OpenML
Supervised Classification on pc1

Supervised Classification on pc1

Task 3918 Supervised Classification pc1 147053 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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147053 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.921, kappa: 0.2716, kb_relative_information_score: -0.0621, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9279, predictive_accuracy: 0.9387, prior_entropy: 0.3638, recall: 0.9387, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.9173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.8988, kappa: 0.0219, kb_relative_information_score: -0.0032, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9014, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9842, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, f_measure: 0.9035, kappa: 0.0821, kb_relative_information_score: -0.015, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9036, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9532, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.9843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6275, f_measure: 0.8988, kappa: 0.0219, kb_relative_information_score: 0.0152, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9014, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9782, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2535, root_relative_squared_error: 0.9975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.9005, kappa: 0.0428, kb_relative_information_score: -0.0652, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9021, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.9864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4251, kb_relative_information_score: -0.0161, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2547, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.922, kappa: 0.2848, kb_relative_information_score: -0.1181, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9271, predictive_accuracy: 0.9387, prior_entropy: 0.3638, recall: 0.9387, relative_absolute_error: 0.8333, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.9141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6591, f_measure: 0.9005, kappa: 0.0428, kb_relative_information_score: 0.0148, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9021, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9559, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.9791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4304, kb_relative_information_score: -0.0147, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.8993, kappa: 0.0239, kb_relative_information_score: 0.0081, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9362, predictive_accuracy: 0.9315, prior_entropy: 0.3638, recall: 0.9315, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.632, f_measure: 0.8967, kappa: -0.0018, kb_relative_information_score: -0.0002, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8659, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2535, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.9, kappa: 0.0407, kb_relative_information_score: -0.0134, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8951, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6182, f_measure: 0.9005, kappa: 0.0428, kb_relative_information_score: -0.0004, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9021, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2535, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.9071, kappa: 0.1116, kb_relative_information_score: -0.3328, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9277, predictive_accuracy: 0.9342, prior_entropy: 0.3638, recall: 0.9342, relative_absolute_error: 0.8753, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.235, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, kb_relative_information_score: -0.4511, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.9461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.9236, kappa: 0.3017, kb_relative_information_score: -0.0871, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9288, predictive_accuracy: 0.9396, prior_entropy: 0.3638, recall: 0.9396, relative_absolute_error: 0.8291, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6763, f_measure: 0.8984, kappa: 0.0199, kb_relative_information_score: -0.0112, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8898, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.9705, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6714, f_measure: 0.902, kappa: 0.0629, kb_relative_information_score: 0.0078, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9029, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9521, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.25, root_relative_squared_error: 0.9835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7447, f_measure: 0.898, kappa: 0.0325, kb_relative_information_score: -0.1202, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8825, predictive_accuracy: 0.9261, prior_entropy: 0.3638, recall: 0.9261, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.9844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.9015, kappa: 0.0606, kb_relative_information_score: 0.0108, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8978, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.9494, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.9842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.9005, kappa: 0.0428, kb_relative_information_score: -0.0371, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9021, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, f_measure: 0.904, kappa: 0.0846, kb_relative_information_score: -0.0221, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9086, predictive_accuracy: 0.9315, prior_entropy: 0.3638, recall: 0.9315, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.9056, kappa: 0.0925, kb_relative_information_score: -0.0608, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9385, predictive_accuracy: 0.9342, prior_entropy: 0.3638, recall: 0.9342, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.246, root_relative_squared_error: 0.9676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6124, f_measure: 0.8984, kappa: 0.0199, kb_relative_information_score: -0.0095, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8898, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.9035, kappa: 0.0821, kb_relative_information_score: -0.0087, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9036, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9505, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6089, f_measure: 0.8988, kappa: 0.0219, kb_relative_information_score: -0.0091, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9014, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.9087, kappa: 0.1412, kb_relative_information_score: -0.259, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9117, predictive_accuracy: 0.9324, prior_entropy: 0.3638, recall: 0.9324, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, kb_relative_information_score: -0.026, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6218, f_measure: 0.8967, kappa: -0.0018, kb_relative_information_score: -0.0001, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8659, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2535, root_relative_squared_error: 0.9975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.8993, kappa: 0.0239, kb_relative_information_score: -0.0903, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9362, predictive_accuracy: 0.9315, prior_entropy: 0.3638, recall: 0.9315, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.8962, kappa: -0.0035, kb_relative_information_score: -0.3575, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8658, predictive_accuracy: 0.9288, prior_entropy: 0.3638, recall: 0.9288, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.9864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5143, f_measure: 0.9015, kappa: 0.0473, kb_relative_information_score: 0.0265, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.937, predictive_accuracy: 0.9324, prior_entropy: 0.3638, recall: 0.9324, relative_absolute_error: 0.9732, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.9879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6624, f_measure: 0.8985, kappa: 0.0344, kb_relative_information_score: -0.0365, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8845, predictive_accuracy: 0.927, prior_entropy: 0.3638, recall: 0.927, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2522, root_relative_squared_error: 0.9922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, f_measure: 0.8988, kappa: 0.0219, kb_relative_information_score: -0.0062, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9014, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9792, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.922, kappa: 0.2848, kb_relative_information_score: 0.0108, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9271, predictive_accuracy: 0.9387, prior_entropy: 0.3638, recall: 0.9387, relative_absolute_error: 0.8275, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.9172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.8953, kappa: -0.0069, kb_relative_information_score: -0.1475, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8657, predictive_accuracy: 0.927, prior_entropy: 0.3638, recall: 0.927, relative_absolute_error: 0.9713, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.9893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6314, f_measure: 0.8988, kappa: 0.0219, kb_relative_information_score: -0.003, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9014, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.9977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, f_measure: 0.9005, kappa: 0.0428, kb_relative_information_score: 0.0007, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9021, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.9976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6246, f_measure: 0.8984, kappa: 0.0199, kb_relative_information_score: -0.0017, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8898, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.9976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, f_measure: 0.901, kappa: 0.0583, kb_relative_information_score: -0.0553, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8941, predictive_accuracy: 0.9288, prior_entropy: 0.3638, recall: 0.9288, relative_absolute_error: 0.9636, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.9, kappa: 0.0407, kb_relative_information_score: -0.3634, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8951, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.8816, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.9287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6108, f_measure: 0.8988, kappa: 0.0219, kb_relative_information_score: 0.0122, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9014, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.254, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.9, kappa: 0.0407, kb_relative_information_score: -0.0247, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8951, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.9842, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, f_measure: 0.901, kappa: 0.0583, kb_relative_information_score: -0.0787, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8941, predictive_accuracy: 0.9288, prior_entropy: 0.3638, recall: 0.9288, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6357, f_measure: 0.9106, kappa: 0.1609, kb_relative_information_score: 0.0404, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9147, predictive_accuracy: 0.9333, prior_entropy: 0.3638, recall: 0.9333, relative_absolute_error: 0.9168, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.9555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4414, f_measure: 0.8993, kappa: 0.0239, kb_relative_information_score: 0.0164, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9362, predictive_accuracy: 0.9315, prior_entropy: 0.3638, recall: 0.9315, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.9948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6355, f_measure: 0.8984, kappa: 0.0199, kb_relative_information_score: 0.0155, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8898, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.961, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.9828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6555, f_measure: 0.8988, kappa: 0.0219, kb_relative_information_score: 0.0009, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9014, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2522, root_relative_squared_error: 0.9921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5294, f_measure: 0.8988, kappa: 0.0219, kb_relative_information_score: 0.0016, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9014, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9826, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2545, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6035, f_measure: 0.9005, kappa: 0.0428, kb_relative_information_score: -0.002, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9021, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4773, f_measure: 0.8988, kappa: 0.0219, kb_relative_information_score: 0.0064, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9014, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9873, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2547, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, f_measure: 0.8984, kappa: 0.0199, kb_relative_information_score: -0.0009, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8898, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.9869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.9005, kappa: 0.0428, kb_relative_information_score: -0.0341, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9021, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9701, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.483, f_measure: 0.8967, kappa: -0.0018, kb_relative_information_score: -0.0233, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8659, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.255, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.922, kappa: 0.2848, kb_relative_information_score: -0.0886, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9271, predictive_accuracy: 0.9387, prior_entropy: 0.3638, recall: 0.9387, relative_absolute_error: 0.8291, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.9141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.9193, kappa: 0.2541, kb_relative_information_score: 0.0912, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9261, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.8535, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.9318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6392, f_measure: 0.8988, kappa: 0.0219, kb_relative_information_score: -0.0063, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9014, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9826, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5898, f_measure: 0.901, kappa: 0.045, kb_relative_information_score: -0.2377, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9138, predictive_accuracy: 0.9315, prior_entropy: 0.3638, recall: 0.9315, relative_absolute_error: 1.0154, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.9891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6748, f_measure: 0.9015, kappa: 0.0606, kb_relative_information_score: 0.0106, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8978, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.9498, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.9839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6131, f_measure: 0.8988, kappa: 0.0219, kb_relative_information_score: 0.0042, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9014, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.9005, kappa: 0.0428, kb_relative_information_score: -0.0714, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9021, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9518, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.9845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.8953, kappa: -0.0069, kb_relative_information_score: -0.2275, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8657, predictive_accuracy: 0.927, prior_entropy: 0.3638, recall: 0.927, relative_absolute_error: 0.9638, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.8948, kappa: -0.0085, kb_relative_information_score: -0.2613, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8657, predictive_accuracy: 0.9261, prior_entropy: 0.3638, recall: 0.9261, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, kb_relative_information_score: -0.0096, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2522, root_relative_squared_error: 0.9921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6923, f_measure: 0.9005, kappa: 0.0428, kb_relative_information_score: -0.035, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9021, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9647, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.8995, kappa: 0.0385, kb_relative_information_score: -0.0899, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8904, predictive_accuracy: 0.9288, prior_entropy: 0.3638, recall: 0.9288, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.9807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5215, f_measure: 0.8988, kappa: 0.0219, kb_relative_information_score: 0.0107, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9014, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9716, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, f_measure: 0.8988, kappa: 0.0219, kb_relative_information_score: 0.003, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9014, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9866, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.901, kappa: 0.0583, kb_relative_information_score: -0.0258, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8941, predictive_accuracy: 0.9288, prior_entropy: 0.3638, recall: 0.9288, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.9893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6864, f_measure: 0.9015, kappa: 0.0606, kb_relative_information_score: -0.0018, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8978, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.25, root_relative_squared_error: 0.9836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.8988, kappa: 0.0219, kb_relative_information_score: -0.0086, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9014, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6569, f_measure: 0.8988, kappa: 0.0219, kb_relative_information_score: 0.0048, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9014, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2521, root_relative_squared_error: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6851, f_measure: 0.9015, kappa: 0.0606, kb_relative_information_score: -0.0062, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8978, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.9546, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.9853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.904, kappa: 0.0846, kb_relative_information_score: 0.0336, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9086, predictive_accuracy: 0.9315, prior_entropy: 0.3638, recall: 0.9315, relative_absolute_error: 0.9273, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, kb_relative_information_score: -0.0259, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.8988, kappa: 0.0219, kb_relative_information_score: 0.0088, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9014, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9773, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2544, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6116, f_measure: 0.8967, kappa: -0.0018, kb_relative_information_score: -0.0004, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8659, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6736, f_measure: 0.8962, kappa: -0.0035, kb_relative_information_score: -0.0186, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8658, predictive_accuracy: 0.9288, prior_entropy: 0.3638, recall: 0.9288, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.558, f_measure: 0.8988, kappa: 0.0219, kb_relative_information_score: -0.1554, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9014, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2522, root_relative_squared_error: 0.9922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, f_measure: 0.8967, kappa: -0.0018, kb_relative_information_score: -0.0013, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8659, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2549, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, f_measure: 0.8957, kappa: -0.0052, kb_relative_information_score: -0.3267, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8658, predictive_accuracy: 0.9279, prior_entropy: 0.3638, recall: 0.9279, relative_absolute_error: 0.9825, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.9886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.722, f_measure: 0.8985, kappa: 0.0344, kb_relative_information_score: -0.0802, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8845, predictive_accuracy: 0.927, prior_entropy: 0.3638, recall: 0.927, relative_absolute_error: 0.9743, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.9959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6558, f_measure: 0.8967, kappa: -0.0018, kb_relative_information_score: 0.0086, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8659, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, f_measure: 0.908, kappa: 0.1268, kb_relative_information_score: 0.0472, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9168, predictive_accuracy: 0.9333, prior_entropy: 0.3638, recall: 0.9333, relative_absolute_error: 0.9138, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.9525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.8988, kappa: 0.0219, kb_relative_information_score: -0.0506, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9014, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9636, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.906, kappa: 0.106, kb_relative_information_score: 0.0372, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9131, predictive_accuracy: 0.9324, prior_entropy: 0.3638, recall: 0.9324, relative_absolute_error: 0.9231, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.9608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.904, kappa: 0.0846, kb_relative_information_score: -0.0123, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9086, predictive_accuracy: 0.9315, prior_entropy: 0.3638, recall: 0.9315, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.9815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.901, kappa: 0.0583, kb_relative_information_score: -0.0049, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8941, predictive_accuracy: 0.9288, prior_entropy: 0.3638, recall: 0.9288, relative_absolute_error: 0.9502, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.9807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.8985, kappa: 0.0344, kb_relative_information_score: -0.0524, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8845, predictive_accuracy: 0.927, prior_entropy: 0.3638, recall: 0.927, relative_absolute_error: 0.9688, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7286, f_measure: 0.8975, kappa: 0.0305, kb_relative_information_score: -0.0823, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8809, predictive_accuracy: 0.9252, prior_entropy: 0.3638, recall: 0.9252, relative_absolute_error: 0.9632, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.9129, kappa: 0.1925, kb_relative_information_score: 0.0765, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9143, predictive_accuracy: 0.9333, prior_entropy: 0.3638, recall: 0.9333, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5345, f_measure: 0.8984, kappa: 0.0199, kb_relative_information_score: -0.2408, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8898, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 1.0138, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.9849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.8962, kappa: -0.0035, kb_relative_information_score: -0.3775, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8658, predictive_accuracy: 0.9288, prior_entropy: 0.3638, recall: 0.9288, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.9005, kappa: 0.0428, kb_relative_information_score: -0.0725, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9021, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.951, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.9842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.9015, kappa: 0.0606, kb_relative_information_score: -0.0041, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8978, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.9527, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.9847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6432, f_measure: 0.9087, kappa: 0.1412, kb_relative_information_score: 0.0394, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9117, predictive_accuracy: 0.9324, prior_entropy: 0.3638, recall: 0.9324, relative_absolute_error: 0.9202, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.9565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.639, f_measure: 0.8988, kappa: 0.0219, kb_relative_information_score: 0.0118, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9014, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.253, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6231, f_measure: 0.8967, kappa: -0.0018, kb_relative_information_score: -0.0001, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8659, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.9975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.9176, kappa: 0.2361, kb_relative_information_score: -0.1006, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9242, predictive_accuracy: 0.9369, prior_entropy: 0.3638, recall: 0.9369, relative_absolute_error: 0.8402, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.9005, kappa: 0.0428, kb_relative_information_score: -0.0531, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9021, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.9879,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs