OpenML

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9817, kappa: 0.9796, kb_relative_information_score: 5227.5248, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9817, predictive_accuracy: 0.9817, prior_entropy: 3.3218, recall: 0.9817, relative_absolute_error: 0.1376, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.2516,

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: 0.9997, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 3093.0762, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9986, recall: 0.995, relative_absolute_error: 0.0386, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0722, root_relative_squared_error: 0.1446,

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: 0.6166, f_measure: 0.5898, kappa: 0.1552, kb_relative_information_score: 38.5546, mean_absolute_error: 0.4533, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5948, predictive_accuracy: 0.606, prior_entropy: 0.9816, recall: 0.606, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9866,

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: 0.9101, f_measure: 0.662, kappa: 0.5706, kb_relative_information_score: 380.6148, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6729, predictive_accuracy: 0.6685, prior_entropy: 2.2629, recall: 0.6685, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.751,

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: 0.9604, f_measure: 0.7065, kappa: 0.6761, kb_relative_information_score: 1485.6248, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7078, predictive_accuracy: 0.7085, prior_entropy: 3.3219, recall: 0.7085, relative_absolute_error: 0.3898, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.19, root_relative_squared_error: 0.6334,

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: 0.9362, f_measure: 0.8911, kappa: 0.4527, kb_relative_information_score: 375.6655, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8885, predictive_accuracy: 0.9005, prior_entropy: 0.5368, recall: 0.9005, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.7721,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8571, kappa: 0.6773, kb_relative_information_score: 592.1555, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8571, predictive_accuracy: 0.8588, prior_entropy: 0.9226, recall: 0.8588, relative_absolute_error: 0.4578, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6528,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.984, kappa: 0.9822, kb_relative_information_score: 5115.9749, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 3.3218, recall: 0.984, relative_absolute_error: 0.1793, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.2814,

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: 0.989, f_measure: 0.9584, kappa: 0.9128, kb_relative_information_score: 3796.9321, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9674, recall: 0.9585, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.3845,

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: 0.8592, f_measure: 0.9213, kappa: 0.3018, kb_relative_information_score: -237.5332, mean_absolute_error: 0.1001, 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: 0.7703, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.9101,

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: 0.9986, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 763.0253, mean_absolute_error: 0.1139, 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: 0.2514, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.3409,

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: 0.9989, f_measure: 0.9689, kappa: 0.9325, kb_relative_information_score: 1394.2438, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.97, predictive_accuracy: 0.9688, prior_entropy: 1.2099, recall: 0.9688, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.397,

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: 0.9998, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 10703.4184, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 3.3208, recall: 0.9924, relative_absolute_error: 0.0548, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0462, root_relative_squared_error: 0.154,

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: 0.7473, f_measure: 0.651, kappa: 0.1034, kb_relative_information_score: 62.8277, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.649, predictive_accuracy: 0.6998, prior_entropy: 0.865, recall: 0.6998, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4161, 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 mfeat-factors

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9685, kappa: 0.965, kb_relative_information_score: 1807.4947, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9689, predictive_accuracy: 0.9685, prior_entropy: 3.3219, recall: 0.9685, relative_absolute_error: 0.1796, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.3083,

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: 0.9609, f_measure: 0.7089, kappa: 0.6783, kb_relative_information_score: 1497.5216, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7105, predictive_accuracy: 0.7105, prior_entropy: 3.3219, recall: 0.7105, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.6291,

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: 0.9952, f_measure: 0.9742, kappa: 0.9477, kb_relative_information_score: 9767.9989, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9742, predictive_accuracy: 0.9742, prior_entropy: 0.9906, recall: 0.9742, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.3004,

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: 0.5598, f_measure: 0.1927, kappa: 0.0442, kb_relative_information_score: 39.6792, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.207, predictive_accuracy: 0.2133, prior_entropy: 2.5803, recall: 0.2133, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3744, root_relative_squared_error: 1.0053,

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: 0.99, f_measure: 0.9665, kappa: 0.9282, kb_relative_information_score: 489.1534, mean_absolute_error: 0.0712, 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: 0.1522, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.36,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.969, kappa: 0.9495, kb_relative_information_score: 2320.6892, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 1.4804, recall: 0.969, relative_absolute_error: 0.3676, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4472,

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: 0.7293, f_measure: 0.6536, kappa: 0.1116, kb_relative_information_score: 59.324, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6454, predictive_accuracy: 0.6895, prior_entropy: 0.865, recall: 0.6895, relative_absolute_error: 0.8536, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.9375,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9695, kappa: 0.9661, kb_relative_information_score: 1780.9699, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9699, predictive_accuracy: 0.9695, prior_entropy: 3.3219, recall: 0.9695, relative_absolute_error: 0.204, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.3274,

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: 0.9985, f_measure: 0.9909, kappa: 0.92, kb_relative_information_score: 3014.1268, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9909, predictive_accuracy: 0.991, prior_entropy: 0.3333, recall: 0.991, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.3469,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9635, kappa: 0.9594, kb_relative_information_score: 1826.4136, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9639, predictive_accuracy: 0.9635, prior_entropy: 3.3219, recall: 0.9635, relative_absolute_error: 0.1606, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.089, root_relative_squared_error: 0.2966,

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: 0.9966, f_measure: 0.9714, kappa: 0.942, kb_relative_information_score: 9879.2666, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9715, predictive_accuracy: 0.9714, prior_entropy: 0.9906, recall: 0.9714, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.2968,

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: 0.9307, f_measure: 0.8626, kappa: 0.7226, kb_relative_information_score: 403.0993, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8637, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.6348,

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: 0.9941, kappa: 0.9913, kb_relative_information_score: 699.6913, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.2495, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.3339,

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: 0.9568, f_measure: 0.7649, kappa: 0.7406, kb_relative_information_score: 1421.0233, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7642, predictive_accuracy: 0.7665, prior_entropy: 3.3219, recall: 0.7665, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.6278,

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: 0.9158, f_measure: 0.9294, kappa: 0.2926, kb_relative_information_score: -446.6346, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9336, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7288, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.205, root_relative_squared_error: 0.8429,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9906, kappa: 0.9178, kb_relative_information_score: 3021.9887, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9906, predictive_accuracy: 0.9907, prior_entropy: 0.3333, recall: 0.9907, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.3436,

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: 0.8912, f_measure: 0.9267, kappa: 0.4708, kb_relative_information_score: 90.3525, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9294, predictive_accuracy: 0.937, prior_entropy: 0.4254, recall: 0.937, relative_absolute_error: 0.6133, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.7762,

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: 0.5317, f_measure: 0.1976, kappa: 0.0329, kb_relative_information_score: 90.4393, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2014, predictive_accuracy: 0.1957, prior_entropy: 2.5803, recall: 0.1957, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3992, root_relative_squared_error: 1.072,

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: 0.9983, f_measure: 0.9885, kappa: 0.9744, kb_relative_information_score: 726.149, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9887, predictive_accuracy: 0.9885, prior_entropy: 0.9312, recall: 0.9885, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.387,

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: 0.9915, f_measure: 0.9848, kappa: 0.8476, kb_relative_information_score: 3183.5326, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9847, predictive_accuracy: 0.9851, prior_entropy: 0.3037, recall: 0.9851, relative_absolute_error: 0.2335, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.4709,

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: 0.8685, f_measure: 0.9213, kappa: 0.3018, kb_relative_information_score: -237.2074, mean_absolute_error: 0.1001, 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: 0.7707, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2243, 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 sick

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9875, kappa: 0.889, kb_relative_information_score: 2721.91, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9875, predictive_accuracy: 0.9878, prior_entropy: 0.3333, recall: 0.9878, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0919, 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 cylinder-bands

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8125, kappa: 0.6136, kb_relative_information_score: 233.7903, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8156, predictive_accuracy: 0.8148, prior_entropy: 0.9826, recall: 0.8148, relative_absolute_error: 0.601, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7286,

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: 0.9952, f_measure: 0.974, kappa: 0.9473, kb_relative_information_score: 9558.285, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 0.9906, recall: 0.974, relative_absolute_error: 0.1573, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.3108,

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: 0.9996, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 657.0302, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.44,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.786, kappa: 0.2435, kb_relative_information_score: 878.0438, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7953, predictive_accuracy: 0.8227, prior_entropy: 0.7088, recall: 0.8227, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9188,

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: 0.9986, f_measure: 0.9839, kappa: 0.9648, kb_relative_information_score: 1629.6963, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9841, predictive_accuracy: 0.9838, prior_entropy: 1.2099, recall: 0.9838, relative_absolute_error: 0.0697, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0808, root_relative_squared_error: 0.2391,

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: 0.724, f_measure: 0.7483, kappa: 0.2615, kb_relative_information_score: 94.2381, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7457, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8325, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.9424,

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: 0.9318, f_measure: 0.8683, kappa: 0.7336, kb_relative_information_score: 389.9341, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8686, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.4733, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6377,

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: 0.9865, f_measure: 0.9523, kappa: 0.9, kb_relative_information_score: 3835.8842, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9524, predictive_accuracy: 0.9524, prior_entropy: 0.9674, recall: 0.9524, relative_absolute_error: 0.182, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.3949,

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: 0.989, f_measure: 0.9584, kappa: 0.9128, kb_relative_information_score: 3796.9321, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9674, recall: 0.9585, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.3845,

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: 0.9989, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 753.7478, mean_absolute_error: 0.1188, 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: 0.2622, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.3515,

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: 0.7378, f_measure: 0.55, kappa: 0.3015, kb_relative_information_score: 342.17, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5517, predictive_accuracy: 0.5526, prior_entropy: 1.5392, recall: 0.5526, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.914,

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: 0.8654, f_measure: 0.9196, kappa: 0.278, kb_relative_information_score: -290.2277, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9177, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.895,

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: 0.8209, f_measure: 0.8388, kappa: 0.3162, kb_relative_information_score: 162.5454, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8404, predictive_accuracy: 0.8625, prior_entropy: 0.622, recall: 0.8625, relative_absolute_error: 0.7691, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.8901,

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: 0.7377, f_measure: 0.5589, kappa: 0.3151, kb_relative_information_score: 358.1099, mean_absolute_error: 0.3555, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5612, predictive_accuracy: 0.5601, prior_entropy: 1.5392, recall: 0.5601, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.9141,

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: 0.9507, kappa: 0.7774, kb_relative_information_score: 319.1819, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.88, prior_entropy: 1.3212, recall: 0.88, relative_absolute_error: 0.4861, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.6323,

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: 0.9956, f_measure: 0.9397, kappa: 0.9298, kb_relative_information_score: 2116.2929, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.94, predictive_accuracy: 0.9398, prior_entropy: 2.8074, recall: 0.9398, relative_absolute_error: 0.1287, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.3322,

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: 0.9938, f_measure: 0.9909, kappa: 0.921, kb_relative_information_score: 3043.1306, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9909, predictive_accuracy: 0.991, prior_entropy: 0.3333, recall: 0.991, relative_absolute_error: 0.1208, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.3654,

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: 0.9235, f_measure: 0.9373, kappa: 0.556, kb_relative_information_score: 88.1136, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9391, predictive_accuracy: 0.9444, prior_entropy: 0.4254, recall: 0.9444, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.761,

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: 0.9423, f_measure: 0.9025, kappa: 0.5107, kb_relative_information_score: 432.5487, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9014, predictive_accuracy: 0.9108, prior_entropy: 0.5368, recall: 0.9108, relative_absolute_error: 0.5631, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.7474,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6354, f_measure: 0.5735, kappa: 0.1325, kb_relative_information_score: 30.4678, mean_absolute_error: 0.4626, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5912, predictive_accuracy: 0.604, prior_entropy: 0.9816, recall: 0.604, relative_absolute_error: 0.9495, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4799, root_relative_squared_error: 0.9724,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9683, kappa: 0.9485, kb_relative_information_score: 2381.3249, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9683, predictive_accuracy: 0.9683, prior_entropy: 1.4804, recall: 0.9683, relative_absolute_error: 0.3418, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.196, root_relative_squared_error: 0.4328,

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: 0.9295, f_measure: 0.7461, kappa: 0.669, kb_relative_information_score: 555.1907, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7429, predictive_accuracy: 0.7518, prior_entropy: 1.9991, recall: 0.7518, relative_absolute_error: 0.4281, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.6347,

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: 0.996, f_measure: 0.9896, kappa: 0.9095, kb_relative_information_score: 3103.9006, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9896, predictive_accuracy: 0.9897, prior_entropy: 0.3333, recall: 0.9897, relative_absolute_error: 0.1178, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.3654,

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: 0.9917, kappa: 0.9879, kb_relative_information_score: 732.9864, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.2766,

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: 0.9316, f_measure: 0.8642, kappa: 0.7285, kb_relative_information_score: 1306.8007, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8643, predictive_accuracy: 0.8642, prior_entropy: 1, recall: 0.8642, relative_absolute_error: 0.543, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.6662,

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: 0.9748, kappa: 0.9722, kb_relative_information_score: 853.2951, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9751, predictive_accuracy: 0.9747, prior_entropy: 3.4594, recall: 0.9747, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.3712,

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: 0.9285, f_measure: 0.9134, kappa: 0.3484, kb_relative_information_score: 58.0144, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9261, predictive_accuracy: 0.9315, prior_entropy: 0.4254, recall: 0.9315, relative_absolute_error: 0.6948, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.7924,

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: 0.936, f_measure: 0.8963, kappa: 0.4812, kb_relative_information_score: 392.1796, mean_absolute_error: 0.1235, 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: 0.5751, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.7686,

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: 0.7349, f_measure: 0.5492, kappa: 0.2992, kb_relative_information_score: 370.471, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5498, predictive_accuracy: 0.5519, prior_entropy: 1.5392, recall: 0.5519, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.9181,

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: 0.8873, f_measure: 0.9321, kappa: 0.5145, kb_relative_information_score: 81.8323, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9344, predictive_accuracy: 0.9407, prior_entropy: 0.4254, recall: 0.9407, relative_absolute_error: 0.6228, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.7829,

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: 0.9996, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 3155.9763, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9986, recall: 0.9956, relative_absolute_error: 0.0136, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.1147,

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: 0.9979, f_measure: 0.9625, kappa: 0.9583, kb_relative_information_score: 1594.9152, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9628, predictive_accuracy: 0.9625, prior_entropy: 3.3219, recall: 0.9625, relative_absolute_error: 0.3647, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.4511,

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: 0.9611, f_measure: 0.7093, kappa: 0.6794, kb_relative_information_score: 1490.3476, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7107, predictive_accuracy: 0.7115, prior_entropy: 3.3219, recall: 0.7115, relative_absolute_error: 0.3903, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.6303,

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: 0.9982, f_measure: 0.965, kappa: 0.9611, kb_relative_information_score: 1631.599, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9652, predictive_accuracy: 0.965, prior_entropy: 3.3219, recall: 0.965, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.4247,

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: 0.9315, f_measure: 0.8658, kappa: 0.7315, kb_relative_information_score: 1289.4071, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8658, predictive_accuracy: 0.8658, prior_entropy: 1, recall: 0.8658, relative_absolute_error: 0.5505, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6693,

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: 0.9909, f_measure: 0.8889, kappa: 0.8729, kb_relative_information_score: 939.8635, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8927, predictive_accuracy: 0.887, prior_entropy: 3.1699, recall: 0.887, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.4127,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9655, kappa: 0.9617, kb_relative_information_score: 1810.6907, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9658, predictive_accuracy: 0.9655, prior_entropy: 3.3219, recall: 0.9655, relative_absolute_error: 0.1772, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.3058,

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: 0.9169, f_measure: 0.9251, kappa: 0.4622, kb_relative_information_score: 94.9284, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9265, predictive_accuracy: 0.9352, prior_entropy: 0.4254, recall: 0.9352, relative_absolute_error: 0.619, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.7877,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9695, kappa: 0.9661, kb_relative_information_score: 1833.4786, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9698, predictive_accuracy: 0.9695, prior_entropy: 3.3219, recall: 0.9695, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.2878,

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: 0.9799, kappa: 0.9778, kb_relative_information_score: 5260.0642, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.98, predictive_accuracy: 0.9798, prior_entropy: 3.4594, recall: 0.9798, relative_absolute_error: 0.088, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.217,

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: 0.9897, f_measure: 0.9647, kappa: 0.9244, kb_relative_information_score: 487.6485, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.953, recall: 0.9649, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.3569,

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: 0.7327, f_measure: 0.7475, kappa: 0.2573, kb_relative_information_score: 91.3311, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7464, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8397, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.9295,

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: 0.9915, kappa: 0.9905, kb_relative_information_score: 10640.2666, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9915, predictive_accuracy: 0.9914, prior_entropy: 3.3208, recall: 0.9914, relative_absolute_error: 0.0659, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0514, root_relative_squared_error: 0.1712,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.967, kappa: 0.9633, kb_relative_information_score: 1802.9028, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9673, predictive_accuracy: 0.967, prior_entropy: 3.3219, recall: 0.967, relative_absolute_error: 0.1853, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.3127,

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: 0.9649, f_measure: 0.9107, kappa: 0.7842, kb_relative_information_score: 3651.7868, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9106, predictive_accuracy: 0.911, prior_entropy: 0.8733, recall: 0.911, relative_absolute_error: 0.3332, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.255, root_relative_squared_error: 0.56,

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: 640.7121, mean_absolute_error: 0.1209, 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: 0.3515, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.405,

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: 0.8851, f_measure: 0.9263, kappa: 0.4756, kb_relative_information_score: 87.53, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9264, predictive_accuracy: 0.9352, prior_entropy: 0.4254, recall: 0.9352, relative_absolute_error: 0.6185, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.7835,

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: 0.737, f_measure: 0.5569, kappa: 0.3117, kb_relative_information_score: 355.4202, mean_absolute_error: 0.3564, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5589, predictive_accuracy: 0.5587, prior_entropy: 1.5392, recall: 0.5587, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.9142,

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: 0.9487, f_measure: 0.8004, kappa: 0.7407, kb_relative_information_score: 1403.7404, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8028, predictive_accuracy: 0.8001, prior_entropy: 2.4138, recall: 0.8001, relative_absolute_error: 0.3856, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.5952,

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: 0.9653, f_measure: 0.9132, kappa: 0.7896, kb_relative_information_score: 3539.0268, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9129, predictive_accuracy: 0.9136, prior_entropy: 0.8733, recall: 0.9136, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.5626,

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: 0.9998, f_measure: 0.9947, kappa: 0.9893, kb_relative_information_score: 3143.9884, mean_absolute_error: 0.009, 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: 0.0181, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0623, root_relative_squared_error: 0.1247,

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: 0.9976, f_measure: 0.9861, kappa: 0.8761, kb_relative_information_score: 2482.2389, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9861, predictive_accuracy: 0.9865, prior_entropy: 0.3333, recall: 0.9865, relative_absolute_error: 0.2625, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1, root_relative_squared_error: 0.4171,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8562, kappa: 0.6753, kb_relative_information_score: 595.2015, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8561, predictive_accuracy: 0.8578, prior_entropy: 0.9226, recall: 0.8578, relative_absolute_error: 0.4555, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6531,

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: 0.8311, f_measure: 0.8348, kappa: 0.3007, kb_relative_information_score: 166.5034, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8339, predictive_accuracy: 0.8582, prior_entropy: 0.622, recall: 0.8582, relative_absolute_error: 0.7648, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.8861,

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: 0.9255, f_measure: 0.9166, kappa: 0.3752, kb_relative_information_score: 53.5425, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9287, predictive_accuracy: 0.9333, prior_entropy: 0.4254, recall: 0.9333, relative_absolute_error: 0.6987, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.7933,

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: 0.9158, f_measure: 0.8298, kappa: 0.6494, kb_relative_information_score: 252.4959, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8319, predictive_accuracy: 0.8315, prior_entropy: 0.9826, recall: 0.8315, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7049,

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: 0.9105, f_measure: 0.9211, kappa: 0.4249, kb_relative_information_score: 77.035, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9242, predictive_accuracy: 0.9333, prior_entropy: 0.4254, recall: 0.9333, relative_absolute_error: 0.6275, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.7865,

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: 0.825, f_measure: 0.829, kappa: 0.2713, kb_relative_information_score: 170.0014, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8291, predictive_accuracy: 0.8559, prior_entropy: 0.622, recall: 0.8559, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.8858,

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: 0.9954, f_measure: 0.9376, kappa: 0.9273, kb_relative_information_score: 2118.4089, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9378, predictive_accuracy: 0.9377, prior_entropy: 2.8074, recall: 0.9377, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.116, root_relative_squared_error: 0.3314,

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: 0.9857, f_measure: 0.9497, kappa: 0.8944, kb_relative_information_score: 3815.2739, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9497, predictive_accuracy: 0.9498, prior_entropy: 0.9674, recall: 0.9498, relative_absolute_error: 0.1867, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.401,

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: 0.9293, f_measure: 0.7262, kappa: 0.6454, kb_relative_information_score: 554.1633, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7214, predictive_accuracy: 0.734, prior_entropy: 1.9991, recall: 0.734, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.6347,

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: 0.5482, f_measure: 0.1886, kappa: 0.026, kb_relative_information_score: 58.5321, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1951, predictive_accuracy: 0.1945, prior_entropy: 2.5803, recall: 0.1945, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3804, root_relative_squared_error: 1.0213,

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: 943.7494, mean_absolute_error: 0.0539, 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: 0.2468, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.105, root_relative_squared_error: 0.3178,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.967, kappa: 0.9633, kb_relative_information_score: 1809.6305, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9674, predictive_accuracy: 0.967, prior_entropy: 3.3219, recall: 0.967, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.3087,

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