Task
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: 4702.7877, mean_absolute_error: 0.0712, 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: 0.2729, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.5408, scimark_benchmark: 1231.6141, usercpu_time_millis: 685.283, usercpu_time_millis_testing: 6.761, usercpu_time_millis_training: 678.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9799, kappa: 0.9223, kb_relative_information_score: 5915.1237, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.98, predictive_accuracy: 0.9801, prior_entropy: 0.6204, recall: 0.9801, relative_absolute_error: 0.1006, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.3201, scimark_benchmark: 1259.5222, usercpu_time_millis: 489.529, usercpu_time_millis_testing: 4.174, usercpu_time_millis_training: 485.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9979, kappa: 0.9919, kb_relative_information_score: 6481.1735, mean_absolute_error: 0.0048, 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: 0.0183, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.043, root_relative_squared_error: 0.1192, scimark_benchmark: 1266.6687, usercpu_time_millis: 267.553, usercpu_time_millis_testing: 1.602, usercpu_time_millis_training: 265.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9491, kappa: 0.8013, kb_relative_information_score: 4710.3926, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9489, predictive_accuracy: 0.9501, prior_entropy: 0.6204, recall: 0.9501, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.5392, scimark_benchmark: 1229.6879, usercpu_time_millis: 633.097, usercpu_time_millis_testing: 6.515, usercpu_time_millis_training: 626.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9558, kappa: 0.8261, kb_relative_information_score: 4730.6247, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9561, predictive_accuracy: 0.9571, prior_entropy: 0.6204, recall: 0.9571, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.5036, scimark_benchmark: 1220.3531, usercpu_time_millis: 425.357, usercpu_time_millis_testing: 2.962, usercpu_time_millis_training: 422.395,
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: 1272.7465, usercpu_time_millis: 231.64, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 230.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9777, kappa: 0.9135, kb_relative_information_score: 5822.6844, mean_absolute_error: 0.0295, 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: 0.1131, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.3417, scimark_benchmark: 1245.6286, usercpu_time_millis: 523.489, usercpu_time_millis_testing: 4.034, usercpu_time_millis_training: 519.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9643, kappa: 0.8614, kb_relative_information_score: 5151.9889, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9642, predictive_accuracy: 0.9648, prior_entropy: 0.6204, recall: 0.9648, relative_absolute_error: 0.2143, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.166, root_relative_squared_error: 0.4596, scimark_benchmark: 1261.0017, usercpu_time_millis: 561.386, usercpu_time_millis_testing: 5.918, usercpu_time_millis_training: 555.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9488, kappa: 0.8, kb_relative_information_score: 4703.9127, 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: 0.1951, root_relative_squared_error: 0.5404, scimark_benchmark: 1266.9065, usercpu_time_millis: 665.97, usercpu_time_millis_testing: 7.291, usercpu_time_millis_training: 658.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9686, kappa: 0.8769, kb_relative_information_score: 5334.1952, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9688, predictive_accuracy: 0.9692, prior_entropy: 0.6204, recall: 0.9692, relative_absolute_error: 0.191, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.4207, scimark_benchmark: 1228.8929, usercpu_time_millis: 403.511, usercpu_time_millis_testing: 3.096, usercpu_time_millis_training: 400.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9631, kappa: 0.8562, kb_relative_information_score: 5217.566, mean_absolute_error: 0.0527, 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: 0.2019, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.4577, scimark_benchmark: 1276.395, usercpu_time_millis: 656.957, usercpu_time_millis_testing: 8.022, usercpu_time_millis_training: 648.935,
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: 1219.5945, usercpu_time_millis: 233.258, usercpu_time_millis_testing: 0.735, usercpu_time_millis_training: 232.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.9285, kappa: 0.7102, kb_relative_information_score: 3960.8824, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9313, predictive_accuracy: 0.9332, prior_entropy: 0.6204, recall: 0.9332, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.6182, scimark_benchmark: 1276.3751, usercpu_time_millis: 608.88, usercpu_time_millis_testing: 6.193, usercpu_time_millis_training: 602.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9604, kappa: 0.845, kb_relative_information_score: 4863.8645, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9606, predictive_accuracy: 0.9614, prior_entropy: 0.6204, recall: 0.9614, relative_absolute_error: 0.2618, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.4802, scimark_benchmark: 1273.1814, usercpu_time_millis: 553.074, usercpu_time_millis_testing: 6.158, usercpu_time_millis_training: 546.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9549, kappa: 0.8222, kb_relative_information_score: 4697.3428, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9552, predictive_accuracy: 0.9562, prior_entropy: 0.6204, recall: 0.9562, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.5083, scimark_benchmark: 1254.1706, usercpu_time_millis: 390.671, usercpu_time_millis_testing: 2.674, usercpu_time_millis_training: 387.997,
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: 1220.9743, usercpu_time_millis: 222.161, usercpu_time_millis_testing: 0.73, usercpu_time_millis_training: 221.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6473.4225, mean_absolute_error: 0.005, 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: 0.0193, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0381, root_relative_squared_error: 0.1056, scimark_benchmark: 1221.47, usercpu_time_millis: 457.23, usercpu_time_millis_testing: 3.292, usercpu_time_millis_training: 453.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9503, kappa: 0.8069, kb_relative_information_score: 4730.4209, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.95, predictive_accuracy: 0.951, prior_entropy: 0.6204, recall: 0.951, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.533, scimark_benchmark: 1218.9781, usercpu_time_millis: 778.533, usercpu_time_millis_testing: 8.839, usercpu_time_millis_training: 769.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6533.3079, mean_absolute_error: 0.0027, 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: 0.0102, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0356, root_relative_squared_error: 0.0986, scimark_benchmark: 1215.9095, usercpu_time_millis: 240.114, usercpu_time_millis_testing: 1.08, usercpu_time_millis_training: 239.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.9197, kappa: 0.6741, kb_relative_information_score: 3492.9082, mean_absolute_error: 0.1152, 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: 0.4415, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6789, scimark_benchmark: 1222.2252, usercpu_time_millis: 715.941, usercpu_time_millis_testing: 7.531, usercpu_time_millis_training: 708.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9653, kappa: 0.8651, kb_relative_information_score: 5195.3044, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9652, predictive_accuracy: 0.9657, prior_entropy: 0.6204, recall: 0.9657, relative_absolute_error: 0.2109, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.4573, scimark_benchmark: 1222.4577, usercpu_time_millis: 801.558, usercpu_time_millis_testing: 8.601, usercpu_time_millis_training: 792.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9746, kappa: 0.9011, kb_relative_information_score: 5628.4011, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9747, predictive_accuracy: 0.975, prior_entropy: 0.6204, recall: 0.975, relative_absolute_error: 0.1418, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.138, root_relative_squared_error: 0.3822, scimark_benchmark: 1264.3073, usercpu_time_millis: 567.975, usercpu_time_millis_testing: 5.19, usercpu_time_millis_training: 562.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9937, kappa: 0.9757, kb_relative_information_score: 6319.7795, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9937, predictive_accuracy: 0.9936, prior_entropy: 0.6204, recall: 0.9936, relative_absolute_error: 0.0405, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.1897, scimark_benchmark: 1232.4649, usercpu_time_millis: 337.552, usercpu_time_millis_testing: 2.65, usercpu_time_millis_training: 334.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9633, kappa: 0.8571, kb_relative_information_score: 5148.9097, mean_absolute_error: 0.056, 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: 0.2148, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.168, root_relative_squared_error: 0.4652, scimark_benchmark: 1269.7598, usercpu_time_millis: 632.883, usercpu_time_millis_testing: 6.707, usercpu_time_millis_training: 626.176,
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: 1262.1122, usercpu_time_millis: 246.352, usercpu_time_millis_testing: 0.747, usercpu_time_millis_training: 245.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6519.9234, mean_absolute_error: 0.0032, 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: 0.0122, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0385, root_relative_squared_error: 0.1065, scimark_benchmark: 1262.1928, usercpu_time_millis: 247.303, usercpu_time_millis_testing: 1.146, usercpu_time_millis_training: 246.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.9297, kappa: 0.7152, kb_relative_information_score: 4022.7542, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9325, predictive_accuracy: 0.9342, prior_entropy: 0.6204, recall: 0.9342, relative_absolute_error: 0.3743, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.6103, scimark_benchmark: 1229.1223, usercpu_time_millis: 650.575, usercpu_time_millis_testing: 4.88, usercpu_time_millis_training: 645.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9555, kappa: 0.8248, kb_relative_information_score: 4715.4502, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9558, predictive_accuracy: 0.9568, prior_entropy: 0.6204, recall: 0.9568, relative_absolute_error: 0.271, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.506, scimark_benchmark: 1269.8375, usercpu_time_millis: 345.437, usercpu_time_millis_testing: 2.595, usercpu_time_millis_training: 342.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9977, kappa: 0.9913, kb_relative_information_score: 6485.9862, 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: 0.0165, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.045, root_relative_squared_error: 0.1245, scimark_benchmark: 1255.9048, usercpu_time_millis: 234.218, usercpu_time_millis_testing: 1.335, usercpu_time_millis_training: 232.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6566.2522, mean_absolute_error: 0.0014, 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: 0.0052, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0141, root_relative_squared_error: 0.0389, scimark_benchmark: 1219.7752, usercpu_time_millis: 425.963, usercpu_time_millis_testing: 2.501, usercpu_time_millis_training: 423.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9488, kappa: 0.8, kb_relative_information_score: 4703.7066, 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: 0.1952, root_relative_squared_error: 0.5407, scimark_benchmark: 1223.7772, usercpu_time_millis: 739.352, usercpu_time_millis_testing: 6.185, usercpu_time_millis_training: 733.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9796, kappa: 0.9211, kb_relative_information_score: 5909.5966, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9796, predictive_accuracy: 0.9798, prior_entropy: 0.6204, recall: 0.9798, relative_absolute_error: 0.1015, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.3211, scimark_benchmark: 1251.9997, usercpu_time_millis: 482.461, usercpu_time_millis_testing: 3.726, usercpu_time_millis_training: 478.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9924, kappa: 0.971, kb_relative_information_score: 6298.8493, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.6204, recall: 0.9924, relative_absolute_error: 0.0425, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.072, root_relative_squared_error: 0.1994, scimark_benchmark: 1261.6371, usercpu_time_millis: 255.28, usercpu_time_millis_testing: 2.231, usercpu_time_millis_training: 253.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9989, kappa: 0.9959, kb_relative_information_score: 6535.1887, mean_absolute_error: 0.0026, 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: 0.0098, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.029, root_relative_squared_error: 0.0804, scimark_benchmark: 1258.1188, usercpu_time_millis: 323.347, usercpu_time_millis_testing: 2.463, usercpu_time_millis_training: 320.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.9197, kappa: 0.6738, kb_relative_information_score: 3495.234, mean_absolute_error: 0.1152, 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: 0.4417, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.245, root_relative_squared_error: 0.6785, scimark_benchmark: 1215.8797, usercpu_time_millis: 577.742, usercpu_time_millis_testing: 5.115, usercpu_time_millis_training: 572.627,
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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: 1274.1489, usercpu_time_millis: 238.362, usercpu_time_millis_testing: 0.705, usercpu_time_millis_training: 237.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.972, kappa: 0.8912, kb_relative_information_score: 5524.9979, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.972, predictive_accuracy: 0.9724, prior_entropy: 0.6204, recall: 0.9724, relative_absolute_error: 0.1653, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.142, root_relative_squared_error: 0.3932, scimark_benchmark: 1241.4611, usercpu_time_millis: 436.773, usercpu_time_millis_testing: 3.377, usercpu_time_millis_training: 433.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9678, kappa: 0.8749, kb_relative_information_score: 5325.0385, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9677, predictive_accuracy: 0.9682, prior_entropy: 0.6204, recall: 0.9682, relative_absolute_error: 0.1899, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.4409, scimark_benchmark: 1270.723, usercpu_time_millis: 553.29, usercpu_time_millis_testing: 5.687, usercpu_time_millis_training: 547.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9891, kappa: 0.958, kb_relative_information_score: 6094.1223, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.6204, recall: 0.9891, relative_absolute_error: 0.0747, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.2578, scimark_benchmark: 1270.5377, usercpu_time_millis: 310.985, usercpu_time_millis_testing: 2.508, usercpu_time_millis_training: 308.477,
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: 1269.8202, usercpu_time_millis: 240.349, usercpu_time_millis_testing: 0.731, usercpu_time_millis_training: 239.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.7117, 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: 0.0152, root_relative_squared_error: 0.0421, scimark_benchmark: 1273.8708, usercpu_time_millis: 236.794, usercpu_time_millis_testing: 0.701, usercpu_time_millis_training: 236.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9578, kappa: 0.8343, kb_relative_information_score: 4861.9669, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.958, predictive_accuracy: 0.9589, prior_entropy: 0.6204, recall: 0.9589, relative_absolute_error: 0.2503, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.4831, scimark_benchmark: 1223.6402, usercpu_time_millis: 400.061, usercpu_time_millis_testing: 2.615, usercpu_time_millis_training: 397.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9528, kappa: 0.8121, kb_relative_information_score: 4678.2147, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.954, predictive_accuracy: 0.9547, prior_entropy: 0.6204, recall: 0.9547, relative_absolute_error: 0.2748, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.5197, scimark_benchmark: 1209.6526, usercpu_time_millis: 564.686, usercpu_time_millis_testing: 5.221, usercpu_time_millis_training: 559.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9488, kappa: 0.7998, kb_relative_information_score: 4706.6352, mean_absolute_error: 0.0708, 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: 0.2714, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5406, scimark_benchmark: 1236.1342, usercpu_time_millis: 552.824, usercpu_time_millis_testing: 5.646, usercpu_time_millis_training: 547.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6556.0006, mean_absolute_error: 0.0018, 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: 0.007, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0163, root_relative_squared_error: 0.0451, scimark_benchmark: 1271.7151, usercpu_time_millis: 355.964, usercpu_time_millis_testing: 3.06, usercpu_time_millis_training: 352.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.979, kappa: 0.9188, kb_relative_information_score: 5665.846, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9789, predictive_accuracy: 0.9791, prior_entropy: 0.6204, recall: 0.9791, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.126, root_relative_squared_error: 0.3488, scimark_benchmark: 1279.4796, usercpu_time_millis: 278.438, usercpu_time_millis_testing: 2.214, usercpu_time_millis_training: 276.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6538.3317, mean_absolute_error: 0.0024, 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: 0.0092, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.034, root_relative_squared_error: 0.0943, scimark_benchmark: 1264.4918, usercpu_time_millis: 205.931, usercpu_time_millis_testing: 1.016, usercpu_time_millis_training: 204.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9563, kappa: 0.828, kb_relative_information_score: 4763.2807, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9566, predictive_accuracy: 0.9576, prior_entropy: 0.6204, recall: 0.9576, relative_absolute_error: 0.2644, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.4989, scimark_benchmark: 1246.1347, usercpu_time_millis: 364.275, usercpu_time_millis_testing: 2.681, usercpu_time_millis_training: 361.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9666, kappa: 0.87, kb_relative_information_score: 5158.871, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9665, predictive_accuracy: 0.9671, prior_entropy: 0.6204, recall: 0.9671, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.4344, scimark_benchmark: 1219.3927, usercpu_time_millis: 355.789, usercpu_time_millis_testing: 2.537, usercpu_time_millis_training: 353.252,
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: 1269.5664, usercpu_time_millis: 213.535, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 212.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9485, kappa: 0.7983, kb_relative_information_score: 4681.9873, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9483, predictive_accuracy: 0.9497, prior_entropy: 0.6204, recall: 0.9497, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.5448, scimark_benchmark: 1271.7, usercpu_time_millis: 447.494, usercpu_time_millis_testing: 4.509, usercpu_time_millis_training: 442.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6578.4161, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0096, root_relative_squared_error: 0.0265, scimark_benchmark: 1260.5643, usercpu_time_millis: 270.423, usercpu_time_millis_testing: 2.016, usercpu_time_millis_training: 268.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6570.5365, mean_absolute_error: 0.001, 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: 0.0037, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0199, root_relative_squared_error: 0.055, scimark_benchmark: 1220.155, usercpu_time_millis: 232.546, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 231.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6567.8914, mean_absolute_error: 0.0011, 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: 0.004, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0211, root_relative_squared_error: 0.0584, scimark_benchmark: 1275.3241, usercpu_time_millis: 183.006, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 182.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9674, kappa: 0.8727, kb_relative_information_score: 5399.1431, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9675, predictive_accuracy: 0.968, prior_entropy: 0.6204, recall: 0.968, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.4203, scimark_benchmark: 1260.2514, usercpu_time_millis: 415.837, usercpu_time_millis_testing: 3.669, usercpu_time_millis_training: 412.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9973, kappa: 0.9896, kb_relative_information_score: 6455.4912, 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: 0.0211, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.1402, scimark_benchmark: 1274.3161, usercpu_time_millis: 228.221, usercpu_time_millis_testing: 1.313, usercpu_time_millis_training: 226.908,
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: 1257.5173, usercpu_time_millis: 217.187, usercpu_time_millis_testing: 0.687, usercpu_time_millis_training: 216.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9772, kappa: 0.9118, kb_relative_information_score: 5794.5197, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9772, predictive_accuracy: 0.9774, prior_entropy: 0.6204, recall: 0.9774, relative_absolute_error: 0.1245, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.126, root_relative_squared_error: 0.349, scimark_benchmark: 1237.758, usercpu_time_millis: 340.04, usercpu_time_millis_testing: 2.704, usercpu_time_millis_training: 337.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9874, kappa: 0.9516, kb_relative_information_score: 6006.0085, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9874, predictive_accuracy: 0.9874, prior_entropy: 0.6204, recall: 0.9874, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1004, root_relative_squared_error: 0.278, scimark_benchmark: 1232.1594, usercpu_time_millis: 318.137, usercpu_time_millis_testing: 2.468, usercpu_time_millis_training: 315.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9906, kappa: 0.9637, kb_relative_information_score: 6160.8717, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.6204, recall: 0.9906, relative_absolute_error: 0.0652, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.2406, scimark_benchmark: 1222.4364, usercpu_time_millis: 312.588, usercpu_time_millis_testing: 2.308, usercpu_time_millis_training: 310.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9494, kappa: 0.8021, kb_relative_information_score: 4704.1715, mean_absolute_error: 0.0711, 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: 0.2727, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.5408, scimark_benchmark: 1265.6131, usercpu_time_millis: 655.094, usercpu_time_millis_testing: 6.859, usercpu_time_millis_training: 648.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6547.0477, mean_absolute_error: 0.0022, 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: 0.0083, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0234, root_relative_squared_error: 0.0647, scimark_benchmark: 1213.0528, usercpu_time_millis: 270.698, usercpu_time_millis_testing: 1.369, usercpu_time_millis_training: 269.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9546, kappa: 0.8222, kb_relative_information_score: 4875.3108, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9545, predictive_accuracy: 0.9556, prior_entropy: 0.6204, recall: 0.9556, relative_absolute_error: 0.2481, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.5091, scimark_benchmark: 1276.4096, usercpu_time_millis: 635.28, usercpu_time_millis_testing: 6.662, usercpu_time_millis_training: 628.618,
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: 1218.5323, usercpu_time_millis: 255.632, usercpu_time_millis_testing: 0.826, usercpu_time_millis_training: 254.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9476, kappa: 0.795, kb_relative_information_score: 4683.5795, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9473, predictive_accuracy: 0.9486, prior_entropy: 0.6204, recall: 0.9486, relative_absolute_error: 0.2751, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.5432, scimark_benchmark: 1209.576, usercpu_time_millis: 557.87, usercpu_time_millis_testing: 4.723, usercpu_time_millis_training: 553.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9769, kappa: 0.9106, kb_relative_information_score: 5772.32, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9769, predictive_accuracy: 0.9771, prior_entropy: 0.6204, recall: 0.9771, relative_absolute_error: 0.1283, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.354, scimark_benchmark: 1259.4286, usercpu_time_millis: 340.404, usercpu_time_millis_testing: 2.457, usercpu_time_millis_training: 337.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9651, kappa: 0.8644, kb_relative_information_score: 5200.5517, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.965, predictive_accuracy: 0.9656, prior_entropy: 0.6204, recall: 0.9656, relative_absolute_error: 0.21, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.4562, scimark_benchmark: 1264.3851, usercpu_time_millis: 667.395, usercpu_time_millis_testing: 8.105, usercpu_time_millis_training: 659.29,

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