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Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 3054 Supervised Classification monks-problems-2 352 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.6543, kappa: 0.2557, kb_relative_information_score: 41.1949, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.704, predictive_accuracy: 0.697, prior_entropy: 0.9279, recall: 0.697, relative_absolute_error: 0.8067, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8762, scimark_benchmark: 1365.0842, usercpu_time_millis: 2330, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 1331.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.6392, kappa: 0.2259, kb_relative_information_score: 19.3565, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6914, predictive_accuracy: 0.6869, prior_entropy: 0.9279, recall: 0.6869, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9156, scimark_benchmark: 1360.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4886, kb_relative_information_score: 33.9964, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.6072, root_relative_squared_error: 1.2568, scimark_benchmark: 1371.174, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, f_measure: 0.6224, kappa: 0.1775, kb_relative_information_score: 34.0887, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6189, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9472, scimark_benchmark: 1348.1311, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4886, kb_relative_information_score: 33.9964, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.6072, root_relative_squared_error: 1.2568, scimark_benchmark: 1278.9821, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5684, f_measure: 0.474, kappa: -0.0593, kb_relative_information_score: 1.5874, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3913, predictive_accuracy: 0.601, prior_entropy: 0.9279, recall: 0.601, relative_absolute_error: 0.9756, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.485, root_relative_squared_error: 1.0039, scimark_benchmark: 1354.3488, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, f_measure: 0.6224, kappa: 0.1775, kb_relative_information_score: 34.0887, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6189, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9472, scimark_benchmark: 942.9708, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.6392, kappa: 0.2259, kb_relative_information_score: 19.3565, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6914, predictive_accuracy: 0.6869, prior_entropy: 0.9279, recall: 0.6869, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9156, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 1314.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6389, f_measure: 0.5671, kappa: 0.083, kb_relative_information_score: 13.5925, mean_absolute_error: 0.4251, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6033, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9265, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9841, scimark_benchmark: 1314.7093, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.6543, kappa: 0.2557, kb_relative_information_score: 41.1949, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.704, predictive_accuracy: 0.697, prior_entropy: 0.9279, recall: 0.697, relative_absolute_error: 0.8067, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8762, scimark_benchmark: 1335.5424, usercpu_time_millis: 1130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5679, f_measure: 0.474, kappa: -0.0593, kb_relative_information_score: 1.6537, mean_absolute_error: 0.4475, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3913, predictive_accuracy: 0.601, prior_entropy: 0.9279, recall: 0.601, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4851, root_relative_squared_error: 1.0042, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.6543, kappa: 0.2557, kb_relative_information_score: 41.1949, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.704, predictive_accuracy: 0.697, prior_entropy: 0.9279, recall: 0.697, relative_absolute_error: 0.8067, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8762, scimark_benchmark: 918.0213, usercpu_time_millis: 3090, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 2990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5679, f_measure: 0.474, kappa: -0.0593, kb_relative_information_score: 1.6537, mean_absolute_error: 0.4475, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3913, predictive_accuracy: 0.601, prior_entropy: 0.9279, recall: 0.601, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4851, root_relative_squared_error: 1.0042, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5679, f_measure: 0.474, kappa: -0.0593, kb_relative_information_score: 1.6537, mean_absolute_error: 0.4475, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3913, predictive_accuracy: 0.601, prior_entropy: 0.9279, recall: 0.601, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4851, root_relative_squared_error: 1.0042, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.5383, kappa: 0.0512, kb_relative_information_score: 16.187, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6062, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9549, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4886, kb_relative_information_score: 1.616, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.484, root_relative_squared_error: 1.0018, scimark_benchmark: 1355.2525, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7132, kappa: 0.3753, kb_relative_information_score: 39.9661, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.7442, predictive_accuracy: 0.7374, prior_entropy: 0.9279, recall: 0.7374, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.8766, scimark_benchmark: 1337.6765, usercpu_time_millis: 410, usercpu_time_millis_testing: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.6392, kappa: 0.2259, kb_relative_information_score: 19.3565, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6914, predictive_accuracy: 0.6869, prior_entropy: 0.9279, recall: 0.6869, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9156, scimark_benchmark: 1064.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.6392, kappa: 0.2259, kb_relative_information_score: 19.3565, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6914, predictive_accuracy: 0.6869, prior_entropy: 0.9279, recall: 0.6869, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9156, scimark_benchmark: 1320.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.564, kappa: 0.1181, kb_relative_information_score: 25.2803, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.7819, predictive_accuracy: 0.6667, prior_entropy: 0.9279, recall: 0.6667, relative_absolute_error: 0.8618, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9274, scimark_benchmark: 1320.9026, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4886, kb_relative_information_score: 1.616, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.484, root_relative_squared_error: 1.0018, scimark_benchmark: 1343.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.7724, kappa: 0.5104, kb_relative_information_score: 89.3542, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.7721, predictive_accuracy: 0.7727, prior_entropy: 0.9279, recall: 0.7727, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.9378, scimark_benchmark: 1343.6648, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.564, kappa: 0.1181, kb_relative_information_score: 25.2803, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.7819, predictive_accuracy: 0.6667, prior_entropy: 0.9279, recall: 0.6667, relative_absolute_error: 0.8618, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9274, scimark_benchmark: 1320.9026, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5569, f_measure: 0.4886, kb_relative_information_score: 1.9326, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4833, root_relative_squared_error: 1.0003, scimark_benchmark: 1311.9814, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5581, f_measure: 0.4886, kb_relative_information_score: 1.928, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4832, root_relative_squared_error: 1.0002, scimark_benchmark: 1342.2985, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4886, kb_relative_information_score: -30.4026, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 1.0897, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0349, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.7477, kappa: 0.4512, kb_relative_information_score: 38.0535, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.7478, predictive_accuracy: 0.7525, prior_entropy: 0.9279, recall: 0.7525, relative_absolute_error: 0.844, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8885, scimark_benchmark: 1034.1273, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8432, kappa: 0.6627, kb_relative_information_score: 134.8003, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.843, predictive_accuracy: 0.8434, prior_entropy: 0.9279, recall: 0.8434, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.7064, scimark_benchmark: 825.5282, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4886, kb_relative_information_score: 1.5147, mean_absolute_error: 0.4556, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4839, root_relative_squared_error: 1.0017, scimark_benchmark: 938.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.614, f_measure: 0.6491, kappa: 0.2361, kb_relative_information_score: 45.577, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6464, predictive_accuracy: 0.6566, prior_entropy: 0.9279, recall: 0.6566, relative_absolute_error: 0.7485, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.586, root_relative_squared_error: 1.213, scimark_benchmark: 1307.4861, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4886, kb_relative_information_score: 1.616, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.484, root_relative_squared_error: 1.0018, scimark_benchmark: 938.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.6392, kappa: 0.2259, kb_relative_information_score: 19.3565, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6914, predictive_accuracy: 0.6869, prior_entropy: 0.9279, recall: 0.6869, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9156, scimark_benchmark: 938.343, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6097, f_measure: 0.4886, kb_relative_information_score: 2.0563, mean_absolute_error: 0.4542, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9994, scimark_benchmark: 1301.9956, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.4664, kappa: -0.0881, kb_relative_information_score: 2.2605, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3875, predictive_accuracy: 0.5859, prior_entropy: 0.9279, recall: 0.5859, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4852, root_relative_squared_error: 1.0043, scimark_benchmark: 930.5999, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.4664, kappa: -0.0881, kb_relative_information_score: 2.2605, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3875, predictive_accuracy: 0.5859, prior_entropy: 0.9279, recall: 0.5859, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4852, root_relative_squared_error: 1.0043, scimark_benchmark: 1325.2092, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.4664, kappa: -0.0881, kb_relative_information_score: 2.2604, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3875, predictive_accuracy: 0.5859, prior_entropy: 0.9279, recall: 0.5859, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4852, root_relative_squared_error: 1.0043, scimark_benchmark: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4886, kb_relative_information_score: 1.616, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.484, root_relative_squared_error: 1.0018, scimark_benchmark: 869.6028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.4613, kappa: -0.1069, kb_relative_information_score: 2.8308, mean_absolute_error: 0.4427, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3849, predictive_accuracy: 0.5758, prior_entropy: 0.9279, recall: 0.5758, relative_absolute_error: 0.9647, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4855, root_relative_squared_error: 1.0049, scimark_benchmark: 915.9693, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.4613, kappa: -0.1069, kb_relative_information_score: 2.8308, mean_absolute_error: 0.4427, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3849, predictive_accuracy: 0.5758, prior_entropy: 0.9279, recall: 0.5758, relative_absolute_error: 0.9647, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4855, root_relative_squared_error: 1.0049, scimark_benchmark: 825.5282, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5935, f_measure: 0.4613, kappa: -0.1069, kb_relative_information_score: 2.8257, mean_absolute_error: 0.4427, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3849, predictive_accuracy: 0.5758, prior_entropy: 0.9279, recall: 0.5758, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4855, root_relative_squared_error: 1.0049, scimark_benchmark: 1287.514, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5927, f_measure: 0.4639, kappa: -0.0975, kb_relative_information_score: 2.5726, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3862, predictive_accuracy: 0.5808, prior_entropy: 0.9279, recall: 0.5808, relative_absolute_error: 0.9672, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.485, root_relative_squared_error: 1.004, scimark_benchmark: 1321.9426, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.4715, kappa: -0.069, kb_relative_information_score: 1.5995, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.39, predictive_accuracy: 0.596, prior_entropy: 0.9279, recall: 0.596, relative_absolute_error: 0.974, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4856, root_relative_squared_error: 1.0052, scimark_benchmark: 915.9324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5593, f_measure: 0.4847, kappa: -0.1076, kb_relative_information_score: 5.845, mean_absolute_error: 0.4225, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.4615, predictive_accuracy: 0.5505, prior_entropy: 0.9279, recall: 0.5505, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.0231, scimark_benchmark: 939.5205, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5593, f_measure: 0.4847, kappa: -0.1076, kb_relative_information_score: 5.845, mean_absolute_error: 0.4225, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.4615, predictive_accuracy: 0.5505, prior_entropy: 0.9279, recall: 0.5505, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.0231, scimark_benchmark: 1335.643, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.509, f_measure: 0.5513, kappa: 0.0191, kb_relative_information_score: 6.2031, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.5439, predictive_accuracy: 0.5707, prior_entropy: 0.9279, recall: 0.5707, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.6552, root_relative_squared_error: 1.3562, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4886, kb_relative_information_score: 33.9964, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.6072, root_relative_squared_error: 1.2568, scimark_benchmark: 930.5999, usercpu_time_millis: 160, usercpu_time_millis_training: 160,

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