OpenML

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: 0.9301, f_measure: 0.864, kappa: 0.7251, kb_relative_information_score: 407.3209, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8645, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4433, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.314, root_relative_squared_error: 0.6319,

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: 0.964, f_measure: 0.7692, kappa: 0.7472, kb_relative_information_score: 1434.6621, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7669, predictive_accuracy: 0.7725, prior_entropy: 3.3219, recall: 0.7725, relative_absolute_error: 0.4043, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.6295,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.7857, kappa: 0.5723, kb_relative_information_score: 606.4143, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7885, predictive_accuracy: 0.7862, prior_entropy: 1, recall: 0.7862, relative_absolute_error: 0.8081, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8416,

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: 0.9994, f_measure: 0.981, kappa: 0.9723, kb_relative_information_score: 751.626, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9811, predictive_accuracy: 0.981, prior_entropy: 1.7898, recall: 0.981, relative_absolute_error: 0.1553, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1121, root_relative_squared_error: 0.2704,

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: 0.94, f_measure: 0.902, kappa: 0.5146, kb_relative_information_score: 415.1644, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8999, predictive_accuracy: 0.9088, prior_entropy: 0.5368, recall: 0.9088, relative_absolute_error: 0.5709, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.761,

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: 0.9885, f_measure: 0.9848, kappa: 0.8487, kb_relative_information_score: 3139.755, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9847, predictive_accuracy: 0.9851, prior_entropy: 0.3037, recall: 0.9851, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.4756,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.6094, kappa: 0.4835, kb_relative_information_score: 2637.4251, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6043, predictive_accuracy: 0.6241, prior_entropy: 2.3005, recall: 0.6241, relative_absolute_error: 0.6598, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.8173,

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: 0.9984, f_measure: 0.969, kappa: 0.9656, kb_relative_information_score: 1800.257, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9693, predictive_accuracy: 0.969, prior_entropy: 3.3219, recall: 0.969, relative_absolute_error: 0.187, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.3123,

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: 10637.3065, mean_absolute_error: 0.0122, 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: 0.0678, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0505, root_relative_squared_error: 0.1683,

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: 0.9438, kappa: 0.7953, kb_relative_information_score: 289.1279, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8896, prior_entropy: 1.3212, recall: 0.8896, relative_absolute_error: 0.5364, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.6558,

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: 0.9635, kappa: 0.962, kb_relative_information_score: 18487.9146, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9637, predictive_accuracy: 0.9635, prior_entropy: 4.6998, recall: 0.9635, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0615, root_relative_squared_error: 0.3198,

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: 0.9655, f_measure: 0.9134, kappa: 0.791, kb_relative_information_score: 3549.6181, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9133, predictive_accuracy: 0.9136, prior_entropy: 0.8733, recall: 0.9136, relative_absolute_error: 0.3561, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.563,

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: 0.9735, kappa: 0.9706, kb_relative_information_score: 1841.0319, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9736, predictive_accuracy: 0.9735, prior_entropy: 3.3219, recall: 0.9735, relative_absolute_error: 0.1472, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.2785,

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: 0.9261, f_measure: 0.8585, kappa: 0.681, kb_relative_information_score: 586.1162, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8582, predictive_accuracy: 0.8597, prior_entropy: 0.9226, recall: 0.8597, relative_absolute_error: 0.4641, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.6573,

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: 0.9112, f_measure: 0.6517, kappa: 0.5541, kb_relative_information_score: 403.9886, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6576, predictive_accuracy: 0.6535, prior_entropy: 2.2629, recall: 0.6535, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.7426,

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: 0.976, kappa: 0.9477, kb_relative_information_score: 1586.2014, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9767, predictive_accuracy: 0.9757, prior_entropy: 1.2099, recall: 0.9757, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.2885,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9971, kappa: 0.9956, kb_relative_information_score: 5397.1398, mean_absolute_error: 0.0048, 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: 0.0145, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.0952,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9202, kappa: 0.9039, kb_relative_information_score: 5612.7009, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9204, predictive_accuracy: 0.9224, prior_entropy: 2.4836, recall: 0.9224, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.3882,

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: 0.9888, f_measure: 0.9845, kappa: 0.8457, kb_relative_information_score: 3077.2864, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9843, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2452, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.4928,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9896, kappa: 0.9885, kb_relative_information_score: 10670.5583, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 3.3208, recall: 0.9896, relative_absolute_error: 0.0589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1699,

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: 0.914, f_measure: 0.6632, kappa: 0.5692, kb_relative_information_score: 413.4721, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6698, predictive_accuracy: 0.6658, prior_entropy: 2.2629, recall: 0.6658, relative_absolute_error: 0.5552, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.7359,

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: 0.988, f_measure: 0.9532, kappa: 0.9018, kb_relative_information_score: 3731.7126, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9532, predictive_accuracy: 0.9533, prior_entropy: 0.9674, recall: 0.9533, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.3965,

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: 0.8812, f_measure: 0.8094, kappa: 0.6156, kb_relative_information_score: 1609.0823, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8094, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.6071, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7506,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9707, kappa: 0.9678, kb_relative_information_score: 849.9245, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9709, predictive_accuracy: 0.9707, prior_entropy: 3.4594, recall: 0.9707, relative_absolute_error: 0.2874, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.3851,

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: 0.988, f_measure: 0.8893, kappa: 0.875, kb_relative_information_score: 955.1209, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8903, predictive_accuracy: 0.8889, prior_entropy: 3.1699, recall: 0.8889, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.415,

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: 0.8113, f_measure: 0.8263, kappa: 0.4402, kb_relative_information_score: 137.4236, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8238, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.8485,

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: 0.9381, f_measure: 0.8927, kappa: 0.4594, kb_relative_information_score: 402.0718, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8907, predictive_accuracy: 0.9026, prior_entropy: 0.5368, recall: 0.9026, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.251, root_relative_squared_error: 0.7667,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.7511, kappa: 0.2709, kb_relative_information_score: 92.3652, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7483, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8397, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.935,

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: 0.9713, kappa: 0.9701, kb_relative_information_score: 18554.4432, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9714, predictive_accuracy: 0.9713, prior_entropy: 4.6998, recall: 0.9713, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0594, root_relative_squared_error: 0.3089,

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: 0.9314, f_measure: 0.8696, kappa: 0.7392, kb_relative_information_score: 1242.0217, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8697, predictive_accuracy: 0.8696, prior_entropy: 1, recall: 0.8696, relative_absolute_error: 0.5714, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6772,

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: 0.9311, f_measure: 0.7391, kappa: 0.6628, kb_relative_information_score: 546.3974, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7347, predictive_accuracy: 0.747, prior_entropy: 1.9991, recall: 0.747, relative_absolute_error: 0.4448, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.6327,

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: 0.8246, f_measure: 0.7681, kappa: 0.4849, kb_relative_information_score: 256.9298, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7671, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8411,

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: 0.9894, f_measure: 0.9816, kappa: 0.8112, kb_relative_information_score: 2979.3953, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9817, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1124, root_relative_squared_error: 0.4975,

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: 0.9334, f_measure: 0.7443, kappa: 0.6691, kb_relative_information_score: 550.1193, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7398, predictive_accuracy: 0.7518, prior_entropy: 1.9991, recall: 0.7518, relative_absolute_error: 0.4393, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.6294,

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: 0.9845, kappa: 0.9828, kb_relative_information_score: 5171.0205, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9846, predictive_accuracy: 0.9845, prior_entropy: 3.3218, recall: 0.9845, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.266,

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: 0.9286, f_measure: 0.8614, kappa: 0.6877, kb_relative_information_score: 596.4987, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8611, predictive_accuracy: 0.8626, prior_entropy: 0.9226, recall: 0.8626, relative_absolute_error: 0.4532, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.652,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.963, kappa: 0.9207, kb_relative_information_score: 480.8307, mean_absolute_error: 0.0795, 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: 0.1701, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3666,

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: 0.9243, f_measure: 0.8623, kappa: 0.7213, kb_relative_information_score: 394.3846, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8624, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4598, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6542,

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: 0.9894, f_measure: 0.9834, kappa: 0.8343, kb_relative_information_score: 3132.1333, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9832, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.2408, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.108, root_relative_squared_error: 0.4781,

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: 0.7897, f_measure: 0.7431, kappa: 0.3627, kb_relative_information_score: 186.4838, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.755, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.883,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9969, kappa: 0.9953, kb_relative_information_score: 5395.1594, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 1.7151, recall: 0.9969, relative_absolute_error: 0.0152, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0385, root_relative_squared_error: 0.0946,

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: 0.7387, f_measure: 0.6364, kappa: 0.0666, kb_relative_information_score: 56.7206, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6314, predictive_accuracy: 0.693, prior_entropy: 0.865, recall: 0.693, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.421, root_relative_squared_error: 0.9312,

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: 0.9932, f_measure: 0.9209, kappa: 0.9045, kb_relative_information_score: 5617.5978, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.921, predictive_accuracy: 0.9229, prior_entropy: 2.4836, recall: 0.9229, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.3858,

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: 0.9092, f_measure: 0.8102, kappa: 0.6086, kb_relative_information_score: 229.722, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8146, predictive_accuracy: 0.813, prior_entropy: 0.9826, recall: 0.813, relative_absolute_error: 0.6101, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7274,

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: 0.9888, f_measure: 0.9578, kappa: 0.9114, kb_relative_information_score: 3800.0003, mean_absolute_error: 0.0928, 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: 0.1942, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.3853,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9729, kappa: 0.9402, kb_relative_information_score: 593.4329, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9732, predictive_accuracy: 0.9728, prior_entropy: 0.9297, recall: 0.9728, relative_absolute_error: 0.1713, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.3512,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9647, kappa: 0.9244, kb_relative_information_score: 487.4221, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.953, recall: 0.9649, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.175, root_relative_squared_error: 0.362,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9567, kappa: 0.9295, kb_relative_information_score: 2418.0063, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9569, predictive_accuracy: 0.9567, prior_entropy: 1.48, recall: 0.9567, relative_absolute_error: 0.3194, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4298,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 735.8662, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 1.7898, recall: 0.9881, relative_absolute_error: 0.1914, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.113, root_relative_squared_error: 0.2727,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9595, kappa: 0.9131, kb_relative_information_score: 486.6987, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.3691,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9574, kappa: 0.9306, kb_relative_information_score: 2336.4691, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9575, predictive_accuracy: 0.9573, prior_entropy: 1.48, recall: 0.9573, relative_absolute_error: 0.3547, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4513,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 3155.3173, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.9986, recall: 0.9953, relative_absolute_error: 0.0137, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.1227,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.6197, kappa: 0.4968, kb_relative_information_score: 2680.4348, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6148, predictive_accuracy: 0.6329, prior_entropy: 2.3005, recall: 0.6329, relative_absolute_error: 0.6558, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2883, root_relative_squared_error: 0.8142,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9531, kappa: 0.9236, kb_relative_information_score: 2734.7019, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9534, predictive_accuracy: 0.9529, prior_entropy: 1.48, recall: 0.9529, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.3563,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8623, kappa: 0.7213, kb_relative_information_score: 394.353, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8624, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4597, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.6574,

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

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

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.7823, kappa: 0.2302, kb_relative_information_score: 772.4443, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7901, predictive_accuracy: 0.8199, prior_entropy: 0.7088, recall: 0.8199, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9207,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.961, kappa: 0.9594, kb_relative_information_score: 18652.0433, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9612, predictive_accuracy: 0.961, prior_entropy: 4.6998, recall: 0.961, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0587, root_relative_squared_error: 0.3054,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9843, kappa: 0.8422, kb_relative_information_score: 3085.3008, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9842, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2511, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.4723,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9805, kappa: 0.9783, kb_relative_information_score: 1823.734, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9807, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.1691, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.2829,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9914, kappa: 0.9905, kb_relative_information_score: 10736.5974, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9915, predictive_accuracy: 0.9914, prior_entropy: 3.3208, recall: 0.9914, relative_absolute_error: 0.0466, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.046, root_relative_squared_error: 0.1533,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9729, kappa: 0.945, kb_relative_information_score: 10223.0532, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9729, predictive_accuracy: 0.9729, prior_entropy: 0.9906, recall: 0.9729, relative_absolute_error: 0.0806, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.2776,

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: 0.9307, f_measure: 0.8631, kappa: 0.7262, kb_relative_information_score: 1246.5665, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8631, predictive_accuracy: 0.8631, prior_entropy: 1, recall: 0.8631, relative_absolute_error: 0.5684, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6775,

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: 0.9967, f_measure: 0.936, kappa: 0.9289, kb_relative_information_score: 1291.3294, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9368, predictive_accuracy: 0.936, prior_entropy: 3.3218, recall: 0.936, relative_absolute_error: 0.3305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1341, 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 qsar-biodeg

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.86, kappa: 0.684, kb_relative_information_score: 583.5638, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.86, predictive_accuracy: 0.8616, prior_entropy: 0.9226, recall: 0.8616, relative_absolute_error: 0.4667, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.661,

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: 0.9914, kappa: 0.9904, kb_relative_information_score: 10670.2875, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 3.3208, recall: 0.9914, relative_absolute_error: 0.0604, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.1644,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8669, kappa: 0.7338, kb_relative_information_score: 1307.0232, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.867, predictive_accuracy: 0.8669, prior_entropy: 1, recall: 0.8669, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.6629,

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

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

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.7853, kappa: 0.2407, kb_relative_information_score: 897.868, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7952, predictive_accuracy: 0.8226, prior_entropy: 0.7088, recall: 0.8226, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9159,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8046, kappa: 0.7472, kb_relative_information_score: 1419.9228, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.806, predictive_accuracy: 0.8047, prior_entropy: 2.4138, recall: 0.8047, relative_absolute_error: 0.3714, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.5913,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.8396, kappa: 0.3197, kb_relative_information_score: 173.615, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8412, predictive_accuracy: 0.863, prior_entropy: 0.622, recall: 0.863, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.8889,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9843, kappa: 0.982, kb_relative_information_score: 956.2242, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9844, predictive_accuracy: 0.9843, prior_entropy: 2.9931, recall: 0.9843, relative_absolute_error: 0.2203, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.3145,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9406, kappa: 0.9308, kb_relative_information_score: 2136.7154, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9406, predictive_accuracy: 0.9407, prior_entropy: 2.8074, recall: 0.9407, relative_absolute_error: 0.1129, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.3208,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6318, f_measure: 0.5901, kappa: 0.1649, kb_relative_information_score: 32.8239, mean_absolute_error: 0.4601, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6091, predictive_accuracy: 0.618, prior_entropy: 0.9816, recall: 0.618, relative_absolute_error: 0.9443, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.9744,

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: 691.6982, mean_absolute_error: 0.0923, 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: 0.2684, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.3339,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.8746, kappa: 0.7492, kb_relative_information_score: 1284.178, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8746, predictive_accuracy: 0.8746, prior_entropy: 1, recall: 0.8746, relative_absolute_error: 0.5542, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6664,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8058, kappa: 0.7484, kb_relative_information_score: 1418.8953, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8074, predictive_accuracy: 0.8058, prior_entropy: 2.4138, recall: 0.8058, relative_absolute_error: 0.3749, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.5888,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 3154.439, mean_absolute_error: 0.007, 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: 0.0141, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0617, root_relative_squared_error: 0.1236,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.8474, kappa: 0.8311, kb_relative_information_score: 1574.7138, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8477, predictive_accuracy: 0.848, prior_entropy: 3.3219, recall: 0.848, relative_absolute_error: 0.3556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.5202,

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: 0.9985, f_measure: 0.965, kappa: 0.9611, kb_relative_information_score: 1666.0294, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9654, predictive_accuracy: 0.965, prior_entropy: 3.3219, recall: 0.965, relative_absolute_error: 0.3088, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.403,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9418, kappa: 0.9323, kb_relative_information_score: 2127.4373, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9419, predictive_accuracy: 0.942, prior_entropy: 2.8074, recall: 0.942, relative_absolute_error: 0.1213, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.324,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9829, kappa: 0.8259, kb_relative_information_score: 2972.981, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9831, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.5009,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9687, kappa: 0.9365, kb_relative_information_score: 10209.9394, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 0.9906, recall: 0.9687, relative_absolute_error: 0.0796, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.2954,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9091, kappa: 0.78, kb_relative_information_score: 3418.1764, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9089, predictive_accuracy: 0.9095, prior_entropy: 0.8733, recall: 0.9095, relative_absolute_error: 0.3834, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.5763,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.8354, kappa: 0.2988, kb_relative_information_score: 162.929, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8379, predictive_accuracy: 0.8611, prior_entropy: 0.622, recall: 0.8611, relative_absolute_error: 0.7703, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.8871,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.958, kappa: 0.9118, kb_relative_information_score: 3822.9286, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.958, predictive_accuracy: 0.9581, prior_entropy: 0.9674, recall: 0.9581, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3835,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.6207, kappa: 0.4981, kb_relative_information_score: 2676.6984, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6161, predictive_accuracy: 0.6337, prior_entropy: 2.3005, recall: 0.6337, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.814,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.7506, kappa: 0.4439, kb_relative_information_score: 245.211, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7496, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.689, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9738, kappa: 0.9711, kb_relative_information_score: 841.3822, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9742, predictive_accuracy: 0.9737, prior_entropy: 3.4594, recall: 0.9737, relative_absolute_error: 0.3025, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.3979,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.7361, kappa: 0.6564, kb_relative_information_score: 558.9841, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7316, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.4208, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.6333,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.617, kappa: 0.493, kb_relative_information_score: 2702.317, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6119, predictive_accuracy: 0.6299, prior_entropy: 2.3005, recall: 0.6299, relative_absolute_error: 0.6503, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.8167,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5841, f_measure: 0.2065, kappa: 0.0533, kb_relative_information_score: 42.4465, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2162, predictive_accuracy: 0.2183, prior_entropy: 2.5803, recall: 0.2183, relative_absolute_error: 0.9878, 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 banknote-authentication

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1323.9334, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0418, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.1415,

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: 0.9921, f_measure: 0.9198, kappa: 0.9034, kb_relative_information_score: 5610.046, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.92, predictive_accuracy: 0.9219, prior_entropy: 2.4836, recall: 0.9219, relative_absolute_error: 0.1828, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1435, 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 cylinder-bands

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8372, kappa: 0.6644, kb_relative_information_score: 260.7177, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8398, predictive_accuracy: 0.8389, prior_entropy: 0.9826, recall: 0.8389, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.6922,

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: 0.9195, kappa: 0.903, kb_relative_information_score: 5625.413, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9196, predictive_accuracy: 0.9216, prior_entropy: 2.4836, recall: 0.9216, relative_absolute_error: 0.1797, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.3883,

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: 0.9914, kappa: 0.9905, kb_relative_information_score: 10656.5066, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9915, predictive_accuracy: 0.9914, prior_entropy: 3.3208, recall: 0.9914, relative_absolute_error: 0.0627, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0507, root_relative_squared_error: 0.169,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9963, kappa: 0.9945, kb_relative_information_score: 5386.604, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 1.7151, recall: 0.9963, relative_absolute_error: 0.0176, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0399, root_relative_squared_error: 0.098,

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: 0.9999, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 745.5827, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.2772, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3441,

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: 0.9129, f_measure: 0.6676, kappa: 0.5749, kb_relative_information_score: 414.2084, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6741, predictive_accuracy: 0.6698, prior_entropy: 2.2629, recall: 0.6698, relative_absolute_error: 0.5511, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.739,

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