OpenML
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: 0.5156, 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: 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: 1505.597,
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: 1605.6303,
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: 927.0753, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
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: 945.7621, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
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: 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: 894.7455, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
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: 940.2922, usercpu_time_millis: 650, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 630,
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: 938.2848, usercpu_time_millis: 280, 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: 933.8635, usercpu_time_millis: 70, 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: 933.8635, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
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: 180, usercpu_time_millis_training: 180,
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: 945.6434, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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: 932.3943, 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: 931.2336, 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: 940.2922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.281, kappa: 0.0013, kb_relative_information_score: -77.5208, mean_absolute_error: 0.5062, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5397, predictive_accuracy: 0.4463, prior_entropy: 0.9912, recall: 0.4463, relative_absolute_error: 1.0248, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5114, root_relative_squared_error: 1.0291, scimark_benchmark: 934.5243, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5404, f_measure: 0.4914, kappa: 0.0265, kb_relative_information_score: 17.8927, mean_absolute_error: 0.4906, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5267, predictive_accuracy: 0.5491, prior_entropy: 0.9912, recall: 0.5491, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0021, scimark_benchmark: 930.32, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.518, f_measure: 0.5162, kappa: 0.0176, kb_relative_information_score: 34.5614, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5149, predictive_accuracy: 0.5197, prior_entropy: 0.9912, recall: 0.5197, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5912, root_relative_squared_error: 1.1896, scimark_benchmark: 929.566, usercpu_time_millis: 230, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, f_measure: 0.4402, kappa: -0.0071, kb_relative_information_score: 0.3131, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.496, predictive_accuracy: 0.5432, prior_entropy: 0.9912, recall: 0.5432, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0045, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, f_measure: 0.4052, kappa: -0.006, kb_relative_information_score: 5.1201, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.4713, predictive_accuracy: 0.5505, prior_entropy: 0.9912, recall: 0.5505, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0007, scimark_benchmark: 911.0478, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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: 901.0726,
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: 929.0255, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5064, f_measure: 0.3963, kb_relative_information_score: -27.3241, mean_absolute_error: 0.4979, 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: 1.0081, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0027, scimark_benchmark: 947.9494, usercpu_time_millis: 560, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, f_measure: 0.4379, kappa: 0.008, kb_relative_information_score: 5.3569, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5211, predictive_accuracy: 0.5523, prior_entropy: 0.9912, recall: 0.5523, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0003, scimark_benchmark: 917.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5161, f_measure: 0.5174, kappa: 0.022, kb_relative_information_score: 35.6112, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5169, predictive_accuracy: 0.5179, prior_entropy: 0.9912, recall: 0.5179, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5982, root_relative_squared_error: 1.2037, scimark_benchmark: 901.0726, usercpu_time_millis: 14240, usercpu_time_millis_testing: 14220, 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: 889.9795, usercpu_time_millis: 20, usercpu_time_millis_testing: 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: 915.2795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5182, f_measure: 0.5234, kappa: 0.0342, kb_relative_information_score: 36.4331, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.523, predictive_accuracy: 0.5239, prior_entropy: 0.9912, recall: 0.5239, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6281, root_relative_squared_error: 1.2638, scimark_benchmark: 918.4924, usercpu_time_millis: 4640, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5217, f_measure: 0.53, kappa: 0.0482, kb_relative_information_score: -7.0819, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5311, predictive_accuracy: 0.5409, prior_entropy: 0.9912, recall: 0.5409, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5214, root_relative_squared_error: 1.0493, scimark_benchmark: 902.4773, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5295, f_measure: 0.5232, kappa: 0.0422, kb_relative_information_score: 19.5641, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5293, predictive_accuracy: 0.5432, prior_entropy: 0.9912, recall: 0.5432, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.01, scimark_benchmark: 945.6434, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, 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: 904.3001, usercpu_time_millis: 10, usercpu_time_millis_testing: 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: 947.0793, usercpu_time_millis: 5750, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 5240,
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: 939.0833, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5289, build_cpu_time: 0.38, build_memory: 1386020355.8053, f_measure: 0.4893, kappa: 0.0354, kb_relative_information_score: 8.2966, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5366, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 945.1987,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5289, build_cpu_time: 0.4096, build_memory: 948839377.4031, f_measure: 0.4893, kappa: 0.0354, kb_relative_information_score: 8.2966, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5366, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 943.1873,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5248, build_cpu_time: 6.0857, build_memory: 514295204.9513, f_measure: 0.5199, kappa: 0.0311, kb_relative_information_score: 32.8443, mean_absolute_error: 0.4865, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5227, predictive_accuracy: 0.5354, prior_entropy: 0.9912, recall: 0.5354, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0311, scimark_benchmark: 893.4088,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5235, build_cpu_time: 0.1972, build_memory: 758884433.0836, f_measure: 0.5204, kappa: 0.0504, kb_relative_information_score: 20.813, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5367, predictive_accuracy: 0.5523, prior_entropy: 0.9912, recall: 0.5523, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0068, scimark_benchmark: 930.5854,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, build_cpu_time: 0.0085, build_memory: 581852626.9311, 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: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, build_cpu_time: 0.0148, build_memory: 219699980.6869, 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: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5103, build_cpu_time: 70.4365, build_memory: 718724818.3691, f_measure: 0.5165, kappa: 0.0203, kb_relative_information_score: 37.7027, mean_absolute_error: 0.4828, 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: 0.9774, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6947, root_relative_squared_error: 1.398, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5103, build_cpu_time: 35.1094, build_memory: 266337812.5142, f_measure: 0.5165, kappa: 0.0203, kb_relative_information_score: 37.6981, mean_absolute_error: 0.4828, 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: 0.9774, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6947, root_relative_squared_error: 1.398, scimark_benchmark: 937.6343,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5232, build_cpu_time: 0.4256, build_memory: 181161404.966, 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: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5237, build_cpu_time: 23.2401, build_memory: 991070158.2002, f_measure: 0.5264, kappa: 0.0394, kb_relative_information_score: 82.2218, mean_absolute_error: 0.4726, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5256, predictive_accuracy: 0.5275, prior_entropy: 0.9912, recall: 0.5275, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6644, root_relative_squared_error: 1.337, scimark_benchmark: 919.1717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5229, build_cpu_time: 14.2456, build_memory: 1137060430.0569, f_measure: 0.5246, kappa: 0.0354, kb_relative_information_score: 81.6591, mean_absolute_error: 0.4726, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5236, predictive_accuracy: 0.5262, prior_entropy: 0.9912, recall: 0.5262, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6614, root_relative_squared_error: 1.3309, scimark_benchmark: 939.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5272, build_cpu_time: 7.6946, build_memory: 862067402.3508, f_measure: 0.5268, kappa: 0.0408, kb_relative_information_score: 76.9625, mean_absolute_error: 0.474, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5263, predictive_accuracy: 0.5275, prior_entropy: 0.9912, recall: 0.5275, relative_absolute_error: 0.9596, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6476, root_relative_squared_error: 1.303, scimark_benchmark: 916.0736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5182, build_cpu_time: 3.4896, build_memory: 215159051.5298, f_measure: 0.5234, kappa: 0.0342, kb_relative_information_score: 36.4331, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.523, predictive_accuracy: 0.5239, prior_entropy: 0.9912, recall: 0.5239, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6281, root_relative_squared_error: 1.2638, scimark_benchmark: 938.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5217, build_cpu_time: 0.1411, build_memory: 1189480422.2039, f_measure: 0.53, kappa: 0.0482, kb_relative_information_score: -7.0819, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5311, predictive_accuracy: 0.5409, prior_entropy: 0.9912, recall: 0.5409, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5214, root_relative_squared_error: 1.0493, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5295, build_cpu_time: 0.3545, build_memory: 152309754.5601, f_measure: 0.5232, kappa: 0.0422, kb_relative_information_score: 19.5641, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5293, predictive_accuracy: 0.5432, prior_entropy: 0.9912, recall: 0.5432, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.01, scimark_benchmark: 919.5281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, build_cpu_time: 0.0045, build_memory: 606725285.4068, 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: 913.4921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5271, build_cpu_time: 0.0458, build_memory: 709115948.6061, 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: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, build_cpu_time: 0.0002, build_memory: 362550670.7291, 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: 938.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 1.8974, build_memory: 974645357.0725, 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: 942.9279,

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