OpenML

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: 0.9959, kappa: 0.9918, kb_relative_information_score: 3144.3326, mean_absolute_error: 0.0092, 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: 0.0184, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0595, root_relative_squared_error: 0.1191,

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: 0.9338, f_measure: 0.8696, kappa: 0.7392, kb_relative_information_score: 1324.4391, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8696, predictive_accuracy: 0.8696, prior_entropy: 1, recall: 0.8696, relative_absolute_error: 0.5368, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6599,

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: 0.9942, kappa: 0.9882, kb_relative_information_score: 1321.2908, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.9912, recall: 0.9942, relative_absolute_error: 0.044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.1496,

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: 0.873, f_measure: 0.6163, kappa: 0.4922, kb_relative_information_score: 2683.1113, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6116, predictive_accuracy: 0.6301, prior_entropy: 2.3005, recall: 0.6301, relative_absolute_error: 0.6551, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.8149,

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: 0.5685, f_measure: 0.1975, kappa: 0.0396, kb_relative_information_score: 64.3627, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1967, predictive_accuracy: 0.2033, prior_entropy: 2.5803, recall: 0.2033, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3738, root_relative_squared_error: 1.0036,

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: 0.9268, f_measure: 0.7361, kappa: 0.6549, kb_relative_information_score: 552.45, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7324, predictive_accuracy: 0.7411, prior_entropy: 1.9991, recall: 0.7411, relative_absolute_error: 0.4291, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.6413,

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: 0.9955, f_measure: 0.9334, kappa: 0.925, kb_relative_information_score: 913.6059, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.934, predictive_accuracy: 0.9333, prior_entropy: 3.1699, recall: 0.9333, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.4008,

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: 0.6417, f_measure: 0.5941, kappa: 0.1681, kb_relative_information_score: 37.9704, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6059, predictive_accuracy: 0.616, prior_entropy: 0.9816, recall: 0.616, relative_absolute_error: 0.9344, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.479, root_relative_squared_error: 0.9705,

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: 0.9927, f_measure: 0.9536, kappa: 0.9245, kb_relative_information_score: 2581.9816, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9538, predictive_accuracy: 0.9535, prior_entropy: 1.48, recall: 0.9535, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1768, 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 ozone-level-8hr

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.9289, kappa: 0.2819, kb_relative_information_score: -624.5946, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9354, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7594, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8527,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9673, kappa: 0.9292, kb_relative_information_score: 1366.585, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9686, predictive_accuracy: 0.967, prior_entropy: 1.2099, recall: 0.967, relative_absolute_error: 0.2935, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.4136,

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: 0.9915, kappa: 0.9906, kb_relative_information_score: 10617.2812, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9916, predictive_accuracy: 0.9915, prior_entropy: 3.3208, recall: 0.9915, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0524, root_relative_squared_error: 0.1748,

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: 0.9861, f_measure: 0.8875, kappa: 0.8719, kb_relative_information_score: 923.8389, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8905, predictive_accuracy: 0.8861, prior_entropy: 3.1699, recall: 0.8861, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.4337,

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: 0.84, f_measure: 0.8616, kappa: 0.1125, kb_relative_information_score: -232.9093, mean_absolute_error: 0.1523, 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: 0.8267, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.9108,

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: 0.6023, f_measure: 0.5771, kappa: 0.1282, kb_relative_information_score: 31.8334, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5797, predictive_accuracy: 0.592, prior_entropy: 0.9816, recall: 0.592, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.0015,

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: 0.6213, f_measure: 0.5807, kappa: 0.1382, kb_relative_information_score: 33.9564, mean_absolute_error: 0.4581, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5873, predictive_accuracy: 0.6, prior_entropy: 0.9816, recall: 0.6, relative_absolute_error: 0.9402, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4836, root_relative_squared_error: 0.9799,

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: 0.9989, f_measure: 0.977, kappa: 0.9744, kb_relative_information_score: 1787.0465, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9773, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.3102,

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: 0.7283, f_measure: 0.7493, kappa: 0.2642, kb_relative_information_score: 93.6282, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7473, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.9349,

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: 0.9313, f_measure: 0.8685, kappa: 0.7369, kb_relative_information_score: 1253.8326, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8685, predictive_accuracy: 0.8685, prior_entropy: 1, recall: 0.8685, relative_absolute_error: 0.5653, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.338, root_relative_squared_error: 0.676,

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: 0.9961, f_measure: 0.941, kappa: 0.9313, kb_relative_information_score: 2136.2693, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9412, predictive_accuracy: 0.9411, prior_entropy: 2.8074, recall: 0.9411, relative_absolute_error: 0.1138, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.112, root_relative_squared_error: 0.3201,

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: 0.9121, f_measure: 0.8214, kappa: 0.6318, kb_relative_information_score: 238.7611, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8261, predictive_accuracy: 0.8241, prior_entropy: 0.9826, recall: 0.8241, relative_absolute_error: 0.5928, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7191,

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: 0.9992, f_measure: 0.9747, kappa: 0.9722, kb_relative_information_score: 784.5193, mean_absolute_error: 0.0669, 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: 0.4046, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.4685,

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: 0.9965, f_measure: 0.9715, kappa: 0.9422, kb_relative_information_score: 10059.8937, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9715, predictive_accuracy: 0.9715, prior_entropy: 0.9906, recall: 0.9715, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.2901,

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: 0.9154, f_measure: 0.6985, kappa: 0.6097, kb_relative_information_score: 4766.804, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.714, predictive_accuracy: 0.7076, prior_entropy: 2.1936, recall: 0.7076, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.7494,

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: 0.9525, f_measure: 0.7748, kappa: 0.7528, kb_relative_information_score: 1399.558, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7728, predictive_accuracy: 0.7775, prior_entropy: 3.3219, recall: 0.7775, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.6518,

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: 0.9929, f_measure: 0.9729, kappa: 0.9402, kb_relative_information_score: 597.764, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9732, predictive_accuracy: 0.9728, prior_entropy: 0.9297, recall: 0.9728, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3484,

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: 0.8647, f_measure: 0.9158, kappa: 0.2419, kb_relative_information_score: -307.9068, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9124, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.9,

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

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

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9671, kappa: 0.9274, kb_relative_information_score: 600.0824, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9672, predictive_accuracy: 0.9671, prior_entropy: 0.9297, recall: 0.9671, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3615,

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: 0.9116, f_measure: 0.9277, kappa: 0.2744, kb_relative_information_score: -493.909, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.8446,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.617, kappa: 0.4931, kb_relative_information_score: 2733.0677, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.612, predictive_accuracy: 0.6301, prior_entropy: 2.3005, recall: 0.6301, relative_absolute_error: 0.6419, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.8144,

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: 0.8211, f_measure: 0.8355, kappa: 0.3052, kb_relative_information_score: 153.3278, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8342, predictive_accuracy: 0.8582, prior_entropy: 0.622, recall: 0.8582, relative_absolute_error: 0.7703, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.8913,

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: 0.5655, f_measure: 0.1959, kappa: 0.0429, kb_relative_information_score: 44.7383, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2038, predictive_accuracy: 0.2095, prior_entropy: 2.5803, recall: 0.2095, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.373, root_relative_squared_error: 1.0015,

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: 0.6212, f_measure: 0.588, kappa: 0.1626, kb_relative_information_score: 29.6307, mean_absolute_error: 0.4627, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6095, predictive_accuracy: 0.618, prior_entropy: 0.9816, recall: 0.618, relative_absolute_error: 0.9497, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9789,

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: 0.7814, f_measure: 0.7343, kappa: 0.3421, kb_relative_information_score: 195.1221, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.74, predictive_accuracy: 0.755, prior_entropy: 0.8818, recall: 0.755, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8867,

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: 0.9989, f_measure: 0.975, kappa: 0.9722, kb_relative_information_score: 1782.1204, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.3162,

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: 0.9401, f_measure: 0.9041, kappa: 0.5213, kb_relative_information_score: 405.9927, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9026, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.5688, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.7592,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9729, kappa: 0.9402, kb_relative_information_score: 596.4674, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9732, predictive_accuracy: 0.9728, prior_entropy: 0.9297, recall: 0.9728, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.3494,

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: 0.9985, f_measure: 0.972, kappa: 0.9689, kb_relative_information_score: 1751.3434, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9722, predictive_accuracy: 0.972, prior_entropy: 3.3219, recall: 0.972, relative_absolute_error: 0.234, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.342,

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: 0.9977, f_measure: 0.9468, kappa: 0.9407, kb_relative_information_score: 1278.7637, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9474, predictive_accuracy: 0.9466, prior_entropy: 3.3218, recall: 0.9466, relative_absolute_error: 0.351, 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 wall-robot-navigation

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5390.1533, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1.7151, recall: 0.9965, relative_absolute_error: 0.0168, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.039, root_relative_squared_error: 0.0959,

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: 0.7063, kappa: 0.6756, kb_relative_information_score: 1482.9567, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7073, predictive_accuracy: 0.708, prior_entropy: 3.3219, recall: 0.708, relative_absolute_error: 0.3911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.6383,

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: 944.3813, mean_absolute_error: 0.0538, 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: 0.2463, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.3156,

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: 0.9819, kappa: 0.98, kb_relative_information_score: 5233.9642, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.982, predictive_accuracy: 0.9818, prior_entropy: 3.4594, recall: 0.9818, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0637, root_relative_squared_error: 0.2216,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, f_measure: 0.7424, kappa: 0.2432, kb_relative_information_score: 87.033, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7395, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.9373,

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: 0.9612, kappa: 0.9167, kb_relative_information_score: 488.9429, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1516, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1745, 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 satimage

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9186, kappa: 0.9022, kb_relative_information_score: 5600.2613, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.919, predictive_accuracy: 0.921, prior_entropy: 2.4836, recall: 0.921, relative_absolute_error: 0.1852, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.3912,

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: 0.9493, f_measure: 0.808, kappa: 0.7508, kb_relative_information_score: 1392.3232, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8102, predictive_accuracy: 0.8078, prior_entropy: 2.4138, recall: 0.8078, relative_absolute_error: 0.3948, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.5964,

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: 0.9971, kappa: 0.9956, kb_relative_information_score: 5398.144, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 1.7151, recall: 0.9971, relative_absolute_error: 0.0147, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0372, root_relative_squared_error: 0.0913,

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: 0.9727, kappa: 0.9446, kb_relative_information_score: 9775.3904, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9727, predictive_accuracy: 0.9727, prior_entropy: 0.9906, recall: 0.9727, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.3005,

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: 0.9908, kappa: 0.9894, kb_relative_information_score: 970.9881, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9908, predictive_accuracy: 0.9907, prior_entropy: 2.9931, recall: 0.9907, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.095, root_relative_squared_error: 0.2874,

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: 0.9593, f_measure: 0.9044, kappa: 0.7688, kb_relative_information_score: 3547.8216, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9042, predictive_accuracy: 0.9047, prior_entropy: 0.8733, recall: 0.9047, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.5824,

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: 0.9636, kappa: 0.9621, kb_relative_information_score: 18564.886, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9639, predictive_accuracy: 0.9636, prior_entropy: 4.6998, recall: 0.9636, relative_absolute_error: 0.1645, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0604, root_relative_squared_error: 0.3142,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.9519, kappa: 0.7937, kb_relative_information_score: 3081.3187, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9529, predictive_accuracy: 0.954, prior_entropy: 0.5883, recall: 0.954, relative_absolute_error: 0.3856, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.5647,

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: 0.9985, f_measure: 0.972, kappa: 0.9689, kb_relative_information_score: 1727.7401, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9722, predictive_accuracy: 0.972, prior_entropy: 3.3219, recall: 0.972, relative_absolute_error: 0.2542, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.3608,

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: 0.8902, f_measure: 0.9251, kappa: 0.4622, kb_relative_information_score: 78.5747, mean_absolute_error: 0.0996, 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: 0.6338, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.8063,

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: 0.915, f_measure: 0.6725, kappa: 0.5806, kb_relative_information_score: 416.8371, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.678, predictive_accuracy: 0.6739, prior_entropy: 2.2629, recall: 0.6739, relative_absolute_error: 0.5527, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.291, root_relative_squared_error: 0.7354,

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: 0.9273, f_measure: 0.8565, kappa: 0.7094, kb_relative_information_score: 401.9068, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8565, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4478, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6456,

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: 0.8721, f_measure: 0.6167, kappa: 0.4925, kb_relative_information_score: 2744.7124, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6119, predictive_accuracy: 0.6291, prior_entropy: 2.3005, recall: 0.6291, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.8167,

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: 0.8733, f_measure: 0.62, kappa: 0.4971, kb_relative_information_score: 2675.6698, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6153, predictive_accuracy: 0.6332, prior_entropy: 2.3005, recall: 0.6332, relative_absolute_error: 0.6583, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.8146,

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: 0.621, f_measure: 0.5944, kappa: 0.1737, kb_relative_information_score: 30.6321, mean_absolute_error: 0.4619, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6142, predictive_accuracy: 0.622, prior_entropy: 0.9816, recall: 0.622, relative_absolute_error: 0.948, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9773,

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: 0.9979, f_measure: 0.9906, kappa: 0.9175, kb_relative_information_score: 2902.9737, mean_absolute_error: 0.0174, 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: 0.151, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.375,

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: 0.9654, f_measure: 0.7687, kappa: 0.7461, kb_relative_information_score: 1450.9826, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7668, predictive_accuracy: 0.7715, prior_entropy: 3.3219, recall: 0.7715, relative_absolute_error: 0.4076, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.616,

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: 0.9923, f_measure: 0.8944, kappa: 0.8802, kb_relative_information_score: 949.6114, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8964, predictive_accuracy: 0.8935, prior_entropy: 3.1699, recall: 0.8935, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.3975,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9743, kappa: 0.9434, kb_relative_information_score: 595.9217, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9747, predictive_accuracy: 0.9742, prior_entropy: 0.9297, recall: 0.9742, relative_absolute_error: 0.1662, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3483,

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: 0.9275, f_measure: 0.931, kappa: 0.502, kb_relative_information_score: 86.8819, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9351, predictive_accuracy: 0.9407, prior_entropy: 0.4254, recall: 0.9407, relative_absolute_error: 0.6185, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.7642,

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: 0.921, f_measure: 0.9389, kappa: 0.5655, kb_relative_information_score: 78.0252, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.942, predictive_accuracy: 0.9463, prior_entropy: 0.4254, recall: 0.9463, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.7662,

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: 0.9981, f_measure: 0.9605, kappa: 0.9561, kb_relative_information_score: 1614.6541, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.4361,

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: 0.9303, f_measure: 0.7384, kappa: 0.6564, kb_relative_information_score: 568.8642, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7353, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.6295,

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: 0.9914, kappa: 0.9905, kb_relative_information_score: 10736.5974, mean_absolute_error: 0.0084, 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: 0.0466, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.046, root_relative_squared_error: 0.1533,

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: 0.9495, f_measure: 0.8046, kappa: 0.7472, kb_relative_information_score: 1419.9228, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.806, predictive_accuracy: 0.8047, prior_entropy: 2.4138, recall: 0.8047, relative_absolute_error: 0.3714, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.5913,

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: 0.9491, f_measure: 0.8058, kappa: 0.7484, kb_relative_information_score: 1418.8953, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8074, predictive_accuracy: 0.8058, prior_entropy: 2.4138, recall: 0.8058, relative_absolute_error: 0.3749, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.5888,

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: 0.9991, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 1823.734, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9807, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.1691, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.2829,

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: 0.9919, f_measure: 0.9843, kappa: 0.8422, kb_relative_information_score: 3085.3008, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9842, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2511, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.4723,

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: 0.961, kappa: 0.9594, kb_relative_information_score: 18652.0433, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9612, predictive_accuracy: 0.961, prior_entropy: 4.6998, recall: 0.961, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0587, root_relative_squared_error: 0.3054,

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: 0.8718, f_measure: 0.617, kappa: 0.493, kb_relative_information_score: 2702.317, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6119, predictive_accuracy: 0.6299, prior_entropy: 2.3005, recall: 0.6299, relative_absolute_error: 0.6503, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.8167,

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: 0.7623, f_measure: 0.7853, kappa: 0.2407, kb_relative_information_score: 897.868, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7952, predictive_accuracy: 0.8226, prior_entropy: 0.7088, recall: 0.8226, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9159,

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: 0.9294, f_measure: 0.7361, kappa: 0.6564, kb_relative_information_score: 558.9841, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7316, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.4208, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.6333,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1306.021, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.9912, recall: 0.9942, relative_absolute_error: 0.0587, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0767, root_relative_squared_error: 0.1543,

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: 0.9992, f_measure: 0.9738, kappa: 0.9711, kb_relative_information_score: 841.3822, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9742, predictive_accuracy: 0.9737, prior_entropy: 3.4594, recall: 0.9737, relative_absolute_error: 0.3025, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.3979,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9543, kappa: 0.9257, kb_relative_information_score: 2706.3998, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9548, predictive_accuracy: 0.9542, prior_entropy: 1.48, recall: 0.9542, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3648,

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: 0.9339, f_measure: 0.8669, kappa: 0.7338, kb_relative_information_score: 1307.0232, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.867, predictive_accuracy: 0.8669, prior_entropy: 1, recall: 0.8669, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.6629,

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: 0.9218, f_measure: 0.8623, kappa: 0.7213, kb_relative_information_score: 394.353, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8624, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4597, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.6574,

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: 0.9932, f_measure: 0.9531, kappa: 0.9236, kb_relative_information_score: 2734.7019, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9534, predictive_accuracy: 0.9529, prior_entropy: 1.48, recall: 0.9529, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.3563,

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: 0.8254, f_measure: 0.7506, kappa: 0.4439, kb_relative_information_score: 245.211, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7496, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.689, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394,

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: 0.8732, f_measure: 0.6197, kappa: 0.4968, kb_relative_information_score: 2680.4348, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6148, predictive_accuracy: 0.6329, prior_entropy: 2.3005, recall: 0.6329, relative_absolute_error: 0.6558, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2883, root_relative_squared_error: 0.8142,

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: 0.8737, f_measure: 0.6207, kappa: 0.4981, kb_relative_information_score: 2676.6984, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6161, predictive_accuracy: 0.6337, prior_entropy: 2.3005, recall: 0.6337, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.814,

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: 0.9885, f_measure: 0.958, kappa: 0.9118, kb_relative_information_score: 3822.9286, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.958, predictive_accuracy: 0.9581, prior_entropy: 0.9674, recall: 0.9581, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3835,

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: 0.9953, kappa: 0.9906, kb_relative_information_score: 3155.3173, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.9986, recall: 0.9953, relative_absolute_error: 0.0137, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.1227,

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: 0.8245, f_measure: 0.8354, kappa: 0.2988, kb_relative_information_score: 162.929, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8379, predictive_accuracy: 0.8611, prior_entropy: 0.622, recall: 0.8611, relative_absolute_error: 0.7703, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.8871,

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: 0.963, f_measure: 0.9091, kappa: 0.78, kb_relative_information_score: 3418.1764, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9089, predictive_accuracy: 0.9095, prior_entropy: 0.8733, recall: 0.9095, relative_absolute_error: 0.3834, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.5763,

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: 0.9946, f_measure: 0.9687, kappa: 0.9365, kb_relative_information_score: 10209.9394, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 0.9906, recall: 0.9687, relative_absolute_error: 0.0796, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.2954,

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: 0.9939, f_measure: 0.9574, kappa: 0.9306, kb_relative_information_score: 2336.4691, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9575, predictive_accuracy: 0.9573, prior_entropy: 1.48, recall: 0.9573, relative_absolute_error: 0.3547, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4513,

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: 0.9909, f_measure: 0.9595, kappa: 0.9131, kb_relative_information_score: 486.6987, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.3691,

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: 0.9905, f_measure: 0.9829, kappa: 0.8259, kb_relative_information_score: 2972.981, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9831, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.5009,

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: 0.9881, kappa: 0.9827, kb_relative_information_score: 735.8662, mean_absolute_error: 0.0658, 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: 0.1914, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.113, root_relative_squared_error: 0.2727,

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: 0.9959, f_measure: 0.9418, kappa: 0.9323, kb_relative_information_score: 2127.4373, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9419, predictive_accuracy: 0.942, prior_entropy: 2.8074, recall: 0.942, relative_absolute_error: 0.1213, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.324,

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: 0.9567, kappa: 0.9295, kb_relative_information_score: 2418.0063, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9569, predictive_accuracy: 0.9567, prior_entropy: 1.48, recall: 0.9567, relative_absolute_error: 0.3194, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4298,

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: 0.9905, f_measure: 0.9647, kappa: 0.9244, kb_relative_information_score: 487.4221, mean_absolute_error: 0.0728, 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: 0.1558, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.175, root_relative_squared_error: 0.362,

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: 0.9927, f_measure: 0.9729, kappa: 0.9402, kb_relative_information_score: 593.4329, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9732, predictive_accuracy: 0.9728, prior_entropy: 0.9297, recall: 0.9728, relative_absolute_error: 0.1713, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3512,

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