Task
Supervised Classification on AP_Omentum_Prostate

Supervised Classification on AP_Omentum_Prostate

Task 3959 Supervised Classification AP_Omentum_Prostate 64 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9794, kappa: 0.9587, kb_relative_information_score: 136.8761, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9795, predictive_accuracy: 0.9795, prior_entropy: 0.9979, recall: 0.9795, relative_absolute_error: 0.0659, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9863, kappa: 0.9725, kb_relative_information_score: 141.9746, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9866, predictive_accuracy: 0.9863, prior_entropy: 0.9979, recall: 0.9863, relative_absolute_error: 0.0275, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.117, root_relative_squared_error: 0.2344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.952, kappa: 0.9037, kb_relative_information_score: 129.9122, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9521, predictive_accuracy: 0.9521, prior_entropy: 0.9979, recall: 0.9521, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.4323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9656, kappa: 0.931, kb_relative_information_score: 130.5435, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9678, predictive_accuracy: 0.9658, prior_entropy: 0.9979, recall: 0.9658, relative_absolute_error: 0.1162, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9726, kappa: 0.945, kb_relative_information_score: 137.9577, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9726, predictive_accuracy: 0.9726, prior_entropy: 0.9979, recall: 0.9726, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9726, kappa: 0.945, kb_relative_information_score: 124.0254, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9726, predictive_accuracy: 0.9726, prior_entropy: 0.9979, recall: 0.9726, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9589, kappa: 0.9176, kb_relative_information_score: 133.9425, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9589, predictive_accuracy: 0.9589, prior_entropy: 0.9979, recall: 0.9589, relative_absolute_error: 0.0824, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.4055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4812, f_measure: 0.3642, kb_relative_information_score: -0.081, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.2781, predictive_accuracy: 0.5274, prior_entropy: 0.9979, recall: 0.5274, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9863, kappa: 0.9725, kb_relative_information_score: 131.5361, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9866, predictive_accuracy: 0.9863, prior_entropy: 0.9979, recall: 0.9863, relative_absolute_error: 0.1168, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.2541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.9521, kappa: 0.9039, kb_relative_information_score: 131.9323, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9522, predictive_accuracy: 0.9521, prior_entropy: 0.9979, recall: 0.9521, relative_absolute_error: 0.0962, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.219, root_relative_squared_error: 0.4386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9726, kappa: 0.945, kb_relative_information_score: 137.9577, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9726, predictive_accuracy: 0.9726, prior_entropy: 0.9979, recall: 0.9726, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3315, scimark_benchmark: 1165.6489, usercpu_time_millis: 2830, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9863, kappa: 0.9725, kb_relative_information_score: 141.9746, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9863, predictive_accuracy: 0.9863, prior_entropy: 0.9979, recall: 0.9863, relative_absolute_error: 0.0275, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.117, root_relative_squared_error: 0.2344, scimark_benchmark: 1380.1977, usercpu_time_millis: 1780, usercpu_time_millis_testing: 990, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9726, kappa: 0.945, kb_relative_information_score: 137.9577, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9726, predictive_accuracy: 0.9726, prior_entropy: 0.9979, recall: 0.9726, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3315, scimark_benchmark: 1284.7929, usercpu_time_millis: 960, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9726, kappa: 0.945, kb_relative_information_score: 137.9577, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9726, predictive_accuracy: 0.9726, prior_entropy: 0.9979, recall: 0.9726, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3315, scimark_benchmark: 1272.9133, usercpu_time_millis: 3150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.3642, kb_relative_information_score: 1.5663, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.2781, predictive_accuracy: 0.5274, prior_entropy: 0.9979, recall: 0.5274, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0126, scimark_benchmark: 1069.578, usercpu_time_millis: 214030, usercpu_time_millis_testing: 52200, usercpu_time_millis_training: 161830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9657, kappa: 0.9312, kb_relative_information_score: 135.9616, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9658, predictive_accuracy: 0.9658, prior_entropy: 0.9979, recall: 0.9658, relative_absolute_error: 0.0686, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.3649, scimark_benchmark: 1254.5058, usercpu_time_millis: 47970, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 47930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9658, kappa: 0.9315, kb_relative_information_score: 134.4695, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9666, predictive_accuracy: 0.9658, prior_entropy: 0.9979, recall: 0.9658, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.3682, scimark_benchmark: 1259.8221, usercpu_time_millis: 1860, usercpu_time_millis_testing: 1280, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9794, kappa: 0.9587, kb_relative_information_score: 139.9662, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9795, predictive_accuracy: 0.9795, prior_entropy: 0.9979, recall: 0.9795, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.2871, scimark_benchmark: 1294.7229, usercpu_time_millis: 56930, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 56920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9589, kappa: 0.9174, kb_relative_information_score: 133.194, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9592, predictive_accuracy: 0.9589, prior_entropy: 0.9979, recall: 0.9589, relative_absolute_error: 0.0895, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.4044, scimark_benchmark: 1022.6852, usercpu_time_millis: 2320, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.9452, kappa: 0.8901, kb_relative_information_score: 128.2883, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9452, predictive_accuracy: 0.9452, prior_entropy: 0.9979, recall: 0.9452, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.467, scimark_benchmark: 908.7053, usercpu_time_millis: 1580, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9863, kappa: 0.9725, kb_relative_information_score: 125.9643, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9866, predictive_accuracy: 0.9863, prior_entropy: 0.9979, recall: 0.9863, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.2873, scimark_benchmark: 1110.4691, usercpu_time_millis: 1860, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9726, kappa: 0.9451, kb_relative_information_score: 137.9577, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.973, predictive_accuracy: 0.9726, prior_entropy: 0.9979, recall: 0.9726, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3315, scimark_benchmark: 1229.6351, usercpu_time_millis: 4150, usercpu_time_millis_testing: 880, usercpu_time_millis_training: 3270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.9384, kappa: 0.8764, kb_relative_information_score: 126.754, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9385, predictive_accuracy: 0.9384, prior_entropy: 0.9979, recall: 0.9384, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.4961, scimark_benchmark: 869.0508, usercpu_time_millis: 1190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9863, kappa: 0.9725, kb_relative_information_score: 141.9746, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9863, predictive_accuracy: 0.9863, prior_entropy: 0.9979, recall: 0.9863, relative_absolute_error: 0.0275, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.117, root_relative_squared_error: 0.2344, scimark_benchmark: 1250.6145, usercpu_time_millis: 2200, usercpu_time_millis_testing: 1240, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9726, kappa: 0.945, kb_relative_information_score: 137.9577, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9726, predictive_accuracy: 0.9726, prior_entropy: 0.9979, recall: 0.9726, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3315, scimark_benchmark: 1305.8572, usercpu_time_millis: 820, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.3642, kb_relative_information_score: 2.0125, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.2781, predictive_accuracy: 0.5274, prior_entropy: 0.9979, recall: 0.5274, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.0207, scimark_benchmark: 1092.0179, usercpu_time_millis: 193840, usercpu_time_millis_testing: 45550, usercpu_time_millis_training: 148290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9657, kappa: 0.9312, kb_relative_information_score: 135.9616, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9658, predictive_accuracy: 0.9658, prior_entropy: 0.9979, recall: 0.9658, relative_absolute_error: 0.0686, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.3649, scimark_benchmark: 1018.744, usercpu_time_millis: 79840, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 79780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9658, kappa: 0.9315, kb_relative_information_score: 134.4695, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9666, predictive_accuracy: 0.9658, prior_entropy: 0.9979, recall: 0.9658, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.3682, scimark_benchmark: 696.8448, usercpu_time_millis: 2860, usercpu_time_millis_testing: 1870, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9794, kappa: 0.9587, kb_relative_information_score: 139.9662, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9795, predictive_accuracy: 0.9795, prior_entropy: 0.9979, recall: 0.9795, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.2871, scimark_benchmark: 1300.176, usercpu_time_millis: 55140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 55130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.952, kappa: 0.9037, kb_relative_information_score: 131.0625, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9521, predictive_accuracy: 0.9521, prior_entropy: 0.9979, recall: 0.9521, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4371, scimark_benchmark: 570.4831, usercpu_time_millis: 2110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.9452, kappa: 0.8901, kb_relative_information_score: 128.1451, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9452, predictive_accuracy: 0.9452, prior_entropy: 0.9979, recall: 0.9452, relative_absolute_error: 0.1266, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.4671, scimark_benchmark: 544.801, usercpu_time_millis: 1050, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9863, kappa: 0.9725, kb_relative_information_score: 125.2223, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9866, predictive_accuracy: 0.9863, prior_entropy: 0.9979, recall: 0.9863, relative_absolute_error: 0.1713, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.2869, scimark_benchmark: 632.0522, usercpu_time_millis: 1680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9726, kappa: 0.9451, kb_relative_information_score: 137.9577, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.973, predictive_accuracy: 0.9726, prior_entropy: 0.9979, recall: 0.9726, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3315, scimark_benchmark: 1018.1447, usercpu_time_millis: 3610, usercpu_time_millis_testing: 950, usercpu_time_millis_training: 2660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.9384, kappa: 0.8764, kb_relative_information_score: 126.754, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9385, predictive_accuracy: 0.9384, prior_entropy: 0.9979, recall: 0.9384, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.4961, scimark_benchmark: 1031.8064, usercpu_time_millis: 1380, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9726, kappa: 0.945, kb_relative_information_score: 137.9577, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9729, predictive_accuracy: 0.9726, prior_entropy: 0.9979, recall: 0.9726, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3315, scimark_benchmark: 1436.8402, usercpu_time_millis: 40620, usercpu_time_millis_training: 40620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.952, kappa: 0.9037, kb_relative_information_score: 130.9234, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9521, predictive_accuracy: 0.9521, prior_entropy: 0.9979, recall: 0.9521, relative_absolute_error: 0.1057, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4371, scimark_benchmark: 1217.8625, usercpu_time_millis: 50920, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9863, kappa: 0.9725, kb_relative_information_score: 139.0727, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9863, predictive_accuracy: 0.9863, prior_entropy: 0.9979, recall: 0.9863, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.2357, scimark_benchmark: 1065.1258, usercpu_time_millis: 52460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 52450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9726, kappa: 0.9451, kb_relative_information_score: 137.9577, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.973, predictive_accuracy: 0.9726, prior_entropy: 0.9979, recall: 0.9726, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3315, scimark_benchmark: 1392.7084, usercpu_time_millis: 44550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 44540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9863, kappa: 0.9725, kb_relative_information_score: 141.9746, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9863, predictive_accuracy: 0.9863, prior_entropy: 0.9979, recall: 0.9863, relative_absolute_error: 0.0275, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.117, root_relative_squared_error: 0.2344, scimark_benchmark: 1384.9152, usercpu_time_millis: 44680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 44670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9794, kappa: 0.9587, kb_relative_information_score: 139.9662, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9795, predictive_accuracy: 0.9795, prior_entropy: 0.9979, recall: 0.9795, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.2871, scimark_benchmark: 711.3138, usercpu_time_millis: 65700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 65690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5113, f_measure: 0.3642, kb_relative_information_score: 1.64, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.2781, predictive_accuracy: 0.5274, prior_entropy: 0.9979, recall: 0.5274, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5052, root_relative_squared_error: 1.0118, scimark_benchmark: 1386.4334, usercpu_time_millis: 88270, usercpu_time_millis_testing: 18980, usercpu_time_millis_training: 69290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9863, kappa: 0.9725, kb_relative_information_score: 141.1978, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9863, predictive_accuracy: 0.9863, prior_entropy: 0.9979, recall: 0.9863, relative_absolute_error: 0.0348, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1167, root_relative_squared_error: 0.2337, scimark_benchmark: 1353.67, usercpu_time_millis: 47000, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 46970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9726, kappa: 0.9451, kb_relative_information_score: 135.201, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.973, predictive_accuracy: 0.9726, prior_entropy: 0.9979, recall: 0.9726, relative_absolute_error: 0.0758, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3506, scimark_benchmark: 889.526, usercpu_time_millis: 4580, usercpu_time_millis_testing: 4580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9863, kappa: 0.9725, kb_relative_information_score: 139.7163, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9863, predictive_accuracy: 0.9863, prior_entropy: 0.9979, recall: 0.9863, relative_absolute_error: 0.0454, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.2211, scimark_benchmark: 939.2517, usercpu_time_millis: 81370, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 81300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9863, kappa: 0.9725, kb_relative_information_score: 140.1887, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9863, predictive_accuracy: 0.9863, prior_entropy: 0.9979, recall: 0.9863, relative_absolute_error: 0.0414, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.2342, scimark_benchmark: 1396.7824, usercpu_time_millis: 47820, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 47780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9795, kappa: 0.9588, kb_relative_information_score: 139.9662, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9796, predictive_accuracy: 0.9795, prior_entropy: 0.9979, recall: 0.9795, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.2871, scimark_benchmark: 1428.1302, usercpu_time_millis: 42880, usercpu_time_millis_training: 42880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.9452, kappa: 0.8901, kb_relative_information_score: 127.7518, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9452, predictive_accuracy: 0.9452, prior_entropy: 0.9979, recall: 0.9452, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4654, scimark_benchmark: 1365.9518, usercpu_time_millis: 37930, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 37920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9932, kappa: 0.9863, kb_relative_information_score: 143.9831, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 0.9979, recall: 0.9932, relative_absolute_error: 0.0137, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.1658, scimark_benchmark: 1305.5136, usercpu_time_millis: 52580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 52560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9794, kappa: 0.9587, kb_relative_information_score: 130.2492, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9802, predictive_accuracy: 0.9795, prior_entropy: 0.9979, recall: 0.9795, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.2846, scimark_benchmark: 1323.9906, usercpu_time_millis: 45980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 45970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9932, kappa: 0.9863, kb_relative_information_score: 143.9831, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 0.9979, recall: 0.9932, relative_absolute_error: 0.0137, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.1658, scimark_benchmark: 1163.0835, usercpu_time_millis: 53410, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 53390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9863, kappa: 0.9725, kb_relative_information_score: 140.4296, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9863, predictive_accuracy: 0.9863, prior_entropy: 0.9979, recall: 0.9863, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.2332, scimark_benchmark: 1384.9779, usercpu_time_millis: 45450, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 45430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9521, kappa: 0.9039, kb_relative_information_score: 131.4645, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9522, predictive_accuracy: 0.9521, prior_entropy: 0.9979, recall: 0.9521, relative_absolute_error: 0.1017, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3512, scimark_benchmark: 1082.6914, usercpu_time_millis: 5620, usercpu_time_millis_testing: 5620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9589, kappa: 0.9177, kb_relative_information_score: 133.0024, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9593, predictive_accuracy: 0.9589, prior_entropy: 0.9979, recall: 0.9589, relative_absolute_error: 0.0907, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.3628, scimark_benchmark: 1246.753, usercpu_time_millis: 2850, usercpu_time_millis_testing: 2850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9726, kappa: 0.945, kb_relative_information_score: 137.9577, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9726, predictive_accuracy: 0.9726, prior_entropy: 0.9979, recall: 0.9726, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3315, scimark_benchmark: 1303.9014, usercpu_time_millis: 230, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.9384, kappa: 0.8764, kb_relative_information_score: 126.754, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9385, predictive_accuracy: 0.9384, prior_entropy: 0.9979, recall: 0.9384, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.4961, scimark_benchmark: 1527.5619, usercpu_time_millis: 40160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9657, kappa: 0.9312, kb_relative_information_score: 135.9616, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9658, predictive_accuracy: 0.9658, prior_entropy: 0.9979, recall: 0.9658, relative_absolute_error: 0.0686, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.3649, scimark_benchmark: 1471.5138, usercpu_time_millis: 48800, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 48750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9726, kappa: 0.945, kb_relative_information_score: 137.9577, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9726, predictive_accuracy: 0.9726, prior_entropy: 0.9979, recall: 0.9726, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3315, scimark_benchmark: 973.1725, usercpu_time_millis: 2820, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9794, kappa: 0.9587, kb_relative_information_score: 139.9662, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9802, predictive_accuracy: 0.9795, prior_entropy: 0.9979, recall: 0.9795, relative_absolute_error: 0.0412, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.2871, scimark_benchmark: 920.3754, usercpu_time_millis: 2020, usercpu_time_millis_testing: 1340, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9725, kappa: 0.9449, kb_relative_information_score: 136.7607, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.974, predictive_accuracy: 0.9726, prior_entropy: 0.9979, recall: 0.9726, relative_absolute_error: 0.0662, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.331, scimark_benchmark: 825.704, usercpu_time_millis: 1720, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9863, kappa: 0.9725, kb_relative_information_score: 141.9746, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9866, predictive_accuracy: 0.9863, prior_entropy: 0.9979, recall: 0.9863, relative_absolute_error: 0.0275, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.117, root_relative_squared_error: 0.2344, scimark_benchmark: 934.8534, usercpu_time_millis: 2740, usercpu_time_millis_testing: 880, usercpu_time_millis_training: 1860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9794, kappa: 0.9587, kb_relative_information_score: 123.1935, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9802, predictive_accuracy: 0.9795, prior_entropy: 0.9979, recall: 0.9795, relative_absolute_error: 0.1888, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.2969, scimark_benchmark: 947.551, usercpu_time_millis: 1190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.952, kappa: 0.9037, kb_relative_information_score: 128.4948, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9521, predictive_accuracy: 0.9521, prior_entropy: 0.9979, recall: 0.9521, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4359, scimark_benchmark: 1065.3926, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9658, kappa: 0.9315, kb_relative_information_score: 134.4695, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9666, predictive_accuracy: 0.9658, prior_entropy: 0.9979, recall: 0.9658, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.3682, scimark_benchmark: 1128.649, usercpu_time_millis: 1500, usercpu_time_millis_testing: 1500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.9384, kappa: 0.8764, kb_relative_information_score: 126.754, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4985, number_of_instances: 146, precision: 0.9385, predictive_accuracy: 0.9384, prior_entropy: 0.9979, recall: 0.9384, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.4961, scimark_benchmark: 1377.0386, usercpu_time_millis: 480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 470,

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