OpenML

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: 0.8553, f_measure: 0.9213, kappa: 0.3018, kb_relative_information_score: -274.8908, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9186, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.7832, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.9017,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5579, f_measure: 0.1898, kappa: 0.0309, kb_relative_information_score: 63.6393, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1886, predictive_accuracy: 0.1957, prior_entropy: 2.5803, recall: 0.1957, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3762, root_relative_squared_error: 1.0101,

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: 0.9935, f_measure: 0.9592, kappa: 0.9336, kb_relative_information_score: 2479.7756, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9594, predictive_accuracy: 0.9592, prior_entropy: 1.48, recall: 0.9592, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.4144,

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: 0.8734, f_measure: 0.6175, kappa: 0.4938, kb_relative_information_score: 2674.4314, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6131, predictive_accuracy: 0.6309, prior_entropy: 2.3005, recall: 0.6309, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.8146,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.8175, kappa: 0.4039, kb_relative_information_score: 139.8862, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.817, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6751, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.838,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.991, kappa: 0.99, kb_relative_information_score: 10744.7055, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 3.3208, recall: 0.991, relative_absolute_error: 0.0451, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0454, root_relative_squared_error: 0.1513,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.7862, kappa: 0.2452, kb_relative_information_score: 895.4805, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7937, predictive_accuracy: 0.8219, prior_entropy: 0.7088, recall: 0.8219, relative_absolute_error: 0.8256, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9185,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.8236, kappa: 0.4268, kb_relative_information_score: 136.7884, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8224, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.8501,

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: 0.7194, f_measure: 0.7452, kappa: 0.2535, kb_relative_information_score: 91.2873, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7412, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8353, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.9477,

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: 0.8336, f_measure: 0.8366, kappa: 0.3108, kb_relative_information_score: 184.9258, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8351, predictive_accuracy: 0.8587, prior_entropy: 0.622, recall: 0.8587, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.8812,

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: 0.995, f_measure: 0.9367, kappa: 0.9263, kb_relative_information_score: 2090.3774, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9367, predictive_accuracy: 0.9368, prior_entropy: 2.8074, recall: 0.9368, relative_absolute_error: 0.1506, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.3434,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.87, kappa: 0.74, kb_relative_information_score: 1285.7524, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8701, predictive_accuracy: 0.87, prior_entropy: 1, recall: 0.87, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.6677,

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: 0.8254, f_measure: 0.7604, kappa: 0.4647, kb_relative_information_score: 250.4417, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7601, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6841, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8381,

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: 640.7121, mean_absolute_error: 0.1209, 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: 0.3515, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1679, 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 spambase

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9564, kappa: 0.9086, kb_relative_information_score: 3772.1615, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9565, predictive_accuracy: 0.9565, prior_entropy: 0.9674, recall: 0.9565, relative_absolute_error: 0.2013, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.3914,

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: 0.849, f_measure: 0.9214, kappa: 0.3093, kb_relative_information_score: -253.5046, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.918, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.7749, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.9115,

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: 0.9677, kappa: 0.9474, kb_relative_information_score: 2372.6186, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9677, predictive_accuracy: 0.9677, prior_entropy: 1.4804, recall: 0.9677, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4344,

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: 0.9901, kappa: 0.9138, kb_relative_information_score: 3055.4956, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9901, predictive_accuracy: 0.9902, prior_entropy: 0.3333, recall: 0.9902, relative_absolute_error: 0.1236, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.348,

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: 0.9615, f_measure: 0.7077, kappa: 0.6767, kb_relative_information_score: 1490.1933, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7102, predictive_accuracy: 0.709, prior_entropy: 3.3219, recall: 0.709, relative_absolute_error: 0.3907, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.627,

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: 0.9951, f_measure: 0.9354, kappa: 0.9247, kb_relative_information_score: 2132.5607, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9356, predictive_accuracy: 0.9355, prior_entropy: 2.8074, recall: 0.9355, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1167, root_relative_squared_error: 0.3336,

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: 0.9992, f_measure: 0.9925, kappa: 0.985, kb_relative_information_score: 2986.9753, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 0.9986, recall: 0.9925, relative_absolute_error: 0.0801, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.093, root_relative_squared_error: 0.1861,

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: 0.9953, kappa: 0.9906, kb_relative_information_score: 3134.5464, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.9986, recall: 0.9953, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0625, root_relative_squared_error: 0.1251,

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: 0.9997, f_measure: 0.9947, kappa: 0.9893, kb_relative_information_score: 3094.8904, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.9986, recall: 0.9947, relative_absolute_error: 0.0376, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0725, root_relative_squared_error: 0.1452,

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: 0.968, kappa: 0.948, kb_relative_information_score: 2388.0387, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 1.4804, recall: 0.968, relative_absolute_error: 0.3396, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.4304,

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: 0.9948, f_measure: 0.9655, kappa: 0.9439, kb_relative_information_score: 2331.7042, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 1.4804, recall: 0.9655, relative_absolute_error: 0.3632, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4448,

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: 0.9952, kappa: 0.9928, kb_relative_information_score: 5259.6752, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 0.0561, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0571, root_relative_squared_error: 0.1403,

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: 0.6339, f_measure: 0.5747, kappa: 0.1468, kb_relative_information_score: 28.0435, mean_absolute_error: 0.4649, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6102, predictive_accuracy: 0.616, prior_entropy: 0.9816, recall: 0.616, relative_absolute_error: 0.9541, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4798, root_relative_squared_error: 0.9721,

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: 0.9948, f_measure: 0.9367, kappa: 0.9263, kb_relative_information_score: 2130.042, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9369, predictive_accuracy: 0.9368, prior_entropy: 2.8074, recall: 0.9368, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1172, root_relative_squared_error: 0.335,

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: 0.9961, f_measure: 0.9358, kappa: 0.9253, kb_relative_information_score: 2131.3537, mean_absolute_error: 0.0289, 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: 0.1181, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.3225,

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: 0.8899, f_measure: 0.9267, kappa: 0.4708, kb_relative_information_score: 91.295, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9294, predictive_accuracy: 0.937, prior_entropy: 0.4254, recall: 0.937, relative_absolute_error: 0.6079, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.7742,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9788, kappa: 0.9766, kb_relative_information_score: 5274.1594, mean_absolute_error: 0.0136, 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: 0.0822, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.2133,

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: 0.9162, f_measure: 0.9248, kappa: 0.2408, kb_relative_information_score: -491.6756, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9276, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7442, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.206, root_relative_squared_error: 0.847,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9665, kappa: 0.9456, kb_relative_information_score: 2483.9457, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9666, predictive_accuracy: 0.9665, prior_entropy: 1.4804, recall: 0.9665, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.4023,

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: 0.9275, f_measure: 0.9236, kappa: 0.4538, kb_relative_information_score: 99.7695, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9237, predictive_accuracy: 0.9333, prior_entropy: 0.4254, recall: 0.9333, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.7877,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9815, kappa: 0.9796, kb_relative_information_score: 5246.595, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9816, predictive_accuracy: 0.9815, prior_entropy: 3.4594, recall: 0.9815, relative_absolute_error: 0.0956, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0622, root_relative_squared_error: 0.2165,

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: 0.981, kappa: 0.979, kb_relative_information_score: 5234.6842, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9811, predictive_accuracy: 0.9809, prior_entropy: 3.4594, recall: 0.9809, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0637, root_relative_squared_error: 0.2216,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 759.0998, mean_absolute_error: 0.1164, 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: 0.257, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.342,

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: 0.8788, f_measure: 0.7899, kappa: 0.5808, kb_relative_information_score: 632.5797, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7932, predictive_accuracy: 0.7904, prior_entropy: 1, recall: 0.7904, relative_absolute_error: 0.7993, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8342,

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: 0.9087, f_measure: 0.6607, kappa: 0.5684, kb_relative_information_score: 369.9626, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6749, predictive_accuracy: 0.6671, prior_entropy: 2.2629, recall: 0.6671, relative_absolute_error: 0.6242, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.7564,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9941, kappa: 0.9881, kb_relative_information_score: 3082.1784, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.9986, recall: 0.9941, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.1565,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8683, kappa: 0.7336, kb_relative_information_score: 407.5389, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8686, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6314,

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: 0.9941, f_measure: 0.9571, kappa: 0.9302, kb_relative_information_score: 2502.3465, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9573, predictive_accuracy: 0.957, prior_entropy: 1.48, recall: 0.957, relative_absolute_error: 0.2856, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.4069,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9655, kappa: 0.9617, kb_relative_information_score: 1656.1046, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9657, predictive_accuracy: 0.9655, prior_entropy: 3.3219, recall: 0.9655, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.4092,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9573, kappa: 0.9104, kb_relative_information_score: 3700.759, mean_absolute_error: 0.1056, 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: 0.2211, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.3956,

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: 0.9403, f_measure: 0.8983, kappa: 0.491, kb_relative_information_score: 418.4109, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8965, predictive_accuracy: 0.9067, prior_entropy: 0.5368, recall: 0.9067, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.7594,

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: 0.9065, f_measure: 0.929, kappa: 0.2972, kb_relative_information_score: -554.9319, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9298, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7472, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8511,

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: 0.9987, f_measure: 0.9553, kappa: 0.9511, kb_relative_information_score: 769.8192, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9556, predictive_accuracy: 0.9556, prior_entropy: 3.4594, recall: 0.9556, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.4979,

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: 0.8292, f_measure: 0.8388, kappa: 0.3132, kb_relative_information_score: 182.9395, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8427, predictive_accuracy: 0.8639, prior_entropy: 0.622, recall: 0.8639, relative_absolute_error: 0.7652, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.319, root_relative_squared_error: 0.8825,

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: 0.7257, f_measure: 0.7443, kappa: 0.2501, kb_relative_information_score: 91.0093, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7406, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8414, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.9352,

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: 0.9307, f_measure: 0.7431, kappa: 0.6643, kb_relative_information_score: 568.3966, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7397, predictive_accuracy: 0.7482, prior_entropy: 1.9991, recall: 0.7482, relative_absolute_error: 0.4053, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2709, root_relative_squared_error: 0.6257,

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: 0.9935, f_measure: 0.9518, kappa: 0.9215, kb_relative_information_score: 2512.3739, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9519, predictive_accuracy: 0.9517, prior_entropy: 1.48, recall: 0.9517, relative_absolute_error: 0.2807, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.4076,

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: 0.9203, kappa: 0.9041, kb_relative_information_score: 5594.5828, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9208, predictive_accuracy: 0.9226, prior_entropy: 2.4836, recall: 0.9226, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1435, 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 ilpd

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.6309, kappa: 0.0613, kb_relative_information_score: 55.1097, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6466, predictive_accuracy: 0.7084, prior_entropy: 0.865, recall: 0.7084, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9254,

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: 0.86, f_measure: 0.9213, kappa: 0.3018, kb_relative_information_score: -255.1816, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9186, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.8928,

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: 0.9347, f_measure: 0.8688, kappa: 0.7377, kb_relative_information_score: 1300.1397, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8689, predictive_accuracy: 0.8688, prior_entropy: 1, recall: 0.8688, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6635,

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: 0.9808, kappa: 0.9788, kb_relative_information_score: 5245.5578, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9809, predictive_accuracy: 0.9807, prior_entropy: 3.4594, recall: 0.9807, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.2182,

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: 0.9897, f_measure: 0.9586, kappa: 0.9086, kb_relative_information_score: 594.7801, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9588, predictive_accuracy: 0.9585, prior_entropy: 0.9297, recall: 0.9585, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.3901,

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: 0.9038, f_measure: 0.68, kappa: 0.5862, kb_relative_information_score: 4554.4562, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6943, predictive_accuracy: 0.6901, prior_entropy: 2.1936, recall: 0.6901, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3, root_relative_squared_error: 0.7665,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.8435, kappa: 0.8267, kb_relative_information_score: 1611.1267, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8436, predictive_accuracy: 0.844, prior_entropy: 3.3219, recall: 0.844, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.5084,

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: 0.9992, f_measure: 0.9959, kappa: 0.9918, kb_relative_information_score: 3141.9851, mean_absolute_error: 0.0095, 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: 0.0191, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.061, root_relative_squared_error: 0.1222,

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: 0.9932, f_measure: 0.9729, kappa: 0.9402, kb_relative_information_score: 594.904, mean_absolute_error: 0.0763, 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: 0.1689, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.3481,

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: 0.7918, f_measure: 0.7332, kappa: 0.3381, kb_relative_information_score: 182.5175, mean_absolute_error: 0.3417, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7448, predictive_accuracy: 0.758, prior_entropy: 0.8818, recall: 0.758, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8828,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9729, kappa: 0.9402, kb_relative_information_score: 603.9468, mean_absolute_error: 0.0684, 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: 0.1514, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.344,

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: 1852.2994, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9765, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.1377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.2683,

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: 0.9976, f_measure: 0.948, kappa: 0.9421, kb_relative_information_score: 1284.1777, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9484, predictive_accuracy: 0.9479, prior_entropy: 3.3218, recall: 0.9479, relative_absolute_error: 0.346, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.4471,

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: 0.9337, f_measure: 0.8681, kappa: 0.7362, kb_relative_information_score: 1280.7978, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8682, predictive_accuracy: 0.8681, prior_entropy: 1, recall: 0.8681, relative_absolute_error: 0.5549, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6681,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9926, kappa: 0.9915, kb_relative_information_score: 951.6895, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9927, predictive_accuracy: 0.9926, prior_entropy: 2.9931, recall: 0.9926, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0998, root_relative_squared_error: 0.302,

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: 0.9289, f_measure: 0.7232, kappa: 0.6423, kb_relative_information_score: 553.6948, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7186, predictive_accuracy: 0.7317, prior_entropy: 1.9991, recall: 0.7317, relative_absolute_error: 0.4303, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.6336,

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: 0.9868, f_measure: 0.949, kappa: 0.893, kb_relative_information_score: 3700.6151, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9491, predictive_accuracy: 0.9491, prior_entropy: 0.9674, recall: 0.9491, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.4077,

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: 0.7326, f_measure: 0.5472, kappa: 0.2962, kb_relative_information_score: 366.7754, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5485, predictive_accuracy: 0.5506, prior_entropy: 1.5392, recall: 0.5506, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.9197,

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: 0.9098, f_measure: 0.6507, kappa: 0.553, kb_relative_information_score: 412.937, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6545, predictive_accuracy: 0.6522, prior_entropy: 2.2629, recall: 0.6522, relative_absolute_error: 0.5515, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.7447,

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: 0.9966, f_measure: 0.9734, kappa: 0.946, kb_relative_information_score: 9814.2739, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9734, predictive_accuracy: 0.9734, prior_entropy: 0.9906, recall: 0.9734, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.2941,

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: 0.8399, f_measure: 0.8649, kappa: 0.1339, kb_relative_information_score: -254.2818, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8613, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.9169,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9635, kappa: 0.9594, kb_relative_information_score: 1554.6901, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9637, predictive_accuracy: 0.9635, prior_entropy: 3.3219, recall: 0.9635, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.4737,

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: 0.935, f_measure: 0.8637, kappa: 0.7238, kb_relative_information_score: 371.4504, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8636, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4992, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.324, root_relative_squared_error: 0.652,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.7491, kappa: 0.3797, kb_relative_information_score: 185.3346, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7547, predictive_accuracy: 0.767, prior_entropy: 0.8818, recall: 0.767, relative_absolute_error: 0.8054, 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 wdbc

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9613, kappa: 0.917, kb_relative_information_score: 484.7504, mean_absolute_error: 0.0754, 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: 0.1613, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3676,

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: 0.7373, f_measure: 0.6612, kappa: 0.1306, kb_relative_information_score: 61.5442, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6557, predictive_accuracy: 0.6981, prior_entropy: 0.865, recall: 0.6981, relative_absolute_error: 0.8536, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.9329,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8692, kappa: 0.7385, kb_relative_information_score: 1240.9622, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8693, predictive_accuracy: 0.8692, prior_entropy: 1, recall: 0.8692, relative_absolute_error: 0.5717, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.338, 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 splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9665, kappa: 0.9455, kb_relative_information_score: 2377.6826, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9665, predictive_accuracy: 0.9665, prior_entropy: 1.4804, recall: 0.9665, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.195, root_relative_squared_error: 0.4306,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7863, kappa: 0.2457, kb_relative_information_score: 774.1881, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7935, predictive_accuracy: 0.8218, prior_entropy: 0.7088, recall: 0.8218, relative_absolute_error: 0.8333, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9204,

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: 0.745, f_measure: 0.6747, kappa: 0.1686, kb_relative_information_score: 66.839, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6683, predictive_accuracy: 0.7015, prior_entropy: 0.865, recall: 0.7015, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.9265,

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: 0.8818, f_measure: 0.8104, kappa: 0.6178, kb_relative_information_score: 1647.7622, mean_absolute_error: 0.2957, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8105, predictive_accuracy: 0.8107, prior_entropy: 0.9948, recall: 0.8107, relative_absolute_error: 0.5956, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7479,

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: 0.8203, f_measure: 0.8354, kappa: 0.2978, kb_relative_information_score: 139.8487, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8387, predictive_accuracy: 0.8615, prior_entropy: 0.622, recall: 0.8615, relative_absolute_error: 0.7755, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.8943,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5559, f_measure: 0.2006, kappa: 0.0439, kb_relative_information_score: 48.3168, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2081, predictive_accuracy: 0.2095, prior_entropy: 2.5803, recall: 0.2095, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3773, root_relative_squared_error: 1.013,

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: 0.8281, f_measure: 0.8358, kappa: 0.3012, kb_relative_information_score: 187.8245, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.838, predictive_accuracy: 0.8611, prior_entropy: 0.622, recall: 0.8611, relative_absolute_error: 0.7618, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.8832,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.7381, kappa: 0.6596, kb_relative_information_score: 552.9857, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7338, predictive_accuracy: 0.7447, prior_entropy: 1.9991, recall: 0.7447, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.6337,

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: 0.905, f_measure: 0.9293, kappa: 0.299, kb_relative_information_score: -577.9566, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9306, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.8554,

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: 0.8411, f_measure: 0.8606, kappa: 0.092, kb_relative_information_score: -256.6065, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8643, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2783, 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 cmc

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.5319, kappa: 0.2731, kb_relative_information_score: 268.2041, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5331, predictive_accuracy: 0.5411, prior_entropy: 1.5392, recall: 0.5411, relative_absolute_error: 0.8835, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.429, root_relative_squared_error: 0.9244,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5542, f_measure: 0.1951, kappa: 0.0379, kb_relative_information_score: 48.592, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2024, predictive_accuracy: 0.2045, prior_entropy: 2.5803, recall: 0.2045, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3774, root_relative_squared_error: 1.0134,

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: 0.9979, f_measure: 0.9869, kappa: 0.8837, kb_relative_information_score: 2660.0834, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.987, predictive_accuracy: 0.9873, prior_entropy: 0.3333, recall: 0.9873, relative_absolute_error: 0.2174, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0951, 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 credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7393, kappa: 0.3541, kb_relative_information_score: 197.9755, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7479, predictive_accuracy: 0.761, prior_entropy: 0.8818, recall: 0.761, relative_absolute_error: 0.7959, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8838,

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: 0.9959, f_measure: 0.9389, kappa: 0.9288, kb_relative_information_score: 2124.5883, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9391, predictive_accuracy: 0.939, prior_entropy: 2.8074, recall: 0.939, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.3265,

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: 0.7076, kappa: 0.6767, kb_relative_information_score: 1485.763, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7096, predictive_accuracy: 0.709, prior_entropy: 3.3219, recall: 0.709, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6286,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9708, kappa: 0.9696, kb_relative_information_score: 18616.5614, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9709, predictive_accuracy: 0.9708, prior_entropy: 4.6998, recall: 0.9708, relative_absolute_error: 0.1628, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0582, root_relative_squared_error: 0.3029,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9786, kappa: 0.9764, kb_relative_information_score: 5221.2055, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.4594, recall: 0.9785, relative_absolute_error: 0.1028, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0666, root_relative_squared_error: 0.2318,

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: 0.8231, f_measure: 0.8336, kappa: 0.2938, kb_relative_information_score: 180.8028, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8336, predictive_accuracy: 0.8582, prior_entropy: 0.622, recall: 0.8582, relative_absolute_error: 0.7658, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.8869,

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: 0.9908, f_measure: 0.8987, kappa: 0.8854, kb_relative_information_score: 950.5697, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8998, predictive_accuracy: 0.8981, prior_entropy: 3.1699, recall: 0.8981, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1273, root_relative_squared_error: 0.4049,

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