OpenML

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: 0.5841, f_measure: 0.2065, kappa: 0.0533, kb_relative_information_score: 42.4465, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2162, predictive_accuracy: 0.2183, prior_entropy: 2.5803, recall: 0.2183, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9932,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1323.9334, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0418, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.1415,

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 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: 0.8272, 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 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 kc2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.8294, kappa: 0.4449, kb_relative_information_score: 139.1767, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8293, predictive_accuracy: 0.8429, prior_entropy: 0.734, recall: 0.8429, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.8399,

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 Australian

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8652, kappa: 0.727, kb_relative_information_score: 395.5771, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8652, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.6569,

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 eucalyptus

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.6666, kappa: 0.5742, kb_relative_information_score: 410.3962, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6742, predictive_accuracy: 0.6698, prior_entropy: 2.2629, recall: 0.6698, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.7357,

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 breast-w

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9715, kappa: 0.937, kb_relative_information_score: 595.2058, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9717, predictive_accuracy: 0.9714, prior_entropy: 0.9297, recall: 0.9714, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1655, 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 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 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 wilt

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9811, kappa: 0.806, kb_relative_information_score: 2934.6822, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9813, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.2921, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.502,

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 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 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 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 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,

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 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 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 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 Australian

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8624, kappa: 0.7217, kb_relative_information_score: 426.4377, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8626, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.621,

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: 0.9778, kappa: 0.9756, kb_relative_information_score: 820.4346, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9782, predictive_accuracy: 0.9778, prior_entropy: 3.4594, recall: 0.9778, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.4194,

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 pc4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8953, kappa: 0.476, kb_relative_information_score: 415.998, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8931, predictive_accuracy: 0.904, prior_entropy: 0.5368, recall: 0.904, relative_absolute_error: 0.5729, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.7681,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.981, kappa: 0.9586, kb_relative_information_score: 1621.5945, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9813, predictive_accuracy: 0.9809, prior_entropy: 1.2099, recall: 0.9809, relative_absolute_error: 0.0771, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.249,

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: 0.9995, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 3146.6323, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9986, recall: 0.995, relative_absolute_error: 0.0172, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.061, root_relative_squared_error: 0.1221,

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: 0.9895, kappa: 0.9768, kb_relative_information_score: 789.9416, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.2176, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.149, root_relative_squared_error: 0.3131,

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: 0.9919, f_measure: 0.9671, kappa: 0.9274, kb_relative_information_score: 594.691, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9672, predictive_accuracy: 0.9671, prior_entropy: 0.9297, recall: 0.9671, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3651,

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: 0.9973, f_measure: 0.9839, kappa: 0.8561, kb_relative_information_score: 2335.4319, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9839, predictive_accuracy: 0.9844, prior_entropy: 0.3333, recall: 0.9844, relative_absolute_error: 0.3053, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.107, root_relative_squared_error: 0.4464,

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: 0.8223, f_measure: 0.7562, kappa: 0.4567, kb_relative_information_score: 247.6129, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7553, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6855, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8423,

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: 0.9885, f_measure: 0.9595, kappa: 0.9133, kb_relative_information_score: 486.8499, mean_absolute_error: 0.0727, 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: 0.1554, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.3709,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, kappa: 0.7834, kb_relative_information_score: 260.6417, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8832, prior_entropy: 1.3212, recall: 0.8832, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.6849,

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: 0.7429, f_measure: 0.6778, kappa: 0.1739, kb_relative_information_score: 66.4983, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6748, predictive_accuracy: 0.7101, prior_entropy: 0.865, recall: 0.7101, relative_absolute_error: 0.8461, 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 car

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9833, kappa: 0.9636, kb_relative_information_score: 1629.496, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9836, predictive_accuracy: 0.9832, prior_entropy: 1.2099, recall: 0.9832, relative_absolute_error: 0.0721, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.231,

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: 0.8604, f_measure: 0.9205, kappa: 0.2901, kb_relative_information_score: -277.8072, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9182, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.8884,

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: 0.9994, f_measure: 0.9885, kappa: 0.9745, kb_relative_information_score: 663.9862, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9886, predictive_accuracy: 0.9885, prior_entropy: 0.9312, recall: 0.9885, relative_absolute_error: 0.3744, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.433,

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: 0.9778, kappa: 0.9756, kb_relative_information_score: 820.4346, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9782, predictive_accuracy: 0.9778, prior_entropy: 3.4594, recall: 0.9778, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.4194,

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: 0.5504, kappa: 0.3016, kb_relative_information_score: 357.7131, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5518, predictive_accuracy: 0.5526, prior_entropy: 1.5392, recall: 0.5526, relative_absolute_error: 0.8243, 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 splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9628, kappa: 0.9395, kb_relative_information_score: 2348.2868, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9629, predictive_accuracy: 0.9627, prior_entropy: 1.4804, recall: 0.9627, relative_absolute_error: 0.3558, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.4457,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9706, kappa: 0.9678, kb_relative_information_score: 864.5196, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9708, predictive_accuracy: 0.9707, prior_entropy: 3.4594, recall: 0.9707, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.104, root_relative_squared_error: 0.3617,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9392, kappa: 0.9323, kb_relative_information_score: 1281.1684, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9399, predictive_accuracy: 0.9391, prior_entropy: 3.3218, recall: 0.9391, relative_absolute_error: 0.3469, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.4527,

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: 0.8201, f_measure: 0.8275, kappa: 0.4359, kb_relative_information_score: 138.3799, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8291, predictive_accuracy: 0.8429, prior_entropy: 0.734, recall: 0.8429, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.338, root_relative_squared_error: 0.8372,

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: 0.9245, f_measure: 0.8593, kappa: 0.7149, kb_relative_information_score: 393.6862, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8593, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.4615, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6528,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.9496, kappa: 0.7824, kb_relative_information_score: 2854.9719, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9513, predictive_accuracy: 0.9522, prior_entropy: 0.5883, recall: 0.9522, relative_absolute_error: 0.434, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.5917,

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: 0.951, kappa: 0.7745, kb_relative_information_score: 314.8632, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8784, prior_entropy: 1.3212, recall: 0.8784, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.6351,

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: 0.9883, kappa: 0.896, kb_relative_information_score: 2794.6491, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9884, predictive_accuracy: 0.9886, prior_entropy: 0.3333, recall: 0.9886, relative_absolute_error: 0.197, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.3758,

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: 0.9954, kappa: 0.9931, kb_relative_information_score: 5273.1519, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 0.0522, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.1356,

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: 0.9939, f_measure: 0.9628, kappa: 0.9395, kb_relative_information_score: 2316.6393, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9629, predictive_accuracy: 0.9627, prior_entropy: 1.4804, recall: 0.9627, relative_absolute_error: 0.3691, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.4534,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9459, kappa: 0.94, kb_relative_information_score: 1250.4174, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9463, predictive_accuracy: 0.946, prior_entropy: 3.3218, recall: 0.946, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.4757,

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: 0.9174, f_measure: 0.9535, kappa: 0.8012, kb_relative_information_score: 3143.9023, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9543, predictive_accuracy: 0.9554, prior_entropy: 0.5883, recall: 0.9554, relative_absolute_error: 0.3674, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.5668,

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: 0.9768, kappa: 0.9744, kb_relative_information_score: 820.6272, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9771, predictive_accuracy: 0.9768, prior_entropy: 3.4594, recall: 0.9768, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.121, root_relative_squared_error: 0.4208,

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: 0.9981, f_measure: 0.9894, kappa: 0.9078, kb_relative_information_score: 3106.6524, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.3333, recall: 0.9894, relative_absolute_error: 0.1166, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.3579,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9919, kb_relative_information_score: 10710.2519, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 3.3208, recall: 0.9927, relative_absolute_error: 0.0536, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0457, root_relative_squared_error: 0.1524,

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: 0.7473, f_measure: 0.6384, kappa: 0.0777, kb_relative_information_score: 58.2769, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.7101, prior_entropy: 0.865, recall: 0.7101, relative_absolute_error: 0.8657, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.9227,

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: 0.9946, f_measure: 0.9661, kappa: 0.9449, kb_relative_information_score: 2308.5832, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9661, predictive_accuracy: 0.9661, prior_entropy: 1.4804, recall: 0.9661, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4542,

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: 0.9889, f_measure: 0.9573, kappa: 0.9105, kb_relative_information_score: 3814.4712, mean_absolute_error: 0.0909, 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: 0.1904, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.3837,

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: 0.9669, kappa: 0.9655, kb_relative_information_score: 18408.125, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9671, predictive_accuracy: 0.9669, prior_entropy: 4.6998, recall: 0.9669, relative_absolute_error: 0.1853, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.3258,

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: 0.9949, f_measure: 0.9355, kappa: 0.9247, kb_relative_information_score: 2138.5619, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9357, predictive_accuracy: 0.9355, prior_entropy: 2.8074, recall: 0.9355, relative_absolute_error: 0.1057, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1167, root_relative_squared_error: 0.3335,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9916, kappa: 0.9907, kb_relative_information_score: 10730.0988, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9917, predictive_accuracy: 0.9916, prior_entropy: 3.3208, recall: 0.9916, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0461, root_relative_squared_error: 0.1535,

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: 0.919, f_measure: 0.9278, kappa: 0.2716, kb_relative_information_score: -455.4068, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9334, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.8435,

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: 0.9281, f_measure: 0.739, kappa: 0.6612, kb_relative_information_score: 554.2613, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7346, predictive_accuracy: 0.7459, prior_entropy: 1.9991, recall: 0.7459, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.6381,

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: 0.978, kappa: 0.9756, kb_relative_information_score: 1746.4713, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9782, predictive_accuracy: 0.978, prior_entropy: 3.3219, recall: 0.978, relative_absolute_error: 0.2421, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1026, 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 pendigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9914, kappa: 0.9905, kb_relative_information_score: 10725.9343, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9915, predictive_accuracy: 0.9914, prior_entropy: 3.3208, recall: 0.9914, relative_absolute_error: 0.0491, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1544,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.991, kappa: 0.99, kb_relative_information_score: 10725.839, mean_absolute_error: 0.0088, 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: 0.0489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0466, root_relative_squared_error: 0.1553,

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: 0.9924, f_measure: 0.9179, kappa: 0.901, kb_relative_information_score: 5576.422, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9182, predictive_accuracy: 0.9201, prior_entropy: 2.4836, recall: 0.9201, relative_absolute_error: 0.1908, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.3964,

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: 0.9909, f_measure: 0.9849, kappa: 0.8499, kb_relative_information_score: 3174.4492, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9848, predictive_accuracy: 0.9851, prior_entropy: 0.3037, recall: 0.9851, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.476,

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: 0.9929, kappa: 0.9921, kb_relative_information_score: 10684.5905, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 3.3208, recall: 0.9929, relative_absolute_error: 0.0585, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0475, root_relative_squared_error: 0.1582,

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: 0.9603, kappa: 0.9586, kb_relative_information_score: 18115.2429, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9606, predictive_accuracy: 0.9602, prior_entropy: 4.6998, recall: 0.9602, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.3561,

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: 0.9915, f_measure: 0.9556, kappa: 0.9017, kb_relative_information_score: 596.9102, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9556, predictive_accuracy: 0.9557, prior_entropy: 0.9297, recall: 0.9557, relative_absolute_error: 0.1571, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3746,

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: 0.7251, f_measure: 0.7405, kappa: 0.237, kb_relative_information_score: 88.2957, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7373, predictive_accuracy: 0.7687, prior_entropy: 0.7928, recall: 0.7687, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4, root_relative_squared_error: 0.9394,

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: 0.9989, f_measure: 0.9765, kappa: 0.9488, kb_relative_information_score: 1586.6026, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9771, predictive_accuracy: 0.9763, prior_entropy: 1.2099, recall: 0.9763, relative_absolute_error: 0.1053, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.2845,

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: 0.9619, kappa: 0.9604, kb_relative_information_score: 18572.8055, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9621, predictive_accuracy: 0.9619, prior_entropy: 4.6998, recall: 0.9619, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.3145,

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: 0.7465, f_measure: 0.6611, kappa: 0.1313, kb_relative_information_score: 59.921, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6774, predictive_accuracy: 0.7187, prior_entropy: 0.865, recall: 0.7187, relative_absolute_error: 0.8631, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.923,

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: 0.9376, kappa: 0.9273, kb_relative_information_score: 2116.0699, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9378, predictive_accuracy: 0.9377, prior_entropy: 2.8074, recall: 0.9377, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.3321,

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: 0.9991, f_measure: 0.975, kappa: 0.9722, kb_relative_information_score: 1845.4037, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.1441, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.2744,

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: 0.9915, kappa: 0.9906, kb_relative_information_score: 10620.1906, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9916, predictive_accuracy: 0.9915, prior_entropy: 3.3208, recall: 0.9915, relative_absolute_error: 0.0713, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.171,

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: 931.0242, mean_absolute_error: 0.0585, 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: 0.2676, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.3361,

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: 0.9896, f_measure: 0.9575, kappa: 0.9107, kb_relative_information_score: 3639.1703, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9577, predictive_accuracy: 0.9576, prior_entropy: 0.9674, recall: 0.9576, relative_absolute_error: 0.2378, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4027,

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: 1, f_measure: 0.9972, kappa: 0.9958, kb_relative_information_score: 5401.3504, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 1.7151, recall: 0.9973, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0364, root_relative_squared_error: 0.0894,

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: 0.9937, f_measure: 0.9729, kappa: 0.9452, kb_relative_information_score: 10267.9736, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.9906, recall: 0.973, relative_absolute_error: 0.0756, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.2759,

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: 0.6276, f_measure: 0.5815, kappa: 0.1408, kb_relative_information_score: 35.9696, mean_absolute_error: 0.4564, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5894, predictive_accuracy: 0.602, prior_entropy: 0.9816, recall: 0.602, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4829, root_relative_squared_error: 0.9785,

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: 0.9777, kappa: 0.9756, kb_relative_information_score: 831.4261, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9782, predictive_accuracy: 0.9778, prior_entropy: 3.4594, recall: 0.9778, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.116, root_relative_squared_error: 0.4034,

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: 0.9928, f_measure: 0.9176, kappa: 0.9005, kb_relative_information_score: 5621.0103, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9176, predictive_accuracy: 0.9196, prior_entropy: 2.4836, recall: 0.9196, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.3894,

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: 0.992, f_measure: 0.9834, kappa: 0.8337, kb_relative_information_score: 3135.6839, mean_absolute_error: 0.0249, 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: 0.2434, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.4772,

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: 0.9339, f_measure: 0.8725, kappa: 0.7421, kb_relative_information_score: 423.9567, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8727, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.4154, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6214,

Sign in

Filter results by: