OpenML

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: 0.9868, f_measure: 0.949, kappa: 0.893, kb_relative_information_score: 3700.6151, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9491, predictive_accuracy: 0.9491, prior_entropy: 0.9674, recall: 0.9491, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.4077,

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: 0.7441, f_measure: 0.6344, kappa: 0.0635, kb_relative_information_score: 57.8061, mean_absolute_error: 0.3543, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.634, predictive_accuracy: 0.6981, prior_entropy: 0.865, recall: 0.6981, relative_absolute_error: 0.866, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9254,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.7232, kappa: 0.6423, kb_relative_information_score: 553.6948, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7186, predictive_accuracy: 0.7317, prior_entropy: 1.9991, recall: 0.7317, relative_absolute_error: 0.4303, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.6336,

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: 0.9091, f_measure: 0.6873, kappa: 0.596, kb_relative_information_score: 4506.4951, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7079, predictive_accuracy: 0.6981, prior_entropy: 2.1936, recall: 0.6981, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.7647,

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: 0.9038, f_measure: 0.68, kappa: 0.5862, kb_relative_information_score: 4554.4562, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6943, predictive_accuracy: 0.6901, prior_entropy: 2.1936, recall: 0.6901, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3, root_relative_squared_error: 0.7665,

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: 0.9897, f_measure: 0.9586, kappa: 0.9086, kb_relative_information_score: 594.7801, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9588, predictive_accuracy: 0.9585, prior_entropy: 0.9297, recall: 0.9585, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.3901,

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: 0.9808, kappa: 0.9788, kb_relative_information_score: 5245.5578, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9809, predictive_accuracy: 0.9807, prior_entropy: 3.4594, recall: 0.9807, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.2182,

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: 5386.7032, mean_absolute_error: 0.0059, 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: 0.0179, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0396, root_relative_squared_error: 0.0974,

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: 0.7514, f_measure: 0.649, kappa: 0.0987, kb_relative_information_score: 63.6977, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.649, predictive_accuracy: 0.7015, prior_entropy: 0.865, recall: 0.7015, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.9211,

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: 0.9263, f_measure: 0.8536, kappa: 0.7036, kb_relative_information_score: 403.2711, mean_absolute_error: 0.2193, 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: 0.444, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.6504,

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: 0.9347, f_measure: 0.8688, kappa: 0.7377, kb_relative_information_score: 1300.1397, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8689, predictive_accuracy: 0.8688, prior_entropy: 1, recall: 0.8688, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6635,

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: 0.86, f_measure: 0.9213, kappa: 0.3018, kb_relative_information_score: -255.1816, mean_absolute_error: 0.1008, 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: 0.7758, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.8928,

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: 0.8798, f_measure: 0.8062, kappa: 0.6092, kb_relative_information_score: 1661.19, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8062, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.5905, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.75,

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: 0.9905, kappa: 0.9861, kb_relative_information_score: 687.8658, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7898, recall: 0.9905, relative_absolute_error: 0.2743, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.141, root_relative_squared_error: 0.3401,

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: 0.975, kappa: 0.9722, kb_relative_information_score: 1837.0249, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.2783,

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: 0.9925, f_measure: 0.9211, kappa: 0.9049, kb_relative_information_score: 5598.2015, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9214, predictive_accuracy: 0.9232, prior_entropy: 2.4836, recall: 0.9232, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.3908,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.7343, kappa: 0.6549, kb_relative_information_score: 558.524, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7411, prior_entropy: 1.9991, recall: 0.7411, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.6335,

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: 0.9963, kappa: 0.9958, kb_relative_information_score: 943.5496, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9964, predictive_accuracy: 0.9963, prior_entropy: 2.9931, recall: 0.9963, relative_absolute_error: 0.2493, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.3134,

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: 0.9929, f_measure: 0.9219, kappa: 0.906, kb_relative_information_score: 5594.1647, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9224, predictive_accuracy: 0.9241, prior_entropy: 2.4836, recall: 0.9241, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.3901,

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: 0.8129, f_measure: 0.8252, kappa: 0.4313, kb_relative_information_score: 134.8904, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8246, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.8453,

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: 0.7439, f_measure: 0.6309, kappa: 0.0613, kb_relative_information_score: 55.1097, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6466, predictive_accuracy: 0.7084, prior_entropy: 0.865, recall: 0.7084, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9254,

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: 0.9134, f_measure: 0.6969, kappa: 0.6082, kb_relative_information_score: 4674.6419, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7152, predictive_accuracy: 0.7069, prior_entropy: 2.1936, recall: 0.7069, relative_absolute_error: 0.6503, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.755,

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: 0.9961, f_measure: 0.938, kappa: 0.9302, kb_relative_information_score: 929.6348, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9385, predictive_accuracy: 0.938, prior_entropy: 3.1699, recall: 0.938, relative_absolute_error: 0.237, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.12, root_relative_squared_error: 0.3819,

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: 0.9795, kappa: 0.9772, kb_relative_information_score: 1809.4513, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9797, predictive_accuracy: 0.9795, prior_entropy: 3.3219, recall: 0.9795, relative_absolute_error: 0.1838, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.2928,

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: 0.9985, f_measure: 0.9523, kappa: 0.9478, kb_relative_information_score: 788.7958, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9528, predictive_accuracy: 0.9525, prior_entropy: 3.4594, recall: 0.9525, relative_absolute_error: 0.3949, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.137, root_relative_squared_error: 0.4765,

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: 0.9929, f_measure: 0.9203, kappa: 0.9041, kb_relative_information_score: 5594.5828, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9208, predictive_accuracy: 0.9226, prior_entropy: 2.4836, recall: 0.9226, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.3906,

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: 0.9992, f_measure: 0.972, kappa: 0.939, kb_relative_information_score: 1558.3452, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.973, predictive_accuracy: 0.9716, prior_entropy: 1.2099, recall: 0.9716, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0999, root_relative_squared_error: 0.2956,

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: 0.9935, f_measure: 0.9518, kappa: 0.9215, kb_relative_information_score: 2512.3739, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9519, predictive_accuracy: 0.9517, prior_entropy: 1.48, recall: 0.9517, relative_absolute_error: 0.2807, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.4076,

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: 0.8503, kappa: 0.8344, kb_relative_information_score: 1612.7734, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8501, predictive_accuracy: 0.851, prior_entropy: 3.3219, recall: 0.851, relative_absolute_error: 0.3222, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.5046,

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: 0.9049, f_measure: 0.6777, kappa: 0.5842, kb_relative_information_score: 4484.1927, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6982, predictive_accuracy: 0.6895, prior_entropy: 2.1936, recall: 0.6895, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.7696,

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: 0.9334, f_measure: 0.8683, kappa: 0.7339, kb_relative_information_score: 432.2664, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.869, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.4014, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6159,

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: 0.997, f_measure: 0.9454, kappa: 0.9393, kb_relative_information_score: 1203.8981, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9461, predictive_accuracy: 0.9454, prior_entropy: 3.3218, recall: 0.9454, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.5081,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.7431, kappa: 0.6643, kb_relative_information_score: 568.3966, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7397, predictive_accuracy: 0.7482, prior_entropy: 1.9991, recall: 0.7482, relative_absolute_error: 0.4053, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2709, root_relative_squared_error: 0.6257,

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: 0.7257, f_measure: 0.7443, kappa: 0.2501, kb_relative_information_score: 91.0093, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7406, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8414, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.9352,

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: 0.9225, f_measure: 0.8579, kappa: 0.7121, kb_relative_information_score: 393.0568, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8578, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.4615, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.6548,

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: 0.7407, f_measure: 0.6399, kappa: 0.0761, kb_relative_information_score: 57.981, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6387, predictive_accuracy: 0.6981, prior_entropy: 0.865, recall: 0.6981, relative_absolute_error: 0.8636, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.42, root_relative_squared_error: 0.9291,

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: 0.8292, f_measure: 0.8388, kappa: 0.3132, kb_relative_information_score: 182.9395, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8427, predictive_accuracy: 0.8639, prior_entropy: 0.622, recall: 0.8639, relative_absolute_error: 0.7652, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.319, root_relative_squared_error: 0.8825,

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: 0.9969, f_measure: 0.9526, kappa: 0.9469, kb_relative_information_score: 865.3897, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9526, predictive_accuracy: 0.9528, prior_entropy: 3.1699, recall: 0.9528, relative_absolute_error: 0.3461, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.4469,

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: 0.5942, f_measure: 0.5877, kappa: 0.1486, kb_relative_information_score: 30.9843, mean_absolute_error: 0.459, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5882, predictive_accuracy: 0.598, prior_entropy: 0.9816, recall: 0.598, relative_absolute_error: 0.9421, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0069,

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: 0.9987, f_measure: 0.9553, kappa: 0.9511, kb_relative_information_score: 769.8192, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9556, predictive_accuracy: 0.9556, prior_entropy: 3.4594, recall: 0.9556, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.4979,

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: 0.9065, f_measure: 0.929, kappa: 0.2972, kb_relative_information_score: -554.9319, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9298, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7472, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8511,

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: 0.9996, f_measure: 0.9768, kappa: 0.9744, kb_relative_information_score: 858.9963, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.977, predictive_accuracy: 0.9768, prior_entropy: 3.4594, recall: 0.9768, relative_absolute_error: 0.2738, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.361,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pc4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.8983, kappa: 0.491, kb_relative_information_score: 418.4109, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8965, predictive_accuracy: 0.9067, prior_entropy: 0.5368, recall: 0.9067, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.7594,

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: 0.908, f_measure: 0.684, kappa: 0.5915, kb_relative_information_score: 4688.1705, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6983, predictive_accuracy: 0.6939, prior_entropy: 2.1936, recall: 0.6939, relative_absolute_error: 0.6461, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.7589,

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: 0.9646, f_measure: 0.9078, kappa: 0.777, kb_relative_information_score: 3592.6952, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9076, predictive_accuracy: 0.908, prior_entropy: 0.8733, recall: 0.908, relative_absolute_error: 0.3452, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5641,

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: 0.9973, f_measure: 0.9436, kappa: 0.9372, kb_relative_information_score: 1253.0331, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9444, predictive_accuracy: 0.9435, prior_entropy: 3.3218, recall: 0.9435, relative_absolute_error: 0.3765, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.4722,

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: 0.8635, f_measure: 0.9233, kappa: 0.3135, kb_relative_information_score: -261.31, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9228, predictive_accuracy: 0.9369, prior_entropy: 0.3667, recall: 0.9369, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.8907,

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: 0.9638, kappa: 0.9623, kb_relative_information_score: 18304.0444, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9641, predictive_accuracy: 0.9638, prior_entropy: 4.6998, recall: 0.9638, relative_absolute_error: 0.195, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0647, root_relative_squared_error: 0.3365,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pc4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.8963, kappa: 0.4812, kb_relative_information_score: 398.1856, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8941, predictive_accuracy: 0.9047, prior_entropy: 0.5368, recall: 0.9047, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.7599,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8252, kappa: 0.6396, kb_relative_information_score: 224.7074, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.83, predictive_accuracy: 0.8278, prior_entropy: 0.9826, recall: 0.8278, relative_absolute_error: 0.6201, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7392,

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: 0.8716, f_measure: 0.6145, kappa: 0.4901, kb_relative_information_score: 2678.972, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6094, predictive_accuracy: 0.6281, prior_entropy: 2.3005, recall: 0.6281, relative_absolute_error: 0.655, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.8177,

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: 0.9891, f_measure: 0.9573, kappa: 0.9104, kb_relative_information_score: 3700.759, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9574, predictive_accuracy: 0.9574, prior_entropy: 0.9674, recall: 0.9574, relative_absolute_error: 0.2211, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.3956,

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: 0.9954, kappa: 0.9947, kb_relative_information_score: 945.5112, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 2.9931, recall: 0.9954, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1029, root_relative_squared_error: 0.3114,

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: 0.992, f_measure: 0.9686, kappa: 0.9306, kb_relative_information_score: 600.9222, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9687, predictive_accuracy: 0.9685, prior_entropy: 0.9297, recall: 0.9685, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.3587,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8327, kappa: 0.6551, kb_relative_information_score: 235.8591, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8377, predictive_accuracy: 0.8352, prior_entropy: 0.9826, recall: 0.8352, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7243,

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: 0.9893, kappa: 0.9844, kb_relative_information_score: 735.6161, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 1.7898, recall: 0.9893, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.2741,

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: 0.9929, f_measure: 0.919, kappa: 0.9024, kb_relative_information_score: 5589.234, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9192, predictive_accuracy: 0.9212, prior_entropy: 2.4836, recall: 0.9212, relative_absolute_error: 0.1897, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.3903,

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: 0.9128, f_measure: 0.6638, kappa: 0.5697, kb_relative_information_score: 413.493, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6703, predictive_accuracy: 0.6658, prior_entropy: 2.2629, recall: 0.6658, relative_absolute_error: 0.5571, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.7381,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9655, kappa: 0.9617, kb_relative_information_score: 1656.1046, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9657, predictive_accuracy: 0.9655, prior_entropy: 3.3219, recall: 0.9655, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.4092,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pc4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8967, kappa: 0.4876, kb_relative_information_score: 421.2735, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8941, predictive_accuracy: 0.904, prior_entropy: 0.5368, recall: 0.904, relative_absolute_error: 0.568, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.248, root_relative_squared_error: 0.7575,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.811, kappa: 0.6103, kb_relative_information_score: 204.5278, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8189, predictive_accuracy: 0.8148, prior_entropy: 0.9826, recall: 0.8148, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7521,

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: 0.9941, f_measure: 0.9571, kappa: 0.9302, kb_relative_information_score: 2502.3465, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9573, predictive_accuracy: 0.957, prior_entropy: 1.48, recall: 0.957, relative_absolute_error: 0.2856, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.4069,

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: 0.8172, f_measure: 0.8305, kappa: 0.2761, kb_relative_information_score: 129.9392, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8321, predictive_accuracy: 0.8578, prior_entropy: 0.622, recall: 0.8578, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.8952,

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: 0.8263, f_measure: 0.8377, kappa: 0.3145, kb_relative_information_score: 159.3141, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8371, predictive_accuracy: 0.8601, prior_entropy: 0.622, recall: 0.8601, relative_absolute_error: 0.7611, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.8878,

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: 0.9997, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 645.2081, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 1.7898, recall: 0.9881, relative_absolute_error: 0.3442, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1655, 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 kr-vs-kp

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9959, kappa: 0.9918, kb_relative_information_score: 3152.7668, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9986, recall: 0.9959, relative_absolute_error: 0.015, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.065, root_relative_squared_error: 0.1301,

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: 0.8754, f_measure: 0.7845, kappa: 0.57, kb_relative_information_score: 626.1641, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7879, predictive_accuracy: 0.785, prior_entropy: 1, recall: 0.785, relative_absolute_error: 0.8013, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8365,

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: 0.9678, kappa: 0.9665, kb_relative_information_score: 18401.6131, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.968, predictive_accuracy: 0.9678, prior_entropy: 4.6998, recall: 0.9678, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.3263,

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: 0.9997, f_measure: 0.9669, kappa: 0.9655, kb_relative_information_score: 18426.0012, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.967, predictive_accuracy: 0.9669, prior_entropy: 4.6998, recall: 0.9669, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0621, root_relative_squared_error: 0.323,

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: 0.9843, f_measure: 0.8414, kappa: 0.825, kb_relative_information_score: 1538.5831, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8412, predictive_accuracy: 0.8425, prior_entropy: 3.3219, recall: 0.8425, relative_absolute_error: 0.3866, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.5336,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8325, kappa: 0.6547, kb_relative_information_score: 244.5347, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8382, predictive_accuracy: 0.8352, prior_entropy: 0.9826, recall: 0.8352, relative_absolute_error: 0.5846, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.7063,

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: 0.9485, kappa: 0.7953, kb_relative_information_score: 270.6179, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8896, prior_entropy: 1.3212, recall: 0.8896, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.6759,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.82, kappa: 0.6291, kb_relative_information_score: 245.0286, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8232, predictive_accuracy: 0.8222, prior_entropy: 0.9826, recall: 0.8222, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7157,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8146, kappa: 0.6177, kb_relative_information_score: 217.5674, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8235, predictive_accuracy: 0.8185, prior_entropy: 0.9826, recall: 0.8185, relative_absolute_error: 0.636, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7383,

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: 0.8825, f_measure: 0.8064, kappa: 0.6097, kb_relative_information_score: 1563.5615, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8065, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7528,

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: 0.8283, f_measure: 0.7592, kappa: 0.4636, kb_relative_information_score: 245.2484, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7582, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.398, root_relative_squared_error: 0.8349,

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: 0.9896, f_measure: 0.9613, kappa: 0.917, kb_relative_information_score: 489.2317, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.3602,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pc4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9022, kappa: 0.5111, kb_relative_information_score: 395.932, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9008, predictive_accuracy: 0.9102, prior_entropy: 0.5368, recall: 0.9102, relative_absolute_error: 0.5761, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.7565,

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: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1315.4552, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0492, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.1591,

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: 0.7872, f_measure: 0.7382, kappa: 0.3504, kb_relative_information_score: 190.9564, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7499, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8829,

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: 0.9178, f_measure: 0.9305, kappa: 0.5055, kb_relative_information_score: 85.4684, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9316, predictive_accuracy: 0.9389, prior_entropy: 0.4254, recall: 0.9389, relative_absolute_error: 0.6192, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.7722,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.7337, kappa: 0.6533, kb_relative_information_score: 543.4894, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7295, predictive_accuracy: 0.74, prior_entropy: 1.9991, recall: 0.74, relative_absolute_error: 0.4461, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.6405,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.7368, kappa: 0.6596, kb_relative_information_score: 550.9762, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7319, predictive_accuracy: 0.7447, prior_entropy: 1.9991, recall: 0.7447, relative_absolute_error: 0.4348, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.633,

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: 0.9748, kappa: 0.9722, kb_relative_information_score: 828.3192, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9752, predictive_accuracy: 0.9747, prior_entropy: 3.4594, recall: 0.9747, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.4063,

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: 0.9615, f_measure: 0.7092, kappa: 0.6789, kb_relative_information_score: 1488.0884, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7111, predictive_accuracy: 0.711, prior_entropy: 3.3219, recall: 0.711, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.6229,

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: 0.839, f_measure: 0.8616, kappa: 0.1125, kb_relative_information_score: -252.7887, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8541, predictive_accuracy: 0.8938, prior_entropy: 0.478, recall: 0.8938, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.278, root_relative_squared_error: 0.917,

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: 0.9082, f_measure: 0.9258, kappa: 0.2511, kb_relative_information_score: -540.082, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9295, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.854,

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: 0.83, f_measure: 0.8366, kappa: 0.3108, kb_relative_information_score: 159.2913, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8351, predictive_accuracy: 0.8587, prior_entropy: 0.622, recall: 0.8587, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.8855,

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: 0.9998, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 721.5751, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.3074, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.3693,

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: 0.5579, f_measure: 0.1898, kappa: 0.0309, kb_relative_information_score: 63.6393, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1886, predictive_accuracy: 0.1957, prior_entropy: 2.5803, recall: 0.1957, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3762, root_relative_squared_error: 1.0101,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9525, kappa: 0.9472, kb_relative_information_score: 1679.1368, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9528, predictive_accuracy: 0.9525, prior_entropy: 3.3219, recall: 0.9525, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1213, root_relative_squared_error: 0.4043,

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: 0.996, f_measure: 0.9358, kappa: 0.9253, kb_relative_information_score: 2130.9029, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9359, predictive_accuracy: 0.9359, prior_entropy: 2.8074, recall: 0.9359, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.3245,

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: 0.9923, f_measure: 0.9521, kappa: 0.9221, kb_relative_information_score: 2715.447, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9525, predictive_accuracy: 0.952, prior_entropy: 1.48, recall: 0.952, relative_absolute_error: 0.1912, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3659,

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: 0.9993, f_measure: 0.9717, kappa: 0.9689, kb_relative_information_score: 797.59, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9725, predictive_accuracy: 0.9717, prior_entropy: 3.4594, recall: 0.9717, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.4525,

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: 0.9857, f_measure: 0.9825, kappa: 0.8238, kb_relative_information_score: 3050.3643, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9824, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1121, root_relative_squared_error: 0.4964,

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: 0.738, f_measure: 0.5551, kappa: 0.3078, kb_relative_information_score: 372.5858, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5576, predictive_accuracy: 0.558, prior_entropy: 1.5392, recall: 0.558, relative_absolute_error: 0.8148, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.9156,

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: 0.9973, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 731.3149, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.3815,

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: 0.9892, f_measure: 0.9573, kappa: 0.9105, kb_relative_information_score: 3774.9751, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9574, predictive_accuracy: 0.9574, prior_entropy: 0.9674, recall: 0.9574, relative_absolute_error: 0.2009, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.3871,

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: 0.9658, f_measure: 0.915, kappa: 0.7946, kb_relative_information_score: 3585.9984, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9149, predictive_accuracy: 0.9152, prior_entropy: 0.8733, recall: 0.9152, relative_absolute_error: 0.3488, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.5591,

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: 0.9925, f_measure: 0.9162, kappa: 0.8993, kb_relative_information_score: 5557.4726, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9165, predictive_accuracy: 0.9187, prior_entropy: 2.4836, recall: 0.9187, relative_absolute_error: 0.1964, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.398,

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