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: 0.4992, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5149, f_measure: 0.4179, kappa: 0.0063, kb_relative_information_score: 4.9451, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5314, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5297, f_measure: 0.5124, kappa: 0.0528, kb_relative_information_score: 21.4759, mean_absolute_error: 0.4899, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5427, predictive_accuracy: 0.5583, prior_entropy: 0.9912, recall: 0.5583, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5063, f_measure: 0.395, kappa: -0.0089, kb_relative_information_score: -3.2298, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3441, predictive_accuracy: 0.5505, prior_entropy: 0.9912, recall: 0.5505, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.001,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.513, f_measure: 0.537, kappa: 0.0597, kb_relative_information_score: 52.7132, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.536, predictive_accuracy: 0.5413, prior_entropy: 0.9912, recall: 0.5413, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.0836,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5131, f_measure: 0.4589, kappa: 0.0184, kb_relative_information_score: 8.1543, 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: 0.9968, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4849, f_measure: 0.3963, kb_relative_information_score: -2.1027, mean_absolute_error: 0.4941, 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: 1.0003, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0021,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4654, f_measure: 0.396, kappa: -0.0112, kb_relative_information_score: -18.6499, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.377, predictive_accuracy: 0.5491, prior_entropy: 0.9912, recall: 0.5491, relative_absolute_error: 1.0067, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.521, f_measure: 0.5282, kappa: 0.042, kb_relative_information_score: 31.4825, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.527, predictive_accuracy: 0.5312, prior_entropy: 0.9912, recall: 0.5312, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.0718,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3963, kb_relative_information_score: 203.9518, mean_absolute_error: 0.4454, 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: 0.9018, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6645, root_relative_squared_error: 1.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.4592, kappa: 0.0193, kb_relative_information_score: 4.5518, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5309, predictive_accuracy: 0.5542, prior_entropy: 0.9912, recall: 0.5542, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5374, f_measure: 0.5233, kappa: 0.0479, kb_relative_information_score: 23.8219, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5335, predictive_accuracy: 0.5482, prior_entropy: 0.9912, recall: 0.5482, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0077,
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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5105, f_measure: 0.5016, kappa: -0.0012, kb_relative_information_score: 14.13, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5054, predictive_accuracy: 0.5225, prior_entropy: 0.9912, recall: 0.5225, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5121, root_relative_squared_error: 1.0306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.537, kappa: 0.0597, kb_relative_information_score: 47.4538, mean_absolute_error: 0.4833, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.536, predictive_accuracy: 0.5413, prior_entropy: 0.9912, recall: 0.5413, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5387, root_relative_squared_error: 1.0839,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5075, f_measure: 0.452, kappa: 0.007, kb_relative_information_score: -8.7845, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5152, predictive_accuracy: 0.5487, prior_entropy: 0.9912, recall: 0.5487, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5236, f_measure: 0.4802, kappa: 0.0286, kb_relative_information_score: 7.483, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5332, predictive_accuracy: 0.5542, prior_entropy: 0.9912, recall: 0.5542, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0004,
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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5072, f_measure: 0.4551, kappa: 0.0137, kb_relative_information_score: -7.3908, 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,
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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5131, f_measure: 0.521, kappa: 0.0293, kb_relative_information_score: 8.4326, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5212, predictive_accuracy: 0.5312, prior_entropy: 0.9912, recall: 0.5312, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5118, root_relative_squared_error: 1.0298,
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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.425, kappa: -0.0005, kb_relative_information_score: 5.4027, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5048, predictive_accuracy: 0.55, prior_entropy: 0.9912, recall: 0.55, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5205, f_measure: 0.5192, kappa: 0.0269, kb_relative_information_score: 35.8351, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5201, predictive_accuracy: 0.5312, prior_entropy: 0.9912, recall: 0.5312, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5448, root_relative_squared_error: 1.0964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.5028, kappa: -0.0052, kb_relative_information_score: -28.4352, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5035, predictive_accuracy: 0.5023, prior_entropy: 0.9912, recall: 0.5023, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.7055, root_relative_squared_error: 1.4196,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
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: 1287.1515, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.541, f_measure: 0.478, kappa: 0.0298, kb_relative_information_score: -5.6266, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5357, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9987, scimark_benchmark: 1294.6013, usercpu_time_millis: 670, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 660,
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: 1318.5587, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.5169, kappa: 0.0211, kb_relative_information_score: 37.6519, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5165, predictive_accuracy: 0.5174, prior_entropy: 0.9912, recall: 0.5174, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6944, root_relative_squared_error: 1.3973, scimark_benchmark: 1271.1436, usercpu_time_millis: 350, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5209, f_measure: 0.4546, kappa: 0.005, kb_relative_information_score: 6.9936, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.512, predictive_accuracy: 0.5468, prior_entropy: 0.9912, recall: 0.5468, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0005, scimark_benchmark: 1251.2833, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5311, f_measure: 0.5275, kappa: 0.0597, kb_relative_information_score: 22.2825, mean_absolute_error: 0.4899, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5411, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0007, scimark_benchmark: 687.6666, usercpu_time_millis: 70, 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: 1618.1738, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
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: 1618.1738, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.5079, kappa: 0.0105, kb_relative_information_score: 28.2591, mean_absolute_error: 0.4869, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5118, predictive_accuracy: 0.5275, prior_entropy: 0.9912, recall: 0.5275, relative_absolute_error: 0.9857, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.531, root_relative_squared_error: 1.0684, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5202, f_measure: 0.5192, kappa: 0.0236, kb_relative_information_score: 33.3311, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5179, predictive_accuracy: 0.5243, prior_entropy: 0.9912, recall: 0.5243, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5333, root_relative_squared_error: 1.0731, scimark_benchmark: 1925.3565, usercpu_time_millis: 1109.375, usercpu_time_millis_testing: 390.625, usercpu_time_millis_training: 718.75,
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: 1925.3565,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: -0.0094, 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: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4654, f_measure: 0.396, kappa: -0.0112, kb_relative_information_score: -18.6499, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.377, predictive_accuracy: 0.5491, prior_entropy: 0.9912, recall: 0.5491, relative_absolute_error: 1.0067, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0102, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
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: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4654, f_measure: 0.396, kappa: -0.0112, kb_relative_information_score: -18.6499, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.377, predictive_accuracy: 0.5491, prior_entropy: 0.9912, recall: 0.5491, relative_absolute_error: 1.0067, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0102, scimark_benchmark: 1887.4343,
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: 1806.5905,
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: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5212, f_measure: 0.515, kappa: 0.0198, kb_relative_information_score: 24.1486, mean_absolute_error: 0.4877, 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: 0.9874, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.521, root_relative_squared_error: 1.0484, scimark_benchmark: 1806.5905, usercpu_time_millis: 390.0025, usercpu_time_millis_testing: 156.001, usercpu_time_millis_training: 234.0015,
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: 1806.5905, usercpu_time_millis: 858.0055, usercpu_time_millis_testing: 249.6016, usercpu_time_millis_training: 608.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5218, f_measure: 0.5051, kappa: 0.0067, kb_relative_information_score: 30.9, mean_absolute_error: 0.4861, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5098, predictive_accuracy: 0.5266, prior_entropy: 0.9912, recall: 0.5266, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5319, root_relative_squared_error: 1.0703, scimark_benchmark: 1806.5905, usercpu_time_millis: 156.001, usercpu_time_millis_testing: 156.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.5169, kappa: 0.0211, kb_relative_information_score: 37.6519, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5165, predictive_accuracy: 0.5174, prior_entropy: 0.9912, recall: 0.5174, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6944, root_relative_squared_error: 1.3973, scimark_benchmark: 1806.5905, usercpu_time_millis: 171.6011, usercpu_time_millis_testing: 171.6011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4654, f_measure: 0.396, kappa: -0.0112, kb_relative_information_score: -18.6499, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.377, predictive_accuracy: 0.5491, prior_entropy: 0.9912, recall: 0.5491, relative_absolute_error: 1.0067, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0102, scimark_benchmark: 1877.5305,
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: 1850.8887,
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: 1850.8887, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, f_measure: 0.5119, kappa: 0.0089, kb_relative_information_score: 32.6275, mean_absolute_error: 0.4839, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5105, predictive_accuracy: 0.5161, prior_entropy: 0.9912, recall: 0.5161, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6957, root_relative_squared_error: 1.3998, usercpu_time_millis: 3.329, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 3.159,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs