OpenML
Supervised Classification on analcatdata_chlamydia

Supervised Classification on analcatdata_chlamydia

Task 4444 Supervised Classification analcatdata_chlamydia 228 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.8741, kappa: 0.5771, kb_relative_information_score: 0.3151, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.3116, weighted_recall: 0.879, number_of_instances: 1000, precision: 0.8725, predictive_accuracy: 0.879, prior_entropy: 0.7016, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.76, scimark_benchmark: 931.1106, unweighted_recall: 0.7682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.8908, kappa: 0.6635, kb_relative_information_score: 0.5643, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.3116, weighted_recall: 0.886, number_of_instances: 1000, precision: 0.901, predictive_accuracy: 0.886, prior_entropy: 0.7016, relative_absolute_error: 0.3682, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.8547, scimark_benchmark: 979.7764, unweighted_recall: 0.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: 6.5132, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0006, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.9149, kappa: 0.7119, kb_relative_information_score: 412.4578, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9166, predictive_accuracy: 0.919, prior_entropy: 0.714, recall: 0.919, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.6641, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.9125, kappa: 0.7113, kb_relative_information_score: 477.2899, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9118, predictive_accuracy: 0.914, prior_entropy: 0.714, recall: 0.914, relative_absolute_error: 0.493, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.6829, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.725, kb_relative_information_score: 273.4136, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111, scimark_benchmark: 931.771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.725, kb_relative_information_score: 273.4136, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111, scimark_benchmark: 944.1067, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8827, kappa: 0.599, kb_relative_information_score: 477.3099, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.6625, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8827, kappa: 0.599, kb_relative_information_score: 477.3099, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.6625, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8827, kappa: 0.599, kb_relative_information_score: 477.3099, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.6625, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.7729, kappa: 0.1836, kb_relative_information_score: 162.7765, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.7738, predictive_accuracy: 0.813, prior_entropy: 0.714, recall: 0.813, relative_absolute_error: 0.7602, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.339, root_relative_squared_error: 0.8641, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.P).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.913, kappa: 0.7083, kb_relative_information_score: 561.9, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9129, predictive_accuracy: 0.916, prior_entropy: 0.714, recall: 0.916, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.5935, scimark_benchmark: 941.6675, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8633, kappa: 0.515, kb_relative_information_score: 303.5063, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.8862, predictive_accuracy: 0.882, prior_entropy: 0.714, recall: 0.882, relative_absolute_error: 0.6792, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.7559, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.725, kb_relative_information_score: 273.4136, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111, scimark_benchmark: 937.5117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.725, kb_relative_information_score: 273.4136, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.8741, kappa: 0.5771, kb_relative_information_score: 309.6246, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.8725, predictive_accuracy: 0.879, prior_entropy: 0.714, recall: 0.879, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.76, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: 6.5132, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0006, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.9149, kappa: 0.7119, kb_relative_information_score: 412.4578, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9166, predictive_accuracy: 0.919, prior_entropy: 0.714, recall: 0.919, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.6641, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.9125, kappa: 0.7113, kb_relative_information_score: 477.2899, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9118, predictive_accuracy: 0.914, prior_entropy: 0.714, recall: 0.914, relative_absolute_error: 0.493, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.6829, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.725, kb_relative_information_score: 273.4136, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111, scimark_benchmark: 926.5462, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8944, kappa: 0.6312, kb_relative_information_score: 470.239, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9078, predictive_accuracy: 0.905, prior_entropy: 0.714, recall: 0.905, relative_absolute_error: 0.5465, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.6587, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8827, kappa: 0.599, kb_relative_information_score: 477.3099, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.6625, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.7729, kappa: 0.1836, kb_relative_information_score: 162.7765, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.7738, predictive_accuracy: 0.813, prior_entropy: 0.714, recall: 0.813, relative_absolute_error: 0.7602, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.339, root_relative_squared_error: 0.8641, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.913, kappa: 0.7083, kb_relative_information_score: 561.9, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9129, predictive_accuracy: 0.916, prior_entropy: 0.714, recall: 0.916, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.5935, scimark_benchmark: 938.4601, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8827, kappa: 0.599, kb_relative_information_score: 477.3099, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.6625, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8633, kappa: 0.515, kb_relative_information_score: 303.5063, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.8862, predictive_accuracy: 0.882, prior_entropy: 0.714, recall: 0.882, relative_absolute_error: 0.6792, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.7559, scimark_benchmark: 932.438, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.8741, kappa: 0.5771, kb_relative_information_score: 309.6246, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.8725, predictive_accuracy: 0.879, prior_entropy: 0.714, recall: 0.879, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.76, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8654, kappa: 0.5266, kb_relative_information_score: 383.6813, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.8787, predictive_accuracy: 0.881, prior_entropy: 0.714, recall: 0.881, relative_absolute_error: 0.6128, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2802, root_relative_squared_error: 0.7141, scimark_benchmark: 908.9569, usercpu_time_millis: 400, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.8663, kappa: 0.5276, kb_relative_information_score: 375.1416, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.883, prior_entropy: 0.714, recall: 0.883, relative_absolute_error: 0.6157, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.282, root_relative_squared_error: 0.7186, scimark_benchmark: 906.5979, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.8645, kappa: 0.5238, kb_relative_information_score: 375.5124, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.877, predictive_accuracy: 0.88, prior_entropy: 0.714, recall: 0.88, relative_absolute_error: 0.613, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2838, root_relative_squared_error: 0.7232, scimark_benchmark: 921.466, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8642, kappa: 0.5252, kb_relative_information_score: 357.7982, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.8722, predictive_accuracy: 0.878, prior_entropy: 0.714, recall: 0.878, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.288, root_relative_squared_error: 0.734, scimark_benchmark: 945.0448, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.8676, kappa: 0.5413, kb_relative_information_score: 359.2545, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.8718, predictive_accuracy: 0.879, prior_entropy: 0.714, recall: 0.879, relative_absolute_error: 0.6096, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.7446, scimark_benchmark: 939.7241, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9302, kappa: 0.7707, kb_relative_information_score: 682.6743, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9298, predictive_accuracy: 0.931, prior_entropy: 0.714, recall: 0.931, relative_absolute_error: 0.2732, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.585, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9302, kappa: 0.7707, kb_relative_information_score: 682.6743, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9298, predictive_accuracy: 0.931, prior_entropy: 0.714, recall: 0.931, relative_absolute_error: 0.2732, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.585, scimark_benchmark: 889.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9302, kappa: 0.7707, kb_relative_information_score: 682.8692, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9298, predictive_accuracy: 0.931, prior_entropy: 0.714, recall: 0.931, relative_absolute_error: 0.2732, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.5852, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.933, kappa: 0.7794, kb_relative_information_score: 686.5935, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9326, predictive_accuracy: 0.934, prior_entropy: 0.714, recall: 0.934, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.219, root_relative_squared_error: 0.5582, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.909, kappa: 0.6907, kb_relative_information_score: 549.2656, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9113, predictive_accuracy: 0.914, prior_entropy: 0.714, recall: 0.914, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.6335, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: -7.8094, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0007, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8731, kappa: 0.5534, kb_relative_information_score: 563.7413, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.889, predictive_accuracy: 0.888, prior_entropy: 0.714, recall: 0.888, relative_absolute_error: 0.3712, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.7831, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.7946, kappa: 0.2551, kb_relative_information_score: 382.0255, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.8455, predictive_accuracy: 0.84, prior_entropy: 0.714, recall: 0.84, relative_absolute_error: 0.5267, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.9751, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.913, kappa: 0.7083, kb_relative_information_score: 561.9, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9129, predictive_accuracy: 0.916, prior_entropy: 0.714, recall: 0.916, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.5935, scimark_benchmark: 1313.9976, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8827, kappa: 0.599, kb_relative_information_score: 477.3099, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.6625, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.8741, kappa: 0.5771, kb_relative_information_score: 309.6246, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.8725, predictive_accuracy: 0.879, prior_entropy: 0.714, recall: 0.879, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.76, scimark_benchmark: 1350.2591, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8944, kappa: 0.6312, kb_relative_information_score: 470.239, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9078, predictive_accuracy: 0.905, prior_entropy: 0.714, recall: 0.905, relative_absolute_error: 0.5465, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.6587, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8944, kappa: 0.6312, kb_relative_information_score: 470.239, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9078, predictive_accuracy: 0.905, prior_entropy: 0.714, recall: 0.905, relative_absolute_error: 0.5465, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.6587, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8827, kappa: 0.599, kb_relative_information_score: 477.3099, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.6625, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8827, kappa: 0.599, kb_relative_information_score: 477.3099, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.6625, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8827, kappa: 0.599, kb_relative_information_score: 477.3099, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.6625, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8633, kappa: 0.515, kb_relative_information_score: 303.5063, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.8862, predictive_accuracy: 0.882, prior_entropy: 0.714, recall: 0.882, relative_absolute_error: 0.6792, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.7559, scimark_benchmark: 1335.5309, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.8741, kappa: 0.5771, kb_relative_information_score: 309.6246, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.8725, predictive_accuracy: 0.879, prior_entropy: 0.714, recall: 0.879, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.76, scimark_benchmark: 1336.5541, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9064, kappa: 0.697, kb_relative_information_score: 603.3643, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9068, predictive_accuracy: 0.906, prior_entropy: 0.714, recall: 0.906, relative_absolute_error: 0.3128, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.6675, scimark_benchmark: 1320.2063, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.9151, kappa: 0.7215, kb_relative_information_score: 589.2024, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9145, predictive_accuracy: 0.916, prior_entropy: 0.714, recall: 0.916, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.6998, scimark_benchmark: 1321.4771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: 6.5132, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0006, scimark_benchmark: 1321.4771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.9125, kappa: 0.7113, kb_relative_information_score: 477.2899, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9118, predictive_accuracy: 0.914, prior_entropy: 0.714, recall: 0.914, relative_absolute_error: 0.493, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.6829, scimark_benchmark: 1319.5773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8827, kappa: 0.599, kb_relative_information_score: 477.3099, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.6625, scimark_benchmark: 1333.9912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8827, kappa: 0.599, kb_relative_information_score: 477.3099, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.6625, scimark_benchmark: 1330.2425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.9149, kappa: 0.7119, kb_relative_information_score: 412.4578, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.3116, number_of_instances: 1000, precision: 0.9166, predictive_accuracy: 0.919, prior_entropy: 0.714, recall: 0.919, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.6641, scimark_benchmark: 1360.6367,

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