Task
Supervised Classification on analcatdata_supreme

Supervised Classification on analcatdata_supreme

Task 3594 Supervised Classification analcatdata_supreme 539 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9918, kappa: 0.9776, kb_relative_information_score: 3933.3769, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9918, predictive_accuracy: 0.9919, prior_entropy: 0.7946, recall: 0.9919, relative_absolute_error: 0.027, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.1772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9928, kappa: 0.9803, kb_relative_information_score: 3929.4107, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.7946, recall: 0.9928, relative_absolute_error: 0.0305, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.1769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 3903.4467, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0416, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.1932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9921, kappa: 0.9782, kb_relative_information_score: 3921.5427, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.7946, recall: 0.9921, relative_absolute_error: 0.033, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.1996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 3896.1739, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.1941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9849, kappa: 0.9586, kb_relative_information_score: 3835.8984, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 0.7946, recall: 0.9849, relative_absolute_error: 0.0496, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.111, root_relative_squared_error: 0.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9938, kappa: 0.983, kb_relative_information_score: 3954.9791, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.7946, recall: 0.9938, relative_absolute_error: 0.0223, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.1809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9749, kappa: 0.9315, kb_relative_information_score: 3648.3472, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9751, predictive_accuracy: 0.9748, prior_entropy: 0.7946, recall: 0.9748, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.3423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 3386.0195, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.1899, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.3183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9816, kappa: 0.9501, kb_relative_information_score: 3216.6101, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9822, predictive_accuracy: 0.9815, prior_entropy: 0.7946, recall: 0.9815, relative_absolute_error: 0.2253, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.4049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9918, kappa: 0.9775, kb_relative_information_score: 3388.0491, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 0.7946, recall: 0.9919, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.135, root_relative_squared_error: 0.3163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9701, kappa: 0.9191, kb_relative_information_score: 3264.2115, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9716, predictive_accuracy: 0.9696, prior_entropy: 0.7946, recall: 0.9696, relative_absolute_error: 0.2038, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9849, kappa: 0.9585, kb_relative_information_score: 3812.8189, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 0.7946, recall: 0.9849, relative_absolute_error: 0.0557, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9872, kappa: 0.9648, kb_relative_information_score: 3872.8005, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9872, predictive_accuracy: 0.9872, prior_entropy: 0.7946, recall: 0.9872, relative_absolute_error: 0.0395, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1024, root_relative_squared_error: 0.2399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9926, kappa: 0.9796, kb_relative_information_score: 3932.6128, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9926, predictive_accuracy: 0.9926, prior_entropy: 0.7946, recall: 0.9926, relative_absolute_error: 0.0305, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 2759.2448, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.4351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.6569, kb_relative_information_score: -0.4283, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.5782, predictive_accuracy: 0.7604, prior_entropy: 0.7946, recall: 0.7604, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.4269, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 3915.7022, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0368, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.1925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9839, kappa: 0.9557, kb_relative_information_score: 3814.2214, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9839, predictive_accuracy: 0.984, prior_entropy: 0.7946, recall: 0.984, relative_absolute_error: 0.0543, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9884, kappa: 0.9681, kb_relative_information_score: 3892.5468, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9884, predictive_accuracy: 0.9884, prior_entropy: 0.7946, recall: 0.9884, relative_absolute_error: 0.0374, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.086, root_relative_squared_error: 0.2015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9921, kappa: 0.9782, kb_relative_information_score: 3917.1454, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.7946, recall: 0.9921, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.2018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.974, kappa: 0.929, kb_relative_information_score: 3195.5984, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9743, predictive_accuracy: 0.9738, prior_entropy: 0.7946, recall: 0.9738, relative_absolute_error: 0.2281, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.4169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9894, kappa: 0.9708, kb_relative_information_score: 3862.2424, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.7946, recall: 0.9894, relative_absolute_error: 0.0494, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.2331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9894, kappa: 0.9708, kb_relative_information_score: 3918.0212, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.7946, recall: 0.9894, relative_absolute_error: 0.0291, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.103, root_relative_squared_error: 0.2413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.974, kappa: 0.929, kb_relative_information_score: 3195.5984, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9743, predictive_accuracy: 0.9738, prior_entropy: 0.7946, recall: 0.9738, relative_absolute_error: 0.2281, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.4169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9921, kappa: 0.9782, kb_relative_information_score: 3917.1454, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.7946, recall: 0.9921, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.2018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9752, kappa: 0.9322, kb_relative_information_score: 3191.647, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9754, predictive_accuracy: 0.9751, prior_entropy: 0.7946, recall: 0.9751, relative_absolute_error: 0.2304, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.4152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9933, kappa: 0.9817, kb_relative_information_score: 3939.9366, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.7946, recall: 0.9933, relative_absolute_error: 0.0271, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.072, root_relative_squared_error: 0.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 3847.1629, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.1903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 3964.3776, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.019, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.1947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9901, kappa: 0.9728, kb_relative_information_score: 3927.2925, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9901, predictive_accuracy: 0.9901, prior_entropy: 0.7946, recall: 0.9901, relative_absolute_error: 0.0271, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.2328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 3914.1753, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0376, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.974, kappa: 0.929, kb_relative_information_score: 3195.5984, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9743, predictive_accuracy: 0.9738, prior_entropy: 0.7946, recall: 0.9738, relative_absolute_error: 0.2281, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.4169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9918, kappa: 0.9775, kb_relative_information_score: 3900.5287, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 0.7946, recall: 0.9919, relative_absolute_error: 0.0396, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.2008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9926, kappa: 0.9797, kb_relative_information_score: 3930.2714, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9926, predictive_accuracy: 0.9926, prior_entropy: 0.7946, recall: 0.9926, relative_absolute_error: 0.0286, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.076, root_relative_squared_error: 0.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9933, kappa: 0.9817, kb_relative_information_score: 3953.7442, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.7946, recall: 0.9933, relative_absolute_error: 0.0223, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.1906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6569, kb_relative_information_score: 1050.1039, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.5782, predictive_accuracy: 0.7604, prior_entropy: 0.7946, recall: 0.7604, relative_absolute_error: 0.6575, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.1468, scimark_benchmark: 1697.6783, usercpu_time_millis: 687.5, usercpu_time_millis_testing: 359.375, usercpu_time_millis_training: 328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9921, kappa: 0.9781, kb_relative_information_score: 3952.0159, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.7946, recall: 0.9921, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.2082, scimark_benchmark: 1862.8608, usercpu_time_millis: 187.5, usercpu_time_millis_testing: 78.125, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6569, kb_relative_information_score: 1050.1039, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.5782, predictive_accuracy: 0.7604, prior_entropy: 0.7946, recall: 0.7604, relative_absolute_error: 0.6575, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.1468, scimark_benchmark: 1394.5078, usercpu_time_millis: 1060, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9921, kappa: 0.9781, kb_relative_information_score: 3952.0159, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.7946, recall: 0.9921, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.2082, scimark_benchmark: 1379.9297, usercpu_time_millis: 260, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 3908.1151, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.1937, scimark_benchmark: 1918.4916, usercpu_time_millis: 9859.375, usercpu_time_millis_training: 9859.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 3934.3164, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0296, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.195, scimark_benchmark: 1918.4916, usercpu_time_millis: 8687.5, usercpu_time_millis_training: 8687.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9852, kappa: 0.9595, kb_relative_information_score: 3865.4839, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9853, predictive_accuracy: 0.9852, prior_entropy: 0.7946, recall: 0.9852, relative_absolute_error: 0.0406, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.2851, scimark_benchmark: 1827.4462, usercpu_time_millis: 125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 93.75,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9894, kappa: 0.9708, kb_relative_information_score: 3918.0212, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.7946, recall: 0.9894, relative_absolute_error: 0.0291, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.103, root_relative_squared_error: 0.2413, scimark_benchmark: 1155.297, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9894, kappa: 0.9708, kb_relative_information_score: 3604.2754, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.7946, recall: 0.9894, relative_absolute_error: 0.1143, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.2948, scimark_benchmark: 1180.2632, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9921, kappa: 0.9782, kb_relative_information_score: 3921.5427, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.7946, recall: 0.9921, relative_absolute_error: 0.033, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.1996, scimark_benchmark: 1269.7972, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9869, kappa: 0.964, kb_relative_information_score: 3866.3611, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.7946, recall: 0.9869, relative_absolute_error: 0.0428, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.2089, scimark_benchmark: 1860.4354, usercpu_time_millis: 1046.875, usercpu_time_millis_testing: 1046.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9894, kappa: 0.9709, kb_relative_information_score: 3911.9191, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.7946, recall: 0.9894, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.202, scimark_benchmark: 1840.6094, usercpu_time_millis: 1015.625, usercpu_time_millis_testing: 1015.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9843, kappa: 0.957, kb_relative_information_score: 3855.3999, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9844, predictive_accuracy: 0.9842, prior_entropy: 0.7946, recall: 0.9842, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.2379, scimark_benchmark: 1840.6094, usercpu_time_millis: 1156.25, usercpu_time_millis_testing: 1156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9832, kappa: 0.9538, kb_relative_information_score: 3802.8348, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9832, predictive_accuracy: 0.9832, prior_entropy: 0.7946, recall: 0.9832, relative_absolute_error: 0.0578, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.2476, scimark_benchmark: 1873.1108, usercpu_time_millis: 1468.75, usercpu_time_millis_testing: 1468.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9879, kappa: 0.9668, kb_relative_information_score: 3889.7793, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9879, predictive_accuracy: 0.9879, prior_entropy: 0.7946, recall: 0.9879, relative_absolute_error: 0.0377, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.2023, scimark_benchmark: 1873.1108, usercpu_time_millis: 906.25, usercpu_time_millis_testing: 906.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9844, kappa: 0.9571, kb_relative_information_score: 3818.4523, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9844, predictive_accuracy: 0.9845, prior_entropy: 0.7946, recall: 0.9845, relative_absolute_error: 0.0534, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1068, root_relative_squared_error: 0.2501, scimark_benchmark: 1873.1108, usercpu_time_millis: 1281.25, usercpu_time_millis_testing: 1265.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9816, kappa: 0.9492, kb_relative_information_score: 3822.2179, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9817, predictive_accuracy: 0.9817, prior_entropy: 0.7946, recall: 0.9817, relative_absolute_error: 0.0501, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.3166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9911, kappa: 0.9755, kb_relative_information_score: 3939.6542, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 0.7946, recall: 0.9911, relative_absolute_error: 0.0244, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.2208, scimark_benchmark: 1779.392, usercpu_time_millis: 93.6006, usercpu_time_millis_training: 93.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9906, kappa: 0.9741, kb_relative_information_score: 3933.4733, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.7946, recall: 0.9906, relative_absolute_error: 0.0257, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.2269, scimark_benchmark: 1779.392, usercpu_time_millis: 93.6006, usercpu_time_millis_training: 93.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9928, kappa: 0.9802, kb_relative_information_score: 3908.118, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9929, predictive_accuracy: 0.9928, prior_entropy: 0.7946, recall: 0.9928, relative_absolute_error: 0.0379, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.084, root_relative_squared_error: 0.1969, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9923, kappa: 0.9788, kb_relative_information_score: 3908.0641, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.7946, recall: 0.9923, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.1977, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 3899.6292, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.043, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.1941, scimark_benchmark: 1732.2066, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 3896.1739, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.1941, scimark_benchmark: 1732.2066, 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: 0.5, f_measure: 0.6569, kb_relative_information_score: 1050.1039, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.5782, predictive_accuracy: 0.7604, prior_entropy: 0.7946, recall: 0.7604, relative_absolute_error: 0.6575, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.1468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9933, kappa: 0.9817, kb_relative_information_score: 3967.468, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.7946, recall: 0.9933, relative_absolute_error: 0.0183, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.1912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 3914.1756, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0376, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.194, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9921, kappa: 0.9782, kb_relative_information_score: 3917.1454, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.7946, recall: 0.9921, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.2018, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9918, kappa: 0.9776, kb_relative_information_score: 3941.0239, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9918, predictive_accuracy: 0.9919, prior_entropy: 0.7946, recall: 0.9919, relative_absolute_error: 0.026, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.1722, scimark_benchmark: 1838.8826, usercpu_time_millis: 218.4014, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 187.2012,

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