Task
Supervised Classification on hungarian

Supervised Classification on hungarian

Task 3722 Supervised Classification hungarian 495 runs submitted
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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: 0.8029, 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: 0.9069, 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: 0.9069, 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: 0.8689, 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: 0.9164, 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: 0.9164, 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: 0.8862, 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: 0.8029, 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: 1306.9281,
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: 1332.7986, usercpu_time_millis: 2160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2150,
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 - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, 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: 1330.3848, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 1331.4379,
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: 1324.6442, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
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: 1346.2927,
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: 1339.2472,
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: 1313.8988,
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: 1336.0954,
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: 1333.202, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, 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: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1336.0954, 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: 908.2231,
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: 1324.7884,
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: 1337.9552,
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: 1316.5668,
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: 1329.8008,
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: 1332.9478,
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: 1340.9446,
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: 1340.9446, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
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: 1342.8632,
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: 1324.6442,
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: 1310.6554, 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: 936.4883,
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: 1350.2591,
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: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.7993, kappa: 0.5595, kb_relative_information_score: 117.5243, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.7998, predictive_accuracy: 0.8027, prior_entropy: 0.9439, recall: 0.8027, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8401, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
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: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8403, kappa: 0.6491, kb_relative_information_score: 158.4174, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8427, predictive_accuracy: 0.8435, prior_entropy: 0.9439, recall: 0.8435, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.7255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8158, kappa: 0.5949, kb_relative_information_score: 139.3494, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8179, predictive_accuracy: 0.8197, prior_entropy: 0.9439, recall: 0.8197, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.8169, kappa: 0.5983, kb_relative_information_score: 150.2281, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8175, predictive_accuracy: 0.8197, prior_entropy: 0.9439, recall: 0.8197, relative_absolute_error: 0.4854, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8241, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
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,
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: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.8396, kappa: 0.6511, kb_relative_information_score: 179.0285, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8393, predictive_accuracy: 0.8401, prior_entropy: 0.9439, recall: 0.8401, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.8088, kappa: 0.5796, kb_relative_information_score: 170.5103, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8107, predictive_accuracy: 0.8129, prior_entropy: 0.9439, recall: 0.8129, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.8222, kappa: 0.6085, kb_relative_information_score: 179.4738, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8256, predictive_accuracy: 0.8265, prior_entropy: 0.9439, recall: 0.8265, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.836, kappa: 0.643, kb_relative_information_score: 174.7399, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8356, predictive_accuracy: 0.8367, prior_entropy: 0.9439, recall: 0.8367, relative_absolute_error: 0.4023, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7636, f_measure: 0.7766, kappa: 0.5115, kb_relative_information_score: 119.3419, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.7758, predictive_accuracy: 0.7789, prior_entropy: 0.9439, recall: 0.7789, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.9085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.838, kappa: 0.6453, kb_relative_information_score: 173.5934, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8385, predictive_accuracy: 0.8401, prior_entropy: 0.9439, recall: 0.8401, relative_absolute_error: 0.4113, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.7526,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.8297, kappa: 0.6254, kb_relative_information_score: 183.9556, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8322, predictive_accuracy: 0.8333, prior_entropy: 0.9439, recall: 0.8333, relative_absolute_error: 0.3612, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8299, kappa: 0.6312, kb_relative_information_score: 176.2529, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8299, predictive_accuracy: 0.8299, prior_entropy: 0.9439, recall: 0.8299, relative_absolute_error: 0.3923, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8348, kappa: 0.6385, kb_relative_information_score: 178.0857, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.835, predictive_accuracy: 0.8367, prior_entropy: 0.9439, recall: 0.8367, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7458, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.7993, kappa: 0.5595, kb_relative_information_score: 117.5243, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.7998, predictive_accuracy: 0.8027, prior_entropy: 0.9439, recall: 0.8027, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7999, kappa: 0.5613, kb_relative_information_score: 144.9302, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.7999, predictive_accuracy: 0.8027, prior_entropy: 0.9439, recall: 0.8027, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7824, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8137, kappa: 0.5916, kb_relative_information_score: 154.8153, mean_absolute_error: 0.2168, 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: 0.4698, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8227, kappa: 0.6102, kb_relative_information_score: 120.5087, mean_absolute_error: 0.2893, 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: 0.627, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7418,
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: 974.2014, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, 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: 906.0979,
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: 931.771, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
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: 905.2959,
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: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 851.2074, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 0.8931, f_measure: 0.8403, kappa: 0.6491, kb_relative_information_score: 159.2378, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8427, predictive_accuracy: 0.8435, prior_entropy: 0.9439, recall: 0.8435, relative_absolute_error: 0.4594, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.7256, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.8082, kappa: 0.5778, kb_relative_information_score: 170.5103, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8111, predictive_accuracy: 0.8129, prior_entropy: 0.9439, recall: 0.8129, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9008, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.8324, kappa: 0.6348, kb_relative_information_score: 183.9556, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.832, predictive_accuracy: 0.8333, prior_entropy: 0.9439, recall: 0.8333, relative_absolute_error: 0.3612, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8502, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8259, kappa: 0.617, kb_relative_information_score: 158.1869, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8289, predictive_accuracy: 0.8299, prior_entropy: 0.9439, recall: 0.8299, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.7243, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.8464, kappa: 0.666, kb_relative_information_score: 172.8911, mean_absolute_error: 0.1932, 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: 0.4188, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.7967, kappa: 0.5547, kb_relative_information_score: 148.7122, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.7964, 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: 0.3922, root_relative_squared_error: 0.8168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8316, kappa: 0.6317, kb_relative_information_score: 176.5347, mean_absolute_error: 0.1819, 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: 0.3942, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.7558, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.8222, kappa: 0.6085, kb_relative_information_score: 155.9265, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8256, predictive_accuracy: 0.8265, prior_entropy: 0.9439, recall: 0.8265, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7561, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7999, kappa: 0.5613, kb_relative_information_score: 126.5002, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.7999, predictive_accuracy: 0.8027, prior_entropy: 0.9439, recall: 0.8027, relative_absolute_error: 0.5878, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.8194, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.8063, kappa: 0.5723, kb_relative_information_score: 132.0737, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8131, predictive_accuracy: 0.8129, prior_entropy: 0.9439, recall: 0.8129, relative_absolute_error: 0.57, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.777, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.8119, kappa: 0.5901, kb_relative_information_score: 160.7889, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8114, predictive_accuracy: 0.8129, prior_entropy: 0.9439, recall: 0.8129, relative_absolute_error: 0.4532, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.8151, kappa: 0.5967, kb_relative_information_score: 167.4852, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8146, predictive_accuracy: 0.8163, prior_entropy: 0.9439, recall: 0.8163, relative_absolute_error: 0.4265, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.8064, kappa: 0.5717, kb_relative_information_score: 158.0724, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8232, predictive_accuracy: 0.8163, prior_entropy: 0.9439, recall: 0.8163, relative_absolute_error: 0.4448, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.791, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8046, kappa: 0.5734, kb_relative_information_score: 138.3639, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.804, predictive_accuracy: 0.8061, prior_entropy: 0.9439, recall: 0.8061, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7578,
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: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8114, kappa: 0.5846, kb_relative_information_score: 152.8315, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.815, predictive_accuracy: 0.8163, prior_entropy: 0.9439, recall: 0.8163, relative_absolute_error: 0.4923, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.7104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.8191, kappa: 0.6066, kb_relative_information_score: 150.7244, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8187, predictive_accuracy: 0.8197, prior_entropy: 0.9439, recall: 0.8197, relative_absolute_error: 0.4883, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.8208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.838, kappa: 0.6453, kb_relative_information_score: 188.4374, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8385, predictive_accuracy: 0.8401, prior_entropy: 0.9439, recall: 0.8401, relative_absolute_error: 0.3465, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8327, scimark_benchmark: 1505.4707, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.826, kappa: 0.6215, kb_relative_information_score: 161.2519, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8256, predictive_accuracy: 0.8265, prior_entropy: 0.9439, recall: 0.8265, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7403, scimark_benchmark: 1096.4591, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.811, kappa: 0.5866, kb_relative_information_score: 161.4029, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8106, predictive_accuracy: 0.8129, prior_entropy: 0.9439, recall: 0.8129, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8417, kappa: 0.6536, kb_relative_information_score: 161.9561, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.842, predictive_accuracy: 0.8435, prior_entropy: 0.9439, recall: 0.8435, relative_absolute_error: 0.4546, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.7152, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8094, kappa: 0.5814, kb_relative_information_score: 140.8609, mean_absolute_error: 0.249, 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: 0.5396, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7319, scimark_benchmark: 931.7096, usercpu_time_millis: 2190, usercpu_time_millis_testing: 950, usercpu_time_millis_training: 1240,
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: 936.9595, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
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: 934.695, 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: 935.627, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
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: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.7993, kappa: 0.5595, kb_relative_information_score: 117.5243, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.7998, predictive_accuracy: 0.8027, prior_entropy: 0.9439, recall: 0.8027, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8401, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.8076, kappa: 0.576, kb_relative_information_score: 166.2012, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8116, predictive_accuracy: 0.8129, prior_entropy: 0.9439, recall: 0.8129, relative_absolute_error: 0.4225, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.8739, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8131, kappa: 0.5899, kb_relative_information_score: 155.7543, mean_absolute_error: 0.217, 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: 0.4703, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7713, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8126, kappa: 0.5881, kb_relative_information_score: 139.4741, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8142, predictive_accuracy: 0.8163, prior_entropy: 0.9439, recall: 0.8163, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7433, scimark_benchmark: 945.2015, usercpu_time_millis: 440, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8184, kappa: 0.6, kb_relative_information_score: 139.7878, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8222, predictive_accuracy: 0.8231, prior_entropy: 0.9439, recall: 0.8231, relative_absolute_error: 0.5435, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7355, scimark_benchmark: 938.988, usercpu_time_millis: 800, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 620,

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