OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 3950 Supervised Classification musk 66544 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 under100k
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6464.6158, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0214, root_relative_squared_error: 0.0593, scimark_benchmark: 1255.6319, usercpu_time_millis: 7.949, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 7.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1237.3659, usercpu_time_millis: 2.179, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 1.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.7752, kb_relative_information_score: 641.1998, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.328, root_relative_squared_error: 0.9084, scimark_benchmark: 1267.9427, usercpu_time_millis: 3.14, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 2.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9718, kappa: 0.8879, kb_relative_information_score: 4329.8058, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9737, predictive_accuracy: 0.9729, prior_entropy: 0.6204, recall: 0.9729, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.177, root_relative_squared_error: 0.4902, scimark_benchmark: 1269.9498, usercpu_time_millis: 5.225, usercpu_time_millis_testing: 0.419, usercpu_time_millis_training: 4.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1225.0091, usercpu_time_millis: 2.17, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 1.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5772, f_measure: 0.7752, kb_relative_information_score: 9.9798, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9995, scimark_benchmark: 1269.744, usercpu_time_millis: 1.969, usercpu_time_millis_testing: 0.394, usercpu_time_millis_training: 1.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1278.6901, usercpu_time_millis: 1.917, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 1.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1225.1072, usercpu_time_millis: 1.986, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 1.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1211.5463, usercpu_time_millis: 1.919, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 1.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6215.7666, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0905, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0421, root_relative_squared_error: 0.1167, scimark_benchmark: 1264.0717, usercpu_time_millis: 4.352, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 3.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6273.7805, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.077, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0362, root_relative_squared_error: 0.1001, scimark_benchmark: 1266.8168, usercpu_time_millis: 5.135, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 4.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.8083, kappa: 0.1514, kb_relative_information_score: 879.4603, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8803, predictive_accuracy: 0.8606, prior_entropy: 0.6204, recall: 0.8606, relative_absolute_error: 0.9116, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.9252, scimark_benchmark: 1261.8507, usercpu_time_millis: 1.89, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 1.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.843, kappa: 0.312, kb_relative_information_score: 1225.008, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8937, predictive_accuracy: 0.8784, prior_entropy: 0.6204, recall: 0.8784, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.8903, scimark_benchmark: 1241.0334, usercpu_time_millis: 2.163, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 1.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9676, kappa: 0.8708, kb_relative_information_score: 2332.4468, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9702, predictive_accuracy: 0.9691, prior_entropy: 0.6204, recall: 0.9691, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.634, scimark_benchmark: 1274.2801, usercpu_time_millis: 580.502, usercpu_time_millis_testing: 0.394, usercpu_time_millis_training: 580.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5925, f_measure: 0.7752, kb_relative_information_score: 221.4745, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9842, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.9851, scimark_benchmark: 1263.4534, usercpu_time_millis: 1.819, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 1.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8692, kappa: 0.4338, kb_relative_information_score: 2477.1893, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9057, predictive_accuracy: 0.8939, prior_entropy: 0.6204, recall: 0.8939, relative_absolute_error: 0.713, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.268, root_relative_squared_error: 0.7423, scimark_benchmark: 1267.5234, usercpu_time_millis: 2.024, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 1.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9515, kappa: 0.8032, kb_relative_information_score: 4042.475, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9571, predictive_accuracy: 0.9548, prior_entropy: 0.6204, recall: 0.9548, relative_absolute_error: 0.5082, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.5325, scimark_benchmark: 1229.3113, usercpu_time_millis: 3.639, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 3.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1231.9403, usercpu_time_millis: 2.012, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 1.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1270.8306, usercpu_time_millis: 1.878, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 1.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1260.0335, usercpu_time_millis: 1.949, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 1.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1242.7831, usercpu_time_millis: 2, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 1.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1237.3129, usercpu_time_millis: 2.025, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 1.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1225.9902, usercpu_time_millis: 2.001, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 1.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.8588, kappa: 0.3854, kb_relative_information_score: 2185.0925, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9007, predictive_accuracy: 0.8875, prior_entropy: 0.6204, recall: 0.8875, relative_absolute_error: 0.7459, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2806, root_relative_squared_error: 0.7772, scimark_benchmark: 1272.5092, usercpu_time_millis: 2.138, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 1.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1233.4721, usercpu_time_millis: 1.903, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 1.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1229.213, usercpu_time_millis: 2.016, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 1.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1268.4858, usercpu_time_millis: 1.863, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 1.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6190.2467, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0966, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.042, root_relative_squared_error: 0.1163, scimark_benchmark: 1277.9601, usercpu_time_millis: 11.211, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 10.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1221.3421, usercpu_time_millis: 1.979, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 1.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1224.1877, usercpu_time_millis: 2.082, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 1.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6266.1813, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0353, root_relative_squared_error: 0.0978, scimark_benchmark: 1268.8435, usercpu_time_millis: 15.093, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 14.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9698, kappa: 0.8798, kb_relative_information_score: 3331.7929, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.972, predictive_accuracy: 0.9711, prior_entropy: 0.6204, recall: 0.9711, relative_absolute_error: 0.4775, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.5633, scimark_benchmark: 1279.5239, usercpu_time_millis: 109.22, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 108.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1262.7187, usercpu_time_millis: 2.009, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 1.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1273.8562, usercpu_time_millis: 2.111, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 1.677,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1213.0273, usercpu_time_millis: 1.999, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 1.583,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6621, f_measure: 0.8335, kappa: 0.2681, kb_relative_information_score: -9042.4672, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8898, predictive_accuracy: 0.8733, prior_entropy: 0.6204, recall: 0.8733, relative_absolute_error: 1.6099, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4526, root_relative_squared_error: 1.2534, scimark_benchmark: 1240.3438, usercpu_time_millis: 700.315, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 699.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1209.6979, usercpu_time_millis: 2.227, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 1.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6385.63, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0501, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0258, root_relative_squared_error: 0.0714, scimark_benchmark: 1221.4983, usercpu_time_millis: 14.094, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 13.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6494.3396, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0238, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0198, root_relative_squared_error: 0.055, scimark_benchmark: 1266.8052, usercpu_time_millis: 6.266, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 5.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1227.8574, usercpu_time_millis: 2.253, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 1.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 5921.7541, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.1573, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0651, root_relative_squared_error: 0.1802, scimark_benchmark: 1276.7423, usercpu_time_millis: 6.338, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 5.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1236.1637, usercpu_time_millis: 1.987, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 1.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1274.3589, usercpu_time_millis: 2.341, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 1.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.8289, kappa: 0.2468, kb_relative_information_score: 2503.3339, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.888, predictive_accuracy: 0.8709, prior_entropy: 0.6204, recall: 0.8709, relative_absolute_error: 0.7194, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.737, scimark_benchmark: 1254.1636, usercpu_time_millis: 2.589, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 2.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.7752, kb_relative_information_score: 135.9418, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.358, root_relative_squared_error: 0.9913, scimark_benchmark: 1235.8801, usercpu_time_millis: 2.384, usercpu_time_millis_testing: 0.517, usercpu_time_millis_training: 1.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.843, kappa: 0.312, kb_relative_information_score: 1531.0838, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8937, predictive_accuracy: 0.8784, prior_entropy: 0.6204, recall: 0.8784, relative_absolute_error: 0.8353, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.8569, scimark_benchmark: 1225.5927, usercpu_time_millis: 2.359, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 1.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6385.4772, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0504, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.026, root_relative_squared_error: 0.0721, scimark_benchmark: 1234.3635, usercpu_time_millis: 12.403, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 12.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1226.616, usercpu_time_millis: 1.976, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 1.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1254.4462, usercpu_time_millis: 1.801, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 1.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1265.3014, usercpu_time_millis: 2.017, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 1.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1213.8001, usercpu_time_millis: 2.069, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 1.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1274.9887, usercpu_time_millis: 1.995, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 1.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1226.4445, usercpu_time_millis: 2.155, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 1.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9825, kappa: 0.9312, kb_relative_information_score: 3840.982, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9832, predictive_accuracy: 0.9829, prior_entropy: 0.6204, recall: 0.9829, relative_absolute_error: 0.3838, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.4969, scimark_benchmark: 1277.4178, usercpu_time_millis: 217.187, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 216.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6506.9221, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0207, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0191, root_relative_squared_error: 0.0529, scimark_benchmark: 1213.0867, usercpu_time_millis: 9.337, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 8.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1263.5955, usercpu_time_millis: 2.123, usercpu_time_millis_testing: 0.427, usercpu_time_millis_training: 1.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1267.4544, usercpu_time_millis: 2.291, usercpu_time_millis_testing: 0.546, usercpu_time_millis_training: 1.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1221.8746, usercpu_time_millis: 2.373, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 1.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1238.7285, usercpu_time_millis: 2.46, usercpu_time_millis_testing: 0.495, usercpu_time_millis_training: 1.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1227.4276, usercpu_time_millis: 2.077, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 1.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9676, kappa: 0.8708, kb_relative_information_score: 2338.9765, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9702, predictive_accuracy: 0.9691, prior_entropy: 0.6204, recall: 0.9691, relative_absolute_error: 0.4882, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.6343, scimark_benchmark: 1211.2463, usercpu_time_millis: 525.454, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 525.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6503.4132, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0216, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0194, root_relative_squared_error: 0.0538, scimark_benchmark: 1209.7889, usercpu_time_millis: 7.658, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 7.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1269.0174, usercpu_time_millis: 2.305, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 1.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6178.0277, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0996, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0441, root_relative_squared_error: 0.122, scimark_benchmark: 1229.0942, usercpu_time_millis: 6.742, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 6.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6270.1327, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0778, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0368, root_relative_squared_error: 0.1019, scimark_benchmark: 1230.6925, usercpu_time_millis: 5.849, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 5.376,

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