OpenML

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: 0.9935, f_measure: 0.918, kappa: 0.9073, kb_relative_information_score: 929.5547, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9191, predictive_accuracy: 0.9176, prior_entropy: 3.1699, recall: 0.9176, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.3975,

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: 0.9926, kappa: 0.9918, kb_relative_information_score: 10684.6483, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9927, predictive_accuracy: 0.9926, prior_entropy: 3.3208, recall: 0.9926, relative_absolute_error: 0.0584, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0475, root_relative_squared_error: 0.1583,

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: 0.9222, f_measure: 0.8365, kappa: 0.6628, kb_relative_information_score: 254.0983, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8416, predictive_accuracy: 0.8389, prior_entropy: 0.9826, recall: 0.8389, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6972,

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: 0.9307, f_measure: 0.8581, kappa: 0.713, kb_relative_information_score: 422.9062, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8584, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.4125, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.314, root_relative_squared_error: 0.6317,

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: 0.7588, f_measure: 0.782, kappa: 0.2276, kb_relative_information_score: 857.8015, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7936, predictive_accuracy: 0.8216, prior_entropy: 0.7088, recall: 0.8216, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9187,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9829, kappa: 0.981, kb_relative_information_score: 5190.1417, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.983, predictive_accuracy: 0.9829, prior_entropy: 3.3218, recall: 0.9829, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.2627,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9834, kappa: 0.9816, kb_relative_information_score: 5275.2507, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9835, predictive_accuracy: 0.9835, prior_entropy: 3.3218, recall: 0.9835, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0716, root_relative_squared_error: 0.2385,

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: 0.9059, f_measure: 0.6598, kappa: 0.5683, kb_relative_information_score: 377.5043, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6757, predictive_accuracy: 0.6671, prior_entropy: 2.2629, recall: 0.6671, relative_absolute_error: 0.6109, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.7572,

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: 0.9852, f_measure: 0.9835, kappa: 0.8362, kb_relative_information_score: 3186.1533, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9833, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.2296, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.113, root_relative_squared_error: 0.5,

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: 0.8388, f_measure: 0.8666, kappa: 0.1406, kb_relative_information_score: -248.776, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8679, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 0.8316, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.9142,

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: 0.8085, f_measure: 0.8303, kappa: 0.4493, kb_relative_information_score: 139.1883, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8296, predictive_accuracy: 0.8429, prior_entropy: 0.734, recall: 0.8429, relative_absolute_error: 0.6714, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.843,

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: 0.9844, f_measure: 0.8416, kappa: 0.825, kb_relative_information_score: 1561.5343, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8414, predictive_accuracy: 0.8425, prior_entropy: 3.3219, recall: 0.8425, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.5245,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.965, kappa: 0.9611, kb_relative_information_score: 1640.881, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9652, predictive_accuracy: 0.965, prior_entropy: 3.3219, recall: 0.965, relative_absolute_error: 0.3298, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.4185,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.858, kappa: 0.6792, kb_relative_information_score: 589.0111, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.858, predictive_accuracy: 0.8597, prior_entropy: 0.9226, recall: 0.8597, relative_absolute_error: 0.4602, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6567,

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: 0.9959, f_measure: 0.9266, kappa: 0.9184, kb_relative_information_score: 1265.4911, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9275, predictive_accuracy: 0.9266, prior_entropy: 3.3218, recall: 0.9266, relative_absolute_error: 0.3556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.4708,

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: 0.9867, f_measure: 0.9534, kappa: 0.9023, kb_relative_information_score: 3852.8387, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9534, predictive_accuracy: 0.9535, prior_entropy: 0.9674, recall: 0.9535, relative_absolute_error: 0.1775, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.192, root_relative_squared_error: 0.393,

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: 0.9959, f_measure: 0.9915, kappa: 0.9256, kb_relative_information_score: 3017.3025, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9915, predictive_accuracy: 0.9915, prior_entropy: 0.3333, recall: 0.9915, relative_absolute_error: 0.1293, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.3632,

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: 0.8631, f_measure: 0.9242, kappa: 0.3319, kb_relative_information_score: -263.23, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9221, predictive_accuracy: 0.936, prior_entropy: 0.3667, recall: 0.936, relative_absolute_error: 0.7797, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.8956,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.917, kappa: 0.8999, kb_relative_information_score: 5616.5767, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.917, predictive_accuracy: 0.9191, prior_entropy: 2.4836, recall: 0.9191, relative_absolute_error: 0.1814, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.3907,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.6497, kappa: 0.5557, kb_relative_information_score: 373.6555, mean_absolute_error: 0.1932, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.661, predictive_accuracy: 0.6576, prior_entropy: 2.2629, recall: 0.6576, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.756,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1313.1229, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0796, root_relative_squared_error: 0.1602,

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: 0.8249, f_measure: 0.7539, kappa: 0.4503, kb_relative_information_score: 244.8963, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7533, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6918, 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 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: 1310.052, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.158,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5389.0464, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1.7151, recall: 0.9965, relative_absolute_error: 0.0174, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0389, root_relative_squared_error: 0.0956,

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: 0.9296, f_measure: 0.7379, kappa: 0.6596, kb_relative_information_score: 552.3021, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7337, predictive_accuracy: 0.7447, prior_entropy: 1.9991, recall: 0.7447, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.6324,

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: 0.8473, f_measure: 0.8731, kappa: 0.1934, kb_relative_information_score: -168.9592, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8728, predictive_accuracy: 0.9002, prior_entropy: 0.478, recall: 0.9002, relative_absolute_error: 0.801, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.272, root_relative_squared_error: 0.8974,

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: 0.9695, kappa: 0.9683, kb_relative_information_score: 18600.7811, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9697, predictive_accuracy: 0.9695, prior_entropy: 4.6998, recall: 0.9695, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0587, root_relative_squared_error: 0.3055,

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: 0.8261, f_measure: 0.7562, kappa: 0.4553, kb_relative_information_score: 243.1466, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.756, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8384,

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: 0.8177, f_measure: 0.8199, kappa: 0.4228, kb_relative_information_score: 136.1573, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8162, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.6721, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.8417,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1317.8681, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0466, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.1551,

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: 0.9269, f_measure: 0.7272, kappa: 0.6454, kb_relative_information_score: 554.6504, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7228, predictive_accuracy: 0.734, prior_entropy: 1.9991, recall: 0.734, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.277, root_relative_squared_error: 0.6399,

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: 0.8454, f_measure: 0.8645, kappa: 0.1281, kb_relative_information_score: -214.8608, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8622, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.824, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.9097,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8738, kappa: 0.2, kb_relative_information_score: -188.1443, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8731, predictive_accuracy: 0.9002, prior_entropy: 0.478, recall: 0.9002, relative_absolute_error: 0.8032, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.8971,

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: 0.9937, f_measure: 0.9552, kappa: 0.9271, kb_relative_information_score: 2477.2635, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9554, predictive_accuracy: 0.9551, prior_entropy: 1.48, recall: 0.9551, relative_absolute_error: 0.2964, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.4145,

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: 0.9676, kappa: 0.9663, kb_relative_information_score: 18578.6312, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9678, predictive_accuracy: 0.9676, prior_entropy: 4.6998, recall: 0.9676, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.3084,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.7685, kappa: 0.7444, kb_relative_information_score: 1453.0042, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7681, predictive_accuracy: 0.77, prior_entropy: 3.3219, recall: 0.77, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.626,

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: 0.9971, f_measure: 0.9449, kappa: 0.9386, kb_relative_information_score: 1235.741, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9458, predictive_accuracy: 0.9448, prior_entropy: 3.3218, recall: 0.9448, relative_absolute_error: 0.3941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.4853,

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: 0.9847, f_measure: 0.8448, kappa: 0.8283, kb_relative_information_score: 1579.3823, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8451, predictive_accuracy: 0.8455, prior_entropy: 3.3219, recall: 0.8455, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.155, root_relative_squared_error: 0.5167,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9656, kappa: 0.9642, kb_relative_information_score: 17879.4164, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.966, predictive_accuracy: 0.9656, prior_entropy: 4.6998, recall: 0.9656, relative_absolute_error: 0.2419, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0717, root_relative_squared_error: 0.3729,

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: 0.9874, f_measure: 0.9565, kappa: 0.9087, kb_relative_information_score: 3823.3079, mean_absolute_error: 0.0893, 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: 0.187, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.3879,

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: 0.9652, kappa: 0.9434, kb_relative_information_score: 2310.1879, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 1.4804, recall: 0.9652, relative_absolute_error: 0.3718, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4505,

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: 0.964, kappa: 0.9415, kb_relative_information_score: 2476.0203, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9641, predictive_accuracy: 0.9639, prior_entropy: 1.4804, recall: 0.9639, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.4051,

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: 1312.751, mean_absolute_error: 0.0257, 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: 0.052, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.1519,

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: 0.7812, kappa: 0.226, kb_relative_information_score: 730.2879, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7891, predictive_accuracy: 0.8194, prior_entropy: 0.7088, recall: 0.8194, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.92,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9131, kappa: 0.7897, kb_relative_information_score: 3488.6095, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9129, predictive_accuracy: 0.9134, prior_entropy: 0.8733, recall: 0.9134, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5659,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9781, kappa: 0.9525, kb_relative_information_score: 1613.44, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9786, predictive_accuracy: 0.978, prior_entropy: 1.2099, recall: 0.978, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.2625,

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: 0.8568, f_measure: 0.9198, kappa: 0.2864, kb_relative_information_score: -281.1591, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9168, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.7805, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.8973,

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: 0.9707, kappa: 0.9678, kb_relative_information_score: 846.8285, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9711, predictive_accuracy: 0.9707, prior_entropy: 3.4594, recall: 0.9707, relative_absolute_error: 0.2952, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.3859,

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: 0.9905, f_measure: 0.9647, kappa: 0.9244, kb_relative_information_score: 486.6484, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.953, recall: 0.9649, relative_absolute_error: 0.1584, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3595,

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: 0.9949, kappa: 0.9897, kb_relative_information_score: 1324.2978, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 0.9912, recall: 0.9949, relative_absolute_error: 0.0414, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.1456,

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: 0.9922, f_measure: 0.9595, kappa: 0.9131, kb_relative_information_score: 484.0375, mean_absolute_error: 0.0765, 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: 0.1636, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.3638,

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: 0.9089, f_measure: 0.6857, kappa: 0.5933, kb_relative_information_score: 4749.2458, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6977, predictive_accuracy: 0.6949, prior_entropy: 2.1936, recall: 0.6949, relative_absolute_error: 0.6393, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.7556,

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: 0.8564, f_measure: 0.9208, kappa: 0.3056, kb_relative_information_score: -284.1988, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9169, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.7853, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.229, root_relative_squared_error: 0.9009,

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: 0.9969, kappa: 0.9953, kb_relative_information_score: 5382.5883, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 1.7151, recall: 0.9969, relative_absolute_error: 0.0192, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0402, root_relative_squared_error: 0.0988,

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

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

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, kappa: 0.8071, kb_relative_information_score: 270.275, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.896, prior_entropy: 1.3212, recall: 0.896, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.6742,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.6739, kappa: 0.5823, kb_relative_information_score: 416.2927, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6801, predictive_accuracy: 0.6753, prior_entropy: 2.2629, recall: 0.6753, relative_absolute_error: 0.5465, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.7425,

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

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

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.6632, kappa: 0.5734, kb_relative_information_score: 372.3736, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.677, predictive_accuracy: 0.6712, prior_entropy: 2.2629, recall: 0.6712, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.7576,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8072, kappa: 0.6112, kb_relative_information_score: 1539.8087, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8073, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7555,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1304.6143, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.9912, recall: 0.9942, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.1599,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.8651, kappa: 0.7267, kb_relative_information_score: 374.0854, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8651, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4932, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6647,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set 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: 0.5536, f_measure: 0.207, kappa: 0.0467, kb_relative_information_score: 83.7938, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2073, predictive_accuracy: 0.207, prior_entropy: 2.5803, recall: 0.207, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.383, root_relative_squared_error: 1.0284,

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

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

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9944, kappa: 0.9887, kb_relative_information_score: 3088.6152, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.9986, recall: 0.9944, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.1516,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.988, kappa: 0.9862, kb_relative_information_score: 918.7392, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9882, predictive_accuracy: 0.988, prior_entropy: 2.9931, recall: 0.988, relative_absolute_error: 0.2837, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.3637,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.8933, kappa: 0.4616, kb_relative_information_score: 376.5785, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8915, predictive_accuracy: 0.9033, prior_entropy: 0.5368, recall: 0.9033, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.76,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, kappa: 0.7418, kb_relative_information_score: 271.1471, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8608, prior_entropy: 1.3212, recall: 0.8608, relative_absolute_error: 0.5717, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.6837,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8608, kappa: 0.6855, kb_relative_information_score: 595.1362, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8609, predictive_accuracy: 0.8626, prior_entropy: 0.9226, recall: 0.8626, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6509,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.7776, kappa: 0.7561, kb_relative_information_score: 1368.5181, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7753, predictive_accuracy: 0.7805, prior_entropy: 3.3219, recall: 0.7805, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.6432,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9743, kappa: 0.9434, kb_relative_information_score: 596.0779, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9747, predictive_accuracy: 0.9742, prior_entropy: 0.9297, recall: 0.9742, relative_absolute_error: 0.1668, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3483,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9775, kappa: 0.975, kb_relative_information_score: 1816.5659, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9777, predictive_accuracy: 0.9775, prior_entropy: 3.3219, recall: 0.9775, relative_absolute_error: 0.1759, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.2886,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.8396, kappa: 0.8228, kb_relative_information_score: 1528.5527, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.84, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.3941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.5384,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.8385, kappa: 0.315, kb_relative_information_score: 151.9228, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8397, predictive_accuracy: 0.862, prior_entropy: 0.622, recall: 0.862, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.8891,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.6864, kappa: 0.5946, kb_relative_information_score: 4688.2374, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7005, predictive_accuracy: 0.6961, prior_entropy: 2.1936, recall: 0.6961, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.7582,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9384, kappa: 0.9283, kb_relative_information_score: 2131.572, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9384, predictive_accuracy: 0.9385, prior_entropy: 2.8074, recall: 0.9385, relative_absolute_error: 0.116, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.3254,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9729, kappa: 0.9402, kb_relative_information_score: 598.5963, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9732, predictive_accuracy: 0.9728, prior_entropy: 0.9297, recall: 0.9728, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.3469,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9597, kappa: 0.958, kb_relative_information_score: 18636.738, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9598, predictive_accuracy: 0.9597, prior_entropy: 4.6998, recall: 0.9597, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.3083,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.8104, kappa: 0.609, kb_relative_information_score: 230.4168, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8142, predictive_accuracy: 0.813, prior_entropy: 0.9826, recall: 0.813, relative_absolute_error: 0.6086, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.7336,

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

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

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9652, kappa: 0.9435, kb_relative_information_score: 2241.603, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 1.4804, recall: 0.9652, relative_absolute_error: 0.3979, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4746,

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

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

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9915, kappa: 0.9906, kb_relative_information_score: 10658.4478, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9916, predictive_accuracy: 0.9915, prior_entropy: 3.3208, recall: 0.9915, relative_absolute_error: 0.0628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0501, root_relative_squared_error: 0.1669,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9518, kappa: 0.9216, kb_relative_information_score: 2719.6861, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9522, predictive_accuracy: 0.9517, prior_entropy: 1.48, recall: 0.9517, relative_absolute_error: 0.1899, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3617,

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

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 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 jm1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7608, f_measure: 0.7827, kappa: 0.2303, kb_relative_information_score: 855.7512, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7939, predictive_accuracy: 0.8218, prior_entropy: 0.7088, recall: 0.8218, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9176,

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

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