OpenML

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: 0.9086, f_measure: 0.662, kappa: 0.5675, kb_relative_information_score: 404.8248, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6719, predictive_accuracy: 0.6644, prior_entropy: 2.2629, recall: 0.6644, relative_absolute_error: 0.5634, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.7514,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9665, kappa: 0.9282, kb_relative_information_score: 489.3232, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9666, predictive_accuracy: 0.9666, prior_entropy: 0.953, recall: 0.9666, relative_absolute_error: 0.1527, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3575,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set ozone-level-8hr

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.9261, kappa: 0.2529, kb_relative_information_score: -569.2978, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9306, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8527,

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: 0.9918, f_measure: 0.9643, kappa: 0.9209, kb_relative_information_score: 604.7346, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9643, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.3626,

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: 0.9943, f_measure: 0.973, kappa: 0.9453, kb_relative_information_score: 10229.6873, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.9906, recall: 0.973, relative_absolute_error: 0.0802, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.2763,

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: 0.6273, f_measure: 0.5849, kappa: 0.1482, kb_relative_information_score: 34.9875, mean_absolute_error: 0.4576, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.594, predictive_accuracy: 0.606, prior_entropy: 0.9816, recall: 0.606, relative_absolute_error: 0.9392, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9819,

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: 0.9898, f_measure: 0.9842, kappa: 0.8415, kb_relative_information_score: 3173.5798, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.984, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2342, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.108, root_relative_squared_error: 0.4782,

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: 0.9322, f_measure: 0.8692, kappa: 0.7385, kb_relative_information_score: 1263.3145, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8693, predictive_accuracy: 0.8692, prior_entropy: 1, recall: 0.8692, relative_absolute_error: 0.5629, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6719,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9935, kappa: 0.9926, kb_relative_information_score: 946.7803, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9936, predictive_accuracy: 0.9935, prior_entropy: 2.9931, recall: 0.9935, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.315,

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: 0.9994, f_measure: 0.98, kappa: 0.9563, kb_relative_information_score: 1596.7766, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9806, predictive_accuracy: 0.9797, prior_entropy: 1.2099, recall: 0.9797, relative_absolute_error: 0.0985, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.089, root_relative_squared_error: 0.2633,

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: 0.9475, f_measure: 0.8039, kappa: 0.7461, kb_relative_information_score: 1402.8872, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8057, predictive_accuracy: 0.8042, prior_entropy: 2.4138, recall: 0.8042, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.5977,

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: 0.7249, f_measure: 0.7445, kappa: 0.2485, kb_relative_information_score: 89.2572, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7427, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8445, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.933,

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: 0.9884, f_measure: 0.9571, kappa: 0.9101, kb_relative_information_score: 3840.0269, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9571, predictive_accuracy: 0.9572, prior_entropy: 0.9674, recall: 0.9572, relative_absolute_error: 0.1829, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.3833,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.8395, kappa: 0.8228, kb_relative_information_score: 1538.7108, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8395, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.3862, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.16, root_relative_squared_error: 0.5333,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.976, kappa: 0.9733, kb_relative_information_score: 1818.8724, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9761, predictive_accuracy: 0.976, prior_entropy: 3.3219, recall: 0.976, relative_absolute_error: 0.1683, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.2963,

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: 0.7921, f_measure: 0.747, kappa: 0.375, kb_relative_information_score: 198.9352, mean_absolute_error: 0.3334, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.751, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.7935, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8785,

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: 0.9943, f_measure: 0.9752, kappa: 0.9498, kb_relative_information_score: 9904.8839, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9752, predictive_accuracy: 0.9752, prior_entropy: 0.9906, recall: 0.9752, relative_absolute_error: 0.1178, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.2911,

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: 0.9928, f_measure: 0.9209, kappa: 0.9049, kb_relative_information_score: 5601.4714, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9212, predictive_accuracy: 0.9232, prior_entropy: 2.4836, recall: 0.9232, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.3887,

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: 0.9835, kappa: 0.8355, kb_relative_information_score: 3168.0507, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9834, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2405, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.4772,

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: 0.961, f_measure: 0.7169, kappa: 0.6872, kb_relative_information_score: 1490.1258, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7187, predictive_accuracy: 0.7185, prior_entropy: 3.3219, recall: 0.7185, relative_absolute_error: 0.3928, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.6275,

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: 0.9822, kappa: 0.9802, kb_relative_information_score: 5062.0932, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 3.3218, recall: 0.9822, relative_absolute_error: 0.1958, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.09, root_relative_squared_error: 0.2999,

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: 0.9962, f_measure: 0.9416, kappa: 0.9344, kb_relative_information_score: 912.2717, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9418, predictive_accuracy: 0.9417, prior_entropy: 3.1699, recall: 0.9417, relative_absolute_error: 0.2662, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.4003,

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: 0.9155, f_measure: 0.8183, kappa: 0.6254, kb_relative_information_score: 247.9996, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8211, predictive_accuracy: 0.8204, prior_entropy: 0.9826, recall: 0.8204, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.709,

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: 0.8498, f_measure: 0.8805, kappa: 0.2451, kb_relative_information_score: -171.1732, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8832, predictive_accuracy: 0.9047, prior_entropy: 0.478, recall: 0.9047, relative_absolute_error: 0.7995, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.8904,

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: 0.8824, f_measure: 0.811, kappa: 0.619, kb_relative_information_score: 1690.528, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.811, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.5828, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7451,

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: 0.9878, f_measure: 0.9532, kappa: 0.9018, kb_relative_information_score: 3758.878, mean_absolute_error: 0.0973, 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: 0.2036, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.3963,

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: 0.9994, f_measure: 0.9799, kappa: 0.9563, kb_relative_information_score: 1599.4593, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9806, predictive_accuracy: 0.9797, prior_entropy: 1.2099, recall: 0.9797, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.261,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9907, kappa: 0.9894, kb_relative_information_score: 941.7869, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9908, predictive_accuracy: 0.9907, prior_entropy: 2.9931, recall: 0.9907, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.3194,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.9185, kappa: 0.2791, kb_relative_information_score: -300.2419, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9144, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.7868, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.9216,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.9224, kappa: 0.4397, kb_relative_information_score: 78.6801, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9238, predictive_accuracy: 0.9333, prior_entropy: 0.4254, recall: 0.9333, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.8044,

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: 0.9646, kappa: 0.9631, kb_relative_information_score: 18141.4594, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9649, predictive_accuracy: 0.9646, prior_entropy: 4.6998, recall: 0.9646, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.351,

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: 0.9972, kappa: 0.9958, kb_relative_information_score: 5407.6455, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 1.7151, recall: 0.9973, relative_absolute_error: 0.0118, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0356, root_relative_squared_error: 0.0876,

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: 0.9904, f_measure: 0.9718, kappa: 0.9396, kb_relative_information_score: 489.2086, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.953, recall: 0.9719, relative_absolute_error: 0.1526, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3588,

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: 0.9944, f_measure: 0.9727, kappa: 0.9446, kb_relative_information_score: 10271.2791, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9727, predictive_accuracy: 0.9727, prior_entropy: 0.9906, recall: 0.9727, relative_absolute_error: 0.0751, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.2764,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.9221, kappa: 0.3131, kb_relative_information_score: -250.544, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9192, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.776, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.8965,

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: 0.8147, f_measure: 0.8204, kappa: 0.418, kb_relative_information_score: 141.6321, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8182, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.338, root_relative_squared_error: 0.8373,

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: 0.9853, kb_relative_information_score: 1312.8688, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.1516,

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: 0.9943, f_measure: 0.9732, kappa: 0.9457, kb_relative_information_score: 10251.5231, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9732, predictive_accuracy: 0.9732, prior_entropy: 0.9906, recall: 0.9732, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.2764,

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: 0.9877, f_measure: 0.9532, kappa: 0.9018, kb_relative_information_score: 3736.6526, mean_absolute_error: 0.1002, 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: 0.2098, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1944, 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 PhishingWebsites

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.973, kappa: 0.9453, kb_relative_information_score: 10188.2406, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9731, predictive_accuracy: 0.973, prior_entropy: 0.9906, recall: 0.973, relative_absolute_error: 0.0845, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.2805,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9729, kappa: 0.9452, kb_relative_information_score: 10267.1354, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.9906, recall: 0.973, relative_absolute_error: 0.0758, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.2753,

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: 0.9963, f_measure: 0.9426, kappa: 0.9354, kb_relative_information_score: 918.3536, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9428, predictive_accuracy: 0.9426, prior_entropy: 3.1699, recall: 0.9426, relative_absolute_error: 0.2571, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.392,

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: 0.7229, f_measure: 0.7453, kappa: 0.2527, kb_relative_information_score: 85.6425, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7421, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.9359,

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: 0.9473, f_measure: 0.8301, kappa: 0.7483, kb_relative_information_score: 329.2917, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7989, predictive_accuracy: 0.864, prior_entropy: 1.3212, recall: 0.864, relative_absolute_error: 0.4696, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.6354,

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: 0.9641, f_measure: 0.9109, kappa: 0.7847, kb_relative_information_score: 3520.4888, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9108, predictive_accuracy: 0.9112, prior_entropy: 0.8733, recall: 0.9112, relative_absolute_error: 0.3626, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.567,

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: 0.9178, f_measure: 0.9242, kappa: 0.225, kb_relative_information_score: -472.1613, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9324, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7471, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8472,

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: 0.9645, f_measure: 0.9121, kappa: 0.7874, kb_relative_information_score: 3500.0732, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9119, predictive_accuracy: 0.9125, prior_entropy: 0.8733, recall: 0.9125, relative_absolute_error: 0.3679, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.5675,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9747, kappa: 0.9722, kb_relative_information_score: 848.8864, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9748, predictive_accuracy: 0.9747, prior_entropy: 3.4594, recall: 0.9747, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.3809,

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: 0.833, f_measure: 0.8641, kappa: 0.1264, kb_relative_information_score: -283.0658, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8606, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.9187,

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: 0.5599, f_measure: 0.2042, kappa: 0.0454, kb_relative_information_score: 52.9653, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2081, predictive_accuracy: 0.2095, prior_entropy: 2.5803, recall: 0.2095, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3753, root_relative_squared_error: 1.0078,

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: 0.9946, f_measure: 0.968, kappa: 0.948, kb_relative_information_score: 2328.7329, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 1.4804, recall: 0.968, relative_absolute_error: 0.3643, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.4457,

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: 0.9822, kappa: 0.9804, kb_relative_information_score: 5240.2243, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9823, predictive_accuracy: 0.9822, prior_entropy: 3.4594, recall: 0.9822, relative_absolute_error: 0.0974, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0633, root_relative_squared_error: 0.2201,

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: 0.9162, f_measure: 0.6678, kappa: 0.5741, kb_relative_information_score: 418.8512, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.673, predictive_accuracy: 0.6685, prior_entropy: 2.2629, recall: 0.6685, relative_absolute_error: 0.5464, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.7337,

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: 0.9071, f_measure: 0.6555, kappa: 0.5645, kb_relative_information_score: 372.5828, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.667, predictive_accuracy: 0.6644, prior_entropy: 2.2629, recall: 0.6644, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.7572,

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: 5259.1753, mean_absolute_error: 0.0148, 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: 0.0896, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0615, root_relative_squared_error: 0.214,

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: 0.9223, f_measure: 0.8638, kappa: 0.7244, kb_relative_information_score: 401.9204, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8639, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4449, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.6588,

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: 0.8271, f_measure: 0.8353, kappa: 0.2955, kb_relative_information_score: 162.7682, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8404, predictive_accuracy: 0.8625, prior_entropy: 0.622, recall: 0.8625, relative_absolute_error: 0.7689, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.8838,

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: 0.8304, f_measure: 0.8384, kappa: 0.3198, kb_relative_information_score: 204.7156, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8369, predictive_accuracy: 0.8596, prior_entropy: 0.622, recall: 0.8596, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.8803,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.9516, kappa: 0.793, kb_relative_information_score: 3185.3877, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9524, predictive_accuracy: 0.9536, prior_entropy: 0.5883, recall: 0.9536, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.5647,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.8697, kappa: 0.7366, kb_relative_information_score: 423.4531, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8701, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.4144, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6266,

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: 0.6155, f_measure: 0.5764, kappa: 0.1309, kb_relative_information_score: 31.413, mean_absolute_error: 0.4599, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5845, predictive_accuracy: 0.598, prior_entropy: 0.9816, recall: 0.598, relative_absolute_error: 0.944, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4882, root_relative_squared_error: 0.9892,

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: 0.7592, f_measure: 0.7823, kappa: 0.2307, kb_relative_information_score: 777.6844, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7893, predictive_accuracy: 0.8195, prior_entropy: 0.7088, recall: 0.8195, relative_absolute_error: 0.834, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9204,

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: 0.9987, f_measure: 0.9685, kappa: 0.965, kb_relative_information_score: 1801.6424, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9687, predictive_accuracy: 0.9685, prior_entropy: 3.3219, recall: 0.9685, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.3103,

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: 0.7602, f_measure: 0.7836, kappa: 0.2353, kb_relative_information_score: 778.6631, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.791, predictive_accuracy: 0.8204, prior_entropy: 0.7088, recall: 0.8204, relative_absolute_error: 0.8345, 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 cmc

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, f_measure: 0.5477, kappa: 0.2965, kb_relative_information_score: 371.2997, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5491, predictive_accuracy: 0.5506, prior_entropy: 1.5392, recall: 0.5506, relative_absolute_error: 0.8148, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9229,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9707, kappa: 0.9678, kb_relative_information_score: 863.7641, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.971, predictive_accuracy: 0.9707, prior_entropy: 3.4594, recall: 0.9707, relative_absolute_error: 0.2631, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.3612,

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: 0.823, f_measure: 0.7556, kappa: 0.4533, kb_relative_information_score: 242.3662, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7558, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6942, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8438,

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: 1, f_measure: 0.9961, kappa: 0.9942, kb_relative_information_score: 5388.7587, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 1.7151, recall: 0.9962, relative_absolute_error: 0.0176, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0386, root_relative_squared_error: 0.095,

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: 0.938, kappa: 0.9278, kb_relative_information_score: 2119.7952, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9381, predictive_accuracy: 0.9381, prior_entropy: 2.8074, recall: 0.9381, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.3276,

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: 0.5698, f_measure: 0.1995, kappa: 0.0412, kb_relative_information_score: 62.1235, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1993, predictive_accuracy: 0.2045, prior_entropy: 2.5803, recall: 0.2045, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.9995,

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: 0.9987, f_measure: 0.971, kappa: 0.9678, kb_relative_information_score: 1823.0199, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9712, predictive_accuracy: 0.971, prior_entropy: 3.3219, recall: 0.971, relative_absolute_error: 0.1661, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0886, 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 wall-robot-navigation

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9963, kappa: 0.9945, kb_relative_information_score: 5392.7039, mean_absolute_error: 0.0052, 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: 0.0158, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0389, root_relative_squared_error: 0.0956,

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: 0.9966, f_measure: 0.955, kappa: 0.95, kb_relative_information_score: 1394.4366, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9554, predictive_accuracy: 0.955, prior_entropy: 3.3219, recall: 0.955, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.5694,

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: 0.7925, f_measure: 0.734, kappa: 0.3404, kb_relative_information_score: 192.0798, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7429, predictive_accuracy: 0.757, prior_entropy: 0.8818, recall: 0.757, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8798,

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: 0.992, f_measure: 0.9564, kappa: 0.929, kb_relative_information_score: 2426.6413, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9566, predictive_accuracy: 0.9564, prior_entropy: 1.48, recall: 0.9564, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.4338,

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: 0.9279, f_measure: 0.8682, kappa: 0.7333, kb_relative_information_score: 428.7642, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8683, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.4047, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6314,

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: 0.9925, f_measure: 0.9172, kappa: 0.9003, kb_relative_information_score: 5602.7894, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9176, predictive_accuracy: 0.9194, prior_entropy: 2.4836, recall: 0.9194, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.3925,

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: 0.9571, kappa: 0.9302, kb_relative_information_score: 2460.7319, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9573, predictive_accuracy: 0.957, prior_entropy: 1.48, recall: 0.957, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.189, root_relative_squared_error: 0.4174,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9904, kappa: 0.916, kb_relative_information_score: 3168.6654, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 0.3333, recall: 0.9905, relative_absolute_error: 0.1049, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.3395,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.8331, kappa: 0.6559, kb_relative_information_score: 255.0247, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8368, predictive_accuracy: 0.8352, prior_entropy: 0.9826, recall: 0.8352, relative_absolute_error: 0.5642, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.6917,

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: 0.9998, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 710.2673, mean_absolute_error: 0.1454, 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: 0.321, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.3815,

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: 0.9996, f_measure: 0.978, kappa: 0.9758, kb_relative_information_score: 5228.2768, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9781, predictive_accuracy: 0.978, prior_entropy: 3.4594, recall: 0.978, relative_absolute_error: 0.0998, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2297,

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: 0.9989, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 3161.1883, mean_absolute_error: 0.0058, 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: 0.0115, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0575, root_relative_squared_error: 0.1152,

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: 0.9957, f_measure: 0.9379, kappa: 0.9278, kb_relative_information_score: 2120.0446, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9381, predictive_accuracy: 0.9381, prior_entropy: 2.8074, recall: 0.9381, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.3282,

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: 0.9253, f_measure: 0.8697, kappa: 0.7366, kb_relative_information_score: 405.0322, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8701, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.4412, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6517,

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: 0.9959, kappa: 0.9918, kb_relative_information_score: 3156.3578, mean_absolute_error: 0.0068, 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: 0.0137, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.1109,

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: 0.995, f_measure: 0.968, kappa: 0.948, kb_relative_information_score: 2471.8145, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9681, predictive_accuracy: 0.968, prior_entropy: 1.4804, recall: 0.968, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.4049,

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: 0.8096, kappa: 0.6162, kb_relative_information_score: 1652.9494, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7478,

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: 0.5954, f_measure: 0.5851, kappa: 0.144, kb_relative_information_score: 29.0146, mean_absolute_error: 0.461, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.587, predictive_accuracy: 0.598, prior_entropy: 0.9816, recall: 0.598, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0084,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9915, kappa: 0.9259, kb_relative_information_score: 3041.1535, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9915, predictive_accuracy: 0.9915, prior_entropy: 0.3333, recall: 0.9915, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.3496,

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: 0.8261, f_measure: 0.7615, kappa: 0.4685, kb_relative_information_score: 250.1271, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7607, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6835, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8371,

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: 0.992, kappa: 0.9911, kb_relative_information_score: 10690.7832, mean_absolute_error: 0.0103, 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: 0.0573, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.157,

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: 0.833, f_measure: 0.7602, kappa: 0.4674, kb_relative_information_score: 255.4145, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.759, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6767, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8327,

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: 0.9646, kappa: 0.9631, kb_relative_information_score: 18141.4594, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9649, predictive_accuracy: 0.9646, prior_entropy: 4.6998, recall: 0.9646, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.351,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.5533, kappa: 0.3056, kb_relative_information_score: 351.9515, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5551, predictive_accuracy: 0.5553, prior_entropy: 1.5392, recall: 0.5553, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.9138,

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: 0.995, f_measure: 0.9653, kappa: 0.9435, kb_relative_information_score: 2468.0717, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9653, predictive_accuracy: 0.9652, prior_entropy: 1.4804, recall: 0.9652, relative_absolute_error: 0.3085, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.4053,

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: 0.9283, f_measure: 0.7425, kappa: 0.6627, kb_relative_information_score: 561.9215, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7388, predictive_accuracy: 0.747, prior_entropy: 1.9991, recall: 0.747, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.6334,

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: 0.9996, f_measure: 0.9786, kappa: 0.9688, kb_relative_information_score: 757.2338, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9788, predictive_accuracy: 0.9786, prior_entropy: 1.7898, recall: 0.9786, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.109, root_relative_squared_error: 0.2628,

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: 0.9294, f_measure: 0.8572, kappa: 0.6777, kb_relative_information_score: 594.3402, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8571, predictive_accuracy: 0.8588, prior_entropy: 0.9226, recall: 0.8588, relative_absolute_error: 0.4554, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.6516,

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,

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