OpenML

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: 0.942, f_measure: 0.8548, kappa: 0.7957, kb_relative_information_score: 290.5856, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8227, predictive_accuracy: 0.8896, prior_entropy: 1.3212, recall: 0.8896, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.286, root_relative_squared_error: 0.6565,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.7135, kappa: 0.6839, kb_relative_information_score: 1495.236, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7151, predictive_accuracy: 0.7155, prior_entropy: 3.3219, recall: 0.7155, relative_absolute_error: 0.3889, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.6249,

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: 0.9309, f_measure: 0.8662, kappa: 0.6987, kb_relative_information_score: 601.9361, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.866, predictive_accuracy: 0.8673, prior_entropy: 0.9226, recall: 0.8673, relative_absolute_error: 0.4486, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6465,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.808, kappa: 0.7512, kb_relative_information_score: 1414.2436, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8095, predictive_accuracy: 0.8078, prior_entropy: 2.4138, recall: 0.8078, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.5913,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.8617, kappa: 0.6874, kb_relative_information_score: 587.0974, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8619, predictive_accuracy: 0.8635, prior_entropy: 0.9226, recall: 0.8635, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6555,

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: 0.9934, f_measure: 0.921, kappa: 0.9104, kb_relative_information_score: 818.0821, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.923, predictive_accuracy: 0.9204, prior_entropy: 3.1699, recall: 0.9204, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.4993,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9879, kappa: 0.9862, kb_relative_information_score: 927.583, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9881, predictive_accuracy: 0.988, prior_entropy: 2.9931, recall: 0.988, relative_absolute_error: 0.27, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.3477,

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: 949.942, mean_absolute_error: 0.0516, 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: 0.2361, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.103, root_relative_squared_error: 0.3115,

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: 0.9675, f_measure: 0.7705, kappa: 0.7489, kb_relative_information_score: 1431.2462, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7678, predictive_accuracy: 0.774, prior_entropy: 3.3219, recall: 0.774, relative_absolute_error: 0.4183, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.6213,

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: 0.8296, f_measure: 0.8407, kappa: 0.3281, kb_relative_information_score: 196.1427, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8402, predictive_accuracy: 0.862, prior_entropy: 0.622, recall: 0.862, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.8816,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9914, kappa: 0.9905, kb_relative_information_score: 10634.6574, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9915, predictive_accuracy: 0.9914, prior_entropy: 3.3208, recall: 0.9914, relative_absolute_error: 0.0677, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.1709,

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: 0.9373, kappa: 0.7537, kb_relative_information_score: 260.3607, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8672, prior_entropy: 1.3212, recall: 0.8672, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6925,

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: 0.8413, f_measure: 0.8649, kappa: 0.1298, kb_relative_information_score: -229.0338, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8639, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.9098,

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: 0.9291, f_measure: 0.8587, kappa: 0.6819, kb_relative_information_score: 593.8392, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8583, predictive_accuracy: 0.8597, prior_entropy: 0.9226, recall: 0.8597, relative_absolute_error: 0.455, 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 analcatdata_authorship

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.981, kappa: 0.9723, kb_relative_information_score: 761.0704, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 1.7898, recall: 0.981, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.2583,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9928, kappa: 0.9856, kb_relative_information_score: 2969.2586, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.9986, recall: 0.9928, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.096, root_relative_squared_error: 0.1923,

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: 0.967, f_measure: 0.9103, kappa: 0.7824, kb_relative_information_score: 3566.9708, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.91, predictive_accuracy: 0.9108, prior_entropy: 0.8733, recall: 0.9108, relative_absolute_error: 0.3536, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.5585,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1320.4391, mean_absolute_error: 0.0217, 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: 0.044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0767, root_relative_squared_error: 0.1544,

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: 0.9935, f_measure: 0.9729, kappa: 0.9402, kb_relative_information_score: 600.6365, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9732, predictive_accuracy: 0.9728, prior_entropy: 0.9297, recall: 0.9728, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3439,

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: 0.9302, f_measure: 0.7347, kappa: 0.6581, kb_relative_information_score: 535.6996, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7297, predictive_accuracy: 0.7435, prior_entropy: 1.9991, recall: 0.7435, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.6371,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 1814.0505, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 3.3219, recall: 0.981, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.2887,

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: 0.727, f_measure: 0.757, kappa: 0.2882, kb_relative_information_score: 95.0359, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7554, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8332, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.397, root_relative_squared_error: 0.9323,

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: 0.9907, f_measure: 0.9683, kappa: 0.9319, kb_relative_information_score: 489.7296, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.953, recall: 0.9684, relative_absolute_error: 0.1523, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.171, root_relative_squared_error: 0.3536,

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: 0.9174, f_measure: 0.9515, kappa: 0.7933, kb_relative_information_score: 3207.9154, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9521, predictive_accuracy: 0.9534, prior_entropy: 0.5883, recall: 0.9534, relative_absolute_error: 0.3483, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.563,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set 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: 707.7827, mean_absolute_error: 0.0822, 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: 0.2391, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1306, root_relative_squared_error: 0.3151,

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: 0.8355, f_measure: 0.8637, kappa: 0.1289, kb_relative_information_score: -243.0273, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8572, predictive_accuracy: 0.8944, prior_entropy: 0.478, recall: 0.8944, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.9156,

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: 0.906, f_measure: 0.8268, kappa: 0.6428, kb_relative_information_score: 228.4986, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8327, predictive_accuracy: 0.8296, prior_entropy: 0.9826, recall: 0.8296, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7326,

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: 0.9635, kappa: 0.9594, kb_relative_information_score: 1632.8717, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9637, predictive_accuracy: 0.9635, prior_entropy: 3.3219, recall: 0.9635, relative_absolute_error: 0.3351, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1273, root_relative_squared_error: 0.4242,

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: 0.9134, kappa: 0.7908, kb_relative_information_score: 3584.4461, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9133, predictive_accuracy: 0.9136, prior_entropy: 0.8733, recall: 0.9136, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2547, 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 blood-transfusion-service-center

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.7414, kappa: 0.2405, kb_relative_information_score: 89.4206, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7379, predictive_accuracy: 0.7687, prior_entropy: 0.7928, recall: 0.7687, relative_absolute_error: 0.842, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.9402,

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: 0.9267, f_measure: 0.8669, kappa: 0.6998, kb_relative_information_score: 592.1243, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8668, predictive_accuracy: 0.8682, prior_entropy: 0.9226, recall: 0.8682, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.6557,

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: 0.9383, f_measure: 0.8965, kappa: 0.4806, kb_relative_information_score: 385.5586, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8946, predictive_accuracy: 0.9053, prior_entropy: 0.5368, recall: 0.9053, relative_absolute_error: 0.5845, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.7676,

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: 0.9612, f_measure: 0.711, kappa: 0.6806, kb_relative_information_score: 1484.4009, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7141, predictive_accuracy: 0.7125, prior_entropy: 3.3219, recall: 0.7125, relative_absolute_error: 0.3999, 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 breast-w

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9743, kappa: 0.9434, kb_relative_information_score: 597.7623, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9747, predictive_accuracy: 0.9742, prior_entropy: 0.9297, recall: 0.9742, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.3453,

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

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

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9811, kappa: 0.979, kb_relative_information_score: 5086.4974, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9812, predictive_accuracy: 0.9811, prior_entropy: 3.3218, recall: 0.9811, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.2935,

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: 0.9889, f_measure: 0.9555, kappa: 0.9067, kb_relative_information_score: 3682.8553, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9557, predictive_accuracy: 0.9557, prior_entropy: 0.9674, recall: 0.9557, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.4001,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9829, kappa: 0.981, kb_relative_information_score: 5082.4212, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.983, predictive_accuracy: 0.9829, prior_entropy: 3.3218, recall: 0.9829, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.2926,

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: 0.9155, f_measure: 0.9517, kappa: 0.7938, kb_relative_information_score: 3210.4619, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9523, predictive_accuracy: 0.9536, prior_entropy: 0.5883, recall: 0.9536, relative_absolute_error: 0.3491, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.5634,

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: 0.6095, f_measure: 0.5905, kappa: 0.1564, kb_relative_information_score: 35.986, mean_absolute_error: 0.4557, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.595, predictive_accuracy: 0.606, prior_entropy: 0.9816, recall: 0.606, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9903,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7423, kappa: 0.4235, kb_relative_information_score: 244.4473, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7419, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.6912, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8401,

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: 0.735, f_measure: 0.5562, kappa: 0.3112, kb_relative_information_score: 357.319, mean_absolute_error: 0.3555, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5577, predictive_accuracy: 0.558, prior_entropy: 1.5392, recall: 0.558, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.9162,

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: 0.9996, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 679.9017, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.3551, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.4176,

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: 0.9516, kappa: 0.8042, kb_relative_information_score: 270.8437, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8944, prior_entropy: 1.3212, recall: 0.8944, relative_absolute_error: 0.5773, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6737,

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: 0.7346, f_measure: 0.5516, kappa: 0.3036, kb_relative_information_score: 355.8436, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5529, predictive_accuracy: 0.554, prior_entropy: 1.5392, recall: 0.554, relative_absolute_error: 0.8259, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.9163,

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: 0.9456, f_measure: 0.8944, kappa: 0.4613, kb_relative_information_score: 383.5289, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8945, predictive_accuracy: 0.906, prior_entropy: 0.5368, recall: 0.906, relative_absolute_error: 0.5993, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.7565,

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: 0.7128, kappa: 0.6828, kb_relative_information_score: 1489.1162, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7137, predictive_accuracy: 0.7145, prior_entropy: 3.3219, recall: 0.7145, relative_absolute_error: 0.386, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.6347,

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: 0.9298, f_measure: 0.7282, kappa: 0.647, kb_relative_information_score: 544.7304, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7235, predictive_accuracy: 0.7352, prior_entropy: 1.9991, recall: 0.7352, relative_absolute_error: 0.4439, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.6355,

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: 0.7862, kappa: 0.2452, kb_relative_information_score: 857.114, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7937, predictive_accuracy: 0.8219, prior_entropy: 0.7088, recall: 0.8219, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9186,

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: 0.9135, f_measure: 0.9296, kappa: 0.3009, kb_relative_information_score: -487.1807, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9314, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.8422,

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: 0.9118, f_measure: 0.6715, kappa: 0.5795, kb_relative_information_score: 413.3861, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6777, predictive_accuracy: 0.6739, prior_entropy: 2.2629, recall: 0.6739, relative_absolute_error: 0.5495, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.7413,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.981, kappa: 0.9788, kb_relative_information_score: 5246.446, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.981, predictive_accuracy: 0.981, prior_entropy: 3.3218, recall: 0.981, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0743, root_relative_squared_error: 0.2478,

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: 0.9967, f_measure: 0.9508, kappa: 0.9448, kb_relative_information_score: 912.6854, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9511, predictive_accuracy: 0.9509, prior_entropy: 3.1699, recall: 0.9509, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.395,

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: 0.9983, f_measure: 0.96, kappa: 0.9556, kb_relative_information_score: 1680.817, mean_absolute_error: 0.0525, 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: 0.2916, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.3973,

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: 0.8829, f_measure: 0.8089, kappa: 0.6147, kb_relative_information_score: 1593.1945, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8089, predictive_accuracy: 0.8091, prior_entropy: 0.9948, recall: 0.8091, relative_absolute_error: 0.6108, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7507,

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: 0.9962, f_measure: 0.9904, kappa: 0.9163, kb_relative_information_score: 3034.7737, mean_absolute_error: 0.0143, 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: 0.1244, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.352,

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: 0.938, f_measure: 0.8891, kappa: 0.4366, kb_relative_information_score: 354.6453, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8874, predictive_accuracy: 0.9005, prior_entropy: 0.5368, recall: 0.9005, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.769,

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: 0.851, f_measure: 0.8694, kappa: 0.1709, kb_relative_information_score: -170.9188, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8655, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.8956,

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: 0.9891, f_measure: 0.9498, kappa: 0.9184, kb_relative_information_score: 2532.1529, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.95, predictive_accuracy: 0.9498, prior_entropy: 1.48, recall: 0.9498, relative_absolute_error: 0.2673, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.4185,

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: 0.9671, f_measure: 0.9129, kappa: 0.7895, kb_relative_information_score: 3626.4825, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9127, predictive_accuracy: 0.913, prior_entropy: 0.8733, recall: 0.913, relative_absolute_error: 0.3398, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.5552,

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: 0.9941, f_measure: 0.9618, kappa: 0.9379, kb_relative_information_score: 2265.5979, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9619, predictive_accuracy: 0.9618, prior_entropy: 1.4804, recall: 0.9618, relative_absolute_error: 0.3887, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.4689,

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: 0.9388, f_measure: 0.8988, kappa: 0.4898, kb_relative_information_score: 376.0334, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8977, predictive_accuracy: 0.9081, prior_entropy: 0.5368, recall: 0.9081, relative_absolute_error: 0.5871, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.7689,

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: 0.9627, f_measure: 0.7754, kappa: 0.7539, kb_relative_information_score: 1412.0012, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7732, predictive_accuracy: 0.7785, prior_entropy: 3.3219, recall: 0.7785, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.6356,

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: 0.7598, f_measure: 0.7851, kappa: 0.2412, kb_relative_information_score: 853.0162, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7925, predictive_accuracy: 0.8212, prior_entropy: 0.7088, recall: 0.8212, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.363, root_relative_squared_error: 0.9189,

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: 0.9944, kappa: 0.9936, kb_relative_information_score: 955.8447, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 2.9931, recall: 0.9944, relative_absolute_error: 0.227, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.3,

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: 0.9959, f_measure: 0.9296, kappa: 0.9208, kb_relative_information_score: 920.9114, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.93, predictive_accuracy: 0.9296, prior_entropy: 3.1699, recall: 0.9296, relative_absolute_error: 0.2474, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.3936,

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: 0.837, f_measure: 0.8593, kappa: 0.0908, kb_relative_information_score: -230.0083, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8523, predictive_accuracy: 0.8944, prior_entropy: 0.478, recall: 0.8944, relative_absolute_error: 0.8342, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.9169,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.977, kappa: 0.9744, kb_relative_information_score: 1758.9682, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9772, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1002, root_relative_squared_error: 0.3338,

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: 0.9778, kappa: 0.9756, kb_relative_information_score: 820.4346, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9782, predictive_accuracy: 0.9778, prior_entropy: 3.4594, recall: 0.9778, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.4194,

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: 0.8217, f_measure: 0.8268, kappa: 0.4358, kb_relative_information_score: 140.4628, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8269, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.673, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.84,

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: 0.9995, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 698.9325, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.3322, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.398,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7831, kappa: 0.2349, kb_relative_information_score: 738.5965, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7881, predictive_accuracy: 0.8187, prior_entropy: 0.7088, recall: 0.8187, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.921,

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: 0.9616, f_measure: 0.711, kappa: 0.6806, kb_relative_information_score: 1486.1555, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7137, predictive_accuracy: 0.7125, prior_entropy: 3.3219, recall: 0.7125, relative_absolute_error: 0.4023, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.6208,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9711, kappa: 0.9415, kb_relative_information_score: 10078.5685, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9712, predictive_accuracy: 0.9711, prior_entropy: 0.9906, recall: 0.9711, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.2921,

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: 0.9575, kappa: 0.9528, kb_relative_information_score: 1586.8065, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9576, predictive_accuracy: 0.9575, prior_entropy: 3.3219, recall: 0.9575, relative_absolute_error: 0.3681, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.137, root_relative_squared_error: 0.4566,

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: 0.9145, f_measure: 0.825, kappa: 0.6391, kb_relative_information_score: 219.5358, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8305, predictive_accuracy: 0.8278, prior_entropy: 0.9826, recall: 0.8278, relative_absolute_error: 0.6333, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7322,

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: 0.9212, f_measure: 0.8327, kappa: 0.6551, kb_relative_information_score: 245.7517, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8377, predictive_accuracy: 0.8352, prior_entropy: 0.9826, recall: 0.8352, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.7056,

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: 0.8241, f_measure: 0.8425, kappa: 0.3343, kb_relative_information_score: 159.415, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8436, predictive_accuracy: 0.8644, prior_entropy: 0.622, recall: 0.8644, relative_absolute_error: 0.7646, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.8874,

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: 0.9833, kappa: 0.9816, kb_relative_information_score: 5202.3864, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9834, predictive_accuracy: 0.9833, prior_entropy: 3.4594, recall: 0.9833, relative_absolute_error: 0.1131, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0667, root_relative_squared_error: 0.2319,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9879, kappa: 0.9862, kb_relative_information_score: 937.3481, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 2.9931, recall: 0.988, relative_absolute_error: 0.2551, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.3335,

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: 0.9409, f_measure: 0.9305, kappa: 0.5055, kb_relative_information_score: 99.7174, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9316, predictive_accuracy: 0.9389, prior_entropy: 0.4254, recall: 0.9389, relative_absolute_error: 0.6097, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.7508,

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: 0.5419, f_measure: 0.2106, kappa: 0.0492, kb_relative_information_score: 87.9212, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2125, predictive_accuracy: 0.2095, prior_entropy: 2.5803, recall: 0.2095, relative_absolute_error: 0.9771, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3931, root_relative_squared_error: 1.0555,

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: 0.577, f_measure: 0.2008, kappa: 0.047, kb_relative_information_score: 57.953, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2011, predictive_accuracy: 0.2095, prior_entropy: 2.5803, recall: 0.2095, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.997,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.6205, kappa: 0.4981, kb_relative_information_score: 2755.2239, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6151, predictive_accuracy: 0.6324, prior_entropy: 2.3005, recall: 0.6324, relative_absolute_error: 0.6329, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.8172,

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: 0.9947, f_measure: 0.9728, kappa: 0.9448, kb_relative_information_score: 10047.7062, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9728, predictive_accuracy: 0.9728, prior_entropy: 0.9906, recall: 0.9728, relative_absolute_error: 0.1011, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.2863,

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: 0.9271, f_measure: 0.7287, kappa: 0.647, kb_relative_information_score: 548.0678, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7242, predictive_accuracy: 0.7352, prior_entropy: 1.9991, recall: 0.7352, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.6405,

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: 0.7596, f_measure: 0.7842, kappa: 0.2372, kb_relative_information_score: 829.902, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7929, predictive_accuracy: 0.8214, prior_entropy: 0.7088, recall: 0.8214, relative_absolute_error: 0.8338, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9175,

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: 0.9632, f_measure: 0.7721, kappa: 0.7494, kb_relative_information_score: 1456.0344, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7711, predictive_accuracy: 0.7745, prior_entropy: 3.3219, recall: 0.7745, relative_absolute_error: 0.3979, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.6194,

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: 0.999, f_measure: 0.9712, kappa: 0.9375, kb_relative_information_score: 1417.2047, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.972, predictive_accuracy: 0.9711, prior_entropy: 1.2099, recall: 0.9711, relative_absolute_error: 0.2536, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1285, root_relative_squared_error: 0.3801,

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: 0.9934, f_measure: 0.9219, kappa: 0.9115, kb_relative_information_score: 818.0457, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9241, predictive_accuracy: 0.9213, prior_entropy: 3.1699, recall: 0.9213, relative_absolute_error: 0.3978, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.4992,

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: 0.577, f_measure: 0.2008, kappa: 0.047, kb_relative_information_score: 57.953, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2011, predictive_accuracy: 0.2095, prior_entropy: 2.5803, recall: 0.2095, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.997,

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: 1322.328, mean_absolute_error: 0.0212, 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: 0.0429, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.1485,

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: 0.8187, f_measure: 0.8351, kappa: 0.2998, kb_relative_information_score: 181.3289, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8358, predictive_accuracy: 0.8596, prior_entropy: 0.622, recall: 0.8596, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.8901,

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: 0.9896, f_measure: 0.9575, kappa: 0.9107, kb_relative_information_score: 3639.1703, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9577, predictive_accuracy: 0.9576, prior_entropy: 0.9674, recall: 0.9576, relative_absolute_error: 0.2378, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4027,

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: 0.7254, f_measure: 0.5293, kappa: 0.2693, kb_relative_information_score: 266.1146, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5298, predictive_accuracy: 0.5384, prior_entropy: 1.5392, recall: 0.5384, relative_absolute_error: 0.8846, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9277,

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: 0.8535, f_measure: 0.9127, kappa: 0.2253, kb_relative_information_score: -269.3405, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9065, predictive_accuracy: 0.927, prior_entropy: 0.3667, recall: 0.927, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.9148,

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: 0.8415, f_measure: 0.8666, kappa: 0.1406, kb_relative_information_score: -257.2025, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8679, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.9115,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9865, kappa: 0.985, kb_relative_information_score: 5208.2708, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9865, predictive_accuracy: 0.9865, prior_entropy: 3.3218, recall: 0.9865, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.2539,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9577, kappa: 0.9093, kb_relative_information_score: 467.4395, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1981, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.19, root_relative_squared_error: 0.393,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9655, kappa: 0.9617, kb_relative_information_score: 1565.9679, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9658, predictive_accuracy: 0.9655, prior_entropy: 3.3219, recall: 0.9655, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.14, root_relative_squared_error: 0.4666,

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