Task
Supervised Classification on mc2

Supervised Classification on mc2

Task 3905 Supervised Classification mc2 578 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.7, kappa: 0.3008, kb_relative_information_score: 47.5668, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6966, predictive_accuracy: 0.7081, prior_entropy: 0.9099, recall: 0.7081, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5403, root_relative_squared_error: 1.1554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6067, f_measure: 0.6837, kappa: 0.2589, kb_relative_information_score: 57.1862, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7406, predictive_accuracy: 0.7329, prior_entropy: 0.9099, recall: 0.7329, relative_absolute_error: 0.6096, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5168, root_relative_squared_error: 1.1052, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6075, f_measure: 0.6829, kappa: 0.2518, kb_relative_information_score: 52.3765, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7061, predictive_accuracy: 0.7205, prior_entropy: 0.9099, recall: 0.7205, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5287, root_relative_squared_error: 1.1306, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.63, f_measure: 0.65, kappa: 0.1756, kb_relative_information_score: 16.0256, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6681, predictive_accuracy: 0.6957, prior_entropy: 0.9099, recall: 0.6957, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9932, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6134, f_measure: 0.6262, kappa: 0.1167, kb_relative_information_score: 8.3256, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6218, predictive_accuracy: 0.6584, prior_entropy: 0.9099, recall: 0.6584, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5038, root_relative_squared_error: 1.0773, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6261, f_measure: 0.6993, kappa: 0.2893, kb_relative_information_score: 52.163, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7116, predictive_accuracy: 0.7267, prior_entropy: 0.9099, recall: 0.7267, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5142, root_relative_squared_error: 1.0995, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.7044, kappa: 0.3015, kb_relative_information_score: 55.7768, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7206, predictive_accuracy: 0.7329, prior_entropy: 0.9099, recall: 0.7329, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.105, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6084, f_measure: 0.6806, kappa: 0.2452, kb_relative_information_score: 47.5668, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6868, predictive_accuracy: 0.7081, prior_entropy: 0.9099, recall: 0.7081, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5403, root_relative_squared_error: 1.1554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6247, f_measure: 0.7077, kappa: 0.3094, kb_relative_information_score: 52.2817, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7194, predictive_accuracy: 0.7329, prior_entropy: 0.9099, recall: 0.7329, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.0987, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.7044, kappa: 0.3015, kb_relative_information_score: 56.2668, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7206, predictive_accuracy: 0.7329, prior_entropy: 0.9099, recall: 0.7329, relative_absolute_error: 0.617, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.1023, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.613, f_measure: 0.6856, kappa: 0.257, kb_relative_information_score: 49.9716, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.695, predictive_accuracy: 0.7143, prior_entropy: 0.9099, recall: 0.7143, relative_absolute_error: 0.6522, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5737, f_measure: 0.6496, kappa: 0.1777, kb_relative_information_score: 45.1619, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6803, predictive_accuracy: 0.7019, prior_entropy: 0.9099, recall: 0.7019, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.546, root_relative_squared_error: 1.1677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6247, f_measure: 0.7077, kappa: 0.3094, kb_relative_information_score: 52.2817, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7194, predictive_accuracy: 0.7329, prior_entropy: 0.9099, recall: 0.7329, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.0987, scimark_benchmark: 1887.4343, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5616, f_measure: 0.6446, kappa: 0.1601, kb_relative_information_score: 18.61, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6451, predictive_accuracy: 0.677, prior_entropy: 0.9099, recall: 0.677, relative_absolute_error: 0.8687, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5066, root_relative_squared_error: 1.0833, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6098, f_measure: 0.6515, kappa: 0.1838, kb_relative_information_score: 26.7806, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6458, predictive_accuracy: 0.6646, prior_entropy: 0.9099, recall: 0.6646, relative_absolute_error: 0.7989, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5505, root_relative_squared_error: 1.1771, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, f_measure: 0.6637, kappa: 0.208, kb_relative_information_score: 19.5242, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6604, predictive_accuracy: 0.6832, prior_entropy: 0.9099, recall: 0.6832, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9909, scimark_benchmark: 1806.5905, usercpu_time_millis: 46.8003, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.6769, kappa: 0.2365, kb_relative_information_score: 23.9987, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6865, predictive_accuracy: 0.7081, prior_entropy: 0.9099, recall: 0.7081, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.9544, scimark_benchmark: 1806.5905, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6511, f_measure: 0.6902, kappa: 0.2745, kb_relative_information_score: 45.7638, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6868, predictive_accuracy: 0.7019, prior_entropy: 0.9099, recall: 0.7019, relative_absolute_error: 0.6797, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5381, root_relative_squared_error: 1.1508, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5959, f_measure: 0.6592, kappa: 0.2032, kb_relative_information_score: 33.8368, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.654, predictive_accuracy: 0.6708, prior_entropy: 0.9099, recall: 0.6708, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5659, root_relative_squared_error: 1.2101, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6247, f_measure: 0.7077, kappa: 0.3094, kb_relative_information_score: 52.2817, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7194, predictive_accuracy: 0.7329, prior_entropy: 0.9099, recall: 0.7329, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.0987, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.7044, kappa: 0.3015, kb_relative_information_score: 56.2668, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7206, predictive_accuracy: 0.7329, prior_entropy: 0.9099, recall: 0.7329, relative_absolute_error: 0.617, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.1023, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4804, f_measure: 0.5466, kb_relative_information_score: -0.2331, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.4584, predictive_accuracy: 0.677, prior_entropy: 0.9099, recall: 0.677, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4677, root_relative_squared_error: 1.0002, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6473, f_measure: 0.7112, kappa: 0.3204, kb_relative_information_score: 54.7813, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7119, predictive_accuracy: 0.7267, prior_entropy: 0.9099, recall: 0.7267, relative_absolute_error: 0.6238, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5228, root_relative_squared_error: 1.1179, usercpu_time_millis: 405.077, usercpu_time_millis_testing: 11.023, usercpu_time_millis_training: 394.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.639, f_measure: 0.6947, kappa: 0.2897, kb_relative_information_score: 45.1619, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6912, predictive_accuracy: 0.7019, prior_entropy: 0.9099, recall: 0.7019, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.546, root_relative_squared_error: 1.1677, usercpu_time_millis: 0.911, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5512, f_measure: 0.6266, kappa: 0.1177, kb_relative_information_score: 30.7327, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6255, predictive_accuracy: 0.6646, prior_entropy: 0.9099, recall: 0.6646, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5791, root_relative_squared_error: 1.2385, usercpu_time_millis: 4.671, usercpu_time_millis_testing: 0.464, usercpu_time_millis_training: 4.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5282, f_measure: 0.6033, kappa: 0.0631, kb_relative_information_score: 18.7084, mean_absolute_error: 0.3665, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.5937, predictive_accuracy: 0.6335, prior_entropy: 0.9099, recall: 0.6335, relative_absolute_error: 0.8365, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.6054, root_relative_squared_error: 1.2946, usercpu_time_millis: 1.817, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.6292, kappa: 0.1329, kb_relative_information_score: 40.3522, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6579, predictive_accuracy: 0.6894, prior_entropy: 0.9099, recall: 0.6894, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5573, root_relative_squared_error: 1.1917, usercpu_time_millis: 0.499, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 0.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6244, f_measure: 0.685, kappa: 0.2633, kb_relative_information_score: 42.757, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6811, predictive_accuracy: 0.6957, prior_entropy: 0.9099, recall: 0.6957, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5517, root_relative_squared_error: 1.1798, usercpu_time_millis: 0.288, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5466, kb_relative_information_score: 35.5425, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.4584, predictive_accuracy: 0.677, prior_entropy: 0.9099, recall: 0.677, relative_absolute_error: 0.7372, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5683, root_relative_squared_error: 1.2153, usercpu_time_millis: 0.273, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6028, f_measure: 0.6485, kappa: 0.2025, kb_relative_information_score: 23.5182, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6514, predictive_accuracy: 0.646, prior_entropy: 0.9099, recall: 0.646, relative_absolute_error: 0.8081, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.595, root_relative_squared_error: 1.2724, usercpu_time_millis: 0.307, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.6688, kappa: 0.2185, kb_relative_information_score: 47.5668, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6872, predictive_accuracy: 0.7081, prior_entropy: 0.9099, recall: 0.7081, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5403, root_relative_squared_error: 1.1554, usercpu_time_millis: 121.288, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 120.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6226, f_measure: 0.6942, kappa: 0.2773, kb_relative_information_score: 52.3765, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7031, predictive_accuracy: 0.7205, prior_entropy: 0.9099, recall: 0.7205, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5287, root_relative_squared_error: 1.1306, usercpu_time_millis: 15.206, usercpu_time_millis_testing: 0.864, usercpu_time_millis_training: 14.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5195, f_measure: 0.5931, kappa: 0.0424, kb_relative_information_score: 11.4939, mean_absolute_error: 0.3851, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.5824, predictive_accuracy: 0.6149, prior_entropy: 0.9099, recall: 0.6149, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.6206, root_relative_squared_error: 1.3271, usercpu_time_millis: 7.635, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 7.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6231, f_measure: 0.6923, kappa: 0.2736, kb_relative_information_score: 49.9716, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6956, predictive_accuracy: 0.7143, prior_entropy: 0.9099, recall: 0.7143, relative_absolute_error: 0.6522, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1431, usercpu_time_millis: 12.458, usercpu_time_millis_testing: 2.139, usercpu_time_millis_training: 10.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6231, f_measure: 0.6923, kappa: 0.2736, kb_relative_information_score: 49.9716, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6956, predictive_accuracy: 0.7143, prior_entropy: 0.9099, recall: 0.7143, relative_absolute_error: 0.6522, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1431, usercpu_time_millis: 1.445, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 1.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.6891, kappa: 0.2654, kb_relative_information_score: 49.9716, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6951, predictive_accuracy: 0.7143, prior_entropy: 0.9099, recall: 0.7143, relative_absolute_error: 0.6522, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1431, usercpu_time_millis: 3.128, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 2.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6583, f_measure: 0.7094, kappa: 0.3264, kb_relative_information_score: 49.9716, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7065, predictive_accuracy: 0.7143, prior_entropy: 0.9099, recall: 0.7143, relative_absolute_error: 0.6522, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1431, usercpu_time_millis: 0.965, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6239, f_measure: 0.6877, kappa: 0.2667, kb_relative_information_score: 45.1619, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6849, predictive_accuracy: 0.7019, prior_entropy: 0.9099, recall: 0.7019, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.546, root_relative_squared_error: 1.1677, usercpu_time_millis: 14.319, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 14.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5581, f_measure: 0.6292, kappa: 0.1483, kb_relative_information_score: 47.5668, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7278, predictive_accuracy: 0.7081, prior_entropy: 0.9099, recall: 0.7081, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5403, root_relative_squared_error: 1.1554, usercpu_time_millis: 0.181, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6281, f_measure: 0.6953, kappa: 0.2817, kb_relative_information_score: 49.9716, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6964, predictive_accuracy: 0.7143, prior_entropy: 0.9099, recall: 0.7143, relative_absolute_error: 0.6522, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1431, usercpu_time_millis: 1.166, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 1.142,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.6786, kappa: 0.2497, kb_relative_information_score: 57.1862, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7499, predictive_accuracy: 0.7329, prior_entropy: 0.9099, recall: 0.7329, relative_absolute_error: 0.6096, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5168, root_relative_squared_error: 1.1052, usercpu_time_millis: 0.09, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.071,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.6957, kappa: 0.2811, kb_relative_information_score: 54.7813, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7127, predictive_accuracy: 0.7267, prior_entropy: 0.9099, recall: 0.7267, relative_absolute_error: 0.6238, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5228, root_relative_squared_error: 1.1179, usercpu_time_millis: 0.22, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.204,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6052, f_measure: 0.6695, kappa: 0.225, kb_relative_information_score: 37.9473, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6651, predictive_accuracy: 0.6832, prior_entropy: 0.9099, recall: 0.6832, relative_absolute_error: 0.7231, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5628, root_relative_squared_error: 1.2036, usercpu_time_millis: 0.204, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.171,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5959, f_measure: 0.6592, kappa: 0.2032, kb_relative_information_score: 33.8368, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.654, predictive_accuracy: 0.6708, prior_entropy: 0.9099, recall: 0.6708, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5659, root_relative_squared_error: 1.2101, scimark_benchmark: 1234.5186, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6339, f_measure: 0.6556, kappa: 0.2069, kb_relative_information_score: 21.7717, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6533, predictive_accuracy: 0.6584, prior_entropy: 0.9099, recall: 0.6584, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.1002, scimark_benchmark: 1222.6748, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.7044, kappa: 0.3015, kb_relative_information_score: 56.2668, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7206, predictive_accuracy: 0.7329, prior_entropy: 0.9099, recall: 0.7329, relative_absolute_error: 0.617, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.1023, scimark_benchmark: 1233.2916, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5959, f_measure: 0.6592, kappa: 0.2032, kb_relative_information_score: 33.8368, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.654, predictive_accuracy: 0.6708, prior_entropy: 0.9099, recall: 0.6708, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5659, root_relative_squared_error: 1.2101, scimark_benchmark: 473.1656, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.7363, kappa: 0.3913, kb_relative_information_score: 53.3006, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7344, predictive_accuracy: 0.7391, prior_entropy: 0.9099, recall: 0.7391, relative_absolute_error: 0.6434, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9797, scimark_benchmark: 1254.1389, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6098, f_measure: 0.6515, kappa: 0.1838, kb_relative_information_score: 26.7806, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6458, predictive_accuracy: 0.6646, prior_entropy: 0.9099, recall: 0.6646, relative_absolute_error: 0.7989, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5505, root_relative_squared_error: 1.1771, scimark_benchmark: 473.1656, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.7044, kappa: 0.3015, kb_relative_information_score: 55.7768, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7206, predictive_accuracy: 0.7329, prior_entropy: 0.9099, recall: 0.7329, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.105, scimark_benchmark: 473.1656, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5213, f_measure: 0.6038, kappa: 0.0752, kb_relative_information_score: 4.7482, mean_absolute_error: 0.4193, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6191, predictive_accuracy: 0.6708, prior_entropy: 0.9099, recall: 0.6708, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4804, root_relative_squared_error: 1.0273, scimark_benchmark: 479.2609, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.7044, kappa: 0.3015, kb_relative_information_score: 56.2668, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7206, predictive_accuracy: 0.7329, prior_entropy: 0.9099, recall: 0.7329, relative_absolute_error: 0.617, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.1023, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6213, f_measure: 0.6979, kappa: 0.2891, kb_relative_information_score: 59.591, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7416, predictive_accuracy: 0.7391, prior_entropy: 0.9099, recall: 0.7391, relative_absolute_error: 0.5955, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.0922, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.7044, kappa: 0.3015, kb_relative_information_score: 56.2668, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7206, predictive_accuracy: 0.7329, prior_entropy: 0.9099, recall: 0.7329, relative_absolute_error: 0.617, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.1023, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.6735, kappa: 0.2463, kb_relative_information_score: 28.5193, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6708, predictive_accuracy: 0.677, prior_entropy: 0.9099, recall: 0.677, relative_absolute_error: 0.7842, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.533, root_relative_squared_error: 1.1398, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4804, f_measure: 0.5466, kb_relative_information_score: -0.2331, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.4584, predictive_accuracy: 0.677, prior_entropy: 0.9099, recall: 0.677, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4677, root_relative_squared_error: 1.0002, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4804, f_measure: 0.5466, kb_relative_information_score: -0.2331, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.4584, predictive_accuracy: 0.677, prior_entropy: 0.9099, recall: 0.677, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4677, root_relative_squared_error: 1.0002, scimark_benchmark: 1248.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, f_measure: 0.6639, kappa: 0.2066, kb_relative_information_score: 20.6484, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6776, predictive_accuracy: 0.7019, prior_entropy: 0.9099, recall: 0.7019, relative_absolute_error: 0.8724, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.999, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, f_measure: 0.6206, kappa: 0.1049, kb_relative_information_score: 5.4251, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6131, predictive_accuracy: 0.646, prior_entropy: 0.9099, recall: 0.646, relative_absolute_error: 0.9312, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4856, root_relative_squared_error: 1.0385, scimark_benchmark: 972.587, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6354, f_measure: 0.7007, kappa: 0.2972, kb_relative_information_score: 29.1477, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6989, predictive_accuracy: 0.7143, prior_entropy: 0.9099, recall: 0.7143, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4813, root_relative_squared_error: 1.0293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5935, f_measure: 0.6359, kappa: 0.1405, kb_relative_information_score: 17.7025, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6408, predictive_accuracy: 0.677, prior_entropy: 0.9099, recall: 0.677, relative_absolute_error: 0.8664, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0652, scimark_benchmark: 851.2074, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.5436, kappa: -0.0123, kb_relative_information_score: 33.1376, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.457, predictive_accuracy: 0.6708, prior_entropy: 0.9099, recall: 0.6708, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5738, root_relative_squared_error: 1.227, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.5436, kappa: -0.0123, kb_relative_information_score: 33.1376, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.457, predictive_accuracy: 0.6708, prior_entropy: 0.9099, recall: 0.6708, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5738, root_relative_squared_error: 1.227, scimark_benchmark: 916.0735, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6737, f_measure: 0.6902, kappa: 0.2745, kb_relative_information_score: 29.5063, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6868, predictive_accuracy: 0.7019, prior_entropy: 0.9099, recall: 0.7019, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0213, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.6605, kappa: 0.1992, kb_relative_information_score: 21.6954, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6583, predictive_accuracy: 0.6832, prior_entropy: 0.9099, recall: 0.6832, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.9616, scimark_benchmark: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.684, kappa: 0.2537, kb_relative_information_score: 31.7915, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6875, predictive_accuracy: 0.7081, prior_entropy: 0.9099, recall: 0.7081, relative_absolute_error: 0.791, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.9561, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6737, f_measure: 0.6902, kappa: 0.2745, kb_relative_information_score: 29.5063, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6868, predictive_accuracy: 0.7019, prior_entropy: 0.9099, recall: 0.7019, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0213, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6167, f_measure: 0.682, kappa: 0.2504, kb_relative_information_score: 22.3988, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6816, predictive_accuracy: 0.7019, prior_entropy: 0.9099, recall: 0.7019, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0297, scimark_benchmark: 927.2917, usercpu_time_millis: 750, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.5436, kappa: -0.0123, kb_relative_information_score: 33.1376, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.457, predictive_accuracy: 0.6708, prior_entropy: 0.9099, recall: 0.6708, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5738, root_relative_squared_error: 1.227, scimark_benchmark: 932.438, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,

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

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From your own software

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

OpenML APIs