdata_dmft

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.2065, kappa: 0.0526, kb_relative_information_score: 46.5088, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2139, predictive_accuracy: 0.2171, prior_entropy: 2.5803, recall: 0.2171, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9936,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9665, kappa: 0.9455, kb_relative_information_score: 2225.0318, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9665, predictive_accuracy: 0.9665, prior_entropy: 1.4804, recall: 0.9665, relative_absolute_error: 0.4066, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4758,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set Bioresponse

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.8072, kappa: 0.6112, kb_relative_information_score: 1657.043, mean_absolute_error: 0.2942, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8073, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.5927, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7463,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-morphological

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.7136, kappa: 0.6828, kb_relative_information_score: 1491.378, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7157, predictive_accuracy: 0.7145, prior_entropy: 3.3219, recall: 0.7145, relative_absolute_error: 0.3937, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.6223,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set jm1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.7818, kappa: 0.228, kb_relative_information_score: 792.3479, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7905, predictive_accuracy: 0.8201, prior_entropy: 0.7088, recall: 0.8201, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9207,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set MiceProtein

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9944, kappa: 0.9936, kb_relative_information_score: 949.1723, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9946, predictive_accuracy: 0.9944, prior_entropy: 2.9931, recall: 0.9944, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1011, root_relative_squared_error: 0.306,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set optdigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9836, kappa: 0.9818, kb_relative_information_score: 5158.2907, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9837, predictive_accuracy: 0.9836, prior_entropy: 3.3218, recall: 0.9836, relative_absolute_error: 0.164, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.2696,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set semeion

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9336, kappa: 0.9261, kb_relative_information_score: 1256.186, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9345, predictive_accuracy: 0.9335, prior_entropy: 3.3218, recall: 0.9335, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.473,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 718.1375, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.306, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.3885,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set first-order-theorem-proving

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.6183, kappa: 0.4947, kb_relative_information_score: 2763.9994, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6134, predictive_accuracy: 0.6301, prior_entropy: 2.3005, recall: 0.6301, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.289, root_relative_squared_error: 0.8162,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pc3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.8649, kappa: 0.1378, kb_relative_information_score: -198.3501, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8593, predictive_accuracy: 0.8951, prior_entropy: 0.478, recall: 0.8951, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.9088,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set qsar-biodeg

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8597, kappa: 0.6826, kb_relative_information_score: 588.4164, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.86, predictive_accuracy: 0.8616, prior_entropy: 0.9226, recall: 0.8616, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.653,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set ilpd

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7423, f_measure: 0.659, kappa: 0.1239, kb_relative_information_score: 62.0362, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6604, predictive_accuracy: 0.7067, prior_entropy: 0.865, recall: 0.7067, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.419, root_relative_squared_error: 0.9267,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pc3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.8645, kappa: 0.1281, kb_relative_information_score: -245.1919, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8622, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.9128,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set Bioresponse

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8118, kappa: 0.6204, kb_relative_information_score: 1600.9037, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8119, predictive_accuracy: 0.8121, prior_entropy: 0.9948, recall: 0.8121, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7509,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set kc2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.8262, kappa: 0.4358, kb_relative_information_score: 137.8107, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8249, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6741, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.8442,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set churn

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.9512, kappa: 0.7923, kb_relative_information_score: 3152.0336, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9516, predictive_accuracy: 0.953, prior_entropy: 0.5883, recall: 0.953, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.5766,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set dresses-sales

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.5861, kappa: 0.1548, kb_relative_information_score: 34.0795, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6012, predictive_accuracy: 0.612, prior_entropy: 0.9816, recall: 0.612, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9791,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set spambase

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9577, kappa: 0.9113, kb_relative_information_score: 3704.3725, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.9674, recall: 0.9578, relative_absolute_error: 0.2202, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.3945,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set wall-robot-navigation

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5391.8202, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 1.7151, recall: 0.9967, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0385, root_relative_squared_error: 0.0945,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set wdbc

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9647, kappa: 0.9242, kb_relative_information_score: 488.6088, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.965, predictive_accuracy: 0.9649, prior_entropy: 0.953, recall: 0.9649, relative_absolute_error: 0.1544, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3571,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set optdigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9838, kappa: 0.982, kb_relative_information_score: 5120.3864, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9839, predictive_accuracy: 0.9838, prior_entropy: 3.3218, recall: 0.9838, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.2813,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set texture

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9811, kappa: 0.9792, kb_relative_information_score: 5248.9854, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9812, predictive_accuracy: 0.9811, prior_entropy: 3.4594, recall: 0.9811, relative_absolute_error: 0.0942, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0621, root_relative_squared_error: 0.2159,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.6865, kappa: 0.5951, kb_relative_information_score: 4621.8624, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7036, predictive_accuracy: 0.697, prior_entropy: 2.1936, recall: 0.697, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.298, root_relative_squared_error: 0.7612,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set segment

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9407, kappa: 0.9308, kb_relative_information_score: 2128.3276, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9409, predictive_accuracy: 0.9407, prior_entropy: 2.8074, recall: 0.9407, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.3237,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set optdigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9822, kappa: 0.9802, kb_relative_information_score: 5100.0166, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9823, predictive_accuracy: 0.9822, prior_entropy: 3.3218, recall: 0.9822, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.2882,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set optdigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9834, kappa: 0.9816, kb_relative_information_score: 5123.2789, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9835, predictive_accuracy: 0.9835, prior_entropy: 3.3218, recall: 0.9835, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.2807,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set texture

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9777, kappa: 0.9754, kb_relative_information_score: 5236.9121, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9778, predictive_accuracy: 0.9776, prior_entropy: 3.4594, recall: 0.9776, relative_absolute_error: 0.0956, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.23,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set optdigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9838, kappa: 0.982, kb_relative_information_score: 5211.7423, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9839, predictive_accuracy: 0.9838, prior_entropy: 3.3218, recall: 0.9838, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.2528,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set credit-approval

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8594, kappa: 0.7153, kb_relative_information_score: 374.9257, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8594, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.4937, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6559,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.9241, kappa: 0.3249, kb_relative_information_score: -294.9708, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9231, predictive_accuracy: 0.9369, prior_entropy: 0.3667, recall: 0.9369, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.9039,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-pixel

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.978, kappa: 0.9756, kb_relative_information_score: 1842.0919, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9781, predictive_accuracy: 0.978, prior_entropy: 3.3219, recall: 0.978, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0821, root_relative_squared_error: 0.2735,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set wilt

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9838, kappa: 0.8379, kb_relative_information_score: 3113.6302, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9836, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.4699,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.7456, kappa: 0.4315, kb_relative_information_score: 241.8393, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.745, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8429,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-zernike

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.7753, kappa: 0.7539, kb_relative_information_score: 1387.7535, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7729, predictive_accuracy: 0.7785, prior_entropy: 3.3219, recall: 0.7785, relative_absolute_error: 0.448, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.193, root_relative_squared_error: 0.6434,

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