Task
Supervised Classification on cjs

Supervised Classification on cjs

Task 14967 Supervised Classification cjs 10700 runs submitted
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  • OpenML100 study_107 study_123 study_14
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2795.6876, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, root_mean_prior_squared_error: 0.3694, scimark_benchmark: 1037.6217, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5197, f_measure: 0.1102, kappa: 0.0417, kb_relative_information_score: 326.4253, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.192, predictive_accuracy: 0.2053, prior_entropy: 2.5207, recall: 0.2053, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.5141, root_relative_squared_error: 1.3918, scimark_benchmark: 1097.0582, usercpu_time_millis: 3070, usercpu_time_millis_testing: 3070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2795.6876, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, root_mean_prior_squared_error: 0.3694, scimark_benchmark: 1151.3921, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2569.4288, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0811, root_relative_squared_error: 0.2197, scimark_benchmark: 1138.7966, usercpu_time_millis: 1360, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.8458, kappa: 0.7998, kb_relative_information_score: 2258.6351, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9089, predictive_accuracy: 0.8366, prior_entropy: 2.5207, recall: 0.8366, relative_absolute_error: 0.2421, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.4232, scimark_benchmark: 1123.3812, usercpu_time_millis: 220, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9954, kappa: 0.9943, kb_relative_information_score: 2779.6406, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 2.5207, recall: 0.9954, relative_absolute_error: 0.0067, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0374, root_relative_squared_error: 0.1012, scimark_benchmark: 1276.0667, usercpu_time_millis: 1100, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.837, kappa: 0.8018, kb_relative_information_score: 2085.6706, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8533, predictive_accuracy: 0.8391, prior_entropy: 2.5207, recall: 0.8391, relative_absolute_error: 0.3209, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.5653, scimark_benchmark: 1082.4939, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9979, kappa: 0.9974, kb_relative_information_score: 2788.5792, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 2.5207, recall: 0.9979, relative_absolute_error: 0.0027, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0266, root_relative_squared_error: 0.072, scimark_benchmark: 632.2174, usercpu_time_millis: 1550, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1037.5953, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.8389, scimark_benchmark: 978.3523, usercpu_time_millis: 3990, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.555, f_measure: 0.0747, kappa: 0.0065, kb_relative_information_score: 395.6875, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.1142, predictive_accuracy: 0.1853, prior_entropy: 2.5207, recall: 0.1853, relative_absolute_error: 0.9896, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.4381, root_relative_squared_error: 1.186, scimark_benchmark: 1360.622, usercpu_time_millis: 2240, usercpu_time_millis_testing: 2230, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5738, f_measure: 0.066, kappa: 0.0029, kb_relative_information_score: 330.0345, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.3609, predictive_accuracy: 0.1845, prior_entropy: 2.5207, recall: 0.1845, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.4164, root_relative_squared_error: 1.1274, scimark_benchmark: 1332.8111, usercpu_time_millis: 2310, usercpu_time_millis_testing: 2300, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2795.6129, mean_absolute_error: 0, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0, root_relative_squared_error: 0.0001, scimark_benchmark: 1325.7332, usercpu_time_millis: 390, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2628.2854, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0509, root_relative_squared_error: 0.1377, scimark_benchmark: 484.8537, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2795.5901, mean_absolute_error: 0, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0007, root_relative_squared_error: 0.0019, scimark_benchmark: 992.3941, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2707.8979, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, relative_absolute_error: 0.0627, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0352, root_relative_squared_error: 0.0953, scimark_benchmark: 1225.1551, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2795.6876, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, root_mean_prior_squared_error: 0.3694, scimark_benchmark: 915.1434, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2792.3777, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, relative_absolute_error: 0.0014, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0129, root_relative_squared_error: 0.0349, scimark_benchmark: 979.3415, usercpu_time_millis: 530, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9968, kappa: 0.9961, kb_relative_information_score: 2781.5438, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 2.5207, recall: 0.9968, relative_absolute_error: 0.0048, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0259, root_relative_squared_error: 0.07, scimark_benchmark: 1131.4445, usercpu_time_millis: 460, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5411, f_measure: 0.1202, kappa: 0.0383, kb_relative_information_score: 430.6002, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.2743, predictive_accuracy: 0.2039, prior_entropy: 2.5207, recall: 0.2039, relative_absolute_error: 0.9686, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.2872, scimark_benchmark: 1282.16, usercpu_time_millis: 2610, usercpu_time_millis_testing: 2600, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2795.6129, mean_absolute_error: 0, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0, root_relative_squared_error: 0.0001, scimark_benchmark: 1058.7843, usercpu_time_millis: 730, usercpu_time_millis_testing: 620, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.6716, kappa: 0.691, kb_relative_information_score: 1469.5759, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.6173, predictive_accuracy: 0.7511, prior_entropy: 2.5207, recall: 0.7511, relative_absolute_error: 0.6514, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.7166, scimark_benchmark: 521.2081, usercpu_time_millis: 8260, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 8170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5986, f_measure: 0.1661, kappa: 0.1016, kb_relative_information_score: 332.9842, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.1185, predictive_accuracy: 0.3004, prior_entropy: 2.5207, recall: 0.3004, relative_absolute_error: 0.9567, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9789, scimark_benchmark: 849.3983, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2795.6876, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, root_mean_prior_squared_error: 0.3694, scimark_benchmark: 1297.6797, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.6739, kappa: 0.6634, kb_relative_information_score: 1428.9719, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.6339, predictive_accuracy: 0.7285, prior_entropy: 2.5207, recall: 0.7285, relative_absolute_error: 0.6599, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.7362, scimark_benchmark: 930.2968, usercpu_time_millis: 5480, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 5450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9754, kappa: 0.9703, kb_relative_information_score: 2707.4642, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9769, predictive_accuracy: 0.9757, prior_entropy: 2.5207, recall: 0.9757, relative_absolute_error: 0.0297, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.09, root_relative_squared_error: 0.2438, usercpu_time_millis: 75.672, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 75.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2795.6876, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, root_mean_prior_squared_error: 0.3694, usercpu_time_millis: 5.06, usercpu_time_millis_testing: 2.147, usercpu_time_millis_training: 2.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9682, kappa: 0.9611, kb_relative_information_score: 2688.9771, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9684, predictive_accuracy: 0.9682, prior_entropy: 2.5207, recall: 0.9682, relative_absolute_error: 0.0389, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.103, root_relative_squared_error: 0.2789, usercpu_time_millis: 9.536, usercpu_time_millis_testing: 2.257, usercpu_time_millis_training: 7.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2795.6876, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, root_mean_prior_squared_error: 0.3694, usercpu_time_millis: 13.753, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 13.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2795.6876, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, root_mean_prior_squared_error: 0.3694, usercpu_time_millis: 16.768, usercpu_time_millis_testing: 0.637, usercpu_time_millis_training: 16.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2795.6876, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, root_mean_prior_squared_error: 0.3694, usercpu_time_millis: 15.891, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 15.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2795.6876, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, root_mean_prior_squared_error: 0.3694, usercpu_time_millis: 176.208, usercpu_time_millis_testing: 0.591, usercpu_time_millis_training: 175.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.819, kappa: 0.7794, kb_relative_information_score: 2202.4926, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8201, predictive_accuracy: 0.8197, prior_entropy: 2.5207, recall: 0.8197, relative_absolute_error: 0.2202, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6636, usercpu_time_millis: 1.118, usercpu_time_millis_testing: 1.099, usercpu_time_millis_training: 0.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.5647, kappa: 0.4711, kb_relative_information_score: 1384.1255, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.591, predictive_accuracy: 0.5712, prior_entropy: 2.5207, recall: 0.5712, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3781, root_relative_squared_error: 1.0236, usercpu_time_millis: 1.764, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 1.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2795.6876, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, root_mean_prior_squared_error: 0.3694, usercpu_time_millis: 2.463, usercpu_time_millis_testing: 1.058, usercpu_time_millis_training: 1.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6591, f_measure: 0.3605, kappa: 0.3143, kb_relative_information_score: 992.3824, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.4351, predictive_accuracy: 0.4549, prior_entropy: 2.5207, recall: 0.4549, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.4262, root_relative_squared_error: 1.154, usercpu_time_millis: 3.782, usercpu_time_millis_testing: 3.398, usercpu_time_millis_training: 0.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2795.6876, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, root_mean_prior_squared_error: 0.3694, usercpu_time_millis: 4.487, usercpu_time_millis_testing: 1.024, usercpu_time_millis_training: 3.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.7878, kappa: 0.7417, kb_relative_information_score: 2098.9756, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8014, predictive_accuracy: 0.7904, prior_entropy: 2.5207, recall: 0.7904, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2643, root_relative_squared_error: 0.7156, usercpu_time_millis: 11.471, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 11.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8904, kappa: 0.8638, kb_relative_information_score: 2427.6804, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8948, predictive_accuracy: 0.8884, prior_entropy: 2.5207, recall: 0.8884, relative_absolute_error: 0.1363, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.5221, usercpu_time_millis: 8.596, usercpu_time_millis_testing: 1.186, usercpu_time_millis_training: 7.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9975, kappa: 0.9969, kb_relative_information_score: 2787.8057, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 2.5207, recall: 0.9975, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0289, root_relative_squared_error: 0.0782, usercpu_time_millis: 16.249, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 16.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9946, kappa: 0.9934, kb_relative_information_score: 2778.8831, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9948, predictive_accuracy: 0.9946, prior_entropy: 2.5207, recall: 0.9946, relative_absolute_error: 0.0066, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0423, root_relative_squared_error: 0.1145, usercpu_time_millis: 12.162, usercpu_time_millis_testing: 0.92, usercpu_time_millis_training: 11.242,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2628.2865, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0509, root_relative_squared_error: 0.1377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2622.981, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0523, root_relative_squared_error: 0.1417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5917, f_measure: 0.1677, kappa: 0.0929, kb_relative_information_score: 329.005, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.1395, predictive_accuracy: 0.2951, prior_entropy: 2.5207, recall: 0.2951, relative_absolute_error: 0.9571, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2795.6876, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, root_mean_prior_squared_error: 0.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2787.3396, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, relative_absolute_error: 0.0062, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0064, root_relative_squared_error: 0.0173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.5569, kappa: 0.4602, kb_relative_information_score: 1102.7646, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.7949, predictive_accuracy: 0.5672, prior_entropy: 2.5207, recall: 0.5672, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.8109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2795.5979, mean_absolute_error: 0, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0009, root_relative_squared_error: 0.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2795.5979, mean_absolute_error: 0, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0009, root_relative_squared_error: 0.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9989, kappa: 0.9987, kb_relative_information_score: 2782.7411, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 2.5207, recall: 0.9989, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.024, root_relative_squared_error: 0.0651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9783, kappa: 0.9734, kb_relative_information_score: 220.3667, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9784, predictive_accuracy: 0.9782, prior_entropy: 2.5207, recall: 0.9782, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6208, f_measure: 0.1664, kappa: 0.1013, kb_relative_information_score: 324.5758, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.1192, predictive_accuracy: 0.3008, prior_entropy: 2.5207, recall: 0.3008, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9983, kb_relative_information_score: 2612.6409, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 2.5207, recall: 0.9986, relative_absolute_error: 0.125, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0651, root_relative_squared_error: 0.1761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9996, kappa: 0.9996, kb_relative_information_score: 2794.7148, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 2.5207, recall: 0.9996, relative_absolute_error: 0.0004, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.007, root_relative_squared_error: 0.0189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2795.6876, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, root_mean_prior_squared_error: 0.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9968, kappa: 0.9961, kb_relative_information_score: 2552.2374, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 2.5207, recall: 0.9968, relative_absolute_error: 0.1542, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.2511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8397, kappa: 0.8049, kb_relative_information_score: 2081.7928, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8555, predictive_accuracy: 0.8416, prior_entropy: 2.5207, recall: 0.8416, relative_absolute_error: 0.3283, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.5516,

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