Task
Supervised Classification on echoMonths

Supervised Classification on echoMonths

Task 3807 Supervised Classification echoMonths 519 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, build_cpu_time: 0.0346, build_memory: 895287397.6, f_measure: 0.7521, kappa: 0.5064, kb_relative_information_score: 57.3273, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7594, predictive_accuracy: 0.7538, prior_entropy: 0.9998, recall: 0.7538, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8004, scimark_benchmark: 925.2695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7642, kappa: 0.5364, kb_relative_information_score: 59.6946, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7907, predictive_accuracy: 0.7692, prior_entropy: 0.9998, recall: 0.7692, relative_absolute_error: 0.5654, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7789, scimark_benchmark: 1314.7093, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7642, kappa: 0.5364, kb_relative_information_score: 59.6946, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7907, predictive_accuracy: 0.7692, prior_entropy: 0.9998, recall: 0.7692, relative_absolute_error: 0.5654, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7789, scimark_benchmark: 1317.2327, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7505, kappa: 0.5059, kb_relative_information_score: 54.6955, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7654, predictive_accuracy: 0.7538, prior_entropy: 0.9998, recall: 0.7538, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7934, scimark_benchmark: 1351.1238, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.7579, kappa: 0.5213, kb_relative_information_score: 53.9859, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7755, predictive_accuracy: 0.7615, prior_entropy: 0.9998, recall: 0.7615, relative_absolute_error: 0.6101, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.847, scimark_benchmark: 1357.8069, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.7056, kappa: 0.4139, kb_relative_information_score: 45.8177, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.712, predictive_accuracy: 0.7077, prior_entropy: 0.9998, recall: 0.7077, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8855, scimark_benchmark: 1351.1238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7809, kappa: 0.5675, kb_relative_information_score: 51.835, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8023, predictive_accuracy: 0.7846, prior_entropy: 0.9998, recall: 0.7846, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8186, scimark_benchmark: 1341.5795, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.7765, kappa: 0.5532, kb_relative_information_score: 52.8202, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7783, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8052, scimark_benchmark: 1348.2476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.7349, kappa: 0.4751, kb_relative_information_score: 52.457, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7492, predictive_accuracy: 0.7385, prior_entropy: 0.9998, recall: 0.7385, relative_absolute_error: 0.6177, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.431, root_relative_squared_error: 0.8621, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7505, kappa: 0.5059, kb_relative_information_score: 54.6955, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7654, predictive_accuracy: 0.7538, prior_entropy: 0.9998, recall: 0.7538, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7934, scimark_benchmark: 1281.7531, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 1325.5735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7809, kappa: 0.5675, kb_relative_information_score: 51.835, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8023, predictive_accuracy: 0.7846, prior_entropy: 0.9998, recall: 0.7846, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8186, scimark_benchmark: 1334.8032, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7642, kappa: 0.5364, kb_relative_information_score: 59.6946, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7907, predictive_accuracy: 0.7692, prior_entropy: 0.9998, recall: 0.7692, relative_absolute_error: 0.5654, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7789, scimark_benchmark: 1339.4412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 1325.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.6615, kappa: 0.3232, kb_relative_information_score: 47.5898, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.6619, predictive_accuracy: 0.6615, prior_entropy: 0.9998, recall: 0.6615, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9224, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.7579, kappa: 0.5213, kb_relative_information_score: 53.9859, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7755, predictive_accuracy: 0.7615, prior_entropy: 0.9998, recall: 0.7615, relative_absolute_error: 0.6101, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.847, scimark_benchmark: 1322.3407, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6631, f_measure: 0.6581, kappa: 0.3252, kb_relative_information_score: 41.9702, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.6705, predictive_accuracy: 0.6615, prior_entropy: 0.9998, recall: 0.6615, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5818, root_relative_squared_error: 1.1637, scimark_benchmark: 1335.7098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6631, f_measure: 0.6581, kappa: 0.3252, kb_relative_information_score: 41.9702, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.6705, predictive_accuracy: 0.6615, prior_entropy: 0.9998, recall: 0.6615, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5818, root_relative_squared_error: 1.1637, scimark_benchmark: 1347.6543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7642, kappa: 0.5364, kb_relative_information_score: 59.6946, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7907, predictive_accuracy: 0.7692, prior_entropy: 0.9998, recall: 0.7692, relative_absolute_error: 0.5654, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7789, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.7579, kappa: 0.5213, kb_relative_information_score: 53.9859, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7755, predictive_accuracy: 0.7615, prior_entropy: 0.9998, recall: 0.7615, relative_absolute_error: 0.6101, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.847, scimark_benchmark: 1331.7953, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7642, kappa: 0.5364, kb_relative_information_score: 59.6946, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7907, predictive_accuracy: 0.7692, prior_entropy: 0.9998, recall: 0.7692, relative_absolute_error: 0.5654, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7789, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7423, kappa: 0.4904, kb_relative_information_score: 48.3747, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7591, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8733, scimark_benchmark: 1340.5125,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.7765, kappa: 0.5532, kb_relative_information_score: 52.8202, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7783, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8052, scimark_benchmark: 1350.7721,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.7735, kappa: 0.5522, kb_relative_information_score: 55.0402, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7918, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.6083, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8249, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7935, kappa: 0.5978, kb_relative_information_score: 77.9821, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8381, predictive_accuracy: 0.8, prior_entropy: 0.9998, recall: 0.8, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8945, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.7726, kappa: 0.5519, kb_relative_information_score: 53.1638, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7965, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.6591, kappa: 0.3213, kb_relative_information_score: 40.8153, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.6647, predictive_accuracy: 0.6615, prior_entropy: 0.9998, recall: 0.6615, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5253, root_relative_squared_error: 1.0507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8068, f_measure: 0.7743, kappa: 0.5524, kb_relative_information_score: 66.4189, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7878, predictive_accuracy: 0.7769, prior_entropy: 0.9998, recall: 0.7769, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8645, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.7935, kappa: 0.5978, kb_relative_information_score: 54.9692, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8381, predictive_accuracy: 0.8, prior_entropy: 0.9998, recall: 0.8, relative_absolute_error: 0.6141, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.7527, kappa: 0.5066, kb_relative_information_score: 56.3284, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7573, predictive_accuracy: 0.7538, prior_entropy: 0.9998, recall: 0.7538, relative_absolute_error: 0.5827, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.7569, kappa: 0.521, kb_relative_information_score: 37.7535, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7799, predictive_accuracy: 0.7615, prior_entropy: 0.9998, recall: 0.7615, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4631, f_measure: 0.3419, kb_relative_information_score: -0.116, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.2578, predictive_accuracy: 0.5077, prior_entropy: 0.9998, recall: 0.5077, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.7891, kappa: 0.583, kb_relative_information_score: 59.76, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8081, predictive_accuracy: 0.7923, prior_entropy: 0.9998, recall: 0.7923, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7527, kappa: 0.5066, kb_relative_information_score: 52.5918, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7573, predictive_accuracy: 0.7538, prior_entropy: 0.9998, recall: 0.7538, relative_absolute_error: 0.6204, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.6999, kappa: 0.4003, kb_relative_information_score: 40.3224, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7006, predictive_accuracy: 0.7, prior_entropy: 0.9998, recall: 0.7, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.487, root_relative_squared_error: 0.9741, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.7606, kappa: 0.5222, kb_relative_information_score: 65.068, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7642, predictive_accuracy: 0.7615, prior_entropy: 0.9998, recall: 0.7615, relative_absolute_error: 0.5026, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4748, root_relative_squared_error: 0.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, f_measure: 0.7447, kappa: 0.4911, kb_relative_information_score: 51.5924, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7504, predictive_accuracy: 0.7462, prior_entropy: 0.9998, recall: 0.7462, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8216, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7935, kappa: 0.5978, kb_relative_information_score: 77.9821, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8381, predictive_accuracy: 0.8, prior_entropy: 0.9998, recall: 0.8, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8945, scimark_benchmark: 1286.0655, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7935, kappa: 0.5978, kb_relative_information_score: 77.9821, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.8381, predictive_accuracy: 0.8, prior_entropy: 0.9998, recall: 0.8, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8945, scimark_benchmark: 916.989, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.7642, kappa: 0.5364, kb_relative_information_score: 48.4134, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7907, predictive_accuracy: 0.7692, prior_entropy: 0.9998, recall: 0.7692, relative_absolute_error: 0.6644, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.395, root_relative_squared_error: 0.79, scimark_benchmark: 936.3373, usercpu_time_millis: 720, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7505, kappa: 0.5059, kb_relative_information_score: 54.6955, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7654, predictive_accuracy: 0.7538, prior_entropy: 0.9998, recall: 0.7538, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7934, scimark_benchmark: 917.5013, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs