OpenML

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.7434, kappa: 0.2466, kb_relative_information_score: 98.9059, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.74, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.9331,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.692, kappa: 0.6019, kb_relative_information_score: 4688.2781, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7083, predictive_accuracy: 0.7019, prior_entropy: 2.1936, recall: 0.7019, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.7556,

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: 0.9101, f_measure: 0.9287, kappa: 0.2844, kb_relative_information_score: -486.9322, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9328, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7372, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8467,

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: 0.9817, kappa: 0.9796, kb_relative_information_score: 5265.8518, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9817, predictive_accuracy: 0.9817, prior_entropy: 3.3218, recall: 0.9817, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.2419,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.6962, kappa: 0.607, kb_relative_information_score: 4735.1083, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7104, predictive_accuracy: 0.7054, prior_entropy: 2.1936, recall: 0.7054, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.7537,

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: 0.9652, f_measure: 0.9106, kappa: 0.784, kb_relative_information_score: 3543.9407, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9104, predictive_accuracy: 0.9108, prior_entropy: 0.8733, recall: 0.9108, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.5646,

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: 0.9313, f_measure: 0.8567, kappa: 0.6759, kb_relative_information_score: 586.857, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.857, predictive_accuracy: 0.8588, prior_entropy: 0.9226, recall: 0.8588, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.6516,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9914, kappa: 0.9904, kb_relative_information_score: 10689.0011, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 3.3208, recall: 0.9914, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.1619,

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: 0.9912, f_measure: 0.963, kappa: 0.9207, kb_relative_information_score: 481.1288, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9631, predictive_accuracy: 0.9631, prior_entropy: 0.953, recall: 0.9631, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.3674,

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: 0.9833, kappa: 0.9814, kb_relative_information_score: 5131.3759, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 3.3218, recall: 0.9833, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.2781,

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: 0.9161, f_measure: 0.9249, kappa: 0.2374, kb_relative_information_score: -496.1178, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9301, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.756, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.8497,

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: 0.7247, f_measure: 0.5307, kappa: 0.2715, kb_relative_information_score: 269.3328, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5314, predictive_accuracy: 0.5397, prior_entropy: 1.5392, recall: 0.5397, relative_absolute_error: 0.8825, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.9272,

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: 0.996, f_measure: 0.9736, kappa: 0.9464, kb_relative_information_score: 10198.0029, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9736, predictive_accuracy: 0.9736, prior_entropy: 0.9906, recall: 0.9736, relative_absolute_error: 0.0836, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.2781,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9551, kappa: 0.9269, kb_relative_information_score: 2272.0009, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9552, predictive_accuracy: 0.9551, prior_entropy: 1.48, recall: 0.9551, relative_absolute_error: 0.3784, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.4732,

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: 0.9474, f_measure: 0.7973, kappa: 0.7374, kb_relative_information_score: 1363.6965, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7994, predictive_accuracy: 0.7975, prior_entropy: 2.4138, recall: 0.7975, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.6051,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.969, kappa: 0.9656, kb_relative_information_score: 1837.2668, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9695, predictive_accuracy: 0.969, prior_entropy: 3.3219, recall: 0.969, relative_absolute_error: 0.1494, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.2892,

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: 0.8811, f_measure: 0.9167, kappa: 0.3929, kb_relative_information_score: 61.4915, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9181, predictive_accuracy: 0.9296, prior_entropy: 0.4254, recall: 0.9296, relative_absolute_error: 0.6479, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.225, root_relative_squared_error: 0.8059,

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: 1307.397, mean_absolute_error: 0.0283, 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: 0.0572, 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 dna

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9551, kappa: 0.9269, kb_relative_information_score: 2272.0009, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9552, predictive_accuracy: 0.9551, prior_entropy: 1.48, recall: 0.9551, relative_absolute_error: 0.3784, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.4732,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8049, kappa: 0.747, kb_relative_information_score: 1393.2758, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8065, predictive_accuracy: 0.8047, prior_entropy: 2.4138, recall: 0.8047, relative_absolute_error: 0.3922, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.5983,

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: 0.9127, f_measure: 0.9499, kappa: 0.7847, kb_relative_information_score: 2805.7776, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.951, predictive_accuracy: 0.9522, prior_entropy: 0.5883, recall: 0.9522, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.5957,

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: 0.9946, f_measure: 0.9728, kappa: 0.9448, kb_relative_information_score: 10277.3211, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9728, predictive_accuracy: 0.9728, prior_entropy: 0.9906, recall: 0.9728, relative_absolute_error: 0.0741, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.2791,

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: 0.9881, f_measure: 0.9586, kappa: 0.9131, kb_relative_information_score: 3713.5686, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9587, predictive_accuracy: 0.9587, prior_entropy: 0.9674, recall: 0.9587, relative_absolute_error: 0.2179, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.3954,

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: 0.2033, kappa: 0.0499, kb_relative_information_score: 60.068, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2025, predictive_accuracy: 0.212, prior_entropy: 2.5803, recall: 0.212, relative_absolute_error: 0.9849, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3734, root_relative_squared_error: 1.0026,

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: 0.9148, f_measure: 0.9501, kappa: 0.7866, kb_relative_information_score: 3140.7857, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9508, predictive_accuracy: 0.9522, prior_entropy: 0.5883, recall: 0.9522, relative_absolute_error: 0.3626, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.572,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9655, kappa: 0.9617, kb_relative_information_score: 1640.2352, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9658, predictive_accuracy: 0.9655, prior_entropy: 3.3219, recall: 0.9655, relative_absolute_error: 0.3296, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.4192,

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: 0.9946, f_measure: 0.9725, kappa: 0.9442, kb_relative_information_score: 10290.941, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9725, predictive_accuracy: 0.9725, prior_entropy: 0.9906, recall: 0.9725, relative_absolute_error: 0.0724, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.2789,

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: 0.7333, kappa: 0.6533, kb_relative_information_score: 558.3892, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.729, predictive_accuracy: 0.74, prior_entropy: 1.9991, recall: 0.74, relative_absolute_error: 0.4243, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.6266,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8252, kappa: 0.6396, kb_relative_information_score: 226.7792, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.83, predictive_accuracy: 0.8278, prior_entropy: 0.9826, recall: 0.8278, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7262,

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: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1324.2006, mean_absolute_error: 0.0199, 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: 0.0402, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.1587,

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: 0.987, f_measure: 0.9579, kappa: 0.91, kb_relative_information_score: 485.4137, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9579, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1573, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.181, root_relative_squared_error: 0.3744,

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: 0.9666, kappa: 0.9284, kb_relative_information_score: 491.154, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9666, predictive_accuracy: 0.9666, prior_entropy: 0.953, recall: 0.9666, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.3502,

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: 0.9124, f_measure: 0.6642, kappa: 0.5702, kb_relative_information_score: 410.335, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6702, predictive_accuracy: 0.6658, prior_entropy: 2.2629, recall: 0.6658, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.7397,

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: 0.6219, f_measure: 0.5612, kappa: 0.1176, kb_relative_information_score: 24.7595, mean_absolute_error: 0.4672, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5893, predictive_accuracy: 0.602, prior_entropy: 0.9816, recall: 0.602, relative_absolute_error: 0.9588, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9782,

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: 0.9178, f_measure: 0.9529, kappa: 0.7989, kb_relative_information_score: 3188.3181, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9536, predictive_accuracy: 0.9548, prior_entropy: 0.5883, recall: 0.9548, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.5622,

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: 0.9091, f_measure: 0.9268, kappa: 0.2613, kb_relative_information_score: -508.3586, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9315, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.8484,

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: 0.9658, kappa: 0.9443, kb_relative_information_score: 2141.5954, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9658, predictive_accuracy: 0.9658, prior_entropy: 1.4804, recall: 0.9658, relative_absolute_error: 0.4371, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.5006,

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: 1317.8785, mean_absolute_error: 0.0233, 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: 0.0471, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.1522,

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: 0.9485, f_measure: 0.8083, kappa: 0.7508, kb_relative_information_score: 1406.4246, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8109, predictive_accuracy: 0.8078, prior_entropy: 2.4138, recall: 0.8078, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.5954,

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: 0.9334, f_measure: 0.8662, kappa: 0.7323, kb_relative_information_score: 1221.0411, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8662, predictive_accuracy: 0.8662, prior_entropy: 1, recall: 0.8662, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6796,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9554, kappa: 0.9274, kb_relative_information_score: 2273.7841, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9555, predictive_accuracy: 0.9554, prior_entropy: 1.48, recall: 0.9554, relative_absolute_error: 0.3776, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.4729,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9551, kappa: 0.9269, kb_relative_information_score: 2272.0009, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9552, predictive_accuracy: 0.9551, prior_entropy: 1.48, recall: 0.9551, relative_absolute_error: 0.3784, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.4732,

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: 0.83, f_measure: 0.7589, kappa: 0.4613, kb_relative_information_score: 256.7525, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7587, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8332,

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: 0.9359, f_measure: 0.7753, kappa: 0.7539, kb_relative_information_score: 1420.122, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.773, predictive_accuracy: 0.7785, prior_entropy: 3.3219, recall: 0.7785, relative_absolute_error: 0.4228, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6452,

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: 0.6023, f_measure: 0.5764, kappa: 0.127, kb_relative_information_score: 37.1408, mean_absolute_error: 0.4528, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5794, predictive_accuracy: 0.592, prior_entropy: 0.9816, recall: 0.592, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9954,

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: 0.9961, f_measure: 0.9915, kappa: 0.9253, kb_relative_information_score: 3065.2975, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9914, predictive_accuracy: 0.9915, prior_entropy: 0.3333, recall: 0.9915, relative_absolute_error: 0.1224, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.3484,

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: 0.928, f_measure: 0.9357, kappa: 0.5468, kb_relative_information_score: 80.3158, mean_absolute_error: 0.0955, 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: 0.608, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.757,

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: 0.857, f_measure: 0.9234, kappa: 0.3209, kb_relative_information_score: -260.7201, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9217, predictive_accuracy: 0.936, prior_entropy: 0.3667, recall: 0.936, relative_absolute_error: 0.7716, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.8959,

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: 0.9168, f_measure: 0.9512, kappa: 0.7906, kb_relative_information_score: 3147.7306, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9523, predictive_accuracy: 0.9534, prior_entropy: 0.5883, recall: 0.9534, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.5643,

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: 0.7334, f_measure: 0.5455, kappa: 0.293, kb_relative_information_score: 372.0991, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5479, predictive_accuracy: 0.5485, prior_entropy: 1.5392, recall: 0.5485, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.9188,

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: 0.9508, f_measure: 0.8128, kappa: 0.7577, kb_relative_information_score: 1421.3579, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8143, predictive_accuracy: 0.813, prior_entropy: 2.4138, recall: 0.813, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.5864,

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: 0.914, f_measure: 0.9538, kappa: 0.8027, kb_relative_information_score: 3160.1931, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9545, predictive_accuracy: 0.9556, prior_entropy: 0.5883, recall: 0.9556, relative_absolute_error: 0.3631, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.5616,

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: 0.8012, kb_relative_information_score: 257.3808, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8928, prior_entropy: 1.3212, recall: 0.8928, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6877,

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: 0.8641, f_measure: 0.9185, kappa: 0.2791, kb_relative_information_score: -247.6041, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9144, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.7765, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.8947,

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: 0.8372, f_measure: 0.8624, kappa: 0.1157, kb_relative_information_score: -267.5465, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8568, predictive_accuracy: 0.8951, prior_entropy: 0.478, recall: 0.8951, relative_absolute_error: 0.8351, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.9179,

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 mfeat-factors

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.967, kappa: 0.9633, kb_relative_information_score: 1836.3747, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9675, predictive_accuracy: 0.967, prior_entropy: 3.3219, recall: 0.967, relative_absolute_error: 0.1514, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.2888,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9573, kappa: 0.9305, kb_relative_information_score: 2444.6691, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9574, predictive_accuracy: 0.9573, prior_entropy: 1.48, recall: 0.9573, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.4256,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set kc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.8396, kappa: 0.3177, kb_relative_information_score: 150.8488, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8427, predictive_accuracy: 0.8639, prior_entropy: 0.622, recall: 0.8639, relative_absolute_error: 0.7739, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.8911,

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: 0.6075, f_measure: 0.5903, kappa: 0.155, kb_relative_information_score: 34.6375, mean_absolute_error: 0.4573, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5932, predictive_accuracy: 0.604, prior_entropy: 0.9816, recall: 0.604, relative_absolute_error: 0.9386, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9884,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.7387, kappa: 0.6597, kb_relative_information_score: 561.7326, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7353, predictive_accuracy: 0.7447, prior_entropy: 1.9991, recall: 0.7447, relative_absolute_error: 0.4142, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.6366,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, f_measure: 0.1935, kappa: 0.0442, kb_relative_information_score: 39.8114, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2081, predictive_accuracy: 0.2133, prior_entropy: 2.5803, recall: 0.2133, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3745, root_relative_squared_error: 1.0056,

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: 0.6284, f_measure: 0.5799, kappa: 0.1476, kb_relative_information_score: 27.8901, mean_absolute_error: 0.4647, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6019, predictive_accuracy: 0.612, prior_entropy: 0.9816, recall: 0.612, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9747,

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: 0.9047, f_measure: 0.8145, kappa: 0.6177, kb_relative_information_score: 238.725, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8173, predictive_accuracy: 0.8167, prior_entropy: 0.9826, recall: 0.8167, relative_absolute_error: 0.5906, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7252,

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: 0.9427, kappa: 0.7923, kb_relative_information_score: 286.6341, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.888, prior_entropy: 1.3212, recall: 0.888, relative_absolute_error: 0.5411, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.6593,

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: 0.6811, kb_relative_information_score: 1488.9323, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7136, predictive_accuracy: 0.713, prior_entropy: 3.3219, recall: 0.713, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.6213,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9811, kappa: 0.9588, kb_relative_information_score: 1603.6446, mean_absolute_error: 0.0212, 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: 0.0925, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.2596,

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: 0.9206, f_measure: 0.8402, kappa: 0.6706, kb_relative_information_score: 230.324, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8454, predictive_accuracy: 0.8426, prior_entropy: 0.9826, recall: 0.8426, relative_absolute_error: 0.6139, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7185,

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: 0.9845, kappa: 0.9828, kb_relative_information_score: 5174.1355, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9846, predictive_accuracy: 0.9845, prior_entropy: 3.3218, recall: 0.9845, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.264,

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: 0.9399, f_measure: 0.898, kappa: 0.4881, kb_relative_information_score: 387.6511, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8963, predictive_accuracy: 0.9067, prior_entropy: 0.5368, recall: 0.9067, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.7573,

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: 0.6105, f_measure: 0.5841, kappa: 0.1457, kb_relative_information_score: 34.1823, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5918, predictive_accuracy: 0.604, prior_entropy: 0.9816, recall: 0.604, relative_absolute_error: 0.9384, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.9897,

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: 0.5557, f_measure: 0.2056, kappa: 0.0477, kb_relative_information_score: 54.6847, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2082, predictive_accuracy: 0.2108, prior_entropy: 2.5803, recall: 0.2108, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3778, root_relative_squared_error: 1.0144,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.8102, kappa: 0.6172, kb_relative_information_score: 1553.0251, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8102, predictive_accuracy: 0.8105, prior_entropy: 0.9948, recall: 0.8105, relative_absolute_error: 0.6234, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.753,

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: 0.9493, f_measure: 0.8073, kappa: 0.7505, kb_relative_information_score: 1427.5456, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8088, predictive_accuracy: 0.8073, prior_entropy: 2.4138, recall: 0.8073, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.5886,

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: 0.935, f_measure: 0.7717, kappa: 0.7494, kb_relative_information_score: 1402.5401, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7694, predictive_accuracy: 0.7745, prior_entropy: 3.3219, recall: 0.7745, relative_absolute_error: 0.4317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.196, root_relative_squared_error: 0.6532,

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: 0.7722, kappa: 0.75, kb_relative_information_score: 1460.3505, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7704, predictive_accuracy: 0.775, prior_entropy: 3.3219, recall: 0.775, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.6118,

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 steel-plates-fault

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.7966, kappa: 0.7366, kb_relative_information_score: 1382.7662, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7986, predictive_accuracy: 0.797, prior_entropy: 2.4138, recall: 0.797, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.6024,

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: 0.5976, f_measure: 0.5706, kappa: 0.116, kb_relative_information_score: 34.1956, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5743, predictive_accuracy: 0.588, prior_entropy: 0.9816, recall: 0.588, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4914, root_relative_squared_error: 0.9957,

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: 0.9932, f_measure: 0.9212, kappa: 0.9049, kb_relative_information_score: 5619.9875, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9214, predictive_accuracy: 0.9232, prior_entropy: 2.4836, recall: 0.9232, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.3852,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.8092, kappa: 0.7531, kb_relative_information_score: 1427.4229, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8106, predictive_accuracy: 0.8094, prior_entropy: 2.4138, recall: 0.8094, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.5903,

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: 0.5866, f_measure: 0.5756, kappa: 0.1258, kb_relative_information_score: 28.8159, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5791, predictive_accuracy: 0.592, prior_entropy: 0.9816, recall: 0.592, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0166,

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: 0.7521, f_measure: 0.6955, kappa: 0.2196, kb_relative_information_score: 69.6763, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6962, predictive_accuracy: 0.7256, prior_entropy: 0.865, recall: 0.7256, relative_absolute_error: 0.8456, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.9219,

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: 0.9136, f_measure: 0.684, kappa: 0.5963, kb_relative_information_score: 416.5221, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6885, predictive_accuracy: 0.6861, prior_entropy: 2.2629, recall: 0.6861, relative_absolute_error: 0.5497, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.7376,

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: 0.9652, kappa: 0.9433, kb_relative_information_score: 2149.1855, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 1.4804, recall: 0.9652, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.4989,

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: 0.7377, f_measure: 0.548, kappa: 0.2981, kb_relative_information_score: 345.0622, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5498, predictive_accuracy: 0.5513, prior_entropy: 1.5392, recall: 0.5513, relative_absolute_error: 0.8334, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.9138,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.7012, kappa: 0.67, kb_relative_information_score: 1478.4599, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7018, predictive_accuracy: 0.703, prior_entropy: 3.3219, recall: 0.703, relative_absolute_error: 0.3889, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.6474,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set kc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.8308, kappa: 0.2773, kb_relative_information_score: 131.3911, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8329, predictive_accuracy: 0.8582, prior_entropy: 0.622, recall: 0.8582, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.8953,

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: 0.9493, kappa: 0.8042, kb_relative_information_score: 275.9257, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8944, prior_entropy: 1.3212, recall: 0.8944, relative_absolute_error: 0.5642, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.6694,

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: 0.9595, kappa: 0.955, kb_relative_information_score: 1506.2299, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9598, predictive_accuracy: 0.9595, prior_entropy: 3.3219, recall: 0.9595, relative_absolute_error: 0.4333, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.5037,

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: 0.9629, kappa: 0.9195, kb_relative_information_score: 1370.6397, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9646, predictive_accuracy: 0.9624, prior_entropy: 1.2099, recall: 0.9624, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.4184,

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: 0.7372, f_measure: 0.5508, kappa: 0.302, kb_relative_information_score: 348.8765, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5527, predictive_accuracy: 0.5533, prior_entropy: 1.5392, recall: 0.5533, relative_absolute_error: 0.8301, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.9139,

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: 0.8719, f_measure: 0.6159, kappa: 0.4918, kb_relative_information_score: 2669.3383, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6112, predictive_accuracy: 0.6293, prior_entropy: 2.3005, recall: 0.6293, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.817,

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: 0.9072, f_measure: 0.6495, kappa: 0.5542, kb_relative_information_score: 367.6161, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.664, predictive_accuracy: 0.6563, prior_entropy: 2.2629, recall: 0.6563, relative_absolute_error: 0.6272, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.7597,

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: 0.9758, kappa: 0.9733, kb_relative_information_score: 878.2233, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9759, predictive_accuracy: 0.9758, prior_entropy: 3.4594, recall: 0.9758, relative_absolute_error: 0.2334, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0984, 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 dna

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.954, kappa: 0.9252, kb_relative_information_score: 2732.2816, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9544, predictive_accuracy: 0.9539, prior_entropy: 1.48, recall: 0.9539, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3597,

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: 0.9963, f_measure: 0.9732, kappa: 0.9457, kb_relative_information_score: 10095.3757, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9733, predictive_accuracy: 0.9732, prior_entropy: 0.9906, recall: 0.9732, relative_absolute_error: 0.0954, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.283,

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: 0.7266, f_measure: 0.7444, kappa: 0.2493, kb_relative_information_score: 89.2227, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7416, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.9374,

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: 0.9343, f_measure: 0.8709, kappa: 0.7383, kb_relative_information_score: 364.5899, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8709, predictive_accuracy: 0.871, prior_entropy: 0.9913, recall: 0.871, relative_absolute_error: 0.5134, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.6517,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7302, kappa: 0.3302, kb_relative_information_score: 182.6929, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7442, predictive_accuracy: 0.757, prior_entropy: 0.8818, recall: 0.757, relative_absolute_error: 0.8147, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8826,

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