OpenML

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: 0.9892, f_measure: 0.9578, kappa: 0.9096, kb_relative_information_score: 483.5746, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.3822,

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: 0.992, f_measure: 0.9232, kappa: 0.9146, kb_relative_information_score: 655.7254, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9237, predictive_accuracy: 0.9241, prior_entropy: 3.1699, recall: 0.9241, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.204, root_relative_squared_error: 0.6492,

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: 0.8803, f_measure: 0.8096, kappa: 0.6161, kb_relative_information_score: 1632.1246, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5997, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7505,

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: 0.9995, f_measure: 0.9822, kappa: 0.9741, kb_relative_information_score: 757.1848, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9825, predictive_accuracy: 0.9822, prior_entropy: 1.7898, recall: 0.9822, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.2611,

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: 952.4021, mean_absolute_error: 0.0511, 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: 0.2338, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1005, root_relative_squared_error: 0.304,

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: 0.9264, f_measure: 0.8507, kappa: 0.6979, kb_relative_information_score: 379.0065, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8508, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6576,

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: 0.9923, kappa: 0.9914, kb_relative_information_score: 10717.3149, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 3.3208, recall: 0.9923, relative_absolute_error: 0.0521, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0453, root_relative_squared_error: 0.151,

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: 0.9114, f_measure: 0.691, kappa: 0.5999, kb_relative_information_score: 4776.8842, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7045, predictive_accuracy: 0.6999, prior_entropy: 2.1936, recall: 0.6999, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.7524,

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: 0.9628, kappa: 0.9178, kb_relative_information_score: 602.1458, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9629, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.1485, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.3696,

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: 0.9298, f_measure: 0.8668, kappa: 0.6993, kb_relative_information_score: 585.6849, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8668, predictive_accuracy: 0.8682, prior_entropy: 0.9226, recall: 0.8682, relative_absolute_error: 0.466, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.6523,

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: 0.9245, f_measure: 0.8578, kappa: 0.7119, kb_relative_information_score: 355.7108, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8578, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.5251, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6707,

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: 683.5115, mean_absolute_error: 0.0973, 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: 0.2829, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.3452,

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: 0.9189, f_measure: 0.9263, kappa: 0.4756, kb_relative_information_score: 92.7008, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9264, predictive_accuracy: 0.9352, prior_entropy: 0.4254, recall: 0.9352, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.7618,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 941.3834, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9964, predictive_accuracy: 0.9963, prior_entropy: 2.9931, recall: 0.9963, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.3166,

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: 0.886, f_measure: 0.9263, kappa: 0.4756, kb_relative_information_score: 90.1198, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9264, predictive_accuracy: 0.9352, prior_entropy: 0.4254, recall: 0.9352, relative_absolute_error: 0.6124, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.7816,

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: 0.9209, f_measure: 0.8622, kappa: 0.721, kb_relative_information_score: 391.8182, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8622, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.6607,

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: 0.8717, f_measure: 0.6197, kappa: 0.4969, kb_relative_information_score: 2739.0948, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6141, predictive_accuracy: 0.6319, prior_entropy: 2.3005, recall: 0.6319, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.8175,

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: 0.9101, f_measure: 0.8593, kappa: 0.7151, kb_relative_information_score: 358.2515, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8593, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.5176, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.6896,

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: 0.9092, f_measure: 0.6864, kappa: 0.5944, kb_relative_information_score: 4706.9411, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.701, predictive_accuracy: 0.6961, prior_entropy: 2.1936, recall: 0.6961, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.7569,

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: 0.8264, f_measure: 0.7545, kappa: 0.4523, kb_relative_information_score: 247.9171, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7536, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8387,

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: 0.8648, f_measure: 0.92, kappa: 0.2943, kb_relative_information_score: -265.0515, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9163, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.8999,

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: 0.9991, f_measure: 0.9743, kappa: 0.9441, kb_relative_information_score: 1579.7743, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9754, predictive_accuracy: 0.974, prior_entropy: 1.2099, recall: 0.974, relative_absolute_error: 0.1103, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.2889,

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: 0.8734, f_measure: 0.6208, kappa: 0.4984, kb_relative_information_score: 2690.2385, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6156, predictive_accuracy: 0.6337, prior_entropy: 2.3005, recall: 0.6337, relative_absolute_error: 0.6536, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2882, 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 segment

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9367, kappa: 0.9263, kb_relative_information_score: 2127.5136, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.937, predictive_accuracy: 0.9368, prior_entropy: 2.8074, recall: 0.9368, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.3319,

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: 0.9484, f_measure: 0.8083, kappa: 0.7516, kb_relative_information_score: 1395.0665, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.81, predictive_accuracy: 0.8083, prior_entropy: 2.4138, recall: 0.8083, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.5965,

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: 10573.1835, mean_absolute_error: 0.0142, 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: 0.0792, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.1847,

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: 0.927, f_measure: 0.8654, kappa: 0.7279, kb_relative_information_score: 384.2511, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8659, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.6435,

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: 0.9922, f_measure: 0.9843, kappa: 0.8433, kb_relative_information_score: 3158.0141, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9841, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1068, root_relative_squared_error: 0.4728,

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: 0.8158, f_measure: 0.8204, kappa: 0.418, kb_relative_information_score: 139.5135, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8182, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6715, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.8459,

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: 0.992, kappa: 0.9838, kb_relative_information_score: 1292.3545, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.1693,

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: 0.9066, f_measure: 0.6825, kappa: 0.5894, kb_relative_information_score: 4622.1869, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6975, predictive_accuracy: 0.6925, prior_entropy: 2.1936, recall: 0.6925, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.7628,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9729, kappa: 0.945, kb_relative_information_score: 10229.7193, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9729, predictive_accuracy: 0.9729, prior_entropy: 0.9906, recall: 0.9729, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.2761,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9594, kappa: 0.9556, kb_relative_information_score: 723.585, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9601, predictive_accuracy: 0.9596, prior_entropy: 3.4594, recall: 0.9596, relative_absolute_error: 0.4989, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.5545,

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: 0.9847, f_measure: 0.8462, kappa: 0.83, kb_relative_information_score: 1574.9721, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8463, predictive_accuracy: 0.847, prior_entropy: 3.3219, recall: 0.847, relative_absolute_error: 0.3551, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.5203,

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: 0.9907, f_measure: 0.9577, kappa: 0.9094, kb_relative_information_score: 486.933, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1575, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.3575,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.7285, kappa: 0.6486, kb_relative_information_score: 546.0057, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7242, predictive_accuracy: 0.7364, prior_entropy: 1.9991, recall: 0.7364, relative_absolute_error: 0.4451, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.6317,

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: 0.9907, kappa: 0.9897, kb_relative_information_score: 10619.7559, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 3.3208, recall: 0.9907, relative_absolute_error: 0.0702, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0525, root_relative_squared_error: 0.1751,

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: 0.9907, f_measure: 0.9683, kappa: 0.9319, kb_relative_information_score: 489.149, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.953, recall: 0.9684, relative_absolute_error: 0.1543, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.171, root_relative_squared_error: 0.3537,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.967, kappa: 0.9633, kb_relative_information_score: 1656.7934, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9671, predictive_accuracy: 0.967, prior_entropy: 3.3219, recall: 0.967, relative_absolute_error: 0.3164, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.4077,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9917, kappa: 0.9908, kb_relative_information_score: 10624.3243, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 3.3208, recall: 0.9917, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0508, root_relative_squared_error: 0.1694,

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 ozone-level-8hr

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.9273, kappa: 0.2679, kb_relative_information_score: -551.4312, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9312, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7491, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8466,

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: 0.85, f_measure: 0.875, kappa: 0.2083, kb_relative_information_score: -181.9774, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8747, predictive_accuracy: 0.9008, prior_entropy: 0.478, recall: 0.9008, relative_absolute_error: 0.8051, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.9012,

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: 0.7844, f_measure: 0.7476, kappa: 0.3743, kb_relative_information_score: 184.7852, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7583, predictive_accuracy: 0.769, prior_entropy: 0.8818, recall: 0.769, relative_absolute_error: 0.8081, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8862,

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: 0.8416, f_measure: 0.8628, kappa: 0.1173, kb_relative_information_score: -262.7655, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8583, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.8328, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.9158,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9531, kappa: 0.9237, kb_relative_information_score: 2706.8255, mean_absolute_error: 0.0803, 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: 0.1959, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.3652,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9595, kappa: 0.9133, kb_relative_information_score: 485.0515, mean_absolute_error: 0.0745, 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: 0.1594, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.3732,

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: 0.9068, f_measure: 0.6833, kappa: 0.5904, kb_relative_information_score: 4633.5115, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6982, predictive_accuracy: 0.6932, prior_entropy: 2.1936, recall: 0.6932, relative_absolute_error: 0.6517, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.7621,

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: 0.9481, kappa: 0.8012, kb_relative_information_score: 274.0408, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8928, prior_entropy: 1.3212, recall: 0.8928, relative_absolute_error: 0.5687, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.6701,

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, f_measure: 0.8248, kappa: 0.7392, kb_relative_information_score: 326.707, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7932, predictive_accuracy: 0.8592, prior_entropy: 1.3212, recall: 0.8592, relative_absolute_error: 0.4756, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.638,

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: 0.9304, f_measure: 0.7515, kappa: 0.6786, kb_relative_information_score: 560.2532, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7472, predictive_accuracy: 0.7589, prior_entropy: 1.9991, recall: 0.7589, relative_absolute_error: 0.4201, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.6297,

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: 0.7094, kappa: 0.6794, kb_relative_information_score: 1486.0786, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7116, predictive_accuracy: 0.7115, prior_entropy: 3.3219, recall: 0.7115, relative_absolute_error: 0.3981, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.626,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9647, kappa: 0.9244, kb_relative_information_score: 489.1221, mean_absolute_error: 0.0717, 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: 0.1533, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.3556,

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: 0.8309, f_measure: 0.7654, kappa: 0.4769, kb_relative_information_score: 251.1506, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7647, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8329,

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: 0.8746, f_measure: 0.6225, kappa: 0.5006, kb_relative_information_score: 2674.7391, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6181, predictive_accuracy: 0.6362, prior_entropy: 2.3005, recall: 0.6362, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.813,

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: 0.9969, kappa: 0.9953, kb_relative_information_score: 5403.7892, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 1.7151, recall: 0.9969, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0366, root_relative_squared_error: 0.09,

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: 0.8287, f_measure: 0.8385, kappa: 0.314, kb_relative_information_score: 186.5641, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8404, predictive_accuracy: 0.8625, prior_entropy: 0.622, recall: 0.8625, relative_absolute_error: 0.7604, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.8819,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 3136.3732, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9986, recall: 0.995, relative_absolute_error: 0.0208, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.067, root_relative_squared_error: 0.1341,

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: 0.935, f_measure: 0.8637, kappa: 0.7238, kb_relative_information_score: 371.4504, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8636, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4992, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.324, root_relative_squared_error: 0.652,

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: 0.9926, kappa: 0.9915, kb_relative_information_score: 951.6895, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9927, predictive_accuracy: 0.9926, prior_entropy: 2.9931, recall: 0.9926, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0998, root_relative_squared_error: 0.302,

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: 0.9635, kappa: 0.9594, kb_relative_information_score: 1554.6901, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9637, predictive_accuracy: 0.9635, prior_entropy: 3.3219, recall: 0.9635, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.4737,

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: 0.9337, f_measure: 0.8681, kappa: 0.7362, kb_relative_information_score: 1280.7978, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8682, predictive_accuracy: 0.8681, prior_entropy: 1, recall: 0.8681, relative_absolute_error: 0.5549, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6681,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.8003, kappa: 0.7414, kb_relative_information_score: 1382.8256, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8022, predictive_accuracy: 0.8006, prior_entropy: 2.4138, recall: 0.8006, relative_absolute_error: 0.4039, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.5982,

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: 0.8399, f_measure: 0.8649, kappa: 0.1339, kb_relative_information_score: -254.2818, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8613, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.9169,

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: 0.9767, kappa: 0.9744, kb_relative_information_score: 852.2916, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.977, predictive_accuracy: 0.9768, prior_entropy: 3.4594, recall: 0.9768, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1078, 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-fourier

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.843, kappa: 0.8261, kb_relative_information_score: 1583.3766, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8431, predictive_accuracy: 0.8435, prior_entropy: 3.3219, recall: 0.8435, relative_absolute_error: 0.3471, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.5178,

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: 0.9907, f_measure: 0.963, kappa: 0.9205, kb_relative_information_score: 485.6307, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9631, predictive_accuracy: 0.9631, prior_entropy: 0.953, recall: 0.9631, relative_absolute_error: 0.1602, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3665,

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: 0.9657, f_measure: 0.9138, kappa: 0.7914, kb_relative_information_score: 3567.4395, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9136, predictive_accuracy: 0.9141, prior_entropy: 0.8733, recall: 0.9141, relative_absolute_error: 0.3534, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.5601,

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: 0.874, f_measure: 0.6196, kappa: 0.4968, kb_relative_information_score: 2648.6575, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6148, predictive_accuracy: 0.6332, prior_entropy: 2.3005, recall: 0.6332, relative_absolute_error: 0.663, 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 mfeat-morphological

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.7171, kappa: 0.6867, kb_relative_information_score: 1497.3691, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.72, predictive_accuracy: 0.718, prior_entropy: 3.3219, recall: 0.718, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.6264,

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: 0.9394, f_measure: 0.8962, kappa: 0.4854, kb_relative_information_score: 397.639, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8934, predictive_accuracy: 0.9033, prior_entropy: 0.5368, recall: 0.9033, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.7715,

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: 0.9621, kappa: 0.9606, kb_relative_information_score: 18573.1923, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9624, predictive_accuracy: 0.9621, prior_entropy: 4.6998, recall: 0.9621, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.3144,

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: 0.9697, kappa: 0.9667, kb_relative_information_score: 821.14, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9702, predictive_accuracy: 0.9697, prior_entropy: 3.4594, recall: 0.9697, relative_absolute_error: 0.3426, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.121, root_relative_squared_error: 0.4209,

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: 0.9125, f_measure: 0.9498, kappa: 0.7839, kb_relative_information_score: 2802.6098, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9511, predictive_accuracy: 0.9522, prior_entropy: 0.5883, recall: 0.9522, relative_absolute_error: 0.4408, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.5931,

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: 0.9184, f_measure: 0.9519, kappa: 0.7943, kb_relative_information_score: 3125.6418, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9526, predictive_accuracy: 0.9538, prior_entropy: 0.5883, recall: 0.9538, relative_absolute_error: 0.3645, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.5731,

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: 0.9842, f_measure: 0.8385, kappa: 0.8211, kb_relative_information_score: 1575.1643, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8389, predictive_accuracy: 0.839, prior_entropy: 3.3219, recall: 0.839, relative_absolute_error: 0.3525, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.5215,

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: 0.6208, kappa: 0.498, kb_relative_information_score: 2681.5921, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6163, predictive_accuracy: 0.6334, prior_entropy: 2.3005, recall: 0.6334, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.8138,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9654, kappa: 0.964, kb_relative_information_score: 18828.1869, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9655, predictive_accuracy: 0.9654, prior_entropy: 4.6998, recall: 0.9654, relative_absolute_error: 0.1335, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0551, root_relative_squared_error: 0.2866,

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: 0.9976, f_measure: 0.948, kappa: 0.9421, kb_relative_information_score: 1284.1777, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9484, predictive_accuracy: 0.9479, prior_entropy: 3.3218, recall: 0.9479, relative_absolute_error: 0.346, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.4471,

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: 5394.9424, mean_absolute_error: 0.005, 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: 0.0152, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.038, root_relative_squared_error: 0.0934,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 1852.2994, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9765, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.1377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.2683,

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: 0.993, f_measure: 0.9729, kappa: 0.9402, kb_relative_information_score: 607.1929, mean_absolute_error: 0.0661, 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: 0.1463, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.3391,

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: 0.9729, kappa: 0.9402, kb_relative_information_score: 603.9468, mean_absolute_error: 0.0684, 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: 0.1514, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.344,

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: 0.879, f_measure: 0.8099, kappa: 0.6167, kb_relative_information_score: 1710.6542, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.81, predictive_accuracy: 0.8102, prior_entropy: 0.9948, recall: 0.8102, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7488,

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: 0.9949, f_measure: 0.9366, kappa: 0.9263, kb_relative_information_score: 2111.1935, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9367, predictive_accuracy: 0.9368, prior_entropy: 2.8074, recall: 0.9368, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1177, 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 tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 730.1505, 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: 0.1752, root_relative_squared_error: 0.3682,

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: 0.7918, f_measure: 0.7332, kappa: 0.3381, kb_relative_information_score: 182.5175, mean_absolute_error: 0.3417, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7448, predictive_accuracy: 0.758, prior_entropy: 0.8818, recall: 0.758, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8828,

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: 0.9806, kappa: 0.9786, kb_relative_information_score: 5262.3522, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9807, predictive_accuracy: 0.9805, prior_entropy: 3.4594, recall: 0.9805, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0615, root_relative_squared_error: 0.2139,

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: 0.9932, f_measure: 0.9729, kappa: 0.9402, kb_relative_information_score: 594.904, mean_absolute_error: 0.0763, 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: 0.1689, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.3481,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9734, kappa: 0.946, kb_relative_information_score: 9814.2739, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9734, predictive_accuracy: 0.9734, prior_entropy: 0.9906, recall: 0.9734, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1461, 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 eucalyptus

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.6507, kappa: 0.553, kb_relative_information_score: 412.937, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6545, predictive_accuracy: 0.6522, prior_entropy: 2.2629, recall: 0.6522, relative_absolute_error: 0.5515, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.7447,

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: 0.7875, f_measure: 0.7448, kappa: 0.369, kb_relative_information_score: 198.1014, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7498, predictive_accuracy: 0.763, prior_entropy: 0.8818, recall: 0.763, relative_absolute_error: 0.794, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8821,

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: 0.993, f_measure: 0.9743, kappa: 0.9434, kb_relative_information_score: 594.0955, mean_absolute_error: 0.0767, 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: 0.1697, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3501,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7372, f_measure: 0.6688, kappa: 0.1517, kb_relative_information_score: 64.2035, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6627, predictive_accuracy: 0.6998, prior_entropy: 0.865, recall: 0.6998, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.932,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9959, kappa: 0.9918, kb_relative_information_score: 3141.9851, mean_absolute_error: 0.0095, 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: 0.0191, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.061, root_relative_squared_error: 0.1222,

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: 0.9985, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 711.6911, mean_absolute_error: 0.1421, 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: 0.3136, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.3944,

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: 0.7326, f_measure: 0.5472, kappa: 0.2962, kb_relative_information_score: 366.7754, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5485, predictive_accuracy: 0.5506, prior_entropy: 1.5392, recall: 0.5506, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.9197,

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: 0.9926, f_measure: 0.9176, kappa: 0.901, kb_relative_information_score: 5559.5476, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.918, predictive_accuracy: 0.9201, prior_entropy: 2.4836, recall: 0.9201, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.3976,

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: 0.9675, kappa: 0.9639, kb_relative_information_score: 1509.8596, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9678, predictive_accuracy: 0.9675, prior_entropy: 3.3219, recall: 0.9675, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.4987,

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: 0.9845, f_measure: 0.8435, kappa: 0.8267, kb_relative_information_score: 1611.1267, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8436, predictive_accuracy: 0.844, prior_entropy: 3.3219, recall: 0.844, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.5084,

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