Task
Supervised Classification on eye_movements

Supervised Classification on eye_movements

Task 3897 Supervised Classification eye_movements 287 runs submitted
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  • study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2186, kb_relative_information_score: 1396.9235, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.1519, predictive_accuracy: 0.3897, prior_entropy: 1.5663, recall: 0.3897, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6379, root_relative_squared_error: 1.3617, scimark_benchmark: 941.9549, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.6836, kappa: 0.5172, kb_relative_information_score: 5680.9339, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6847, predictive_accuracy: 0.6832, prior_entropy: 1.5663, recall: 0.6832, relative_absolute_error: 0.5485, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.8051, scimark_benchmark: 942.6192, usercpu_time_millis: 6720, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 6390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.7429, kappa: 0.6091, kb_relative_information_score: 5607.0487, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7431, predictive_accuracy: 0.743, prior_entropy: 1.5663, recall: 0.743, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7551, scimark_benchmark: 907.1091, usercpu_time_millis: 356030, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 355730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6346, f_measure: 0.3587, kappa: 0.1551, kb_relative_information_score: 1132.1131, mean_absolute_error: 0.4173, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.3745, predictive_accuracy: 0.4541, prior_entropy: 1.5663, recall: 0.4541, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9663, scimark_benchmark: 933.0918, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.5906, kappa: 0.3753, kb_relative_information_score: 3984.6376, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5917, predictive_accuracy: 0.5901, prior_entropy: 1.5663, recall: 0.5901, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.9465, scimark_benchmark: 923.509, usercpu_time_millis: 440, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.5335, kappa: 0.2919, kb_relative_information_score: 2485.999, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5474, predictive_accuracy: 0.5384, prior_entropy: 1.5663, recall: 0.5384, relative_absolute_error: 0.8503, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.43, root_relative_squared_error: 0.9179, scimark_benchmark: 903.4813, usercpu_time_millis: 7570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2186, kb_relative_information_score: 1396.9235, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.1519, predictive_accuracy: 0.3897, prior_entropy: 1.5663, recall: 0.3897, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6379, root_relative_squared_error: 1.3617, scimark_benchmark: 939.3886, usercpu_time_millis: 207500, usercpu_time_millis_testing: 28400, usercpu_time_millis_training: 179100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.5485, kappa: 0.3121, kb_relative_information_score: 3226.0416, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5492, predictive_accuracy: 0.5481, prior_entropy: 1.5663, recall: 0.5481, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.911, scimark_benchmark: 945.0194, usercpu_time_millis: 310, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.5485, kappa: 0.3121, kb_relative_information_score: 3226.0416, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5492, predictive_accuracy: 0.5481, prior_entropy: 1.5663, recall: 0.5481, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.911, scimark_benchmark: 938.838, usercpu_time_millis: 360, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.5485, kappa: 0.3121, kb_relative_information_score: 3226.0416, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5492, predictive_accuracy: 0.5481, prior_entropy: 1.5663, recall: 0.5481, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.911, scimark_benchmark: 945.0194, usercpu_time_millis: 320, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.5485, kappa: 0.3121, kb_relative_information_score: 3226.0416, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5492, predictive_accuracy: 0.5481, prior_entropy: 1.5663, recall: 0.5481, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.911, scimark_benchmark: 922.5036, usercpu_time_millis: 300, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.6345, kappa: 0.4424, kb_relative_information_score: 3761.2255, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6358, predictive_accuracy: 0.6341, prior_entropy: 1.5663, recall: 0.6341, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8494, scimark_benchmark: 935.627, usercpu_time_millis: 3850, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 3800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.5485, kappa: 0.3121, kb_relative_information_score: 3226.0416, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5492, predictive_accuracy: 0.5481, prior_entropy: 1.5663, recall: 0.5481, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.911, scimark_benchmark: 949.7766, usercpu_time_millis: 330, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.638, kappa: 0.4509, kb_relative_information_score: 4651.7556, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6378, predictive_accuracy: 0.6383, prior_entropy: 1.5663, recall: 0.6383, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8484, scimark_benchmark: 942.3809, usercpu_time_millis: 25230, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 25100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.7115, kappa: 0.5576, kb_relative_information_score: 3847.9757, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7149, predictive_accuracy: 0.7104, prior_entropy: 1.5663, recall: 0.7104, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.8122, scimark_benchmark: 879.4299, usercpu_time_millis: 12770, usercpu_time_millis_testing: 1320, usercpu_time_millis_training: 11450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.5906, kappa: 0.3753, kb_relative_information_score: 3984.6376, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5917, predictive_accuracy: 0.5901, prior_entropy: 1.5663, recall: 0.5901, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.9465, scimark_benchmark: 946.9304, usercpu_time_millis: 380, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2186, kb_relative_information_score: 1396.9235, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.1519, predictive_accuracy: 0.3897, prior_entropy: 1.5663, recall: 0.3897, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6379, root_relative_squared_error: 1.3617, scimark_benchmark: 1343.0374, usercpu_time_millis: 312800, usercpu_time_millis_testing: 60460, usercpu_time_millis_training: 252340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2186, kb_relative_information_score: 1396.9235, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.1519, predictive_accuracy: 0.3897, prior_entropy: 1.5663, recall: 0.3897, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6379, root_relative_squared_error: 1.3617, scimark_benchmark: 906.4475, usercpu_time_millis: 204310, usercpu_time_millis_testing: 32710, usercpu_time_millis_training: 171600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.5343, kappa: 0.295, kb_relative_information_score: 3144.037, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5341, predictive_accuracy: 0.5348, prior_entropy: 1.5663, recall: 0.5348, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.9381, scimark_benchmark: 1292.514, usercpu_time_millis: 180, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.5485, kappa: 0.3121, kb_relative_information_score: 3226.0416, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5492, predictive_accuracy: 0.5481, prior_entropy: 1.5663, recall: 0.5481, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.911, scimark_benchmark: 1332.1612, usercpu_time_millis: 220, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.5343, kappa: 0.295, kb_relative_information_score: 3144.037, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5341, predictive_accuracy: 0.5348, prior_entropy: 1.5663, recall: 0.5348, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.9381, scimark_benchmark: 1325.8468, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.5485, kappa: 0.3121, kb_relative_information_score: 3226.0416, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5492, predictive_accuracy: 0.5481, prior_entropy: 1.5663, recall: 0.5481, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.911, scimark_benchmark: 1322.5413, usercpu_time_millis: 230, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.638, kappa: 0.4509, kb_relative_information_score: 4651.7556, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6378, predictive_accuracy: 0.6383, prior_entropy: 1.5663, recall: 0.6383, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8484, scimark_benchmark: 1322.5413, usercpu_time_millis: 32230, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 31880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.5485, kappa: 0.3121, kb_relative_information_score: 3226.0416, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5492, predictive_accuracy: 0.5481, prior_entropy: 1.5663, recall: 0.5481, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.911, scimark_benchmark: 1325.7874, usercpu_time_millis: 180, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.5906, kappa: 0.3753, kb_relative_information_score: 3984.6376, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5917, predictive_accuracy: 0.5901, prior_entropy: 1.5663, recall: 0.5901, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.9465, scimark_benchmark: 1340.9446, usercpu_time_millis: 300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.5485, kappa: 0.3121, kb_relative_information_score: 3226.0416, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5492, predictive_accuracy: 0.5481, prior_entropy: 1.5663, recall: 0.5481, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.911, scimark_benchmark: 1313.8988, usercpu_time_millis: 220, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.6345, kappa: 0.4424, kb_relative_information_score: 3761.2255, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6358, predictive_accuracy: 0.6341, prior_entropy: 1.5663, recall: 0.6341, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8494, scimark_benchmark: 1313.8988, usercpu_time_millis: 4630, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.5485, kappa: 0.3121, kb_relative_information_score: 3226.0416, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5492, predictive_accuracy: 0.5481, prior_entropy: 1.5663, recall: 0.5481, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.911, scimark_benchmark: 1362.9924, usercpu_time_millis: 190, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.5485, kappa: 0.3121, kb_relative_information_score: 3226.0416, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5492, predictive_accuracy: 0.5481, prior_entropy: 1.5663, recall: 0.5481, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.911, scimark_benchmark: 1324.7884, usercpu_time_millis: 240, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.5485, kappa: 0.3121, kb_relative_information_score: 3226.0416, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5492, predictive_accuracy: 0.5481, prior_entropy: 1.5663, recall: 0.5481, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.911, scimark_benchmark: 1362.9924, usercpu_time_millis: 190, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.5343, kappa: 0.295, kb_relative_information_score: 3144.037, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5341, predictive_accuracy: 0.5348, prior_entropy: 1.5663, recall: 0.5348, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.9381, scimark_benchmark: 1340.5125, usercpu_time_millis: 190, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.5343, kappa: 0.295, kb_relative_information_score: 3144.037, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5341, predictive_accuracy: 0.5348, prior_entropy: 1.5663, recall: 0.5348, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.9381, scimark_benchmark: 930.5999, usercpu_time_millis: 220, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.5485, kappa: 0.3121, kb_relative_information_score: 3226.0416, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5492, predictive_accuracy: 0.5481, prior_entropy: 1.5663, recall: 0.5481, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.911, scimark_benchmark: 1375.1578, usercpu_time_millis: 180, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.5485, kappa: 0.3121, kb_relative_information_score: 3226.0416, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5492, predictive_accuracy: 0.5481, prior_entropy: 1.5663, recall: 0.5481, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.911, scimark_benchmark: 930.5999, usercpu_time_millis: 310, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 150,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.5485, kappa: 0.3121, kb_relative_information_score: 3226.0416, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5492, predictive_accuracy: 0.5481, prior_entropy: 1.5663, recall: 0.5481, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.911, scimark_benchmark: 1288.1375, usercpu_time_millis: 240, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.5343, kappa: 0.295, kb_relative_information_score: 3144.037, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5341, predictive_accuracy: 0.5348, prior_entropy: 1.5663, recall: 0.5348, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.9381, scimark_benchmark: 1312.2688, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.5485, kappa: 0.3121, kb_relative_information_score: 3226.0416, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5492, predictive_accuracy: 0.5481, prior_entropy: 1.5663, recall: 0.5481, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.911, scimark_benchmark: 1347.917, usercpu_time_millis: 200, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.6345, kappa: 0.4424, kb_relative_information_score: 3761.2255, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6358, predictive_accuracy: 0.6341, prior_entropy: 1.5663, recall: 0.6341, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8494, scimark_benchmark: 1345.7204, usercpu_time_millis: 2870, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.5485, kappa: 0.3121, kb_relative_information_score: 3226.0416, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5492, predictive_accuracy: 0.5481, prior_entropy: 1.5663, recall: 0.5481, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.911, scimark_benchmark: 933.1165, usercpu_time_millis: 570, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.5485, kappa: 0.3121, kb_relative_information_score: 3226.0416, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5492, predictive_accuracy: 0.5481, prior_entropy: 1.5663, recall: 0.5481, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.911, scimark_benchmark: 1380.2233, usercpu_time_millis: 190, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.684, kappa: 0.5171, kb_relative_information_score: 3793.5646, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6868, predictive_accuracy: 0.6836, prior_entropy: 1.5663, recall: 0.6836, relative_absolute_error: 0.7437, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.826, scimark_benchmark: 1334.6745, usercpu_time_millis: 50490, usercpu_time_millis_testing: 1350, usercpu_time_millis_training: 49140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7781, f_measure: 0.604, kappa: 0.3903, kb_relative_information_score: 4870.6904, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6107, predictive_accuracy: 0.6022, prior_entropy: 1.5663, recall: 0.6022, relative_absolute_error: 0.6096, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0191, scimark_benchmark: 1340.1351, usercpu_time_millis: 2720940, usercpu_time_millis_testing: 2720940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.5335, kappa: 0.2919, kb_relative_information_score: 2485.999, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5474, predictive_accuracy: 0.5384, prior_entropy: 1.5663, recall: 0.5384, relative_absolute_error: 0.8503, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.43, root_relative_squared_error: 0.9179, scimark_benchmark: 1311.9814, usercpu_time_millis: 5980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.7217, kappa: 0.5722, kb_relative_information_score: 3146.0492, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7282, predictive_accuracy: 0.7207, prior_entropy: 1.5663, recall: 0.7207, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.8416, scimark_benchmark: 1352.2099, usercpu_time_millis: 16420, usercpu_time_millis_testing: 880, usercpu_time_millis_training: 15540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.5906, kappa: 0.3753, kb_relative_information_score: 3984.6376, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5917, predictive_accuracy: 0.5901, prior_entropy: 1.5663, recall: 0.5901, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.9465, scimark_benchmark: 1349.1028, usercpu_time_millis: 340, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7651, f_measure: 0.6599, kappa: 0.4835, kb_relative_information_score: 5632.1288, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6598, predictive_accuracy: 0.6599, prior_entropy: 1.5663, recall: 0.6599, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9603, scimark_benchmark: 1322.4968, usercpu_time_millis: 2310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.5912, kappa: 0.3749, kb_relative_information_score: 3344.4965, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5931, predictive_accuracy: 0.5902, prior_entropy: 1.5663, recall: 0.5902, relative_absolute_error: 0.7763, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.8807, scimark_benchmark: 1264.0609, usercpu_time_millis: 27730, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 27720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.5906, kappa: 0.3753, kb_relative_information_score: 3984.6376, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5917, predictive_accuracy: 0.5901, prior_entropy: 1.5663, recall: 0.5901, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.9465, scimark_benchmark: 1314.7093, usercpu_time_millis: 300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.5526, kappa: 0.313, kb_relative_information_score: 2679.6264, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5572, predictive_accuracy: 0.5512, prior_entropy: 1.5663, recall: 0.5512, relative_absolute_error: 0.8315, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.9058, scimark_benchmark: 854.5188, usercpu_time_millis: 3300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.614, f_measure: 0.4752, kappa: 0.2004, kb_relative_information_score: 2785.5148, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4757, predictive_accuracy: 0.4749, prior_entropy: 1.5663, recall: 0.4749, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5337, root_relative_squared_error: 1.1393, scimark_benchmark: 1371.9645, usercpu_time_millis: 1610, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.516, kappa: 0.2817, kb_relative_information_score: 3637.1178, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.523, predictive_accuracy: 0.5201, prior_entropy: 1.5663, recall: 0.5201, relative_absolute_error: 0.74, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4915, root_relative_squared_error: 1.0493, scimark_benchmark: 1413.089, usercpu_time_millis: 27870, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 27770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6445, f_measure: 0.4089, kappa: 0.1874, kb_relative_information_score: 1306.5353, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4501, predictive_accuracy: 0.4447, prior_entropy: 1.5663, recall: 0.4447, relative_absolute_error: 0.9477, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9735, scimark_benchmark: 896.937, usercpu_time_millis: 801020, usercpu_time_millis_testing: 801020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.6234, kappa: 0.4261, kb_relative_information_score: 5238.0122, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.624, predictive_accuracy: 0.623, prior_entropy: 1.5663, recall: 0.623, relative_absolute_error: 0.5727, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0703, scimark_benchmark: 1296.8947, usercpu_time_millis: 78700, usercpu_time_millis_testing: 78700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.2186, kb_relative_information_score: 0.1779, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.1519, predictive_accuracy: 0.3897, prior_entropy: 1.5663, recall: 0.3897, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4684, root_relative_squared_error: 1, scimark_benchmark: 898.1296, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.5633, kappa: 0.3293, kb_relative_information_score: 4291.4471, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5678, predictive_accuracy: 0.5617, prior_entropy: 1.5663, recall: 0.5617, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5405, root_relative_squared_error: 1.154, scimark_benchmark: 1327.9121, usercpu_time_millis: 337440, usercpu_time_millis_testing: 4950, usercpu_time_millis_training: 332490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6194, f_measure: 0.3698, kappa: 0.1893, kb_relative_information_score: 1499.1246, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4419, predictive_accuracy: 0.4365, prior_entropy: 1.5663, recall: 0.4365, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.969, scimark_benchmark: 1301.7387, usercpu_time_millis: 2410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.5428, kappa: 0.2946, kb_relative_information_score: 2541.7631, mean_absolute_error: 0.367, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5778, predictive_accuracy: 0.5463, prior_entropy: 1.5663, recall: 0.5463, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.9273, scimark_benchmark: 896.937, usercpu_time_millis: 6630, usercpu_time_millis_training: 6630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.6077, kappa: 0.4005, kb_relative_information_score: 4485.5547, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6103, predictive_accuracy: 0.6074, prior_entropy: 1.5663, recall: 0.6074, relative_absolute_error: 0.6582, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9752, scimark_benchmark: 1301.2156, usercpu_time_millis: 13550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 13540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.7049, kappa: 0.5465, kb_relative_information_score: 3131.3595, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7116, predictive_accuracy: 0.704, prior_entropy: 1.5663, recall: 0.704, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8448, scimark_benchmark: 1318.5627, usercpu_time_millis: 8350, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 7780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.5675, kappa: 0.3374, kb_relative_information_score: 2939.4716, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5704, predictive_accuracy: 0.5662, prior_entropy: 1.5663, recall: 0.5662, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8964, scimark_benchmark: 1310.6407, usercpu_time_millis: 5610, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.614, f_measure: 0.4752, kappa: 0.2004, kb_relative_information_score: 2785.5148, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4757, predictive_accuracy: 0.4749, prior_entropy: 1.5663, recall: 0.4749, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5337, root_relative_squared_error: 1.1393, scimark_benchmark: 1341.6075, usercpu_time_millis: 1330, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.5906, kappa: 0.3753, kb_relative_information_score: 3984.6376, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5917, predictive_accuracy: 0.5901, prior_entropy: 1.5663, recall: 0.5901, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.9465, scimark_benchmark: 1386.5717, usercpu_time_millis: 380, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6261, f_measure: 0.4299, kappa: 0.1437, kb_relative_information_score: 2228.2777, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.4461, predictive_accuracy: 0.4413, prior_entropy: 1.5663, recall: 0.4413, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.496, root_relative_squared_error: 1.0589, scimark_benchmark: 1326.014, usercpu_time_millis: 240, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.682, f_measure: 0.5071, kappa: 0.2481, kb_relative_information_score: 1761.7828, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.5081, predictive_accuracy: 0.5064, prior_entropy: 1.5663, recall: 0.5064, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9443, scimark_benchmark: 1380.0066, usercpu_time_millis: 380, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 360,

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

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From your own software

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

OpenML APIs