OpenML

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: 0.9989, f_measure: 0.9656, kappa: 0.9622, kb_relative_information_score: 810.1878, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9663, predictive_accuracy: 0.9657, prior_entropy: 3.4594, recall: 0.9657, relative_absolute_error: 0.356, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.4468,

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: 0.9962, f_measure: 0.9397, kappa: 0.9298, kb_relative_information_score: 2115.7355, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9399, predictive_accuracy: 0.9398, prior_entropy: 2.8074, recall: 0.9398, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.3238,

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: 0.9897, f_measure: 0.963, kappa: 0.9207, kb_relative_information_score: 485.5393, mean_absolute_error: 0.0747, 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: 0.1598, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3599,

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: 0.9918, f_measure: 0.9849, kappa: 0.8493, kb_relative_information_score: 3182.324, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9847, predictive_accuracy: 0.9851, prior_entropy: 0.3037, recall: 0.9851, relative_absolute_error: 0.2321, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.4721,

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: 1322.9828, mean_absolute_error: 0.0211, 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: 0.0428, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0709, root_relative_squared_error: 0.1427,

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: 0.992, f_measure: 0.963, kappa: 0.9207, kb_relative_information_score: 482.4986, mean_absolute_error: 0.0783, 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: 0.1675, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.3605,

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: 0.9489, kappa: 0.8042, kb_relative_information_score: 257.3131, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8944, prior_entropy: 1.3212, recall: 0.8944, relative_absolute_error: 0.6014, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6875,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 715.5586, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.2282, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.2985,

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: 0.7093, kappa: 0.6789, kb_relative_information_score: 1478.4824, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7115, predictive_accuracy: 0.711, prior_entropy: 3.3219, recall: 0.711, relative_absolute_error: 0.4011, 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 qsar-biodeg

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.8581, kappa: 0.6796, kb_relative_information_score: 592.1242, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.858, predictive_accuracy: 0.8597, prior_entropy: 0.9226, recall: 0.8597, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.6565,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 728.0829, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.3759,

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: 0.9991, f_measure: 0.9944, kappa: 0.9887, kb_relative_information_score: 3144.5592, mean_absolute_error: 0.0086, 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: 0.0172, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.1332,

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: 0.9922, f_measure: 0.8989, kappa: 0.8854, kb_relative_information_score: 949.5555, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9006, predictive_accuracy: 0.8981, prior_entropy: 3.1699, recall: 0.8981, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.3941,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9892, kappa: 0.9051, kb_relative_information_score: 2871.332, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9892, predictive_accuracy: 0.9894, prior_entropy: 0.3333, recall: 0.9894, relative_absolute_error: 0.1798, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0872, 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 sick

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9852, kappa: 0.8674, kb_relative_information_score: 2584.6488, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9853, predictive_accuracy: 0.9857, prior_entropy: 0.3333, recall: 0.9857, relative_absolute_error: 0.2501, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.4107,

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: 0.9504, kappa: 0.8071, kb_relative_information_score: 260.3588, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.896, prior_entropy: 1.3212, recall: 0.896, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.6844,

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: 0.996, f_measure: 0.9362, kappa: 0.9258, kb_relative_information_score: 2131.8185, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9362, predictive_accuracy: 0.9364, prior_entropy: 2.8074, recall: 0.9364, relative_absolute_error: 0.1169, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.3239,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9904, kappa: 0.9163, kb_relative_information_score: 3117.1305, mean_absolute_error: 0.0134, 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: 0.1166, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.3399,

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: 0.965, f_measure: 0.9126, kappa: 0.7889, kb_relative_information_score: 3579.496, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9125, predictive_accuracy: 0.9128, prior_entropy: 0.8733, recall: 0.9128, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.5615,

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: 0.7211, f_measure: 0.7365, kappa: 0.2246, kb_relative_information_score: 84.2859, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.733, predictive_accuracy: 0.766, prior_entropy: 0.7928, recall: 0.766, relative_absolute_error: 0.8468, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.9398,

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: 0.9974, f_measure: 0.9436, kappa: 0.9372, kb_relative_information_score: 1265.5763, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9442, predictive_accuracy: 0.9435, prior_entropy: 3.3218, recall: 0.9435, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.4616,

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: 0.9646, f_measure: 0.9126, kappa: 0.7885, kb_relative_information_score: 3524.8205, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9124, predictive_accuracy: 0.9128, prior_entropy: 0.8733, recall: 0.9128, relative_absolute_error: 0.361, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5667,

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: 0.7231, f_measure: 0.7462, kappa: 0.2561, kb_relative_information_score: 91.8512, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7427, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8338, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.9458,

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: 0.7289, f_measure: 0.7416, kappa: 0.2388, kb_relative_information_score: 90.1341, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.74, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8421, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.9341,

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: 0.995, f_measure: 0.9667, kappa: 0.9459, kb_relative_information_score: 2199.839, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9667, predictive_accuracy: 0.9668, prior_entropy: 1.4804, recall: 0.9668, relative_absolute_error: 0.4154, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4826,

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: 0.9924, kappa: 0.9916, kb_relative_information_score: 10699.3042, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 3.3208, recall: 0.9924, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0466, root_relative_squared_error: 0.1555,

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: 0.9142, f_measure: 0.6972, kappa: 0.608, kb_relative_information_score: 4792.0649, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7113, predictive_accuracy: 0.7061, prior_entropy: 2.1936, recall: 0.7061, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.7493,

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: 0.949, f_measure: 0.7957, kappa: 0.735, kb_relative_information_score: 1392.8295, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7982, predictive_accuracy: 0.796, prior_entropy: 2.4138, recall: 0.796, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.5956,

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: 0.9337, f_measure: 0.7379, kappa: 0.6612, kb_relative_information_score: 552.7367, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.734, predictive_accuracy: 0.7459, prior_entropy: 1.9991, recall: 0.7459, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.625,

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: 5227.5248, mean_absolute_error: 0.0248, 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: 0.1376, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.2516,

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: 0.9697, kappa: 0.9667, kb_relative_information_score: 828.5213, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9701, predictive_accuracy: 0.9697, prior_entropy: 3.4594, recall: 0.9697, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1184, root_relative_squared_error: 0.412,

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: 0.9113, f_measure: 0.9239, kappa: 0.227, kb_relative_information_score: -476.6977, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9279, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7431, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.8545,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9904, kappa: 0.9163, kb_relative_information_score: 3117.1305, mean_absolute_error: 0.0134, 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: 0.1166, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.3399,

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: 0.8237, f_measure: 0.8385, kappa: 0.314, kb_relative_information_score: 179.6974, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8404, predictive_accuracy: 0.8625, prior_entropy: 0.622, recall: 0.8625, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.8854,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 776.2856, mean_absolute_error: 0.1066, 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: 0.2352, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.3245,

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: 0.9989, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 743.9767, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.275, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3598,

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: 0.9398, f_measure: 0.897, kappa: 0.487, kb_relative_information_score: 390.9443, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8945, predictive_accuracy: 0.9047, prior_entropy: 0.5368, recall: 0.9047, relative_absolute_error: 0.5827, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.7681,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, kappa: 0.7389, kb_relative_information_score: 329.9086, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8592, prior_entropy: 1.3212, recall: 0.8592, relative_absolute_error: 0.471, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.6344,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9912, kappa: 0.9225, kb_relative_information_score: 3055.3678, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9911, predictive_accuracy: 0.9913, prior_entropy: 0.3333, recall: 0.9913, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.3427,

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: 0.7193, f_measure: 0.749, kappa: 0.2655, kb_relative_information_score: 92.1143, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7453, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.9455,

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: 0.9902, f_measure: 0.9836, kappa: 0.8367, kb_relative_information_score: 3088.8146, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2455, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.5008,

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: 0.8431, f_measure: 0.8602, kappa: 0.0987, kb_relative_information_score: -186.3811, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8534, predictive_accuracy: 0.8944, prior_entropy: 0.478, recall: 0.8944, relative_absolute_error: 0.8178, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.9097,

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: 0.9993, f_measure: 0.9636, kappa: 0.96, kb_relative_information_score: 839.3414, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9639, predictive_accuracy: 0.9636, prior_entropy: 3.4594, recall: 0.9636, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.3987,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9909, kappa: 0.921, kb_relative_information_score: 3069.7546, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9909, predictive_accuracy: 0.991, prior_entropy: 0.3333, recall: 0.991, relative_absolute_error: 0.1202, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.3437,

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: 0.9983, f_measure: 0.9907, kappa: 0.9181, kb_relative_information_score: 3101.4379, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9906, predictive_accuracy: 0.9907, prior_entropy: 0.3333, recall: 0.9907, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.3452,

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: 0.9477, kappa: 0.7893, kb_relative_information_score: 268.6211, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8864, prior_entropy: 1.3212, recall: 0.8864, relative_absolute_error: 0.5801, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.6764,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9646, kappa: 0.9611, kb_relative_information_score: 842.3187, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9651, predictive_accuracy: 0.9646, prior_entropy: 3.4594, recall: 0.9646, relative_absolute_error: 0.3026, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.3957,

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: 0.9977, f_measure: 0.9554, kappa: 0.95, kb_relative_information_score: 909.5318, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9555, predictive_accuracy: 0.9556, prior_entropy: 3.1699, recall: 0.9556, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.3955,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9336, kappa: 0.9261, kb_relative_information_score: 1224.6063, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9347, predictive_accuracy: 0.9335, prior_entropy: 3.3218, recall: 0.9335, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.4969,

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: 0.7355, f_measure: 0.6649, kappa: 0.1425, kb_relative_information_score: 63.7465, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6574, predictive_accuracy: 0.6947, prior_entropy: 0.865, recall: 0.6947, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.9337,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9659, kappa: 0.9445, kb_relative_information_score: 2501.3033, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.966, predictive_accuracy: 0.9658, prior_entropy: 1.4804, recall: 0.9658, relative_absolute_error: 0.2927, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.3965,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, f_measure: 0.7553, kappa: 0.2817, kb_relative_information_score: 92.8636, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7546, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8416, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9287,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9399, kappa: 0.9323, kb_relative_information_score: 937.3486, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9404, predictive_accuracy: 0.9398, prior_entropy: 3.1699, recall: 0.9398, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1175, root_relative_squared_error: 0.3737,

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: 0.9958, f_measure: 0.9317, kappa: 0.924, kb_relative_information_score: 1276.8297, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9327, predictive_accuracy: 0.9316, prior_entropy: 3.3218, recall: 0.9316, relative_absolute_error: 0.3414, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.4625,

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: 0.9927, f_measure: 0.9181, kappa: 0.9073, kb_relative_information_score: 822.9972, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9204, predictive_accuracy: 0.9176, prior_entropy: 3.1699, recall: 0.9176, relative_absolute_error: 0.3873, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.4968,

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: 0.9915, f_measure: 0.9079, kappa: 0.8958, kb_relative_information_score: 765.8333, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9114, predictive_accuracy: 0.9074, prior_entropy: 3.1699, recall: 0.9074, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.5508,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9336, kappa: 0.9261, kb_relative_information_score: 1224.6063, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9347, predictive_accuracy: 0.9335, prior_entropy: 3.3218, recall: 0.9335, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.4969,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9336, kappa: 0.9261, kb_relative_information_score: 1224.6063, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9347, predictive_accuracy: 0.9335, prior_entropy: 3.3218, recall: 0.9335, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.4969,

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: 0.9313, f_measure: 0.7365, kappa: 0.6565, kb_relative_information_score: 559.3173, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7327, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.422, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.6296,

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: 0.993, f_measure: 0.9191, kappa: 0.9083, kb_relative_information_score: 807.3963, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9216, predictive_accuracy: 0.9185, prior_entropy: 3.1699, recall: 0.9185, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.5095,

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: 0.9495, kappa: 0.8012, kb_relative_information_score: 286.797, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8928, prior_entropy: 1.3212, recall: 0.8928, relative_absolute_error: 0.5437, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.657,

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: 0.9991, f_measure: 0.9685, kappa: 0.9314, kb_relative_information_score: 1458.7753, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9694, predictive_accuracy: 0.9682, prior_entropy: 1.2099, recall: 0.9682, relative_absolute_error: 0.2176, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.3552,

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: 0.9923, f_measure: 0.9235, kappa: 0.9135, kb_relative_information_score: 825.4533, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9249, predictive_accuracy: 0.9231, prior_entropy: 3.1699, recall: 0.9231, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.4951,

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: 0.8326, f_measure: 0.7645, kappa: 0.4754, kb_relative_information_score: 262.72, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6669, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.831,

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: 0.9765, kappa: 0.9739, kb_relative_information_score: 1795.0089, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9767, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.1947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.092, root_relative_squared_error: 0.3066,

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: 0.8699, f_measure: 0.924, kappa: 0.3176, kb_relative_information_score: -247.3476, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9244, predictive_accuracy: 0.9378, prior_entropy: 0.3667, recall: 0.9378, relative_absolute_error: 0.7698, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.8815,

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: 0.7261, f_measure: 0.7424, kappa: 0.2432, kb_relative_information_score: 90.7534, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7395, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.936,

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: 0.9965, f_measure: 0.9341, kappa: 0.9268, kb_relative_information_score: 1258.3343, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9352, predictive_accuracy: 0.9341, prior_entropy: 3.3218, recall: 0.9341, relative_absolute_error: 0.369, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.471,

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: 0.989, f_measure: 0.9575, kappa: 0.9108, kb_relative_information_score: 3699.0664, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9576, predictive_accuracy: 0.9576, prior_entropy: 0.9674, recall: 0.9576, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.3959,

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: 0.7374, f_measure: 0.5489, kappa: 0.2995, kb_relative_information_score: 291.7602, mean_absolute_error: 0.3743, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5492, predictive_accuracy: 0.5553, prior_entropy: 1.5392, recall: 0.5553, relative_absolute_error: 0.8689, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4262, 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 breast-w

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9686, kappa: 0.9306, kb_relative_information_score: 602.3055, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9687, predictive_accuracy: 0.9685, prior_entropy: 0.9297, recall: 0.9685, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.36,

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: 0.9969, f_measure: 0.9404, kappa: 0.9337, kb_relative_information_score: 1238.1476, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9412, predictive_accuracy: 0.9404, prior_entropy: 3.3218, recall: 0.9404, relative_absolute_error: 0.3903, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.4842,

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: 0.8596, f_measure: 0.9176, kappa: 0.2671, kb_relative_information_score: -262.005, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9137, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.9103,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9715, kappa: 0.937, kb_relative_information_score: 589.7737, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9717, predictive_accuracy: 0.9714, prior_entropy: 0.9297, recall: 0.9714, relative_absolute_error: 0.1774, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3558,

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: 0.9487, f_measure: 0.8015, kappa: 0.7427, kb_relative_information_score: 1375.445, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8038, predictive_accuracy: 0.8016, prior_entropy: 2.4138, recall: 0.8016, relative_absolute_error: 0.41, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6,

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: 0.9303, f_measure: 0.865, kappa: 0.73, kb_relative_information_score: 1217.8256, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8651, predictive_accuracy: 0.865, prior_entropy: 1, recall: 0.865, relative_absolute_error: 0.5805, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.6835,

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: 0.968, f_measure: 0.9144, kappa: 0.793, kb_relative_information_score: 3626.1492, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9142, predictive_accuracy: 0.9147, prior_entropy: 0.8733, recall: 0.9147, relative_absolute_error: 0.341, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.5528,

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: 0.9162, f_measure: 0.9528, kappa: 0.7989, kb_relative_information_score: 3152.2225, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9533, predictive_accuracy: 0.9546, prior_entropy: 0.5883, recall: 0.9546, relative_absolute_error: 0.3587, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.199, root_relative_squared_error: 0.5711,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9169, kappa: 0.8999, kb_relative_information_score: 5602.2826, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9173, predictive_accuracy: 0.9191, prior_entropy: 2.4836, recall: 0.9191, relative_absolute_error: 0.1853, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.3916,

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: 0.9124, f_measure: 0.6952, kappa: 0.606, kb_relative_information_score: 4751.3396, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7093, predictive_accuracy: 0.7046, prior_entropy: 2.1936, recall: 0.7046, relative_absolute_error: 0.6408, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.7527,

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: 0.994, f_measure: 0.9549, kappa: 0.9266, kb_relative_information_score: 2501.1259, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9551, predictive_accuracy: 0.9548, prior_entropy: 1.48, recall: 0.9548, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.4072,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9747, kappa: 0.9722, kb_relative_information_score: 841.8101, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9753, predictive_accuracy: 0.9747, prior_entropy: 3.4594, recall: 0.9747, relative_absolute_error: 0.3052, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1121, root_relative_squared_error: 0.3899,

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: 0.7508, f_measure: 0.6504, kappa: 0.1053, kb_relative_information_score: 61.4476, mean_absolute_error: 0.3528, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6654, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.8623, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.9203,

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: 0.9945, f_measure: 0.9728, kappa: 0.9448, kb_relative_information_score: 10213.4675, mean_absolute_error: 0.0405, 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: 0.082, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.277,

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: 0.9781, kappa: 0.9523, kb_relative_information_score: 1610.7952, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9786, predictive_accuracy: 0.978, prior_entropy: 1.2099, recall: 0.978, relative_absolute_error: 0.0859, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0868, root_relative_squared_error: 0.2569,

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: 0.7277, f_measure: 0.7425, kappa: 0.2423, kb_relative_information_score: 89.1396, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7405, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.399, root_relative_squared_error: 0.9369,

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: 0.8732, f_measure: 0.7873, kappa: 0.5754, kb_relative_information_score: 609.6449, mean_absolute_error: 0.4035, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7899, predictive_accuracy: 0.7877, prior_entropy: 1, recall: 0.7877, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8409,

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: 0.9928, f_measure: 0.9729, kappa: 0.9402, kb_relative_information_score: 596.88, mean_absolute_error: 0.0745, 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: 0.1649, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3482,

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: 0.7252, f_measure: 0.7474, kappa: 0.2581, kb_relative_information_score: 92.8093, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7452, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8391, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.9358,

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: 0.913, f_measure: 0.9481, kappa: 0.7765, kb_relative_information_score: 2820.3628, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9497, predictive_accuracy: 0.9508, prior_entropy: 0.5883, recall: 0.9508, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.5953,

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: 0.9944, f_measure: 0.973, kappa: 0.9453, kb_relative_information_score: 10270.1529, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.9906, recall: 0.973, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.2766,

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: 0.9993, f_measure: 0.9636, kappa: 0.96, kb_relative_information_score: 839.3414, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9639, predictive_accuracy: 0.9636, prior_entropy: 3.4594, recall: 0.9636, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.3987,

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: 0.8187, f_measure: 0.8254, kappa: 0.4358, kb_relative_information_score: 139.627, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8233, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.34, 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 mfeat-zernike

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.7794, kappa: 0.7589, kb_relative_information_score: 1415.2245, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7766, predictive_accuracy: 0.783, prior_entropy: 3.3219, recall: 0.783, relative_absolute_error: 0.4232, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.6422,

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: 0.725, f_measure: 0.7463, kappa: 0.2554, kb_relative_information_score: 87.1223, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7437, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8445, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.9358,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9803, kappa: 0.9781, kb_relative_information_score: 5243.0745, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9803, predictive_accuracy: 0.9802, prior_entropy: 3.3218, recall: 0.9802, relative_absolute_error: 0.1307, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2496,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9935, kappa: 0.9926, kb_relative_information_score: 942.4036, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9937, predictive_accuracy: 0.9935, prior_entropy: 2.9931, recall: 0.9935, relative_absolute_error: 0.25, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.317,

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: 0.9503, kappa: 0.7871, kb_relative_information_score: 3099.1992, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9511, predictive_accuracy: 0.9524, prior_entropy: 0.5883, recall: 0.9524, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.5777,

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: 0.9651, f_measure: 0.9095, kappa: 0.7806, kb_relative_information_score: 3496.2022, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9093, predictive_accuracy: 0.9101, prior_entropy: 0.8733, recall: 0.9101, relative_absolute_error: 0.3682, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5659,

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: 0.8282, f_measure: 0.7562, kappa: 0.4553, kb_relative_information_score: 251.385, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.756, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6832, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8356,

Sign in

Filter results by: