Task
Supervised Classification on quake

Supervised Classification on quake

Task 3811 Supervised Classification quake 584 runs submitted
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  • mythbusting_1 study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, f_measure: 0.5318, kappa: 0.0563, kb_relative_information_score: 6.4707, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5364, predictive_accuracy: 0.5482, prior_entropy: 0.9912, recall: 0.5482, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.015, scimark_benchmark: 1328.1545, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0087, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0087, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5081, kappa: 0.0018, kb_relative_information_score: -7.6237, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.507, predictive_accuracy: 0.5161, prior_entropy: 0.9912, recall: 0.5161, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.524, root_relative_squared_error: 1.0544, scimark_benchmark: 1345.7204, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0268, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0087, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0087, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0087, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0268, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0087, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5236, f_measure: 0.5254, kappa: 0.0364, kb_relative_information_score: 37.8911, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5243, predictive_accuracy: 0.5308, prior_entropy: 0.9912, recall: 0.5308, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5328, root_relative_squared_error: 1.0722, scimark_benchmark: 1311.9814, usercpu_time_millis: 1280, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0087, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0087, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1335.643, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0268, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1064.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0087, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1151.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0268, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1355.2525, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, f_measure: 0.5273, kappa: 0.0497, kb_relative_information_score: -10.8356, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5333, predictive_accuracy: 0.5464, prior_entropy: 0.9912, recall: 0.5464, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0052, scimark_benchmark: 1345.3152, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0268, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, f_measure: 0.5273, kappa: 0.0497, kb_relative_information_score: -10.8356, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5333, predictive_accuracy: 0.5464, prior_entropy: 0.9912, recall: 0.5464, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0052, scimark_benchmark: 1309.4998, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, f_measure: 0.5318, kappa: 0.0563, kb_relative_information_score: 6.4707, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5364, predictive_accuracy: 0.5482, prior_entropy: 0.9912, recall: 0.5482, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.015, scimark_benchmark: 1311.9814, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0268, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5042, f_measure: 0.487, kappa: 0.0089, kb_relative_information_score: 134.3987, mean_absolute_error: 0.461, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5125, predictive_accuracy: 0.539, prior_entropy: 0.9912, recall: 0.539, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.679, root_relative_squared_error: 1.3662, scimark_benchmark: 943.1756, usercpu_time_millis: 900, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0268, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, f_measure: 0.5273, kappa: 0.0497, kb_relative_information_score: -10.8356, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5333, predictive_accuracy: 0.5464, prior_entropy: 0.9912, recall: 0.5464, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0052, scimark_benchmark: 1342.4239, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5325, f_measure: 0.5341, kappa: 0.0599, kb_relative_information_score: 101.6208, mean_absolute_error: 0.4685, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5358, predictive_accuracy: 0.5331, prior_entropy: 0.9912, recall: 0.5331, relative_absolute_error: 0.9485, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6754, root_relative_squared_error: 1.3591, scimark_benchmark: 1337.8643, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5292, f_measure: 0.4398, kappa: 0.0128, kb_relative_information_score: 8.6206, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5305, predictive_accuracy: 0.5546, prior_entropy: 0.9912, recall: 0.5546, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9989, scimark_benchmark: 937.6212, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0087, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0268, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1151.3336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.515, f_measure: 0.5156, kappa: 0.0206, kb_relative_information_score: 17.668, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5169, predictive_accuracy: 0.5289, prior_entropy: 0.9912, recall: 0.5289, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5122, root_relative_squared_error: 1.0307, scimark_benchmark: 896.937, usercpu_time_millis: 400, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0087, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1334.2813, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, f_measure: 0.4426, kappa: 0.0057, kb_relative_information_score: 1.3127, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5152, predictive_accuracy: 0.55, prior_entropy: 0.9912, recall: 0.55, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0008, scimark_benchmark: 1316.7714, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0268, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1346.4887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5224, f_measure: 0.4506, kappa: 0.0183, kb_relative_information_score: 7.1484, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5345, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9996, scimark_benchmark: 1311.9814, usercpu_time_millis: 1030, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5192, f_measure: 0.515, kappa: 0.0198, kb_relative_information_score: 13.2262, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5165, predictive_accuracy: 0.5289, prior_entropy: 0.9912, recall: 0.5289, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.0215, scimark_benchmark: 1319.4881, usercpu_time_millis: 29410, usercpu_time_millis_testing: 29410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5137, f_measure: 0.4924, kappa: 0.0292, kb_relative_information_score: 185.2843, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5289, predictive_accuracy: 0.5505, prior_entropy: 0.9912, recall: 0.5505, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6704, root_relative_squared_error: 1.3491, scimark_benchmark: 1316.7714, usercpu_time_millis: 520, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, f_measure: 0.4006, kappa: 0.0021, kb_relative_information_score: 3.6301, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5556, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0017, scimark_benchmark: 943.1756, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5405, f_measure: 0.5126, kappa: 0.0471, kb_relative_information_score: 26.3409, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5373, predictive_accuracy: 0.5542, prior_entropy: 0.9912, recall: 0.5542, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.0018, scimark_benchmark: 1334.4761, usercpu_time_millis: 1740, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5432, f_measure: 0.5194, kappa: 0.0557, kb_relative_information_score: 29.0515, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5417, predictive_accuracy: 0.5569, prior_entropy: 0.9912, recall: 0.5569, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0021, scimark_benchmark: 1328.8457, usercpu_time_millis: 320, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 260,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, f_measure: 0.5214, kappa: 0.0318, kb_relative_information_score: 25.9618, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5227, predictive_accuracy: 0.534, prior_entropy: 0.9912, recall: 0.534, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5094, root_relative_squared_error: 1.025, scimark_benchmark: 1351.6526, usercpu_time_millis: 920, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 710,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5081, kappa: 0.0018, kb_relative_information_score: -7.6237, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.507, predictive_accuracy: 0.5161, prior_entropy: 0.9912, recall: 0.5161, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.524, root_relative_squared_error: 1.0544, scimark_benchmark: 889.3151, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0268, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1363.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5232, f_measure: 0.466, kappa: 0.0145, kb_relative_information_score: 7.8901, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5215, predictive_accuracy: 0.5496, prior_entropy: 0.9912, recall: 0.5496, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0003, scimark_benchmark: 1304.6687, usercpu_time_millis: 480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5191, f_measure: 0.4612, kappa: 0.0116, kb_relative_information_score: 6.7201, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5193, predictive_accuracy: 0.5491, prior_entropy: 0.9912, recall: 0.5491, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0006, scimark_benchmark: 935.5075, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5199, f_measure: 0.4554, kappa: 0.0077, kb_relative_information_score: 6.5997, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5154, predictive_accuracy: 0.5482, prior_entropy: 0.9912, recall: 0.5482, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0006, scimark_benchmark: 935.5075, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, f_measure: 0.4576, kappa: 0.0187, kb_relative_information_score: 8.0154, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5308, predictive_accuracy: 0.5542, prior_entropy: 0.9912, recall: 0.5542, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 889.3151, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5247, f_measure: 0.4324, kappa: 0.0028, kb_relative_information_score: 8.2226, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5118, predictive_accuracy: 0.5505, prior_entropy: 0.9912, recall: 0.5505, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 825.5282, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5178, f_measure: 0.524, kappa: 0.0336, kb_relative_information_score: 39.4285, mean_absolute_error: 0.4837, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5228, predictive_accuracy: 0.5266, prior_entropy: 0.9912, recall: 0.5266, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5692, root_relative_squared_error: 1.1454, scimark_benchmark: 854.5188, usercpu_time_millis: 340, usercpu_time_millis_testing: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.518, f_measure: 0.5236, kappa: 0.033, kb_relative_information_score: 39.1636, mean_absolute_error: 0.4837, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5224, predictive_accuracy: 0.5262, prior_entropy: 0.9912, recall: 0.5262, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5691, root_relative_squared_error: 1.1452, scimark_benchmark: 1363.454, usercpu_time_millis: 270, usercpu_time_millis_testing: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3963, kb_relative_information_score: 205.6386, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422, scimark_benchmark: 1312.3073, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3963, kb_relative_information_score: 205.6386, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422, scimark_benchmark: 869.6028, usercpu_time_millis: 6050, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 5570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3963, kb_relative_information_score: 205.6386, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422, scimark_benchmark: 1287.514, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5292, f_measure: 0.4398, kappa: 0.0128, kb_relative_information_score: 8.6206, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5305, predictive_accuracy: 0.5546, prior_entropy: 0.9912, recall: 0.5546, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9989, scimark_benchmark: 930.5999, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5123, f_measure: 0.5185, kappa: 0.0246, kb_relative_information_score: 44.8401, mean_absolute_error: 0.4812, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5182, predictive_accuracy: 0.5188, prior_entropy: 0.9912, recall: 0.5188, relative_absolute_error: 0.9742, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6937, root_relative_squared_error: 1.3958, scimark_benchmark: 942.6843, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5345, f_measure: 0.4648, kappa: 0.024, kb_relative_information_score: 13.8959, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.535, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9992, scimark_benchmark: 885.0921, usercpu_time_millis: 38780, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 38310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: -0.0094, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1304.6687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5236, f_measure: 0.5254, kappa: 0.0364, kb_relative_information_score: 37.8911, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5243, predictive_accuracy: 0.5308, prior_entropy: 0.9912, recall: 0.5308, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5328, root_relative_squared_error: 1.0722, scimark_benchmark: 1331.6907, usercpu_time_millis: 1090, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5195, f_measure: 0.5242, kappa: 0.0389, kb_relative_information_score: 65.1943, mean_absolute_error: 0.4766, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5253, predictive_accuracy: 0.5234, prior_entropy: 0.9912, recall: 0.5234, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6904, root_relative_squared_error: 1.3892, scimark_benchmark: 1316.0472, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, f_measure: 0.5086, kappa: 0.0131, kb_relative_information_score: 24.2872, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5133, predictive_accuracy: 0.5294, prior_entropy: 0.9912, recall: 0.5294, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.532, root_relative_squared_error: 1.0705, scimark_benchmark: 1369.9744, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.4146, kappa: -0.0039, kb_relative_information_score: -5.4879, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.4924, predictive_accuracy: 0.55, prior_entropy: 0.9912, recall: 0.55, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0039, scimark_benchmark: 1355.7054, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.5062, kappa: 0.0008, kb_relative_information_score: -12.1518, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5065, predictive_accuracy: 0.506, prior_entropy: 0.9912, recall: 0.506, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.7029, root_relative_squared_error: 1.4144, scimark_benchmark: 1341.5768, usercpu_time_millis: 400, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.3992, kappa: 0.0025, kb_relative_information_score: 209.7094, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.6421, predictive_accuracy: 0.556, prior_entropy: 0.9912, recall: 0.556, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3408, scimark_benchmark: 1290.1085, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0268, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4903, f_measure: 0.4979, kappa: -0.0196, kb_relative_information_score: -24.3643, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.4963, predictive_accuracy: 0.5032, prior_entropy: 0.9912, recall: 0.5032, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.7048, root_relative_squared_error: 1.4183, scimark_benchmark: 1351.788,

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