OpenML

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: 0.9989, f_measure: 0.9676, kappa: 0.9644, kb_relative_information_score: 779.6149, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9681, predictive_accuracy: 0.9677, prior_entropy: 3.4594, recall: 0.9677, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.4824,

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: 0.8992, f_measure: 0.9321, kappa: 0.5145, kb_relative_information_score: 83.6965, mean_absolute_error: 0.0991, 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: 0.6308, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.7863,

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: 0.8442, f_measure: 0.8735, kappa: 0.1952, kb_relative_information_score: -205.9981, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8743, predictive_accuracy: 0.9008, prior_entropy: 0.478, recall: 0.9008, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9034,

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: 0.9986, f_measure: 0.9636, kappa: 0.96, kb_relative_information_score: 725.3816, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9643, predictive_accuracy: 0.9636, prior_entropy: 3.4594, recall: 0.9636, relative_absolute_error: 0.4968, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.551,

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: 0.9911, f_measure: 0.9643, kappa: 0.9211, kb_relative_information_score: 598.5709, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9644, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.1573, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3662,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.6214, kappa: 0.4987, kb_relative_information_score: 2706.1186, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6167, predictive_accuracy: 0.6339, prior_entropy: 2.3005, recall: 0.6339, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2883, root_relative_squared_error: 0.8141,

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: 0.8248, f_measure: 0.8366, kappa: 0.3078, kb_relative_information_score: 184.2236, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8368, predictive_accuracy: 0.8601, prior_entropy: 0.622, recall: 0.8601, relative_absolute_error: 0.7604, 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 texture

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9824, kappa: 0.9806, kb_relative_information_score: 5216.5242, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9825, predictive_accuracy: 0.9824, prior_entropy: 3.4594, recall: 0.9824, relative_absolute_error: 0.1068, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0655, root_relative_squared_error: 0.2279,

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: 0.9331, f_measure: 0.8669, kappa: 0.7338, kb_relative_information_score: 1289.5464, mean_absolute_error: 0.2757, 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: 0.5513, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.6668,

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: 0.9934, kappa: 0.9867, kb_relative_information_score: 1318.2579, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0471, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0723, root_relative_squared_error: 0.1454,

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: 0.96, kappa: 0.9556, kb_relative_information_score: 1596.3919, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9604, predictive_accuracy: 0.96, prior_entropy: 3.3219, recall: 0.96, relative_absolute_error: 0.3617, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.4503,

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: 0.9316, f_measure: 0.8636, kappa: 0.6918, kb_relative_information_score: 586.8158, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8639, predictive_accuracy: 0.8654, prior_entropy: 0.9226, recall: 0.8654, relative_absolute_error: 0.4659, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3082, 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 analcatdata_authorship

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9913, kb_relative_information_score: 698.5761, mean_absolute_error: 0.0889, 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: 0.2586, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.133, root_relative_squared_error: 0.3208,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9838, kappa: 0.8385, kb_relative_information_score: 3168.9458, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9837, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.4756,

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: 0.7554, f_measure: 0.6864, kappa: 0.197, kb_relative_information_score: 74.9923, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6836, predictive_accuracy: 0.7153, prior_entropy: 0.865, recall: 0.7153, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.9173,

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: 0.9074, f_measure: 0.6532, kappa: 0.5582, kb_relative_information_score: 372.9144, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6645, predictive_accuracy: 0.659, prior_entropy: 2.2629, recall: 0.659, relative_absolute_error: 0.6175, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.7575,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9371, kappa: 0.9292, kb_relative_information_score: 937.3048, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9375, predictive_accuracy: 0.937, prior_entropy: 3.1699, recall: 0.937, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.3744,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.8191, kappa: 0.4083, kb_relative_information_score: 138.455, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8193, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.338, root_relative_squared_error: 0.8373,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9775, kappa: 0.975, kb_relative_information_score: 1813.0434, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9777, predictive_accuracy: 0.9775, prior_entropy: 3.3219, recall: 0.9775, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.2941,

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: 0.7965, f_measure: 0.7361, kappa: 0.3447, kb_relative_information_score: 186.4774, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7509, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.8119, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8787,

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: 0.5639, f_measure: 0.1918, kappa: 0.0334, kb_relative_information_score: 54.9153, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1927, predictive_accuracy: 0.1995, prior_entropy: 2.5803, recall: 0.1995, relative_absolute_error: 0.9857, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.9991,

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: 0.9948, f_measure: 0.9704, kappa: 0.94, kb_relative_information_score: 9986.4313, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9705, predictive_accuracy: 0.9704, prior_entropy: 0.9906, recall: 0.9704, relative_absolute_error: 0.1057, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.15, root_relative_squared_error: 0.3019,

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: 0.9952, kappa: 0.9931, kb_relative_information_score: 674.3762, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.148, root_relative_squared_error: 0.357,

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: 0.9912, f_measure: 0.9854, kappa: 0.8537, kb_relative_information_score: 3203.0369, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9853, predictive_accuracy: 0.9857, prior_entropy: 0.3037, recall: 0.9857, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.472,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.915, kappa: 0.7946, kb_relative_information_score: 3585.9984, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9149, predictive_accuracy: 0.9152, prior_entropy: 0.8733, recall: 0.9152, relative_absolute_error: 0.3488, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.5591,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9825, kappa: 0.8238, kb_relative_information_score: 3050.3643, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9824, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1121, root_relative_squared_error: 0.4964,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5579, f_measure: 0.1898, kappa: 0.0309, kb_relative_information_score: 63.6393, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1886, predictive_accuracy: 0.1957, prior_entropy: 2.5803, recall: 0.1957, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3762, root_relative_squared_error: 1.0101,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 721.5751, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.3074, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.3693,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.9258, kappa: 0.2511, kb_relative_information_score: -540.082, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9295, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.854,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9748, kappa: 0.9722, kb_relative_information_score: 828.3192, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9752, predictive_accuracy: 0.9747, prior_entropy: 3.4594, recall: 0.9747, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.4063,

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

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

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

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

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.7592, kappa: 0.4636, kb_relative_information_score: 245.2484, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7582, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.398, root_relative_squared_error: 0.8349,

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

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

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.8064, kappa: 0.6097, kb_relative_information_score: 1563.5615, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8065, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7528,

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

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

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

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

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.8414, kappa: 0.825, kb_relative_information_score: 1538.5831, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8412, predictive_accuracy: 0.8425, prior_entropy: 3.3219, recall: 0.8425, relative_absolute_error: 0.3866, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.5336,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9669, kappa: 0.9655, kb_relative_information_score: 18426.0012, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.967, predictive_accuracy: 0.9669, prior_entropy: 4.6998, recall: 0.9669, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0621, root_relative_squared_error: 0.323,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.7845, kappa: 0.57, kb_relative_information_score: 626.1641, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7879, predictive_accuracy: 0.785, prior_entropy: 1, recall: 0.785, relative_absolute_error: 0.8013, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8365,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9521, kappa: 0.9221, kb_relative_information_score: 2715.447, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9525, predictive_accuracy: 0.952, prior_entropy: 1.48, recall: 0.952, relative_absolute_error: 0.1912, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3659,

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

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

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.8366, kappa: 0.3108, kb_relative_information_score: 159.2913, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8351, predictive_accuracy: 0.8587, prior_entropy: 0.622, recall: 0.8587, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.8855,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.8616, kappa: 0.1125, kb_relative_information_score: -252.7887, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8541, predictive_accuracy: 0.8938, prior_entropy: 0.478, recall: 0.8938, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.278, root_relative_squared_error: 0.917,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.7092, kappa: 0.6789, kb_relative_information_score: 1488.0884, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7111, predictive_accuracy: 0.711, prior_entropy: 3.3219, recall: 0.711, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.6229,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.7382, kappa: 0.3504, kb_relative_information_score: 190.9564, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7499, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8829,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1315.4552, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0492, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.1591,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.738, f_measure: 0.5551, kappa: 0.3078, kb_relative_information_score: 372.5858, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5576, predictive_accuracy: 0.558, prior_entropy: 1.5392, recall: 0.558, relative_absolute_error: 0.8148, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.9156,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 731.3149, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.3815,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9686, kappa: 0.9656, kb_relative_information_score: 854.4484, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9688, predictive_accuracy: 0.9687, prior_entropy: 3.4594, recall: 0.9687, relative_absolute_error: 0.2805, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.3773,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5390.3764, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 1.7151, recall: 0.9967, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0388, root_relative_squared_error: 0.0954,

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: 0.932, f_measure: 0.8627, kappa: 0.7254, kb_relative_information_score: 1275.7135, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8627, predictive_accuracy: 0.8627, prior_entropy: 1, recall: 0.8627, relative_absolute_error: 0.5564, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.671,

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: 0.9731, kappa: 0.9455, kb_relative_information_score: 10142.9036, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9731, predictive_accuracy: 0.9731, prior_entropy: 0.9906, recall: 0.9731, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.28,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9393, kappa: 0.9293, kb_relative_information_score: 2126.7944, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9396, predictive_accuracy: 0.9394, prior_entropy: 2.8074, recall: 0.9394, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.3262,

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: 0.9282, f_measure: 0.722, kappa: 0.6407, kb_relative_information_score: 553.939, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.717, predictive_accuracy: 0.7305, prior_entropy: 1.9991, recall: 0.7305, relative_absolute_error: 0.4278, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.6362,

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: 0.9902, kappa: 0.9891, kb_relative_information_score: 10591.6082, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9902, predictive_accuracy: 0.9902, prior_entropy: 3.3208, recall: 0.9902, relative_absolute_error: 0.0755, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0544, root_relative_squared_error: 0.1814,

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: 0.9893, kappa: 0.9844, kb_relative_information_score: 693.2153, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 1.7898, recall: 0.9893, relative_absolute_error: 0.2648, 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 letter

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9638, kappa: 0.9623, kb_relative_information_score: 18304.0444, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9641, predictive_accuracy: 0.9638, prior_entropy: 4.6998, recall: 0.9638, relative_absolute_error: 0.195, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0647, root_relative_squared_error: 0.3365,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9573, kappa: 0.9306, kb_relative_information_score: 2354.4404, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9574, predictive_accuracy: 0.9573, prior_entropy: 1.48, recall: 0.9573, relative_absolute_error: 0.3484, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4462,

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: 0.9066, f_measure: 0.9282, kappa: 0.2851, kb_relative_information_score: -517.2365, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9298, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7431, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.8532,

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: 0.9235, f_measure: 0.8551, kappa: 0.7066, kb_relative_information_score: 388.3899, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8551, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4697, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.326, root_relative_squared_error: 0.656,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.7145, kappa: 0.6844, kb_relative_information_score: 1488.753, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7164, predictive_accuracy: 0.716, prior_entropy: 3.3219, recall: 0.716, relative_absolute_error: 0.397, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.6226,

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: 0.9979, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 728.2508, mean_absolute_error: 0.1331, 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: 0.2939, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.3781,

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: 0.8256, f_measure: 0.7521, kappa: 0.4474, kb_relative_information_score: 256.4989, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7511, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8374,

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: 0.9073, f_measure: 0.6868, kappa: 0.5945, kb_relative_information_score: 4783.5975, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6975, predictive_accuracy: 0.6954, prior_entropy: 2.1936, recall: 0.6954, relative_absolute_error: 0.6345, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.7559,

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: 0.992, kappa: 0.9911, kb_relative_information_score: 10677.3074, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 3.3208, recall: 0.992, relative_absolute_error: 0.0599, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.048, root_relative_squared_error: 0.1601,

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: 0.9956, kappa: 0.9934, kb_relative_information_score: 5256.763, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7151, recall: 0.9956, relative_absolute_error: 0.057, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.1409,

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: 0.9903, f_measure: 0.8933, kappa: 0.8792, kb_relative_information_score: 947.7189, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8947, predictive_accuracy: 0.8926, prior_entropy: 3.1699, recall: 0.8926, relative_absolute_error: 0.1754, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.128, root_relative_squared_error: 0.4073,

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: 0.9949, f_measure: 0.9724, kappa: 0.9441, kb_relative_information_score: 10165.4784, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9724, predictive_accuracy: 0.9724, prior_entropy: 0.9906, recall: 0.9724, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.282,

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: 0.9828, kappa: 0.981, kb_relative_information_score: 5216.9081, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9829, predictive_accuracy: 0.9827, prior_entropy: 3.4594, recall: 0.9827, relative_absolute_error: 0.1068, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0653, root_relative_squared_error: 0.2273,

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: 0.9462, kappa: 0.7448, kb_relative_information_score: 323.4201, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8624, prior_entropy: 1.3212, recall: 0.8624, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.6395,

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: 0.7379, f_measure: 0.5443, kappa: 0.2925, kb_relative_information_score: 293.7071, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5454, predictive_accuracy: 0.5513, prior_entropy: 1.5392, recall: 0.5513, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.9177,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.8327, kappa: 0.454, kb_relative_information_score: 139.0499, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.834, predictive_accuracy: 0.8467, prior_entropy: 0.734, recall: 0.8467, relative_absolute_error: 0.6718, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.8436,

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: 0.9991, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 775.7327, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.2351, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.3268,

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: 0.9664, f_measure: 0.7717, kappa: 0.7483, kb_relative_information_score: 1461.9403, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7711, predictive_accuracy: 0.7735, prior_entropy: 3.3219, recall: 0.7735, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.184, root_relative_squared_error: 0.6134,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.976, kappa: 0.9476, kb_relative_information_score: 1586.9984, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9767, predictive_accuracy: 0.9757, prior_entropy: 1.2099, recall: 0.9757, relative_absolute_error: 0.1062, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.2756,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9686, kappa: 0.949, kb_relative_information_score: 2307.6259, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9686, predictive_accuracy: 0.9687, prior_entropy: 1.4804, recall: 0.9687, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4519,

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: 0.8463, f_measure: 0.8669, kappa: 0.1383, kb_relative_information_score: -203.8674, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8744, predictive_accuracy: 0.9008, prior_entropy: 0.478, recall: 0.9008, relative_absolute_error: 0.8213, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.9058,

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: 0.9587, f_measure: 0.7769, kappa: 0.7556, kb_relative_information_score: 1411.3737, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7745, predictive_accuracy: 0.78, prior_entropy: 3.3219, recall: 0.78, relative_absolute_error: 0.4271, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6409,

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: 0.7101, kappa: 0.68, kb_relative_information_score: 1487.341, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7121, predictive_accuracy: 0.712, prior_entropy: 3.3219, recall: 0.712, relative_absolute_error: 0.3923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.6271,

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: 0.9981, f_measure: 0.971, kappa: 0.9369, kb_relative_information_score: 1542.1398, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9725, predictive_accuracy: 0.9705, prior_entropy: 1.2099, recall: 0.9705, relative_absolute_error: 0.1413, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.3235,

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: 0.9273, f_measure: 0.8697, kappa: 0.7364, kb_relative_information_score: 418.4853, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8699, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.4241, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6311,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set 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: 1308.8815, mean_absolute_error: 0.0276, 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: 0.0559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.1547,

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: 0.9978, f_measure: 0.9635, kappa: 0.9594, kb_relative_information_score: 1524.3929, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9638, predictive_accuracy: 0.9635, prior_entropy: 3.3219, recall: 0.9635, relative_absolute_error: 0.4211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.4929,

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: 0.9851, kappa: 0.9834, kb_relative_information_score: 5191.9207, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9851, predictive_accuracy: 0.9851, prior_entropy: 3.3218, recall: 0.9851, relative_absolute_error: 0.1517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.078, root_relative_squared_error: 0.2599,

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: 0.9945, f_measure: 0.9655, kappa: 0.944, kb_relative_information_score: 2269.7118, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 1.4804, recall: 0.9655, relative_absolute_error: 0.3888, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.4636,

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: 0.9608, f_measure: 0.7093, kappa: 0.6789, kb_relative_information_score: 1481.4728, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7106, predictive_accuracy: 0.711, prior_entropy: 3.3219, recall: 0.711, relative_absolute_error: 0.391, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.6359,

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: 0.9963, f_measure: 0.9907, kappa: 0.9188, kb_relative_information_score: 3092.0997, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.3333, recall: 0.9907, relative_absolute_error: 0.1173, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.3485,

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: 0.9614, f_measure: 0.7123, kappa: 0.6817, kb_relative_information_score: 1496.6418, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7147, predictive_accuracy: 0.7135, prior_entropy: 3.3219, recall: 0.7135, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.6276,

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