OpenML

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: 0.9518, kappa: 0.9216, kb_relative_information_score: 2719.6861, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9522, predictive_accuracy: 0.9517, prior_entropy: 1.48, recall: 0.9517, relative_absolute_error: 0.1899, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3617,

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: 0.9104, f_measure: 0.6739, kappa: 0.5823, kb_relative_information_score: 416.2927, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6801, predictive_accuracy: 0.6753, prior_entropy: 2.2629, recall: 0.6753, relative_absolute_error: 0.5465, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.7425,

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: 0.9944, f_measure: 0.9652, kappa: 0.9435, kb_relative_information_score: 2241.603, mean_absolute_error: 0.1632, 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: 0.3979, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4746,

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: 0.9003, f_measure: 0.8104, kappa: 0.609, kb_relative_information_score: 230.4168, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8142, predictive_accuracy: 0.813, prior_entropy: 0.9826, recall: 0.813, relative_absolute_error: 0.6086, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.7336,

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: 0.824, f_measure: 0.8385, kappa: 0.315, kb_relative_information_score: 151.9228, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8397, predictive_accuracy: 0.862, prior_entropy: 0.622, recall: 0.862, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.8891,

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: 0.9843, f_measure: 0.8396, kappa: 0.8228, kb_relative_information_score: 1528.5527, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.84, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.3941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.5384,

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: 0.9775, kappa: 0.975, kb_relative_information_score: 1816.5659, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9777, predictive_accuracy: 0.9775, prior_entropy: 3.3219, recall: 0.9775, relative_absolute_error: 0.1759, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.2886,

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: 0.9927, f_measure: 0.9743, kappa: 0.9434, kb_relative_information_score: 596.0779, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9747, predictive_accuracy: 0.9742, prior_entropy: 0.9297, recall: 0.9742, relative_absolute_error: 0.1668, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3483,

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: 0.9372, kappa: 0.7418, kb_relative_information_score: 271.1471, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8608, prior_entropy: 1.3212, recall: 0.8608, relative_absolute_error: 0.5717, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.6837,

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: 0.8814, f_measure: 0.8072, kappa: 0.6112, kb_relative_information_score: 1539.8087, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8073, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7555,

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: 0.9061, f_measure: 0.6632, kappa: 0.5734, kb_relative_information_score: 372.3736, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.677, predictive_accuracy: 0.6712, prior_entropy: 2.2629, recall: 0.6712, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.7576,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pc3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.8637, kappa: 0.1248, kb_relative_information_score: -204.0366, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8591, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.8218, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.9079,

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: 0.9486, kappa: 0.8071, kb_relative_information_score: 270.275, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.896, prior_entropy: 1.3212, recall: 0.896, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.6742,

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: 0.9915, kappa: 0.9906, kb_relative_information_score: 10658.4478, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9916, predictive_accuracy: 0.9915, prior_entropy: 3.3208, recall: 0.9915, relative_absolute_error: 0.0628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0501, root_relative_squared_error: 0.1669,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pc4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8976, kappa: 0.4852, kb_relative_information_score: 375.7068, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8961, predictive_accuracy: 0.9067, prior_entropy: 0.5368, recall: 0.9067, relative_absolute_error: 0.5848, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.7633,

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: 0.9995, f_measure: 0.9597, kappa: 0.958, kb_relative_information_score: 18636.738, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9598, predictive_accuracy: 0.9597, prior_entropy: 4.6998, recall: 0.9597, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.3083,

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: 0.9957, f_measure: 0.9384, kappa: 0.9283, kb_relative_information_score: 2131.572, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9384, predictive_accuracy: 0.9385, prior_entropy: 2.8074, recall: 0.9385, relative_absolute_error: 0.116, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.3254,

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: 0.9674, f_measure: 0.7776, kappa: 0.7561, kb_relative_information_score: 1368.5181, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7753, predictive_accuracy: 0.7805, prior_entropy: 3.3219, recall: 0.7805, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.6432,

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: 0.93, f_measure: 0.8608, kappa: 0.6855, kb_relative_information_score: 595.1362, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8609, predictive_accuracy: 0.8626, prior_entropy: 0.9226, recall: 0.8626, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6509,

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: 0.9411, f_measure: 0.8933, kappa: 0.4616, kb_relative_information_score: 376.5785, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8915, predictive_accuracy: 0.9033, prior_entropy: 0.5368, recall: 0.9033, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.76,

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: 0.9997, f_measure: 0.988, kappa: 0.9862, kb_relative_information_score: 918.7392, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9882, predictive_accuracy: 0.988, prior_entropy: 2.9931, recall: 0.988, relative_absolute_error: 0.2837, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.3637,

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: 0.9996, f_measure: 0.9944, kappa: 0.9887, kb_relative_information_score: 3088.6152, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.9986, recall: 0.9944, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.1516,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.981, kappa: 0.9789, kb_relative_information_score: 1816.1975, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9812, predictive_accuracy: 0.981, prior_entropy: 3.3219, recall: 0.981, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.2887,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.9506, kappa: 0.789, kb_relative_information_score: 3067.8939, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9512, predictive_accuracy: 0.9526, prior_entropy: 0.5883, recall: 0.9526, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.5814,

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: 0.96, kappa: 0.9556, kb_relative_information_score: 1727.0057, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9602, predictive_accuracy: 0.96, prior_entropy: 3.3219, recall: 0.96, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.372,

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: 0.839, f_measure: 0.8633, kappa: 0.1232, kb_relative_information_score: -233.8221, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8577, predictive_accuracy: 0.8951, prior_entropy: 0.478, recall: 0.8951, relative_absolute_error: 0.8282, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.913,

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: 0.7608, f_measure: 0.7827, kappa: 0.2303, kb_relative_information_score: 855.7512, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7939, predictive_accuracy: 0.8218, prior_entropy: 0.7088, recall: 0.8218, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3625, 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 wilt

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.984, kappa: 0.8409, kb_relative_information_score: 3140.7788, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9839, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1055, root_relative_squared_error: 0.4669,

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: 0.9926, f_measure: 0.9729, kappa: 0.9402, kb_relative_information_score: 598.5963, mean_absolute_error: 0.0733, 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: 0.1621, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.3469,

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: 0.9088, f_measure: 0.6864, kappa: 0.5946, kb_relative_information_score: 4688.2374, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7005, predictive_accuracy: 0.6961, prior_entropy: 2.1936, recall: 0.6961, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.7582,

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: 0.5536, f_measure: 0.207, kappa: 0.0467, kb_relative_information_score: 83.7938, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2073, predictive_accuracy: 0.207, prior_entropy: 2.5803, recall: 0.207, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.383, root_relative_squared_error: 1.0284,

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: 0.9232, f_measure: 0.8651, kappa: 0.7267, kb_relative_information_score: 374.0854, mean_absolute_error: 0.2436, 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: 0.4932, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6647,

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: 1304.6143, mean_absolute_error: 0.0296, 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: 0.06, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.1599,

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: 0.733, f_measure: 0.6549, kappa: 0.1159, kb_relative_information_score: 64.1561, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6461, predictive_accuracy: 0.6878, prior_entropy: 0.865, recall: 0.6878, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.9325,

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: 0.9958, kappa: 0.9936, kb_relative_information_score: 5255.6974, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7151, recall: 0.9958, relative_absolute_error: 0.0574, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0572, root_relative_squared_error: 0.1405,

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: 0.998, f_measure: 0.964, kappa: 0.96, kb_relative_information_score: 1602.0161, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9642, predictive_accuracy: 0.964, prior_entropy: 3.3219, recall: 0.964, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.4449,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.8692, kappa: 0.7385, kb_relative_information_score: 1207.8812, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8694, predictive_accuracy: 0.8692, prior_entropy: 1, recall: 0.8692, relative_absolute_error: 0.5856, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.6829,

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: 0.9981, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 735.1875, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.2856, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.371,

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: 0.9158, f_measure: 0.6982, kappa: 0.6097, kb_relative_information_score: 4703.7977, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7158, predictive_accuracy: 0.7078, prior_entropy: 2.1936, recall: 0.7078, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.7524,

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: 0.8393, f_measure: 0.8637, kappa: 0.1248, kb_relative_information_score: -262.4192, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8591, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.9149,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set kc2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.832, kappa: 0.4579, kb_relative_information_score: 132.364, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8303, predictive_accuracy: 0.8429, prior_entropy: 0.734, recall: 0.8429, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.8515,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9698, kappa: 0.9343, kb_relative_information_score: 1559.2975, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9711, predictive_accuracy: 0.9693, prior_entropy: 1.2099, recall: 0.9693, relative_absolute_error: 0.1255, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.108, root_relative_squared_error: 0.3194,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.6583, kappa: 0.1279, kb_relative_information_score: 64.134, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6488, predictive_accuracy: 0.6844, prior_entropy: 0.865, recall: 0.6844, relative_absolute_error: 0.8449, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.9329,

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: 0.9297, f_measure: 0.858, kappa: 0.7126, kb_relative_information_score: 392.6766, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8581, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.4645, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.6451,

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: 0.9564, kappa: 0.9086, kb_relative_information_score: 3769.3008, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9565, predictive_accuracy: 0.9565, prior_entropy: 0.9674, recall: 0.9565, relative_absolute_error: 0.2022, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.3907,

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: 0.8347, f_measure: 0.8653, kappa: 0.1355, kb_relative_information_score: -237.5053, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8628, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8228, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.9111,

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: 0.5797, f_measure: 0.2026, kappa: 0.0504, kb_relative_information_score: 42.4983, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.211, predictive_accuracy: 0.2158, prior_entropy: 2.5803, recall: 0.2158, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.9941,

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: 0.9947, f_measure: 0.9664, kappa: 0.9454, kb_relative_information_score: 2320.4629, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 1.4804, recall: 0.9665, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4472,

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: 0.9317, f_measure: 0.861, kappa: 0.6864, kb_relative_information_score: 587.4998, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.861, predictive_accuracy: 0.8626, prior_entropy: 0.9226, recall: 0.8626, relative_absolute_error: 0.4652, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.307, root_relative_squared_error: 0.6492,

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: 0.9613, f_measure: 0.7108, kappa: 0.68, kb_relative_information_score: 1488.6977, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7129, predictive_accuracy: 0.712, prior_entropy: 3.3219, recall: 0.712, relative_absolute_error: 0.3905, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.629,

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: 0.9968, f_measure: 0.9429, kappa: 0.9365, kb_relative_information_score: 1199.7639, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9435, predictive_accuracy: 0.9429, prior_entropy: 3.3218, recall: 0.9429, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.5106,

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: 0.9703, kappa: 0.9691, kb_relative_information_score: 18597.3914, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9704, predictive_accuracy: 0.9703, prior_entropy: 4.6998, recall: 0.9703, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0586, root_relative_squared_error: 0.305,

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: 0.8727, f_measure: 0.6191, kappa: 0.4958, kb_relative_information_score: 2709.6039, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6138, predictive_accuracy: 0.6311, prior_entropy: 2.3005, recall: 0.6311, relative_absolute_error: 0.6496, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.8146,

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: 0.9755, kappa: 0.9728, kb_relative_information_score: 1837.2853, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9756, predictive_accuracy: 0.9755, prior_entropy: 3.3219, recall: 0.9755, relative_absolute_error: 0.1499, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.2819,

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: 0.6162, f_measure: 0.5746, kappa: 0.1285, kb_relative_information_score: 32.0091, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5842, predictive_accuracy: 0.598, prior_entropy: 0.9816, recall: 0.598, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4883, root_relative_squared_error: 0.9894,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7577, kappa: 0.4588, kb_relative_information_score: 232.7937, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7574, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.8408,

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: 0.9934, kappa: 0.9868, kb_relative_information_score: 2947.445, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9986, recall: 0.9934, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.2016,

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: 0.7864, f_measure: 0.749, kappa: 0.3784, kb_relative_information_score: 190.331, mean_absolute_error: 0.3365, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7578, predictive_accuracy: 0.769, prior_entropy: 0.8818, recall: 0.769, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8832,

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: 0.76, f_measure: 0.7866, kappa: 0.247, kb_relative_information_score: 789.0798, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7937, predictive_accuracy: 0.8219, prior_entropy: 0.7088, recall: 0.8219, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9182,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 1813.524, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.2913,

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: 0.9612, f_measure: 0.9049, kappa: 0.7704, kb_relative_information_score: 3393.2382, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9048, predictive_accuracy: 0.9051, prior_entropy: 0.8733, recall: 0.9051, relative_absolute_error: 0.3859, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.5839,

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: 0.9926, kappa: 0.9915, kb_relative_information_score: 978.6231, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9928, predictive_accuracy: 0.9926, prior_entropy: 2.9931, recall: 0.9926, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.2745,

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: 0.9998, f_measure: 0.9969, kappa: 0.9953, kb_relative_information_score: 5395.1514, mean_absolute_error: 0.0052, 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: 0.0156, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0377, root_relative_squared_error: 0.0928,

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: 0.6269, f_measure: 0.5828, kappa: 0.1472, kb_relative_information_score: 34.572, mean_absolute_error: 0.4576, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5962, predictive_accuracy: 0.608, prior_entropy: 0.9816, recall: 0.608, relative_absolute_error: 0.9392, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4827, root_relative_squared_error: 0.978,

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: 0.9848, f_measure: 0.8464, kappa: 0.83, kb_relative_information_score: 1604.0194, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8467, predictive_accuracy: 0.847, prior_entropy: 3.3219, recall: 0.847, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.152, root_relative_squared_error: 0.5068,

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: 0.9616, kappa: 0.96, kb_relative_information_score: 18608.7946, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9618, predictive_accuracy: 0.9616, prior_entropy: 4.6998, recall: 0.9616, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0598, root_relative_squared_error: 0.3109,

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: 0.7603, f_measure: 0.7837, kappa: 0.2359, kb_relative_information_score: 768.0195, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7912, predictive_accuracy: 0.8205, prior_entropy: 0.7088, recall: 0.8205, relative_absolute_error: 0.8357, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9186,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.982, kappa: 0.9802, kb_relative_information_score: 5255.9819, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9821, predictive_accuracy: 0.982, prior_entropy: 3.4594, recall: 0.982, relative_absolute_error: 0.0921, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0611, root_relative_squared_error: 0.2124,

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: 0.9106, f_measure: 0.6655, kappa: 0.5713, kb_relative_information_score: 412.6138, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6733, predictive_accuracy: 0.6671, prior_entropy: 2.2629, recall: 0.6671, relative_absolute_error: 0.5523, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.7437,

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: 0.9996, f_measure: 0.979, kappa: 0.9768, kb_relative_information_score: 5237.8858, mean_absolute_error: 0.0158, 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: 0.0959, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0653, root_relative_squared_error: 0.2271,

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: 0.9775, kappa: 0.975, kb_relative_information_score: 1816.5659, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9777, predictive_accuracy: 0.9775, prior_entropy: 3.3219, recall: 0.9775, relative_absolute_error: 0.1759, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.2886,

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: 0.6805, kappa: 0.5911, kb_relative_information_score: 416.1776, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.685, predictive_accuracy: 0.6821, prior_entropy: 2.2629, recall: 0.6821, relative_absolute_error: 0.5466, 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 dna

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9525, kappa: 0.9226, kb_relative_information_score: 2165.4925, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9526, predictive_accuracy: 0.9526, prior_entropy: 1.48, recall: 0.9526, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.503,

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: 0.7617, f_measure: 0.7844, kappa: 0.2367, kb_relative_information_score: 899.8234, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7958, predictive_accuracy: 0.8228, prior_entropy: 0.7088, recall: 0.8228, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.916,

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: 0.7488, f_measure: 0.6567, kappa: 0.1187, kb_relative_information_score: 62.5782, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6629, predictive_accuracy: 0.7101, prior_entropy: 0.865, recall: 0.7101, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.9209,

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: 0.7882, f_measure: 0.7507, kappa: 0.3824, kb_relative_information_score: 193.9395, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7605, predictive_accuracy: 0.771, prior_entropy: 0.8818, recall: 0.771, relative_absolute_error: 0.7987, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8814,

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: 0.9134, f_measure: 0.9245, kappa: 0.2267, kb_relative_information_score: -560.7951, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.934, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.8514,

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: 0.9815, kappa: 0.9796, kb_relative_information_score: 5236.5594, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9816, predictive_accuracy: 0.9815, prior_entropy: 3.4594, recall: 0.9815, relative_absolute_error: 0.0987, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0637, root_relative_squared_error: 0.2216,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9907, kappa: 0.9894, kb_relative_information_score: 928.5733, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9909, predictive_accuracy: 0.9907, prior_entropy: 2.9931, recall: 0.9907, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1112, root_relative_squared_error: 0.3364,

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: 0.8224, f_measure: 0.7456, kappa: 0.4315, kb_relative_information_score: 241.8393, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.745, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8429,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.978, kappa: 0.9756, kb_relative_information_score: 1842.0919, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9781, predictive_accuracy: 0.978, prior_entropy: 3.3219, recall: 0.978, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0821, root_relative_squared_error: 0.2735,

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: 0.9294, f_measure: 0.8572, kappa: 0.6777, kb_relative_information_score: 582.953, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8571, predictive_accuracy: 0.8588, prior_entropy: 0.9226, recall: 0.8588, relative_absolute_error: 0.4683, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6545,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9833, kappa: 0.9758, kb_relative_information_score: 754.34, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9835, predictive_accuracy: 0.9834, prior_entropy: 1.7898, recall: 0.9834, relative_absolute_error: 0.1516, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.2641,

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: 0.9934, f_measure: 0.9557, kappa: 0.9279, kb_relative_information_score: 2144.2714, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9558, predictive_accuracy: 0.9557, prior_entropy: 1.48, recall: 0.9557, relative_absolute_error: 0.4308, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.505,

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: 0.9613, f_measure: 0.7131, kappa: 0.6828, kb_relative_information_score: 1491.6834, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7163, predictive_accuracy: 0.7145, prior_entropy: 3.3219, recall: 0.7145, relative_absolute_error: 0.3952, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.6227,

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: 0.8048, kappa: 0.7472, kb_relative_information_score: 1398.6329, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8062, predictive_accuracy: 0.8047, prior_entropy: 2.4138, recall: 0.8047, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.198, root_relative_squared_error: 0.5939,

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: 0.97, kappa: 0.9667, kb_relative_information_score: 1815.9599, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9703, predictive_accuracy: 0.97, prior_entropy: 3.3219, recall: 0.97, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2993,

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: 0.9103, f_measure: 0.9504, kappa: 0.7867, kb_relative_information_score: 2796.5449, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9518, predictive_accuracy: 0.9528, prior_entropy: 0.5883, recall: 0.9528, relative_absolute_error: 0.44, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.5914,

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: 0.9998, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5401.0665, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 1.7151, recall: 0.9967, relative_absolute_error: 0.0133, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0377, root_relative_squared_error: 0.0927,

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: 0.9145, f_measure: 0.9223, kappa: 0.2093, kb_relative_information_score: -578.2068, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.926, predictive_accuracy: 0.9408, prior_entropy: 0.3411, recall: 0.9408, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.8503,

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: 0.9929, f_measure: 0.9194, kappa: 0.9029, kb_relative_information_score: 5592.595, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9198, predictive_accuracy: 0.9216, prior_entropy: 2.4836, recall: 0.9216, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.391,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.7128, kappa: 0.6828, kb_relative_information_score: 1489.1162, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7137, predictive_accuracy: 0.7145, prior_entropy: 3.3219, recall: 0.7145, relative_absolute_error: 0.386, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.6347,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.7862, kappa: 0.2452, kb_relative_information_score: 857.114, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7937, predictive_accuracy: 0.8219, prior_entropy: 0.7088, recall: 0.8219, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9186,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set ozone-level-8hr

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.9296, kappa: 0.3009, kb_relative_information_score: -487.1807, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9314, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.8422,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set cnae-9

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9508, kappa: 0.9448, kb_relative_information_score: 912.6854, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9511, predictive_accuracy: 0.9509, prior_entropy: 3.1699, recall: 0.9509, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.395,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.96, kappa: 0.9556, kb_relative_information_score: 1680.817, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9602, predictive_accuracy: 0.96, prior_entropy: 3.3219, recall: 0.96, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.3973,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.8089, kappa: 0.6147, kb_relative_information_score: 1593.1945, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8089, predictive_accuracy: 0.8091, prior_entropy: 0.9948, recall: 0.8091, relative_absolute_error: 0.6108, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7507,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9904, kappa: 0.9163, kb_relative_information_score: 3034.7737, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 0.3333, recall: 0.9905, relative_absolute_error: 0.1244, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.352,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pc4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.8891, kappa: 0.4366, kb_relative_information_score: 354.6453, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8874, predictive_accuracy: 0.9005, prior_entropy: 0.5368, recall: 0.9005, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.769,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pc3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.8694, kappa: 0.1709, kb_relative_information_score: -170.9188, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8655, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.8956,

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