OpenML

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: 0.7585, f_measure: 0.779, kappa: 0.2163, kb_relative_information_score: 809.6927, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7904, predictive_accuracy: 0.8199, prior_entropy: 0.7088, recall: 0.8199, relative_absolute_error: 0.8395, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9202,

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 diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7545, kappa: 0.4523, kb_relative_information_score: 250.7145, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7536, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6838, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.838,

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 madelon

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.8688, kappa: 0.7377, kb_relative_information_score: 1278.6622, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8689, predictive_accuracy: 0.8688, prior_entropy: 1, recall: 0.8688, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6697,

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 wilt

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9842, kappa: 0.8421, kb_relative_information_score: 3196.3569, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9841, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.4713,

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: 0.9649, f_measure: 0.9098, kappa: 0.7816, kb_relative_information_score: 3553.4131, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9096, predictive_accuracy: 0.9103, prior_entropy: 0.8733, recall: 0.9103, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.565,

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 cylinder-bands

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8345, kappa: 0.6587, kb_relative_information_score: 253.7049, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8399, predictive_accuracy: 0.837, prior_entropy: 0.9826, recall: 0.837, relative_absolute_error: 0.5655, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6983,

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 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 car

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9839, kappa: 0.9648, kb_relative_information_score: 1628.6314, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9842, predictive_accuracy: 0.9838, prior_entropy: 1.2099, recall: 0.9838, relative_absolute_error: 0.0735, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.2294,

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 balance-scale

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.8371, kappa: 0.7629, kb_relative_information_score: 314.77, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8049, predictive_accuracy: 0.872, prior_entropy: 1.3212, recall: 0.872, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.6366,

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: 0.9917, kappa: 0.9905, kb_relative_information_score: 937.3242, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 2.9931, recall: 0.9917, relative_absolute_error: 0.2578, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.108, root_relative_squared_error: 0.3269,

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: 0.9396, f_measure: 0.9024, kappa: 0.5172, kb_relative_information_score: 441.4135, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9001, predictive_accuracy: 0.9088, prior_entropy: 0.5368, recall: 0.9088, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.7601,

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: 0.9105, f_measure: 0.9281, kappa: 0.2735, kb_relative_information_score: -492.9988, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9346, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7397, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8474,

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: 0.9242, f_measure: 0.854, kappa: 0.6714, kb_relative_information_score: 594.7539, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8536, predictive_accuracy: 0.855, prior_entropy: 0.9226, recall: 0.855, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.6609,

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: 0.9716, f_measure: 0.7666, kappa: 0.7433, kb_relative_information_score: 1443.8747, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7651, predictive_accuracy: 0.769, prior_entropy: 3.3219, recall: 0.769, relative_absolute_error: 0.4197, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.6084,

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: 0.7349, kappa: 0.6533, kb_relative_information_score: 560.5422, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7309, predictive_accuracy: 0.74, prior_entropy: 1.9991, recall: 0.74, relative_absolute_error: 0.4161, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.6339,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1317.5243, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0474, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.1497,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1311.3972, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.053, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0773, root_relative_squared_error: 0.1555,

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: 0.9333, f_measure: 0.8681, kappa: 0.7362, kb_relative_information_score: 1285.1915, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8682, predictive_accuracy: 0.8681, prior_entropy: 1, recall: 0.8681, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.334, root_relative_squared_error: 0.6679,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 683.6262, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.3471,

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: 0.9158, f_measure: 0.9254, kappa: 0.2443, kb_relative_information_score: -535.6245, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9298, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7495, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8466,

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: 0.961, f_measure: 0.905, kappa: 0.7705, kb_relative_information_score: 3416.4664, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9049, predictive_accuracy: 0.9053, prior_entropy: 0.8733, recall: 0.9053, relative_absolute_error: 0.3808, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.5832,

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: 0.812, kappa: 0.6209, kb_relative_information_score: 1676.2671, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8121, predictive_accuracy: 0.8123, prior_entropy: 0.9948, recall: 0.8123, relative_absolute_error: 0.5872, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7457,

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: 0.7268, f_measure: 0.7483, kappa: 0.2615, kb_relative_information_score: 94.0255, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7457, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8332, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.935,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7248, f_measure: 0.7416, kappa: 0.2388, kb_relative_information_score: 90.2228, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.74, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.9321,

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: 0.8101, kappa: 0.7543, kb_relative_information_score: 1418.7492, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8115, predictive_accuracy: 0.8104, prior_entropy: 2.4138, recall: 0.8104, relative_absolute_error: 0.3747, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.587,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.7713, kappa: 0.7494, kb_relative_information_score: 1427.6113, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7689, predictive_accuracy: 0.7745, prior_entropy: 3.3219, recall: 0.7745, relative_absolute_error: 0.41, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.6276,

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: 0.8133, f_measure: 0.822, kappa: 0.4224, kb_relative_information_score: 142.1476, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8203, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.8369,

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: 0.9106, f_measure: 0.9252, kappa: 0.2476, kb_relative_information_score: -583.5763, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9274, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7544, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8515,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9145, kappa: 0.7935, kb_relative_information_score: 3602.5511, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9144, predictive_accuracy: 0.9147, prior_entropy: 0.8733, recall: 0.9147, relative_absolute_error: 0.3449, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.5592,

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: 0.9813, kappa: 0.9792, kb_relative_information_score: 5088.9669, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9814, predictive_accuracy: 0.9813, prior_entropy: 3.3218, recall: 0.9813, relative_absolute_error: 0.1853, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.2937,

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: 0.9903, f_measure: 0.97, kappa: 0.9358, kb_relative_information_score: 489.9487, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.953, recall: 0.9701, relative_absolute_error: 0.1523, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.354,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9534, kappa: 0.9022, kb_relative_information_score: 3738.8577, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9535, predictive_accuracy: 0.9535, prior_entropy: 0.9674, recall: 0.9535, relative_absolute_error: 0.2095, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.3965,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.8087, kappa: 0.6143, kb_relative_information_score: 1678.5357, mean_absolute_error: 0.2907, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8087, predictive_accuracy: 0.8089, prior_entropy: 0.9948, recall: 0.8089, relative_absolute_error: 0.5856, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7483,

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: 0.9655, kappa: 0.9439, kb_relative_information_score: 2354.82, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 1.4804, recall: 0.9655, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4401,

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: 0.9891, f_measure: 0.9582, kappa: 0.9121, kb_relative_information_score: 3685.9699, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9583, predictive_accuracy: 0.9583, prior_entropy: 0.9674, recall: 0.9583, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.3974,

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: 0.9714, f_measure: 0.7694, kappa: 0.7467, kb_relative_information_score: 1438.7758, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7678, predictive_accuracy: 0.772, prior_entropy: 3.3219, recall: 0.772, relative_absolute_error: 0.4243, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.6112,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9675, kappa: 0.9639, kb_relative_information_score: 1806.349, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9679, predictive_accuracy: 0.9675, prior_entropy: 3.3219, recall: 0.9675, relative_absolute_error: 0.181, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.3097,

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: 0.9154, f_measure: 0.9533, kappa: 0.8012, kb_relative_information_score: 3193.6033, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9538, predictive_accuracy: 0.955, prior_entropy: 0.5883, recall: 0.955, relative_absolute_error: 0.3536, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.5679,

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: 0.8239, f_measure: 0.8369, kappa: 0.3059, kb_relative_information_score: 168.6818, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8395, predictive_accuracy: 0.862, prior_entropy: 0.622, recall: 0.862, relative_absolute_error: 0.7676, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.8873,

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: 0.9918, f_measure: 0.9842, kappa: 0.8421, kb_relative_information_score: 3197.7042, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9841, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.232, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.4684,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.6647, kappa: 0.5712, kb_relative_information_score: 411.5092, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6712, predictive_accuracy: 0.6671, prior_entropy: 2.2629, recall: 0.6671, relative_absolute_error: 0.5567, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.7407,

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: 0.9274, f_measure: 0.7673, kappa: 0.745, kb_relative_information_score: 1451.2609, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7654, predictive_accuracy: 0.7705, prior_entropy: 3.3219, recall: 0.7705, relative_absolute_error: 0.3939, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6409,

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: 926.1086, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9419, predictive_accuracy: 0.9417, prior_entropy: 3.1699, recall: 0.9417, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.3852,

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 analcatdata_authorship

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 683.6262, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.3471,

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: 0.962, f_measure: 0.7127, kappa: 0.6833, kb_relative_information_score: 1497.6985, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.715, predictive_accuracy: 0.715, prior_entropy: 3.3219, recall: 0.715, relative_absolute_error: 0.3873, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.6246,

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: 0.9765, kappa: 0.9739, kb_relative_information_score: 1792.516, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9767, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.1986, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.3095,

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: 0.964, kappa: 0.96, kb_relative_information_score: 1631.675, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9642, predictive_accuracy: 0.964, prior_entropy: 3.3219, recall: 0.964, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.4258,

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: 0.9125, f_measure: 0.6651, kappa: 0.5713, kb_relative_information_score: 417.0459, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6728, predictive_accuracy: 0.6671, prior_entropy: 2.2629, recall: 0.6671, relative_absolute_error: 0.5494, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.7377,

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: 0.9973, f_measure: 0.9625, kappa: 0.9583, kb_relative_information_score: 1516.1665, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9627, predictive_accuracy: 0.9625, prior_entropy: 3.3219, recall: 0.9625, relative_absolute_error: 0.4239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.499,

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: 0.9985, f_measure: 0.973, kappa: 0.97, kb_relative_information_score: 1762.7765, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9733, predictive_accuracy: 0.973, prior_entropy: 3.3219, recall: 0.973, relative_absolute_error: 0.2218, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1006, root_relative_squared_error: 0.3353,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9363, kappa: 0.9258, kb_relative_information_score: 2109.6904, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9366, predictive_accuracy: 0.9364, prior_entropy: 2.8074, recall: 0.9364, relative_absolute_error: 0.1367, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.3311,

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: 0.9986, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 753.056, mean_absolute_error: 0.1192, 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: 0.2632, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.3512,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.966, kappa: 0.9265, kb_relative_information_score: 1388.2001, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9673, predictive_accuracy: 0.9659, prior_entropy: 1.2099, recall: 0.9659, relative_absolute_error: 0.2765, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.3998,

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: 0.9977, f_measure: 0.959, kappa: 0.9544, kb_relative_information_score: 1576.3973, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9591, predictive_accuracy: 0.959, prior_entropy: 3.3219, recall: 0.959, relative_absolute_error: 0.3745, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.4645,

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: 0.9382, kappa: 0.9302, kb_relative_information_score: 936.9552, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9387, predictive_accuracy: 0.938, prior_entropy: 3.1699, recall: 0.938, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.3734,

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: 0.8818, f_measure: 0.8071, kappa: 0.6112, kb_relative_information_score: 1559.3765, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8071, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7539,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9673, kappa: 0.966, kb_relative_information_score: 18557.2961, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9675, predictive_accuracy: 0.9673, prior_entropy: 4.6998, recall: 0.9673, relative_absolute_error: 0.1674, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0597, 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 ozone-level-8hr

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.9274, kappa: 0.2725, kb_relative_information_score: -593.6995, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.93, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7538, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.8499,

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: 0.9974, f_measure: 0.96, kappa: 0.9556, kb_relative_information_score: 1550.3987, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9602, predictive_accuracy: 0.96, prior_entropy: 3.3219, recall: 0.96, relative_absolute_error: 0.3917, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.4828,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9647, kappa: 0.9242, kb_relative_information_score: 486.9861, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.965, predictive_accuracy: 0.9649, prior_entropy: 0.953, recall: 0.9649, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3595,

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: 0.9981, f_measure: 0.9625, kappa: 0.9583, kb_relative_information_score: 1644.4149, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9627, predictive_accuracy: 0.9625, prior_entropy: 3.3219, recall: 0.9625, relative_absolute_error: 0.3254, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.4177,

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: 0.9917, kappa: 0.9905, kb_relative_information_score: 937.3242, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 2.9931, recall: 0.9917, relative_absolute_error: 0.2578, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.108, root_relative_squared_error: 0.3269,

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: 0.9901, f_measure: 0.97, kappa: 0.9358, kb_relative_information_score: 489.2927, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.953, recall: 0.9701, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.3639,

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: 0.9489, f_measure: 0.805, kappa: 0.7469, kb_relative_information_score: 1397.5393, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8072, predictive_accuracy: 0.8047, prior_entropy: 2.4138, recall: 0.8047, relative_absolute_error: 0.3908, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.5961,

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: 0.9723, f_measure: 0.7634, kappa: 0.74, kb_relative_information_score: 1451.8794, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7618, predictive_accuracy: 0.766, prior_entropy: 3.3219, recall: 0.766, relative_absolute_error: 0.419, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.603,

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: 0.9186, f_measure: 0.8238, kappa: 0.6368, kb_relative_information_score: 251.4397, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.827, predictive_accuracy: 0.8259, prior_entropy: 0.9826, recall: 0.8259, relative_absolute_error: 0.5688, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.7036,

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: 0.7911, f_measure: 0.7422, kappa: 0.3623, kb_relative_information_score: 194.9374, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7474, predictive_accuracy: 0.761, prior_entropy: 0.8818, recall: 0.761, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.8807,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9697, kappa: 0.9667, kb_relative_information_score: 846.8584, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.97, predictive_accuracy: 0.9697, prior_entropy: 3.4594, recall: 0.9697, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.3901,

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: 0.8489, kappa: 0.8322, kb_relative_information_score: 1602.7473, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8496, predictive_accuracy: 0.849, prior_entropy: 3.3219, recall: 0.849, relative_absolute_error: 0.3312, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.5091,

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: 0.9815, kappa: 0.9794, kb_relative_information_score: 5080.8658, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9815, predictive_accuracy: 0.9815, prior_entropy: 3.3218, recall: 0.9815, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.296,

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: 0.9961, f_measure: 0.9398, kappa: 0.9323, kb_relative_information_score: 907.2246, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.94, predictive_accuracy: 0.9398, prior_entropy: 3.1699, recall: 0.9398, relative_absolute_error: 0.2732, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.4057,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8628, kappa: 0.6903, kb_relative_information_score: 595.6564, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8629, predictive_accuracy: 0.8645, prior_entropy: 0.9226, recall: 0.8645, relative_absolute_error: 0.4531, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6542,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.7162, kappa: 0.6328, kb_relative_information_score: 549.8041, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7111, predictive_accuracy: 0.7246, prior_entropy: 1.9991, recall: 0.7246, relative_absolute_error: 0.4356, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.275, root_relative_squared_error: 0.6352,

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: 1330.9903, mean_absolute_error: 0.0172, 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: 0.0348, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0716, root_relative_squared_error: 0.1441,

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: 0.918, f_measure: 0.8316, kappa: 0.6531, kb_relative_information_score: 252.9255, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.834, predictive_accuracy: 0.8333, prior_entropy: 0.9826, recall: 0.8333, relative_absolute_error: 0.5658, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.702,

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: 0.9042, f_measure: 0.6763, kappa: 0.5822, kb_relative_information_score: 4435.8696, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6972, predictive_accuracy: 0.6879, prior_entropy: 2.1936, recall: 0.6879, relative_absolute_error: 0.6735, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.7726,

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: 0.992, f_measure: 0.9026, kappa: 0.8896, kb_relative_information_score: 949.161, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9044, predictive_accuracy: 0.9019, prior_entropy: 3.1699, recall: 0.9019, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.124, root_relative_squared_error: 0.3947,

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: 0.7256, f_measure: 0.7492, kappa: 0.2648, kb_relative_information_score: 94.7753, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7462, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8361, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.9348,

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: 0.9393, f_measure: 0.7729, kappa: 0.7511, kb_relative_information_score: 1437.3601, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7705, predictive_accuracy: 0.776, prior_entropy: 3.3219, recall: 0.776, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.643,

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: 0.9866, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 485.7715, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.3774,

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: 0.9991, f_measure: 0.9765, kappa: 0.9489, kb_relative_information_score: 1587.2394, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9773, predictive_accuracy: 0.9763, prior_entropy: 1.2099, recall: 0.9763, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.2792,

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: 0.9905, kappa: 0.9861, kb_relative_information_score: 702.4165, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7898, recall: 0.9905, relative_absolute_error: 0.2496, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.3206,

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: 0.6122, kappa: 0.487, kb_relative_information_score: 2659.8701, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6072, predictive_accuracy: 0.6268, prior_entropy: 2.3005, recall: 0.6268, relative_absolute_error: 0.6584, 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 vowel

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9708, kappa: 0.9678, kb_relative_information_score: 847.5478, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9713, predictive_accuracy: 0.9707, prior_entropy: 3.4594, recall: 0.9707, relative_absolute_error: 0.2928, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.3798,

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