Task
Supervised Classification on quake

Supervised Classification on quake

Task 3638 Supervised Classification quake 559 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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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,
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: 1354.3488, usercpu_time_millis: 2830, usercpu_time_millis_testing: 1350, usercpu_time_millis_training: 1480,
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: 1313.5052, 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: 1322.7383,
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: 1334.6745, usercpu_time_millis: 10, usercpu_time_millis_training: 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: 1328.941, 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: 1350.2369, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 916.6405, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
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_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5028, f_measure: 0.4402, kappa: 0.0121, kb_relative_information_score: 120.8836, mean_absolute_error: 0.4649, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5287, predictive_accuracy: 0.5542, prior_entropy: 0.9912, recall: 0.5542, relative_absolute_error: 0.9411, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6055, root_relative_squared_error: 1.2185, scimark_benchmark: 854.5188, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, 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: 854.5188, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
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: 1327.2954, usercpu_time_millis: 440, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 380,
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: 1341.4232,
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: 1261.7298, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
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: 1314.0383, usercpu_time_millis: 1040, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5116, f_measure: 0.3963, kb_relative_information_score: 8.5941, mean_absolute_error: 0.4921, 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: 0.9964, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.999, scimark_benchmark: 1360.1753,
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: 1413.089, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5572, f_measure: 0.5309, kappa: 0.0659, kb_relative_information_score: 46.8, mean_absolute_error: 0.4851, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5446, predictive_accuracy: 0.5579, prior_entropy: 0.9912, recall: 0.5579, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0009, scimark_benchmark: 961.21, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
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, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 855.8522, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5174, f_measure: 0.4044, kappa: -0.0062, kb_relative_information_score: 7.9536, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.468, predictive_accuracy: 0.5505, prior_entropy: 0.9912, recall: 0.5505, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0021, scimark_benchmark: 912.7324, usercpu_time_millis: 6370, usercpu_time_millis_testing: 6370,
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: 1297.2338, usercpu_time_millis: 29470, usercpu_time_millis_testing: 29470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5101, f_measure: 0.5165, kappa: 0.0203, kb_relative_information_score: 36.6984, mean_absolute_error: 0.483, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5161, predictive_accuracy: 0.517, prior_entropy: 0.9912, recall: 0.517, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.695, root_relative_squared_error: 1.3985, scimark_benchmark: 1296.8947, usercpu_time_millis: 320, usercpu_time_millis_testing: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, f_measure: 0.4036, kappa: 0.0055, kb_relative_information_score: -41.4222, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.6054, predictive_accuracy: 0.5569, prior_entropy: 0.9912, recall: 0.5569, relative_absolute_error: 1.0127, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0077, scimark_benchmark: 1296.8947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3998, kappa: 0.0018, kb_relative_information_score: -40.7598, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5626, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 1.0123, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0062, scimark_benchmark: 1316.7714,
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: 1313.6093, usercpu_time_millis: 520, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 500,
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: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5271, f_measure: 0.5327, kappa: 0.0643, kb_relative_information_score: 21.5208, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5423, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9997, scimark_benchmark: 1337.3264, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5409, f_measure: 0.5118, kappa: 0.044, kb_relative_information_score: 26.6641, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.535, predictive_accuracy: 0.5523, prior_entropy: 0.9912, recall: 0.5523, relative_absolute_error: 0.9896, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0021, scimark_benchmark: 1360.2771, usercpu_time_millis: 760, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5209, f_measure: 0.5018, kappa: 0.0207, kb_relative_information_score: 12.2231, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5193, predictive_accuracy: 0.5404, prior_entropy: 0.9912, recall: 0.5404, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0105, scimark_benchmark: 1321.5205, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
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: 1314.9535, usercpu_time_millis: 930, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 650,
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: 1285.0758, usercpu_time_millis: 10, usercpu_time_millis_testing: 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: 1337.7839, usercpu_time_millis: 10, usercpu_time_millis_testing: 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: 1360.2771, 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: 1339.7143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5071, f_measure: 0.4551, kappa: 0.0137, kb_relative_information_score: -7.4084, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5242, predictive_accuracy: 0.5519, prior_entropy: 0.9912, recall: 0.5519, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.009, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5071, f_measure: 0.4551, kappa: 0.0137, kb_relative_information_score: -7.3764, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5242, predictive_accuracy: 0.5519, prior_entropy: 0.9912, recall: 0.5519, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.009, scimark_benchmark: 1350.9691,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5224, f_measure: 0.4506, kappa: 0.0183, kb_relative_information_score: 7.1489, 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: 1334.8495, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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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: 1301.9956, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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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: 1290.1085, usercpu_time_millis: 270, 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: 825.5282, usercpu_time_millis: 440, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 230,
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: 1355.7054, 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: 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5156, f_measure: 0.4841, kappa: 0.0335, kb_relative_information_score: 209.7094, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5371, 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: 1353.5686, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 1503.3362,
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: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5083, f_measure: 0.4641, kappa: 0.0152, kb_relative_information_score: 53.9986, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.523, predictive_accuracy: 0.5505, prior_entropy: 0.9912, recall: 0.5505, relative_absolute_error: 0.9773, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5169, root_relative_squared_error: 1.0401, scimark_benchmark: 931.2336, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5067, f_measure: 0.46, kappa: 0.0189, kb_relative_information_score: 14.21, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5298, predictive_accuracy: 0.5537, prior_entropy: 0.9912, recall: 0.5537, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0079, scimark_benchmark: 945.6434, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5129, f_measure: 0.4589, kappa: 0.0184, kb_relative_information_score: 8.0625, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5297, predictive_accuracy: 0.5537, prior_entropy: 0.9912, recall: 0.5537, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.001, scimark_benchmark: 941.7954, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5129, f_measure: 0.4589, kappa: 0.0184, kb_relative_information_score: 8.0625, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5297, predictive_accuracy: 0.5537, prior_entropy: 0.9912, recall: 0.5537, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.001, scimark_benchmark: 923.7642, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5129, f_measure: 0.4589, kappa: 0.0184, kb_relative_information_score: 8.0625, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5297, predictive_accuracy: 0.5537, prior_entropy: 0.9912, recall: 0.5537, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.001, scimark_benchmark: 894.7455, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5174, f_measure: 0.4734, kappa: 0.0055, kb_relative_information_score: 75.6602, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5108, predictive_accuracy: 0.5418, prior_entropy: 0.9912, recall: 0.5418, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5214, root_relative_squared_error: 1.0491, scimark_benchmark: 936.6206, usercpu_time_millis: 810, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5213, f_measure: 0.4682, kappa: 0.0163, kb_relative_information_score: 81.8394, mean_absolute_error: 0.4764, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.523, predictive_accuracy: 0.55, prior_entropy: 0.9912, recall: 0.55, relative_absolute_error: 0.9645, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.524, root_relative_squared_error: 1.0543, scimark_benchmark: 936.6206, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, f_measure: 0.4664, kappa: 0.0087, kb_relative_information_score: 77.714, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5147, predictive_accuracy: 0.5459, prior_entropy: 0.9912, recall: 0.5459, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5203, root_relative_squared_error: 1.0469, scimark_benchmark: 942.1229, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5218, f_measure: 0.452, kappa: 0.0229, kb_relative_information_score: 85.7937, mean_absolute_error: 0.4758, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5426, predictive_accuracy: 0.5579, prior_entropy: 0.9912, recall: 0.5579, relative_absolute_error: 0.9633, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5221, root_relative_squared_error: 1.0507, scimark_benchmark: 922.9039, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5244, f_measure: 0.4716, kappa: 0.0277, kb_relative_information_score: 76.859, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5364, predictive_accuracy: 0.556, prior_entropy: 0.9912, recall: 0.556, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0392, scimark_benchmark: 938.9865, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5113, f_measure: 0.5014, kappa: 0.0086, kb_relative_information_score: 5.5859, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5111, predictive_accuracy: 0.5312, prior_entropy: 0.9912, recall: 0.5312, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.0168, scimark_benchmark: 936.6206, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5209, f_measure: 0.5018, kappa: 0.0207, kb_relative_information_score: 12.2231, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5193, predictive_accuracy: 0.5404, prior_entropy: 0.9912, recall: 0.5404, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0105, scimark_benchmark: 924.6116, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5238, f_measure: 0.5059, kappa: 0.0387, kb_relative_information_score: 11.396, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5327, predictive_accuracy: 0.5514, prior_entropy: 0.9912, recall: 0.5514, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0088, scimark_benchmark: 924.6116, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5348, f_measure: 0.5022, kappa: 0.0439, kb_relative_information_score: 16.5352, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5392, predictive_accuracy: 0.5565, prior_entropy: 0.9912, recall: 0.5565, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0047, scimark_benchmark: 947.9494, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5298, f_measure: 0.4779, kappa: 0.015, kb_relative_information_score: 13.0819, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5191, predictive_accuracy: 0.5464, prior_entropy: 0.9912, recall: 0.5464, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0028, scimark_benchmark: 929.566, 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: -0.0094, 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: 943.2817,

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