OpenML

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: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1321.3561, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0436, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.1517,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9931, kappa: 0.9862, kb_relative_information_score: 2938.9993, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.9986, recall: 0.9931, relative_absolute_error: 0.0986, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1021, root_relative_squared_error: 0.2043,

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: 0.9931, f_measure: 0.9223, kappa: 0.9062, kb_relative_information_score: 5605.3292, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9223, predictive_accuracy: 0.9243, prior_entropy: 2.4836, recall: 0.9243, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.388,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.7412, kappa: 0.3579, kb_relative_information_score: 186.6532, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.754, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.8097, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8805,

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: 0.9607, kappa: 0.9591, kb_relative_information_score: 18674.3441, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9609, predictive_accuracy: 0.9607, prior_entropy: 4.6998, recall: 0.9607, relative_absolute_error: 0.1493, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0585, root_relative_squared_error: 0.3043,

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: 0.7254, f_measure: 0.7445, kappa: 0.2485, kb_relative_information_score: 89.1122, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7427, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.9334,

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: 2113.3094, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9385, predictive_accuracy: 0.9385, prior_entropy: 2.8074, recall: 0.9385, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.3293,

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: 0.9956, kappa: 0.9934, kb_relative_information_score: 5270.8747, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7151, recall: 0.9956, relative_absolute_error: 0.0529, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.056, root_relative_squared_error: 0.1375,

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: 0.9982, f_measure: 0.9655, kappa: 0.9617, kb_relative_information_score: 1635.7887, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9656, predictive_accuracy: 0.9655, prior_entropy: 3.3219, recall: 0.9655, relative_absolute_error: 0.3338, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.4219,

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: 0.9811, kappa: 0.9792, kb_relative_information_score: 5242.5385, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9812, predictive_accuracy: 0.9811, prior_entropy: 3.4594, recall: 0.9811, relative_absolute_error: 0.0965, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0629, root_relative_squared_error: 0.2189,

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: 0.9102, f_measure: 0.8102, kappa: 0.6086, kb_relative_information_score: 231.5176, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8146, predictive_accuracy: 0.813, prior_entropy: 0.9826, recall: 0.813, relative_absolute_error: 0.6068, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7254,

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: 0.9242, f_measure: 0.8681, kappa: 0.7329, kb_relative_information_score: 382.2671, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.4818, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6576,

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: 0.9893, f_measure: 0.9595, kappa: 0.9133, kb_relative_information_score: 486.2816, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1566, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3685,

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: 0.8793, f_measure: 0.807, kappa: 0.611, kb_relative_information_score: 1633.9714, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.807, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7516,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9885, kappa: 0.9744, kb_relative_information_score: 749.4147, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9887, predictive_accuracy: 0.9885, prior_entropy: 0.9312, recall: 0.9885, relative_absolute_error: 0.2654, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.171, root_relative_squared_error: 0.3594,

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: 0.9448, f_measure: 0.8922, kappa: 0.4459, kb_relative_information_score: 376.2941, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8935, predictive_accuracy: 0.9053, prior_entropy: 0.5368, recall: 0.9053, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.248, root_relative_squared_error: 0.7576,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9399, kappa: 0.933, kb_relative_information_score: 1259.2193, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9409, predictive_accuracy: 0.9397, prior_entropy: 3.3218, recall: 0.9397, relative_absolute_error: 0.366, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.4696,

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: 0.9086, f_measure: 0.9267, kappa: 0.2643, kb_relative_information_score: -535.222, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.8493,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9278, kappa: 0.9198, kb_relative_information_score: 1278.2411, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9291, predictive_accuracy: 0.9278, prior_entropy: 3.3218, recall: 0.9278, relative_absolute_error: 0.341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.4591,

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: 0.9707, kappa: 0.9678, kb_relative_information_score: 782.712, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9713, predictive_accuracy: 0.9707, prior_entropy: 3.4594, recall: 0.9707, relative_absolute_error: 0.4075, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.4713,

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: 0.8811, f_measure: 0.8075, kappa: 0.6118, kb_relative_information_score: 1660.5233, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8076, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.5912, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7486,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9092, kappa: 0.7805, kb_relative_information_score: 3501.0372, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9091, predictive_accuracy: 0.9095, prior_entropy: 0.8733, recall: 0.9095, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.5694,

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: 0.7493, kappa: 0.2642, kb_relative_information_score: 96.8398, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7473, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.9402,

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: 0.9091, f_measure: 0.6861, kappa: 0.5939, kb_relative_information_score: 4657.5968, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7017, predictive_accuracy: 0.6959, prior_entropy: 2.1936, recall: 0.6959, relative_absolute_error: 0.6485, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.7585,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.898, kappa: 0.4881, kb_relative_information_score: 410.4874, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8963, predictive_accuracy: 0.9067, prior_entropy: 0.5368, recall: 0.9067, relative_absolute_error: 0.5718, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.7519,

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: 0.9984, f_measure: 0.9703, kappa: 0.9355, kb_relative_information_score: 1559.3479, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9714, predictive_accuracy: 0.9699, prior_entropy: 1.2099, recall: 0.9699, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.3096,

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: 1, f_measure: 0.9954, kappa: 0.9947, kb_relative_information_score: 952.1603, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9955, predictive_accuracy: 0.9954, prior_entropy: 2.9931, recall: 0.9954, relative_absolute_error: 0.2346, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.3018,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set climate-model-simulation-crashes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.9282, kappa: 0.4797, kb_relative_information_score: 76.3892, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9327, predictive_accuracy: 0.9389, prior_entropy: 0.4254, recall: 0.9389, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.7704,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.8677, kappa: 0.7354, kb_relative_information_score: 1290.6567, mean_absolute_error: 0.2754, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8677, predictive_accuracy: 0.8677, prior_entropy: 1, recall: 0.8677, relative_absolute_error: 0.5508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6666,

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: 0.9664, kappa: 0.9454, kb_relative_information_score: 2362.8819, mean_absolute_error: 0.1433, 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: 0.3494, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.4368,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6335, f_measure: 0.5954, kappa: 0.1748, kb_relative_information_score: 31.379, mean_absolute_error: 0.4617, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6139, predictive_accuracy: 0.622, prior_entropy: 0.9816, recall: 0.622, relative_absolute_error: 0.9475, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9717,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9861, kb_relative_information_score: 696.6109, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7898, recall: 0.9905, relative_absolute_error: 0.2598, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.3283,

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: 0.9909, f_measure: 0.8945, kappa: 0.8802, kb_relative_information_score: 950.0426, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8965, predictive_accuracy: 0.8935, prior_entropy: 3.1699, recall: 0.8935, relative_absolute_error: 0.1722, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1273, root_relative_squared_error: 0.405,

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: 0.9181, f_measure: 0.9519, kappa: 0.7951, kb_relative_information_score: 3145.0177, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9522, predictive_accuracy: 0.9536, prior_entropy: 0.5883, recall: 0.9536, relative_absolute_error: 0.362, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.5704,

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: 0.9962, f_measure: 0.9732, kappa: 0.9457, kb_relative_information_score: 10146.5584, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9733, predictive_accuracy: 0.9732, prior_entropy: 0.9906, recall: 0.9732, relative_absolute_error: 0.0894, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.14, root_relative_squared_error: 0.2818,

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: 0.9893, f_measure: 0.9586, kappa: 0.9132, kb_relative_information_score: 3784.9005, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9587, predictive_accuracy: 0.9587, prior_entropy: 0.9674, recall: 0.9587, relative_absolute_error: 0.1987, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.3852,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.7169, kappa: 0.6867, kb_relative_information_score: 1496.1764, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7199, predictive_accuracy: 0.718, prior_entropy: 3.3219, recall: 0.718, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.6272,

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: 0.993, f_measure: 0.9521, kappa: 0.9221, kb_relative_information_score: 2730.3496, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9525, predictive_accuracy: 0.952, prior_entropy: 1.48, recall: 0.952, relative_absolute_error: 0.1853, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.3593,

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: 0.927, f_measure: 0.8655, kappa: 0.7283, kb_relative_information_score: 402.0164, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6379,

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: 0.9788, kappa: 0.9766, kb_relative_information_score: 5204.4527, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9789, predictive_accuracy: 0.9787, prior_entropy: 3.4594, recall: 0.9787, relative_absolute_error: 0.1109, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0677, root_relative_squared_error: 0.2355,

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: 0.8741, f_measure: 0.6112, kappa: 0.4858, kb_relative_information_score: 2677.4733, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6062, predictive_accuracy: 0.6257, prior_entropy: 2.3005, recall: 0.6257, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.814,

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: 0.9986, f_measure: 0.972, kappa: 0.9689, kb_relative_information_score: 1740.0156, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9722, predictive_accuracy: 0.972, prior_entropy: 3.3219, recall: 0.972, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.3504,

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: 0.7532, f_measure: 0.6498, kappa: 0.1028, kb_relative_information_score: 65.3018, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6596, predictive_accuracy: 0.7101, prior_entropy: 0.865, recall: 0.7101, relative_absolute_error: 0.8566, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.9189,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9521, kappa: 0.9221, kb_relative_information_score: 2715.447, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9525, predictive_accuracy: 0.952, prior_entropy: 1.48, recall: 0.952, relative_absolute_error: 0.1912, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3659,

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: 0.9967, kappa: 0.995, kb_relative_information_score: 5385.7301, mean_absolute_error: 0.0062, 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: 0.0186, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0395, root_relative_squared_error: 0.0971,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9849, kappa: 0.8493, kb_relative_information_score: 3160.8854, mean_absolute_error: 0.024, 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: 0.2344, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.4769,

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: 0.7842, f_measure: 0.7424, kappa: 0.3615, kb_relative_information_score: 189.3928, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7518, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.8043, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8848,

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: 0.9954, f_measure: 0.938, kappa: 0.9278, kb_relative_information_score: 2117.2068, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9381, predictive_accuracy: 0.9381, prior_entropy: 2.8074, recall: 0.9381, relative_absolute_error: 0.1294, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.3309,

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: 0.9747, kappa: 0.9722, kb_relative_information_score: 784.5193, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9752, predictive_accuracy: 0.9747, prior_entropy: 3.4594, recall: 0.9747, relative_absolute_error: 0.4046, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.4685,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8685, kappa: 0.7369, kb_relative_information_score: 1253.8326, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8685, predictive_accuracy: 0.8685, prior_entropy: 1, recall: 0.8685, relative_absolute_error: 0.5653, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.338, root_relative_squared_error: 0.676,

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: 0.6213, f_measure: 0.5807, kappa: 0.1382, kb_relative_information_score: 33.9564, mean_absolute_error: 0.4581, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5873, predictive_accuracy: 0.6, prior_entropy: 0.9816, recall: 0.6, relative_absolute_error: 0.9402, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4836, root_relative_squared_error: 0.9799,

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: 0.9861, f_measure: 0.8875, kappa: 0.8719, kb_relative_information_score: 923.8389, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8905, predictive_accuracy: 0.8861, prior_entropy: 3.1699, recall: 0.8861, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.4337,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9673, kappa: 0.9292, kb_relative_information_score: 1366.585, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9686, predictive_accuracy: 0.967, prior_entropy: 1.2099, recall: 0.967, relative_absolute_error: 0.2935, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.4136,

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: 0.9052, f_measure: 0.9289, kappa: 0.2819, kb_relative_information_score: -624.5946, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9354, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.7594, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.8527,

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: 0.9536, kappa: 0.9245, kb_relative_information_score: 2581.9816, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9538, predictive_accuracy: 0.9535, prior_entropy: 1.48, recall: 0.9535, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3906,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.7361, kappa: 0.6549, kb_relative_information_score: 552.45, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7324, predictive_accuracy: 0.7411, prior_entropy: 1.9991, recall: 0.7411, relative_absolute_error: 0.4291, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.6413,

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: 0.873, f_measure: 0.6163, kappa: 0.4922, kb_relative_information_score: 2683.1113, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6116, predictive_accuracy: 0.6301, prior_entropy: 2.3005, recall: 0.6301, relative_absolute_error: 0.6551, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.8149,

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: 0.9338, f_measure: 0.8696, kappa: 0.7392, kb_relative_information_score: 1324.4391, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8696, predictive_accuracy: 0.8696, prior_entropy: 1, recall: 0.8696, relative_absolute_error: 0.5368, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6599,

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: 0.9998, f_measure: 0.9959, kappa: 0.9918, kb_relative_information_score: 3144.3326, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9986, recall: 0.9959, relative_absolute_error: 0.0184, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0595, root_relative_squared_error: 0.1191,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9162, kappa: 0.8993, kb_relative_information_score: 5557.4726, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9165, predictive_accuracy: 0.9187, prior_entropy: 2.4836, recall: 0.9187, relative_absolute_error: 0.1964, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.398,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9573, kappa: 0.9105, kb_relative_information_score: 3774.9751, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9574, predictive_accuracy: 0.9574, prior_entropy: 0.9674, recall: 0.9574, relative_absolute_error: 0.2009, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.3871,

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: 0.9717, kappa: 0.9689, kb_relative_information_score: 797.59, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9725, predictive_accuracy: 0.9717, prior_entropy: 3.4594, recall: 0.9717, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.4525,

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: 0.9358, kappa: 0.9253, kb_relative_information_score: 2130.9029, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9359, predictive_accuracy: 0.9359, prior_entropy: 2.8074, recall: 0.9359, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1136, 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 climate-model-simulation-crashes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.9305, kappa: 0.5055, kb_relative_information_score: 85.4684, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9316, predictive_accuracy: 0.9389, prior_entropy: 0.4254, recall: 0.9389, relative_absolute_error: 0.6192, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.7722,

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: 0.9382, f_measure: 0.9022, kappa: 0.5111, kb_relative_information_score: 395.932, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9008, predictive_accuracy: 0.9102, prior_entropy: 0.5368, recall: 0.9102, relative_absolute_error: 0.5761, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.7565,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9613, kappa: 0.917, kb_relative_information_score: 489.2317, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.3602,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, kappa: 0.7953, kb_relative_information_score: 270.6179, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8896, prior_entropy: 1.3212, recall: 0.8896, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.6759,

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: 0.9678, kappa: 0.9665, kb_relative_information_score: 18401.6131, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.968, predictive_accuracy: 0.9678, prior_entropy: 4.6998, recall: 0.9678, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.3263,

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: 0.9997, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 645.2081, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 1.7898, recall: 0.9881, relative_absolute_error: 0.3442, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3992,

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: 0.8263, f_measure: 0.8377, kappa: 0.3145, kb_relative_information_score: 159.3141, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8371, predictive_accuracy: 0.8601, prior_entropy: 0.622, recall: 0.8601, relative_absolute_error: 0.7611, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.8878,

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: 0.919, kappa: 0.9024, kb_relative_information_score: 5589.234, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9192, predictive_accuracy: 0.9212, prior_entropy: 2.4836, recall: 0.9212, relative_absolute_error: 0.1897, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.3903,

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: 0.9893, kappa: 0.9844, kb_relative_information_score: 735.6161, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 1.7898, recall: 0.9893, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.2741,

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: 0.9095, f_measure: 0.6524, kappa: 0.5599, kb_relative_information_score: 374.6847, mean_absolute_error: 0.1932, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6625, predictive_accuracy: 0.6603, prior_entropy: 2.2629, recall: 0.6603, relative_absolute_error: 0.6167, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.7534,

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: 0.8272, f_measure: 0.7551, kappa: 0.4528, kb_relative_information_score: 248.114, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7546, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.836,

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: 0.7384, f_measure: 0.6624, kappa: 0.1359, kb_relative_information_score: 66.0845, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6546, predictive_accuracy: 0.693, prior_entropy: 0.865, recall: 0.693, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.9264,

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: 0.9042, f_measure: 0.82, kappa: 0.6291, kb_relative_information_score: 239.9053, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8232, predictive_accuracy: 0.8222, prior_entropy: 0.9826, recall: 0.8222, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7243,

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

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

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.8259, kappa: 0.4313, kb_relative_information_score: 139.8029, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8267, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.6722, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.8331,

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: 0.8336, f_measure: 0.7687, kappa: 0.4835, kb_relative_information_score: 238.6478, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7685, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.7028, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8309,

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: 0.9117, f_measure: 0.6717, kappa: 0.5789, kb_relative_information_score: 418.678, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6782, predictive_accuracy: 0.6726, prior_entropy: 2.2629, recall: 0.6726, relative_absolute_error: 0.5465, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.293, root_relative_squared_error: 0.7403,

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: 0.8534, f_measure: 0.922, kappa: 0.3057, kb_relative_information_score: -300.2927, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.92, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.786, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.231, root_relative_squared_error: 0.9086,

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: 0.9737, kappa: 0.9711, kb_relative_information_score: 857.8009, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.974, predictive_accuracy: 0.9737, prior_entropy: 3.4594, recall: 0.9737, relative_absolute_error: 0.2757, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.3662,

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: 0.9109, f_measure: 0.6645, kappa: 0.5712, kb_relative_information_score: 410.2513, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6693, predictive_accuracy: 0.6671, prior_entropy: 2.2629, recall: 0.6671, relative_absolute_error: 0.5584, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.294, root_relative_squared_error: 0.743,

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: 0.9952, kappa: 0.9931, kb_relative_information_score: 687.3287, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.3409,

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: 0.9996, f_measure: 0.9839, kappa: 0.9648, kb_relative_information_score: 1639.6527, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.984, predictive_accuracy: 0.9838, prior_entropy: 1.2099, recall: 0.9838, relative_absolute_error: 0.0632, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.2225,

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: 0.9279, f_measure: 0.7364, kappa: 0.6564, kb_relative_information_score: 549.0877, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7322, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.6379,

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: 0.8184, f_measure: 0.8268, kappa: 0.4358, kb_relative_information_score: 138.3365, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8269, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.8419,

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: 0.9834, kappa: 0.8343, kb_relative_information_score: 3204.0596, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9832, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.4713,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set climate-model-simulation-crashes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.9182, kappa: 0.4009, kb_relative_information_score: 68.9708, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9214, predictive_accuracy: 0.9315, prior_entropy: 0.4254, recall: 0.9315, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.8053,

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: 0.7352, f_measure: 0.552, kappa: 0.3042, kb_relative_information_score: 357.2308, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5535, predictive_accuracy: 0.554, prior_entropy: 1.5392, recall: 0.554, relative_absolute_error: 0.8246, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.425, root_relative_squared_error: 0.9158,

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: 0.9292, f_measure: 0.8509, kappa: 0.6985, kb_relative_information_score: 379.5783, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8512, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.6529,

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: 0.7894, f_measure: 0.7455, kappa: 0.3696, kb_relative_information_score: 203.5946, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.754, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.7906, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.881,

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: 0.8175, f_measure: 0.8285, kappa: 0.4404, kb_relative_information_score: 135.8051, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8292, predictive_accuracy: 0.8429, prior_entropy: 0.734, recall: 0.8429, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.8418,

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: 0.7347, f_measure: 0.5445, kappa: 0.293, kb_relative_information_score: 292.5175, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5441, predictive_accuracy: 0.5506, prior_entropy: 1.5392, recall: 0.5506, relative_absolute_error: 0.8682, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.9193,

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: 0.7329, f_measure: 0.66, kappa: 0.1281, kb_relative_information_score: 59.4963, mean_absolute_error: 0.3493, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6531, predictive_accuracy: 0.6947, prior_entropy: 0.865, recall: 0.6947, relative_absolute_error: 0.8538, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.9331,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9907, kappa: 0.9188, kb_relative_information_score: 3067.7095, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 0.3333, recall: 0.9907, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.3529,

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: 0.8196, f_measure: 0.8243, kappa: 0.4267, kb_relative_information_score: 137.39, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8244, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.8424,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.8392, kappa: 0.3174, kb_relative_information_score: 178.3959, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8412, predictive_accuracy: 0.863, prior_entropy: 0.622, recall: 0.863, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.8843,

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: 0.7345, f_measure: 0.5482, kappa: 0.2979, kb_relative_information_score: 369.281, mean_absolute_error: 0.3515, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5493, predictive_accuracy: 0.5513, prior_entropy: 1.5392, recall: 0.5513, relative_absolute_error: 0.816, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.9193,

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: 0.9163, f_measure: 0.6728, kappa: 0.5816, kb_relative_information_score: 411.2515, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6779, predictive_accuracy: 0.6753, prior_entropy: 2.2629, recall: 0.6753, relative_absolute_error: 0.5598, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.7331,

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