Task
Supervised Classification on lymphoma_2classes

Supervised Classification on lymphoma_2classes

Task 3938 Supervised Classification lymphoma_2classes 311 runs submitted
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  • mythbusting_1 study_1 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.7756, kappa: 0.5536, kb_relative_information_score: 24.9856, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.786, predictive_accuracy: 0.7778, prior_entropy: 0.9997, recall: 0.7778, relative_absolute_error: 0.4447, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.844, kappa: 0.6897, kb_relative_information_score: 27.7494, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.8511, predictive_accuracy: 0.8444, prior_entropy: 0.9997, recall: 0.8444, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9778, kappa: 0.9555, kb_relative_information_score: 34.4916, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9787, predictive_accuracy: 0.9778, prior_entropy: 0.9997, recall: 0.9778, relative_absolute_error: 0.2701, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9778, kappa: 0.9556, kb_relative_information_score: 42.9974, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9787, predictive_accuracy: 0.9778, prior_entropy: 0.9997, recall: 0.9778, relative_absolute_error: 0.0445, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.2982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 41.6025, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9997, recall: 1, relative_absolute_error: 0.0923, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.1991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.8889, kappa: 0.7779, kb_relative_information_score: 34.9922, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.8898, predictive_accuracy: 0.8889, prior_entropy: 0.9997, recall: 0.8889, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 39.008, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9341, predictive_accuracy: 0.9333, prior_entropy: 0.9997, recall: 0.9333, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9329, kappa: 0.8662, kb_relative_information_score: 37.696, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.941, predictive_accuracy: 0.9333, prior_entropy: 0.9997, recall: 0.9333, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.4863, scimark_benchmark: 1586.7278, usercpu_time_millis: 51171.875, usercpu_time_millis_testing: 1546.875, usercpu_time_millis_training: 49625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4407, f_measure: 0.4286, kappa: -0.1194, kb_relative_information_score: -5.034, mean_absolute_error: 0.5556, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.4341, predictive_accuracy: 0.4444, prior_entropy: 0.9997, recall: 0.4444, relative_absolute_error: 1.1116, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7454, root_relative_squared_error: 1.4911, scimark_benchmark: 1922.3298, usercpu_time_millis: 562.5, usercpu_time_millis_testing: 281.25, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9778, kappa: 0.9555, kb_relative_information_score: 42.9974, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9787, predictive_accuracy: 0.9778, prior_entropy: 0.9997, recall: 0.9778, relative_absolute_error: 0.0445, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.2982, scimark_benchmark: 1922.3298, usercpu_time_millis: 546.875, usercpu_time_millis_testing: 265.625, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.9333, kappa: 0.8667, kb_relative_information_score: 38.9948, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9343, predictive_accuracy: 0.9333, prior_entropy: 0.9997, recall: 0.9333, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5165, scimark_benchmark: 1922.3298, usercpu_time_millis: 531.25, usercpu_time_millis_testing: 265.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9556, kappa: 0.9111, kb_relative_information_score: 40.9961, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9556, predictive_accuracy: 0.9556, prior_entropy: 0.9997, recall: 0.9556, relative_absolute_error: 0.0889, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4217, scimark_benchmark: 1280.301, usercpu_time_millis: 625, usercpu_time_millis_testing: 312.5, usercpu_time_millis_training: 312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 43.533, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9997, recall: 1, relative_absolute_error: 0.0411, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0567, root_relative_squared_error: 0.1134, scimark_benchmark: 1390.0631, usercpu_time_millis: 49540, usercpu_time_millis_testing: 870, usercpu_time_millis_training: 48670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9556, kappa: 0.9111, kb_relative_information_score: 40.9961, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9556, predictive_accuracy: 0.9556, prior_entropy: 0.9997, recall: 0.9556, relative_absolute_error: 0.0889, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4217, scimark_benchmark: 1367.101, usercpu_time_millis: 740, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.9333, kappa: 0.8667, kb_relative_information_score: 38.9948, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9343, predictive_accuracy: 0.9333, prior_entropy: 0.9997, recall: 0.9333, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5165, scimark_benchmark: 1352.7797, usercpu_time_millis: 1170, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4407, f_measure: 0.4286, kappa: -0.1194, kb_relative_information_score: -5.034, mean_absolute_error: 0.5556, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.4341, predictive_accuracy: 0.4444, prior_entropy: 0.9997, recall: 0.4444, relative_absolute_error: 1.1116, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7454, root_relative_squared_error: 1.4911, scimark_benchmark: 1647.2744, usercpu_time_millis: 810, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9778, kappa: 0.9555, kb_relative_information_score: 42.9974, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9787, predictive_accuracy: 0.9778, prior_entropy: 0.9997, recall: 0.9778, relative_absolute_error: 0.0445, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.2982, scimark_benchmark: 1368.9755, usercpu_time_millis: 910, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.8888, kappa: 0.7774, kb_relative_information_score: 35.5479, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.8896, predictive_accuracy: 0.8889, prior_entropy: 0.9997, recall: 0.8889, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.5707, scimark_benchmark: 1665.974, usercpu_time_millis: 7484.375, usercpu_time_millis_testing: 1437.5, usercpu_time_millis_training: 6046.875,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.822, kappa: 0.645, kb_relative_information_score: 28.9882, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.8251, predictive_accuracy: 0.8222, prior_entropy: 0.9997, recall: 0.8222, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8435, scimark_benchmark: 1100.9205, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 39.008, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9341, predictive_accuracy: 0.9333, prior_entropy: 0.9997, recall: 0.9333, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.515, scimark_benchmark: 1339.0967, usercpu_time_millis: 210, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 44.9987, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9997, recall: 1, root_mean_prior_squared_error: 0.4999, scimark_benchmark: 1108.8423, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.822, kappa: 0.645, kb_relative_information_score: 28.9882, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.8251, predictive_accuracy: 0.8222, prior_entropy: 0.9997, recall: 0.8222, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8435, scimark_benchmark: 1303.4841, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.8889, kappa: 0.7779, kb_relative_information_score: 36.0442, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.8898, predictive_accuracy: 0.8889, prior_entropy: 0.9997, recall: 0.8889, relative_absolute_error: 0.2056, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.496, scimark_benchmark: 1331.8828, usercpu_time_millis: 7630, usercpu_time_millis_testing: 1110, usercpu_time_millis_training: 6520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9333, kappa: 0.8667, kb_relative_information_score: 38.9952, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9343, predictive_accuracy: 0.9333, prior_entropy: 0.9997, recall: 0.9333, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5165, scimark_benchmark: 1222.3529, usercpu_time_millis: 570, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.7005, kappa: 0.427, kb_relative_information_score: 18.3291, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.7535, predictive_accuracy: 0.7111, prior_entropy: 0.9997, recall: 0.7111, relative_absolute_error: 0.5979, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5252, root_relative_squared_error: 1.0506, scimark_benchmark: 1335.2171, usercpu_time_millis: 180, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 44.833, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9997, recall: 1, relative_absolute_error: 0.0048, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0162, root_relative_squared_error: 0.0323, scimark_benchmark: 1274.093, usercpu_time_millis: 6670, usercpu_time_millis_training: 6670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7765, kappa: 0.5571, kb_relative_information_score: 21.963, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.7877, predictive_accuracy: 0.7778, prior_entropy: 0.9997, recall: 0.7778, relative_absolute_error: 0.5324, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.8935, scimark_benchmark: 778.7296, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, f_measure: 0.6657, kappa: 0.335, kb_relative_information_score: 13.8956, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.6707, predictive_accuracy: 0.6667, prior_entropy: 0.9997, recall: 0.6667, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5047, root_relative_squared_error: 1.0096, scimark_benchmark: 1063.606, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9108, kappa: 0.8218, kb_relative_information_score: 14.5793, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9142, predictive_accuracy: 0.9111, prior_entropy: 0.9997, recall: 0.9111, relative_absolute_error: 0.7324, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7606, scimark_benchmark: 1174.237, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 39.0497, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9341, predictive_accuracy: 0.9333, prior_entropy: 0.9997, recall: 0.9333, relative_absolute_error: 0.1317, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5102, scimark_benchmark: 1238.2295, usercpu_time_millis: 440, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.7504, kappa: 0.5142, kb_relative_information_score: 22.2116, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.7844, predictive_accuracy: 0.7556, prior_entropy: 0.9997, recall: 0.7556, relative_absolute_error: 0.5123, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.9733, scimark_benchmark: 1167.9936, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 39.008, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9341, predictive_accuracy: 0.9333, prior_entropy: 0.9997, recall: 0.9333, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.515, scimark_benchmark: 1299.7657, usercpu_time_millis: 260, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 44.9987, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9997, recall: 1, root_mean_prior_squared_error: 0.4999, scimark_benchmark: 1050.8236, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9556, kappa: 0.9111, kb_relative_information_score: 40.2161, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9556, predictive_accuracy: 0.9556, prior_entropy: 0.9997, recall: 0.9556, relative_absolute_error: 0.1193, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.2887, scimark_benchmark: 1077.686, usercpu_time_millis: 6650, usercpu_time_millis_testing: 910, usercpu_time_millis_training: 5740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9333, kappa: 0.8667, kb_relative_information_score: 38.9952, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9343, predictive_accuracy: 0.9333, prior_entropy: 0.9997, recall: 0.9333, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5165, scimark_benchmark: 876.9264, usercpu_time_millis: 1060, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.7005, kappa: 0.427, kb_relative_information_score: 18.3291, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.7535, predictive_accuracy: 0.7111, prior_entropy: 0.9997, recall: 0.7111, relative_absolute_error: 0.5979, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5252, root_relative_squared_error: 1.0506, scimark_benchmark: 1034.3471, usercpu_time_millis: 150, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, f_measure: 0.7765, kappa: 0.5571, kb_relative_information_score: 22.341, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.7877, predictive_accuracy: 0.7778, prior_entropy: 0.9997, recall: 0.7778, relative_absolute_error: 0.5222, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4558, root_relative_squared_error: 0.9119, scimark_benchmark: 983.4496, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8444, kappa: 0.689, kb_relative_information_score: 29.9156, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.8453, predictive_accuracy: 0.8444, prior_entropy: 0.9997, recall: 0.8444, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7355, scimark_benchmark: 851.2074, usercpu_time_millis: 1510, usercpu_time_millis_training: 1510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.9333, kappa: 0.8667, kb_relative_information_score: 38.9948, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9343, predictive_accuracy: 0.9333, prior_entropy: 0.9997, recall: 0.9333, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5165, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.9333, kappa: 0.8667, kb_relative_information_score: 38.9948, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9343, predictive_accuracy: 0.9333, prior_entropy: 0.9997, recall: 0.9333, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5165, scimark_benchmark: 916.0735, usercpu_time_millis: 1110, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9554, kappa: 0.9109, kb_relative_information_score: 40.999, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9591, predictive_accuracy: 0.9556, prior_entropy: 0.9997, recall: 0.9556, relative_absolute_error: 0.0888, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4182, scimark_benchmark: 941.6675, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.8443, kappa: 0.6884, kb_relative_information_score: 18.7509, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.845, predictive_accuracy: 0.8444, prior_entropy: 0.9997, recall: 0.8444, relative_absolute_error: 0.627, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7479, scimark_benchmark: 941.6675, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4209, f_measure: 0.4286, kappa: -0.1194, kb_relative_information_score: -0.2987, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.4341, predictive_accuracy: 0.4444, prior_entropy: 0.9997, recall: 0.4444, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0061, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9778, kappa: 0.9555, kb_relative_information_score: 42.0656, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9787, predictive_accuracy: 0.9778, prior_entropy: 0.9997, recall: 0.9778, relative_absolute_error: 0.0657, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3296, scimark_benchmark: 927.2917, usercpu_time_millis: 220, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.9333, kappa: 0.8667, kb_relative_information_score: 38.9948, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9343, predictive_accuracy: 0.9333, prior_entropy: 0.9997, recall: 0.9333, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5165, scimark_benchmark: 932.438, usercpu_time_millis: 900, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9778, kappa: 0.9555, kb_relative_information_score: 42.0656, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9787, predictive_accuracy: 0.9778, prior_entropy: 0.9997, recall: 0.9778, relative_absolute_error: 0.0657, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3296, scimark_benchmark: 938.5498, usercpu_time_millis: 240, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9108, kappa: 0.8218, kb_relative_information_score: 12.5126, mean_absolute_error: 0.3874, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9142, predictive_accuracy: 0.9111, prior_entropy: 0.9997, recall: 0.9111, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.7956, scimark_benchmark: 947.1781, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 26.1956, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9341, predictive_accuracy: 0.9333, prior_entropy: 0.9997, recall: 0.9333, relative_absolute_error: 0.4747, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.5668, scimark_benchmark: 851.2074, usercpu_time_millis: 125180, usercpu_time_millis_testing: 59400, usercpu_time_millis_training: 65780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6393, f_measure: 0.7082, kappa: 0.4248, kb_relative_information_score: 18.131, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.7235, predictive_accuracy: 0.7111, prior_entropy: 0.9997, recall: 0.7111, relative_absolute_error: 0.6036, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5324, root_relative_squared_error: 1.065, scimark_benchmark: 942.2392, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9778, kappa: 0.9555, kb_relative_information_score: 33.5507, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9787, predictive_accuracy: 0.9778, prior_entropy: 0.9997, recall: 0.9778, relative_absolute_error: 0.2923, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.4195, scimark_benchmark: 901.6243, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.9333, kappa: 0.8667, kb_relative_information_score: 38.9948, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9343, predictive_accuracy: 0.9333, prior_entropy: 0.9997, recall: 0.9333, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5165, scimark_benchmark: 730.6551, usercpu_time_millis: 1590, usercpu_time_millis_testing: 770, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.8443, kappa: 0.6884, kb_relative_information_score: 18.7509, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.845, predictive_accuracy: 0.8444, prior_entropy: 0.9997, recall: 0.8444, relative_absolute_error: 0.627, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7479, scimark_benchmark: 930.404, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4209, f_measure: 0.4286, kappa: -0.1194, kb_relative_information_score: -0.2987, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.4341, predictive_accuracy: 0.4444, prior_entropy: 0.9997, recall: 0.4444, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0061, scimark_benchmark: 920.2531, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9778, kappa: 0.9555, kb_relative_information_score: 42.0656, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9787, predictive_accuracy: 0.9778, prior_entropy: 0.9997, recall: 0.9778, relative_absolute_error: 0.0657, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3296, scimark_benchmark: 936.3213, usercpu_time_millis: 230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9108, kappa: 0.8218, kb_relative_information_score: 12.5126, mean_absolute_error: 0.3874, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9142, predictive_accuracy: 0.9111, prior_entropy: 0.9997, recall: 0.9111, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.7956, scimark_benchmark: 936.9595, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9108, kappa: 0.8218, kb_relative_information_score: 26.3932, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9142, predictive_accuracy: 0.9111, prior_entropy: 0.9997, recall: 0.9111, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.5664, scimark_benchmark: 897.0978, usercpu_time_millis: 59570, usercpu_time_millis_testing: 25750, usercpu_time_millis_training: 33820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.8663, kappa: 0.7327, kb_relative_information_score: 26.9024, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.8693, predictive_accuracy: 0.8667, prior_entropy: 0.9997, recall: 0.8667, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6134, scimark_benchmark: 934.929, usercpu_time_millis: 31340, usercpu_time_millis_testing: 13680, usercpu_time_millis_training: 17660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9556, kappa: 0.9111, kb_relative_information_score: 40.9961, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9556, predictive_accuracy: 0.9556, prior_entropy: 0.9997, recall: 0.9556, relative_absolute_error: 0.0889, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4217, scimark_benchmark: 926.5859, usercpu_time_millis: 10030, usercpu_time_millis_training: 10030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9556, kappa: 0.9111, kb_relative_information_score: 40.9936, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9556, predictive_accuracy: 0.9556, prior_entropy: 0.9997, recall: 0.9556, relative_absolute_error: 0.089, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4217, scimark_benchmark: 926.5859, usercpu_time_millis: 4940, usercpu_time_millis_training: 4940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9778, kappa: 0.9556, kb_relative_information_score: 42.4832, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9787, predictive_accuracy: 0.9778, prior_entropy: 0.9997, recall: 0.9778, relative_absolute_error: 0.0588, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.307, scimark_benchmark: 894.7131, usercpu_time_millis: 2490, usercpu_time_millis_training: 2490,

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