OpenML
Supervised Classification on heart-h

Supervised Classification on heart-h

Task 3826 Supervised Classification heart-h 480 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • study_1 study_107 study_41 under100k under1m
Issue #Downvotes for this reason By


Metric:

480 Runs

Fetching data
Fetching data
Search runs in more detail
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: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.821, kappa: 0.6084, kb_relative_information_score: 140.7332, mean_absolute_error: 0.2449, 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: 0.5308, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.7432, scimark_benchmark: 1354.5533, 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: 1354.4815, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, 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: 1318.9519, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 1303.5632, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1321.4561, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.821, kappa: 0.6084, kb_relative_information_score: 140.7332, mean_absolute_error: 0.2449, 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: 0.5308, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.7432, scimark_benchmark: 1344.3409, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, 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: 1362.1309,
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: 1324.6608, 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: 1274.7011, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
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: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.821, kappa: 0.6084, kb_relative_information_score: 140.7332, mean_absolute_error: 0.2449, 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: 0.5308, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.7432, scimark_benchmark: 1322.7257, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, 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: 1371.9645, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.832, kappa: 0.6333, kb_relative_information_score: 161.6604, 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: 0.7157, scimark_benchmark: 1341.5795, usercpu_time_millis: 1900, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1890,
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,
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: 1288.1375,
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: 1288.1375, 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: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1341.5795, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
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: 1312.2688,
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: 1312.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.821, kappa: 0.6084, kb_relative_information_score: 140.7332, mean_absolute_error: 0.2449, 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: 0.5308, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.7432, scimark_benchmark: 1352.1128, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, 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,
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_testing: 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: 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: 0.9124, 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: 1313.5052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.821, kappa: 0.6084, kb_relative_information_score: 140.7332, mean_absolute_error: 0.2449, 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: 0.5308, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.7432, scimark_benchmark: 1354.3488, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, 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, 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: 1342.6911,
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: 1343.2125, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1343.4596, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
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: 1064.8317,
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: 1349.7981, usercpu_time_millis: 10, usercpu_time_millis_training: 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: 1301.7387,
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: 1321.5205,
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: 1309.4998, 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: 916.6405, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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: 1449.4352, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.8332, kappa: 0.6378, kb_relative_information_score: 164.3565, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.833, predictive_accuracy: 0.8333, prior_entropy: 0.9439, recall: 0.8333, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.8179, scimark_benchmark: 1342.4239, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 937.6212, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
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: 939.5088,
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: 883.2709, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 896.937, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.7872, kappa: 0.535, kb_relative_information_score: 140.6693, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.7865, predictive_accuracy: 0.7891, prior_entropy: 0.9439, recall: 0.7891, relative_absolute_error: 0.5244, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8773, scimark_benchmark: 1322.4968, usercpu_time_millis: 10, usercpu_time_millis_training: 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: 1316.5986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.8296, kappa: 0.6296, kb_relative_information_score: 163.0151, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8293, predictive_accuracy: 0.8299, prior_entropy: 0.9439, recall: 0.8299, relative_absolute_error: 0.4506, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7299, scimark_benchmark: 1334.2813, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.7685, kappa: 0.4922, kb_relative_information_score: 134.2926, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.7681, predictive_accuracy: 0.7721, prior_entropy: 0.9439, recall: 0.7721, relative_absolute_error: 0.5381, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8587, scimark_benchmark: 1319.4881, usercpu_time_millis: 340, usercpu_time_millis_testing: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.7882, kappa: 0.5389, kb_relative_information_score: 154.824, mean_absolute_error: 0.2109, 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: 0.4571, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9564, scimark_benchmark: 1296.8947, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
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: 1348.8637,
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: 1248.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.8291, kappa: 0.6238, kb_relative_information_score: 114.375, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8328, predictive_accuracy: 0.8333, prior_entropy: 0.9439, recall: 0.8333, relative_absolute_error: 0.6507, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7501, scimark_benchmark: 1360.2771, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8286, kappa: 0.6222, kb_relative_information_score: 115.3075, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8335, predictive_accuracy: 0.8333, prior_entropy: 0.9439, recall: 0.8333, relative_absolute_error: 0.6477, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7488, scimark_benchmark: 1292.1375, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8105, kappa: 0.5849, kb_relative_information_score: 151.661, mean_absolute_error: 0.2245, 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: 0.4867, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7849, scimark_benchmark: 1349.1028, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.7872, kappa: 0.535, kb_relative_information_score: 140.6693, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.7865, predictive_accuracy: 0.7891, prior_entropy: 0.9439, recall: 0.7891, relative_absolute_error: 0.5244, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8773, scimark_benchmark: 1303.6621, usercpu_time_millis: 10, usercpu_time_millis_training: 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: 1386.5717,
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: 1334.8495,
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: 1330.7934, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8275, kappa: 0.6218, kb_relative_information_score: 141.3176, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.828, predictive_accuracy: 0.8299, prior_entropy: 0.9439, recall: 0.8299, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.7014, scimark_benchmark: 1315.4655, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 1419.2433, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.6827, kappa: 0.3681, kb_relative_information_score: 80.8747, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.7327, predictive_accuracy: 0.6769, prior_entropy: 0.9439, recall: 0.6769, relative_absolute_error: 0.7004, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.5684, root_relative_squared_error: 1.1839, scimark_benchmark: 1344.7246, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 1367.8403, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
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: 1344.7246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.8151, kappa: 0.5967, kb_relative_information_score: 122.2948, mean_absolute_error: 0.2834, 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: 0.6142, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.8003, scimark_benchmark: 1370.6464, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.7987, kappa: 0.5621, kb_relative_information_score: 117.0977, mean_absolute_error: 0.2907, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.7982, predictive_accuracy: 0.7993, prior_entropy: 0.9439, recall: 0.7993, relative_absolute_error: 0.6301, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8433, scimark_benchmark: 939.9176,
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: 1324.3755, usercpu_time_millis: 10, 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: 1344.3348, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.7981, kappa: 0.5557, kb_relative_information_score: 112.1193, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8001, predictive_accuracy: 0.8027, prior_entropy: 0.9439, recall: 0.8027, relative_absolute_error: 0.6531, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8302, scimark_benchmark: 1326.6647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.84, kappa: 0.6526, kb_relative_information_score: 181.5648, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8398, predictive_accuracy: 0.8401, prior_entropy: 0.9439, recall: 0.8401, relative_absolute_error: 0.3766, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7412, scimark_benchmark: 1325.5087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.8025, kappa: 0.5661, kb_relative_information_score: 119.7363, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8034, predictive_accuracy: 0.8061, prior_entropy: 0.9439, recall: 0.8061, relative_absolute_error: 0.6225, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.832, scimark_benchmark: 1333.5799,
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: 1342.2905, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7892, kappa: 0.5377, kb_relative_information_score: 156.3648, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.7892, predictive_accuracy: 0.7925, prior_entropy: 0.9439, recall: 0.7925, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8898, scimark_benchmark: 942.6843, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8146, kappa: 0.5914, kb_relative_information_score: 114.1709, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8189, predictive_accuracy: 0.8197, prior_entropy: 0.9439, recall: 0.8197, relative_absolute_error: 0.6491, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.7537, scimark_benchmark: 1321.7236, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.8432, kappa: 0.6593, kb_relative_information_score: 182.1052, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.843, predictive_accuracy: 0.8435, prior_entropy: 0.9439, recall: 0.8435, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7376, scimark_benchmark: 918.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.7977, kappa: 0.5584, kb_relative_information_score: 121.8496, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.7971, predictive_accuracy: 0.7993, prior_entropy: 0.9439, recall: 0.7993, relative_absolute_error: 0.6129, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.8001, scimark_benchmark: 918.0213, usercpu_time_millis: 170, usercpu_time_millis_testing: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8228, kappa: 0.6282, kb_relative_information_score: 29.1391, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8377, predictive_accuracy: 0.8197, prior_entropy: 0.9439, recall: 0.8197, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.9235, scimark_benchmark: 876.0664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7695, f_measure: 0.7936, kappa: 0.5451, kb_relative_information_score: 112.8348, mean_absolute_error: 0.2997, 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: 0.6496, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8358, scimark_benchmark: 940.0008,
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: 885.0921, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8274, kappa: 0.6189, kb_relative_information_score: 114.3008, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8355, predictive_accuracy: 0.8333, prior_entropy: 0.9439, recall: 0.8333, relative_absolute_error: 0.6509, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.7551, scimark_benchmark: 938.9967, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.7992, kappa: 0.5567, kb_relative_information_score: 110.5408, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8057, predictive_accuracy: 0.8061, prior_entropy: 0.9439, recall: 0.8061, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7668, scimark_benchmark: 1320.2556, 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: 942.6843, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.784, kappa: 0.5285, kb_relative_information_score: 150.2159, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.7833, predictive_accuracy: 0.7857, prior_entropy: 0.9439, recall: 0.7857, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7994, scimark_benchmark: 1290.1085, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, 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: 1404.1865,
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: 1339.3974, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.8094, kappa: 0.5814, kb_relative_information_score: 130.4542, mean_absolute_error: 0.2645, 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: 0.5734, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.36, root_relative_squared_error: 0.7498, scimark_benchmark: 912.7324, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, 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: 933.3136, 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: 889.3151, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 869.6028, usercpu_time_millis: 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: 1280.6952, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
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: 918.0213, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
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: 882.7843, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 20, usercpu_time_millis_training: 20,
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: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.8288, kappa: 0.6266, kb_relative_information_score: 160.675, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8284, predictive_accuracy: 0.8299, prior_entropy: 0.9439, recall: 0.8299, relative_absolute_error: 0.4566, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7355, scimark_benchmark: 930.5999, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.821, kappa: 0.6084, kb_relative_information_score: 162.0175, mean_absolute_error: 0.2048, 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: 0.444, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7635, scimark_benchmark: 1325.2092, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.8449, kappa: 0.6675, kb_relative_information_score: 190.6782, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8483, predictive_accuracy: 0.8435, prior_entropy: 0.9439, recall: 0.8435, relative_absolute_error: 0.3391, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.8238, scimark_benchmark: 937.6212, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.8238, kappa: 0.6135, kb_relative_information_score: 179.4738, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8245, 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, scimark_benchmark: 869.6028, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,

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