Task
Supervised Classification on hayes-roth

Supervised Classification on hayes-roth

Task 4542 Supervised Classification hayes-roth 217 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, f_measure: 0.6048, kappa: 0.1891, kb_relative_information_score: 158.2235, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.6861, predictive_accuracy: 0.6659, prior_entropy: 0.9635, recall: 0.6659, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9645, scimark_benchmark: 1314.2279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.7728, kappa: 0.521, kb_relative_information_score: 684.454, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7729, predictive_accuracy: 0.7727, prior_entropy: 0.9635, recall: 0.7727, relative_absolute_error: 0.4746, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7574, scimark_benchmark: 1345.7919, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8099, kappa: 0.5943, kb_relative_information_score: 412.6012, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8151, predictive_accuracy: 0.8144, prior_entropy: 0.9635, recall: 0.8144, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7826, scimark_benchmark: 1330.0291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.8287, kappa: 0.6352, kb_relative_information_score: 864.2573, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8723, predictive_accuracy: 0.8402, prior_entropy: 0.9635, recall: 0.8402, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8211, scimark_benchmark: 1348.2804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, f_measure: 0.6048, kappa: 0.1891, kb_relative_information_score: 158.2235, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.6861, predictive_accuracy: 0.6659, prior_entropy: 0.9635, recall: 0.6659, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9645, scimark_benchmark: 1341.9177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.7728, kappa: 0.521, kb_relative_information_score: 684.454, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7729, predictive_accuracy: 0.7727, prior_entropy: 0.9635, recall: 0.7727, relative_absolute_error: 0.4746, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7574, scimark_benchmark: 1360.8502, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.8287, kappa: 0.6352, kb_relative_information_score: 864.2573, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8723, predictive_accuracy: 0.8402, prior_entropy: 0.9635, recall: 0.8402, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8211, scimark_benchmark: 1335.7955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.8287, kappa: 0.6352, kb_relative_information_score: 864.2573, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8723, predictive_accuracy: 0.8402, prior_entropy: 0.9635, recall: 0.8402, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8211, scimark_benchmark: 1341.3551, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -8.5208, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0063, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -8.5372, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0064, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -8.5208, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0063, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, f_measure: 0.6048, kappa: 0.1891, kb_relative_information_score: 158.2235, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.6861, predictive_accuracy: 0.6659, prior_entropy: 0.9635, recall: 0.6659, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9645, scimark_benchmark: 1344.4042, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -8.5372, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0064, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -8.5372, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0064, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -8.5372, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0064, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -8.5372, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0064, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -8.5372, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0064, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.649, kappa: 0.2724, kb_relative_information_score: 350.198, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.6568, predictive_accuracy: 0.6455, prior_entropy: 0.9635, recall: 0.6455, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8795, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8099, kappa: 0.5943, kb_relative_information_score: 412.6012, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8151, predictive_accuracy: 0.8144, prior_entropy: 0.9635, recall: 0.8144, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7826, scimark_benchmark: 1295.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -8.5208, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0063, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -8.5372, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0064, scimark_benchmark: 933.1165,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.7791, kappa: 0.5303, kb_relative_information_score: 499.6536, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7794, predictive_accuracy: 0.7818, prior_entropy: 0.9635, recall: 0.7818, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7826, scimark_benchmark: 1352.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8099, kappa: 0.5943, kb_relative_information_score: 412.6012, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8151, predictive_accuracy: 0.8144, prior_entropy: 0.9635, recall: 0.8144, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7826, scimark_benchmark: 1327.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.7943, kappa: 0.5653, kb_relative_information_score: 882.2257, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.794, predictive_accuracy: 0.7947, prior_entropy: 0.9635, recall: 0.7947, relative_absolute_error: 0.3145, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.5939, scimark_benchmark: 1337.5749, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -7.905, mean_absolute_error: 0.4766, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4901, root_relative_squared_error: 1.0065, scimark_benchmark: 944.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.5116, kappa: 0.0642, kb_relative_information_score: 102.1544, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7708, predictive_accuracy: 0.6341, prior_entropy: 0.9635, recall: 0.6341, relative_absolute_error: 0.936, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9437, scimark_benchmark: 1317.1597, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8099, kappa: 0.5943, kb_relative_information_score: 412.6012, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8151, predictive_accuracy: 0.8144, prior_entropy: 0.9635, recall: 0.8144, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7826, scimark_benchmark: 1449.4352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, f_measure: 0.6048, kappa: 0.1891, kb_relative_information_score: 158.2235, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.6861, predictive_accuracy: 0.6659, prior_entropy: 0.9635, recall: 0.6659, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9645, scimark_benchmark: 833.3193, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.7791, kappa: 0.5303, kb_relative_information_score: 499.6536, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7794, predictive_accuracy: 0.7818, prior_entropy: 0.9635, recall: 0.7818, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7826, scimark_benchmark: 1334.4761, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.8296, kappa: 0.6359, kb_relative_information_score: 599.1491, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8462, predictive_accuracy: 0.8364, prior_entropy: 0.9635, recall: 0.8364, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7319, scimark_benchmark: 937.1527, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.7699, kappa: 0.5125, kb_relative_information_score: 599.1696, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7694, predictive_accuracy: 0.7712, prior_entropy: 0.9635, recall: 0.7712, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.8182, scimark_benchmark: 1347.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.5655, kappa: 0.1298, kb_relative_information_score: 102.4247, mean_absolute_error: 0.4432, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.6807, predictive_accuracy: 0.6492, prior_entropy: 0.9635, recall: 0.6492, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9451, scimark_benchmark: 1339.8573,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.7732, kappa: 0.5197, kb_relative_information_score: 603.1189, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7726, predictive_accuracy: 0.7742, prior_entropy: 0.9635, recall: 0.7742, relative_absolute_error: 0.5536, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.8069, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8431, kappa: 0.6651, kb_relative_information_score: 789.0472, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8501, predictive_accuracy: 0.847, prior_entropy: 0.9635, recall: 0.847, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.6054, scimark_benchmark: 1304.9611, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8343, kappa: 0.646, kb_relative_information_score: 670.799, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8513, predictive_accuracy: 0.8409, prior_entropy: 0.9635, recall: 0.8409, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.332, root_relative_squared_error: 0.6818, scimark_benchmark: 1324.8395, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.8339, kappa: 0.6452, kb_relative_information_score: 622.5416, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8527, predictive_accuracy: 0.8409, prior_entropy: 0.9635, recall: 0.8409, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.7152, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.8195, kappa: 0.6143, kb_relative_information_score: 534.0376, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8317, predictive_accuracy: 0.8258, prior_entropy: 0.9635, recall: 0.8258, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7676, scimark_benchmark: 1336.3256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7883, kappa: 0.5476, kb_relative_information_score: 433.9036, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8053, predictive_accuracy: 0.7977, prior_entropy: 0.9635, recall: 0.7977, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.7987, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.295, f_measure: 0.3522, kappa: -0.3834, kb_relative_information_score: -262.4272, mean_absolute_error: 0.5424, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.3376, predictive_accuracy: 0.3705, prior_entropy: 0.9635, recall: 0.3705, relative_absolute_error: 1.1429, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2149, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4777, f_measure: 0.4457, kappa: -0.1761, kb_relative_information_score: -34.3764, mean_absolute_error: 0.4626, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.442, predictive_accuracy: 0.45, prior_entropy: 0.9635, recall: 0.45, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5485, root_relative_squared_error: 1.1264, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.7191, kappa: 0.4043, kb_relative_information_score: 526.2862, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7182, predictive_accuracy: 0.7212, prior_entropy: 0.9635, recall: 0.7212, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.528, root_relative_squared_error: 1.0844, scimark_benchmark: 1313.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4667, kb_relative_information_score: 220.6053, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.3766, predictive_accuracy: 0.6136, prior_entropy: 0.9635, recall: 0.6136, relative_absolute_error: 0.8142, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.6216, root_relative_squared_error: 1.2766, scimark_benchmark: 1372.2145, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.6618, kappa: 0.2949, kb_relative_information_score: 349.7662, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.6667, predictive_accuracy: 0.6591, prior_entropy: 0.9635, recall: 0.6591, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5839, root_relative_squared_error: 1.1991, scimark_benchmark: 1297.6356, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.7467, kappa: 0.4605, kb_relative_information_score: 295.1056, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7472, predictive_accuracy: 0.7508, prior_entropy: 0.9635, recall: 0.7508, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8768, scimark_benchmark: 1339.3974, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6433, f_measure: 0.6533, kappa: 0.2797, kb_relative_information_score: 323.9341, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.6599, predictive_accuracy: 0.65, prior_entropy: 0.9635, recall: 0.65, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.215, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.7027, kappa: 0.3742, kb_relative_information_score: 335.901, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7033, predictive_accuracy: 0.7023, prior_entropy: 0.9635, recall: 0.7023, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.8754, scimark_benchmark: 1325.942, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4645, kappa: -0.0142, kb_relative_information_score: -8.5372, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.407, predictive_accuracy: 0.6061, prior_entropy: 0.9635, recall: 0.6061, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0064, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.7728, kappa: 0.521, kb_relative_information_score: 684.454, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7729, predictive_accuracy: 0.7727, prior_entropy: 0.9635, recall: 0.7727, relative_absolute_error: 0.4746, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7574, scimark_benchmark: 1073.494, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7676, kappa: 0.5187, kb_relative_information_score: 701.9039, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7756, predictive_accuracy: 0.7652, prior_entropy: 0.9635, recall: 0.7652, relative_absolute_error: 0.4494, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8495, scimark_benchmark: 1316.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.8089, kappa: 0.5918, kb_relative_information_score: 623.8145, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8168, predictive_accuracy: 0.8144, prior_entropy: 0.9635, recall: 0.8144, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7829, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.7865, kappa: 0.5439, kb_relative_information_score: 525.3913, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.8039, predictive_accuracy: 0.7962, prior_entropy: 0.9635, recall: 0.7962, relative_absolute_error: 0.6346, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8343, scimark_benchmark: 1318.1432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7713, f_measure: 0.7827, kappa: 0.542, kb_relative_information_score: 700.6534, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.4746, number_of_instances: 1320, precision: 0.7828, predictive_accuracy: 0.7826, prior_entropy: 0.9635, recall: 0.7826, relative_absolute_error: 0.4582, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.9576, scimark_benchmark: 1310.3951,

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