OpenML
Supervised Classification on fl2000

Supervised Classification on fl2000

Task 4556 Supervised Classification fl2000 195 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.7026, kappa: 0.3674, kb_relative_information_score: 199.1222, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7226, predictive_accuracy: 0.7209, prior_entropy: 0.9656, recall: 0.7209, relative_absolute_error: 0.7147, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8952, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7902, kappa: 0.5547, kb_relative_information_score: 280.5568, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7905, predictive_accuracy: 0.7925, prior_entropy: 0.9656, recall: 0.7925, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.819, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7653, f_measure: 0.7343, kappa: 0.4406, kb_relative_information_score: 269.4448, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7343, predictive_accuracy: 0.7343, prior_entropy: 0.9656, recall: 0.7343, relative_absolute_error: 0.5947, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4786, root_relative_squared_error: 0.9822, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4646, kb_relative_information_score: 111.2542, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.3745, predictive_accuracy: 0.6119, prior_entropy: 0.9656, recall: 0.6119, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2783, scimark_benchmark: 941.3142, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.7174, kappa: 0.403, kb_relative_information_score: 282.5219, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.762, predictive_accuracy: 0.7418, prior_entropy: 0.9656, recall: 0.7418, relative_absolute_error: 0.5737, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9603, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.7161, kappa: 0.4, kb_relative_information_score: 280.9298, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7592, predictive_accuracy: 0.7403, prior_entropy: 0.9656, recall: 0.7403, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8858, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7855, kappa: 0.5425, kb_relative_information_score: 252.0665, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7992, predictive_accuracy: 0.794, prior_entropy: 0.9656, recall: 0.794, relative_absolute_error: 0.6523, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.798, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.7854, kappa: 0.543, kb_relative_information_score: 246.9722, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.8102, predictive_accuracy: 0.797, prior_entropy: 0.9656, recall: 0.797, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7782, scimark_benchmark: 941.6675, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.7681, kappa: 0.5056, kb_relative_information_score: 291.5356, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7739, predictive_accuracy: 0.7746, prior_entropy: 0.9656, recall: 0.7746, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.8842, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.8089, kappa: 0.5925, kb_relative_information_score: 278.6057, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.8187, predictive_accuracy: 0.8149, prior_entropy: 0.9656, recall: 0.8149, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7642, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4646, kb_relative_information_score: 111.2542, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.3745, predictive_accuracy: 0.6119, prior_entropy: 0.9656, recall: 0.6119, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2783, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4646, kb_relative_information_score: 111.2542, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.3745, predictive_accuracy: 0.6119, prior_entropy: 0.9656, recall: 0.6119, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2783, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.7161, kappa: 0.4, kb_relative_information_score: 280.9298, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7592, predictive_accuracy: 0.7403, prior_entropy: 0.9656, recall: 0.7403, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8858, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.7161, kappa: 0.4, kb_relative_information_score: 280.9298, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7592, predictive_accuracy: 0.7403, prior_entropy: 0.9656, recall: 0.7403, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8858, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.8089, kappa: 0.5925, kb_relative_information_score: 278.6057, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.8187, predictive_accuracy: 0.8149, prior_entropy: 0.9656, recall: 0.8149, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7642, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.7026, kappa: 0.3674, kb_relative_information_score: 199.1222, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7226, predictive_accuracy: 0.7209, prior_entropy: 0.9656, recall: 0.7209, relative_absolute_error: 0.7147, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8952, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7902, kappa: 0.5547, kb_relative_information_score: 280.9573, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7905, predictive_accuracy: 0.7925, prior_entropy: 0.9656, recall: 0.7925, relative_absolute_error: 0.6037, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8179, scimark_benchmark: 901.6243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7653, f_measure: 0.7343, kappa: 0.4406, kb_relative_information_score: 269.4448, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7343, predictive_accuracy: 0.7343, prior_entropy: 0.9656, recall: 0.7343, relative_absolute_error: 0.5947, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4786, root_relative_squared_error: 0.9822, scimark_benchmark: 934.695, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4646, kb_relative_information_score: 111.2542, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.3745, predictive_accuracy: 0.6119, prior_entropy: 0.9656, recall: 0.6119, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2783, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4646, kb_relative_information_score: 111.2542, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.3745, predictive_accuracy: 0.6119, prior_entropy: 0.9656, recall: 0.6119, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2783, scimark_benchmark: 859.5223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.7161, kappa: 0.4, kb_relative_information_score: 280.9298, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7592, predictive_accuracy: 0.7403, prior_entropy: 0.9656, recall: 0.7403, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8858, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.7161, kappa: 0.4, kb_relative_information_score: 280.9298, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7592, predictive_accuracy: 0.7403, prior_entropy: 0.9656, recall: 0.7403, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8858, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.7161, kappa: 0.4, kb_relative_information_score: 280.9298, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7592, predictive_accuracy: 0.7403, prior_entropy: 0.9656, recall: 0.7403, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8858, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7855, kappa: 0.5425, kb_relative_information_score: 252.0665, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7992, predictive_accuracy: 0.794, prior_entropy: 0.9656, recall: 0.794, relative_absolute_error: 0.6523, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.798, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.7161, kappa: 0.4, kb_relative_information_score: 280.9298, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7592, predictive_accuracy: 0.7403, prior_entropy: 0.9656, recall: 0.7403, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8858, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.7681, kappa: 0.5056, kb_relative_information_score: 291.5356, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7739, predictive_accuracy: 0.7746, prior_entropy: 0.9656, recall: 0.7746, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.8842, scimark_benchmark: 941.3057, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.8089, kappa: 0.5925, kb_relative_information_score: 278.6057, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.8187, predictive_accuracy: 0.8149, prior_entropy: 0.9656, recall: 0.8149, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7642, scimark_benchmark: 938.988, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8839, kappa: 0.7528, kb_relative_information_score: 354.4334, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.8915, predictive_accuracy: 0.8866, prior_entropy: 0.9656, recall: 0.8866, relative_absolute_error: 0.5139, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6572, scimark_benchmark: 908.9569, usercpu_time_millis: 1000, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8887, kappa: 0.7631, kb_relative_information_score: 354.6308, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.8954, predictive_accuracy: 0.891, prior_entropy: 0.9656, recall: 0.891, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6582, scimark_benchmark: 936.3373, usercpu_time_millis: 220, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.881, kappa: 0.7467, kb_relative_information_score: 350.2588, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.8878, predictive_accuracy: 0.8836, prior_entropy: 0.9656, recall: 0.8836, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.666, scimark_benchmark: 934.7923, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8796, kappa: 0.7436, kb_relative_information_score: 345.6974, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.8859, predictive_accuracy: 0.8821, prior_entropy: 0.9656, recall: 0.8821, relative_absolute_error: 0.5216, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6795, scimark_benchmark: 939.3535, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.8514, kappa: 0.684, kb_relative_information_score: 334.4758, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.8544, predictive_accuracy: 0.8537, prior_entropy: 0.9656, recall: 0.8537, relative_absolute_error: 0.5304, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.342, root_relative_squared_error: 0.7018, scimark_benchmark: 862.7006, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7673, kappa: 0.5042, kb_relative_information_score: 321.9435, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7716, predictive_accuracy: 0.7731, prior_entropy: 0.9656, recall: 0.7731, relative_absolute_error: 0.514, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8658, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7673, kappa: 0.5042, kb_relative_information_score: 321.9435, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7716, predictive_accuracy: 0.7731, prior_entropy: 0.9656, recall: 0.7731, relative_absolute_error: 0.514, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8658, scimark_benchmark: 889.4922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.7673, kappa: 0.5042, kb_relative_information_score: 322.1076, mean_absolute_error: 0.2443, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7716, predictive_accuracy: 0.7731, prior_entropy: 0.9656, recall: 0.7731, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8657, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7687, kappa: 0.5071, kb_relative_information_score: 315.5104, mean_absolute_error: 0.2494, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7733, predictive_accuracy: 0.7746, prior_entropy: 0.9656, recall: 0.7746, relative_absolute_error: 0.5244, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.8722, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8137, f_measure: 0.7629, kappa: 0.4948, kb_relative_information_score: 296.8865, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7667, predictive_accuracy: 0.7687, prior_entropy: 0.9656, recall: 0.7687, relative_absolute_error: 0.5534, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.425, root_relative_squared_error: 0.8722, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4437, f_measure: 0.4646, kb_relative_information_score: -1.9835, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.3745, predictive_accuracy: 0.6119, prior_entropy: 0.9656, recall: 0.6119, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.488, root_relative_squared_error: 1.0014, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7991, kappa: 0.5725, kb_relative_information_score: 385.8966, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.8021, predictive_accuracy: 0.803, prior_entropy: 0.9656, recall: 0.803, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.431, root_relative_squared_error: 0.8844, scimark_benchmark: 936.7286, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.7968, kappa: 0.5671, kb_relative_information_score: 381.9493, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.8014, predictive_accuracy: 0.8015, prior_entropy: 0.9656, recall: 0.8015, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8775, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.7161, kappa: 0.4, kb_relative_information_score: 280.9298, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7592, predictive_accuracy: 0.7403, prior_entropy: 0.9656, recall: 0.7403, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8858, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.7681, kappa: 0.5056, kb_relative_information_score: 291.5356, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7739, predictive_accuracy: 0.7746, prior_entropy: 0.9656, recall: 0.7746, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.8842, scimark_benchmark: 1326.2019, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.8089, kappa: 0.5925, kb_relative_information_score: 278.6057, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.8187, predictive_accuracy: 0.8149, prior_entropy: 0.9656, recall: 0.8149, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7642, scimark_benchmark: 1350.8432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7902, kappa: 0.5547, kb_relative_information_score: 280.5568, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7905, predictive_accuracy: 0.7925, prior_entropy: 0.9656, recall: 0.7925, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.819, scimark_benchmark: 1320.1171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, f_measure: 0.7343, kappa: 0.4406, kb_relative_information_score: 268.5121, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7343, predictive_accuracy: 0.7343, prior_entropy: 0.9656, recall: 0.7343, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4789, root_relative_squared_error: 0.9827, scimark_benchmark: 1321.8132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4646, kb_relative_information_score: 111.2542, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.3745, predictive_accuracy: 0.6119, prior_entropy: 0.9656, recall: 0.6119, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2783, scimark_benchmark: 1309.4708, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.7174, kappa: 0.403, kb_relative_information_score: 282.5219, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.762, predictive_accuracy: 0.7418, prior_entropy: 0.9656, recall: 0.7418, relative_absolute_error: 0.5737, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9603, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.7161, kappa: 0.4, kb_relative_information_score: 280.9298, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7592, predictive_accuracy: 0.7403, prior_entropy: 0.9656, recall: 0.7403, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8858, scimark_benchmark: 1371.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7855, kappa: 0.5425, kb_relative_information_score: 252.0665, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7992, predictive_accuracy: 0.794, prior_entropy: 0.9656, recall: 0.794, relative_absolute_error: 0.6523, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.798, scimark_benchmark: 1330.2425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.7161, kappa: 0.4, kb_relative_information_score: 280.9298, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7592, predictive_accuracy: 0.7403, prior_entropy: 0.9656, recall: 0.7403, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8858, scimark_benchmark: 1336.4564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.7026, kappa: 0.3674, kb_relative_information_score: 199.1222, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7226, predictive_accuracy: 0.7209, prior_entropy: 0.9656, recall: 0.7209, relative_absolute_error: 0.7147, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8952, scimark_benchmark: 1299.7465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7902, kappa: 0.5547, kb_relative_information_score: 280.5568, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7905, predictive_accuracy: 0.7925, prior_entropy: 0.9656, recall: 0.7925, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.819, scimark_benchmark: 1357.7543, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.7681, kappa: 0.5056, kb_relative_information_score: 291.5356, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7739, predictive_accuracy: 0.7746, prior_entropy: 0.9656, recall: 0.7746, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.8842, scimark_benchmark: 1341.9177, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.8089, kappa: 0.5925, kb_relative_information_score: 278.6057, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.8187, predictive_accuracy: 0.8149, prior_entropy: 0.9656, recall: 0.8149, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7642, scimark_benchmark: 1360.0477, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.7174, kappa: 0.403, kb_relative_information_score: 281.4921, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.762, predictive_accuracy: 0.7418, prior_entropy: 0.9656, recall: 0.7418, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8512, scimark_benchmark: 1404.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4646, kb_relative_information_score: 111.2542, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.3745, predictive_accuracy: 0.6119, prior_entropy: 0.9656, recall: 0.6119, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2783, scimark_benchmark: 1357.7543, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4646, kb_relative_information_score: 111.2542, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.3745, predictive_accuracy: 0.6119, prior_entropy: 0.9656, recall: 0.6119, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2783, scimark_benchmark: 1303.9481, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.7161, kappa: 0.4, kb_relative_information_score: 280.9298, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7592, predictive_accuracy: 0.7403, prior_entropy: 0.9656, recall: 0.7403, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8858, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.7161, kappa: 0.4, kb_relative_information_score: 280.9298, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7592, predictive_accuracy: 0.7403, prior_entropy: 0.9656, recall: 0.7403, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8858, scimark_benchmark: 1297.2338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.7681, kappa: 0.5056, kb_relative_information_score: 291.5356, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4757, number_of_instances: 670, precision: 0.7739, predictive_accuracy: 0.7746, prior_entropy: 0.9656, recall: 0.7746, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.8842, scimark_benchmark: 940.3347, usercpu_time_millis: 100, usercpu_time_millis_training: 100,

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