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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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.949, kappa: 0.8005, kb_relative_information_score: 4703.8432, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9487, predictive_accuracy: 0.95, prior_entropy: 0.6204, recall: 0.95, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5407, scimark_benchmark: 1209.2844, usercpu_time_millis: 706.238, usercpu_time_millis_testing: 6.571, usercpu_time_millis_training: 699.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9883, kappa: 0.9552, kb_relative_information_score: 6087.8437, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.6204, recall: 0.9883, relative_absolute_error: 0.0771, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.2704, scimark_benchmark: 1245.6387, usercpu_time_millis: 280.794, usercpu_time_millis_testing: 2.449, usercpu_time_millis_training: 278.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9467, kappa: 0.7886, kb_relative_information_score: 4424.2366, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9474, predictive_accuracy: 0.9488, prior_entropy: 0.6204, recall: 0.9488, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.5496, scimark_benchmark: 1222.6161, usercpu_time_millis: 444.175, usercpu_time_millis_testing: 3.587, usercpu_time_millis_training: 440.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6579.6158, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0027, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0167, root_relative_squared_error: 0.0462, scimark_benchmark: 1208.389, usercpu_time_millis: 256.294, usercpu_time_millis_testing: 0.9, usercpu_time_millis_training: 255.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9753, kappa: 0.9045, kb_relative_information_score: 5722.8889, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9753, predictive_accuracy: 0.9756, prior_entropy: 0.6204, recall: 0.9756, relative_absolute_error: 0.1364, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.132, root_relative_squared_error: 0.3655, scimark_benchmark: 1268.6232, usercpu_time_millis: 321.041, usercpu_time_millis_testing: 2.327, usercpu_time_millis_training: 318.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9494, kappa: 0.8021, kb_relative_information_score: 4710.3803, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9491, predictive_accuracy: 0.9504, prior_entropy: 0.6204, recall: 0.9504, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.5379, scimark_benchmark: 1231.6253, usercpu_time_millis: 624.824, usercpu_time_millis_testing: 5.001, usercpu_time_millis_training: 619.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1264.963, usercpu_time_millis: 231.547, usercpu_time_millis_testing: 0.872, usercpu_time_millis_training: 230.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9669, kappa: 0.8712, kb_relative_information_score: 5321.4276, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9669, predictive_accuracy: 0.9674, prior_entropy: 0.6204, recall: 0.9674, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.158, root_relative_squared_error: 0.4377, scimark_benchmark: 1202.9864, usercpu_time_millis: 810.896, usercpu_time_millis_testing: 8.506, usercpu_time_millis_training: 802.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1200.8893, usercpu_time_millis: 272.772, usercpu_time_millis_testing: 0.801, usercpu_time_millis_training: 271.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5168.048, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9648, predictive_accuracy: 0.9654, prior_entropy: 0.6204, recall: 0.9654, relative_absolute_error: 0.2137, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.167, root_relative_squared_error: 0.4626, scimark_benchmark: 1211.0057, usercpu_time_millis: 871.252, usercpu_time_millis_testing: 9.641, usercpu_time_millis_training: 861.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1234.9056, usercpu_time_millis: 241.44, usercpu_time_millis_testing: 0.665, usercpu_time_millis_training: 240.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6572.7125, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0045, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0097, root_relative_squared_error: 0.0269, scimark_benchmark: 1261.8611, usercpu_time_millis: 293.442, usercpu_time_millis_testing: 2.721, usercpu_time_millis_training: 290.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.9367, kappa: 0.7516, kb_relative_information_score: 4126.3692, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9363, predictive_accuracy: 0.9383, prior_entropy: 0.6204, recall: 0.9383, relative_absolute_error: 0.3338, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.6014, scimark_benchmark: 1225.2227, usercpu_time_millis: 745.111, usercpu_time_millis_testing: 7.625, usercpu_time_millis_training: 737.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6558.6564, mean_absolute_error: 0.0013, 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: 0.0052, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0247, root_relative_squared_error: 0.0685, scimark_benchmark: 1273.1832, usercpu_time_millis: 209.25, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 208.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9631, kappa: 0.8565, kb_relative_information_score: 5151.0296, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.963, predictive_accuracy: 0.9636, prior_entropy: 0.6204, recall: 0.9636, relative_absolute_error: 0.2147, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.4649, scimark_benchmark: 1226.3903, usercpu_time_millis: 739.108, usercpu_time_millis_testing: 8.865, usercpu_time_millis_training: 730.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.9197, kappa: 0.6741, kb_relative_information_score: 3503.7206, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.922, predictive_accuracy: 0.9251, prior_entropy: 0.6204, recall: 0.9251, relative_absolute_error: 0.4398, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.245, root_relative_squared_error: 0.6786, scimark_benchmark: 1215.96, usercpu_time_millis: 658.593, usercpu_time_millis_testing: 6.074, usercpu_time_millis_training: 652.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6547.7532, mean_absolute_error: 0.0021, 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: 0.0081, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0231, root_relative_squared_error: 0.064, scimark_benchmark: 1212.6863, usercpu_time_millis: 307.918, usercpu_time_millis_testing: 1.591, usercpu_time_millis_training: 306.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1254.0024, usercpu_time_millis: 214.246, usercpu_time_millis_testing: 0.607, usercpu_time_millis_training: 213.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9989, kappa: 0.9959, kb_relative_information_score: 6523.5672, mean_absolute_error: 0.0029, 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: 0.0111, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0297, root_relative_squared_error: 0.0823, scimark_benchmark: 1263.4653, usercpu_time_millis: 345.193, usercpu_time_millis_testing: 2.452, usercpu_time_millis_training: 342.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1266.3357, usercpu_time_millis: 225.227, usercpu_time_millis_testing: 0.723, usercpu_time_millis_training: 224.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9506, kappa: 0.8047, kb_relative_information_score: 4535.7366, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.951, predictive_accuracy: 0.9523, prior_entropy: 0.6204, recall: 0.9523, relative_absolute_error: 0.2972, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.5335, scimark_benchmark: 1252.3796, usercpu_time_millis: 350.742, usercpu_time_millis_testing: 2.615, usercpu_time_millis_training: 348.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9488, kappa: 0.8, kb_relative_information_score: 4703.2749, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9485, predictive_accuracy: 0.9498, prior_entropy: 0.6204, recall: 0.9498, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.5407, scimark_benchmark: 1251.1886, usercpu_time_millis: 620.835, usercpu_time_millis_testing: 5.587, usercpu_time_millis_training: 615.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.9306, kappa: 0.7191, kb_relative_information_score: 4083.594, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9332, predictive_accuracy: 0.935, prior_entropy: 0.6204, recall: 0.935, relative_absolute_error: 0.3664, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.6034, scimark_benchmark: 1205.8482, usercpu_time_millis: 617.677, usercpu_time_millis_testing: 5.272, usercpu_time_millis_training: 612.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9939, kappa: 0.9768, kb_relative_information_score: 6324.6265, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.994, predictive_accuracy: 0.9939, prior_entropy: 0.6204, recall: 0.9939, relative_absolute_error: 0.0406, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.1878, scimark_benchmark: 1262.6306, usercpu_time_millis: 283.88, usercpu_time_millis_testing: 2.369, usercpu_time_millis_training: 281.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.965, kappa: 0.8638, kb_relative_information_score: 5195.3531, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9648, predictive_accuracy: 0.9654, prior_entropy: 0.6204, recall: 0.9654, relative_absolute_error: 0.2107, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.4576, scimark_benchmark: 1210.4702, usercpu_time_millis: 722.018, usercpu_time_millis_testing: 9.025, usercpu_time_millis_training: 712.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1187.3498, usercpu_time_millis: 261.277, usercpu_time_millis_testing: 0.802, usercpu_time_millis_training: 260.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9483, kappa: 0.7981, kb_relative_information_score: 4687.557, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9481, predictive_accuracy: 0.9494, prior_entropy: 0.6204, recall: 0.9494, relative_absolute_error: 0.2742, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.5437, scimark_benchmark: 1210.6906, usercpu_time_millis: 556.981, usercpu_time_millis_testing: 5.852, usercpu_time_millis_training: 551.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.989, kappa: 0.9577, kb_relative_information_score: 6194.2959, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.989, predictive_accuracy: 0.9891, prior_entropy: 0.6204, recall: 0.9891, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.2364, scimark_benchmark: 1270.2966, usercpu_time_millis: 494.048, usercpu_time_millis_testing: 3.781, usercpu_time_millis_training: 490.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9633, kappa: 0.8571, kb_relative_information_score: 5147.857, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9631, predictive_accuracy: 0.9638, prior_entropy: 0.6204, recall: 0.9638, relative_absolute_error: 0.2152, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.4655, scimark_benchmark: 1229.1893, usercpu_time_millis: 768.917, usercpu_time_millis_testing: 7.709, usercpu_time_millis_training: 761.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.8522, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0287, scimark_benchmark: 1238.7225, usercpu_time_millis: 383.616, usercpu_time_millis_testing: 2.577, usercpu_time_millis_training: 381.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1245.9252, usercpu_time_millis: 255.291, usercpu_time_millis_testing: 0.77, usercpu_time_millis_training: 254.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9834, kappa: 0.9364, kb_relative_information_score: 5865.7282, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9834, predictive_accuracy: 0.9835, prior_entropy: 0.6204, recall: 0.9835, relative_absolute_error: 0.1075, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.3089, scimark_benchmark: 1226.9384, usercpu_time_millis: 387.339, usercpu_time_millis_testing: 2.506, usercpu_time_millis_training: 384.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.991, kappa: 0.9655, kb_relative_information_score: 6165.8114, mean_absolute_error: 0.0168, 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: 0.0645, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.2391, scimark_benchmark: 1259.0949, usercpu_time_millis: 326.549, usercpu_time_millis_testing: 2.325, usercpu_time_millis_training: 324.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.9196, kappa: 0.6735, kb_relative_information_score: 3498.0036, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.922, predictive_accuracy: 0.9251, prior_entropy: 0.6204, recall: 0.9251, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.6781, scimark_benchmark: 1243.0676, usercpu_time_millis: 619.998, usercpu_time_millis_testing: 5.195, usercpu_time_millis_training: 614.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6915, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1250.3926, usercpu_time_millis: 267.502, usercpu_time_millis_testing: 0.804, usercpu_time_millis_training: 266.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6953, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1228.2566, usercpu_time_millis: 250.673, usercpu_time_millis_testing: 0.793, usercpu_time_millis_training: 249.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9491, kappa: 0.8012, kb_relative_information_score: 4709.5313, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9488, predictive_accuracy: 0.9501, prior_entropy: 0.6204, recall: 0.9501, relative_absolute_error: 0.2716, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.5408, scimark_benchmark: 1258.4135, usercpu_time_millis: 634.143, usercpu_time_millis_testing: 6.139, usercpu_time_millis_training: 628.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9861, kb_relative_information_score: 6436.6756, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.6204, recall: 0.9964, relative_absolute_error: 0.0248, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0485, root_relative_squared_error: 0.1344, scimark_benchmark: 1213.2461, usercpu_time_millis: 514.173, usercpu_time_millis_testing: 3.445, usercpu_time_millis_training: 510.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9965, kappa: 0.9867, kb_relative_information_score: 6437.0036, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.6204, recall: 0.9965, relative_absolute_error: 0.025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.1428, scimark_benchmark: 1268.5255, usercpu_time_millis: 286.812, usercpu_time_millis_testing: 1.933, usercpu_time_millis_training: 284.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9888, kappa: 0.9569, kb_relative_information_score: 6085.2766, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9888, predictive_accuracy: 0.9888, prior_entropy: 0.6204, recall: 0.9888, relative_absolute_error: 0.0761, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.2596, scimark_benchmark: 1229.1945, usercpu_time_millis: 364.175, usercpu_time_millis_testing: 2.866, usercpu_time_millis_training: 361.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9771, kappa: 0.9115, kb_relative_information_score: 5597.9176, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.977, predictive_accuracy: 0.9773, prior_entropy: 0.6204, recall: 0.9773, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.3604, scimark_benchmark: 1241.7285, usercpu_time_millis: 380.325, usercpu_time_millis_testing: 2.633, usercpu_time_millis_training: 377.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6568.2226, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.005, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.013, root_relative_squared_error: 0.036, scimark_benchmark: 1268.8705, usercpu_time_millis: 318.602, usercpu_time_millis_testing: 2.259, usercpu_time_millis_training: 316.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5166.8936, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9648, predictive_accuracy: 0.9654, prior_entropy: 0.6204, recall: 0.9654, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.4628, scimark_benchmark: 1263.8888, usercpu_time_millis: 743.941, usercpu_time_millis_testing: 8.811, usercpu_time_millis_training: 735.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1231.4526, usercpu_time_millis: 276.838, usercpu_time_millis_testing: 0.77, usercpu_time_millis_training: 276.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9335, kappa: 0.736, kb_relative_information_score: 3887.4076, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9335, predictive_accuracy: 0.936, prior_entropy: 0.6204, recall: 0.936, relative_absolute_error: 0.3679, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.224, root_relative_squared_error: 0.6204, scimark_benchmark: 1246.9376, usercpu_time_millis: 661.384, usercpu_time_millis_testing: 6.939, usercpu_time_millis_training: 654.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.2654, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0158, root_relative_squared_error: 0.0438, scimark_benchmark: 1228.3756, usercpu_time_millis: 251.01, usercpu_time_millis_testing: 0.754, usercpu_time_millis_training: 250.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9927, kappa: 0.9722, kb_relative_information_score: 6258.8477, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.6204, recall: 0.9927, relative_absolute_error: 0.0534, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.2153, scimark_benchmark: 1255.405, usercpu_time_millis: 351.277, usercpu_time_millis_testing: 2.624, usercpu_time_millis_training: 348.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9488, kappa: 0.8, kb_relative_information_score: 4704.294, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9485, predictive_accuracy: 0.9498, prior_entropy: 0.6204, recall: 0.9498, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.195, root_relative_squared_error: 0.5401, scimark_benchmark: 1222.4688, usercpu_time_millis: 619.016, usercpu_time_millis_testing: 5.672, usercpu_time_millis_training: 613.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6542.8985, mean_absolute_error: 0.0022, 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: 0.0086, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0265, root_relative_squared_error: 0.0734, scimark_benchmark: 1224.9235, usercpu_time_millis: 382.02, usercpu_time_millis_testing: 2.531, usercpu_time_millis_training: 379.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6485.6561, mean_absolute_error: 0.0046, 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: 0.0177, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0336, root_relative_squared_error: 0.093, scimark_benchmark: 1266.5148, usercpu_time_millis: 446.498, usercpu_time_millis_testing: 3.244, usercpu_time_millis_training: 443.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6538.1739, mean_absolute_error: 0.0025, 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: 0.0097, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0228, root_relative_squared_error: 0.063, scimark_benchmark: 1260.7469, usercpu_time_millis: 472.799, usercpu_time_millis_testing: 3.739, usercpu_time_millis_training: 469.06,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9494, kappa: 0.7998, kb_relative_information_score: 4514.336, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9499, predictive_accuracy: 0.9512, prior_entropy: 0.6204, recall: 0.9512, relative_absolute_error: 0.3003, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.5363, scimark_benchmark: 1217.7312, usercpu_time_millis: 405.264, usercpu_time_millis_testing: 2.795, usercpu_time_millis_training: 402.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1222.1878, usercpu_time_millis: 248.915, usercpu_time_millis_testing: 0.747, usercpu_time_millis_training: 248.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6552.6128, mean_absolute_error: 0.0016, 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: 0.0062, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0276, root_relative_squared_error: 0.0764, scimark_benchmark: 1266.3869, usercpu_time_millis: 225.682, usercpu_time_millis_testing: 0.921, usercpu_time_millis_training: 224.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9513, kappa: 0.8077, kb_relative_information_score: 4584.4343, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9517, predictive_accuracy: 0.9529, prior_entropy: 0.6204, recall: 0.9529, relative_absolute_error: 0.2901, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.5259, scimark_benchmark: 1264.018, usercpu_time_millis: 358.518, usercpu_time_millis_testing: 2.749, usercpu_time_millis_training: 355.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9667, kappa: 0.8705, kb_relative_information_score: 5312.0033, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9667, predictive_accuracy: 0.9673, prior_entropy: 0.6204, recall: 0.9673, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.4401, scimark_benchmark: 1216.7333, usercpu_time_millis: 642.134, usercpu_time_millis_testing: 5.43, usercpu_time_millis_training: 636.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6580.486, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0164, root_relative_squared_error: 0.0454, scimark_benchmark: 1211.5636, usercpu_time_millis: 242.345, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 241.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9982, kappa: 0.993, kb_relative_information_score: 6507.2768, mean_absolute_error: 0.0036, 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: 0.0139, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0409, root_relative_squared_error: 0.1134, scimark_benchmark: 1269.0586, usercpu_time_millis: 232.221, usercpu_time_millis_testing: 1.177, usercpu_time_millis_training: 231.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6579.245, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0027, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0168, root_relative_squared_error: 0.0466, scimark_benchmark: 1224.073, usercpu_time_millis: 237.258, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 236.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1269.005, usercpu_time_millis: 230.423, usercpu_time_millis_testing: 0.726, usercpu_time_millis_training: 229.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.471, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0157, root_relative_squared_error: 0.0433, scimark_benchmark: 1207.7297, usercpu_time_millis: 239.605, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 238.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6580.5362, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0164, root_relative_squared_error: 0.0453, scimark_benchmark: 1265.2156, usercpu_time_millis: 228.742, usercpu_time_millis_testing: 0.74, usercpu_time_millis_training: 228.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9973, kappa: 0.9896, kb_relative_information_score: 6457.0277, mean_absolute_error: 0.0054, 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: 0.0208, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0504, root_relative_squared_error: 0.1395, scimark_benchmark: 1208.8187, usercpu_time_millis: 260.277, usercpu_time_millis_testing: 1.447, usercpu_time_millis_training: 258.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1257.5819, usercpu_time_millis: 249.581, usercpu_time_millis_testing: 0.735, usercpu_time_millis_training: 248.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1241.9726, usercpu_time_millis: 244.847, usercpu_time_millis_testing: 0.747, usercpu_time_millis_training: 244.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9757, kappa: 0.9059, kb_relative_information_score: 5682.1316, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9756, predictive_accuracy: 0.9759, prior_entropy: 0.6204, recall: 0.9759, relative_absolute_error: 0.1362, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.135, root_relative_squared_error: 0.3738, scimark_benchmark: 1242.8195, usercpu_time_millis: 607.259, usercpu_time_millis_testing: 5.908, usercpu_time_millis_training: 601.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.92, kappa: 0.6748, kb_relative_information_score: 3509.7438, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9224, predictive_accuracy: 0.9254, prior_entropy: 0.6204, recall: 0.9254, relative_absolute_error: 0.44, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.6762, scimark_benchmark: 1264.9445, usercpu_time_millis: 623.655, usercpu_time_millis_testing: 6.537, usercpu_time_millis_training: 617.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.9194, kappa: 0.6725, kb_relative_information_score: 3494.4521, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9217, predictive_accuracy: 0.9248, prior_entropy: 0.6204, recall: 0.9248, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6787, scimark_benchmark: 1219.0625, usercpu_time_millis: 585.83, usercpu_time_millis_testing: 5.457, usercpu_time_millis_training: 580.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6576.9122, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.014, root_relative_squared_error: 0.0387, scimark_benchmark: 1214.9317, usercpu_time_millis: 213.712, usercpu_time_millis_testing: 1.532, usercpu_time_millis_training: 212.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6481.3518, mean_absolute_error: 0.0048, 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: 0.0183, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0354, root_relative_squared_error: 0.098, scimark_benchmark: 1234.0904, usercpu_time_millis: 452.94, usercpu_time_millis_testing: 3.448, usercpu_time_millis_training: 449.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6508.2258, mean_absolute_error: 0.0035, 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: 0.0134, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0355, root_relative_squared_error: 0.0983, scimark_benchmark: 1223.8088, usercpu_time_millis: 388.64, usercpu_time_millis_testing: 2.837, usercpu_time_millis_training: 385.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9953, kappa: 0.982, kb_relative_information_score: 6404.23, mean_absolute_error: 0.0077, 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: 0.0297, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0548, root_relative_squared_error: 0.1519, scimark_benchmark: 1233.4512, usercpu_time_millis: 464.668, usercpu_time_millis_testing: 3.359, usercpu_time_millis_training: 461.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: 6477.3171, mean_absolute_error: 0.005, 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: 0.019, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0361, root_relative_squared_error: 0.1001, scimark_benchmark: 1240.3083, usercpu_time_millis: 458.981, usercpu_time_millis_testing: 3.317, usercpu_time_millis_training: 455.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1239.247, usercpu_time_millis: 268.57, usercpu_time_millis_testing: 0.814, usercpu_time_millis_training: 267.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9973, kappa: 0.9896, kb_relative_information_score: 6455.5734, mean_absolute_error: 0.0055, 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: 0.021, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.1402, scimark_benchmark: 1227.6296, usercpu_time_millis: 297.661, usercpu_time_millis_testing: 1.528, usercpu_time_millis_training: 296.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9982, kappa: 0.993, kb_relative_information_score: 6485.324, mean_absolute_error: 0.0046, 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: 0.0177, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0399, root_relative_squared_error: 0.1104, scimark_benchmark: 1247.3139, usercpu_time_millis: 367.969, usercpu_time_millis_testing: 2.65, usercpu_time_millis_training: 365.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9492, kappa: 0.8014, kb_relative_information_score: 4720.4489, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.949, predictive_accuracy: 0.9503, prior_entropy: 0.6204, recall: 0.9503, relative_absolute_error: 0.2703, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.535, scimark_benchmark: 1272.165, usercpu_time_millis: 636.823, usercpu_time_millis_testing: 7.009, usercpu_time_millis_training: 629.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9634, kappa: 0.8578, kb_relative_information_score: 5148.4043, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9633, predictive_accuracy: 0.9639, prior_entropy: 0.6204, recall: 0.9639, relative_absolute_error: 0.2147, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.465, scimark_benchmark: 1265.755, usercpu_time_millis: 634.902, usercpu_time_millis_testing: 6.555, usercpu_time_millis_training: 628.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1222.1225, usercpu_time_millis: 269.095, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 268.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1229.5875, usercpu_time_millis: 240.365, usercpu_time_millis_testing: 0.645, usercpu_time_millis_training: 239.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6547.7532, mean_absolute_error: 0.0021, 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: 0.0081, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0231, root_relative_squared_error: 0.064, scimark_benchmark: 1211.6415, usercpu_time_millis: 293.497, usercpu_time_millis_testing: 1.512, usercpu_time_millis_training: 291.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9919, kb_relative_information_score: 6459.477, mean_absolute_error: 0.0056, 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: 0.0214, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.043, root_relative_squared_error: 0.119, scimark_benchmark: 1241.2665, usercpu_time_millis: 508.769, usercpu_time_millis_testing: 3.248, usercpu_time_millis_training: 505.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9971, kappa: 0.989, kb_relative_information_score: 6453.6043, mean_absolute_error: 0.0058, 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: 0.0224, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0446, root_relative_squared_error: 0.1235, scimark_benchmark: 1274.3937, usercpu_time_millis: 432.566, usercpu_time_millis_testing: 3.042, usercpu_time_millis_training: 429.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6579.7333, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0027, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0166, root_relative_squared_error: 0.046, scimark_benchmark: 1209.3907, usercpu_time_millis: 249.589, usercpu_time_millis_testing: 0.779, usercpu_time_millis_training: 248.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1281.2885, usercpu_time_millis: 240.129, usercpu_time_millis_testing: 0.748, usercpu_time_millis_training: 239.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9897, kappa: 0.9604, kb_relative_information_score: 6129.3673, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 0.6204, recall: 0.9897, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.093, root_relative_squared_error: 0.2574, scimark_benchmark: 1268.0051, usercpu_time_millis: 296.785, usercpu_time_millis_testing: 2.397, usercpu_time_millis_training: 294.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.5129, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0155, root_relative_squared_error: 0.0431, scimark_benchmark: 1249.8156, usercpu_time_millis: 240.165, usercpu_time_millis_testing: 0.792, usercpu_time_millis_training: 239.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.9307, kappa: 0.7211, kb_relative_information_score: 3989.7157, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9322, predictive_accuracy: 0.9345, prior_entropy: 0.6204, recall: 0.9345, relative_absolute_error: 0.3704, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.6061, scimark_benchmark: 1223.6151, usercpu_time_millis: 459.088, usercpu_time_millis_testing: 3.121, usercpu_time_millis_training: 455.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9672, kappa: 0.8722, kb_relative_information_score: 5352.3254, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9672, predictive_accuracy: 0.9677, prior_entropy: 0.6204, recall: 0.9677, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.4308, scimark_benchmark: 1227.6633, usercpu_time_millis: 757.959, usercpu_time_millis_testing: 7.89, usercpu_time_millis_training: 750.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.9289, kappa: 0.7126, kb_relative_information_score: 3886.0735, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9309, predictive_accuracy: 0.9332, prior_entropy: 0.6204, recall: 0.9332, relative_absolute_error: 0.3859, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.6201, scimark_benchmark: 1265.911, usercpu_time_millis: 474.487, usercpu_time_millis_testing: 3.186, usercpu_time_millis_training: 471.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9636, kappa: 0.8584, kb_relative_information_score: 5158.0684, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9634, predictive_accuracy: 0.9641, prior_entropy: 0.6204, recall: 0.9641, relative_absolute_error: 0.2134, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.4634, scimark_benchmark: 1232.802, usercpu_time_millis: 730.038, usercpu_time_millis_testing: 6.888, usercpu_time_millis_training: 723.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9289, kappa: 0.7118, kb_relative_information_score: 4001.7081, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9316, predictive_accuracy: 0.9335, prior_entropy: 0.6204, recall: 0.9335, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.6132, scimark_benchmark: 1260.405, usercpu_time_millis: 620.048, usercpu_time_millis_testing: 5.929, usercpu_time_millis_training: 614.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9947, kappa: 0.9797, kb_relative_information_score: 6349.4735, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.6204, recall: 0.9947, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.1797, scimark_benchmark: 1268.0997, usercpu_time_millis: 401.677, usercpu_time_millis_testing: 2.707, usercpu_time_millis_training: 398.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9778, kappa: 0.9143, kb_relative_information_score: 5806.8119, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9778, predictive_accuracy: 0.978, prior_entropy: 0.6204, recall: 0.978, relative_absolute_error: 0.1222, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.347, scimark_benchmark: 1220.4815, usercpu_time_millis: 392.402, usercpu_time_millis_testing: 2.778, usercpu_time_millis_training: 389.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9476, kappa: 0.7922, kb_relative_information_score: 4436.7411, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9482, predictive_accuracy: 0.9495, prior_entropy: 0.6204, recall: 0.9495, relative_absolute_error: 0.3109, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.5474, scimark_benchmark: 1250.2412, usercpu_time_millis: 446.854, usercpu_time_millis_testing: 2.804, usercpu_time_millis_training: 444.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9803, kappa: 0.9235, kb_relative_information_score: 5940.5096, mean_absolute_error: 0.0259, 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: 0.0992, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.3132, scimark_benchmark: 1256.4505, usercpu_time_millis: 397.758, usercpu_time_millis_testing: 3.049, usercpu_time_millis_training: 394.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6547.7532, mean_absolute_error: 0.0021, 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: 0.0081, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0231, root_relative_squared_error: 0.064, scimark_benchmark: 1266.773, usercpu_time_millis: 260.206, usercpu_time_millis_testing: 1.442, usercpu_time_millis_training: 258.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1278.7471, usercpu_time_millis: 243.541, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 242.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1278.319, usercpu_time_millis: 230.27, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 229.541,

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

OpenML bootcamp

From your own software

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

OpenML APIs