Task
Supervised Classification on sylva_prior

Supervised Classification on sylva_prior

Task 3893 Supervised Classification sylva_prior 286 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9834, kappa: 0.8627, kb_relative_information_score: 10932.2672, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.985, predictive_accuracy: 0.9828, prior_entropy: 0.3338, recall: 0.9828, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1112, root_relative_squared_error: 0.4627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9933, kappa: 0.9421, kb_relative_information_score: 12242.8229, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.3338, recall: 0.9933, relative_absolute_error: 0.1089, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.3088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9934, kappa: 0.9435, kb_relative_information_score: 11983.0209, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9936, predictive_accuracy: 0.9933, prior_entropy: 0.3338, recall: 0.9933, relative_absolute_error: 0.1091, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.3133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9919, kappa: 0.9311, kb_relative_information_score: 12668.6468, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9922, predictive_accuracy: 0.9918, prior_entropy: 0.3338, recall: 0.9918, relative_absolute_error: 0.1053, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.3586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9833, kappa: 0.8613, kb_relative_information_score: 9947.7562, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9848, predictive_accuracy: 0.9826, prior_entropy: 0.3338, recall: 0.9826, relative_absolute_error: 0.2097, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.5479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9928, kappa: 0.9386, kb_relative_information_score: 12906.9517, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.993, predictive_accuracy: 0.9927, prior_entropy: 0.3338, recall: 0.9927, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.3505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9945, kappa: 0.9531, kb_relative_information_score: 13396.4517, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 0.3338, recall: 0.9945, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.3012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9926, kappa: 0.9356, kb_relative_information_score: 12833.3551, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9926, predictive_accuracy: 0.9926, prior_entropy: 0.3338, recall: 0.9926, relative_absolute_error: 0.089, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.3396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9593, kappa: 0.6027, kb_relative_information_score: 6647.3664, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9639, predictive_accuracy: 0.9649, prior_entropy: 0.3338, recall: 0.9649, relative_absolute_error: 0.44, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.6353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9903, kappa: 0.9143, kb_relative_information_score: 12085.9887, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9903, predictive_accuracy: 0.9905, prior_entropy: 0.3338, recall: 0.9905, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.3483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9928, kappa: 0.9386, kb_relative_information_score: 12098.548, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.993, predictive_accuracy: 0.9927, prior_entropy: 0.3338, recall: 0.9927, relative_absolute_error: 0.104, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.3257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9731, kappa: 0.7897, kb_relative_information_score: 8283.1261, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9793, predictive_accuracy: 0.9707, prior_entropy: 0.3338, recall: 0.9707, relative_absolute_error: 0.2614, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9691, kappa: 0.7465, kb_relative_information_score: 8231.6685, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9717, predictive_accuracy: 0.9676, prior_entropy: 0.3338, recall: 0.9676, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.6711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9952, kappa: 0.9588, kb_relative_information_score: 13381.2812, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9953, predictive_accuracy: 0.9951, prior_entropy: 0.3338, recall: 0.9951, relative_absolute_error: 0.0471, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0672, root_relative_squared_error: 0.2798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9933, kappa: 0.9425, kb_relative_information_score: 12798.6275, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.3338, recall: 0.9933, relative_absolute_error: 0.0871, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.3048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.992, kappa: 0.9294, kb_relative_information_score: 9818.9239, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.992, predictive_accuracy: 0.9921, prior_entropy: 0.3338, recall: 0.9921, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.3756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.9087, kb_relative_information_score: -17.2542, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9835, kappa: 0.8581, kb_relative_information_score: 10501.7912, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9836, predictive_accuracy: 0.9834, prior_entropy: 0.3338, recall: 0.9834, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.114, root_relative_squared_error: 0.4744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.978, kappa: 0.8066, kb_relative_information_score: 7715.866, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9777, predictive_accuracy: 0.9783, prior_entropy: 0.3338, recall: 0.9783, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9904, kappa: 0.9164, kb_relative_information_score: 12121.5858, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.3338, recall: 0.9904, relative_absolute_error: 0.1071, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9929, kappa: 0.9389, kb_relative_information_score: 12956.6684, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 0.3338, recall: 0.9929, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.3458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9771, kappa: 0.818, kb_relative_information_score: 9592.6223, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9818, predictive_accuracy: 0.9753, prior_entropy: 0.3338, recall: 0.9753, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.6197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9936, kappa: 0.9453, kb_relative_information_score: 13223.6744, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9937, predictive_accuracy: 0.9936, prior_entropy: 0.3338, recall: 0.9936, relative_absolute_error: 0.0654, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0721, root_relative_squared_error: 0.3001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.9767, kappa: 0.7959, kb_relative_information_score: 10306.7865, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9765, predictive_accuracy: 0.977, prior_entropy: 0.3338, recall: 0.977, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.6309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9609, kappa: 0.6437, kb_relative_information_score: -4686.7649, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9602, predictive_accuracy: 0.9631, prior_entropy: 0.3338, recall: 0.9631, relative_absolute_error: 0.6014, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.7682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9941, kappa: 0.9488, kb_relative_information_score: 10892.2822, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9941, predictive_accuracy: 0.9942, prior_entropy: 0.3338, recall: 0.9942, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.977, kappa: 0.8173, kb_relative_information_score: 9543.7086, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9818, predictive_accuracy: 0.9751, prior_entropy: 0.3338, recall: 0.9751, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.6163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9929, kappa: 0.9389, kb_relative_information_score: 12956.6684, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 0.3338, recall: 0.9929, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.3458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9814, kappa: 0.8491, kb_relative_information_score: 10371.4831, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9843, predictive_accuracy: 0.9803, prior_entropy: 0.3338, recall: 0.9803, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.5311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.9796, kappa: 0.822, kb_relative_information_score: 10811.9032, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9795, predictive_accuracy: 0.9799, prior_entropy: 0.3338, recall: 0.9799, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.5906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.9883, kappa: 0.8979, kb_relative_information_score: 12314.9335, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9882, predictive_accuracy: 0.9883, prior_entropy: 0.3338, recall: 0.9883, relative_absolute_error: 0.101, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.108, root_relative_squared_error: 0.4495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.977, kappa: 0.8177, kb_relative_information_score: 9574.2164, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9818, predictive_accuracy: 0.9752, prior_entropy: 0.3338, recall: 0.9752, relative_absolute_error: 0.218, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.6216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9908, kappa: 0.9208, kb_relative_information_score: 12758.4506, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9909, predictive_accuracy: 0.9908, prior_entropy: 0.3338, recall: 0.9908, relative_absolute_error: 0.0793, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0958, root_relative_squared_error: 0.3984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9087, kb_relative_information_score: 3469.2307, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2481, root_relative_squared_error: 1.0323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9942, kappa: 0.9502, kb_relative_information_score: 13337.7466, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9943, predictive_accuracy: 0.9942, prior_entropy: 0.3338, recall: 0.9942, relative_absolute_error: 0.0515, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.073, root_relative_squared_error: 0.3038, scimark_benchmark: 1586.7278, usercpu_time_millis: 249250, usercpu_time_millis_testing: 375, usercpu_time_millis_training: 248875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.9857, kappa: 0.8755, kb_relative_information_score: 11846.7765, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9856, predictive_accuracy: 0.9857, prior_entropy: 0.3338, recall: 0.9857, relative_absolute_error: 0.1238, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.4978, scimark_benchmark: 1280.301, usercpu_time_millis: 26531.25, usercpu_time_millis_testing: 1140.625, usercpu_time_millis_training: 25390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9943, kappa: 0.9514, kb_relative_information_score: 13374.4466, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9944, predictive_accuracy: 0.9943, prior_entropy: 0.3338, recall: 0.9943, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.314, scimark_benchmark: 1280.301, usercpu_time_millis: 583781.25, usercpu_time_millis_testing: 890.625, usercpu_time_millis_training: 582890.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9087, kb_relative_information_score: 3469.2307, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2481, root_relative_squared_error: 1.0323, scimark_benchmark: 1461.2356, usercpu_time_millis: 17484.375, usercpu_time_millis_testing: 3093.75, usercpu_time_millis_training: 14390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9952, kappa: 0.9587, kb_relative_information_score: 13361.4761, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9953, predictive_accuracy: 0.9951, prior_entropy: 0.3338, recall: 0.9951, relative_absolute_error: 0.0638, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0688, root_relative_squared_error: 0.2861, scimark_benchmark: 1639.2569, usercpu_time_millis: 207310, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 207020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9087, kb_relative_information_score: 3469.2307, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2481, root_relative_squared_error: 1.0323, scimark_benchmark: 1654.3037, usercpu_time_millis: 9940, usercpu_time_millis_testing: 3030, usercpu_time_millis_training: 6910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9087, kb_relative_information_score: 3469.2307, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2481, root_relative_squared_error: 1.0323, scimark_benchmark: 1662.9972, usercpu_time_millis: 493690, usercpu_time_millis_testing: 100690, usercpu_time_millis_training: 393000,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9943, kappa: 0.9514, kb_relative_information_score: 13374.4466, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9944, predictive_accuracy: 0.9943, prior_entropy: 0.3338, recall: 0.9943, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.314, scimark_benchmark: 1688.1298, usercpu_time_millis: 878710, usercpu_time_millis_testing: 960, usercpu_time_millis_training: 877750,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9883, kappa: 0.8986, kb_relative_information_score: 11615.0058, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.3338, recall: 0.9883, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1017, root_relative_squared_error: 0.4233, scimark_benchmark: 1788.6668, usercpu_time_millis: 4625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 4609.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9893, kappa: 0.9067, kb_relative_information_score: 11663.5384, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9892, predictive_accuracy: 0.9893, prior_entropy: 0.3338, recall: 0.9893, relative_absolute_error: 0.1399, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.3753, scimark_benchmark: 1788.6668, usercpu_time_millis: 1656.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1640.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9886, kappa: 0.9011, kb_relative_information_score: 12376.5331, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9886, predictive_accuracy: 0.9887, prior_entropy: 0.3338, recall: 0.9887, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.4428, scimark_benchmark: 1788.6668, usercpu_time_millis: 1593.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9949, kappa: 0.9559, kb_relative_information_score: 13460.6861, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.995, predictive_accuracy: 0.9948, prior_entropy: 0.3338, recall: 0.9948, relative_absolute_error: 0.0451, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0722, root_relative_squared_error: 0.3003, scimark_benchmark: 1351.1061, usercpu_time_millis: 750, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9919, kappa: 0.9311, kb_relative_information_score: 12668.6468, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9922, predictive_accuracy: 0.9918, prior_entropy: 0.3338, recall: 0.9918, relative_absolute_error: 0.1053, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.3586, scimark_benchmark: 926.3924, usercpu_time_millis: 14400, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 14380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.991, kappa: 0.9209, kb_relative_information_score: 12083.2675, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.991, predictive_accuracy: 0.9911, prior_entropy: 0.3338, recall: 0.9911, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.3447, scimark_benchmark: 1447.2612, usercpu_time_millis: 10421.875, usercpu_time_millis_testing: 9109.375, usercpu_time_millis_training: 1312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9878, kappa: 0.8917, kb_relative_information_score: 12322.2397, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9879, predictive_accuracy: 0.9881, prior_entropy: 0.3338, recall: 0.9881, relative_absolute_error: 0.1016, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.3889, scimark_benchmark: 1840.6094, usercpu_time_millis: 9375, usercpu_time_millis_testing: 7718.75, usercpu_time_millis_training: 1656.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9892, kappa: 0.9059, kb_relative_information_score: 12721.1328, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9892, predictive_accuracy: 0.9894, prior_entropy: 0.3338, recall: 0.9894, relative_absolute_error: 0.0851, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.3545, scimark_benchmark: 1840.6094, usercpu_time_millis: 49703.125, usercpu_time_millis_testing: 49703.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9928, kappa: 0.9383, kb_relative_information_score: 11598.9514, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9929, predictive_accuracy: 0.9927, prior_entropy: 0.3338, recall: 0.9927, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.3354, scimark_benchmark: 1873.1108, usercpu_time_millis: 96937.5, usercpu_time_millis_testing: 96921.875, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9902, kappa: 0.9144, kb_relative_information_score: 12172.35, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9901, predictive_accuracy: 0.9902, prior_entropy: 0.3338, recall: 0.9902, relative_absolute_error: 0.1052, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.3516, scimark_benchmark: 1873.1108, usercpu_time_millis: 7937.5, usercpu_time_millis_testing: 6859.375, usercpu_time_millis_training: 1078.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9928, kappa: 0.9386, kb_relative_information_score: 12192.9176, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.993, predictive_accuracy: 0.9927, prior_entropy: 0.3338, recall: 0.9927, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.3258, scimark_benchmark: 1873.1108, usercpu_time_millis: 82625, usercpu_time_millis_testing: 82625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5431, f_measure: 0.9206, kappa: 0.1492, kb_relative_information_score: 4306.9853, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9405, predictive_accuracy: 0.9432, prior_entropy: 0.3338, recall: 0.9432, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.9919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.9889, kappa: 0.9036, kb_relative_information_score: 12438.1327, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9889, predictive_accuracy: 0.989, prior_entropy: 0.3338, recall: 0.989, relative_absolute_error: 0.095, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.4359, scimark_benchmark: 1870.7932, usercpu_time_millis: 1404.009, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 1388.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9947, kappa: 0.9543, kb_relative_information_score: 13436.0462, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.3338, recall: 0.9947, relative_absolute_error: 0.0463, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.3043, scimark_benchmark: 1870.7932, usercpu_time_millis: 2433.6156, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 2418.0155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9885, kappa: 0.8999, kb_relative_information_score: 11566.8119, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9885, predictive_accuracy: 0.9886, prior_entropy: 0.3338, recall: 0.9886, relative_absolute_error: 0.139, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.4011, scimark_benchmark: 1870.7932, usercpu_time_millis: 1060.8068, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 1045.2067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9906, kappa: 0.9192, kb_relative_information_score: 12364.374, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.3338, recall: 0.9906, relative_absolute_error: 0.1199, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.3769, scimark_benchmark: 1870.7932, usercpu_time_millis: 530.4034, usercpu_time_millis_training: 530.4034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9877, kappa: 0.8923, kb_relative_information_score: 11949.8467, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9876, predictive_accuracy: 0.9878, prior_entropy: 0.3338, recall: 0.9878, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.4489, scimark_benchmark: 1870.7932, usercpu_time_millis: 1107.6071, usercpu_time_millis_testing: 78.0005, usercpu_time_millis_training: 1029.6066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9833, kappa: 0.8613, kb_relative_information_score: 9947.7562, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9848, predictive_accuracy: 0.9826, prior_entropy: 0.3338, recall: 0.9826, relative_absolute_error: 0.2097, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.5479, scimark_benchmark: 1870.7932, usercpu_time_millis: 920.4059, usercpu_time_millis_testing: 140.4009, usercpu_time_millis_training: 780.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9731, kappa: 0.7891, kb_relative_information_score: 8289.5543, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9792, predictive_accuracy: 0.9706, prior_entropy: 0.3338, recall: 0.9706, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.6435, scimark_benchmark: 1732.2066, usercpu_time_millis: 1544.4099, usercpu_time_millis_testing: 62.4004, usercpu_time_millis_training: 1482.0095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.977, kappa: 0.8177, kb_relative_information_score: 9574.2164, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9818, predictive_accuracy: 0.9752, prior_entropy: 0.3338, recall: 0.9752, relative_absolute_error: 0.218, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.6216, scimark_benchmark: 1732.2066, usercpu_time_millis: 1076.4069, usercpu_time_millis_testing: 858.0055, usercpu_time_millis_training: 218.4014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9916, kappa: 0.9286, kb_relative_information_score: 12881.6498, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9919, predictive_accuracy: 0.9915, prior_entropy: 0.3338, recall: 0.9915, relative_absolute_error: 0.0733, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.3831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.993, kappa: 0.9405, kb_relative_information_score: 13128.0482, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9933, predictive_accuracy: 0.9929, prior_entropy: 0.3338, recall: 0.9929, relative_absolute_error: 0.0613, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.3502,

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