Task
Supervised Classification on squash-stored

Supervised Classification on squash-stored

Task 3499 Supervised Classification squash-stored 380 runs submitted
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  • study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.5096, kappa: 0.2188, kb_relative_information_score: 16.2374, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5039, predictive_accuracy: 0.5192, prior_entropy: 1.4782, recall: 0.5192, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.09, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.5096, kappa: 0.2188, kb_relative_information_score: 16.2374, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5039, predictive_accuracy: 0.5192, prior_entropy: 1.4782, recall: 0.5192, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.09, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.5096, kappa: 0.2188, kb_relative_information_score: 16.2374, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5039, predictive_accuracy: 0.5192, prior_entropy: 1.4782, recall: 0.5192, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.09, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.5096, kappa: 0.2188, kb_relative_information_score: 16.2374, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5039, predictive_accuracy: 0.5192, prior_entropy: 1.4782, recall: 0.5192, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.09, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2713, kb_relative_information_score: 6.7506, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.1956, predictive_accuracy: 0.4423, prior_entropy: 1.4782, recall: 0.4423, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.6098, root_relative_squared_error: 1.3437, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.6254, kappa: 0.4205, kb_relative_information_score: 20.4924, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6295, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0517, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.5096, kappa: 0.2188, kb_relative_information_score: 16.2374, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5039, predictive_accuracy: 0.5192, prior_entropy: 1.4782, recall: 0.5192, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.09, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4837, f_measure: 0.3804, kappa: -0.0122, kb_relative_information_score: 3.0351, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.3776, predictive_accuracy: 0.3846, prior_entropy: 1.4782, recall: 0.3846, relative_absolute_error: 1.0138, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5178, root_relative_squared_error: 1.141, scimark_benchmark: 1366.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.6324, kappa: 0.392, kb_relative_information_score: 15.0764, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.643, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8855, scimark_benchmark: 1310.6554, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.6254, kappa: 0.4205, kb_relative_information_score: 20.4924, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6295, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0517, scimark_benchmark: 1351.1238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.5096, kappa: 0.2188, kb_relative_information_score: 16.2374, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5039, predictive_accuracy: 0.5192, prior_entropy: 1.4782, recall: 0.5192, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.09, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.5096, kappa: 0.2188, kb_relative_information_score: 16.2374, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5039, predictive_accuracy: 0.5192, prior_entropy: 1.4782, recall: 0.5192, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.09, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.5096, kappa: 0.2188, kb_relative_information_score: 16.2374, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5039, predictive_accuracy: 0.5192, prior_entropy: 1.4782, recall: 0.5192, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.09, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.5096, kappa: 0.2188, kb_relative_information_score: 16.2374, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5039, predictive_accuracy: 0.5192, prior_entropy: 1.4782, recall: 0.5192, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.09, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.5096, kappa: 0.2188, kb_relative_information_score: 16.2374, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5039, predictive_accuracy: 0.5192, prior_entropy: 1.4782, recall: 0.5192, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.09, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.6324, kappa: 0.392, kb_relative_information_score: 15.0764, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.643, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8855, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.5927, kappa: 0.3751, kb_relative_information_score: 18.1791, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5646, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.9683, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.6254, kappa: 0.4205, kb_relative_information_score: 20.4924, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6295, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0517, scimark_benchmark: 1327.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.5096, kappa: 0.2188, kb_relative_information_score: 16.2374, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5039, predictive_accuracy: 0.5192, prior_entropy: 1.4782, recall: 0.5192, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.09, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4837, f_measure: 0.3804, kappa: -0.0122, kb_relative_information_score: 3.0351, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.3776, predictive_accuracy: 0.3846, prior_entropy: 1.4782, recall: 0.3846, relative_absolute_error: 1.0138, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5178, root_relative_squared_error: 1.141, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.6549, kappa: 0.4358, kb_relative_information_score: 23.4908, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.658, predictive_accuracy: 0.6538, prior_entropy: 1.4782, recall: 0.6538, relative_absolute_error: 0.6071, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.9467, scimark_benchmark: 1342.2845, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.6324, kappa: 0.392, kb_relative_information_score: 15.0764, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.643, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8855, scimark_benchmark: 1336.5541, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.5927, kappa: 0.3751, kb_relative_information_score: 18.1791, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5646, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.9683, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.7183, kappa: 0.5514, kb_relative_information_score: 28.3333, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.719, predictive_accuracy: 0.7308, prior_entropy: 1.4782, recall: 0.7308, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.785, scimark_benchmark: 1339.3082, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2713, kb_relative_information_score: 6.7506, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.1956, predictive_accuracy: 0.4423, prior_entropy: 1.4782, recall: 0.4423, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.6098, root_relative_squared_error: 1.3437, scimark_benchmark: 1352.9101, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.5096, kappa: 0.2188, kb_relative_information_score: 16.2374, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5039, predictive_accuracy: 0.5192, prior_entropy: 1.4782, recall: 0.5192, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.09, scimark_benchmark: 1352.9931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.5096, kappa: 0.2188, kb_relative_information_score: 16.2374, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5039, predictive_accuracy: 0.5192, prior_entropy: 1.4782, recall: 0.5192, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.09, scimark_benchmark: 1325.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.5096, kappa: 0.2188, kb_relative_information_score: 16.2374, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5039, predictive_accuracy: 0.5192, prior_entropy: 1.4782, recall: 0.5192, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.09, scimark_benchmark: 1347.7267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.5096, kappa: 0.2188, kb_relative_information_score: 16.2374, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5039, predictive_accuracy: 0.5192, prior_entropy: 1.4782, recall: 0.5192, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.09, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.6324, kappa: 0.392, kb_relative_information_score: 15.0764, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.643, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8855, scimark_benchmark: 1325.6322, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.5927, kappa: 0.3751, kb_relative_information_score: 18.1791, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5646, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.9683, scimark_benchmark: 1351.1238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2713, kb_relative_information_score: 6.7506, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.1956, predictive_accuracy: 0.4423, prior_entropy: 1.4782, recall: 0.4423, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.6098, root_relative_squared_error: 1.3437, scimark_benchmark: 1319.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.5096, kappa: 0.2188, kb_relative_information_score: 16.2374, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5039, predictive_accuracy: 0.5192, prior_entropy: 1.4782, recall: 0.5192, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.09, scimark_benchmark: 1352.3373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.6549, kappa: 0.4358, kb_relative_information_score: 23.4908, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.658, predictive_accuracy: 0.6538, prior_entropy: 1.4782, recall: 0.6538, relative_absolute_error: 0.6071, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.9467, scimark_benchmark: 1397.3209, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2713, kb_relative_information_score: 6.7506, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.1956, predictive_accuracy: 0.4423, prior_entropy: 1.4782, recall: 0.4423, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.6098, root_relative_squared_error: 1.3437, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.6254, kappa: 0.4205, kb_relative_information_score: 20.4924, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6295, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0517, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.6254, kappa: 0.4205, kb_relative_information_score: 20.4924, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6295, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0517, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.5096, kappa: 0.2188, kb_relative_information_score: 16.2374, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5039, predictive_accuracy: 0.5192, prior_entropy: 1.4782, recall: 0.5192, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.09, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.5096, kappa: 0.2188, kb_relative_information_score: 16.2374, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5039, predictive_accuracy: 0.5192, prior_entropy: 1.4782, recall: 0.5192, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.09, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.6324, kappa: 0.392, kb_relative_information_score: 15.0764, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.643, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8855, scimark_benchmark: 942.9708, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, f_measure: 0.5162, kappa: 0.2387, kb_relative_information_score: 11.0874, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.4804, predictive_accuracy: 0.5577, prior_entropy: 1.4782, recall: 0.5577, relative_absolute_error: 0.8695, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.41, root_relative_squared_error: 0.9036, scimark_benchmark: 1333.5799, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7426, f_measure: 0.5982, kappa: 0.3492, kb_relative_information_score: 21.7055, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6088, predictive_accuracy: 0.5962, prior_entropy: 1.4782, recall: 0.5962, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0954, scimark_benchmark: 1323.237, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6196, f_measure: 0.4611, kappa: 0.1525, kb_relative_information_score: 6.9293, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.464, predictive_accuracy: 0.5192, prior_entropy: 1.4782, recall: 0.5192, relative_absolute_error: 0.8889, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4548, root_relative_squared_error: 1.0022, scimark_benchmark: 1329.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.652, kappa: 0.4344, kb_relative_information_score: 21.7892, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6512, predictive_accuracy: 0.6538, prior_entropy: 1.4782, recall: 0.6538, relative_absolute_error: 0.6419, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9991, scimark_benchmark: 1355.9413, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.6823, kappa: 0.4914, kb_relative_information_score: 24.9289, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6809, predictive_accuracy: 0.6923, prior_entropy: 1.4782, recall: 0.6923, relative_absolute_error: 0.5669, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.8439, scimark_benchmark: 918.6005, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.6454, kappa: 0.4186, kb_relative_information_score: 20.9948, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6603, predictive_accuracy: 0.6538, prior_entropy: 1.4782, recall: 0.6538, relative_absolute_error: 0.6502, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.976, scimark_benchmark: 1307.7326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.5908, kappa: 0.3217, kb_relative_information_score: 21.4156, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6083, predictive_accuracy: 0.5962, prior_entropy: 1.4782, recall: 0.5962, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.99, scimark_benchmark: 899.5042, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7203, f_measure: 0.5821, kappa: 0.3355, kb_relative_information_score: 8.8673, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6647, predictive_accuracy: 0.6154, prior_entropy: 1.4782, recall: 0.6154, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.9316, scimark_benchmark: 1345.8373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, f_measure: 0.6345, kappa: 0.3935, kb_relative_information_score: 21.9959, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6462, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.9435, scimark_benchmark: 882.7843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.467, f_measure: 0.368, kappa: -0.031, kb_relative_information_score: 2.5975, mean_absolute_error: 0.421, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.3528, predictive_accuracy: 0.3846, prior_entropy: 1.4782, recall: 0.3846, relative_absolute_error: 1.018, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5086, root_relative_squared_error: 1.1208, scimark_benchmark: 1367.8403, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4633, f_measure: 0.3551, kappa: -0.0521, kb_relative_information_score: 1.8071, mean_absolute_error: 0.427, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.3462, predictive_accuracy: 0.3654, prior_entropy: 1.4782, recall: 0.3654, relative_absolute_error: 1.0326, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.521, root_relative_squared_error: 1.1482, scimark_benchmark: 1332.2926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.7165, kappa: 0.5346, kb_relative_information_score: 27.381, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.7274, predictive_accuracy: 0.7115, prior_entropy: 1.4782, recall: 0.7115, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.426, root_relative_squared_error: 0.9388, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.4686, kappa: 0.1746, kb_relative_information_score: 12.0192, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.4747, predictive_accuracy: 0.4808, prior_entropy: 1.4782, recall: 0.4808, relative_absolute_error: 0.8328, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5234, root_relative_squared_error: 1.1533, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.604, kappa: 0.3747, kb_relative_information_score: 3.6971, mean_absolute_error: 0.4126, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6167, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.441, root_relative_squared_error: 0.9717, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.5276, kappa: 0.2949, kb_relative_information_score: 17.098, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.5582, predictive_accuracy: 0.5385, prior_entropy: 1.4782, recall: 0.5385, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.5238, root_relative_squared_error: 1.1543, scimark_benchmark: 1321.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.5908, kappa: 0.3217, kb_relative_information_score: 21.4156, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6083, predictive_accuracy: 0.5962, prior_entropy: 1.4782, recall: 0.5962, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.99, scimark_benchmark: 1368.9272, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7346, f_measure: 0.5265, kappa: 0.2638, kb_relative_information_score: 8.3785, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.4852, predictive_accuracy: 0.5769, prior_entropy: 1.4782, recall: 0.5769, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.9273, scimark_benchmark: 938.343, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.5265, kappa: 0.2638, kb_relative_information_score: 8.3031, mean_absolute_error: 0.3746, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.4852, predictive_accuracy: 0.5769, prior_entropy: 1.4782, recall: 0.5769, relative_absolute_error: 0.9059, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.9304, scimark_benchmark: 1363.454, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7684, f_measure: 0.6156, kappa: 0.3798, kb_relative_information_score: 11.6146, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.4135, number_of_instances: 52, precision: 0.6347, predictive_accuracy: 0.6346, prior_entropy: 1.4782, recall: 0.6346, relative_absolute_error: 0.8582, root_mean_prior_squared_error: 0.4538, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8996, scimark_benchmark: 880.8372, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs