OpenML
Supervised Classification on hungarian

Supervised Classification on hungarian

Task 3722 Supervised Classification hungarian 495 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 178.5241, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 0.9439, recall: 0.8503, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6975, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 178.5241, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 0.9439, recall: 0.8503, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6975, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.832, kappa: 0.6333, kb_relative_information_score: 161.6632, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8317, predictive_accuracy: 0.8333, prior_entropy: 0.9439, recall: 0.8333, relative_absolute_error: 0.455, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.7156, scimark_benchmark: 1332.9478, usercpu_time_millis: 3060, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8316, kappa: 0.6317, kb_relative_information_score: 165.8808, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8315, predictive_accuracy: 0.8333, prior_entropy: 0.9439, recall: 0.8333, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7535, scimark_benchmark: 1358.6198, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.8228, kappa: 0.6148, kb_relative_information_score: 146.4484, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8225, predictive_accuracy: 0.8231, prior_entropy: 0.9439, recall: 0.8231, relative_absolute_error: 0.5135, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.36, root_relative_squared_error: 0.7498, scimark_benchmark: 1339.3082, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8497, kappa: 0.6727, kb_relative_information_score: 163.5012, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8494, predictive_accuracy: 0.8503, prior_entropy: 0.9439, recall: 0.8503, relative_absolute_error: 0.4541, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.7068, scimark_benchmark: 1331.8682, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 56.2249, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 0.9439, recall: 0.6395, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2505, scimark_benchmark: 1348.2804, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 56.2249, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 0.9439, recall: 0.6395, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2505, scimark_benchmark: 1325.6322, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.832, kappa: 0.6333, kb_relative_information_score: 161.6632, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8317, predictive_accuracy: 0.8333, prior_entropy: 0.9439, recall: 0.8333, relative_absolute_error: 0.455, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.7156, scimark_benchmark: 1360.0477, usercpu_time_millis: 2130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 178.5241, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 0.9439, recall: 0.8503, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6975, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8023, kappa: 0.5704, kb_relative_information_score: 120.9614, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.802, predictive_accuracy: 0.8027, prior_entropy: 0.9439, recall: 0.8027, relative_absolute_error: 0.613, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8246, scimark_benchmark: 1330.0291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 56.2249, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 0.9439, recall: 0.6395, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2505, scimark_benchmark: 1322.7257, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 56.2249, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 0.9439, recall: 0.6395, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2505, scimark_benchmark: 1331.0107, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8316, kappa: 0.6317, kb_relative_information_score: 165.8808, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8315, predictive_accuracy: 0.8333, prior_entropy: 0.9439, recall: 0.8333, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7535, scimark_benchmark: 1344.0499, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8137, kappa: 0.5916, kb_relative_information_score: 140.7007, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8139, predictive_accuracy: 0.8163, prior_entropy: 0.9439, recall: 0.8163, relative_absolute_error: 0.5318, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.7474, scimark_benchmark: 1357.7543, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 56.2249, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 0.9439, recall: 0.6395, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2505, scimark_benchmark: 1334.0757, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 178.5241, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 0.9439, recall: 0.8503, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6975, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8137, kappa: 0.5916, kb_relative_information_score: 140.7007, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8139, predictive_accuracy: 0.8163, prior_entropy: 0.9439, recall: 0.8163, relative_absolute_error: 0.5318, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.7474, scimark_benchmark: 1322.7257, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 181.8758, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 0.9439, recall: 0.8503, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.725, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 178.5241, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 0.9439, recall: 0.8503, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6975, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8137, kappa: 0.5916, kb_relative_information_score: 140.7007, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8139, predictive_accuracy: 0.8163, prior_entropy: 0.9439, recall: 0.8163, relative_absolute_error: 0.5318, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.7474, scimark_benchmark: 1278.6629, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7972, kappa: 0.5566, kb_relative_information_score: 115.2545, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.7967, predictive_accuracy: 0.7993, prior_entropy: 0.9439, recall: 0.7993, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7768, scimark_benchmark: 1348.2476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.832, kappa: 0.6333, kb_relative_information_score: 161.6632, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8317, predictive_accuracy: 0.8333, prior_entropy: 0.9439, recall: 0.8333, relative_absolute_error: 0.455, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.7156, scimark_benchmark: 1341.5795, usercpu_time_millis: 2160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 181.8758, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 0.9439, recall: 0.8503, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.725, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 178.5241, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 0.9439, recall: 0.8503, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6975, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.8178, kappa: 0.5982, kb_relative_information_score: 113.9712, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.823, predictive_accuracy: 0.8231, prior_entropy: 0.9439, recall: 0.8231, relative_absolute_error: 0.6513, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.7548, scimark_benchmark: 1331.8954, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 178.5241, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 0.9439, recall: 0.8503, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6975, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 178.5241, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 0.9439, recall: 0.8503, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6975, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8023, kappa: 0.5704, kb_relative_information_score: 120.9614, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.802, predictive_accuracy: 0.8027, prior_entropy: 0.9439, recall: 0.8027, relative_absolute_error: 0.613, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8246, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 178.5241, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 0.9439, recall: 0.8503, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6975, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 178.5241, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 0.9439, recall: 0.8503, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6975, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8316, kappa: 0.6317, kb_relative_information_score: 165.8808, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8315, predictive_accuracy: 0.8333, prior_entropy: 0.9439, recall: 0.8333, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7535, scimark_benchmark: 1315.933, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8137, kappa: 0.5916, kb_relative_information_score: 140.7007, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8139, predictive_accuracy: 0.8163, prior_entropy: 0.9439, recall: 0.8163, relative_absolute_error: 0.5318, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.7474, scimark_benchmark: 1315.933, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8023, kappa: 0.5704, kb_relative_information_score: 120.9614, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.802, predictive_accuracy: 0.8027, prior_entropy: 0.9439, recall: 0.8027, relative_absolute_error: 0.613, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8246, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.8228, kappa: 0.6148, kb_relative_information_score: 146.4484, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8225, predictive_accuracy: 0.8231, prior_entropy: 0.9439, recall: 0.8231, relative_absolute_error: 0.5135, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.36, root_relative_squared_error: 0.7498, scimark_benchmark: 1350.073, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 56.2249, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 0.9439, recall: 0.6395, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2505, scimark_benchmark: 1354.3488, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 181.8758, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 0.9439, recall: 0.8503, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.725, scimark_benchmark: 1354.3488,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 178.5241, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 0.9439, recall: 0.8503, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6975, scimark_benchmark: 1380.2233,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8201, kappa: 0.605, kb_relative_information_score: 155.3416, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8211, predictive_accuracy: 0.8231, prior_entropy: 0.9439, recall: 0.8231, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7263, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8062, kappa: 0.5747, kb_relative_information_score: 130.1554, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8069, predictive_accuracy: 0.8095, prior_entropy: 0.9439, recall: 0.8095, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7499, scimark_benchmark: 935.5075, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 56.2249, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 0.9439, recall: 0.6395, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.6005, root_relative_squared_error: 1.2505, scimark_benchmark: 935.5075, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8023, kappa: 0.5704, kb_relative_information_score: 120.9614, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.802, predictive_accuracy: 0.8027, prior_entropy: 0.9439, recall: 0.8027, relative_absolute_error: 0.613, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8246, scimark_benchmark: 918.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8464, kappa: 0.666, kb_relative_information_score: 182.8851, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8461, predictive_accuracy: 0.8469, prior_entropy: 0.9439, recall: 0.8469, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7338, scimark_benchmark: 918.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.7882, kappa: 0.5389, kb_relative_information_score: 153.8478, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.7876, predictive_accuracy: 0.7891, prior_entropy: 0.9439, recall: 0.7891, relative_absolute_error: 0.4618, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.9528, scimark_benchmark: 854.5188, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, f_measure: 0.4988, kb_relative_information_score: -0.1652, mean_absolute_error: 0.4614, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 0.9439, recall: 0.6395, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4802, root_relative_squared_error: 1.0001, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5833, f_measure: 0.5629, kappa: 0.0901, kb_relative_information_score: -38.1698, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.6777, predictive_accuracy: 0.6599, prior_entropy: 0.9439, recall: 0.6599, relative_absolute_error: 1.0778, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0359, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7972, kappa: 0.5566, kb_relative_information_score: 115.2545, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.7967, predictive_accuracy: 0.7993, prior_entropy: 0.9439, recall: 0.7993, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7768, scimark_benchmark: 880.8372, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.8023, kappa: 0.5704, kb_relative_information_score: 132.9145, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.802, predictive_accuracy: 0.8027, prior_entropy: 0.9439, recall: 0.8027, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8511, scimark_benchmark: 906.4475, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.8228, kappa: 0.6148, kb_relative_information_score: 146.4484, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8225, predictive_accuracy: 0.8231, prior_entropy: 0.9439, recall: 0.8231, relative_absolute_error: 0.5135, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.36, root_relative_squared_error: 0.7498, scimark_benchmark: 825.5282, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8069, kappa: 0.5741, kb_relative_information_score: 114.4969, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8123, predictive_accuracy: 0.8129, prior_entropy: 0.9439, recall: 0.8129, relative_absolute_error: 0.6489, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7583, scimark_benchmark: 942.6843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.7709, kappa: 0.5006, kb_relative_information_score: 141.2063, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.7701, predictive_accuracy: 0.7721, prior_entropy: 0.9439, recall: 0.7721, relative_absolute_error: 0.5079, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8565, scimark_benchmark: 1336.2976, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.8105, kappa: 0.5849, kb_relative_information_score: 149.2024, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8105, predictive_accuracy: 0.8129, prior_entropy: 0.9439, recall: 0.8129, relative_absolute_error: 0.4952, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7642, scimark_benchmark: 895.5332, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8094, kappa: 0.5814, kb_relative_information_score: 129.8082, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8105, predictive_accuracy: 0.8129, prior_entropy: 0.9439, recall: 0.8129, relative_absolute_error: 0.5743, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.7513, scimark_benchmark: 938.9967, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8114, kappa: 0.5884, kb_relative_information_score: 128.2229, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8109, predictive_accuracy: 0.8129, prior_entropy: 0.9439, recall: 0.8129, relative_absolute_error: 0.5767, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.7618, scimark_benchmark: 940.0008, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.8009, kappa: 0.565, kb_relative_information_score: 126.654, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8004, predictive_accuracy: 0.8027, prior_entropy: 0.9439, recall: 0.8027, relative_absolute_error: 0.582, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.7704, scimark_benchmark: 1307.3269, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7861, kappa: 0.5311, kb_relative_information_score: 111.6912, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.7858, predictive_accuracy: 0.7891, prior_entropy: 0.9439, recall: 0.7891, relative_absolute_error: 0.6458, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8469, scimark_benchmark: 930.5999, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.8142, kappa: 0.5933, kb_relative_information_score: 157.9187, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.814, predictive_accuracy: 0.8163, prior_entropy: 0.9439, recall: 0.8163, relative_absolute_error: 0.4605, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7647, scimark_benchmark: 1304.9611, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8227, kappa: 0.6102, kb_relative_information_score: 158.9351, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8251, predictive_accuracy: 0.8265, prior_entropy: 0.9439, recall: 0.8265, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7445, scimark_benchmark: 1280.6952, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, f_measure: 0.821, kappa: 0.6084, kb_relative_information_score: 154.5721, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.821, predictive_accuracy: 0.8231, prior_entropy: 0.9439, recall: 0.8231, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.7479, scimark_benchmark: 1304.9611, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.8152, kappa: 0.5931, kb_relative_information_score: 152.4854, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8183, predictive_accuracy: 0.8197, prior_entropy: 0.9439, recall: 0.8197, relative_absolute_error: 0.4857, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7455, scimark_benchmark: 933.3136, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.7936, kappa: 0.5451, kb_relative_information_score: 151.2528, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.797, predictive_accuracy: 0.7993, prior_entropy: 0.9439, recall: 0.7993, relative_absolute_error: 0.4889, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7402, scimark_benchmark: 1336.3256, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs