Task
Supervised Classification on braziltourism

Supervised Classification on braziltourism

Task 3820 Supervised Classification braziltourism 492 runs submitted
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  • study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, build_cpu_time: 0.1233, build_memory: 80662948.1553, f_measure: 0.7592, kappa: 0.2639, kb_relative_information_score: 53.244, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7637, predictive_accuracy: 0.7913, prior_entropy: 0.7771, recall: 0.7913, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.9451, scimark_benchmark: 921.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, build_cpu_time: 0.0948, build_memory: 195720292.9126, f_measure: 0.7592, kappa: 0.2639, kb_relative_information_score: 53.244, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7637, predictive_accuracy: 0.7913, prior_entropy: 0.7771, recall: 0.7913, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.9451, scimark_benchmark: 903.9415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.6916, kappa: 0.0498, kb_relative_information_score: 105.1894, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7042, predictive_accuracy: 0.7694, prior_entropy: 0.7771, recall: 0.7694, relative_absolute_error: 0.6534, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4802, root_relative_squared_error: 1.1443, scimark_benchmark: 932.5646, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.6916, kappa: 0.0498, kb_relative_information_score: 105.1894, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7042, predictive_accuracy: 0.7694, prior_entropy: 0.7771, recall: 0.7694, relative_absolute_error: 0.6534, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4802, root_relative_squared_error: 1.1443, scimark_benchmark: 1321.4771, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.7357, kappa: 0.1871, kb_relative_information_score: 40.2678, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7415, predictive_accuracy: 0.7791, prior_entropy: 0.7771, recall: 0.7791, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.9526, scimark_benchmark: 1328.1785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7566, kappa: 0.2656, kb_relative_information_score: 40.5905, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7516, predictive_accuracy: 0.7791, prior_entropy: 0.7771, recall: 0.7791, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9773, scimark_benchmark: 1299.5896, usercpu_time_millis: 190, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.7406, kappa: 0.2077, kb_relative_information_score: 30.1436, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.738, predictive_accuracy: 0.7743, prior_entropy: 0.7771, recall: 0.7743, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.411, root_relative_squared_error: 0.9795, scimark_benchmark: 1336.4564, usercpu_time_millis: 3210, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5927, f_measure: 0.7142, kappa: 0.1178, kb_relative_information_score: 17.6282, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7275, predictive_accuracy: 0.7743, prior_entropy: 0.7771, recall: 0.7743, relative_absolute_error: 0.9281, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.9992, scimark_benchmark: 1318.3027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.7357, kappa: 0.1871, kb_relative_information_score: 40.2678, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7415, predictive_accuracy: 0.7791, prior_entropy: 0.7771, recall: 0.7791, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.9526, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.7357, kappa: 0.1871, kb_relative_information_score: 40.2678, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7415, predictive_accuracy: 0.7791, prior_entropy: 0.7771, recall: 0.7791, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.9526, scimark_benchmark: 1320.8688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.7406, kappa: 0.2077, kb_relative_information_score: 30.1436, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.738, predictive_accuracy: 0.7743, prior_entropy: 0.7771, recall: 0.7743, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.411, root_relative_squared_error: 0.9795, scimark_benchmark: 1341.5795, usercpu_time_millis: 3580, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7566, kappa: 0.2656, kb_relative_information_score: 40.5905, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7516, predictive_accuracy: 0.7791, prior_entropy: 0.7771, recall: 0.7791, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9773, scimark_benchmark: 1322.7257, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.7357, kappa: 0.1871, kb_relative_information_score: 40.2678, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7415, predictive_accuracy: 0.7791, prior_entropy: 0.7771, recall: 0.7791, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.9526, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.7406, kappa: 0.2077, kb_relative_information_score: 30.1436, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.738, predictive_accuracy: 0.7743, prior_entropy: 0.7771, recall: 0.7743, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.411, root_relative_squared_error: 0.9795, scimark_benchmark: 1334.8032, usercpu_time_millis: 3350, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.7357, kappa: 0.1871, kb_relative_information_score: 40.2678, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7415, predictive_accuracy: 0.7791, prior_entropy: 0.7771, recall: 0.7791, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.9526, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.7357, kappa: 0.1871, kb_relative_information_score: 40.2678, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7415, predictive_accuracy: 0.7791, prior_entropy: 0.7771, recall: 0.7791, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.9526, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.7357, kappa: 0.1871, kb_relative_information_score: 40.2678, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7415, predictive_accuracy: 0.7791, prior_entropy: 0.7771, recall: 0.7791, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.9526, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.7357, kappa: 0.1871, kb_relative_information_score: 40.2678, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7415, predictive_accuracy: 0.7791, prior_entropy: 0.7771, recall: 0.7791, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.9526, scimark_benchmark: 1331.4379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.7357, kappa: 0.1871, kb_relative_information_score: 40.2678, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7415, predictive_accuracy: 0.7791, prior_entropy: 0.7771, recall: 0.7791, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.9526, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.6916, kappa: 0.0498, kb_relative_information_score: 105.1894, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7042, predictive_accuracy: 0.7694, prior_entropy: 0.7771, recall: 0.7694, relative_absolute_error: 0.6534, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4802, root_relative_squared_error: 1.1443, scimark_benchmark: 1375.1578, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.7357, kappa: 0.1871, kb_relative_information_score: 40.2678, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7415, predictive_accuracy: 0.7791, prior_entropy: 0.7771, recall: 0.7791, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.9526, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.6916, kappa: 0.0498, kb_relative_information_score: 105.1894, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7042, predictive_accuracy: 0.7694, prior_entropy: 0.7771, recall: 0.7694, relative_absolute_error: 0.6534, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4802, root_relative_squared_error: 1.1443, scimark_benchmark: 1346.2927, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7099, f_measure: 0.7387, kappa: 0.2125, kb_relative_information_score: 33.9067, mean_absolute_error: 0.3004, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7303, predictive_accuracy: 0.7621, prior_entropy: 0.7771, recall: 0.7621, relative_absolute_error: 0.8511, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.9787, scimark_benchmark: 1336.0954, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.7357, kappa: 0.1871, kb_relative_information_score: 40.2678, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7415, predictive_accuracy: 0.7791, prior_entropy: 0.7771, recall: 0.7791, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.9526, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, f_measure: 0.7225, kappa: 0.1443, kb_relative_information_score: -46.4978, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7298, predictive_accuracy: 0.7743, prior_entropy: 0.7771, recall: 0.7743, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.9688, scimark_benchmark: 1292.514, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5927, f_measure: 0.7142, kappa: 0.1178, kb_relative_information_score: 17.6282, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7275, predictive_accuracy: 0.7743, prior_entropy: 0.7771, recall: 0.7743, relative_absolute_error: 0.9281, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.9992, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.7357, kappa: 0.1871, kb_relative_information_score: 40.2678, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7415, predictive_accuracy: 0.7791, prior_entropy: 0.7771, recall: 0.7791, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.9526, scimark_benchmark: 1331.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.7357, kappa: 0.1871, kb_relative_information_score: 40.2678, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7415, predictive_accuracy: 0.7791, prior_entropy: 0.7771, recall: 0.7791, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.9526, scimark_benchmark: 1333.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.7302, kappa: 0.1677, kb_relative_information_score: 32.3567, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7455, predictive_accuracy: 0.7816, prior_entropy: 0.7771, recall: 0.7816, relative_absolute_error: 0.8578, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.9588, scimark_benchmark: 1337.8124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.7357, kappa: 0.1871, kb_relative_information_score: 40.2678, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7415, predictive_accuracy: 0.7791, prior_entropy: 0.7771, recall: 0.7791, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.9526, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, f_measure: 0.7225, kappa: 0.1443, kb_relative_information_score: -46.4978, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7298, predictive_accuracy: 0.7743, prior_entropy: 0.7771, recall: 0.7743, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.9688, scimark_benchmark: 1346.1568, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7566, kappa: 0.2656, kb_relative_information_score: 40.5905, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7516, predictive_accuracy: 0.7791, prior_entropy: 0.7771, recall: 0.7791, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9773, scimark_benchmark: 1345.6844, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.7357, kappa: 0.1871, kb_relative_information_score: 40.2678, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7415, predictive_accuracy: 0.7791, prior_entropy: 0.7771, recall: 0.7791, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.9526, scimark_benchmark: 1347.1763,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.7357, kappa: 0.1871, kb_relative_information_score: 40.2678, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7415, predictive_accuracy: 0.7791, prior_entropy: 0.7771, recall: 0.7791, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.9526, scimark_benchmark: 1292.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5927, f_measure: 0.7142, kappa: 0.1178, kb_relative_information_score: 17.6282, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7275, predictive_accuracy: 0.7743, prior_entropy: 0.7771, recall: 0.7743, relative_absolute_error: 0.9281, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.9992, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.7702, kappa: 0.2994, kb_relative_information_score: 85.2665, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.775, predictive_accuracy: 0.7985, prior_entropy: 0.7771, recall: 0.7985, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.9622, scimark_benchmark: 1340.9446, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.7477, kappa: 0.2252, kb_relative_information_score: 49.4145, mean_absolute_error: 0.2907, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7551, predictive_accuracy: 0.7864, prior_entropy: 0.7771, recall: 0.7864, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.9418, scimark_benchmark: 1309.4998, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5219, f_measure: 0.692, kappa: 0.0541, kb_relative_information_score: -1.4358, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7529, predictive_accuracy: 0.7767, prior_entropy: 0.7771, recall: 0.7767, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.9941, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4847, f_measure: 0.6725, kb_relative_information_score: -0.9555, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.5957, predictive_accuracy: 0.7718, prior_entropy: 0.7771, recall: 0.7718, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4197, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4847, f_measure: 0.6725, kb_relative_information_score: -0.9555, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.5957, predictive_accuracy: 0.7718, prior_entropy: 0.7771, recall: 0.7718, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4197, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.7458, kappa: 0.2154, kb_relative_information_score: 26.0724, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.8188, predictive_accuracy: 0.8034, prior_entropy: 0.7771, recall: 0.8034, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.9403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.7565, kappa: 0.2492, kb_relative_information_score: 18.9579, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7861, predictive_accuracy: 0.801, prior_entropy: 0.7771, recall: 0.801, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.9435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.7302, kappa: 0.1677, kb_relative_information_score: 32.3567, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7455, predictive_accuracy: 0.7816, prior_entropy: 0.7771, recall: 0.7816, relative_absolute_error: 0.8578, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.9588, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.6916, kappa: 0.0498, kb_relative_information_score: 105.1894, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7042, predictive_accuracy: 0.7694, prior_entropy: 0.7771, recall: 0.7694, relative_absolute_error: 0.6534, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4802, root_relative_squared_error: 1.1443, scimark_benchmark: 932.438, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.6937, kappa: 0.0552, kb_relative_information_score: 18.5121, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.699, predictive_accuracy: 0.767, prior_entropy: 0.7771, recall: 0.767, relative_absolute_error: 0.8799, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.9831, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5628, f_measure: 0.7169, kappa: 0.1385, kb_relative_information_score: -18.548, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7055, predictive_accuracy: 0.75, prior_entropy: 0.7771, recall: 0.75, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4514, root_relative_squared_error: 1.0756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.7208, kappa: 0.1392, kb_relative_information_score: 31.413, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7849, predictive_accuracy: 0.7888, prior_entropy: 0.7771, recall: 0.7888, relative_absolute_error: 0.9273, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.9732, scimark_benchmark: 968.0271, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6343, f_measure: 0.7456, kappa: 0.2177, kb_relative_information_score: 16.6464, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.755, predictive_accuracy: 0.7864, prior_entropy: 0.7771, recall: 0.7864, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4265, root_relative_squared_error: 1.0163, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6501, f_measure: 0.7446, kappa: 0.2126, kb_relative_information_score: 27.2285, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7658, predictive_accuracy: 0.7913, prior_entropy: 0.7771, recall: 0.7913, relative_absolute_error: 0.8734, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.9714, scimark_benchmark: 1025.477, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.7132, kappa: 0.1783, kb_relative_information_score: 36.8809, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7107, predictive_accuracy: 0.716, prior_entropy: 0.7771, recall: 0.716, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.1917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5644, f_measure: 0.735, kappa: 0.1821, kb_relative_information_score: 140.5739, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7993, predictive_accuracy: 0.7961, prior_entropy: 0.7771, recall: 0.7961, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4515, root_relative_squared_error: 1.076, scimark_benchmark: 1541.6683, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7237, f_measure: 0.7518, kappa: 0.234, kb_relative_information_score: 34.651, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7918, predictive_accuracy: 0.801, prior_entropy: 0.7771, recall: 0.801, relative_absolute_error: 0.889, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9362, scimark_benchmark: 901.6243, usercpu_time_millis: 2470, usercpu_time_millis_testing: 850, usercpu_time_millis_training: 1620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7566, kappa: 0.2656, kb_relative_information_score: 40.5905, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7516, predictive_accuracy: 0.7791, prior_entropy: 0.7771, recall: 0.7791, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9773, scimark_benchmark: 936.3213, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7566, kappa: 0.2656, kb_relative_information_score: 40.5905, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7516, predictive_accuracy: 0.7791, prior_entropy: 0.7771, recall: 0.7791, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9773, scimark_benchmark: 942.3809, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, f_measure: 0.692, kappa: 0.0541, kb_relative_information_score: 119.5501, mean_absolute_error: 0.2216, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7529, predictive_accuracy: 0.7767, prior_entropy: 0.7771, recall: 0.7767, relative_absolute_error: 0.6279, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4566, root_relative_squared_error: 1.0881, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6725, kb_relative_information_score: 108.4061, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.5957, predictive_accuracy: 0.7718, prior_entropy: 0.7771, recall: 0.7718, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.1382, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6173, f_measure: 0.7499, kappa: 0.2347, kb_relative_information_score: 44.442, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.3529, number_of_instances: 412, precision: 0.7521, predictive_accuracy: 0.784, prior_entropy: 0.7771, recall: 0.784, relative_absolute_error: 0.8632, root_mean_prior_squared_error: 0.4196, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.9999, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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