OpenML

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9887, kb_relative_information_score: 10672.8498, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 3.3208, recall: 0.9898, relative_absolute_error: 0.0589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0502, root_relative_squared_error: 0.1675,

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: 0.9782, kappa: 0.9525, kb_relative_information_score: 1592.0574, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9788, predictive_accuracy: 0.978, prior_entropy: 1.2099, recall: 0.978, relative_absolute_error: 0.1011, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.2757,

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: 0.9997, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 688.0603, mean_absolute_error: 0.1569, 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: 0.3464, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4067,

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: 0.9588, f_measure: 0.7735, kappa: 0.7522, kb_relative_information_score: 1414.1464, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7709, predictive_accuracy: 0.777, prior_entropy: 3.3219, recall: 0.777, relative_absolute_error: 0.4227, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.6419,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8597, kappa: 0.6826, kb_relative_information_score: 588.2884, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.86, predictive_accuracy: 0.8616, prior_entropy: 0.9226, recall: 0.8616, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6507,

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: 0.94, f_measure: 0.8956, kappa: 0.4832, kb_relative_information_score: 439.9545, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8928, predictive_accuracy: 0.9026, prior_entropy: 0.5368, recall: 0.9026, relative_absolute_error: 0.5597, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.249, root_relative_squared_error: 0.7605,

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: 0.9293, f_measure: 0.7454, kappa: 0.6675, kb_relative_information_score: 556.5528, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7416, predictive_accuracy: 0.7506, prior_entropy: 1.9991, recall: 0.7506, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.273, root_relative_squared_error: 0.6306,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7483, kappa: 0.3783, kb_relative_information_score: 198.4346, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7522, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8829,

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: 0.8351, f_measure: 0.8641, kappa: 0.1264, kb_relative_information_score: -234.9125, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8606, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.8287, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.9176,

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: 0.9843, kappa: 0.9826, kb_relative_information_score: 5153.8568, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9844, predictive_accuracy: 0.9843, prior_entropy: 3.3218, recall: 0.9843, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.272,

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: 0.9986, f_measure: 0.9624, kappa: 0.9181, kb_relative_information_score: 1412.275, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9637, predictive_accuracy: 0.9618, prior_entropy: 1.2099, recall: 0.9618, relative_absolute_error: 0.2533, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1323, 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 breast-w

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9729, kappa: 0.9402, kb_relative_information_score: 592.3059, mean_absolute_error: 0.0782, 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: 0.173, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.3553,

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: 0.8816, f_measure: 0.807, kappa: 0.6109, kb_relative_information_score: 1666.9124, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.807, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7471,

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: 0.9949, f_measure: 0.9684, kappa: 0.9485, kb_relative_information_score: 2338.4116, mean_absolute_error: 0.1478, 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: 0.3605, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4423,

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: 0.9408, f_measure: 0.8991, kappa: 0.5, kb_relative_information_score: 431.6138, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8967, predictive_accuracy: 0.906, prior_entropy: 0.5368, recall: 0.906, relative_absolute_error: 0.5636, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.7538,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.849, kappa: 0.8328, kb_relative_information_score: 1616.5407, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8491, predictive_accuracy: 0.8495, prior_entropy: 3.3219, recall: 0.8495, relative_absolute_error: 0.3187, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.5039,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.802, kappa: 0.743, kb_relative_information_score: 1410.5503, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.804, predictive_accuracy: 0.8016, prior_entropy: 2.4138, recall: 0.8016, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.197, 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 wdbc

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9648, kappa: 0.9245, kb_relative_information_score: 486.6081, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9648, predictive_accuracy: 0.9649, prior_entropy: 0.953, recall: 0.9649, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.3602,

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: 0.9212, f_measure: 0.8651, kappa: 0.7269, kb_relative_information_score: 374.3286, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8651, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4924, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6676,

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: 0.9635, f_measure: 0.9102, kappa: 0.7829, kb_relative_information_score: 3504.2407, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.91, predictive_accuracy: 0.9104, prior_entropy: 0.8733, recall: 0.9104, relative_absolute_error: 0.3661, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.259, root_relative_squared_error: 0.5688,

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: 0.9372, kb_relative_information_score: 597.8129, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9719, predictive_accuracy: 0.9714, prior_entropy: 0.9297, recall: 0.9714, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3456,

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: 0.9479, kappa: 0.8042, kb_relative_information_score: 270.8177, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8944, prior_entropy: 1.3212, recall: 0.8944, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6739,

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: 0.8735, f_measure: 0.6219, kappa: 0.5003, kb_relative_information_score: 2617.4066, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6173, predictive_accuracy: 0.6362, prior_entropy: 2.3005, recall: 0.6362, relative_absolute_error: 0.6688, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.8148,

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: 0.9938, f_measure: 0.9729, kappa: 0.9402, kb_relative_information_score: 607.7385, mean_absolute_error: 0.0659, 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: 0.1459, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3346,

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: 0.9666, f_measure: 0.9148, kappa: 0.7939, kb_relative_information_score: 3691.7473, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9146, predictive_accuracy: 0.9151, prior_entropy: 0.8733, recall: 0.9151, relative_absolute_error: 0.3262, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.5515,

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: 0.9183, f_measure: 0.9237, kappa: 0.2215, kb_relative_information_score: -474.2545, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9295, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7448, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.8407,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8677, kappa: 0.7354, kb_relative_information_score: 1292.6471, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8678, predictive_accuracy: 0.8677, prior_entropy: 1, recall: 0.8677, relative_absolute_error: 0.5502, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6657,

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: 0.9925, f_measure: 0.9715, kappa: 0.937, kb_relative_information_score: 599.658, mean_absolute_error: 0.0723, 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: 0.1599, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.3459,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1329.3424, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0367, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0691, root_relative_squared_error: 0.1392,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8404, kappa: 0.8239, kb_relative_information_score: 1526.062, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8405, predictive_accuracy: 0.8415, prior_entropy: 3.3219, recall: 0.8415, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.5392,

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: 0.6199, f_measure: 0.5865, kappa: 0.152, kb_relative_information_score: 34.3549, mean_absolute_error: 0.4583, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5963, predictive_accuracy: 0.608, prior_entropy: 0.9816, recall: 0.608, relative_absolute_error: 0.9406, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.986,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8669, kappa: 0.7338, kb_relative_information_score: 1258.3661, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.867, predictive_accuracy: 0.8669, prior_entropy: 1, recall: 0.8669, relative_absolute_error: 0.5632, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.6753,

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: 0.915, f_measure: 0.9513, kappa: 0.7917, kb_relative_information_score: 3194.1125, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9522, predictive_accuracy: 0.9534, prior_entropy: 0.5883, recall: 0.9534, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.5649,

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: 0.9931, kappa: 0.9862, kb_relative_information_score: 2985.1753, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.9986, recall: 0.9931, relative_absolute_error: 0.0809, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.1856,

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: 0.9984, f_measure: 0.9655, kappa: 0.9617, kb_relative_information_score: 1656.1046, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9657, predictive_accuracy: 0.9655, prior_entropy: 3.3219, recall: 0.9655, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.4092,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8646, kappa: 0.7292, kb_relative_information_score: 1246.3563, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8647, predictive_accuracy: 0.8646, prior_entropy: 1, recall: 0.8646, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.6764,

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: 0.9966, f_measure: 0.9422, kappa: 0.9358, kb_relative_information_score: 1209.2698, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9427, predictive_accuracy: 0.9422, prior_entropy: 3.3218, recall: 0.9422, relative_absolute_error: 0.4163, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.5063,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.7474, kappa: 0.375, kb_relative_information_score: 198.3952, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7536, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.7937, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8831,

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: 0.9933, f_measure: 0.932, kappa: 0.924, kb_relative_information_score: 681.0409, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9323, predictive_accuracy: 0.9324, prior_entropy: 3.1699, recall: 0.9324, relative_absolute_error: 0.5789, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.6262,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5509, f_measure: 0.1896, kappa: 0.0277, kb_relative_information_score: 58.8073, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.192, predictive_accuracy: 0.1945, prior_entropy: 2.5803, recall: 0.1945, relative_absolute_error: 0.9873, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3777, root_relative_squared_error: 1.0142,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1326.5221, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0377, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.1597,

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: 0.988, f_measure: 0.9532, kappa: 0.9018, kb_relative_information_score: 3731.7126, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9532, predictive_accuracy: 0.9533, prior_entropy: 0.9674, recall: 0.9533, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.3965,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.7356, kappa: 0.6563, kb_relative_information_score: 558.3383, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.732, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.4245, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.6279,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.975, kappa: 0.9722, kb_relative_information_score: 1835.6138, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.2797,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.976, kappa: 0.9733, kb_relative_information_score: 1782.1776, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9763, predictive_accuracy: 0.976, prior_entropy: 3.3219, recall: 0.976, relative_absolute_error: 0.2073, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.3156,

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: 0.7228, f_measure: 0.7413, kappa: 0.2414, kb_relative_information_score: 90.4089, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.8402, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4, root_relative_squared_error: 0.9394,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1324.1014, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0405, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.1581,

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: 0.7586, f_measure: 0.7834, kappa: 0.2334, kb_relative_information_score: 855.2375, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7936, predictive_accuracy: 0.8217, prior_entropy: 0.7088, recall: 0.8217, relative_absolute_error: 0.8319, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9185,

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: 0.9431, f_measure: 0.9015, kappa: 0.5123, kb_relative_information_score: 433.5885, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8992, predictive_accuracy: 0.9081, prior_entropy: 0.5368, recall: 0.9081, relative_absolute_error: 0.5531, 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 cylinder-bands

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8313, kappa: 0.6522, kb_relative_information_score: 251.801, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8347, predictive_accuracy: 0.8333, prior_entropy: 0.9826, recall: 0.8333, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.7014,

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: 0.9346, f_measure: 0.868, kappa: 0.7327, kb_relative_information_score: 368.4449, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6496,

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: 0.9244, f_measure: 0.8477, kappa: 0.6916, kb_relative_information_score: 393.1367, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8477, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.326, root_relative_squared_error: 0.656,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, f_measure: 0.6446, kappa: 0.0869, kb_relative_information_score: 55.2571, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6389, predictive_accuracy: 0.693, prior_entropy: 0.865, recall: 0.693, relative_absolute_error: 0.865, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.9367,

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: 0.9865, f_measure: 0.9507, kappa: 0.8966, kb_relative_information_score: 3674.7937, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9509, predictive_accuracy: 0.9509, prior_entropy: 0.9674, recall: 0.9509, relative_absolute_error: 0.2243, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4135,

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: 0.9963, f_measure: 0.9373, kappa: 0.9302, kb_relative_information_score: 1315.8733, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9378, predictive_accuracy: 0.9372, prior_entropy: 3.3218, recall: 0.9372, relative_absolute_error: 0.3004, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.4319,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, f_measure: 0.6367, kappa: 0.0699, kb_relative_information_score: 60.7629, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6398, predictive_accuracy: 0.7015, prior_entropy: 0.865, recall: 0.7015, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.9221,

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: 0.991, f_measure: 0.9613, kappa: 0.9171, kb_relative_information_score: 487.2321, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1544, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3668,

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: 0.9329, f_measure: 0.8596, kappa: 0.716, kb_relative_information_score: 416.8553, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8599, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6255,

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: 0.9301, f_measure: 0.8712, kappa: 0.7396, kb_relative_information_score: 384.3019, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8716, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.6437,

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: 0.924, f_measure: 0.8536, kappa: 0.7036, kb_relative_information_score: 393.0827, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8536, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.463, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.324, root_relative_squared_error: 0.652,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9969, kappa: 0.9953, kb_relative_information_score: 5390.2009, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 1.7151, recall: 0.9969, relative_absolute_error: 0.0168, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0386, root_relative_squared_error: 0.0949,

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: 0.9198, kappa: 0.9033, kb_relative_information_score: 5591.6094, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.92, predictive_accuracy: 0.9219, prior_entropy: 2.4836, recall: 0.9219, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.3929,

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: 0.924, f_measure: 0.8622, kappa: 0.7208, kb_relative_information_score: 373.3899, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8622, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4958, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.6607,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9673, kappa: 0.966, kb_relative_information_score: 18367.7659, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9675, predictive_accuracy: 0.9673, prior_entropy: 4.6998, recall: 0.9673, relative_absolute_error: 0.1896, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.3284,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9666, kappa: 0.9653, kb_relative_information_score: 18380.0337, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9668, predictive_accuracy: 0.9666, prior_entropy: 4.6998, recall: 0.9666, relative_absolute_error: 0.1873, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.3279,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9913, kb_relative_information_score: 682.518, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.2831, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.3486,

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: 0.979, kappa: 0.9768, kb_relative_information_score: 5216.0906, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.979, predictive_accuracy: 0.9789, prior_entropy: 3.4594, recall: 0.9789, relative_absolute_error: 0.1066, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0664, root_relative_squared_error: 0.2311,

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: 0.9914, f_measure: 0.96, kappa: 0.9115, kb_relative_information_score: 600.948, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.178, root_relative_squared_error: 0.3746,

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: 0.9635, kappa: 0.9594, kb_relative_information_score: 1635.9519, mean_absolute_error: 0.06, 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: 0.3331, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.4216,

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: 0.9276, f_measure: 0.7247, kappa: 0.6423, kb_relative_information_score: 552.2355, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7197, predictive_accuracy: 0.7317, prior_entropy: 1.9991, recall: 0.7317, relative_absolute_error: 0.4298, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.6383,

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: 0.996, f_measure: 0.9318, kappa: 0.924, kb_relative_information_score: 1225.8544, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9331, predictive_accuracy: 0.9316, prior_entropy: 3.3218, recall: 0.9316, relative_absolute_error: 0.3984, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.4949,

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: 0.8111, kappa: 0.7552, kb_relative_information_score: 1417.4195, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8126, predictive_accuracy: 0.8109, prior_entropy: 2.4138, recall: 0.8109, relative_absolute_error: 0.3745, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.5907,

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: 0.9453, f_measure: 0.901, kappa: 0.5032, kb_relative_information_score: 417.2732, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8997, predictive_accuracy: 0.9095, prior_entropy: 0.5368, recall: 0.9095, relative_absolute_error: 0.5677, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.7486,

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: 0.8314, f_measure: 0.7622, kappa: 0.4691, kb_relative_information_score: 251.1753, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7617, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6833, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8318,

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: 0.9172, f_measure: 0.9357, kappa: 0.5468, kb_relative_information_score: 103.6198, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9365, predictive_accuracy: 0.9426, prior_entropy: 0.4254, recall: 0.9426, relative_absolute_error: 0.5795, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.7545,

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: 685.8846, mean_absolute_error: 0.0958, 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: 0.2787, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.3423,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 706.2824, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.2408, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1328, root_relative_squared_error: 0.3204,

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: 0.9137, f_measure: 0.952, kappa: 0.7945, kb_relative_information_score: 3154.3756, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9528, predictive_accuracy: 0.954, prior_entropy: 0.5883, recall: 0.954, relative_absolute_error: 0.3677, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.564,

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: 0.9488, f_measure: 0.8432, kappa: 0.7723, kb_relative_information_score: 315.1061, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8122, predictive_accuracy: 0.8768, prior_entropy: 1.3212, recall: 0.8768, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.6363,

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: 0.7366, f_measure: 0.5585, kappa: 0.3141, kb_relative_information_score: 356.1781, mean_absolute_error: 0.3559, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5603, predictive_accuracy: 0.5608, prior_entropy: 1.5392, recall: 0.5608, relative_absolute_error: 0.8261, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.9144,

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: 0.977, kappa: 0.9744, kb_relative_information_score: 1812.1977, mean_absolute_error: 0.0322, 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: 0.1791, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0876, 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 banknote-authentication

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1306.9071, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0577, 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 cnae-9

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.94, kappa: 0.9323, kb_relative_information_score: 940.5258, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9405, predictive_accuracy: 0.9398, prior_entropy: 3.1699, recall: 0.9398, relative_absolute_error: 0.218, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.3702,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.6569, kappa: 0.1227, kb_relative_information_score: 60.4933, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6805, predictive_accuracy: 0.7204, prior_entropy: 0.865, recall: 0.7204, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.9228,

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: 0.9984, f_measure: 0.963, kappa: 0.9589, kb_relative_information_score: 1648.4143, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9631, predictive_accuracy: 0.963, prior_entropy: 3.3219, recall: 0.963, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.4148,

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: 0.9281, f_measure: 0.866, kappa: 0.6978, kb_relative_information_score: 590.7506, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8659, predictive_accuracy: 0.8673, prior_entropy: 0.9226, recall: 0.8673, relative_absolute_error: 0.4603, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6525,

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: 0.9923, f_measure: 0.9571, kappa: 0.905, kb_relative_information_score: 604.1955, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9571, predictive_accuracy: 0.9571, prior_entropy: 0.9297, recall: 0.9571, relative_absolute_error: 0.144, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.3672,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.6702, kappa: 0.1536, kb_relative_information_score: 64.6, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6675, predictive_accuracy: 0.7067, prior_entropy: 0.865, recall: 0.7067, relative_absolute_error: 0.8504, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.928,

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: 0.9011, f_measure: 0.8141, kappa: 0.6168, kb_relative_information_score: 232.0889, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.818, predictive_accuracy: 0.8167, prior_entropy: 0.9826, recall: 0.8167, relative_absolute_error: 0.605, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7331,

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: 0.7591, f_measure: 0.7854, kappa: 0.2416, kb_relative_information_score: 786.101, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7941, predictive_accuracy: 0.822, prior_entropy: 0.7088, recall: 0.822, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9201,

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: 0.9956, f_measure: 0.9385, kappa: 0.9283, kb_relative_information_score: 2131.2847, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9386, predictive_accuracy: 0.9385, prior_entropy: 2.8074, recall: 0.9385, relative_absolute_error: 0.1164, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.3248,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.8496, kappa: 0.8333, kb_relative_information_score: 1607.2, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 3.3219, recall: 0.85, relative_absolute_error: 0.3283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.5069,

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: 0.979, kappa: 0.9768, kb_relative_information_score: 5198.599, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9791, predictive_accuracy: 0.9789, prior_entropy: 3.4594, recall: 0.9789, relative_absolute_error: 0.1134, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.068, root_relative_squared_error: 0.2364,

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: 0.8732, f_measure: 0.6178, kappa: 0.4943, kb_relative_information_score: 2669.404, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.613, predictive_accuracy: 0.6309, prior_entropy: 2.3005, recall: 0.6309, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2883, root_relative_squared_error: 0.8143,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, f_measure: 0.6628, kappa: 0.1352, kb_relative_information_score: 61.2384, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6777, predictive_accuracy: 0.7187, prior_entropy: 0.865, recall: 0.7187, relative_absolute_error: 0.8597, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.419, root_relative_squared_error: 0.9268,

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: 1308.4609, mean_absolute_error: 0.0279, 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: 0.0565, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.1514,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.7468, kappa: 0.373, kb_relative_information_score: 184.6962, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7552, predictive_accuracy: 0.767, prior_entropy: 0.8818, recall: 0.767, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8875,

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: 0.9954, kappa: 0.9947, kb_relative_information_score: 956.3373, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 2.9931, recall: 0.9954, relative_absolute_error: 0.2279, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.2951,

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: 0.9895, f_measure: 0.9844, kappa: 0.8434, kb_relative_information_score: 3213.0019, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9842, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.472,

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: 0.8341, f_measure: 0.8614, kappa: 0.1034, kb_relative_information_score: -270.324, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8584, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.9174,

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