Task
Supervised Classification on fri_c4_1000_25

Supervised Classification on fri_c4_1000_25

Task 3589 Supervised Classification fri_c4_1000_25 401 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: 0.7259, f_measure: 0.6646, kappa: 0.3226, kb_relative_information_score: 218.5377, mean_absolute_error: 0.3955, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6644, predictive_accuracy: 0.665, prior_entropy: 0.9936, recall: 0.665, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9306, scimark_benchmark: 1347.5461, usercpu_time_millis: 48340, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 48140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.8649, kappa: 0.7272, kb_relative_information_score: 645.0685, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8649, predictive_accuracy: 0.865, prior_entropy: 0.9936, recall: 0.865, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.335, root_relative_squared_error: 0.673, scimark_benchmark: 1313.9976, usercpu_time_millis: 450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8432, kappa: 0.6845, kb_relative_information_score: 583.0881, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8442, predictive_accuracy: 0.843, prior_entropy: 0.9936, recall: 0.843, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6627, scimark_benchmark: 1327.6367, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8749, kappa: 0.7475, kb_relative_information_score: 502.7566, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8749, predictive_accuracy: 0.875, prior_entropy: 0.9936, recall: 0.875, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6696, scimark_benchmark: 1318.3027, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9028, kappa: 0.8036, kb_relative_information_score: 526.2869, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.9032, predictive_accuracy: 0.903, prior_entropy: 0.9936, recall: 0.903, relative_absolute_error: 0.524, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6257, scimark_benchmark: 1308.6872, usercpu_time_millis: 440, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.8827, kappa: 0.7631, kb_relative_information_score: 648.4018, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8831, predictive_accuracy: 0.883, prior_entropy: 0.9936, recall: 0.883, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.5869, scimark_benchmark: 1330.4755, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8432, kappa: 0.6845, kb_relative_information_score: 583.0881, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8442, predictive_accuracy: 0.843, prior_entropy: 0.9936, recall: 0.843, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6627, scimark_benchmark: 1320.8688, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8432, kappa: 0.6845, kb_relative_information_score: 583.0881, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8442, predictive_accuracy: 0.843, prior_entropy: 0.9936, recall: 0.843, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6627, scimark_benchmark: 1347.993, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.8115, kappa: 0.6191, kb_relative_information_score: 564.5422, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8118, predictive_accuracy: 0.812, prior_entropy: 0.9936, recall: 0.812, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.6828, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8432, kappa: 0.6845, kb_relative_information_score: 583.0881, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8442, predictive_accuracy: 0.843, prior_entropy: 0.9936, recall: 0.843, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6627, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.88, kappa: 0.7577, kb_relative_information_score: 654.5486, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9936, recall: 0.88, relative_absolute_error: 0.3692, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.649, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8432, kappa: 0.6845, kb_relative_information_score: 583.0881, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8442, predictive_accuracy: 0.843, prior_entropy: 0.9936, recall: 0.843, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6627, scimark_benchmark: 1317.5348, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8432, kappa: 0.6845, kb_relative_information_score: 583.0881, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8442, predictive_accuracy: 0.843, prior_entropy: 0.9936, recall: 0.843, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6627, scimark_benchmark: 1346.4374, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8432, kappa: 0.6845, kb_relative_information_score: 583.0881, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8442, predictive_accuracy: 0.843, prior_entropy: 0.9936, recall: 0.843, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6627, scimark_benchmark: 1342.2845, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8432, kappa: 0.6845, kb_relative_information_score: 583.0881, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8442, predictive_accuracy: 0.843, prior_entropy: 0.9936, recall: 0.843, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6627, scimark_benchmark: 1337.3324, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6602, f_measure: 0.6643, kappa: 0.3216, kb_relative_information_score: 321.3878, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.664, predictive_accuracy: 0.665, prior_entropy: 0.9936, recall: 0.665, relative_absolute_error: 0.676, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5788, root_relative_squared_error: 1.1627, scimark_benchmark: 1325.4787, usercpu_time_millis: 530, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8432, kappa: 0.6845, kb_relative_information_score: 583.0881, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8442, predictive_accuracy: 0.843, prior_entropy: 0.9936, recall: 0.843, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6627, scimark_benchmark: 1331.4379, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.6646, kappa: 0.3226, kb_relative_information_score: 218.5377, mean_absolute_error: 0.3955, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6644, predictive_accuracy: 0.665, prior_entropy: 0.9936, recall: 0.665, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9306, scimark_benchmark: 1343.3311, usercpu_time_millis: 42160, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 41960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.8827, kappa: 0.7631, kb_relative_information_score: 648.4018, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8831, predictive_accuracy: 0.883, prior_entropy: 0.9936, recall: 0.883, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.5869, scimark_benchmark: 1313.8988, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.8115, kappa: 0.6191, kb_relative_information_score: 564.5422, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8118, predictive_accuracy: 0.812, prior_entropy: 0.9936, recall: 0.812, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.6828, scimark_benchmark: 1339.2472, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8749, kappa: 0.7475, kb_relative_information_score: 502.7566, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8749, predictive_accuracy: 0.875, prior_entropy: 0.9936, recall: 0.875, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.6696, scimark_benchmark: 1339.2472, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8432, kappa: 0.6845, kb_relative_information_score: 583.0881, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8442, predictive_accuracy: 0.843, prior_entropy: 0.9936, recall: 0.843, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6627, scimark_benchmark: 1338.5214, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.8827, kappa: 0.7631, kb_relative_information_score: 648.4018, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8831, predictive_accuracy: 0.883, prior_entropy: 0.9936, recall: 0.883, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.5869, scimark_benchmark: 1349.1517, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8432, kappa: 0.6845, kb_relative_information_score: 583.0881, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8442, predictive_accuracy: 0.843, prior_entropy: 0.9936, recall: 0.843, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6627, scimark_benchmark: 1317.5857, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.8115, kappa: 0.6191, kb_relative_information_score: 564.5422, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8118, predictive_accuracy: 0.812, prior_entropy: 0.9936, recall: 0.812, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.6828, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8432, kappa: 0.6845, kb_relative_information_score: 583.0881, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8442, predictive_accuracy: 0.843, prior_entropy: 0.9936, recall: 0.843, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6627, scimark_benchmark: 1326.2019, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.8649, kappa: 0.7272, kb_relative_information_score: 645.0685, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8649, predictive_accuracy: 0.865, prior_entropy: 0.9936, recall: 0.865, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.335, root_relative_squared_error: 0.673, scimark_benchmark: 1322.5413, usercpu_time_millis: 460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8432, kappa: 0.6845, kb_relative_information_score: 583.0881, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8442, predictive_accuracy: 0.843, prior_entropy: 0.9936, recall: 0.843, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6627, scimark_benchmark: 1353.0836, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8432, kappa: 0.6845, kb_relative_information_score: 583.0881, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8442, predictive_accuracy: 0.843, prior_entropy: 0.9936, recall: 0.843, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6627, scimark_benchmark: 1318.6467, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.8827, kappa: 0.7631, kb_relative_information_score: 648.4018, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8831, predictive_accuracy: 0.883, prior_entropy: 0.9936, recall: 0.883, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.5869, scimark_benchmark: 1337.8124, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8432, kappa: 0.6845, kb_relative_information_score: 583.0881, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8442, predictive_accuracy: 0.843, prior_entropy: 0.9936, recall: 0.843, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6627, scimark_benchmark: 1333.202, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8432, kappa: 0.6845, kb_relative_information_score: 583.0881, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8442, predictive_accuracy: 0.843, prior_entropy: 0.9936, recall: 0.843, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6627, scimark_benchmark: 1340.9749, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.88, kappa: 0.7577, kb_relative_information_score: 654.5486, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9936, recall: 0.88, relative_absolute_error: 0.3692, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.649, scimark_benchmark: 901.8743, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9028, kappa: 0.8036, kb_relative_information_score: 526.2869, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.9032, predictive_accuracy: 0.903, prior_entropy: 0.9936, recall: 0.903, relative_absolute_error: 0.524, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6257, scimark_benchmark: 946.9304, usercpu_time_millis: 550, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8432, kappa: 0.6845, kb_relative_information_score: 583.0881, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8442, predictive_accuracy: 0.843, prior_entropy: 0.9936, recall: 0.843, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6627, scimark_benchmark: 1350.2591, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.8827, kappa: 0.7631, kb_relative_information_score: 648.4018, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8831, predictive_accuracy: 0.883, prior_entropy: 0.9936, recall: 0.883, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.5869, scimark_benchmark: 1324.6442, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8432, kappa: 0.6845, kb_relative_information_score: 583.0881, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8442, predictive_accuracy: 0.843, prior_entropy: 0.9936, recall: 0.843, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6627, scimark_benchmark: 1350.2591, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5123, f_measure: 0.4447, kappa: 0.0266, kb_relative_information_score: 94.5171, mean_absolute_error: 0.447, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.5499, predictive_accuracy: 0.553, prior_entropy: 0.9936, recall: 0.553, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.6686, root_relative_squared_error: 1.3431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.6364, kappa: 0.2648, kb_relative_information_score: 134.7971, mean_absolute_error: 0.4385, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6363, predictive_accuracy: 0.638, prior_entropy: 0.9936, recall: 0.638, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9717,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8665, kappa: 0.7301, kb_relative_information_score: 361.5616, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8675, predictive_accuracy: 0.867, prior_entropy: 0.9936, recall: 0.867, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7456,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.9098, kappa: 0.8178, kb_relative_information_score: 817.6675, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.9102, predictive_accuracy: 0.91, prior_entropy: 0.9936, recall: 0.91, relative_absolute_error: 0.1816, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6027,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8648, kappa: 0.727, kb_relative_information_score: 717.4252, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8649, predictive_accuracy: 0.865, prior_entropy: 0.9936, recall: 0.865, relative_absolute_error: 0.2845, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.6278, kappa: 0.2529, kb_relative_information_score: 152.3374, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6305, predictive_accuracy: 0.627, prior_entropy: 0.9936, recall: 0.627, relative_absolute_error: 0.8625, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9689,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7294, kappa: 0.4748, kb_relative_information_score: 457.1051, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.764, predictive_accuracy: 0.732, prior_entropy: 0.9936, recall: 0.732, relative_absolute_error: 0.5408, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.04, usercpu_time_millis: 2.696, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 2.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7076, f_measure: 0.6749, kappa: 0.3967, kb_relative_information_score: 365.9517, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.7586, predictive_accuracy: 0.687, prior_entropy: 0.9936, recall: 0.687, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5595, root_relative_squared_error: 1.1239, usercpu_time_millis: 1.08, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5321, f_measure: 0.5321, kappa: 0.0662, kb_relative_information_score: 90.4658, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.5411, predictive_accuracy: 0.551, prior_entropy: 0.9936, recall: 0.551, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.6701, root_relative_squared_error: 1.3461, usercpu_time_millis: 0.381, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8876, kappa: 0.7729, kb_relative_information_score: 773.1036, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8885, predictive_accuracy: 0.888, prior_entropy: 0.9936, recall: 0.888, relative_absolute_error: 0.226, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6723, usercpu_time_millis: 3.554, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 3.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.8593, kappa: 0.7156, kb_relative_information_score: 716.386, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8609, predictive_accuracy: 0.86, prior_entropy: 0.9936, recall: 0.86, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7517, usercpu_time_millis: 41.495, usercpu_time_millis_testing: 4.732, usercpu_time_millis_training: 36.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3868, kb_relative_information_score: 82.3633, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.2992, predictive_accuracy: 0.547, prior_entropy: 0.9936, recall: 0.547, relative_absolute_error: 0.9141, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.6731, root_relative_squared_error: 1.3521, usercpu_time_millis: 0.862, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, f_measure: 0.6415, kappa: 0.2751, kb_relative_information_score: 276.8239, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6414, predictive_accuracy: 0.643, prior_entropy: 0.9936, recall: 0.643, relative_absolute_error: 0.7204, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5975, root_relative_squared_error: 1.2003, usercpu_time_millis: 1.046, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6374, f_measure: 0.6423, kappa: 0.2767, kb_relative_information_score: 278.8496, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6423, predictive_accuracy: 0.644, prior_entropy: 0.9936, recall: 0.644, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1986, usercpu_time_millis: 0.925, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 0.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.6428, kappa: 0.2778, kb_relative_information_score: 278.8496, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6425, predictive_accuracy: 0.644, prior_entropy: 0.9936, recall: 0.644, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1986, usercpu_time_millis: 1.702, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 1.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.8648, kappa: 0.727, kb_relative_information_score: 726.5141, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.8649, predictive_accuracy: 0.865, prior_entropy: 0.9936, recall: 0.865, relative_absolute_error: 0.2724, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7381, usercpu_time_millis: 1.508, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 1.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5923, f_measure: 0.5973, kappa: 0.1858, kb_relative_information_score: 187.6961, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.5969, predictive_accuracy: 0.599, prior_entropy: 0.9936, recall: 0.599, relative_absolute_error: 0.8091, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.6332, root_relative_squared_error: 1.2721, usercpu_time_millis: 2.528, usercpu_time_millis_testing: 0.614, usercpu_time_millis_training: 1.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6299, f_measure: 0.635, kappa: 0.2618, kb_relative_information_score: 264.6701, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6351, predictive_accuracy: 0.637, prior_entropy: 0.9936, recall: 0.637, relative_absolute_error: 0.7325, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.6025, root_relative_squared_error: 1.2103, usercpu_time_millis: 0.21, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.8567, kappa: 0.7104, kb_relative_information_score: 710.3091, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.857, predictive_accuracy: 0.857, prior_entropy: 0.9936, recall: 0.857, relative_absolute_error: 0.2885, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7597, usercpu_time_millis: 2.262, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 1.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.6428, kappa: 0.2778, kb_relative_information_score: 278.8496, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6425, predictive_accuracy: 0.644, prior_entropy: 0.9936, recall: 0.644, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1986, usercpu_time_millis: 0.222, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, f_measure: 0.6631, kappa: 0.3187, kb_relative_information_score: 321.3878, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6635, predictive_accuracy: 0.665, prior_entropy: 0.9936, recall: 0.665, relative_absolute_error: 0.676, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5788, root_relative_squared_error: 1.1627, usercpu_time_millis: 1.175, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, f_measure: 0.6444, kappa: 0.2811, kb_relative_information_score: 282.9008, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6444, predictive_accuracy: 0.646, prior_entropy: 0.9936, recall: 0.646, relative_absolute_error: 0.7143, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.595, root_relative_squared_error: 1.1953, usercpu_time_millis: 0.102, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 0.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, f_measure: 0.6435, kappa: 0.2792, kb_relative_information_score: 280.8752, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6434, predictive_accuracy: 0.645, prior_entropy: 0.9936, recall: 0.645, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5958, root_relative_squared_error: 1.1969, usercpu_time_millis: 0.055, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 0.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.906, kappa: 0.8102, kb_relative_information_score: 809.565, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.906, predictive_accuracy: 0.906, prior_entropy: 0.9936, recall: 0.906, relative_absolute_error: 0.1897, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6159, usercpu_time_millis: 251.425, usercpu_time_millis_testing: 4.426, usercpu_time_millis_training: 246.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.638, f_measure: 0.6427, kappa: 0.2775, kb_relative_information_score: 278.8496, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6425, predictive_accuracy: 0.644, prior_entropy: 0.9936, recall: 0.644, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1986, usercpu_time_millis: 0.387, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6372, f_measure: 0.6422, kappa: 0.2764, kb_relative_information_score: 278.8496, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6422, predictive_accuracy: 0.644, prior_entropy: 0.9936, recall: 0.644, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1986, usercpu_time_millis: 2.2, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 2.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, f_measure: 0.7452, kappa: 0.4865, kb_relative_information_score: 483.4383, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.7456, predictive_accuracy: 0.745, prior_entropy: 0.9936, recall: 0.745, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0144, usercpu_time_millis: 2.247, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 2.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7866, kappa: 0.5688, kb_relative_information_score: 568.5149, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.7866, predictive_accuracy: 0.787, prior_entropy: 0.9936, recall: 0.787, relative_absolute_error: 0.4298, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9271, usercpu_time_millis: 19.551, usercpu_time_millis_testing: 1.697, usercpu_time_millis_training: 17.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.638, f_measure: 0.6427, kappa: 0.2775, kb_relative_information_score: 278.8496, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6425, predictive_accuracy: 0.644, prior_entropy: 0.9936, recall: 0.644, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1986, usercpu_time_millis: 0.378, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, f_measure: 0.6278, kappa: 0.2529, kb_relative_information_score: 244.4138, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.6305, predictive_accuracy: 0.627, prior_entropy: 0.9936, recall: 0.627, relative_absolute_error: 0.7526, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.6107, root_relative_squared_error: 1.2269, usercpu_time_millis: 0.917, usercpu_time_millis_testing: 0.733, usercpu_time_millis_training: 0.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.6522, kappa: 0.2973, kb_relative_information_score: 297.0802, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.652, predictive_accuracy: 0.653, prior_entropy: 0.9936, recall: 0.653, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5891, root_relative_squared_error: 1.1834, usercpu_time_millis: 0.899, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.867,

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