OpenML
Supervised Classification on solar-flare

Supervised Classification on solar-flare

Task 2067 Supervised Classification solar-flare 633 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_15 study_20 study_41 study_50 under100k under1m
Issue #Downvotes for this reason By


Metric:

633 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6713, f_measure: 0.9676, kb_relative_information_score: -410.5016, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.9212, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1486, root_relative_squared_error: 1.0204, scimark_benchmark: 1321.4771, usercpu_time_millis: 70, usercpu_time_millis_testing: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.9614, kappa: -0.016, kb_relative_information_score: -368.6479, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9569, predictive_accuracy: 0.9659, prior_entropy: 0.1666, recall: 0.9659, relative_absolute_error: 1.0439, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1748, root_relative_squared_error: 1.2002, scimark_benchmark: 1314.2279, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9676, kb_relative_information_score: -8056.4023, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 11.057, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.5, root_relative_squared_error: 3.4331, scimark_benchmark: 1320.2063, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9676, kb_relative_information_score: 66.6812, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1472, root_relative_squared_error: 1.0108, scimark_benchmark: 1321.8321, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9676, kb_relative_information_score: 66.6812, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1472, root_relative_squared_error: 1.0108, scimark_benchmark: 1320.1171, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.9645, kappa: -0.0097, kb_relative_information_score: -314.2382, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.957, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1605, root_relative_squared_error: 1.1023, scimark_benchmark: 1390.8284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.9645, kappa: -0.0097, kb_relative_information_score: -314.2382, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.957, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1605, root_relative_squared_error: 1.1023, scimark_benchmark: 1345.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.9661, kappa: -0.0054, kb_relative_information_score: -254.433, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9752, prior_entropy: 0.1666, recall: 0.9752, relative_absolute_error: 0.8283, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1565, root_relative_squared_error: 1.0745, scimark_benchmark: 1337.4384, usercpu_time_millis: 920, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9676, kb_relative_information_score: 66.6812, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1472, root_relative_squared_error: 1.0108, scimark_benchmark: 1350.4825, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.9645, kappa: -0.0097, kb_relative_information_score: -314.2382, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.957, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1605, root_relative_squared_error: 1.1023, scimark_benchmark: 1341.3551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.9645, kappa: -0.0097, kb_relative_information_score: -314.2382, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.957, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1605, root_relative_squared_error: 1.1023, scimark_benchmark: 1322.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9676, kb_relative_information_score: 66.6812, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1472, root_relative_squared_error: 1.0108, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6576, f_measure: 0.9629, kappa: -0.0132, kb_relative_information_score: -340.2687, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9569, predictive_accuracy: 0.969, prior_entropy: 0.1666, recall: 0.969, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1603, root_relative_squared_error: 1.101, scimark_benchmark: 1347.993, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.9645, kappa: -0.0097, kb_relative_information_score: -314.2382, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.957, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1605, root_relative_squared_error: 1.1023, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.9645, kappa: -0.0097, kb_relative_information_score: -314.2382, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.957, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1605, root_relative_squared_error: 1.1023, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6576, f_measure: 0.9629, kappa: -0.0132, kb_relative_information_score: -340.2687, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9569, predictive_accuracy: 0.969, prior_entropy: 0.1666, recall: 0.969, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1603, root_relative_squared_error: 1.101, scimark_benchmark: 1278.6629, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3454, f_measure: 0.9676, kb_relative_information_score: 7.9599, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1458, root_relative_squared_error: 1.0009, scimark_benchmark: 1320.9387, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.9661, kappa: -0.0054, kb_relative_information_score: -254.433, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9752, prior_entropy: 0.1666, recall: 0.9752, relative_absolute_error: 0.8283, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1565, root_relative_squared_error: 1.0745, scimark_benchmark: 1264.9916, usercpu_time_millis: 650, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.9518, kappa: 0.2056, kb_relative_information_score: -646.0223, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9689, predictive_accuracy: 0.9381, prior_entropy: 0.1666, recall: 0.9381, relative_absolute_error: 1.5375, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.2287, root_relative_squared_error: 1.5702, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.9645, kappa: -0.0097, kb_relative_information_score: -314.2382, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.957, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1605, root_relative_squared_error: 1.1023, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.9645, kappa: -0.0097, kb_relative_information_score: -314.2382, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.957, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1605, root_relative_squared_error: 1.1023, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6051, f_measure: 0.9676, kb_relative_information_score: -230.1682, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1462, root_relative_squared_error: 1.0041, scimark_benchmark: 1352.1128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, f_measure: 0.9676, kb_relative_information_score: -148.5416, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1507, root_relative_squared_error: 1.0345, scimark_benchmark: 1260.1387, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3454, f_measure: 0.9676, kb_relative_information_score: 7.9599, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1458, root_relative_squared_error: 1.0009, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.9645, kappa: -0.0097, kb_relative_information_score: -314.2382, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.957, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1605, root_relative_squared_error: 1.1023, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, f_measure: 0.9676, kb_relative_information_score: -148.5416, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1507, root_relative_squared_error: 1.0345, scimark_benchmark: 1312.0581, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6576, f_measure: 0.9629, kappa: -0.0132, kb_relative_information_score: -340.2687, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9569, predictive_accuracy: 0.969, prior_entropy: 0.1666, recall: 0.969, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1603, root_relative_squared_error: 1.101, scimark_benchmark: 1315.933, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.9645, kappa: -0.0097, kb_relative_information_score: -314.2382, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.957, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1605, root_relative_squared_error: 1.1023, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.9518, kappa: 0.2056, kb_relative_information_score: -646.0223, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9689, predictive_accuracy: 0.9381, prior_entropy: 0.1666, recall: 0.9381, relative_absolute_error: 1.5375, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.2287, root_relative_squared_error: 1.5702, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.9645, kappa: -0.0097, kb_relative_information_score: -314.2382, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.957, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1605, root_relative_squared_error: 1.1023, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.9661, kappa: -0.0054, kb_relative_information_score: -254.433, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9752, prior_entropy: 0.1666, recall: 0.9752, relative_absolute_error: 0.8283, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1565, root_relative_squared_error: 1.0745, scimark_benchmark: 1343.4596, usercpu_time_millis: 910, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, f_measure: 0.9661, kappa: -0.0054, kb_relative_information_score: -747.9777, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9752, prior_entropy: 0.1666, recall: 0.9752, relative_absolute_error: 1.2045, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1636, root_relative_squared_error: 1.1236, scimark_benchmark: 915.9324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, f_measure: 0.9661, kappa: -0.0054, kb_relative_information_score: -747.9777, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9752, prior_entropy: 0.1666, recall: 0.9752, relative_absolute_error: 1.2045, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1636, root_relative_squared_error: 1.1236, scimark_benchmark: 1328.941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.9614, kappa: -0.016, kb_relative_information_score: -368.6479, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9569, predictive_accuracy: 0.9659, prior_entropy: 0.1666, recall: 0.9659, relative_absolute_error: 1.0439, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1748, root_relative_squared_error: 1.2002, scimark_benchmark: 1320.9026, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3454, f_measure: 0.9676, kb_relative_information_score: 7.9599, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1458, root_relative_squared_error: 1.0009, scimark_benchmark: 1343.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3454, f_measure: 0.9676, kb_relative_information_score: 7.9599, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1458, root_relative_squared_error: 1.0009, scimark_benchmark: 1342.2985, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6345, f_measure: 0.9645, kappa: -0.0097, kb_relative_information_score: -309.3407, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.957, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 1.0651, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1697, root_relative_squared_error: 1.1653, scimark_benchmark: 916.5769, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.9614, kappa: -0.016, kb_relative_information_score: -368.6479, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9569, predictive_accuracy: 0.9659, prior_entropy: 0.1666, recall: 0.9659, relative_absolute_error: 1.0439, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1748, root_relative_squared_error: 1.2002, scimark_benchmark: 1331.2332, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, f_measure: 0.9676, kb_relative_information_score: -153.9762, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.909, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1458, root_relative_squared_error: 1.0014, scimark_benchmark: 1371.9645, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.9661, kappa: -0.0054, kb_relative_information_score: -269.0177, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9752, prior_entropy: 0.1666, recall: 0.9752, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.157, root_relative_squared_error: 1.0777, scimark_benchmark: 1341.4232, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3454, f_measure: 0.9676, kb_relative_information_score: 7.9599, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1458, root_relative_squared_error: 1.0009, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6234, f_measure: 0.9611, kappa: 0.1128, kb_relative_information_score: -282.6291, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9624, predictive_accuracy: 0.9598, prior_entropy: 0.1666, recall: 0.9598, relative_absolute_error: 0.94, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1824, root_relative_squared_error: 1.2525, scimark_benchmark: 1316.6866, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.9614, kappa: -0.016, kb_relative_information_score: -62.4781, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9569, predictive_accuracy: 0.9659, prior_entropy: 0.1666, recall: 0.9659, relative_absolute_error: 0.7531, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1845, root_relative_squared_error: 1.2671, scimark_benchmark: 1330.6247, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.9645, kappa: -0.0097, kb_relative_information_score: -283.7534, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.957, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1609, root_relative_squared_error: 1.1051, scimark_benchmark: 1299.9482, usercpu_time_millis: 570, usercpu_time_millis_testing: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5999, f_measure: 0.9676, kb_relative_information_score: -7863.3867, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 10.3404, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.4685, root_relative_squared_error: 3.2171, scimark_benchmark: 1327.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.9661, kappa: -0.0054, kb_relative_information_score: 34.3914, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9752, prior_entropy: 0.1666, recall: 0.9752, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1574, root_relative_squared_error: 1.0806, scimark_benchmark: 1345.4669, usercpu_time_millis: 650, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, f_measure: 0.9661, kappa: -0.0054, kb_relative_information_score: -747.9777, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9752, prior_entropy: 0.1666, recall: 0.9752, relative_absolute_error: 1.2045, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1636, root_relative_squared_error: 1.1236, scimark_benchmark: 1249.4068, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5678, f_measure: 0.9598, kappa: -0.0184, kb_relative_information_score: -307.1126, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9568, predictive_accuracy: 0.9628, prior_entropy: 0.1666, recall: 0.9628, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1731, root_relative_squared_error: 1.1886, scimark_benchmark: 1354.686, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.9645, kappa: -0.0097, kb_relative_information_score: -314.2382, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.957, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1605, root_relative_squared_error: 1.1023, scimark_benchmark: 898.1296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5755, f_measure: 0.9645, kappa: -0.0097, kb_relative_information_score: -65.2587, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.957, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.9711, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1654, root_relative_squared_error: 1.136, scimark_benchmark: 1316.535, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5755, f_measure: 0.9645, kappa: -0.0097, kb_relative_information_score: -65.2587, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.957, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.9711, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1654, root_relative_squared_error: 1.136, scimark_benchmark: 1360.2771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3454, f_measure: 0.9676, kb_relative_information_score: 7.9599, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1458, root_relative_squared_error: 1.0009, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.9452, kappa: 0.1199, kb_relative_information_score: -644.89, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9644, predictive_accuracy: 0.9288, prior_entropy: 0.1666, recall: 0.9288, relative_absolute_error: 1.5361, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.2275, root_relative_squared_error: 1.5622, scimark_benchmark: 986.8456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, f_measure: 0.9598, kappa: -0.0184, kb_relative_information_score: -94.768, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9568, predictive_accuracy: 0.9628, prior_entropy: 0.1666, recall: 0.9628, relative_absolute_error: 0.8216, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1927, root_relative_squared_error: 1.3235, scimark_benchmark: 986.8456, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.9676, kb_relative_information_score: -1128.2628, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 1.3619, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1471, root_relative_squared_error: 1.0102, scimark_benchmark: 1333.5799, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3454, f_measure: 0.9676, kb_relative_information_score: -84.8627, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1458, root_relative_squared_error: 1.0011, scimark_benchmark: 1342.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9676, kb_relative_information_score: 10.9396, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.9155, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.9998, scimark_benchmark: 1264.6103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3454, f_measure: 0.9676, kb_relative_information_score: -87.844, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 1.0094, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1458, root_relative_squared_error: 1.0011, scimark_benchmark: 1347.3845, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.646, f_measure: 0.9661, kappa: -0.0054, kb_relative_information_score: -18.4463, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9752, prior_entropy: 0.1666, recall: 0.9752, relative_absolute_error: 0.9614, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1558, root_relative_squared_error: 1.0695, scimark_benchmark: 1319.59, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, f_measure: 0.9661, kappa: -0.0054, kb_relative_information_score: -747.9777, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9752, prior_entropy: 0.1666, recall: 0.9752, relative_absolute_error: 1.2045, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1636, root_relative_squared_error: 1.1236, scimark_benchmark: 1342.6563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4033, f_measure: 0.9676, kb_relative_information_score: -334.3106, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1489, root_relative_squared_error: 1.0224, scimark_benchmark: 1464.9318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4905, f_measure: 0.9582, kappa: -0.0204, kb_relative_information_score: -127.0578, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9567, predictive_accuracy: 0.9598, prior_entropy: 0.1666, recall: 0.9598, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.2006, root_relative_squared_error: 1.3775, scimark_benchmark: 1321.7236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3454, f_measure: 0.9676, kb_relative_information_score: 7.9599, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1458, root_relative_squared_error: 1.0009, scimark_benchmark: 1334.3805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.9614, kappa: -0.016, kb_relative_information_score: -368.6479, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9569, predictive_accuracy: 0.9659, prior_entropy: 0.1666, recall: 0.9659, relative_absolute_error: 1.0439, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1748, root_relative_squared_error: 1.2002, scimark_benchmark: 1351.3295, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.9614, kappa: -0.016, kb_relative_information_score: -368.6479, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9569, predictive_accuracy: 0.9659, prior_entropy: 0.1666, recall: 0.9659, relative_absolute_error: 1.0439, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1748, root_relative_squared_error: 1.2002, scimark_benchmark: 1283.2145, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, f_measure: 0.9661, kappa: -0.0054, kb_relative_information_score: -747.9777, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9752, prior_entropy: 0.1666, recall: 0.9752, relative_absolute_error: 1.2045, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1636, root_relative_squared_error: 1.1236, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5518, f_measure: 0.9684, kappa: 0.1687, kb_relative_information_score: -341.0805, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9653, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1595, root_relative_squared_error: 1.0952, scimark_benchmark: 1343.4572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5821, f_measure: 0.9676, kb_relative_information_score: -173.1654, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.9314, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1457, root_relative_squared_error: 1.0005, scimark_benchmark: 1329.0249, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.9676, kb_relative_information_score: -206.9011, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.9697, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.145, root_relative_squared_error: 0.9958, scimark_benchmark: 1313.9606, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9676, kb_relative_information_score: 66.6812, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1472, root_relative_squared_error: 1.0108, scimark_benchmark: 923.988, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.9452, kappa: 0.1199, kb_relative_information_score: -644.89, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9644, predictive_accuracy: 0.9288, prior_entropy: 0.1666, recall: 0.9288, relative_absolute_error: 1.5361, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.2275, root_relative_squared_error: 1.5622, scimark_benchmark: 1363.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5122, f_measure: 0.9541, kappa: 0.0801, kb_relative_information_score: -344.3346, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9613, predictive_accuracy: 0.9474, prior_entropy: 0.1666, recall: 0.9474, relative_absolute_error: 1.1713, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.2153, root_relative_squared_error: 1.4782, scimark_benchmark: 925.4974, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, f_measure: 0.9614, kappa: -0.016, kb_relative_information_score: -292.8162, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9569, predictive_accuracy: 0.9659, prior_entropy: 0.1666, recall: 0.9659, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1718, root_relative_squared_error: 1.1795, scimark_benchmark: 912.7324, usercpu_time_millis: 200, usercpu_time_millis_testing: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6033, f_measure: 0.9614, kappa: -0.016, kb_relative_information_score: -191.8962, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9569, predictive_accuracy: 0.9659, prior_entropy: 0.1666, recall: 0.9659, relative_absolute_error: 0.9118, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1901, root_relative_squared_error: 1.3052, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, f_measure: 0.9598, kappa: -0.0184, kb_relative_information_score: -94.768, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9568, predictive_accuracy: 0.9628, prior_entropy: 0.1666, recall: 0.9628, relative_absolute_error: 0.8216, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1927, root_relative_squared_error: 1.3235, scimark_benchmark: 932.0242, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, f_measure: 0.9303, kappa: 0.127, kb_relative_information_score: -1743.9481, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.967, predictive_accuracy: 0.9009, prior_entropy: 0.1666, recall: 0.9009, relative_absolute_error: 2.852, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.8483, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, f_measure: 0.8996, kappa: 0.0741, kb_relative_information_score: -1289.4922, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9655, predictive_accuracy: 0.8483, prior_entropy: 0.1666, recall: 0.8483, relative_absolute_error: 3.3548, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.3895, root_relative_squared_error: 2.6743, scimark_benchmark: 1321.6263, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.9684, kappa: 0.1687, kb_relative_information_score: -636.5822, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9653, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 1.424, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.165, root_relative_squared_error: 1.1329, scimark_benchmark: 1034.1273, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4358, f_measure: 0.9661, kappa: -0.0054, kb_relative_information_score: -99.1258, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9752, prior_entropy: 0.1666, recall: 0.9752, relative_absolute_error: 0.6525, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1515, root_relative_squared_error: 1.0406, scimark_benchmark: 938.343, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3454, f_measure: 0.9676, kb_relative_information_score: -84.8627, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1458, root_relative_squared_error: 1.0011, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5509, f_measure: 0.9676, kb_relative_information_score: 43.1385, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1477, root_relative_squared_error: 1.0144, scimark_benchmark: 887.6719, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3454, f_measure: 0.9676, kb_relative_information_score: 7.9599, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1458, root_relative_squared_error: 1.0009, scimark_benchmark: 934.1747, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3454, f_measure: 0.9676, kb_relative_information_score: 7.9599, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1458, root_relative_squared_error: 1.0009, scimark_benchmark: 932.0242, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3454, f_measure: 0.9676, kb_relative_information_score: 7.9599, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1458, root_relative_squared_error: 1.0009, scimark_benchmark: 932.0242, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3454, f_measure: 0.9676, kb_relative_information_score: 7.9599, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1458, root_relative_squared_error: 1.0009, scimark_benchmark: 932.0242, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5531, f_measure: 0.9614, kappa: -0.016, kb_relative_information_score: -284.5266, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9569, predictive_accuracy: 0.9659, prior_entropy: 0.1666, recall: 0.9659, relative_absolute_error: 0.9329, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1778, root_relative_squared_error: 1.221, scimark_benchmark: 1299.5783, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5656, f_measure: 0.9598, kappa: -0.0184, kb_relative_information_score: -320.8065, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9568, predictive_accuracy: 0.9628, prior_entropy: 0.1666, recall: 0.9628, relative_absolute_error: 0.9457, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1723, root_relative_squared_error: 1.1832, scimark_benchmark: 942.9518, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6193, f_measure: 0.9645, kappa: -0.0097, kb_relative_information_score: -343.7596, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.957, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1504, root_relative_squared_error: 1.0324, scimark_benchmark: 1313.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5963, f_measure: 0.9676, kb_relative_information_score: -151.6528, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1458, root_relative_squared_error: 1.0008, scimark_benchmark: 1404.1865, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6051, f_measure: 0.9676, kb_relative_information_score: -230.1682, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1462, root_relative_squared_error: 1.0041, scimark_benchmark: 1331.6907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3454, f_measure: 0.9676, kb_relative_information_score: 7.9599, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1458, root_relative_squared_error: 1.0009, scimark_benchmark: 869.6028, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5484, f_measure: 0.9665, kappa: 0.1513, kb_relative_information_score: -193.695, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9642, predictive_accuracy: 0.969, prior_entropy: 0.1666, recall: 0.969, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1673, root_relative_squared_error: 1.149, scimark_benchmark: 1372.2145, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5698, f_measure: 0.9665, kappa: 0.1513, kb_relative_information_score: -194.2763, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9642, predictive_accuracy: 0.969, prior_entropy: 0.1666, recall: 0.969, relative_absolute_error: 0.7765, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1606, root_relative_squared_error: 1.1026, scimark_benchmark: 1280.6952, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5793, f_measure: 0.9684, kappa: 0.1687, kb_relative_information_score: -192.5731, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9653, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.7822, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1598, root_relative_squared_error: 1.0974, scimark_benchmark: 935.5075, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5396, f_measure: 0.9704, kappa: 0.1895, kb_relative_information_score: -182.9361, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9672, predictive_accuracy: 0.9752, prior_entropy: 0.1666, recall: 0.9752, relative_absolute_error: 0.738, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1522, root_relative_squared_error: 1.0451, scimark_benchmark: 939.5088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5486, f_measure: 0.9684, kappa: 0.1687, kb_relative_information_score: -302.0377, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9653, predictive_accuracy: 0.9721, prior_entropy: 0.1666, recall: 0.9721, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1533, root_relative_squared_error: 1.0523, scimark_benchmark: 1333.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.9676, kb_relative_information_score: -400.1197, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1489, root_relative_squared_error: 1.0223, scimark_benchmark: 825.5282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, f_measure: 0.9676, kb_relative_information_score: -408.688, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.8591, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1593, root_relative_squared_error: 1.094, scimark_benchmark: 1324.8395, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5477, f_measure: 0.9472, kappa: 0.0586, kb_relative_information_score: -385.3766, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9606, predictive_accuracy: 0.935, prior_entropy: 0.1666, recall: 0.935, relative_absolute_error: 1.4378, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.255, root_relative_squared_error: 1.7508, scimark_benchmark: 869.6028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9676, kb_relative_information_score: 66.6812, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1472, root_relative_squared_error: 1.0108, scimark_benchmark: 940.3347, usercpu_time_millis: 40, usercpu_time_millis_training: 40,

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

estimation_procedure 10-fold Crossvalidation
evaluation_measures predictive_accuracy
source_data solar-flare (1)
target_feature X-class_flares_production_by_this_region

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