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Function: require_once

OpenML
Task
Supervised Classification on heart-h

Supervised Classification on heart-h

Task 50 Supervised Classification heart-h 703 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • basic study_1 study_107 study_41 study_50 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.821, kappa: 0.6084, kb_relative_information_score: 151.0924, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.821, predictive_accuracy: 0.8231, prior_entropy: 1.0314, recall: 0.8231, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.7627, scimark_benchmark: 1363.454, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.8238, kappa: 0.6135, kb_relative_information_score: 8.722, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8245, predictive_accuracy: 0.8265, prior_entropy: 1.0314, recall: 0.8265, relative_absolute_error: 0.9713, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.9508, scimark_benchmark: 1363.434, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.838, kappa: 0.6453, kb_relative_information_score: 10.3317, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8385, predictive_accuracy: 0.8401, prior_entropy: 1.0314, recall: 0.8401, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.9463, scimark_benchmark: 942.2229, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8159, kappa: 0.6, kb_relative_information_score: 148.9652, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8156, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7385, scimark_benchmark: 944.4621, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.6827, kappa: 0.3681, kb_relative_information_score: 78.8095, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7327, predictive_accuracy: 0.6769, prior_entropy: 1.0314, recall: 0.6769, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3595, root_relative_squared_error: 1.1837, scimark_benchmark: 1304.9611, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.832, kappa: 0.6333, kb_relative_information_score: 150.0725, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8317, predictive_accuracy: 0.8333, prior_entropy: 1.0314, recall: 0.8333, relative_absolute_error: 0.4523, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.7554, scimark_benchmark: 1073.494, usercpu_time_millis: 450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7461, f_measure: 0.7415, kappa: 0.4394, kb_relative_information_score: 122.0542, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7415, predictive_accuracy: 0.7415, prior_entropy: 1.0314, recall: 0.7415, relative_absolute_error: 0.5351, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3096, root_relative_squared_error: 1.0193, scimark_benchmark: 1315.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7999, kappa: 0.5613, kb_relative_information_score: 120.0979, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7999, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.8193, scimark_benchmark: 1335.4072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.8167, kappa: 0.6033, kb_relative_information_score: 132.1796, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8171, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.7953, scimark_benchmark: 1066.7184, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7959, kappa: 0.5574, kb_relative_information_score: 150.0743, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7959, predictive_accuracy: 0.7959, prior_entropy: 1.0314, recall: 0.7959, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.9407, scimark_benchmark: 1353.6735, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6069, f_measure: 0.655, kappa: 0.2457, kb_relative_information_score: 90.1362, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.6974, predictive_accuracy: 0.6973, prior_entropy: 1.0314, recall: 0.6973, relative_absolute_error: 0.6485, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.348, root_relative_squared_error: 1.1458, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.8078, kappa: 0.58, kb_relative_information_score: 129.5443, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8073, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.5388, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.237, root_relative_squared_error: 0.7804, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.7981, kappa: 0.5557, kb_relative_information_score: 154.0219, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8001, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.9249, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.8119, kappa: 0.5901, kb_relative_information_score: 160.489, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8114, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.3997, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.8811, scimark_benchmark: 940.3346, usercpu_time_millis: 18110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 18080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.7749, kappa: 0.5034, kb_relative_information_score: 141.6795, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7793, predictive_accuracy: 0.7823, prior_entropy: 1.0314, recall: 0.7823, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9716, scimark_benchmark: 977.6382, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, f_measure: 0.4988, kb_relative_information_score: -0.6413, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3037, root_relative_squared_error: 1.0001, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.7993, kappa: 0.5595, kb_relative_information_score: 111.7688, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7998, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.84, scimark_benchmark: 977.6382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8396, kappa: 0.6511, kb_relative_information_score: 171.0557, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8393, predictive_accuracy: 0.8401, prior_entropy: 1.0314, recall: 0.8401, relative_absolute_error: 0.3682, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.7866, scimark_benchmark: 942.6953, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8464, kappa: 0.666, kb_relative_information_score: 141.4158, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8461, predictive_accuracy: 0.8469, prior_entropy: 1.0314, recall: 0.8469, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.743, scimark_benchmark: 945.6434, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8464, kappa: 0.666, kb_relative_information_score: 141.4158, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8461, predictive_accuracy: 0.8469, prior_entropy: 1.0314, recall: 0.8469, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.743, scimark_benchmark: 911.0478, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8464, kappa: 0.666, kb_relative_information_score: 141.4158, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8461, predictive_accuracy: 0.8469, prior_entropy: 1.0314, recall: 0.8469, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.743, scimark_benchmark: 939.7623, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.8302, kappa: 0.627, kb_relative_information_score: 166.8497, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8318, predictive_accuracy: 0.8333, prior_entropy: 1.0314, recall: 0.8333, relative_absolute_error: 0.3802, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.823, scimark_benchmark: 942.1229, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8201, kappa: 0.605, kb_relative_information_score: 165.6887, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8211, predictive_accuracy: 0.8231, prior_entropy: 1.0314, recall: 0.8231, relative_absolute_error: 0.3823, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.8263, scimark_benchmark: 926.6717, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8184, kappa: 0.6, kb_relative_information_score: 162.3135, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8222, predictive_accuracy: 0.8231, prior_entropy: 1.0314, recall: 0.8231, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.8361, scimark_benchmark: 876.8277, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8184, kappa: 0.6, kb_relative_information_score: 163.978, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8222, predictive_accuracy: 0.8231, prior_entropy: 1.0314, recall: 0.8231, relative_absolute_error: 0.3903, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.8416, scimark_benchmark: 939.7623, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8076, kappa: 0.576, kb_relative_information_score: 155.8948, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8116, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.8733, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.7723, kappa: 0.5068, kb_relative_information_score: 132.6436, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7726, predictive_accuracy: 0.7721, prior_entropy: 1.0314, recall: 0.7721, relative_absolute_error: 0.5019, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.8966, scimark_benchmark: 924.6116, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7787, kappa: 0.5195, kb_relative_information_score: 135.3153, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7785, predictive_accuracy: 0.7789, prior_entropy: 1.0314, recall: 0.7789, relative_absolute_error: 0.4961, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.8674, scimark_benchmark: 902.4773, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.7872, kappa: 0.535, kb_relative_information_score: 137.5906, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7865, predictive_accuracy: 0.7891, prior_entropy: 1.0314, recall: 0.7891, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.8344, scimark_benchmark: 932.3943, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8146, kappa: 0.595, kb_relative_information_score: 146.6948, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8142, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.793, scimark_benchmark: 940.2922, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8123, kappa: 0.5918, kb_relative_information_score: 146.5352, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8119, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.7677, scimark_benchmark: 938.9865, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, f_measure: 0.4988, kb_relative_information_score: -0.6413, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3037, root_relative_squared_error: 1.0001, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.7823, kappa: 0.5225, kb_relative_information_score: 129.7501, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7822, predictive_accuracy: 0.7857, prior_entropy: 1.0314, recall: 0.7857, relative_absolute_error: 0.5289, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.8041, scimark_benchmark: 930.32, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, build_cpu_time: 2.2451, build_memory: 81895042.0952, f_measure: 0.7911, kappa: 0.5404, kb_relative_information_score: 149.4786, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7929, predictive_accuracy: 0.7959, prior_entropy: 1.0314, recall: 0.7959, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.7846, scimark_benchmark: 872.1114,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, build_cpu_time: 42.9384, build_memory: 44915632.4898, f_measure: 0.7987, kappa: 0.5621, kb_relative_information_score: 148.8282, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7982, predictive_accuracy: 0.7993, prior_entropy: 1.0314, recall: 0.7993, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.9195, scimark_benchmark: 942.7834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, build_cpu_time: 67.2905, build_memory: 921370121.8231, f_measure: 0.8219, kappa: 0.6116, kb_relative_information_score: 166.3906, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8215, predictive_accuracy: 0.8231, prior_entropy: 1.0314, recall: 0.8231, relative_absolute_error: 0.379, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.8757, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, build_cpu_time: 16.2305, build_memory: 1254961459.1565, f_measure: 0.8004, kappa: 0.5632, kb_relative_information_score: 154.1085, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8001, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.4225, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.9208, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, build_cpu_time: 8.2002, build_memory: 484627557.415, f_measure: 0.8091, kappa: 0.5852, kb_relative_information_score: 157.6468, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8088, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.8994, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, build_cpu_time: 4.3382, build_memory: 274882965.4422, f_measure: 0.8087, kappa: 0.5835, kb_relative_information_score: 161.8953, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8082, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.86, scimark_benchmark: 923.8078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, build_cpu_time: 0.558, build_memory: 164171157.2245, f_measure: 0.8068, kappa: 0.5765, kb_relative_information_score: 152.0127, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8069, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.8246, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, build_cpu_time: 0.9375, build_memory: 202257632.898, f_measure: 0.8127, kappa: 0.5935, kb_relative_information_score: 157.2022, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8126, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.845, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, build_cpu_time: 2.0078, build_memory: 2513545327.7279, f_measure: 0.832, kappa: 0.6333, kb_relative_information_score: 165.9511, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8317, predictive_accuracy: 0.8333, prior_entropy: 1.0314, recall: 0.8333, relative_absolute_error: 0.3842, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.8308, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, build_cpu_time: 3.7115, build_memory: 710558972.3537, f_measure: 0.8252, kappa: 0.6183, kb_relative_information_score: 166.2867, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8248, predictive_accuracy: 0.8265, prior_entropy: 1.0314, recall: 0.8265, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.8526, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, build_cpu_time: 0.0684, build_memory: 1428092546.0136, f_measure: 0.7903, kappa: 0.5415, kb_relative_information_score: 134.5678, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7898, predictive_accuracy: 0.7925, prior_entropy: 1.0314, recall: 0.7925, relative_absolute_error: 0.5012, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.8664, scimark_benchmark: 920.7965,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, build_cpu_time: 0.0581, build_memory: 264994236.3265, f_measure: 0.7903, kappa: 0.5415, kb_relative_information_score: 134.5678, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7898, predictive_accuracy: 0.7925, prior_entropy: 1.0314, recall: 0.7925, relative_absolute_error: 0.5012, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.8664, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, build_cpu_time: 0.0443, build_memory: 1596727721.4966, f_measure: 0.7866, kappa: 0.533, kb_relative_information_score: 133.5646, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7861, predictive_accuracy: 0.7891, prior_entropy: 1.0314, recall: 0.7891, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.857, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, build_cpu_time: 0.0617, build_memory: 532903155.0748, f_measure: 0.8046, kappa: 0.5734, kb_relative_information_score: 149.9927, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.804, predictive_accuracy: 0.8061, prior_entropy: 1.0314, recall: 0.8061, relative_absolute_error: 0.4427, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.257, root_relative_squared_error: 0.846, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, build_cpu_time: 0.1313, build_memory: 559185199.3469, f_measure: 0.8119, kappa: 0.5901, kb_relative_information_score: 155.9948, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8114, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.4215, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.8613, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, build_cpu_time: 0.2651, build_memory: 679250420.6803, f_measure: 0.8087, kappa: 0.5835, kb_relative_information_score: 156.0987, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8082, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.266, root_relative_squared_error: 0.876, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, build_cpu_time: 0.485, build_memory: 52033136.381, f_measure: 0.7991, kappa: 0.5639, kb_relative_information_score: 150.5777, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7989, predictive_accuracy: 0.7993, prior_entropy: 1.0314, recall: 0.7993, relative_absolute_error: 0.4365, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2774, root_relative_squared_error: 0.9134, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, build_cpu_time: 0.7583, build_memory: 98567004.1088, f_measure: 0.795, kappa: 0.5537, kb_relative_information_score: 149.3286, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7945, predictive_accuracy: 0.7959, prior_entropy: 1.0314, recall: 0.7959, relative_absolute_error: 0.4403, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.28, root_relative_squared_error: 0.922, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, build_cpu_time: 0.0603, build_memory: 1177100068.7891, f_measure: 0.7882, kappa: 0.5389, kb_relative_information_score: 141.4149, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7876, predictive_accuracy: 0.7891, prior_entropy: 1.0314, recall: 0.7891, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.9477, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, build_cpu_time: 0.0598, build_memory: 281126401.4694, f_measure: 0.7882, kappa: 0.5389, kb_relative_information_score: 141.4149, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7876, predictive_accuracy: 0.7891, prior_entropy: 1.0314, recall: 0.7891, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.9477, scimark_benchmark: 934.2858,

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