OpenML

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: 0.9321, f_measure: 0.8673, kappa: 0.7346, kb_relative_information_score: 1270.1971, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8674, predictive_accuracy: 0.8673, prior_entropy: 1, recall: 0.8673, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6715,

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: 0.8744, f_measure: 0.6184, kappa: 0.4952, kb_relative_information_score: 2641.1027, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6141, predictive_accuracy: 0.6327, prior_entropy: 2.3005, recall: 0.6327, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.8138,

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: 592.2842, mean_absolute_error: 0.0782, 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: 0.173, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3536,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, kappa: 0.7389, kb_relative_information_score: 271.1839, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8592, prior_entropy: 1.3212, recall: 0.8592, relative_absolute_error: 0.5702, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.6847,

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: 0.9995, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 781.6686, mean_absolute_error: 0.1032, 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: 0.2278, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3177,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9849, kappa: 0.9672, kb_relative_information_score: 1647.9047, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9851, predictive_accuracy: 0.985, prior_entropy: 1.2099, recall: 0.985, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.2141,

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: 0.8104, f_measure: 0.8227, kappa: 0.4223, kb_relative_information_score: 133.7622, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8221, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6827, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.848,

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: 0.741, f_measure: 0.6591, kappa: 0.1253, kb_relative_information_score: 61.7006, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6686, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.8578, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.925,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1312.8688, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.1516,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8696, kappa: 0.7359, kb_relative_information_score: 424.1669, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8696, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6311,

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: 0.6986, kappa: 0.6098, kb_relative_information_score: 4746.4687, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7152, predictive_accuracy: 0.7078, prior_entropy: 2.1936, recall: 0.7078, relative_absolute_error: 0.6428, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.7504,

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: 0.7366, f_measure: 0.6536, kappa: 0.1136, kb_relative_information_score: 65.4577, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.644, predictive_accuracy: 0.6844, prior_entropy: 0.865, recall: 0.6844, relative_absolute_error: 0.8431, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.9315,

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: 0.9926, f_measure: 0.9729, kappa: 0.9404, kb_relative_information_score: 597.415, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9734, predictive_accuracy: 0.9728, prior_entropy: 0.9297, recall: 0.9728, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3476,

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: 0.7373, f_measure: 0.6462, kappa: 0.0945, kb_relative_information_score: 57.5672, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6579, predictive_accuracy: 0.7101, prior_entropy: 0.865, recall: 0.7101, relative_absolute_error: 0.8632, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.9272,

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: 0.7858, f_measure: 0.7443, kappa: 0.367, kb_relative_information_score: 194.7063, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7513, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.7987, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8836,

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: 0.5535, f_measure: 0.1957, kappa: 0.0353, kb_relative_information_score: 60.0876, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1982, predictive_accuracy: 0.2008, prior_entropy: 2.5803, recall: 0.2008, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3779, root_relative_squared_error: 1.0146,

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: 0.8539, f_measure: 0.9161, kappa: 0.2512, kb_relative_information_score: -270.5584, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9118, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.234, root_relative_squared_error: 0.9205,

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: 0.9903, f_measure: 0.9665, kappa: 0.9281, kb_relative_information_score: 487.193, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9667, predictive_accuracy: 0.9666, prior_entropy: 0.953, recall: 0.9666, relative_absolute_error: 0.1561, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.3649,

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: 0.8585, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -274.0965, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.7958, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.9061,

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: 0.9998, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 687.2976, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.2755, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.3413,

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: 0.7551, f_measure: 0.6715, kappa: 0.1571, kb_relative_information_score: 71.0044, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6684, predictive_accuracy: 0.7067, prior_entropy: 0.865, recall: 0.7067, relative_absolute_error: 0.8432, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.9167,

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: 0.9612, f_measure: 0.7145, kappa: 0.6844, kb_relative_information_score: 1490.9462, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7168, predictive_accuracy: 0.716, prior_entropy: 3.3219, recall: 0.716, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.6273,

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: 0.9919, f_measure: 0.9743, kappa: 0.9434, kb_relative_information_score: 589.771, mean_absolute_error: 0.0801, 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: 0.1773, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.3561,

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: 0.9924, f_measure: 0.97, kappa: 0.9338, kb_relative_information_score: 603.2571, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 0.9297, recall: 0.97, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.3583,

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: 0.7363, f_measure: 0.641, kappa: 0.078, kb_relative_information_score: 60.5666, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6368, predictive_accuracy: 0.6947, prior_entropy: 0.865, recall: 0.6947, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.932,

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: 0.7391, f_measure: 0.6287, kappa: 0.0526, kb_relative_information_score: 58.4256, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.633, predictive_accuracy: 0.7015, prior_entropy: 0.865, recall: 0.7015, relative_absolute_error: 0.8639, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.9273,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set kc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.8314, kappa: 0.2832, kb_relative_information_score: 173.7875, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8311, predictive_accuracy: 0.8568, prior_entropy: 0.622, recall: 0.8568, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.8844,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9947, kappa: 0.9893, kb_relative_information_score: 3126.8717, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.9986, recall: 0.9947, relative_absolute_error: 0.0246, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0692, root_relative_squared_error: 0.1385,

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: 0.9926, f_measure: 0.9729, kappa: 0.9402, kb_relative_information_score: 593.6829, mean_absolute_error: 0.0773, 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: 0.171, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3501,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, kappa: 0.7864, kb_relative_information_score: 267.0798, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8848, prior_entropy: 1.3212, recall: 0.8848, relative_absolute_error: 0.5828, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.6777,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, kappa: 0.7893, kb_relative_information_score: 258.2038, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8864, prior_entropy: 1.3212, recall: 0.8864, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6873,

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: 0.836, f_measure: 0.8636, kappa: 0.1205, kb_relative_information_score: -216.0131, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8616, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8279, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.9168,

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: 0.857, f_measure: 0.9205, kappa: 0.2901, kb_relative_information_score: -286.0658, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9182, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.9051,

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: 0.8578, f_measure: 0.9213, kappa: 0.3018, kb_relative_information_score: -297.7472, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9186, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.7878, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.8994,

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: 0.9966, f_measure: 0.9426, kappa: 0.9354, kb_relative_information_score: 931.123, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9431, predictive_accuracy: 0.9426, prior_entropy: 3.1699, recall: 0.9426, relative_absolute_error: 0.2362, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.3776,

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: 0.9873, f_measure: 0.9843, kappa: 0.8428, kb_relative_information_score: 3187.5579, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9842, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.4883,

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: 0.9743, kappa: 0.9434, kb_relative_information_score: 588.8206, mean_absolute_error: 0.0814, 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: 0.1801, 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 madelon

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.865, kappa: 0.73, kb_relative_information_score: 1275.0365, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8651, predictive_accuracy: 0.865, prior_entropy: 1, recall: 0.865, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6699,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, kappa: 0.7923, kb_relative_information_score: 266.9053, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.888, prior_entropy: 1.3212, recall: 0.888, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.6792,

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: 0.9958, f_measure: 0.9389, kappa: 0.9288, kb_relative_information_score: 2120.4484, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9391, predictive_accuracy: 0.939, prior_entropy: 2.8074, recall: 0.939, relative_absolute_error: 0.1273, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.3272,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, kappa: 0.7953, kb_relative_information_score: 288.9525, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8896, prior_entropy: 1.3212, recall: 0.8896, relative_absolute_error: 0.5363, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2856, root_relative_squared_error: 0.6557,

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: 0.8469, f_measure: 0.8678, kappa: 0.1535, kb_relative_information_score: -225.8345, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8669, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.8203, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.9044,

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: 0.9645, f_measure: 0.9121, kappa: 0.7874, kb_relative_information_score: 3500.0732, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9119, predictive_accuracy: 0.9125, prior_entropy: 0.8733, recall: 0.9125, relative_absolute_error: 0.3679, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.5675,

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: 0.7339, f_measure: 0.6696, kappa: 0.156, kb_relative_information_score: 62.0113, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6622, predictive_accuracy: 0.6964, prior_entropy: 0.865, recall: 0.6964, relative_absolute_error: 0.8481, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.9344,

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: 0.9874, f_measure: 0.9805, kappa: 0.8005, kb_relative_information_score: 2962.213, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9806, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.2888, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.5008,

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: 0.99, f_measure: 0.9836, kappa: 0.8361, kb_relative_information_score: 3152.9314, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9834, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2393, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.108, root_relative_squared_error: 0.4782,

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: 0.8417, f_measure: 0.8612, kappa: 0.0986, kb_relative_information_score: -229.9691, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.862, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8302, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.9134,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9898, kappa: 0.9109, kb_relative_information_score: 2929.4109, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9898, predictive_accuracy: 0.9899, prior_entropy: 0.3333, recall: 0.9899, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3783,

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: 0.9978, f_measure: 0.9529, kappa: 0.9477, kb_relative_information_score: 1246.7428, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9533, predictive_accuracy: 0.9529, prior_entropy: 3.3218, recall: 0.9529, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.4747,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.8105, kappa: 0.7545, kb_relative_information_score: 1425.7798, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8119, predictive_accuracy: 0.8104, prior_entropy: 2.4138, recall: 0.8104, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.5872,

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: 0.8379, f_measure: 0.8649, kappa: 0.1339, kb_relative_information_score: -251.6354, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8613, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.9191,

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: 0.8738, f_measure: 0.9189, kappa: 0.2743, kb_relative_information_score: -246.9126, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9163, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.7717, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.8893,

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: 0.8459, f_measure: 0.8662, kappa: 0.1389, kb_relative_information_score: -221.2361, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8661, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.8253, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.9063,

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: 0.8113, f_measure: 0.8285, kappa: 0.4404, kb_relative_information_score: 138.9867, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8292, predictive_accuracy: 0.8429, prior_entropy: 0.734, recall: 0.8429, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.8467,

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: 0.9987, f_measure: 0.976, kappa: 0.9733, kb_relative_information_score: 1775.2016, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9763, predictive_accuracy: 0.976, prior_entropy: 3.3219, recall: 0.976, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0971, 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 spambase

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9545, kappa: 0.9045, kb_relative_information_score: 3756.7515, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9545, predictive_accuracy: 0.9546, prior_entropy: 0.9674, recall: 0.9546, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.3953,

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: 0.8458, f_measure: 0.9185, kappa: 0.2791, kb_relative_information_score: -300.2419, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9144, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.7868, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.9216,

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: 0.9099, f_measure: 0.9312, kappa: 0.3146, kb_relative_information_score: -436.2001, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9348, predictive_accuracy: 0.9451, prior_entropy: 0.3411, recall: 0.9451, relative_absolute_error: 0.7271, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.8424,

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: 0.9019, f_measure: 0.7846, kappa: 0.7639, kb_relative_information_score: 1422.0885, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7823, predictive_accuracy: 0.7875, prior_entropy: 3.3219, recall: 0.7875, relative_absolute_error: 0.4188, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.6614,

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: 0.9825, kappa: 0.9806, kb_relative_information_score: 5046.537, mean_absolute_error: 0.0364, 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: 0.2022, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.3021,

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: 0.9155, f_measure: 0.8536, kappa: 0.7036, kb_relative_information_score: 378.9419, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8536, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.4836, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.6733,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set blood-transfusion-service-center

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, f_measure: 0.7453, kappa: 0.2527, kb_relative_information_score: 85.6425, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7421, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.9359,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9923, kappa: 0.9914, kb_relative_information_score: 10700.9491, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 3.3208, recall: 0.9923, relative_absolute_error: 0.0551, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0466, root_relative_squared_error: 0.1555,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.662, kappa: 0.5675, kb_relative_information_score: 404.8248, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6719, predictive_accuracy: 0.6644, prior_entropy: 2.2629, recall: 0.6644, relative_absolute_error: 0.5634, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.7514,

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: 0.9902, f_measure: 0.9665, kappa: 0.9282, kb_relative_information_score: 489.3232, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9666, predictive_accuracy: 0.9666, prior_entropy: 0.953, recall: 0.9666, relative_absolute_error: 0.1527, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3575,

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: 0.9121, f_measure: 0.9261, kappa: 0.2529, kb_relative_information_score: -569.2978, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9306, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8527,

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: 0.9918, f_measure: 0.9643, kappa: 0.9209, kb_relative_information_score: 604.7346, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9643, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.3626,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.973, kappa: 0.9453, kb_relative_information_score: 10229.6873, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.9906, recall: 0.973, relative_absolute_error: 0.0802, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.2763,

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: 0.6273, f_measure: 0.5849, kappa: 0.1482, kb_relative_information_score: 34.9875, mean_absolute_error: 0.4576, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.594, predictive_accuracy: 0.606, prior_entropy: 0.9816, recall: 0.606, relative_absolute_error: 0.9392, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9819,

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: 0.9898, f_measure: 0.9842, kappa: 0.8415, kb_relative_information_score: 3173.5798, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.984, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2342, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.108, root_relative_squared_error: 0.4782,

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: 0.9322, f_measure: 0.8692, kappa: 0.7385, kb_relative_information_score: 1263.3145, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8693, predictive_accuracy: 0.8692, prior_entropy: 1, recall: 0.8692, relative_absolute_error: 0.5629, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6719,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.8301, kappa: 0.7483, kb_relative_information_score: 329.2917, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7989, predictive_accuracy: 0.864, prior_entropy: 1.3212, recall: 0.864, relative_absolute_error: 0.4696, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.6354,

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: 0.9641, f_measure: 0.9109, kappa: 0.7847, kb_relative_information_score: 3520.4888, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9108, predictive_accuracy: 0.9112, prior_entropy: 0.8733, recall: 0.9112, relative_absolute_error: 0.3626, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.567,

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: 0.9178, f_measure: 0.9242, kappa: 0.225, kb_relative_information_score: -472.1613, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9324, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7471, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8472,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set climate-model-simulation-crashes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.9224, kappa: 0.4397, kb_relative_information_score: 78.6801, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9238, predictive_accuracy: 0.9333, prior_entropy: 0.4254, recall: 0.9333, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.8044,

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: 0.9646, kappa: 0.9631, kb_relative_information_score: 18141.4594, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9649, predictive_accuracy: 0.9646, prior_entropy: 4.6998, recall: 0.9646, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.351,

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: 0.9998, f_measure: 0.9972, kappa: 0.9958, kb_relative_information_score: 5407.6455, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 1.7151, recall: 0.9973, relative_absolute_error: 0.0118, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0356, root_relative_squared_error: 0.0876,

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: 0.9935, kappa: 0.9926, kb_relative_information_score: 946.7803, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9936, predictive_accuracy: 0.9935, prior_entropy: 2.9931, recall: 0.9935, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.315,

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: 0.9904, f_measure: 0.9718, kappa: 0.9396, kb_relative_information_score: 489.2086, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.953, recall: 0.9719, relative_absolute_error: 0.1526, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3588,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.98, kappa: 0.9563, kb_relative_information_score: 1596.7766, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9806, predictive_accuracy: 0.9797, prior_entropy: 1.2099, recall: 0.9797, relative_absolute_error: 0.0985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.089, root_relative_squared_error: 0.2633,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9727, kappa: 0.9446, kb_relative_information_score: 10271.2791, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9727, predictive_accuracy: 0.9727, prior_entropy: 0.9906, recall: 0.9727, relative_absolute_error: 0.0751, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.2764,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8039, kappa: 0.7461, kb_relative_information_score: 1402.8872, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8057, predictive_accuracy: 0.8042, prior_entropy: 2.4138, recall: 0.8042, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.5977,

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: 0.8618, f_measure: 0.9221, kappa: 0.3131, kb_relative_information_score: -250.544, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9192, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.776, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.8965,

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: 0.9645, f_measure: 0.9121, kappa: 0.7874, kb_relative_information_score: 3500.0732, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9119, predictive_accuracy: 0.9125, prior_entropy: 0.8733, recall: 0.9125, relative_absolute_error: 0.3679, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.5675,

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: 0.9665, f_measure: 0.9146, kappa: 0.7931, kb_relative_information_score: 3547.5301, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9144, predictive_accuracy: 0.9151, prior_entropy: 0.8733, recall: 0.9151, relative_absolute_error: 0.3583, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5603,

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: 0.8147, f_measure: 0.8204, kappa: 0.418, kb_relative_information_score: 141.6321, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8182, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.338, root_relative_squared_error: 0.8373,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9747, kappa: 0.9722, kb_relative_information_score: 848.8864, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9748, predictive_accuracy: 0.9747, prior_entropy: 3.4594, recall: 0.9747, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.3809,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set blood-transfusion-service-center

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.7445, kappa: 0.2485, kb_relative_information_score: 89.2572, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7427, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8445, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.933,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1312.8688, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.1516,

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: 0.988, kappa: 0.9862, kb_relative_information_score: 944.0949, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9881, predictive_accuracy: 0.988, prior_entropy: 2.9931, recall: 0.988, relative_absolute_error: 0.2448, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.3215,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9732, kappa: 0.9457, kb_relative_information_score: 10251.5231, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9732, predictive_accuracy: 0.9732, prior_entropy: 0.9906, recall: 0.9732, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.2764,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.5524, kappa: 0.305, kb_relative_information_score: 357.6574, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5547, predictive_accuracy: 0.554, prior_entropy: 1.5392, recall: 0.554, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.9177,

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: 0.9877, f_measure: 0.9532, kappa: 0.9018, kb_relative_information_score: 3736.6526, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9532, predictive_accuracy: 0.9533, prior_entropy: 0.9674, recall: 0.9533, relative_absolute_error: 0.2098, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.3979,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.973, kappa: 0.9453, kb_relative_information_score: 10188.2406, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9731, predictive_accuracy: 0.973, prior_entropy: 0.9906, recall: 0.973, relative_absolute_error: 0.0845, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.2805,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9729, kappa: 0.9452, kb_relative_information_score: 10267.1354, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.9906, recall: 0.973, relative_absolute_error: 0.0758, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.2753,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9732, kappa: 0.9457, kb_relative_information_score: 10251.5231, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9732, predictive_accuracy: 0.9732, prior_entropy: 0.9906, recall: 0.9732, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.2764,

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: 0.9926, f_measure: 0.9527, kappa: 0.9231, kb_relative_information_score: 2666.4348, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9529, predictive_accuracy: 0.9526, prior_entropy: 1.48, recall: 0.9526, relative_absolute_error: 0.2144, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.3717,

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: 0.9884, f_measure: 0.9571, kappa: 0.9101, kb_relative_information_score: 3840.0269, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9571, predictive_accuracy: 0.9572, prior_entropy: 0.9674, recall: 0.9572, relative_absolute_error: 0.1829, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.3833,

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: 0.9862, f_measure: 0.9512, kappa: 0.8977, kb_relative_information_score: 3809.9908, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9513, predictive_accuracy: 0.9513, prior_entropy: 0.9674, recall: 0.9513, relative_absolute_error: 0.1888, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.3992,

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: 0.9844, f_measure: 0.8395, kappa: 0.8228, kb_relative_information_score: 1538.7108, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8395, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.3862, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.16, root_relative_squared_error: 0.5333,

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