Task
Supervised Classification on fri_c0_250_50

Supervised Classification on fri_c0_250_50

Task 3598 Supervised Classification fri_c0_250_50 543 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, build_cpu_time: 0.7662, build_memory: 722287406.4, f_measure: 0.7602, kappa: 0.5195, kb_relative_information_score: 94.977, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7613, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.6536, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.771, scimark_benchmark: 938.6014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.7521, kappa: 0.5025, kb_relative_information_score: 105.9771, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7523, predictive_accuracy: 0.752, prior_entropy: 0.9971, recall: 0.752, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.397, root_relative_squared_error: 0.7957, scimark_benchmark: 1328.1545, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 79.2227, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8361, scimark_benchmark: 932.5646, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7705, f_measure: 0.7116, kappa: 0.4275, kb_relative_information_score: 90.6909, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7205, predictive_accuracy: 0.712, prior_entropy: 0.9971, recall: 0.712, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9204, scimark_benchmark: 1349.1517, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.7867, kappa: 0.5714, kb_relative_information_score: 59.1852, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7898, predictive_accuracy: 0.788, prior_entropy: 0.9971, recall: 0.788, relative_absolute_error: 0.8059, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8368, scimark_benchmark: 1344.3409, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 79.2227, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8361, scimark_benchmark: 1308.6872, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.7521, kappa: 0.5025, kb_relative_information_score: 105.9771, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7523, predictive_accuracy: 0.752, prior_entropy: 0.9971, recall: 0.752, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.397, root_relative_squared_error: 0.7957, scimark_benchmark: 1299.5896, usercpu_time_millis: 180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 79.2227, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8361, scimark_benchmark: 1364.5528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 79.2227, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8361, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7602, kappa: 0.5205, kb_relative_information_score: 98.7281, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7629, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.7919, scimark_benchmark: 1350.7721, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 79.2227, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8361, scimark_benchmark: 1323.5075, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 79.2227, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8361, scimark_benchmark: 1327.3335, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 79.2227, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8361, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.7521, kappa: 0.5025, kb_relative_information_score: 105.9771, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7523, predictive_accuracy: 0.752, prior_entropy: 0.9971, recall: 0.752, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.397, root_relative_squared_error: 0.7957, scimark_benchmark: 1317.5857, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 78.8543, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8367, scimark_benchmark: 1325.4787, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 79.2227, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8361, scimark_benchmark: 1347.6543, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.7118, kappa: 0.421, kb_relative_information_score: 77.2645, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7118, predictive_accuracy: 0.712, prior_entropy: 0.9971, recall: 0.712, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.8968, scimark_benchmark: 1340.9446, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 78.8543, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8367, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 79.2227, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8361, scimark_benchmark: 1286.2211, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.744, kappa: 0.4901, kb_relative_information_score: 82.6064, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7501, predictive_accuracy: 0.744, prior_entropy: 0.9971, recall: 0.744, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.81, scimark_benchmark: 1349.1517, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 78.8543, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8367, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 79.2227, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8361, scimark_benchmark: 1346.4374, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 79.2227, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8361, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.744, kappa: 0.4901, kb_relative_information_score: 82.6064, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7501, predictive_accuracy: 0.744, prior_entropy: 0.9971, recall: 0.744, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.81, scimark_benchmark: 1337.9552, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 79.2227, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8361, scimark_benchmark: 1322.3407, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 79.2227, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8361, scimark_benchmark: 1332.9478, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7705, f_measure: 0.7116, kappa: 0.4275, kb_relative_information_score: 90.6909, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7205, predictive_accuracy: 0.712, prior_entropy: 0.9971, recall: 0.712, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9204, scimark_benchmark: 1340.9446, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7602, kappa: 0.5205, kb_relative_information_score: 98.7281, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7629, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.7919, scimark_benchmark: 1314.9949, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 79.2227, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8361, scimark_benchmark: 1322.5413, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 78.8543, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8367, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.744, kappa: 0.4901, kb_relative_information_score: 82.6064, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7501, predictive_accuracy: 0.744, prior_entropy: 0.9971, recall: 0.744, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.81, scimark_benchmark: 1337.8124, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 79.2227, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8361, scimark_benchmark: 1333.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 79.2227, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8361, scimark_benchmark: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.7118, kappa: 0.421, kb_relative_information_score: 77.2645, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7118, predictive_accuracy: 0.712, prior_entropy: 0.9971, recall: 0.712, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.8968, scimark_benchmark: 901.8743, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.7867, kappa: 0.5714, kb_relative_information_score: 59.1852, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7898, predictive_accuracy: 0.788, prior_entropy: 0.9971, recall: 0.788, relative_absolute_error: 0.8059, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8368, scimark_benchmark: 879.4299, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 78.8543, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7076, predictive_accuracy: 0.708, prior_entropy: 0.9971, recall: 0.708, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8367, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.7443, kappa: 0.488, kb_relative_information_score: 85.9053, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.746, predictive_accuracy: 0.744, prior_entropy: 0.9971, recall: 0.744, relative_absolute_error: 0.6801, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.8441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7751, kappa: 0.5561, kb_relative_information_score: 113.1274, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7912, predictive_accuracy: 0.776, prior_entropy: 0.9971, recall: 0.776, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8044, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7601, kappa: 0.5185, kb_relative_information_score: 113.1187, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7603, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.5682, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8283, scimark_benchmark: 1779.392,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.7867, kappa: 0.5714, kb_relative_information_score: 59.1852, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7898, predictive_accuracy: 0.788, prior_entropy: 0.9971, recall: 0.788, relative_absolute_error: 0.8059, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8368, scimark_benchmark: 1838.8826, usercpu_time_millis: 78.0005, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 62.4004,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.7517, kappa: 0.5084, kb_relative_information_score: 129.2874, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7824, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.7599, kappa: 0.5175, kb_relative_information_score: 99.3998, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7861, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7581, f_measure: 0.7614, kappa: 0.5214, kb_relative_information_score: 131.2991, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.768, predictive_accuracy: 0.764, prior_entropy: 0.9971, recall: 0.764, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4858, root_relative_squared_error: 0.9736, usercpu_time_millis: 5.621, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 5.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.7185, kappa: 0.4342, kb_relative_information_score: 109.1706, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7203, predictive_accuracy: 0.72, prior_entropy: 0.9971, recall: 0.72, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0605, usercpu_time_millis: 22.083, usercpu_time_millis_testing: 1.512, usercpu_time_millis_training: 20.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.7481, kappa: 0.4978, kb_relative_information_score: 123.2524, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7535, predictive_accuracy: 0.748, prior_entropy: 0.9971, recall: 0.748, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0061, usercpu_time_millis: 0.38, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 0.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.744, f_measure: 0.7442, kappa: 0.4869, kb_relative_information_score: 121.2407, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7448, predictive_accuracy: 0.744, prior_entropy: 0.9971, recall: 0.744, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.506, root_relative_squared_error: 1.014, usercpu_time_millis: 0.479, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.744, kappa: 0.4859, kb_relative_information_score: 121.2407, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.744, predictive_accuracy: 0.744, prior_entropy: 0.9971, recall: 0.744, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.506, root_relative_squared_error: 1.014, usercpu_time_millis: 381.435, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 381.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.7515, kappa: 0.5004, kb_relative_information_score: 125.2641, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7518, predictive_accuracy: 0.752, prior_entropy: 0.9971, recall: 0.752, relative_absolute_error: 0.498, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.498, root_relative_squared_error: 0.998, usercpu_time_millis: 1.024, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 0.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.7841, kappa: 0.5667, kb_relative_information_score: 141.3575, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7843, predictive_accuracy: 0.784, prior_entropy: 0.9971, recall: 0.784, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9314, usercpu_time_millis: 0.969, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 0.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.8201, kappa: 0.6391, kb_relative_information_score: 159.4627, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8205, predictive_accuracy: 0.82, prior_entropy: 0.9971, recall: 0.82, relative_absolute_error: 0.3615, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8503, usercpu_time_millis: 1.216, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.7599, kappa: 0.5175, kb_relative_information_score: 129.2874, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9818, usercpu_time_millis: 0.072, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.7515, kappa: 0.5004, kb_relative_information_score: 125.2641, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7518, predictive_accuracy: 0.752, prior_entropy: 0.9971, recall: 0.752, relative_absolute_error: 0.498, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.498, root_relative_squared_error: 0.998, usercpu_time_millis: 0.89, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 0.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.7599, kappa: 0.5175, kb_relative_information_score: 129.2874, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9818, usercpu_time_millis: 1.352, usercpu_time_millis_testing: 0.805, usercpu_time_millis_training: 0.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.752, kappa: 0.502, kb_relative_information_score: 125.2641, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.752, predictive_accuracy: 0.752, prior_entropy: 0.9971, recall: 0.752, relative_absolute_error: 0.498, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.498, root_relative_squared_error: 0.998, usercpu_time_millis: 5.244, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 5.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5058, kappa: 0.05, kb_relative_information_score: 6.5749, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.5305, predictive_accuracy: 0.516, prior_entropy: 0.9971, recall: 0.516, relative_absolute_error: 0.972, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6957, root_relative_squared_error: 1.3943, usercpu_time_millis: 0.243, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, f_measure: 0.7509, kappa: 0.5079, kb_relative_information_score: 129.2874, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7855, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9818, usercpu_time_millis: 1.123, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 1.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.6476, kappa: 0.2935, kb_relative_information_score: 74.972, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.6526, predictive_accuracy: 0.652, prior_entropy: 0.9971, recall: 0.652, relative_absolute_error: 0.6988, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5899, root_relative_squared_error: 1.1823, usercpu_time_millis: 0.501, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.7837, kappa: 0.5653, kb_relative_information_score: 141.3575, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7838, predictive_accuracy: 0.784, prior_entropy: 0.9971, recall: 0.784, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9314, usercpu_time_millis: 3.496, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 3.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5578, f_measure: 0.5373, kappa: 0.1195, kb_relative_information_score: 36.7501, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.585, predictive_accuracy: 0.576, prior_entropy: 0.9971, recall: 0.576, relative_absolute_error: 0.8515, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.305, usercpu_time_millis: 0.342, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.7721, kappa: 0.5428, kb_relative_information_score: 135.3225, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7725, predictive_accuracy: 0.772, prior_entropy: 0.9971, recall: 0.772, relative_absolute_error: 0.4579, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.9569, usercpu_time_millis: 1.567, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6144, f_measure: 0.616, kappa: 0.2288, kb_relative_information_score: 56.8669, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.616, predictive_accuracy: 0.616, prior_entropy: 0.9971, recall: 0.616, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.2419, usercpu_time_millis: 1.58, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.752, kappa: 0.502, kb_relative_information_score: 125.2641, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.752, predictive_accuracy: 0.752, prior_entropy: 0.9971, recall: 0.752, relative_absolute_error: 0.498, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.498, root_relative_squared_error: 0.998, usercpu_time_millis: 5.314, usercpu_time_millis_testing: 0.537, usercpu_time_millis_training: 4.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7957, kappa: 0.5893, kb_relative_information_score: 147.3926, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.796, predictive_accuracy: 0.796, prior_entropy: 0.9971, recall: 0.796, relative_absolute_error: 0.4097, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9052, usercpu_time_millis: 4.168, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 3.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.7762, kappa: 0.5511, kb_relative_information_score: 137.3342, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7767, predictive_accuracy: 0.776, prior_entropy: 0.9971, recall: 0.776, relative_absolute_error: 0.4498, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9485, usercpu_time_millis: 0.339, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.286,

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