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OpenML
Task
Supervised Classification on wind

Supervised Classification on wind

Task 3712 Supervised Classification wind 552 runs submitted
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Visibility: Public
  • 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: 0.8915, f_measure: 0.8312, kappa: 0.6609, kb_relative_information_score: 3971.549, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8312, predictive_accuracy: 0.8312, prior_entropy: 0.9969, recall: 0.8312, relative_absolute_error: 0.4032, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7161, scimark_benchmark: 825.5282, usercpu_time_millis: 3290, usercpu_time_millis_testing: 3290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8405, kappa: 0.6829, kb_relative_information_score: 4465.1208, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.85, predictive_accuracy: 0.8406, prior_entropy: 0.9969, recall: 0.8406, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8002, scimark_benchmark: 889.3151, usercpu_time_millis: 500, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.8295, kappa: 0.6572, kb_relative_information_score: 4324.2614, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8303, predictive_accuracy: 0.8299, prior_entropy: 0.9969, recall: 0.8299, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8265, scimark_benchmark: 916.6405, usercpu_time_millis: 48020, usercpu_time_millis_testing: 4370, usercpu_time_millis_training: 43650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.8545, kappa: 0.7076, kb_relative_information_score: 4652.2626, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8548, predictive_accuracy: 0.8547, prior_entropy: 0.9969, recall: 0.8547, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7639, scimark_benchmark: 1250.8301, usercpu_time_millis: 930, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8527, kappa: 0.7039, kb_relative_information_score: 3954.8214, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.853, predictive_accuracy: 0.8529, prior_entropy: 0.9969, recall: 0.8529, relative_absolute_error: 0.4221, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.643, scimark_benchmark: 1304.9611, usercpu_time_millis: 1600, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.7735, kappa: 0.5447, kb_relative_information_score: 3589.7801, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.7749, predictive_accuracy: 0.7744, prior_entropy: 0.9969, recall: 0.7744, relative_absolute_error: 0.4531, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.475, root_relative_squared_error: 0.9519, scimark_benchmark: 1331.6907, usercpu_time_millis: 880, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.868, kappa: 0.7348, kb_relative_information_score: 4224.4233, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8681, predictive_accuracy: 0.8681, prior_entropy: 0.9969, recall: 0.8681, relative_absolute_error: 0.3786, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3058, root_relative_squared_error: 0.6129, scimark_benchmark: 938.9967, usercpu_time_millis: 1722130, usercpu_time_millis_testing: 7680, usercpu_time_millis_training: 1714450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8109, kappa: 0.6203, kb_relative_information_score: 4035.4523, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.811, predictive_accuracy: 0.8109, prior_entropy: 0.9969, recall: 0.8109, relative_absolute_error: 0.3867, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8324, scimark_benchmark: 1325.2092, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.8109, kappa: 0.6203, kb_relative_information_score: 4035.2353, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.811, predictive_accuracy: 0.8109, prior_entropy: 0.9969, recall: 0.8109, relative_absolute_error: 0.3868, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8323, scimark_benchmark: 1350.9691, usercpu_time_millis: 1790, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.865, kappa: 0.7287, kb_relative_information_score: 4000.7042, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.865, predictive_accuracy: 0.8651, prior_entropy: 0.9969, recall: 0.8651, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6267, scimark_benchmark: 1307.4861, usercpu_time_millis: 3040, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 2590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.7889, kappa: 0.5763, kb_relative_information_score: 3778.9342, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.7892, predictive_accuracy: 0.7887, prior_entropy: 0.9969, recall: 0.7887, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9213, scimark_benchmark: 1321.527, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8355, kappa: 0.6696, kb_relative_information_score: 3851.8083, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8355, predictive_accuracy: 0.8354, prior_entropy: 0.9969, recall: 0.8354, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7068, scimark_benchmark: 1316.0472, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8412, kappa: 0.6811, kb_relative_information_score: 3721.9477, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8413, predictive_accuracy: 0.8412, prior_entropy: 0.9969, recall: 0.8412, relative_absolute_error: 0.4652, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.701, scimark_benchmark: 1310.8451, usercpu_time_millis: 990, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7513, f_measure: 0.7544, kappa: 0.5065, kb_relative_information_score: 3348.3068, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.7578, predictive_accuracy: 0.7562, prior_entropy: 0.9969, recall: 0.7562, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9897, scimark_benchmark: 1335.4072, usercpu_time_millis: 6230, usercpu_time_millis_testing: 1010, usercpu_time_millis_training: 5220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.8367, kappa: 0.6722, kb_relative_information_score: 3999.6909, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8368, predictive_accuracy: 0.8366, prior_entropy: 0.9969, recall: 0.8366, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6903, scimark_benchmark: 1465.2979, usercpu_time_millis: 500, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.8077, kappa: 0.6134, kb_relative_information_score: 4034.4934, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.808, predictive_accuracy: 0.808, prior_entropy: 0.9969, recall: 0.808, relative_absolute_error: 0.3856, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8781, scimark_benchmark: 1465.2979, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.8246, kappa: 0.6474, kb_relative_information_score: 4255.8439, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8247, predictive_accuracy: 0.8248, prior_entropy: 0.9969, recall: 0.8248, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.839, scimark_benchmark: 1353.5686, usercpu_time_millis: 810, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3701, kb_relative_information_score: -0.0062, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.2836, predictive_accuracy: 0.5326, prior_entropy: 0.9969, recall: 0.5326, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4989, root_relative_squared_error: 1, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.8312, kappa: 0.6609, kb_relative_information_score: 4050.2441, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8312, predictive_accuracy: 0.8313, prior_entropy: 0.9969, recall: 0.8313, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7614, scimark_benchmark: 1466.6185, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.8089, kappa: 0.6157, kb_relative_information_score: 4048.2725, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8102, predictive_accuracy: 0.8096, prior_entropy: 0.9969, recall: 0.8096, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.8717, scimark_benchmark: 931.2336, usercpu_time_millis: 1230, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.8246, kappa: 0.6473, kb_relative_information_score: 3564.4065, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.826, predictive_accuracy: 0.8252, prior_entropy: 0.9969, recall: 0.8252, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7165, scimark_benchmark: 941.7954, usercpu_time_millis: 990, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.8246, kappa: 0.6473, kb_relative_information_score: 3564.4065, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.826, predictive_accuracy: 0.8252, prior_entropy: 0.9969, recall: 0.8252, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7165, scimark_benchmark: 923.7642, usercpu_time_millis: 980, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.8246, kappa: 0.6473, kb_relative_information_score: 3564.4065, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.826, predictive_accuracy: 0.8252, prior_entropy: 0.9969, recall: 0.8252, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7165, scimark_benchmark: 894.7455, usercpu_time_millis: 990, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8465, kappa: 0.6916, kb_relative_information_score: 4532.1545, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8465, predictive_accuracy: 0.8465, prior_entropy: 0.9969, recall: 0.8465, relative_absolute_error: 0.311, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7262, scimark_benchmark: 940.2922, usercpu_time_millis: 4150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8404, kappa: 0.6793, kb_relative_information_score: 4447.1637, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8404, predictive_accuracy: 0.8404, prior_entropy: 0.9969, recall: 0.8404, relative_absolute_error: 0.3235, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7488, scimark_benchmark: 943.2817, usercpu_time_millis: 1880, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8307, kappa: 0.6601, kb_relative_information_score: 4344.4043, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8308, predictive_accuracy: 0.8307, prior_entropy: 0.9969, recall: 0.8307, relative_absolute_error: 0.3384, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.7733, scimark_benchmark: 936.6206, usercpu_time_millis: 970, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8244, kappa: 0.6476, kb_relative_information_score: 4229.8541, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8246, predictive_accuracy: 0.8243, prior_entropy: 0.9969, recall: 0.8243, relative_absolute_error: 0.3561, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8091, scimark_benchmark: 933.8635, usercpu_time_millis: 510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.8193, kappa: 0.6378, kb_relative_information_score: 4164.4531, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8203, predictive_accuracy: 0.8191, prior_entropy: 0.9969, recall: 0.8191, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.826, scimark_benchmark: 938.4278, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8626, kappa: 0.724, kb_relative_information_score: 4235.8496, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8626, predictive_accuracy: 0.8626, prior_entropy: 0.9969, recall: 0.8626, relative_absolute_error: 0.3742, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6284, scimark_benchmark: 938.4285, usercpu_time_millis: 3510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8629, kappa: 0.7245, kb_relative_information_score: 4194.0792, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8629, predictive_accuracy: 0.8629, prior_entropy: 0.9969, recall: 0.8629, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.6287, scimark_benchmark: 924.6116, usercpu_time_millis: 1730, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1720,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8565, kappa: 0.7117, kb_relative_information_score: 4034.3227, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8565, predictive_accuracy: 0.8566, prior_entropy: 0.9969, recall: 0.8566, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6479, scimark_benchmark: 947.9494, usercpu_time_millis: 450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 440,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, build_cpu_time: 3.7511, build_memory: 766294978.3535, f_measure: 0.7701, kappa: 0.5383, kb_relative_information_score: 3516.4157, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.7701, predictive_accuracy: 0.7702, prior_entropy: 0.9969, recall: 0.7702, relative_absolute_error: 0.4652, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9103, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, build_cpu_time: 1.7929, build_memory: 895051832.9066, f_measure: 0.7777, kappa: 0.5536, kb_relative_information_score: 3546.4256, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.7778, predictive_accuracy: 0.7776, prior_entropy: 0.9969, recall: 0.7776, relative_absolute_error: 0.4621, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.882, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, build_cpu_time: 0.9855, build_memory: 711927441.4822, f_measure: 0.7799, kappa: 0.5579, kb_relative_information_score: 3538.3277, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.7799, predictive_accuracy: 0.7799, prior_entropy: 0.9969, recall: 0.7799, relative_absolute_error: 0.4653, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.8527, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, build_cpu_time: 0.5522, build_memory: 1311438854.1953, f_measure: 0.7784, kappa: 0.5549, kb_relative_information_score: 3457.6004, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.7784, predictive_accuracy: 0.7784, prior_entropy: 0.9969, recall: 0.7784, relative_absolute_error: 0.4805, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8344, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, build_cpu_time: 0.242, build_memory: 694174343.7785, f_measure: 0.7824, kappa: 0.5629, kb_relative_information_score: 3439.8496, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.7824, predictive_accuracy: 0.7825, prior_entropy: 0.9969, recall: 0.7825, relative_absolute_error: 0.4873, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8023, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, build_cpu_time: 0.6561, build_memory: 945286323.5741, f_measure: 0.8246, kappa: 0.6473, kb_relative_information_score: 3564.4065, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.826, predictive_accuracy: 0.8252, prior_entropy: 0.9969, recall: 0.8252, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7165, scimark_benchmark: 908.8705,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, build_cpu_time: 2283.5607, build_memory: 690190125.4773, f_measure: 0.84, kappa: 0.6786, kb_relative_information_score: 3955.0008, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9969, recall: 0.84, relative_absolute_error: 0.4173, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.678, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, build_cpu_time: 4942.1367, build_memory: 55237563.4597, f_measure: 0.8477, kappa: 0.6941, kb_relative_information_score: 4117.2544, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8477, predictive_accuracy: 0.8477, prior_entropy: 0.9969, recall: 0.8477, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.6609, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, build_cpu_time: 10146.7824, build_memory: 3484263232.5318, f_measure: 0.8545, kappa: 0.7078, kb_relative_information_score: 4244.1535, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8545, predictive_accuracy: 0.8546, prior_entropy: 0.9969, recall: 0.8546, relative_absolute_error: 0.3688, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.6483, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, build_cpu_time: 40329.9207, build_memory: 876777988.7277, f_measure: 0.8539, kappa: 0.7065, kb_relative_information_score: 4413.6182, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8539, predictive_accuracy: 0.854, prior_entropy: 0.9969, recall: 0.854, relative_absolute_error: 0.3371, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.6622, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, build_cpu_time: 19085.6333, build_memory: 661812042.9583, f_measure: 0.8531, kappa: 0.7049, kb_relative_information_score: 4323.0726, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8531, predictive_accuracy: 0.8532, prior_entropy: 0.9969, recall: 0.8532, relative_absolute_error: 0.3537, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.6538, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, build_cpu_time: 1784.7879, build_memory: 1683776519.4427, f_measure: 0.8664, kappa: 0.7316, kb_relative_information_score: 4809.237, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8664, predictive_accuracy: 0.8664, prior_entropy: 0.9969, recall: 0.8664, relative_absolute_error: 0.2679, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7298, scimark_benchmark: 938.6131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, build_cpu_time: 862.3242, build_memory: 1037116275.3283, f_measure: 0.8658, kappa: 0.7304, kb_relative_information_score: 4799.5841, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8658, predictive_accuracy: 0.8658, prior_entropy: 0.9969, recall: 0.8658, relative_absolute_error: 0.2694, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7294, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, build_cpu_time: 465.8548, build_memory: 1795697895.181, f_measure: 0.864, kappa: 0.7268, kb_relative_information_score: 4788.248, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.864, predictive_accuracy: 0.864, prior_entropy: 0.9969, recall: 0.864, relative_absolute_error: 0.2709, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7257, scimark_benchmark: 906.6607,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, build_cpu_time: 97.2883, build_memory: 319122934.087, f_measure: 0.8409, kappa: 0.6803, kb_relative_information_score: 4484.5279, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8408, predictive_accuracy: 0.8409, prior_entropy: 0.9969, recall: 0.8409, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7552, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, build_cpu_time: 11.8006, build_memory: 256126972.4929, f_measure: 0.8458, kappa: 0.6902, kb_relative_information_score: 4168.9508, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8458, predictive_accuracy: 0.8458, prior_entropy: 0.9969, recall: 0.8458, relative_absolute_error: 0.3811, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6769, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, build_cpu_time: 21.2585, build_memory: 441941065.1354, f_measure: 0.8499, kappa: 0.6985, kb_relative_information_score: 4263.3784, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8499, predictive_accuracy: 0.8499, prior_entropy: 0.9969, recall: 0.8499, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.6725, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, build_cpu_time: 38.7639, build_memory: 265116105.7986, f_measure: 0.8532, kappa: 0.7052, kb_relative_information_score: 4345.4748, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8532, predictive_accuracy: 0.8532, prior_entropy: 0.9969, recall: 0.8532, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.671, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, build_cpu_time: 84.9655, build_memory: 781077395.052, f_measure: 0.8535, kappa: 0.7058, kb_relative_information_score: 4396.7074, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8535, predictive_accuracy: 0.8535, prior_entropy: 0.9969, recall: 0.8535, relative_absolute_error: 0.34, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6718, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, build_cpu_time: 154.1936, build_memory: 1000202110.0262, f_measure: 0.8541, kappa: 0.7069, kb_relative_information_score: 4457.7471, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8541, predictive_accuracy: 0.8541, prior_entropy: 0.9969, recall: 0.8541, relative_absolute_error: 0.3283, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.339, root_relative_squared_error: 0.6794, scimark_benchmark: 922.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, build_cpu_time: 17.1152, build_memory: 869618117.9203, f_measure: 0.8407, kappa: 0.68, kb_relative_information_score: 4277.8075, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8407, predictive_accuracy: 0.8407, prior_entropy: 0.9969, recall: 0.8407, relative_absolute_error: 0.3565, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.7062, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, build_cpu_time: 16.8642, build_memory: 982000067.6082, f_measure: 0.8407, kappa: 0.68, kb_relative_information_score: 4277.8075, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8407, predictive_accuracy: 0.8407, prior_entropy: 0.9969, recall: 0.8407, relative_absolute_error: 0.3565, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.7062, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, build_cpu_time: 8.4318, build_memory: 819551630.6468, f_measure: 0.8426, kappa: 0.6838, kb_relative_information_score: 4255.4846, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8426, predictive_accuracy: 0.8426, prior_entropy: 0.9969, recall: 0.8426, relative_absolute_error: 0.3615, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7024, scimark_benchmark: 930.5854,

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