Task
Supervised Classification on wind

Supervised Classification on wind

Task 3712 Supervised Classification wind 552 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8288, kappa: 0.6559, kb_relative_information_score: 3662.083, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.829, predictive_accuracy: 0.829, prior_entropy: 0.9969, recall: 0.829, relative_absolute_error: 0.4681, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.697, scimark_benchmark: 936.1714, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, 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: 936.1714, usercpu_time_millis: 3590, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3550,
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: 936.1714, usercpu_time_millis: 1800, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1780,
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: 938.3115, usercpu_time_millis: 910, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 890,
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: 926.5859, usercpu_time_millis: 470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 460,
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: 935.6052, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3701, kb_relative_information_score: 390.2587, mean_absolute_error: 0.4674, 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: 0.9389, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6837, root_relative_squared_error: 1.3703, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, 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: 942.6192, usercpu_time_millis: 290, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8412, kappa: 0.681, kb_relative_information_score: 3496.9159, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8412, predictive_accuracy: 0.8412, prior_entropy: 0.9969, recall: 0.8412, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.6822, scimark_benchmark: 943.4741, usercpu_time_millis: 32490, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 32460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.8199, kappa: 0.6388, kb_relative_information_score: 2933.9881, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8206, predictive_accuracy: 0.8197, prior_entropy: 0.9969, recall: 0.8197, relative_absolute_error: 0.5996, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.7361, scimark_benchmark: 933.0918, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.847, kappa: 0.6929, kb_relative_information_score: 3844.7539, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8471, predictive_accuracy: 0.847, prior_entropy: 0.9969, recall: 0.847, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.6971, scimark_benchmark: 923.509, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8408, kappa: 0.6801, kb_relative_information_score: 3046.4922, mean_absolute_error: 0.2873, 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: 0.5771, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.348, root_relative_squared_error: 0.6976, scimark_benchmark: 930.0565, usercpu_time_millis: 720, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8442, kappa: 0.6871, kb_relative_information_score: 3857.5999, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8442, predictive_accuracy: 0.8442, prior_entropy: 0.9969, recall: 0.8442, relative_absolute_error: 0.4379, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.6631, scimark_benchmark: 934.929, usercpu_time_millis: 1590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.8292, kappa: 0.6595, kb_relative_information_score: 4314.2, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8351, predictive_accuracy: 0.8292, prior_entropy: 0.9969, recall: 0.8292, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8284, scimark_benchmark: 939.3886, usercpu_time_millis: 82730, usercpu_time_millis_testing: 20070, usercpu_time_millis_training: 62660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8461, kappa: 0.6911, kb_relative_information_score: 4159.0162, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8463, predictive_accuracy: 0.8461, prior_entropy: 0.9969, recall: 0.8461, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6607, scimark_benchmark: 938.838, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8461, kappa: 0.6911, kb_relative_information_score: 4159.0162, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8463, predictive_accuracy: 0.8461, prior_entropy: 0.9969, recall: 0.8461, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6607, scimark_benchmark: 945.0194, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8461, kappa: 0.6911, kb_relative_information_score: 4159.0162, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8463, predictive_accuracy: 0.8461, prior_entropy: 0.9969, recall: 0.8461, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6607, scimark_benchmark: 935.627, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8548, kappa: 0.7083, kb_relative_information_score: 4007.2025, mean_absolute_error: 0.2055, 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: 0.4128, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6418, scimark_benchmark: 935.627, usercpu_time_millis: 740, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 720,
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: 910.6607, usercpu_time_millis: 1697580, usercpu_time_millis_testing: 7860, usercpu_time_millis_training: 1689720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8461, kappa: 0.6911, kb_relative_information_score: 4159.0162, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8463, predictive_accuracy: 0.8461, prior_entropy: 0.9969, recall: 0.8461, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6607, scimark_benchmark: 952.4682, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
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: 928.8135, usercpu_time_millis: 1650, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1620,
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: 949.7766, usercpu_time_millis: 3330, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 2920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.847, kappa: 0.6929, kb_relative_information_score: 3844.7539, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8471, predictive_accuracy: 0.847, prior_entropy: 0.9969, recall: 0.847, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.6971, scimark_benchmark: 936.4883, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.8292, kappa: 0.6595, kb_relative_information_score: 4314.2, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8351, predictive_accuracy: 0.8292, prior_entropy: 0.9969, recall: 0.8292, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8284, scimark_benchmark: 1322.7279, usercpu_time_millis: 49820, usercpu_time_millis_testing: 5730, usercpu_time_millis_training: 44090,
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: 1346.2927, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8461, kappa: 0.6911, kb_relative_information_score: 4159.0162, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8463, predictive_accuracy: 0.8461, prior_entropy: 0.9969, recall: 0.8461, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6607, scimark_benchmark: 1332.1612, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.8292, kappa: 0.6595, kb_relative_information_score: 4314.2, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8351, predictive_accuracy: 0.8292, prior_entropy: 0.9969, recall: 0.8292, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8284, scimark_benchmark: 1295.609, usercpu_time_millis: 48230, usercpu_time_millis_testing: 11750, usercpu_time_millis_training: 36480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8461, kappa: 0.6911, kb_relative_information_score: 4159.0162, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8463, predictive_accuracy: 0.8461, prior_entropy: 0.9969, recall: 0.8461, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6607, scimark_benchmark: 1322.5413, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8548, kappa: 0.7083, kb_relative_information_score: 4007.2025, mean_absolute_error: 0.2055, 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: 0.4128, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6418, scimark_benchmark: 1318.6467, usercpu_time_millis: 810, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8408, kappa: 0.6801, kb_relative_information_score: 3046.4922, mean_absolute_error: 0.2873, 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: 0.5771, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.348, root_relative_squared_error: 0.6976, scimark_benchmark: 1346.2927, usercpu_time_millis: 650, usercpu_time_millis_training: 650,
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: 1332.9478, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8461, kappa: 0.6911, kb_relative_information_score: 4159.0162, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8463, predictive_accuracy: 0.8461, prior_entropy: 0.9969, recall: 0.8461, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6607, scimark_benchmark: 1353.0836, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8548, kappa: 0.7083, kb_relative_information_score: 4007.2025, mean_absolute_error: 0.2055, 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: 0.4128, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6418, scimark_benchmark: 1309.4998, usercpu_time_millis: 660, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 640,
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: 1340.9446, usercpu_time_millis: 1900, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1850,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8408, kappa: 0.6801, kb_relative_information_score: 3046.4922, mean_absolute_error: 0.2873, 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: 0.5771, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.348, root_relative_squared_error: 0.6976, scimark_benchmark: 1319.5773, usercpu_time_millis: 620, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8442, kappa: 0.6871, kb_relative_information_score: 3857.5999, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8442, predictive_accuracy: 0.8442, prior_entropy: 0.9969, recall: 0.8442, relative_absolute_error: 0.4379, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.6631, scimark_benchmark: 1314.2279, usercpu_time_millis: 1520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1510,
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: 1337.4384, usercpu_time_millis: 1023110, usercpu_time_millis_testing: 6880, usercpu_time_millis_training: 1016230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.8292, kappa: 0.6595, kb_relative_information_score: 4314.2, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8351, predictive_accuracy: 0.8292, prior_entropy: 0.9969, recall: 0.8292, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8284, scimark_benchmark: 1346.2927, usercpu_time_millis: 46330, usercpu_time_millis_testing: 6170, usercpu_time_millis_training: 40160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8461, kappa: 0.6911, kb_relative_information_score: 4159.0162, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8463, predictive_accuracy: 0.8461, prior_entropy: 0.9969, recall: 0.8461, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6607, scimark_benchmark: 1342.6744, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8461, kappa: 0.6911, kb_relative_information_score: 4159.0162, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8463, predictive_accuracy: 0.8461, prior_entropy: 0.9969, recall: 0.8461, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6607, scimark_benchmark: 1308.6872, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
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: 1347.7267, usercpu_time_millis: 3010, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 2620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.8292, kappa: 0.6595, kb_relative_information_score: 4314.2, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8351, predictive_accuracy: 0.8292, prior_entropy: 0.9969, recall: 0.8292, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8284, scimark_benchmark: 1344.0499, usercpu_time_millis: 98010, usercpu_time_millis_testing: 21760, usercpu_time_millis_training: 76250,
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: 1322.806, usercpu_time_millis: 1640, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1580,
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: 1333.202, usercpu_time_millis: 2770, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 2400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.8292, kappa: 0.6595, kb_relative_information_score: 4314.2, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8351, predictive_accuracy: 0.8292, prior_entropy: 0.9969, recall: 0.8292, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8284, scimark_benchmark: 1354.3488, usercpu_time_millis: 74990, usercpu_time_millis_testing: 17200, usercpu_time_millis_training: 57790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8461, kappa: 0.6911, kb_relative_information_score: 4159.0162, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8463, predictive_accuracy: 0.8461, prior_entropy: 0.9969, recall: 0.8461, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6607, scimark_benchmark: 1260.1387, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8461, kappa: 0.6911, kb_relative_information_score: 4159.0162, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8463, predictive_accuracy: 0.8461, prior_entropy: 0.9969, recall: 0.8461, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6607, scimark_benchmark: 1347.993, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
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: 1278.6629, usercpu_time_millis: 3430, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 2980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.847, kappa: 0.6929, kb_relative_information_score: 3844.7539, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8471, predictive_accuracy: 0.847, prior_entropy: 0.9969, recall: 0.847, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.6971, scimark_benchmark: 1320.9387, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8408, kappa: 0.6801, kb_relative_information_score: 3046.4922, mean_absolute_error: 0.2873, 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: 0.5771, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.348, root_relative_squared_error: 0.6976, scimark_benchmark: 1348.2476, usercpu_time_millis: 560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 550,
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: 932.5646, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, 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: 918.0213, usercpu_time_millis: 1532760, usercpu_time_millis_testing: 7320, usercpu_time_millis_training: 1525440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8461, kappa: 0.6911, kb_relative_information_score: 4159.0162, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8463, predictive_accuracy: 0.8461, prior_entropy: 0.9969, recall: 0.8461, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6607, scimark_benchmark: 1341.5795, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
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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: 1312.2688, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8461, kappa: 0.6911, kb_relative_information_score: 4159.0162, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8463, predictive_accuracy: 0.8461, prior_entropy: 0.9969, recall: 0.8461, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6607, scimark_benchmark: 1347.993, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8461, kappa: 0.6911, kb_relative_information_score: 4159.0162, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8463, predictive_accuracy: 0.8461, prior_entropy: 0.9969, recall: 0.8461, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6607, scimark_benchmark: 933.1165, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8461, kappa: 0.6911, kb_relative_information_score: 4159.0162, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8463, predictive_accuracy: 0.8461, prior_entropy: 0.9969, recall: 0.8461, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6607, scimark_benchmark: 933.1165, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8461, kappa: 0.6911, kb_relative_information_score: 4159.0162, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8463, predictive_accuracy: 0.8461, prior_entropy: 0.9969, recall: 0.8461, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6607, scimark_benchmark: 926.6704, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
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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