OpenML

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9435, kappa: 0.9372, kb_relative_information_score: 1299.5698, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.944, predictive_accuracy: 0.9435, prior_entropy: 3.3218, recall: 0.9435, relative_absolute_error: 0.3294, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.131, root_relative_squared_error: 0.4368,

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: 0.9375, f_measure: 0.8953, kappa: 0.476, kb_relative_information_score: 415.998, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8931, predictive_accuracy: 0.904, prior_entropy: 0.5368, recall: 0.904, relative_absolute_error: 0.5729, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.7681,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.981, kappa: 0.9586, kb_relative_information_score: 1621.5945, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9813, predictive_accuracy: 0.9809, prior_entropy: 1.2099, recall: 0.9809, relative_absolute_error: 0.0771, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.249,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 3146.6323, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9986, recall: 0.995, relative_absolute_error: 0.0172, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.061, root_relative_squared_error: 0.1221,

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: 0.9987, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 789.9416, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.2176, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.149, root_relative_squared_error: 0.3131,

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: 0.9919, f_measure: 0.9671, kappa: 0.9274, kb_relative_information_score: 594.691, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9672, predictive_accuracy: 0.9671, prior_entropy: 0.9297, recall: 0.9671, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3651,

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: 0.8135, f_measure: 0.8294, kappa: 0.4449, kb_relative_information_score: 139.1767, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8293, predictive_accuracy: 0.8429, prior_entropy: 0.734, recall: 0.8429, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.8399,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8652, kappa: 0.727, kb_relative_information_score: 395.5771, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8652, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.6569,

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: 0.9151, f_measure: 0.6666, kappa: 0.5742, kb_relative_information_score: 410.3962, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6742, predictive_accuracy: 0.6698, prior_entropy: 2.2629, recall: 0.6698, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.7357,

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: 0.9715, kappa: 0.937, kb_relative_information_score: 595.2058, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9717, predictive_accuracy: 0.9714, prior_entropy: 0.9297, recall: 0.9714, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3481,

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: 0.9867, f_measure: 0.9811, kappa: 0.806, kb_relative_information_score: 2934.6822, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9813, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.2921, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.502,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8624, kappa: 0.7217, kb_relative_information_score: 426.4377, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8626, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.621,

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 balance-scale

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, kappa: 0.7745, kb_relative_information_score: 316.3185, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8784, prior_entropy: 1.3212, recall: 0.8784, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.276, root_relative_squared_error: 0.6337,

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: 0.9471, f_measure: 0.801, kappa: 0.7423, kb_relative_information_score: 1423.3527, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8026, predictive_accuracy: 0.8011, prior_entropy: 2.4138, recall: 0.8011, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.5935,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8092, kappa: 0.753, kb_relative_information_score: 1413.584, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8109, predictive_accuracy: 0.8094, prior_entropy: 2.4138, recall: 0.8094, relative_absolute_error: 0.3784, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.5897,

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: 0.7362, f_measure: 0.5587, kappa: 0.3149, kb_relative_information_score: 351.6863, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5602, predictive_accuracy: 0.5608, prior_entropy: 1.5392, recall: 0.5608, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.9154,

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: 0.9498, f_measure: 0.8047, kappa: 0.7462, kb_relative_information_score: 1412.7093, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.807, predictive_accuracy: 0.8042, prior_entropy: 2.4138, recall: 0.8042, relative_absolute_error: 0.3783, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.5908,

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: 0.7336, f_measure: 0.5539, kappa: 0.3064, kb_relative_information_score: 369.6387, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5552, predictive_accuracy: 0.5567, prior_entropy: 1.5392, recall: 0.5567, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4263, 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 spambase

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9588, kappa: 0.9136, kb_relative_information_score: 3734.858, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9589, predictive_accuracy: 0.9589, prior_entropy: 0.9674, recall: 0.9589, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.3902,

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: 0.9884, f_measure: 0.9595, kappa: 0.9133, kb_relative_information_score: 485.5185, mean_absolute_error: 0.0734, 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: 0.157, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3729,

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: 0.9497, f_measure: 0.8098, kappa: 0.7537, kb_relative_information_score: 1426.4159, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8113, predictive_accuracy: 0.8099, prior_entropy: 2.4138, recall: 0.8099, relative_absolute_error: 0.3681, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.5883,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.552, f_measure: 0.186, kappa: 0.0247, kb_relative_information_score: 56.3045, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1874, predictive_accuracy: 0.192, prior_entropy: 2.5803, recall: 0.192, relative_absolute_error: 0.9883, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3775, root_relative_squared_error: 1.0136,

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: 0.6163, f_measure: 0.5857, kappa: 0.1494, kb_relative_information_score: 33.5986, mean_absolute_error: 0.4582, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5941, predictive_accuracy: 0.606, prior_entropy: 0.9816, recall: 0.606, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9823,

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: 0.9985, f_measure: 0.9899, kappa: 0.9113, kb_relative_information_score: 3008.7105, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9898, predictive_accuracy: 0.9899, prior_entropy: 0.3333, recall: 0.9899, relative_absolute_error: 0.1358, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.3515,

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: 0.9991, f_measure: 0.9665, kappa: 0.9633, kb_relative_information_score: 835.9009, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 3.4594, recall: 0.9667, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.4074,

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: 0.9945, f_measure: 0.9655, kappa: 0.944, kb_relative_information_score: 2269.7118, mean_absolute_error: 0.1594, 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: 0.3888, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.4636,

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: 0.8304, f_measure: 0.7727, kappa: 0.494, kb_relative_information_score: 252.2183, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7718, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8347,

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: 0.9945, f_measure: 0.9655, kappa: 0.944, kb_relative_information_score: 2269.7118, mean_absolute_error: 0.1594, 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: 0.3888, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.4636,

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: 0.9994, f_measure: 0.9747, kappa: 0.9722, kb_relative_information_score: 839.2109, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9749, predictive_accuracy: 0.9747, prior_entropy: 3.4594, recall: 0.9747, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.396,

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: 0.933, f_measure: 0.7766, kappa: 0.755, kb_relative_information_score: 1431.3274, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7743, predictive_accuracy: 0.7795, prior_entropy: 3.3219, recall: 0.7795, relative_absolute_error: 0.4076, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.6535,

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: 0.9191, f_measure: 0.8365, kappa: 0.6628, kb_relative_information_score: 239.0371, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8416, predictive_accuracy: 0.8389, prior_entropy: 0.9826, recall: 0.8389, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7126,

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: 0.5559, f_measure: 0.2007, kappa: 0.0426, kb_relative_information_score: 60.6442, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2015, predictive_accuracy: 0.2058, prior_entropy: 2.5803, recall: 0.2058, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.377, root_relative_squared_error: 1.0123,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.7093, kappa: 0.6783, kb_relative_information_score: 1490.545, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7118, predictive_accuracy: 0.7105, prior_entropy: 3.3219, recall: 0.7105, relative_absolute_error: 0.3927, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.6253,

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: 0.7115, kappa: 0.6817, kb_relative_information_score: 1479.5032, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7127, predictive_accuracy: 0.7135, prior_entropy: 3.3219, recall: 0.7135, relative_absolute_error: 0.3982, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.189, root_relative_squared_error: 0.6301,

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: 0.9436, f_measure: 0.8976, kappa: 0.4852, kb_relative_information_score: 391.5926, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8961, predictive_accuracy: 0.9067, prior_entropy: 0.5368, recall: 0.9067, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.248, root_relative_squared_error: 0.7576,

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: 0.9994, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 765.4009, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.2477, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.3365,

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: 0.972, f_measure: 0.7714, kappa: 0.7489, kb_relative_information_score: 1435.891, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.77, predictive_accuracy: 0.774, prior_entropy: 3.3219, recall: 0.774, relative_absolute_error: 0.4303, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.6088,

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: 0.9973, f_measure: 0.9841, kappa: 0.8576, kb_relative_information_score: 2380.5138, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9842, predictive_accuracy: 0.9846, prior_entropy: 0.3333, recall: 0.9846, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.434,

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: 0.9532, f_measure: 0.7679, kappa: 0.7444, kb_relative_information_score: 1452.1912, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7671, predictive_accuracy: 0.77, prior_entropy: 3.3219, recall: 0.77, relative_absolute_error: 0.3906, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.6344,

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: 0.8503, f_measure: 0.9158, kappa: 0.2419, kb_relative_information_score: -317.6368, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9124, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.9077,

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: 0.9992, f_measure: 0.9811, kappa: 0.9588, kb_relative_information_score: 1601.5744, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9817, predictive_accuracy: 0.9809, prior_entropy: 1.2099, recall: 0.9809, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.2647,

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: 0.9257, f_measure: 0.9267, kappa: 0.4708, kb_relative_information_score: 84.282, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9294, predictive_accuracy: 0.937, prior_entropy: 0.4254, recall: 0.937, relative_absolute_error: 0.6171, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.7704,

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: 0.814, f_measure: 0.822, kappa: 0.4224, kb_relative_information_score: 137.9749, mean_absolute_error: 0.2214, 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: 0.678, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.8424,

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: 0.9975, f_measure: 0.961, kappa: 0.9567, kb_relative_information_score: 1514.9464, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9615, predictive_accuracy: 0.961, prior_entropy: 3.3219, recall: 0.961, relative_absolute_error: 0.4296, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.4978,

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: 0.9152, f_measure: 0.944, kappa: 0.6053, kb_relative_information_score: 91.9055, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9464, predictive_accuracy: 0.95, prior_entropy: 0.4254, recall: 0.95, relative_absolute_error: 0.6032, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.7677,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.991, kappa: 0.9216, kb_relative_information_score: 3094.9657, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 0.3333, recall: 0.991, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.3429,

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: 0.9754, kappa: 0.9463, kb_relative_information_score: 1581.9506, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9761, predictive_accuracy: 0.9751, prior_entropy: 1.2099, recall: 0.9751, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.2885,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.6542, kappa: 0.557, kb_relative_information_score: 403.9329, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6629, predictive_accuracy: 0.6563, prior_entropy: 2.2629, recall: 0.6563, relative_absolute_error: 0.5706, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.744,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9322, kappa: 0.9247, kb_relative_information_score: 1274.9111, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9335, predictive_accuracy: 0.9322, prior_entropy: 3.3218, recall: 0.9322, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.4606,

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: 0.9827, kappa: 0.9808, kb_relative_information_score: 5252.4972, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9828, predictive_accuracy: 0.9827, prior_entropy: 3.3218, recall: 0.9827, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.2428,

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: 0.9235, f_measure: 0.9278, kappa: 0.4842, kb_relative_information_score: 80.3821, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9291, predictive_accuracy: 0.937, prior_entropy: 0.4254, recall: 0.937, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.7781,

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: 0.9614, f_measure: 0.7075, kappa: 0.6767, kb_relative_information_score: 1493.0548, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7096, predictive_accuracy: 0.709, prior_entropy: 3.3219, recall: 0.709, relative_absolute_error: 0.3909, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.188, root_relative_squared_error: 0.6267,

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: 0.9477, f_measure: 0.7984, kappa: 0.7387, kb_relative_information_score: 1380.7039, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8004, predictive_accuracy: 0.7986, prior_entropy: 2.4138, recall: 0.7986, relative_absolute_error: 0.4045, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2, root_relative_squared_error: 0.5999,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.965, kappa: 0.9611, kb_relative_information_score: 1803.4071, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9654, predictive_accuracy: 0.965, prior_entropy: 3.3219, recall: 0.965, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.3129,

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: 0.5817, f_measure: 0.2146, kappa: 0.059, kb_relative_information_score: 50.1097, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2244, predictive_accuracy: 0.2221, prior_entropy: 2.5803, recall: 0.2221, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9935,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.861, kappa: 0.7187, kb_relative_information_score: 423.2532, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8611, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3088, 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 PhishingWebsites

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9711, kappa: 0.9414, kb_relative_information_score: 10016.2972, mean_absolute_error: 0.0507, 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: 0.1028, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.2924,

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: 0.9617, f_measure: 0.7115, kappa: 0.6817, kb_relative_information_score: 1490.8746, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.713, predictive_accuracy: 0.7135, prior_entropy: 3.3219, recall: 0.7135, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.6245,

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: 0.9368, kappa: 0.7537, kb_relative_information_score: 276.1097, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8672, prior_entropy: 1.3212, recall: 0.8672, relative_absolute_error: 0.5589, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.678,

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: 0.9393, f_measure: 0.8958, kappa: 0.4746, kb_relative_information_score: 388.0231, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8942, predictive_accuracy: 0.9053, prior_entropy: 0.5368, recall: 0.9053, relative_absolute_error: 0.5762, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.7629,

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: 0.9986, f_measure: 0.965, kappa: 0.9611, kb_relative_information_score: 1813.6295, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9654, predictive_accuracy: 0.965, prior_entropy: 3.3219, recall: 0.965, relative_absolute_error: 0.1745, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.3045,

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: 0.9976, f_measure: 0.9609, kappa: 0.9563, kb_relative_information_score: 889.1061, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9611, predictive_accuracy: 0.9611, prior_entropy: 3.1699, recall: 0.9611, relative_absolute_error: 0.3144, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1319, root_relative_squared_error: 0.4198,

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: 0.9444, f_measure: 0.854, kappa: 0.7955, kb_relative_information_score: 280.4088, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8212, predictive_accuracy: 0.8896, prior_entropy: 1.3212, recall: 0.8896, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.6662,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 1804.017, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9786, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.1862, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.2997,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 762.1699, mean_absolute_error: 0.1146, 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: 0.2531, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.338,

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: 0.9684, kappa: 0.9485, kb_relative_information_score: 2396.1955, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9684, predictive_accuracy: 0.9683, prior_entropy: 1.4804, recall: 0.9683, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.427,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9162, kappa: 0.8993, kb_relative_information_score: 5557.4726, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9165, predictive_accuracy: 0.9187, prior_entropy: 2.4836, recall: 0.9187, relative_absolute_error: 0.1964, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1463, 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 qsar-biodeg

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.8606, kappa: 0.6846, kb_relative_information_score: 577.4813, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.861, predictive_accuracy: 0.8626, prior_entropy: 0.9226, recall: 0.8626, relative_absolute_error: 0.4765, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.6568,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.7784, kappa: 0.7578, kb_relative_information_score: 1409.831, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7756, predictive_accuracy: 0.782, prior_entropy: 3.3219, recall: 0.782, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.6261,

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: 0.9961, f_measure: 0.9398, kappa: 0.9298, kb_relative_information_score: 2131.2576, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9399, predictive_accuracy: 0.9398, prior_entropy: 2.8074, recall: 0.9398, relative_absolute_error: 0.1183, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.3215,

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: 0.9922, f_measure: 0.9186, kappa: 0.9022, kb_relative_information_score: 5600.2613, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.919, predictive_accuracy: 0.921, prior_entropy: 2.4836, recall: 0.921, relative_absolute_error: 0.1852, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.3912,

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: 0.9418, f_measure: 0.8966, kappa: 0.4841, kb_relative_information_score: 389.7371, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8943, predictive_accuracy: 0.9047, prior_entropy: 0.5368, recall: 0.9047, relative_absolute_error: 0.5831, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.7585,

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: 0.7605, f_measure: 0.7851, kappa: 0.2411, kb_relative_information_score: 805.3752, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.793, predictive_accuracy: 0.8215, prior_entropy: 0.7088, recall: 0.8215, relative_absolute_error: 0.8315, 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 kr-vs-kp

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 3134.8042, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9986, recall: 0.9956, relative_absolute_error: 0.0215, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0654, root_relative_squared_error: 0.131,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9187, kappa: 0.9018, kb_relative_information_score: 5625.6764, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9188, predictive_accuracy: 0.9207, prior_entropy: 2.4836, recall: 0.9207, relative_absolute_error: 0.179, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.388,

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: 0.9982, f_measure: 0.9799, kappa: 0.9562, kb_relative_information_score: 1622.6863, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9803, predictive_accuracy: 0.9797, prior_entropy: 1.2099, recall: 0.9797, relative_absolute_error: 0.0713, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.2639,

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: 0.9982, f_measure: 0.9596, kappa: 0.9127, kb_relative_information_score: 1304.9841, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9615, predictive_accuracy: 0.9595, prior_entropy: 1.2099, recall: 0.9595, relative_absolute_error: 0.338, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.4563,

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: 0.9555, f_measure: 0.769, kappa: 0.7456, kb_relative_information_score: 1440.3211, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.768, predictive_accuracy: 0.771, prior_entropy: 3.3219, recall: 0.771, relative_absolute_error: 0.4083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.6319,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8638, kappa: 0.7244, kb_relative_information_score: 418.9056, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8639, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4237, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6235,

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: 0.9544, f_measure: 0.7737, kappa: 0.7528, kb_relative_information_score: 1416.7549, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7708, predictive_accuracy: 0.7775, prior_entropy: 3.3219, recall: 0.7775, relative_absolute_error: 0.4217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.6428,

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: 0.9685, f_measure: 0.7696, kappa: 0.7461, kb_relative_information_score: 1438.2811, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7686, predictive_accuracy: 0.7715, prior_entropy: 3.3219, recall: 0.7715, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.6207,

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: 0.9606, f_measure: 0.7119, kappa: 0.6817, kb_relative_information_score: 1483.4069, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7142, predictive_accuracy: 0.7135, prior_entropy: 3.3219, recall: 0.7135, relative_absolute_error: 0.3934, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.6315,

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: 0.5671, f_measure: 0.2086, kappa: 0.0505, kb_relative_information_score: 52.2122, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2158, predictive_accuracy: 0.2146, prior_entropy: 2.5803, recall: 0.2146, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3732, root_relative_squared_error: 1.0021,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.9119, kappa: 0.787, kb_relative_information_score: 3515.4285, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9117, predictive_accuracy: 0.9121, prior_entropy: 0.8733, recall: 0.9121, relative_absolute_error: 0.3632, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.567,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.9226, kappa: 0.3096, kb_relative_information_score: -272.456, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9213, predictive_accuracy: 0.936, prior_entropy: 0.3667, recall: 0.936, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.8964,

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: 0.7344, f_measure: 0.5542, kappa: 0.3079, kb_relative_information_score: 354.8052, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5548, predictive_accuracy: 0.5567, prior_entropy: 1.5392, recall: 0.5567, relative_absolute_error: 0.8258, 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 mfeat-zernike

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7626, kappa: 0.7389, kb_relative_information_score: 1398.0166, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7609, predictive_accuracy: 0.765, prior_entropy: 3.3219, recall: 0.765, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.6252,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1302.6718, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.9912, recall: 0.9942, relative_absolute_error: 0.062, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.1564,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9675, kappa: 0.9639, kb_relative_information_score: 1801.2475, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9678, predictive_accuracy: 0.9675, prior_entropy: 3.3219, recall: 0.9675, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.3128,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.962, kappa: 0.9578, kb_relative_information_score: 1796.9751, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9626, predictive_accuracy: 0.962, prior_entropy: 3.3219, recall: 0.962, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0958, 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 satimage

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9192, kappa: 0.9026, kb_relative_information_score: 5617.28, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9193, predictive_accuracy: 0.9213, prior_entropy: 2.4836, recall: 0.9213, relative_absolute_error: 0.1823, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.3886,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9905, kb_relative_information_score: 969.6115, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 2.9931, recall: 0.9917, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.2908,

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: 0.9945, f_measure: 0.9643, kappa: 0.942, kb_relative_information_score: 2529.9293, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9644, predictive_accuracy: 0.9643, prior_entropy: 1.4804, recall: 0.9643, relative_absolute_error: 0.2804, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.3906,

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: 0.9979, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 773.864, mean_absolute_error: 0.1079, 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: 0.2381, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3306,

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: 1311.6438, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0536, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.1483,

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: 0.932, f_measure: 0.8591, kappa: 0.682, kb_relative_information_score: 596.5845, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.859, predictive_accuracy: 0.8607, prior_entropy: 0.9226, recall: 0.8607, relative_absolute_error: 0.4534, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6473,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8577, kappa: 0.7113, kb_relative_information_score: 329.635, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8579, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.5653, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6898,

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: 0.9926, f_measure: 0.9018, kappa: 0.8885, kb_relative_information_score: 941.1333, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9041, predictive_accuracy: 0.9009, prior_entropy: 3.1699, recall: 0.9009, relative_absolute_error: 0.1926, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.399,

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: 0.9619, f_measure: 0.7084, kappa: 0.6778, kb_relative_information_score: 1484.5497, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7108, predictive_accuracy: 0.71, prior_entropy: 3.3219, recall: 0.71, relative_absolute_error: 0.4026, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.6214,

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