OpenML

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: 0.9879, f_measure: 0.9538, kappa: 0.9031, kb_relative_information_score: 3731.1663, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9539, predictive_accuracy: 0.9539, prior_entropy: 0.9674, recall: 0.9539, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.398,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9705, kappa: 0.9693, kb_relative_information_score: 18615.8035, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9706, predictive_accuracy: 0.9705, prior_entropy: 4.6998, recall: 0.9705, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0581, root_relative_squared_error: 0.3023,

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: 0.9852, f_measure: 0.8493, kappa: 0.8333, kb_relative_information_score: 1602.2269, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8495, predictive_accuracy: 0.85, prior_entropy: 3.3219, recall: 0.85, relative_absolute_error: 0.3344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.152, root_relative_squared_error: 0.5066,

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: 0.9987, f_measure: 0.9904, kappa: 0.9156, kb_relative_information_score: 3050.0168, mean_absolute_error: 0.0143, 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: 0.1242, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.3442,

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: 0.9863, f_measure: 0.9547, kappa: 0.905, kb_relative_information_score: 3846.9175, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9547, predictive_accuracy: 0.9548, prior_entropy: 0.9674, recall: 0.9548, relative_absolute_error: 0.179, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.3938,

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: 0.9849, f_measure: 0.8436, kappa: 0.8272, kb_relative_information_score: 1579.1092, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8437, predictive_accuracy: 0.8445, prior_entropy: 3.3219, recall: 0.8445, relative_absolute_error: 0.3517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.518,

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: 0.9301, f_measure: 0.8649, kappa: 0.695, kb_relative_information_score: 586.5341, mean_absolute_error: 0.2081, 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: 0.4654, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.651,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9971, kappa: 0.9956, kb_relative_information_score: 5400.5694, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 1.7151, recall: 0.9971, relative_absolute_error: 0.0141, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0362, root_relative_squared_error: 0.0891,

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: 0.8292, f_measure: 0.7653, kappa: 0.4782, kb_relative_information_score: 250.6584, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7642, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8364,

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: 0.9895, f_measure: 0.963, kappa: 0.9205, kb_relative_information_score: 480.9947, mean_absolute_error: 0.079, 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: 0.169, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.3693,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9644, kappa: 0.963, kb_relative_information_score: 18117.3944, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9647, predictive_accuracy: 0.9644, prior_entropy: 4.6998, recall: 0.9644, relative_absolute_error: 0.2167, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0679, root_relative_squared_error: 0.3529,

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: 0.8808, f_measure: 0.8099, kappa: 0.6166, kb_relative_information_score: 1638.2052, mean_absolute_error: 0.2966, 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: 0.5975, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.75,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 684.8709, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.3399,

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: 0.9906, f_measure: 0.9665, kappa: 0.9282, kb_relative_information_score: 485.8264, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9666, predictive_accuracy: 0.9666, prior_entropy: 0.953, recall: 0.9666, relative_absolute_error: 0.1611, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.354,

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: 0.8282, f_measure: 0.7553, kappa: 0.4524, kb_relative_information_score: 231.5035, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7557, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3988, 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 pc4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.8952, kappa: 0.4677, kb_relative_information_score: 382.3112, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8947, predictive_accuracy: 0.906, prior_entropy: 0.5368, recall: 0.906, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.7582,

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: 0.9644, kappa: 0.963, kb_relative_information_score: 18117.3944, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9647, predictive_accuracy: 0.9644, prior_entropy: 4.6998, recall: 0.9644, relative_absolute_error: 0.2167, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0679, root_relative_squared_error: 0.3529,

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: 0.9927, f_measure: 0.9213, kappa: 0.9053, kb_relative_information_score: 5601.5501, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9217, predictive_accuracy: 0.9235, prior_entropy: 2.4836, recall: 0.9235, relative_absolute_error: 0.1865, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.3903,

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: 0.9185, f_measure: 0.8621, kappa: 0.7204, kb_relative_information_score: 362.8453, mean_absolute_error: 0.2531, 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: 0.5124, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6735,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9676, kappa: 0.9663, kb_relative_information_score: 18578.6312, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9678, predictive_accuracy: 0.9676, prior_entropy: 4.6998, recall: 0.9676, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.3084,

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: 0.9862, f_measure: 0.951, kappa: 0.8972, kb_relative_information_score: 3728.4073, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9511, predictive_accuracy: 0.9511, prior_entropy: 0.9674, recall: 0.9511, relative_absolute_error: 0.2109, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.405,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.7465, kappa: 0.3723, kb_relative_information_score: 194.51, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7538, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.7994, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4042, 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 credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7465, kappa: 0.3737, kb_relative_information_score: 184.0226, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.751, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8891,

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: 0.9488, f_measure: 0.8408, kappa: 0.7666, kb_relative_information_score: 324.0544, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8103, predictive_accuracy: 0.8736, prior_entropy: 1.3212, recall: 0.8736, relative_absolute_error: 0.4765, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.6292,

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: 0.9874, f_measure: 0.9516, kappa: 0.8984, kb_relative_information_score: 3686.08, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9518, predictive_accuracy: 0.9517, prior_entropy: 0.9674, recall: 0.9517, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4062,

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: 0.872, f_measure: 0.6148, kappa: 0.4904, kb_relative_information_score: 2726.3644, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6097, predictive_accuracy: 0.6277, prior_entropy: 2.3005, recall: 0.6277, relative_absolute_error: 0.639, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.8177,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.57, kappa: 0.1353, kb_relative_information_score: 24.68, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6008, predictive_accuracy: 0.61, prior_entropy: 0.9816, recall: 0.61, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.482, root_relative_squared_error: 0.9765,

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: 0.9953, kappa: 0.9906, kb_relative_information_score: 3157.1994, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.9986, recall: 0.9953, relative_absolute_error: 0.0129, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.061, root_relative_squared_error: 0.1221,

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: 0.9881, f_measure: 0.9542, kappa: 0.9039, kb_relative_information_score: 3644.4159, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9544, predictive_accuracy: 0.9544, prior_entropy: 0.9674, recall: 0.9544, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4064,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.977, kappa: 0.9744, kb_relative_information_score: 1787.0465, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9773, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.3102,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9555, kappa: 0.95, kb_relative_information_score: 892.7106, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9558, predictive_accuracy: 0.9556, prior_entropy: 3.1699, recall: 0.9556, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.4151,

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: 0.7873, f_measure: 0.7424, kappa: 0.3615, kb_relative_information_score: 188.915, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7518, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8829,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9844, kappa: 0.8434, kb_relative_information_score: 3193.5011, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9842, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.4712,

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: 0.9316, f_measure: 0.8697, kappa: 0.7364, kb_relative_information_score: 428.5639, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8699, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.4093, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.6181,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.623, f_measure: 0.5659, kappa: 0.129, kb_relative_information_score: 24.6517, mean_absolute_error: 0.4673, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5984, predictive_accuracy: 0.608, prior_entropy: 0.9816, recall: 0.608, relative_absolute_error: 0.9591, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9772,

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: 0.8115, f_measure: 0.8188, kappa: 0.4136, kb_relative_information_score: 133.1031, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8162, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.8463,

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: 0.9811, kappa: 0.979, kb_relative_information_score: 5164.5114, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9812, predictive_accuracy: 0.9811, prior_entropy: 3.3218, recall: 0.9811, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0813, root_relative_squared_error: 0.2711,

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: 0.9948, f_measure: 0.9376, kappa: 0.9273, kb_relative_information_score: 2124.3588, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9379, predictive_accuracy: 0.9377, prior_entropy: 2.8074, recall: 0.9377, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.3345,

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: 0.7899, f_measure: 0.7449, kappa: 0.3675, kb_relative_information_score: 191.4832, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7559, predictive_accuracy: 0.767, prior_entropy: 0.8818, recall: 0.767, relative_absolute_error: 0.8031, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8817,

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: 0.9208, f_measure: 0.8386, kappa: 0.6673, kb_relative_information_score: 240.0117, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8427, predictive_accuracy: 0.8407, prior_entropy: 0.9826, recall: 0.8407, relative_absolute_error: 0.5935, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7097,

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: 0.9085, f_measure: 0.9297, kappa: 0.2945, kb_relative_information_score: -560.0513, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9346, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7516, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.852,

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: 848.2217, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9769, predictive_accuracy: 0.9768, prior_entropy: 3.4594, recall: 0.9768, relative_absolute_error: 0.2933, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.3819,

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: 0.9852, f_measure: 0.8515, kappa: 0.8356, kb_relative_information_score: 1619.5488, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8515, predictive_accuracy: 0.852, prior_entropy: 3.3219, recall: 0.852, relative_absolute_error: 0.316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.5021,

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: 0.7619, f_measure: 0.7833, kappa: 0.2329, kb_relative_information_score: 862.641, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7942, predictive_accuracy: 0.822, prior_entropy: 0.7088, recall: 0.822, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9173,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5678, f_measure: 0.1954, kappa: 0.0361, kb_relative_information_score: 62.1254, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.197, predictive_accuracy: 0.2008, prior_entropy: 2.5803, recall: 0.2008, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3728, root_relative_squared_error: 1.0011,

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: 0.8438, kappa: 0.8267, kb_relative_information_score: 1615.5314, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8445, predictive_accuracy: 0.844, prior_entropy: 3.3219, recall: 0.844, relative_absolute_error: 0.3194, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.5046,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7349, f_measure: 0.5565, kappa: 0.3113, kb_relative_information_score: 347.7974, mean_absolute_error: 0.3584, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5583, predictive_accuracy: 0.5587, prior_entropy: 1.5392, recall: 0.5587, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.425, 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 Bioresponse

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8081, kappa: 0.6131, kb_relative_information_score: 1689.0027, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8081, predictive_accuracy: 0.8083, prior_entropy: 0.9948, recall: 0.8083, relative_absolute_error: 0.5827, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7486,

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: 0.7904, f_measure: 0.753, kappa: 0.389, kb_relative_information_score: 195.4944, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7597, predictive_accuracy: 0.771, prior_entropy: 0.8818, recall: 0.771, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8805,

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: 0.9672, f_measure: 0.7733, kappa: 0.7522, kb_relative_information_score: 1378.4302, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7704, predictive_accuracy: 0.777, prior_entropy: 3.3219, recall: 0.777, relative_absolute_error: 0.4608, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.192, root_relative_squared_error: 0.6401,

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: 0.8114, f_measure: 0.8319, kappa: 0.4538, kb_relative_information_score: 136.8314, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8318, predictive_accuracy: 0.8448, prior_entropy: 0.734, recall: 0.8448, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.8389,

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: 0.9917, f_measure: 0.97, kappa: 0.9358, kb_relative_information_score: 489.6006, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.953, recall: 0.9701, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1663, 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 vehicle

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.7364, kappa: 0.658, kb_relative_information_score: 553.2678, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.732, predictive_accuracy: 0.7435, prior_entropy: 1.9991, recall: 0.7435, relative_absolute_error: 0.4335, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.6302,

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: 0.9203, f_measure: 0.8594, kappa: 0.7153, kb_relative_information_score: 380.4492, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8594, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6587,

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: 0.9654, f_measure: 0.9122, kappa: 0.7877, kb_relative_information_score: 3496.8478, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.912, predictive_accuracy: 0.9125, prior_entropy: 0.8733, recall: 0.9125, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.5647,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 3150.8268, mean_absolute_error: 0.0079, 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: 0.0158, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0576, root_relative_squared_error: 0.1154,

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: 0.9945, f_measure: 0.9371, kappa: 0.9268, kb_relative_information_score: 2124.3176, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9374, predictive_accuracy: 0.9372, prior_entropy: 2.8074, recall: 0.9372, relative_absolute_error: 0.1205, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.3355,

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: 0.9148, f_measure: 0.8268, kappa: 0.6428, kb_relative_information_score: 239.1799, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8327, predictive_accuracy: 0.8296, prior_entropy: 0.9826, recall: 0.8296, relative_absolute_error: 0.5939, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7158,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9363, kappa: 0.9258, kb_relative_information_score: 2083.1944, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9365, predictive_accuracy: 0.9364, prior_entropy: 2.8074, recall: 0.9364, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.3422,

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: 728.4405, mean_absolute_error: 0.133, 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: 0.2936, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.3772,

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: 0.979, kappa: 0.9767, kb_relative_information_score: 1807.6716, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9792, predictive_accuracy: 0.979, prior_entropy: 3.3219, recall: 0.979, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.2949,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.7056, kappa: 0.675, kb_relative_information_score: 1476.6305, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7058, predictive_accuracy: 0.7075, prior_entropy: 3.3219, recall: 0.7075, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.193, root_relative_squared_error: 0.6433,

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: 0.9485, f_measure: 0.7973, kappa: 0.7375, kb_relative_information_score: 1407.7503, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7984, predictive_accuracy: 0.797, prior_entropy: 2.4138, recall: 0.797, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.5941,

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: 0.7334, f_measure: 0.6583, kappa: 0.1279, kb_relative_information_score: 64.134, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6488, predictive_accuracy: 0.6844, prior_entropy: 0.865, recall: 0.6844, relative_absolute_error: 0.8449, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.9329,

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: 0.9976, f_measure: 0.9698, kappa: 0.9343, kb_relative_information_score: 1559.2975, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9711, predictive_accuracy: 0.9693, prior_entropy: 1.2099, recall: 0.9693, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.108, root_relative_squared_error: 0.3194,

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: 0.8118, f_measure: 0.832, kappa: 0.4579, kb_relative_information_score: 132.364, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8303, predictive_accuracy: 0.8429, prior_entropy: 0.734, recall: 0.8429, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.8515,

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: 0.9785, kappa: 0.9761, kb_relative_information_score: 1813.524, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.2913,

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: 0.8393, f_measure: 0.8637, kappa: 0.1248, kb_relative_information_score: -262.4192, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8591, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.9149,

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: 0.9158, f_measure: 0.6982, kappa: 0.6097, kb_relative_information_score: 4703.7977, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7158, predictive_accuracy: 0.7078, prior_entropy: 2.1936, recall: 0.7078, relative_absolute_error: 0.6482, 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 jm1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.7866, kappa: 0.247, kb_relative_information_score: 789.0798, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7937, predictive_accuracy: 0.8219, prior_entropy: 0.7088, recall: 0.8219, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9182,

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: 0.7864, f_measure: 0.749, kappa: 0.3784, kb_relative_information_score: 190.331, mean_absolute_error: 0.3365, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7578, predictive_accuracy: 0.769, prior_entropy: 0.8818, recall: 0.769, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8832,

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: 2947.445, mean_absolute_error: 0.0476, 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: 0.0953, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.2016,

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: 0.9981, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 735.1875, mean_absolute_error: 0.1294, 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: 0.2856, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.371,

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: 0.8248, f_measure: 0.7577, kappa: 0.4588, kb_relative_information_score: 232.7937, mean_absolute_error: 0.3216, 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: 0.7076, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.8408,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.5746, kappa: 0.1285, kb_relative_information_score: 32.0091, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5842, predictive_accuracy: 0.598, prior_entropy: 0.9816, recall: 0.598, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4883, root_relative_squared_error: 0.9894,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9703, kappa: 0.9691, kb_relative_information_score: 18597.3914, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9704, predictive_accuracy: 0.9703, prior_entropy: 4.6998, recall: 0.9703, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0586, root_relative_squared_error: 0.305,

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: 0.9324, f_measure: 0.8692, kappa: 0.7385, kb_relative_information_score: 1207.8812, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8694, predictive_accuracy: 0.8692, prior_entropy: 1, recall: 0.8692, relative_absolute_error: 0.5856, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.6829,

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: 0.9968, f_measure: 0.9429, kappa: 0.9365, kb_relative_information_score: 1199.7639, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9435, predictive_accuracy: 0.9429, prior_entropy: 3.3218, recall: 0.9429, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.5106,

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: 0.964, kappa: 0.96, kb_relative_information_score: 1602.0161, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9642, predictive_accuracy: 0.964, prior_entropy: 3.3219, recall: 0.964, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.4449,

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: 0.9958, kappa: 0.9936, kb_relative_information_score: 5255.6974, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7151, recall: 0.9958, relative_absolute_error: 0.0574, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0572, root_relative_squared_error: 0.1405,

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: 0.9613, f_measure: 0.7108, kappa: 0.68, kb_relative_information_score: 1488.6977, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7129, predictive_accuracy: 0.712, prior_entropy: 3.3219, recall: 0.712, relative_absolute_error: 0.3905, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.629,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9755, kappa: 0.9728, kb_relative_information_score: 1837.2853, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9756, predictive_accuracy: 0.9755, prior_entropy: 3.3219, recall: 0.9755, relative_absolute_error: 0.1499, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.2819,

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: 0.8727, f_measure: 0.6191, kappa: 0.4958, kb_relative_information_score: 2709.6039, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6138, predictive_accuracy: 0.6311, prior_entropy: 2.3005, recall: 0.6311, relative_absolute_error: 0.6496, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.8146,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.6549, kappa: 0.1159, kb_relative_information_score: 64.1561, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6461, predictive_accuracy: 0.6878, prior_entropy: 0.865, recall: 0.6878, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.9325,

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: 0.9317, f_measure: 0.861, kappa: 0.6864, kb_relative_information_score: 587.4998, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.861, predictive_accuracy: 0.8626, prior_entropy: 0.9226, recall: 0.8626, relative_absolute_error: 0.4652, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.307, 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 splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9664, kappa: 0.9454, kb_relative_information_score: 2320.4629, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 1.4804, recall: 0.9665, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4472,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5797, f_measure: 0.2026, kappa: 0.0504, kb_relative_information_score: 42.4983, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.211, predictive_accuracy: 0.2158, prior_entropy: 2.5803, recall: 0.2158, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.9941,

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: 0.8347, f_measure: 0.8653, kappa: 0.1355, kb_relative_information_score: -237.5053, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8628, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8228, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.9111,

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: 0.9881, f_measure: 0.9564, kappa: 0.9086, kb_relative_information_score: 3769.3008, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9565, predictive_accuracy: 0.9565, prior_entropy: 0.9674, recall: 0.9565, relative_absolute_error: 0.2022, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.3907,

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: 0.5817, f_measure: 0.2242, kappa: 0.0713, kb_relative_information_score: 47.2129, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2326, predictive_accuracy: 0.2321, prior_entropy: 2.5803, recall: 0.2321, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9932,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9745, kappa: 0.9717, kb_relative_information_score: 1847.0999, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9746, predictive_accuracy: 0.9745, prior_entropy: 3.3219, recall: 0.9745, relative_absolute_error: 0.1418, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.082, root_relative_squared_error: 0.2732,

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: 0.9297, f_measure: 0.858, kappa: 0.7126, kb_relative_information_score: 392.6766, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8581, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.4645, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.6451,

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: 0.9839, f_measure: 0.8356, kappa: 0.8183, kb_relative_information_score: 1536.194, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8357, predictive_accuracy: 0.8365, prior_entropy: 3.3219, recall: 0.8365, relative_absolute_error: 0.3858, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.5362,

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: 0.8116, f_measure: 0.8179, kappa: 0.409, kb_relative_information_score: 134.7236, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8156, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.8488,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9375, kappa: 0.9273, kb_relative_information_score: 2113.601, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9378, predictive_accuracy: 0.9377, prior_entropy: 2.8074, recall: 0.9377, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1157, root_relative_squared_error: 0.3307,

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: 0.8105, f_measure: 0.8243, kappa: 0.4267, kb_relative_information_score: 138.0996, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8244, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.8407,

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: 0.8496, f_measure: 0.918, kappa: 0.2835, kb_relative_information_score: -264.7682, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9131, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.918,

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: 0.9359, kappa: 0.9253, kb_relative_information_score: 2115.704, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.936, predictive_accuracy: 0.9359, prior_entropy: 2.8074, recall: 0.9359, relative_absolute_error: 0.1304, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.3301,

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: 0.9275, f_measure: 0.8714, kappa: 0.7095, kb_relative_information_score: 587.9197, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8717, predictive_accuracy: 0.873, prior_entropy: 0.9226, recall: 0.873, relative_absolute_error: 0.4634, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6541,

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: 0.975, kappa: 0.9722, kb_relative_information_score: 1833.1584, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.155, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2854,

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