OpenML

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: 0.7842, f_measure: 0.7447, kappa: 0.3676, kb_relative_information_score: 190.1426, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7527, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.8022, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8847,

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: 0.9272, f_measure: 0.8711, kappa: 0.7391, kb_relative_information_score: 400.0556, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8712, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.4536, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6439,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9959, kappa: 0.9918, kb_relative_information_score: 3160.4355, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9986, recall: 0.9959, relative_absolute_error: 0.0119, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.1212,

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: 0.9998, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 3133.9855, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9986, recall: 0.995, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.1266,

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: 0.5821, f_measure: 0.2021, kappa: 0.0504, kb_relative_information_score: 40.6892, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2086, predictive_accuracy: 0.2158, prior_entropy: 2.5803, recall: 0.2158, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9936,

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: 0.9935, f_measure: 0.9539, kappa: 0.925, kb_relative_information_score: 2526.3808, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9541, predictive_accuracy: 0.9539, prior_entropy: 1.48, recall: 0.9539, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.4024,

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: 0.9079, f_measure: 0.6522, kappa: 0.5572, kb_relative_information_score: 372.0401, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6609, predictive_accuracy: 0.6576, prior_entropy: 2.2629, recall: 0.6576, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.7554,

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: 0.9642, f_measure: 0.9096, kappa: 0.7812, kb_relative_information_score: 3531.1995, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9094, predictive_accuracy: 0.9099, prior_entropy: 0.8733, recall: 0.9099, relative_absolute_error: 0.3586, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.568,

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: 0.9611, f_measure: 0.7148, kappa: 0.6844, kb_relative_information_score: 1496.0075, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.717, predictive_accuracy: 0.716, prior_entropy: 3.3219, recall: 0.716, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.6279,

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: 0.993, f_measure: 0.9194, kappa: 0.9029, kb_relative_information_score: 5602.1085, mean_absolute_error: 0.0505, 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: 0.1868, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.3889,

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: 0.9621, f_measure: 0.7107, kappa: 0.6806, kb_relative_information_score: 1496.5082, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7122, predictive_accuracy: 0.7125, prior_entropy: 3.3219, recall: 0.7125, relative_absolute_error: 0.3862, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.6262,

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: 0.9898, kappa: 0.9883, kb_relative_information_score: 934.4867, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9899, predictive_accuracy: 0.9898, prior_entropy: 2.9931, recall: 0.9898, relative_absolute_error: 0.2595, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.3374,

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: 0.9931, f_measure: 0.9715, kappa: 0.937, kb_relative_information_score: 595.6156, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9717, predictive_accuracy: 0.9714, prior_entropy: 0.9297, recall: 0.9714, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3483,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9677, kappa: 0.9475, kb_relative_information_score: 2330.6172, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9677, predictive_accuracy: 0.9677, prior_entropy: 1.4804, recall: 0.9677, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.4455,

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: 0.9977, f_measure: 0.9473, kappa: 0.9414, kb_relative_information_score: 1292.4646, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9479, predictive_accuracy: 0.9473, prior_entropy: 3.3218, recall: 0.9473, relative_absolute_error: 0.3375, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.4424,

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: 0.9492, f_measure: 0.8048, kappa: 0.7468, kb_relative_information_score: 1418.0066, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8066, predictive_accuracy: 0.8047, prior_entropy: 2.4138, recall: 0.8047, relative_absolute_error: 0.3742, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.5893,

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: 0.9258, f_measure: 0.8592, kappa: 0.6825, kb_relative_information_score: 583.3195, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8591, predictive_accuracy: 0.8607, prior_entropy: 0.9226, recall: 0.8607, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.6592,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.759, kappa: 0.4037, kb_relative_information_score: 199.9071, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7673, predictive_accuracy: 0.777, prior_entropy: 0.8818, recall: 0.777, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8787,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 738.0017, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3652,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.855, kappa: 0.6725, kb_relative_information_score: 585.0525, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8551, predictive_accuracy: 0.8569, prior_entropy: 0.9226, recall: 0.8569, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6585,

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: 0.8759, f_measure: 0.7836, kappa: 0.5685, kb_relative_information_score: 620.8948, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7874, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.8031, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8377,

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: 0.7457, f_measure: 0.6417, kappa: 0.0877, kb_relative_information_score: 57.3919, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6669, predictive_accuracy: 0.7153, prior_entropy: 0.865, recall: 0.7153, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.9232,

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: 0.9929, kappa: 0.9896, kb_relative_information_score: 702.7789, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.2506, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.3159,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1316.1944, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0474, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.1681,

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: 0.8729, f_measure: 0.6193, kappa: 0.496, kb_relative_information_score: 2740.9634, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6143, predictive_accuracy: 0.6314, prior_entropy: 2.3005, recall: 0.6314, relative_absolute_error: 0.6391, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.8152,

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: 0.9259, f_measure: 0.8626, kappa: 0.7224, kb_relative_information_score: 396.8413, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8634, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.319, root_relative_squared_error: 0.6419,

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: 0.9974, f_measure: 0.9411, kappa: 0.9344, kb_relative_information_score: 1283.2941, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9417, predictive_accuracy: 0.941, prior_entropy: 3.3218, recall: 0.941, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.135, root_relative_squared_error: 0.4501,

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: 5261.8378, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 3.3218, recall: 0.9811, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.2435,

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: 0.5707, f_measure: 0.1958, kappa: 0.0418, kb_relative_information_score: 43.4717, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1998, predictive_accuracy: 0.2083, prior_entropy: 2.5803, recall: 0.2083, relative_absolute_error: 0.9895, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.9991,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.7722, kappa: 0.7494, kb_relative_information_score: 1445.7996, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.771, predictive_accuracy: 0.7745, prior_entropy: 3.3219, recall: 0.7745, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.6102,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.982, kappa: 0.9802, kb_relative_information_score: 5241.8535, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9821, predictive_accuracy: 0.982, prior_entropy: 3.4594, recall: 0.982, relative_absolute_error: 0.0973, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0629, root_relative_squared_error: 0.2188,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9281, kappa: 0.9188, kb_relative_information_score: 865.1964, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9293, predictive_accuracy: 0.9278, prior_entropy: 3.1699, recall: 0.9278, relative_absolute_error: 0.3332, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.4499,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1311.428, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0526, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.1611,

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: 0.9927, kappa: 0.9852, kb_relative_information_score: 1316.7994, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0476, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0778, root_relative_squared_error: 0.1566,

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: 0.9061, f_measure: 0.9271, kappa: 0.2707, kb_relative_information_score: -503.1196, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9291, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.8521,

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: 0.7211, f_measure: 0.7335, kappa: 0.2168, kb_relative_information_score: 87.4486, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7284, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.9433,

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: 0.6156, f_measure: 0.5847, kappa: 0.1496, kb_relative_information_score: 36.1906, mean_absolute_error: 0.4556, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5962, predictive_accuracy: 0.608, prior_entropy: 0.9816, recall: 0.608, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4873, root_relative_squared_error: 0.9872,

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: 0.926, f_measure: 0.8607, kappa: 0.7178, kb_relative_information_score: 413.4023, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8607, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6455,

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: 0.9988, f_measure: 0.9755, kappa: 0.9728, kb_relative_information_score: 1753.6371, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9757, predictive_accuracy: 0.9755, prior_entropy: 3.3219, recall: 0.9755, relative_absolute_error: 0.2345, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1011, root_relative_squared_error: 0.3371,

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: 0.9841, f_measure: 0.8432, kappa: 0.8267, kb_relative_information_score: 1542.7648, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8434, predictive_accuracy: 0.844, prior_entropy: 3.3219, recall: 0.844, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.5317,

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: 0.9721, f_measure: 0.7692, kappa: 0.7472, kb_relative_information_score: 1418.4597, mean_absolute_error: 0.0795, 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: 0.4418, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.185, root_relative_squared_error: 0.6168,

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: 0.7883, f_measure: 0.7444, kappa: 0.3684, kb_relative_information_score: 197.6573, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7486, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8815,

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: 0.91, f_measure: 0.6867, kappa: 0.5957, kb_relative_information_score: 4512.0893, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7087, predictive_accuracy: 0.6982, prior_entropy: 2.1936, recall: 0.6982, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.765,

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: 3145.3964, mean_absolute_error: 0.0089, 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: 0.0179, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0585, root_relative_squared_error: 0.1171,

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: 0.9395, f_measure: 0.9034, kappa: 0.5158, kb_relative_information_score: 411.7693, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9023, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.5692, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2461, root_relative_squared_error: 0.7518,

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: 0.9503, f_measure: 0.8125, kappa: 0.7563, kb_relative_information_score: 1416.5548, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8147, predictive_accuracy: 0.812, prior_entropy: 2.4138, recall: 0.812, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.5883,

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: 0.999, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 789.9789, mean_absolute_error: 0.0985, 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: 0.2175, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.3121,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8668, kappa: 0.7306, kb_relative_information_score: 379.3647, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.867, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.4882, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6572,

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: 0.8514, kappa: 0.8356, kb_relative_information_score: 1593.9334, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8514, predictive_accuracy: 0.852, prior_entropy: 3.3219, recall: 0.852, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.5107,

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: 0.9982, f_measure: 0.9655, kappa: 0.9617, kb_relative_information_score: 1619.3453, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9657, predictive_accuracy: 0.9655, prior_entropy: 3.3219, recall: 0.9655, relative_absolute_error: 0.3449, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.4336,

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: 0.6316, f_measure: 0.5983, kappa: 0.1753, kb_relative_information_score: 38.1998, mean_absolute_error: 0.455, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6082, predictive_accuracy: 0.618, prior_entropy: 0.9816, recall: 0.618, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9748,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9555, kappa: 0.9506, kb_relative_information_score: 1606.2305, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9558, predictive_accuracy: 0.9555, prior_entropy: 3.3219, recall: 0.9555, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.4454,

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: 0.8348, f_measure: 0.8662, kappa: 0.1467, kb_relative_information_score: -248.4909, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8612, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.9136,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set climate-model-simulation-crashes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.931, kappa: 0.502, kb_relative_information_score: 91.3612, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9351, predictive_accuracy: 0.9407, prior_entropy: 0.4254, recall: 0.9407, relative_absolute_error: 0.6162, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.7537,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set climate-model-simulation-crashes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.9347, kappa: 0.5355, kb_relative_information_score: 85.8548, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9368, predictive_accuracy: 0.9426, prior_entropy: 0.4254, recall: 0.9426, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.7475,

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: 0.9116, f_measure: 0.8311, kappa: 0.6518, kb_relative_information_score: 224.4792, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8351, predictive_accuracy: 0.8333, prior_entropy: 0.9826, recall: 0.8333, relative_absolute_error: 0.6233, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7296,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9715, kappa: 0.9683, kb_relative_information_score: 1817.3413, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9718, predictive_accuracy: 0.9715, prior_entropy: 3.3219, recall: 0.9715, relative_absolute_error: 0.1713, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.2997,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set 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: 694.1735, mean_absolute_error: 0.0909, 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: 0.2645, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1371, 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 cylinder-bands

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.8145, kappa: 0.6177, kb_relative_information_score: 246.6858, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8173, predictive_accuracy: 0.8167, prior_entropy: 0.9826, recall: 0.8167, relative_absolute_error: 0.5789, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7099,

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: 0.9655, kappa: 0.9617, kb_relative_information_score: 1812.699, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.966, predictive_accuracy: 0.9655, prior_entropy: 3.3219, recall: 0.9655, relative_absolute_error: 0.1745, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.3055,

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: 0.9499, f_measure: 0.8089, kappa: 0.752, kb_relative_information_score: 1410.8915, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8111, predictive_accuracy: 0.8089, prior_entropy: 2.4138, recall: 0.8089, relative_absolute_error: 0.3812, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.5906,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9711, kappa: 0.9414, kb_relative_information_score: 10037.3488, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9712, predictive_accuracy: 0.9711, prior_entropy: 0.9906, recall: 0.9711, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.2955,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9543, kappa: 0.9257, kb_relative_information_score: 2741.0452, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9546, predictive_accuracy: 0.9542, prior_entropy: 1.48, recall: 0.9542, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.3561,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9724, kappa: 0.94, kb_relative_information_score: 1478.3446, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9732, predictive_accuracy: 0.9722, prior_entropy: 1.2099, recall: 0.9722, relative_absolute_error: 0.2023, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.3394,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9805, kappa: 0.9574, kb_relative_information_score: 1617.5959, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9808, predictive_accuracy: 0.9803, prior_entropy: 1.2099, recall: 0.9803, relative_absolute_error: 0.0805, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.2518,

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: 0.9351, f_measure: 0.8926, kappa: 0.4602, kb_relative_information_score: 380.9054, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8902, predictive_accuracy: 0.9019, prior_entropy: 0.5368, recall: 0.9019, relative_absolute_error: 0.5879, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.7754,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9661, kappa: 0.9622, kb_relative_information_score: 1827.8762, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9665, predictive_accuracy: 0.966, prior_entropy: 3.3219, recall: 0.966, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.2958,

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: 0.7847, kappa: 0.2397, kb_relative_information_score: 784.1868, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7922, predictive_accuracy: 0.821, prior_entropy: 0.7088, recall: 0.821, relative_absolute_error: 0.8347, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9194,

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: 0.9875, f_measure: 0.9841, kappa: 0.8415, kb_relative_information_score: 3177.7404, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9839, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2342, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.112, root_relative_squared_error: 0.496,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9643, kappa: 0.942, kb_relative_information_score: 2433.2771, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9645, predictive_accuracy: 0.9643, prior_entropy: 1.4804, recall: 0.9643, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.4175,

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: 0.9246, f_measure: 0.8654, kappa: 0.7277, kb_relative_information_score: 380.2286, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8657, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6568,

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: 0.9015, f_measure: 0.8119, kappa: 0.6122, kb_relative_information_score: 227.7838, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8167, predictive_accuracy: 0.8148, prior_entropy: 0.9826, recall: 0.8148, relative_absolute_error: 0.6119, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7363,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9828, kappa: 0.981, kb_relative_information_score: 5210.8533, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9828, predictive_accuracy: 0.9827, prior_entropy: 3.4594, recall: 0.9827, relative_absolute_error: 0.1101, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0655, root_relative_squared_error: 0.2278,

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: 0.7609, f_measure: 0.7848, kappa: 0.2397, kb_relative_information_score: 724.2028, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7925, predictive_accuracy: 0.8212, prior_entropy: 0.7088, recall: 0.8212, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9196,

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: 0.9965, f_measure: 0.9366, kappa: 0.9296, kb_relative_information_score: 1326.1769, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9373, predictive_accuracy: 0.9366, prior_entropy: 3.3218, recall: 0.9366, relative_absolute_error: 0.2915, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.4247,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set climate-model-simulation-crashes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.9305, kappa: 0.5055, kb_relative_information_score: 83.3366, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9316, predictive_accuracy: 0.9389, prior_entropy: 0.4254, recall: 0.9389, relative_absolute_error: 0.6203, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.7769,

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: 0.996, f_measure: 0.9401, kappa: 0.9303, kb_relative_information_score: 2131.8814, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9403, predictive_accuracy: 0.9403, prior_entropy: 2.8074, recall: 0.9403, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.113, root_relative_squared_error: 0.323,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8684, kappa: 0.7369, kb_relative_information_score: 1203.6426, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8687, predictive_accuracy: 0.8685, prior_entropy: 1, recall: 0.8685, relative_absolute_error: 0.5871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.6842,

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: 0.9907, f_measure: 0.9524, kappa: 0.9226, kb_relative_information_score: 2664.3506, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9528, predictive_accuracy: 0.9523, prior_entropy: 1.48, recall: 0.9523, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3808,

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: 0.994, f_measure: 0.9573, kappa: 0.9306, kb_relative_information_score: 2455.0559, mean_absolute_error: 0.1246, 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: 0.304, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.42,

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: 0.9525, f_measure: 0.7736, kappa: 0.7517, kb_relative_information_score: 1399.1653, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7712, predictive_accuracy: 0.7765, prior_entropy: 3.3219, recall: 0.7765, relative_absolute_error: 0.4405, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.648,

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: 0.9996, f_measure: 0.981, kappa: 0.9788, kb_relative_information_score: 5231.5579, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.981, predictive_accuracy: 0.981, prior_entropy: 3.3218, recall: 0.981, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.2539,

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: 0.6224, kappa: 0.5005, kb_relative_information_score: 2700.0157, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6177, predictive_accuracy: 0.6353, prior_entropy: 2.3005, recall: 0.6353, relative_absolute_error: 0.652, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.8128,

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: 0.9719, f_measure: 0.7721, kappa: 0.7494, kb_relative_information_score: 1444.6293, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7706, predictive_accuracy: 0.7745, prior_entropy: 3.3219, recall: 0.7745, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.609,

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: 0.8819, f_measure: 0.8068, kappa: 0.6105, kb_relative_information_score: 1677.5986, mean_absolute_error: 0.2908, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8068, predictive_accuracy: 0.807, prior_entropy: 0.9948, recall: 0.807, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7467,

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: 0.9855, f_measure: 0.8491, kappa: 0.8328, kb_relative_information_score: 1610.1039, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8496, predictive_accuracy: 0.8495, prior_entropy: 3.3219, recall: 0.8495, relative_absolute_error: 0.3269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.5039,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.971, kappa: 0.9678, kb_relative_information_score: 1811.011, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9713, predictive_accuracy: 0.971, prior_entropy: 3.3219, recall: 0.971, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.3038,

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: 0.9918, f_measure: 0.9537, kappa: 0.9246, kb_relative_information_score: 2619.3183, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.954, predictive_accuracy: 0.9535, prior_entropy: 1.48, recall: 0.9535, relative_absolute_error: 0.2335, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.3886,

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: 0.8738, f_measure: 0.6138, kappa: 0.4895, kb_relative_information_score: 2684.7526, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6089, predictive_accuracy: 0.6285, prior_entropy: 2.3005, recall: 0.6285, relative_absolute_error: 0.6525, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.8136,

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: 0.8738, f_measure: 0.6159, kappa: 0.4917, kb_relative_information_score: 2666.0567, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6114, predictive_accuracy: 0.6298, prior_entropy: 2.3005, recall: 0.6298, relative_absolute_error: 0.6594, 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 mfeat-factors

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9705, kappa: 0.9672, kb_relative_information_score: 1799.1558, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9708, predictive_accuracy: 0.9705, prior_entropy: 3.3219, recall: 0.9705, relative_absolute_error: 0.1885, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.094, root_relative_squared_error: 0.3134,

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: 0.9101, f_measure: 0.6874, kappa: 0.5957, kb_relative_information_score: 4723.3391, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7011, predictive_accuracy: 0.697, prior_entropy: 2.1936, recall: 0.697, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.7554,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.8409, kappa: 0.8233, kb_relative_information_score: 1568.6379, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8418, predictive_accuracy: 0.841, prior_entropy: 3.3219, recall: 0.841, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.5229,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9788, kappa: 0.9766, kb_relative_information_score: 5269.4944, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9789, predictive_accuracy: 0.9787, prior_entropy: 3.4594, recall: 0.9787, relative_absolute_error: 0.0836, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0623, root_relative_squared_error: 0.2168,

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: 0.9848, f_measure: 0.8455, kappa: 0.8289, kb_relative_information_score: 1617.0764, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8458, predictive_accuracy: 0.846, prior_entropy: 3.3219, recall: 0.846, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.5059,

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: 0.985, f_measure: 0.8427, kappa: 0.8256, kb_relative_information_score: 1599.2327, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8432, predictive_accuracy: 0.843, prior_entropy: 3.3219, recall: 0.843, relative_absolute_error: 0.3347, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.153, root_relative_squared_error: 0.5101,

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: 0.9133, f_measure: 0.6944, kappa: 0.6048, kb_relative_information_score: 4648.8546, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7132, predictive_accuracy: 0.7044, prior_entropy: 2.1936, recall: 0.7044, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.7564,

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: 0.8739, f_measure: 0.6222, kappa: 0.5, kb_relative_information_score: 2685.6511, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6173, predictive_accuracy: 0.6347, prior_entropy: 2.3005, recall: 0.6347, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.8135,

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: 0.913, f_measure: 0.6936, kappa: 0.604, kb_relative_information_score: 4698.8499, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7089, predictive_accuracy: 0.7033, prior_entropy: 2.1936, recall: 0.7033, relative_absolute_error: 0.6469, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.7544,

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: 0.9016, f_measure: 0.6686, kappa: 0.5727, kb_relative_information_score: 4367.9485, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.69, predictive_accuracy: 0.6812, prior_entropy: 2.1936, recall: 0.6812, relative_absolute_error: 0.6787, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.7764,

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