OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 3950 Supervised Classification musk 66544 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 under100k
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66544 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.997, kappa: 0.9883, kb_relative_information_score: 6189.2509, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.6204, recall: 0.997, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0642, root_relative_squared_error: 0.1779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9957, kappa: 0.9836, kb_relative_information_score: 6171.2973, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 0.6204, recall: 0.9958, relative_absolute_error: 0.0717, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.07, root_relative_squared_error: 0.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9899, kappa: 0.9611, kb_relative_information_score: 5789.588, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 0.6204, recall: 0.99, relative_absolute_error: 0.1336, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.2759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9902, kappa: 0.9622, kb_relative_information_score: 5906.6788, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.6204, recall: 0.9903, relative_absolute_error: 0.1105, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.094, root_relative_squared_error: 0.2604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9861, kappa: 0.9459, kb_relative_information_score: 5556.2793, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.6204, recall: 0.9862, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.3092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6499.0631, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0183, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0331, root_relative_squared_error: 0.0916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9802, kappa: 0.9233, kb_relative_information_score: 5598.4424, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9803, predictive_accuracy: 0.9804, prior_entropy: 0.6204, recall: 0.9804, relative_absolute_error: 0.1427, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9977, kappa: 0.9912, kb_relative_information_score: 6280.0189, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9977, predictive_accuracy: 0.9977, prior_entropy: 0.6204, recall: 0.9977, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0582, root_relative_squared_error: 0.1611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9876, kappa: 0.9519, kb_relative_information_score: 5470.8113, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9877, predictive_accuracy: 0.9877, prior_entropy: 0.6204, recall: 0.9877, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9839, kappa: 0.9373, kb_relative_information_score: 5339.1435, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.984, predictive_accuracy: 0.9841, prior_entropy: 0.6204, recall: 0.9841, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.3437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9866, kappa: 0.9476, kb_relative_information_score: -10640.2697, mean_absolute_error: 0.4437, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.987, predictive_accuracy: 0.9868, prior_entropy: 0.6204, recall: 0.9868, relative_absolute_error: 1.7012, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4442, root_relative_squared_error: 1.2302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9848, kappa: 0.941, kb_relative_information_score: 5313.9743, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9849, predictive_accuracy: 0.985, prior_entropy: 0.6204, recall: 0.985, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.3471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9908, kappa: 0.9646, kb_relative_information_score: 5955.6913, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 0.6204, recall: 0.9909, relative_absolute_error: 0.0978, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.2588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9852, kappa: 0.943, kb_relative_information_score: 5687.5902, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9852, predictive_accuracy: 0.9853, prior_entropy: 0.6204, recall: 0.9853, relative_absolute_error: 0.1328, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9919, kappa: 0.9688, kb_relative_information_score: 5907.9494, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.6204, recall: 0.992, relative_absolute_error: 0.1192, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.2442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, kb_relative_information_score: -2718.1969, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0683, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.9879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.8432, kappa: 0.3133, kb_relative_information_score: -10599.8849, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8938, predictive_accuracy: 0.8786, prior_entropy: 0.6204, recall: 0.8786, relative_absolute_error: 1.7014, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4456, root_relative_squared_error: 1.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.996, kappa: 0.9848, kb_relative_information_score: 6236.3426, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9961, predictive_accuracy: 0.9961, prior_entropy: 0.6204, recall: 0.9961, relative_absolute_error: 0.0604, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.1797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9812, kappa: 0.927, kb_relative_information_score: 5206.5371, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9814, predictive_accuracy: 0.9815, prior_entropy: 0.6204, recall: 0.9815, relative_absolute_error: 0.2234, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.3731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.998, kappa: 0.9924, kb_relative_information_score: 6426.2114, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.6204, recall: 0.998, relative_absolute_error: 0.0348, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0405, root_relative_squared_error: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9815, kappa: 0.9282, kb_relative_information_score: 5393.1463, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9817, predictive_accuracy: 0.9818, prior_entropy: 0.6204, recall: 0.9818, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.3625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9989, kappa: 0.9959, kb_relative_information_score: 6500.883, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.6204, recall: 0.9989, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0348, root_relative_squared_error: 0.0963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9757, kappa: 0.9052, kb_relative_information_score: 5306.543, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.976, predictive_accuracy: 0.9762, prior_entropy: 0.6204, recall: 0.9762, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.3785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: 6441.5189, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 0.0297, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0376, root_relative_squared_error: 0.1042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9884, kappa: 0.955, kb_relative_information_score: 5836.1304, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9884, predictive_accuracy: 0.9885, prior_entropy: 0.6204, recall: 0.9885, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.2807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.995, kappa: 0.9807, kb_relative_information_score: 6145.0469, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.6204, recall: 0.995, relative_absolute_error: 0.0745, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.074, root_relative_squared_error: 0.2048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9941, kappa: 0.9771, kb_relative_information_score: 6001.7921, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.6204, recall: 0.9941, relative_absolute_error: 0.1063, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.2228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: -7602.8772, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 1.3925, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3645, root_relative_squared_error: 1.0096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9831, kappa: 0.9345, kb_relative_information_score: 5532.0863, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9832, predictive_accuracy: 0.9833, prior_entropy: 0.6204, recall: 0.9833, relative_absolute_error: 0.1608, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.123, root_relative_squared_error: 0.3405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9968, kappa: 0.9877, kb_relative_information_score: 6383.19, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.6204, recall: 0.9968, relative_absolute_error: 0.0405, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.1521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8432, kappa: 0.3133, kb_relative_information_score: -10699.6054, mean_absolute_error: 0.4465, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8938, predictive_accuracy: 0.8786, prior_entropy: 0.6204, recall: 0.8786, relative_absolute_error: 1.7119, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4481, root_relative_squared_error: 1.2411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.971, kappa: 0.8848, kb_relative_information_score: -11256.645, mean_absolute_error: 0.4618, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9729, predictive_accuracy: 0.9721, prior_entropy: 0.6204, recall: 0.9721, relative_absolute_error: 1.7705, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4621, root_relative_squared_error: 1.2797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.8432, kappa: 0.3133, kb_relative_information_score: -10673.5248, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8938, predictive_accuracy: 0.8786, prior_entropy: 0.6204, recall: 0.8786, relative_absolute_error: 1.7092, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4475, root_relative_squared_error: 1.2393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: 6539.9065, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.6204, recall: 0.9985, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0367, root_relative_squared_error: 0.1016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: -6085.7117, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 1.2472, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.9033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9829, kappa: 0.9334, kb_relative_information_score: 5113.2423, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9832, predictive_accuracy: 0.9832, prior_entropy: 0.6204, recall: 0.9832, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.3764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9621, kappa: 0.8489, kb_relative_information_score: -7076.0612, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9642, predictive_accuracy: 0.9638, prior_entropy: 0.6204, recall: 0.9638, relative_absolute_error: 1.3678, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3632, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9953, kb_relative_information_score: -5503.2713, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 1.2015, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.8713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9989, kappa: 0.9959, kb_relative_information_score: -4659.4026, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.6204, recall: 0.9989, relative_absolute_error: 1.1295, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: -9368.5561, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 1.5671, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4104, root_relative_squared_error: 1.1366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9973, kappa: 0.9895, kb_relative_information_score: 6466.5899, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.6204, recall: 0.9973, relative_absolute_error: 0.0215, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0502, root_relative_squared_error: 0.1391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9977, kappa: 0.9913, kb_relative_information_score: -5610.221, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9977, predictive_accuracy: 0.9977, prior_entropy: 0.6204, recall: 0.9977, relative_absolute_error: 1.2232, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.322, root_relative_squared_error: 0.8918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9967, kappa: 0.9871, kb_relative_information_score: -4332.2277, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 0.6204, recall: 0.9967, relative_absolute_error: 1.1078, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.8061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9977, kappa: 0.9913, kb_relative_information_score: 6491.1168, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9977, predictive_accuracy: 0.9977, prior_entropy: 0.6204, recall: 0.9977, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0479, root_relative_squared_error: 0.1327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.993, kb_relative_information_score: 6428.0624, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6204, recall: 0.9982, relative_absolute_error: 0.028, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0435, root_relative_squared_error: 0.1204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: -7771.9806, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 1.404, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3675, root_relative_squared_error: 1.0177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9967, kappa: 0.9872, kb_relative_information_score: 5989.4933, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 0.6204, recall: 0.9967, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0657, root_relative_squared_error: 0.1821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9918, kb_relative_information_score: 6491.7202, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.6204, recall: 0.9979, relative_absolute_error: 0.0177, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0398, root_relative_squared_error: 0.1103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9857, kappa: 0.9447, kb_relative_information_score: 5456.1149, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9859, predictive_accuracy: 0.9859, prior_entropy: 0.6204, recall: 0.9859, relative_absolute_error: 0.1908, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.3235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9837, kappa: 0.9367, kb_relative_information_score: 5147.7759, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9839, predictive_accuracy: 0.9839, prior_entropy: 0.6204, recall: 0.9839, relative_absolute_error: 0.2451, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.3773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9898, kappa: 0.9604, kb_relative_information_score: 5721.2529, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.6204, recall: 0.9898, relative_absolute_error: 0.1444, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.103, root_relative_squared_error: 0.2852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9935, kappa: 0.975, kb_relative_information_score: 4725.7475, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.6204, recall: 0.9935, relative_absolute_error: 0.3727, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9935, kappa: 0.9748, kb_relative_information_score: 6006.632, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.6204, recall: 0.9935, relative_absolute_error: 0.1001, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0821, root_relative_squared_error: 0.2275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9941, kappa: 0.9773, kb_relative_information_score: 4485.512, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.6204, recall: 0.9941, relative_absolute_error: 0.3983, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.3889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.8752, kappa: 0.4615, kb_relative_information_score: -11451.9496, mean_absolute_error: 0.4678, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9087, predictive_accuracy: 0.8977, prior_entropy: 0.6204, recall: 0.8977, relative_absolute_error: 1.7934, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4681, root_relative_squared_error: 1.2964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9839, kappa: 0.9374, kb_relative_information_score: 5411.642, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.984, predictive_accuracy: 0.9841, prior_entropy: 0.6204, recall: 0.9841, relative_absolute_error: 0.1912, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.8179, kappa: 0.1959, kb_relative_information_score: -8690.1424, mean_absolute_error: 0.3959, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8838, predictive_accuracy: 0.8653, prior_entropy: 0.6204, recall: 0.8653, relative_absolute_error: 1.5177, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4041, root_relative_squared_error: 1.1191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9979, kappa: 0.9918, kb_relative_information_score: 6507.2182, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.6204, recall: 0.9979, relative_absolute_error: 0.0131, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.045, root_relative_squared_error: 0.1246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9902, kappa: 0.9622, kb_relative_information_score: 5902.3935, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.6204, recall: 0.9903, relative_absolute_error: 0.1167, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.2569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9908, kappa: 0.9646, kb_relative_information_score: 5892.0544, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 0.6204, recall: 0.9909, relative_absolute_error: 0.1169, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.2538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9956, kappa: 0.983, kb_relative_information_score: -8572.2133, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.6204, recall: 0.9956, relative_absolute_error: 1.49, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3905, root_relative_squared_error: 1.0816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.984, kappa: 0.9379, kb_relative_information_score: 5513.7686, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9842, predictive_accuracy: 0.9842, prior_entropy: 0.6204, recall: 0.9842, relative_absolute_error: 0.1725, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.991, kappa: 0.9653, kb_relative_information_score: 5811.3354, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.991, predictive_accuracy: 0.9911, prior_entropy: 0.6204, recall: 0.9911, relative_absolute_error: 0.1322, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0958, root_relative_squared_error: 0.2654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9898, kappa: 0.9605, kb_relative_information_score: 5669.2296, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.6204, recall: 0.9898, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.2875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.8164, kappa: 0.1888, kb_relative_information_score: -9219.9458, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8832, predictive_accuracy: 0.8645, prior_entropy: 0.6204, recall: 0.8645, relative_absolute_error: 1.5664, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.1481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9968, kappa: 0.9877, kb_relative_information_score: 6193.2553, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.6204, recall: 0.9968, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0654, root_relative_squared_error: 0.1811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9784, kappa: 0.916, kb_relative_information_score: 5293.2764, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9786, predictive_accuracy: 0.9788, prior_entropy: 0.6204, recall: 0.9788, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.3646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9831, kappa: 0.9342, kb_relative_information_score: 5181.4246, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 0.6204, recall: 0.9833, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.3696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9968, kappa: 0.9877, kb_relative_information_score: 6284.5559, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.6204, recall: 0.9968, relative_absolute_error: 0.0518, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.06, root_relative_squared_error: 0.1662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9953, kappa: 0.9819, kb_relative_information_score: 6122.9994, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.6204, recall: 0.9953, relative_absolute_error: 0.0809, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.073, root_relative_squared_error: 0.2023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9766, kappa: 0.9085, kb_relative_information_score: 4944.2192, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.977, predictive_accuracy: 0.9771, prior_entropy: 0.6204, recall: 0.9771, relative_absolute_error: 0.2714, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6513.8938, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.0136, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0389, root_relative_squared_error: 0.1078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9446, kappa: 0.7739, kb_relative_information_score: -9370.3077, mean_absolute_error: 0.4101, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9511, predictive_accuracy: 0.9488, prior_entropy: 0.6204, recall: 0.9488, relative_absolute_error: 1.5724, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4124, root_relative_squared_error: 1.1422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9971, kappa: 0.9889, kb_relative_information_score: -3957.0077, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.6204, recall: 0.9971, relative_absolute_error: 1.0719, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.7777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9989, kappa: 0.9959, kb_relative_information_score: 352.5841, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.6204, recall: 0.9989, relative_absolute_error: 0.801, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.5941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: 6529.9081, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.6204, recall: 0.9985, relative_absolute_error: 0.0108, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0348, root_relative_squared_error: 0.0963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9912, kappa: 0.9659, kb_relative_information_score: 5919.9614, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 0.6204, recall: 0.9912, relative_absolute_error: 0.1136, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.2469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: -4924.0831, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 1.1468, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: -7464.4062, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 1.3754, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9977, kappa: 0.9913, kb_relative_information_score: 6312.5039, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9977, predictive_accuracy: 0.9977, prior_entropy: 0.6204, recall: 0.9977, relative_absolute_error: 0.0507, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0544, root_relative_squared_error: 0.1505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9832, kappa: 0.9353, kb_relative_information_score: 5688.2646, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9832, predictive_accuracy: 0.9833, prior_entropy: 0.6204, recall: 0.9833, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.3181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6313.9547, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.0514, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.1416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: -4665.8158, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 1.1531, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.8472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: -6485.7211, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 1.2905, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.9383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.955, kappa: 0.8217, kb_relative_information_score: 3056.183, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9559, predictive_accuracy: 0.9567, prior_entropy: 0.6204, recall: 0.9567, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.5938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9665, kappa: 0.8679, kb_relative_information_score: 647.0842, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9671, predictive_accuracy: 0.9674, prior_entropy: 0.6204, recall: 0.9674, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.6877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9822, kappa: 0.9307, kb_relative_information_score: 5124.7117, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9823, predictive_accuracy: 0.9824, prior_entropy: 0.6204, recall: 0.9824, relative_absolute_error: 0.239, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9933, kappa: 0.9741, kb_relative_information_score: 6146.3065, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.6204, recall: 0.9933, relative_absolute_error: 0.0673, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.2181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9775, kappa: 0.9119, kb_relative_information_score: 4811.5805, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 0.6204, recall: 0.978, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.4246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: -8268.5934, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 1.4526, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3796, root_relative_squared_error: 1.0514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6548.1113, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0329, root_relative_squared_error: 0.0912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.977, kappa: 0.91, kb_relative_information_score: 4878.1731, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9773, predictive_accuracy: 0.9774, prior_entropy: 0.6204, recall: 0.9774, relative_absolute_error: 0.2805, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.4229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: -11062.7959, mean_absolute_error: 0.4558, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.6204, recall: 0.9985, relative_absolute_error: 1.7473, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4559, root_relative_squared_error: 1.2626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9824, kb_relative_information_score: 6081.3723, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9954, predictive_accuracy: 0.9955, prior_entropy: 0.6204, recall: 0.9955, relative_absolute_error: 0.0932, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.2025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9979, kappa: 0.9919, kb_relative_information_score: 6433.6064, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.6204, recall: 0.9979, relative_absolute_error: 0.0315, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0419, root_relative_squared_error: 0.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9915, kappa: 0.967, kb_relative_information_score: 5889.5885, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9915, predictive_accuracy: 0.9915, prior_entropy: 0.6204, recall: 0.9915, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.2497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: -3953.0741, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.6204, recall: 0.9985, relative_absolute_error: 1.0711, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.7767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9159, kappa: 0.6471, kb_relative_information_score: -11976.6023, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.932, predictive_accuracy: 0.926, prior_entropy: 0.6204, recall: 0.926, relative_absolute_error: 1.8549, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.3401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9889, kappa: 0.9571, kb_relative_information_score: 5679.915, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 0.6204, recall: 0.9889, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.2903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: -10056.1419, mean_absolute_error: 0.4265, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 1.6353, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4269, root_relative_squared_error: 1.1822,

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