OpenML

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: 0.9201, f_measure: 0.8507, kappa: 0.6977, kb_relative_information_score: 409.2853, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8507, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.6564,

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: 0.9853, f_measure: 0.8497, kappa: 0.8333, kb_relative_information_score: 1628.5805, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 3.3219, recall: 0.85, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.4998,

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: 0.9285, f_measure: 0.8596, kappa: 0.716, kb_relative_information_score: 405.2552, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8599, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.4441, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.6382,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.7837, kappa: 0.2338, kb_relative_information_score: 816.898, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7953, predictive_accuracy: 0.8225, prior_entropy: 0.7088, recall: 0.8225, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9184,

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: 0.8221, f_measure: 0.8373, kappa: 0.3092, kb_relative_information_score: 160.6249, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8389, predictive_accuracy: 0.8615, prior_entropy: 0.622, recall: 0.8615, relative_absolute_error: 0.7697, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.8899,

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: 0.998, f_measure: 0.963, kappa: 0.9589, kb_relative_information_score: 1618.2103, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9631, predictive_accuracy: 0.963, prior_entropy: 3.3219, recall: 0.963, relative_absolute_error: 0.3463, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.4349,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.984, kappa: 0.9822, kb_relative_information_score: 5252.1724, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 3.3218, recall: 0.984, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.242,

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: 0.9993, f_measure: 0.9934, kappa: 0.9868, kb_relative_information_score: 2968.6144, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9986, recall: 0.9934, relative_absolute_error: 0.0874, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.1911,

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: 0.9948, f_measure: 0.9471, kappa: 0.9406, kb_relative_information_score: 755.4142, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9475, predictive_accuracy: 0.9472, prior_entropy: 3.1699, recall: 0.9472, relative_absolute_error: 0.4933, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.5577,

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: 0.8464, f_measure: 0.8742, kappa: 0.2018, kb_relative_information_score: -201.2, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8745, predictive_accuracy: 0.9008, prior_entropy: 0.478, recall: 0.9008, relative_absolute_error: 0.8066, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.9,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9385, kappa: 0.9283, kb_relative_information_score: 2131.8385, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9386, predictive_accuracy: 0.9385, prior_entropy: 2.8074, recall: 0.9385, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.3239,

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 analcatdata_dmft

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5724, f_measure: 0.2114, kappa: 0.0539, kb_relative_information_score: 53.7351, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2183, predictive_accuracy: 0.2171, prior_entropy: 2.5803, recall: 0.2171, relative_absolute_error: 0.9853, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.998,

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: 0.9198, f_measure: 0.855, kappa: 0.7064, kb_relative_information_score: 396.7412, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.855, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4549, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.6592,

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: 761.02, mean_absolute_error: 0.115, 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: 0.2538, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.34,

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: 0.8552, f_measure: 0.92, kappa: 0.2943, kb_relative_information_score: -275.5025, mean_absolute_error: 0.1021, 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: 0.786, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.9045,

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: 0.9119, f_measure: 0.6797, kappa: 0.5907, kb_relative_information_score: 414.9312, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6868, predictive_accuracy: 0.6821, prior_entropy: 2.2629, recall: 0.6821, relative_absolute_error: 0.5519, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.7387,

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: 0.5663, f_measure: 0.2036, kappa: 0.0427, kb_relative_information_score: 58.7841, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2093, predictive_accuracy: 0.207, prior_entropy: 2.5803, recall: 0.207, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3737, root_relative_squared_error: 1.0034,

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: 10730.6495, mean_absolute_error: 0.0088, 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: 0.0489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.045, root_relative_squared_error: 0.1501,

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: 0.9234, f_measure: 0.9227, kappa: 0.4264, kb_relative_information_score: 34.3579, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9335, predictive_accuracy: 0.937, prior_entropy: 0.4254, recall: 0.937, relative_absolute_error: 0.709, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.8015,

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: 0.9957, f_measure: 0.9738, kappa: 0.9468, kb_relative_information_score: 10202.6232, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 0.9906, recall: 0.9738, relative_absolute_error: 0.0828, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.281,

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: 0.9664, f_measure: 0.9157, kappa: 0.7963, kb_relative_information_score: 3626.899, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9155, predictive_accuracy: 0.9158, prior_entropy: 0.8733, recall: 0.9158, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.5561,

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: 0.998, f_measure: 0.962, kappa: 0.9578, kb_relative_information_score: 1582.0451, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9622, predictive_accuracy: 0.962, prior_entropy: 3.3219, recall: 0.962, relative_absolute_error: 0.3744, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.4589,

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: 0.9366, kappa: 0.7359, kb_relative_information_score: 267.2338, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8576, prior_entropy: 1.3212, recall: 0.8576, relative_absolute_error: 0.578, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.299, root_relative_squared_error: 0.6864,

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: 1310.6339, mean_absolute_error: 0.0269, 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: 0.0545, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.1497,

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: 0.9626, f_measure: 0.7651, kappa: 0.7422, kb_relative_information_score: 1437.6819, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7634, predictive_accuracy: 0.768, prior_entropy: 3.3219, recall: 0.768, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.627,

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: 0.7376, f_measure: 0.5594, kappa: 0.3156, kb_relative_information_score: 353.4514, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5614, predictive_accuracy: 0.5614, prior_entropy: 1.5392, recall: 0.5614, relative_absolute_error: 0.8281, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.9132,

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: 0.8291, f_measure: 0.7518, kappa: 0.4464, kb_relative_information_score: 256.7217, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7509, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8352,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.987, kappa: 0.8847, kb_relative_information_score: 2691.0452, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.987, predictive_accuracy: 0.9873, prior_entropy: 0.3333, recall: 0.9873, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.3876,

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: 0.9129, f_measure: 0.9301, kappa: 0.3007, kb_relative_information_score: -542.4076, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9343, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7484, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8511,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.5296, kappa: 0.2709, kb_relative_information_score: 277.2088, mean_absolute_error: 0.3782, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5287, predictive_accuracy: 0.5384, prior_entropy: 1.5392, recall: 0.5384, relative_absolute_error: 0.8778, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9262,

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: 0.9991, f_measure: 0.9665, kappa: 0.9633, kb_relative_information_score: 835.9009, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 3.4594, recall: 0.9667, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.4074,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 3095.8221, mean_absolute_error: 0.0186, 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: 0.0372, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0723, root_relative_squared_error: 0.1447,

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: 0.8342, f_measure: 0.7577, kappa: 0.4588, kb_relative_information_score: 239.5936, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7574, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8305,

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: 0.9987, f_measure: 0.9662, kappa: 0.9268, kb_relative_information_score: 1373.2951, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9677, predictive_accuracy: 0.9659, prior_entropy: 1.2099, recall: 0.9659, relative_absolute_error: 0.2885, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.4093,

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: 0.9996, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1325.3113, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0389, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.08, root_relative_squared_error: 0.161,

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: 0.9077, f_measure: 0.6679, kappa: 0.5759, kb_relative_information_score: 404.63, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6732, predictive_accuracy: 0.6712, prior_entropy: 2.2629, recall: 0.6712, relative_absolute_error: 0.5663, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.7468,

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: 0.9943, f_measure: 0.9617, kappa: 0.9377, kb_relative_information_score: 2235.4184, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9617, predictive_accuracy: 0.9618, prior_entropy: 1.4804, recall: 0.9618, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.4753,

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: 0.9958, f_measure: 0.969, kappa: 0.9372, kb_relative_information_score: 9909.8008, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9691, predictive_accuracy: 0.9691, prior_entropy: 0.9906, recall: 0.9691, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.3068,

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: 0.9844, f_measure: 0.8424, kappa: 0.8256, kb_relative_information_score: 1592.4616, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8425, predictive_accuracy: 0.843, prior_entropy: 3.3219, recall: 0.843, relative_absolute_error: 0.3396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.5137,

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: 0.9995, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 3139.1488, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9986, recall: 0.9956, relative_absolute_error: 0.0199, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0644, root_relative_squared_error: 0.1289,

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: 0.8684, f_measure: 0.9222, kappa: 0.2935, kb_relative_information_score: -274.9706, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3667, recall: 0.9378, relative_absolute_error: 0.7958, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.8825,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9895, kappa: 0.908, kb_relative_information_score: 2884.6161, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9895, predictive_accuracy: 0.9897, prior_entropy: 0.3333, recall: 0.9897, relative_absolute_error: 0.1551, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.3618,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9685, kappa: 0.965, kb_relative_information_score: 1813.3584, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9688, predictive_accuracy: 0.9685, prior_entropy: 3.3219, recall: 0.9685, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.3028,

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: 0.9962, f_measure: 0.9393, kappa: 0.9293, kb_relative_information_score: 2127.1588, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9395, predictive_accuracy: 0.9394, prior_entropy: 2.8074, recall: 0.9394, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.3214,

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: 0.9993, f_measure: 0.9799, kappa: 0.9563, kb_relative_information_score: 1601.9158, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9805, predictive_accuracy: 0.9797, prior_entropy: 1.2099, recall: 0.9797, relative_absolute_error: 0.0939, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.2622,

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: 0.9959, f_measure: 0.9683, kappa: 0.9358, kb_relative_information_score: 9906.247, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9684, predictive_accuracy: 0.9683, prior_entropy: 0.9906, recall: 0.9683, relative_absolute_error: 0.1135, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.3069,

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: 0.9281, f_measure: 0.9347, kappa: 0.5355, kb_relative_information_score: 94.1739, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9368, predictive_accuracy: 0.9426, prior_entropy: 0.4254, recall: 0.9426, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.746,

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: 0.7257, f_measure: 0.528, kappa: 0.268, kb_relative_information_score: 267.7807, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5278, predictive_accuracy: 0.537, prior_entropy: 1.5392, recall: 0.537, relative_absolute_error: 0.8835, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9275,

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: 0.9983, f_measure: 0.965, kappa: 0.9611, kb_relative_information_score: 1591.0333, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9652, predictive_accuracy: 0.965, prior_entropy: 3.3219, recall: 0.965, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.4495,

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: 0.9205, f_measure: 0.8651, kappa: 0.7269, kb_relative_information_score: 348.6622, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8651, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.5362, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.68,

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: 0.9934, f_measure: 0.9701, kappa: 0.9341, kb_relative_information_score: 607.0022, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9706, predictive_accuracy: 0.97, prior_entropy: 0.9297, recall: 0.97, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.3395,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9584, kappa: 0.9128, kb_relative_information_score: 3796.9321, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9674, recall: 0.9585, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.3845,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.7765, kappa: 0.755, kb_relative_information_score: 1417.2032, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7742, predictive_accuracy: 0.7795, prior_entropy: 3.3219, recall: 0.7795, relative_absolute_error: 0.4213, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.6483,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.6178, kappa: 0.4944, kb_relative_information_score: 2739.4666, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6126, predictive_accuracy: 0.6298, prior_entropy: 2.3005, recall: 0.6298, relative_absolute_error: 0.6371, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.815,

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: 0.7369, f_measure: 0.5516, kappa: 0.3033, kb_relative_information_score: 349.6657, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5534, predictive_accuracy: 0.554, prior_entropy: 1.5392, recall: 0.554, relative_absolute_error: 0.8296, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.9141,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9705, kappa: 0.9672, kb_relative_information_score: 1809.8253, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9708, predictive_accuracy: 0.9705, prior_entropy: 3.3219, recall: 0.9705, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.092, root_relative_squared_error: 0.3065,

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

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

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9578, kappa: 0.9114, kb_relative_information_score: 3819.0275, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.9674, recall: 0.9578, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.384,

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: 0.9465, f_measure: 0.7905, kappa: 0.7277, kb_relative_information_score: 1353.7136, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7934, predictive_accuracy: 0.7903, prior_entropy: 2.4138, recall: 0.7903, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.6097,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9635, kappa: 0.9594, kb_relative_information_score: 1808.0429, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9639, predictive_accuracy: 0.9635, prior_entropy: 3.3219, recall: 0.9635, relative_absolute_error: 0.1771, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.3121,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.551, kappa: 0.3019, kb_relative_information_score: 355.5821, mean_absolute_error: 0.3559, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5528, predictive_accuracy: 0.5526, prior_entropy: 1.5392, recall: 0.5526, relative_absolute_error: 0.826, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.9131,

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: 0.992, kappa: 0.9838, kb_relative_information_score: 1291.9746, mean_absolute_error: 0.0352, 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: 0.0712, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.1703,

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: 0.8171, f_measure: 0.8262, kappa: 0.4358, kb_relative_information_score: 136.7344, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8249, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.678, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.8367,

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: 0.9283, f_measure: 0.8649, kappa: 0.695, kb_relative_information_score: 586.9874, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8649, predictive_accuracy: 0.8664, prior_entropy: 0.9226, recall: 0.8664, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6543,

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: 0.9134, f_measure: 0.9519, kappa: 0.7943, kb_relative_information_score: 3164.5259, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9529, predictive_accuracy: 0.954, prior_entropy: 0.5883, recall: 0.954, relative_absolute_error: 0.3601, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.5661,

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: 0.9959, f_measure: 0.9904, kappa: 0.9156, kb_relative_information_score: 3002.1018, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9903, predictive_accuracy: 0.9905, prior_entropy: 0.3333, recall: 0.9905, relative_absolute_error: 0.1325, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.3676,

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: 0.9419, f_measure: 0.7701, kappa: 0.7472, kb_relative_information_score: 1415.9633, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7682, predictive_accuracy: 0.7725, prior_entropy: 3.3219, recall: 0.7725, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.647,

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: 0.971, kappa: 0.9413, kb_relative_information_score: 9991.8476, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9711, predictive_accuracy: 0.9711, prior_entropy: 0.9906, recall: 0.9711, relative_absolute_error: 0.1059, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.145, root_relative_squared_error: 0.292,

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: 0.9737, kappa: 0.9711, kb_relative_information_score: 852.4499, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9739, predictive_accuracy: 0.9737, prior_entropy: 3.4594, recall: 0.9737, relative_absolute_error: 0.2837, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.3802,

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: 0.9272, f_measure: 0.8622, kappa: 0.6892, kb_relative_information_score: 598.7174, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.862, predictive_accuracy: 0.8635, prior_entropy: 0.9226, recall: 0.8635, relative_absolute_error: 0.4502, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.653,

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: 0.9159, f_measure: 0.6997, kappa: 0.6123, kb_relative_information_score: 4663.4542, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7202, predictive_accuracy: 0.7102, prior_entropy: 2.1936, recall: 0.7102, relative_absolute_error: 0.6531, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.7538,

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: 0.9981, f_measure: 0.9878, kappa: 0.8921, kb_relative_information_score: 2735.8207, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9878, predictive_accuracy: 0.9881, prior_entropy: 0.3333, recall: 0.9881, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.3806,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.968, kappa: 0.9644, kb_relative_information_score: 1807.2314, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9683, predictive_accuracy: 0.968, prior_entropy: 3.3219, recall: 0.968, relative_absolute_error: 0.1801, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.3096,

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: 0.9117, f_measure: 0.8279, kappa: 0.6454, kb_relative_information_score: 241.08, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8302, predictive_accuracy: 0.8296, prior_entropy: 0.9826, recall: 0.8296, relative_absolute_error: 0.5886, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.7173,

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: 1320.4745, mean_absolute_error: 0.022, 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: 0.0446, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.1503,

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: 0.8486, f_measure: 0.8618, kappa: 0.105, kb_relative_information_score: -182.9611, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8604, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.9061,

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: 0.9936, f_measure: 0.9574, kappa: 0.9306, kb_relative_information_score: 2348.462, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9575, predictive_accuracy: 0.9573, prior_entropy: 1.48, recall: 0.9573, relative_absolute_error: 0.3497, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4486,

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: 0.5638, f_measure: 0.1881, kappa: 0.0448, kb_relative_information_score: 37.1925, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2006, predictive_accuracy: 0.2146, prior_entropy: 2.5803, recall: 0.2146, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3725, root_relative_squared_error: 1.0002,

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: 0.8687, f_measure: 0.9191, kappa: 0.2827, kb_relative_information_score: -267.7731, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9156, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.776, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.8887,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9685, kappa: 0.965, kb_relative_information_score: 1817.2482, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9687, predictive_accuracy: 0.9685, prior_entropy: 3.3219, recall: 0.9685, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.2997,

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: 0.9993, f_measure: 0.9816, kappa: 0.9599, kb_relative_information_score: 1605.9529, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.982, predictive_accuracy: 0.9815, prior_entropy: 1.2099, recall: 0.9815, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.2591,

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: 0.9153, f_measure: 0.9284, kappa: 0.2826, kb_relative_information_score: -515.8483, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9318, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7404, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.8469,

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: 0.9851, f_measure: 0.9838, kappa: 0.8379, kb_relative_information_score: 3152.4466, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9836, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.243, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.4831,

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: 0.5671, f_measure: 0.2033, kappa: 0.0499, kb_relative_information_score: 60.068, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2025, predictive_accuracy: 0.212, prior_entropy: 2.5803, recall: 0.212, relative_absolute_error: 0.9849, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3734, root_relative_squared_error: 1.0026,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9675, kappa: 0.9639, kb_relative_information_score: 1821.385, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.968, predictive_accuracy: 0.9675, prior_entropy: 3.3219, recall: 0.9675, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2993,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 690.9698, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.3421, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4067,

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: 0.9213, f_measure: 0.8625, kappa: 0.7222, kb_relative_information_score: 385.3551, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8632, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4758, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.6593,

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: 0.992, f_measure: 0.963, kappa: 0.9207, kb_relative_information_score: 482.4294, mean_absolute_error: 0.0784, 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: 0.1676, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3614,

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: 0.9061, f_measure: 0.6593, kappa: 0.5684, kb_relative_information_score: 363.858, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6702, predictive_accuracy: 0.6671, prior_entropy: 2.2629, recall: 0.6671, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.7612,

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: 0.943, kappa: 0.7923, kb_relative_information_score: 288.5113, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.888, prior_entropy: 1.3212, recall: 0.888, relative_absolute_error: 0.5362, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.6552,

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: 0.7304, f_measure: 0.5469, kappa: 0.2958, kb_relative_information_score: 291.8152, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5475, predictive_accuracy: 0.5526, prior_entropy: 1.5392, recall: 0.5526, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.9216,

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: 0.8318, f_measure: 0.8388, kappa: 0.3191, kb_relative_information_score: 179.8993, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8386, predictive_accuracy: 0.8611, prior_entropy: 0.622, recall: 0.8611, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.319, root_relative_squared_error: 0.8825,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.8449, kappa: 0.8283, kb_relative_information_score: 1551.4539, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8452, predictive_accuracy: 0.8455, prior_entropy: 3.3219, recall: 0.8455, relative_absolute_error: 0.3761, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.5274,

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: 0.9917, kappa: 0.9879, kb_relative_information_score: 690.2409, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.2707, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.3369,

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: 0.9343, f_measure: 0.8638, kappa: 0.7244, kb_relative_information_score: 434.3446, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8639, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6256,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8638, kappa: 0.7277, kb_relative_information_score: 1303.2593, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8639, predictive_accuracy: 0.8638, prior_entropy: 1, recall: 0.8638, relative_absolute_error: 0.5444, 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 churn

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9532, kappa: 0.8004, kb_relative_information_score: 3176.9439, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9538, predictive_accuracy: 0.955, prior_entropy: 0.5883, recall: 0.955, relative_absolute_error: 0.3591, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.5642,

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: 0.7354, f_measure: 0.5564, kappa: 0.3109, kb_relative_information_score: 349.9961, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5581, predictive_accuracy: 0.5587, prior_entropy: 1.5392, recall: 0.5587, relative_absolute_error: 0.8302, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.9148,

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: 0.8191, f_measure: 0.8213, kappa: 0.4226, kb_relative_information_score: 135.2059, mean_absolute_error: 0.2216, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8187, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6785, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.839,

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