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Supervised Classification on chscase_census3

Supervised Classification on chscase_census3

Task 3771 Supervised Classification chscase_census3 568 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0245, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0245, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0245, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0245, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0245, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0245, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.022, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1261.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.4234, kappa: -0.0111, kb_relative_information_score: 9.0209, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4879, predictive_accuracy: 0.51, prior_entropy: 0.9989, recall: 0.51, relative_absolute_error: 0.9767, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.2879, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0245, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.451, f_measure: 0.4529, kappa: -0.09, kb_relative_information_score: -6.9659, mean_absolute_error: 0.5055, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4541, predictive_accuracy: 0.46, prior_entropy: 0.9989, recall: 0.46, relative_absolute_error: 1.0126, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0316, scimark_benchmark: 918.0213, usercpu_time_millis: 2650, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4402, f_measure: 0.4524, kappa: -0.097, kb_relative_information_score: -14.6307, mean_absolute_error: 0.5135, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4524, predictive_accuracy: 0.4525, prior_entropy: 0.9989, recall: 0.4525, relative_absolute_error: 1.0287, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5349, root_relative_squared_error: 1.0707, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0245, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0245, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.022, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0245, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4402, f_measure: 0.4524, kappa: -0.097, kb_relative_information_score: -14.6307, mean_absolute_error: 0.5135, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4524, predictive_accuracy: 0.4525, prior_entropy: 0.9989, recall: 0.4525, relative_absolute_error: 1.0287, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5349, root_relative_squared_error: 1.0707, scimark_benchmark: 1322.7383, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.471, f_measure: 0.4668, kappa: -0.0668, kb_relative_information_score: -6.4676, mean_absolute_error: 0.5053, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4669, predictive_accuracy: 0.47, prior_entropy: 0.9989, recall: 0.47, relative_absolute_error: 1.0122, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5205, root_relative_squared_error: 1.0419, scimark_benchmark: 1311.9814, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0245, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.451, f_measure: 0.4529, kappa: -0.09, kb_relative_information_score: -6.9655, mean_absolute_error: 0.5055, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4541, predictive_accuracy: 0.46, prior_entropy: 0.9989, recall: 0.46, relative_absolute_error: 1.0126, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0316, scimark_benchmark: 1312.0581, usercpu_time_millis: 2780, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4878, f_measure: 0.4742, kappa: -0.0182, kb_relative_information_score: 1.2416, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4906, predictive_accuracy: 0.485, prior_entropy: 0.9989, recall: 0.485, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0182, scimark_benchmark: 915.9324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4878, f_measure: 0.4742, kappa: -0.0182, kb_relative_information_score: 1.2416, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4906, predictive_accuracy: 0.485, prior_entropy: 0.9989, recall: 0.485, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0182, scimark_benchmark: 1337.5749, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5231, f_measure: 0.4994, kappa: 0.0032, kb_relative_information_score: 6.8395, mean_absolute_error: 0.4906, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.5024, predictive_accuracy: 0.5, prior_entropy: 0.9989, recall: 0.5, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.525, root_relative_squared_error: 1.0509, scimark_benchmark: 1320.9026, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.022, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4477, f_measure: 0.4703, kappa: -0.0478, kb_relative_information_score: -6.6889, mean_absolute_error: 0.5056, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4751, predictive_accuracy: 0.4825, prior_entropy: 0.9989, recall: 0.4825, relative_absolute_error: 1.0127, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5092, root_relative_squared_error: 1.0193, scimark_benchmark: 1329.8902, usercpu_time_millis: 170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.022, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1249.4068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4878, f_measure: 0.4742, kappa: -0.0182, kb_relative_information_score: 1.2416, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4906, predictive_accuracy: 0.485, prior_entropy: 0.9989, recall: 0.485, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0182, scimark_benchmark: 1343.2125, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5231, f_measure: 0.4994, kappa: 0.0032, kb_relative_information_score: 6.8395, mean_absolute_error: 0.4906, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.5024, predictive_accuracy: 0.5, prior_entropy: 0.9989, recall: 0.5, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.525, root_relative_squared_error: 1.0509, scimark_benchmark: 833.3193, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4593, f_measure: 0.4676, kappa: -0.0633, kb_relative_information_score: -24.7594, mean_absolute_error: 0.5298, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4684, predictive_accuracy: 0.4725, prior_entropy: 0.9989, recall: 0.4725, relative_absolute_error: 1.0614, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6886, root_relative_squared_error: 1.3784, scimark_benchmark: 1337.8643, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.022, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1338.9438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.467, f_measure: 0.4548, kappa: -0.0497, kb_relative_information_score: -8.7842, mean_absolute_error: 0.5089, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4701, predictive_accuracy: 0.485, prior_entropy: 0.9989, recall: 0.485, relative_absolute_error: 1.0193, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5194, root_relative_squared_error: 1.0396, scimark_benchmark: 1314.9535, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0245, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 937.1527, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4878, f_measure: 0.4742, kappa: -0.0182, kb_relative_information_score: 1.2416, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4906, predictive_accuracy: 0.485, prior_entropy: 0.9989, recall: 0.485, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0182, scimark_benchmark: 1354.8751, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4872, f_measure: 0.4951, kappa: -0.0081, kb_relative_information_score: -1.1205, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4967, predictive_accuracy: 0.5, prior_entropy: 0.9989, recall: 0.5, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0129, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.022, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1330.2021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4922, f_measure: 0.4814, kappa: -0.0307, kb_relative_information_score: -1.4947, mean_absolute_error: 0.5006, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4847, predictive_accuracy: 0.49, prior_entropy: 0.9989, recall: 0.49, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5062, root_relative_squared_error: 1.0131, scimark_benchmark: 1353.2625, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.486, kappa: -0.0274, kb_relative_information_score: -4.3686, mean_absolute_error: 0.5031, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4868, predictive_accuracy: 0.49, prior_entropy: 0.9989, recall: 0.49, relative_absolute_error: 1.0079, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.626, root_relative_squared_error: 1.2529, scimark_benchmark: 943.1756, usercpu_time_millis: 1480, usercpu_time_millis_testing: 1480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.5067, kappa: 0.0272, kb_relative_information_score: 15.1164, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.5156, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3868, scimark_benchmark: 1311.9814, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5122, f_measure: 0.4948, kappa: 0.0142, kb_relative_information_score: 1.2653, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.509, predictive_accuracy: 0.515, prior_entropy: 0.9989, recall: 0.515, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.508, root_relative_squared_error: 1.0169, scimark_benchmark: 1360.2999, usercpu_time_millis: 430, usercpu_time_millis_testing: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4722, f_measure: 0.4726, kappa: -0.0559, kb_relative_information_score: -20.9661, mean_absolute_error: 0.525, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4726, predictive_accuracy: 0.475, prior_entropy: 0.9989, recall: 0.475, relative_absolute_error: 1.0517, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7246, root_relative_squared_error: 1.4503, scimark_benchmark: 1449.4352, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4579, f_measure: 0.4704, kappa: -0.058, kb_relative_information_score: -8.7461, mean_absolute_error: 0.508, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4711, predictive_accuracy: 0.475, prior_entropy: 0.9989, recall: 0.475, relative_absolute_error: 1.0177, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5199, root_relative_squared_error: 1.0407, scimark_benchmark: 935.5075, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4617, f_measure: 0.4768, kappa: -0.0467, kb_relative_information_score: -7.5047, mean_absolute_error: 0.5068, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4771, predictive_accuracy: 0.48, prior_entropy: 0.9989, recall: 0.48, relative_absolute_error: 1.0152, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.036, scimark_benchmark: 1304.6687, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4759, f_measure: 0.48, kappa: -0.041, kb_relative_information_score: -4.1736, mean_absolute_error: 0.5032, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4801, predictive_accuracy: 0.4825, prior_entropy: 0.9989, recall: 0.4825, relative_absolute_error: 1.0081, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5116, root_relative_squared_error: 1.024, scimark_benchmark: 939.5088, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4742, f_measure: 0.4813, kappa: -0.0394, kb_relative_information_score: -4.5372, mean_absolute_error: 0.5036, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4811, predictive_accuracy: 0.4825, prior_entropy: 0.9989, recall: 0.4825, relative_absolute_error: 1.0088, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.0227, scimark_benchmark: 1335.643, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.5117, kappa: 0.0234, kb_relative_information_score: -2.3093, mean_absolute_error: 0.5035, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.5127, predictive_accuracy: 0.515, prior_entropy: 0.9989, recall: 0.515, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5464, root_relative_squared_error: 1.0938, scimark_benchmark: 1372.2145, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5223, f_measure: 0.5332, kappa: 0.0651, kb_relative_information_score: 9.5575, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.5336, predictive_accuracy: 0.535, prior_entropy: 0.9989, recall: 0.535, relative_absolute_error: 0.9816, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5615, root_relative_squared_error: 1.1239, scimark_benchmark: 1325.2092, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3558, kb_relative_information_score: 15.1164, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3868, scimark_benchmark: 1318.1432, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3558, kb_relative_information_score: 15.1164, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3868, scimark_benchmark: 1333.5799, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4748, f_measure: 0.4294, kappa: -0.0517, kb_relative_information_score: -10.9432, mean_absolute_error: 0.5125, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4596, predictive_accuracy: 0.4875, prior_entropy: 0.9989, recall: 0.4875, relative_absolute_error: 1.0266, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7159, root_relative_squared_error: 1.4329, scimark_benchmark: 1287.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4636, f_measure: 0.4294, kappa: -0.0517, kb_relative_information_score: -4.2082, mean_absolute_error: 0.5032, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4596, predictive_accuracy: 0.4875, prior_entropy: 0.9989, recall: 0.4875, relative_absolute_error: 1.0079, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5061, root_relative_squared_error: 1.013, scimark_benchmark: 1386.5717, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.5067, kappa: 0.0272, kb_relative_information_score: 15.1164, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.5156, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3868, scimark_benchmark: 942.6843, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.451, f_measure: 0.4529, kappa: -0.09, kb_relative_information_score: -6.9659, mean_absolute_error: 0.5055, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4541, predictive_accuracy: 0.46, prior_entropy: 0.9989, recall: 0.46, relative_absolute_error: 1.0126, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0316, scimark_benchmark: 918.0213, usercpu_time_millis: 3730, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0245, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1325.942, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0245, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1304.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.3558, kb_relative_information_score: -0.0271, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.2704, predictive_accuracy: 0.52, prior_entropy: 0.9989, recall: 0.52, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1250.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.471, f_measure: 0.4668, kappa: -0.0668, kb_relative_information_score: -6.4676, mean_absolute_error: 0.5053, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4669, predictive_accuracy: 0.47, prior_entropy: 0.9989, recall: 0.47, relative_absolute_error: 1.0122, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5205, root_relative_squared_error: 1.0419, scimark_benchmark: 1315.3881, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5164, f_measure: 0.5173, kappa: 0.0329, kb_relative_information_score: 13.1118, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.5172, predictive_accuracy: 0.5175, prior_entropy: 0.9989, recall: 0.5175, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6946, root_relative_squared_error: 1.3904, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4637, f_measure: 0.4495, kappa: -0.0599, kb_relative_information_score: -8.4992, mean_absolute_error: 0.508, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4638, predictive_accuracy: 0.48, prior_entropy: 0.9989, recall: 0.48, relative_absolute_error: 1.0175, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.544, root_relative_squared_error: 1.0889, scimark_benchmark: 1320.2556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4898, f_measure: 0.4077, kappa: -0.0087, kb_relative_information_score: -0.1898, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4874, predictive_accuracy: 0.5125, prior_entropy: 0.9989, recall: 0.5125, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.0324, scimark_benchmark: 1309.3173, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4762, f_measure: 0.4747, kappa: -0.0475, kb_relative_information_score: -20.9661, mean_absolute_error: 0.525, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4769, predictive_accuracy: 0.475, prior_entropy: 0.9989, recall: 0.475, relative_absolute_error: 1.0517, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7246, root_relative_squared_error: 1.4503, scimark_benchmark: 1372.2145, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4926, f_measure: 0.427, kappa: -0.0153, kb_relative_information_score: 5.0935, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4847, predictive_accuracy: 0.5075, prior_entropy: 0.9989, recall: 0.5075, relative_absolute_error: 0.9866, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7018, root_relative_squared_error: 1.4047, scimark_benchmark: 1280.6952, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs