Task
Supervised Classification on wind

Supervised Classification on wind

Task 4417 Supervised Classification wind 208 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, build_cpu_time: 23.0132, build_memory: 911678297.4446, f_measure: 0.8561, kappa: 0.711, kb_relative_information_score: 46611.7404, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8561, predictive_accuracy: 0.8562, prior_entropy: 0.9969, recall: 0.8562, relative_absolute_error: 0.291, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7224, scimark_benchmark: 939.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, build_cpu_time: 6.0201, build_memory: 289967682.2138, f_measure: 0.851, kappa: 0.7007, kb_relative_information_score: 45909.9058, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.851, predictive_accuracy: 0.8511, prior_entropy: 0.9969, recall: 0.8511, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7379, scimark_benchmark: 942.0655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, build_cpu_time: 10.664, build_memory: 128450230.8616, f_measure: 0.8551, kappa: 0.7089, kb_relative_information_score: 46424.3796, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8551, predictive_accuracy: 0.8551, prior_entropy: 0.9969, recall: 0.8551, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7265, scimark_benchmark: 845.9233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, build_cpu_time: 43.0137, build_memory: 1651494430.1482, f_measure: 0.8591, kappa: 0.7169, kb_relative_information_score: 46900.4281, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8591, predictive_accuracy: 0.8591, prior_entropy: 0.9969, recall: 0.8591, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7153, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, build_cpu_time: 72.4509, build_memory: 637606984.3125, f_measure: 0.8602, kappa: 0.7192, kb_relative_information_score: 47009.6099, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8602, predictive_accuracy: 0.8602, prior_entropy: 0.9969, recall: 0.8602, relative_absolute_error: 0.2852, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.7145, scimark_benchmark: 941.2906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, build_cpu_time: 7.2438, build_memory: 2101087196.4965, f_measure: 0.8626, kappa: 0.724, kb_relative_information_score: 41242.0057, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8626, predictive_accuracy: 0.8626, prior_entropy: 0.9969, recall: 0.8626, relative_absolute_error: 0.394, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6269, scimark_benchmark: 938.6268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8597, kappa: 0.7181, kb_relative_information_score: 41158.9442, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8597, predictive_accuracy: 0.8597, prior_entropy: 0.9969, recall: 0.8597, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, build_cpu_time: 14.2638, build_memory: 816951327.0327, f_measure: 0.8641, kappa: 0.727, kb_relative_information_score: 41269.8525, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8641, predictive_accuracy: 0.8641, prior_entropy: 0.9969, recall: 0.8641, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.624, scimark_benchmark: 943.0214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, build_cpu_time: 17.7657, build_memory: 854318419.5439, f_measure: 0.8641, kappa: 0.727, kb_relative_information_score: 41269.8525, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8641, predictive_accuracy: 0.8641, prior_entropy: 0.9969, recall: 0.8641, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.624, scimark_benchmark: 943.2228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, build_cpu_time: 251.1592, build_memory: 309382327.9925, f_measure: 0.8649, kappa: 0.7285, kb_relative_information_score: 40260.9796, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8656, predictive_accuracy: 0.8652, prior_entropy: 0.9969, recall: 0.8652, relative_absolute_error: 0.4172, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6269, scimark_benchmark: 935.0729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, build_cpu_time: 29.632, build_memory: 266943898.2366, f_measure: 0.8646, kappa: 0.728, kb_relative_information_score: 41285.8517, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8646, predictive_accuracy: 0.8646, prior_entropy: 0.9969, recall: 0.8646, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6223, scimark_benchmark: 946.4092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8533, kappa: 0.7052, kb_relative_information_score: 45197.4112, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8533, predictive_accuracy: 0.8533, prior_entropy: 0.9969, recall: 0.8533, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.7187, scimark_benchmark: 939.9176, usercpu_time_millis: 17510, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 17480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.811, kappa: 0.6204, kb_relative_information_score: 40363.6184, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.811, predictive_accuracy: 0.811, prior_entropy: 0.9969, recall: 0.811, relative_absolute_error: 0.3865, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8323, scimark_benchmark: 889.3151, usercpu_time_millis: 1790, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8472, kappa: 0.693, kb_relative_information_score: 38670.1101, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8472, predictive_accuracy: 0.8472, prior_entropy: 0.9969, recall: 0.8472, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.6601, scimark_benchmark: 1327.2954, usercpu_time_millis: 1370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8479, kappa: 0.6946, kb_relative_information_score: 41642.5482, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.848, predictive_accuracy: 0.8479, prior_entropy: 0.9969, recall: 0.8479, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6604, scimark_benchmark: 1297.2338, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.811, kappa: 0.6204, kb_relative_information_score: 40363.6184, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.811, predictive_accuracy: 0.811, prior_entropy: 0.9969, recall: 0.811, relative_absolute_error: 0.3865, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8323, scimark_benchmark: 1344.4042, usercpu_time_millis: 1940, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.8646, kappa: 0.728, kb_relative_information_score: 40003.8321, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8647, predictive_accuracy: 0.8647, prior_entropy: 0.9969, recall: 0.8647, relative_absolute_error: 0.4173, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6268, scimark_benchmark: 1319.6463, usercpu_time_millis: 3100, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 2670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8565, kappa: 0.7116, kb_relative_information_score: 41485.6887, mean_absolute_error: 0.1932, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8565, predictive_accuracy: 0.8566, prior_entropy: 0.9969, recall: 0.8566, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6402, scimark_benchmark: 1333.5799, usercpu_time_millis: 2850, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.8269, kappa: 0.6523, kb_relative_information_score: 42844.1829, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8269, predictive_accuracy: 0.8269, prior_entropy: 0.9969, recall: 0.8269, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8338, scimark_benchmark: 1341.2341, usercpu_time_millis: 820, usercpu_time_millis_testing: 10, 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: -0.0623, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, 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: 1503.3362, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8511, kappa: 0.7008, kb_relative_information_score: 40595.3543, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8512, predictive_accuracy: 0.8513, prior_entropy: 0.9969, recall: 0.8513, relative_absolute_error: 0.4024, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6508, scimark_benchmark: 882.7843, usercpu_time_millis: 940, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.8547, kappa: 0.708, kb_relative_information_score: 41066.7117, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8548, predictive_accuracy: 0.8548, prior_entropy: 0.9969, recall: 0.8548, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6445, scimark_benchmark: 1384.4418, usercpu_time_millis: 1520, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8391, kappa: 0.6768, kb_relative_information_score: 40167.7448, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8391, predictive_accuracy: 0.839, prior_entropy: 0.9969, recall: 0.839, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.6845, scimark_benchmark: 1330.0803, usercpu_time_millis: 490, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.8398, kappa: 0.6783, kb_relative_information_score: 37285.1838, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8399, predictive_accuracy: 0.8398, prior_entropy: 0.9969, recall: 0.8398, relative_absolute_error: 0.4627, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.706, scimark_benchmark: 1301.9956, usercpu_time_millis: 970, usercpu_time_millis_training: 970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.808, kappa: 0.6141, kb_relative_information_score: 40391.2165, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8084, predictive_accuracy: 0.8084, prior_entropy: 0.9969, recall: 0.8084, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8773, scimark_benchmark: 1465.2979, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.7504, kappa: 0.5045, kb_relative_information_score: 33710.4549, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.7765, predictive_accuracy: 0.7579, prior_entropy: 0.9969, recall: 0.7579, relative_absolute_error: 0.4863, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.9862, scimark_benchmark: 905.1217, usercpu_time_millis: 2540, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 2060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, build_cpu_time: 1138.9344, build_memory: 850595223.5521, f_measure: 0.8653, kappa: 0.7295, kb_relative_information_score: 41538.4689, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8653, predictive_accuracy: 0.8653, prior_entropy: 0.9969, recall: 0.8653, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.619, scimark_benchmark: 942.0655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.8382, kappa: 0.6749, kb_relative_information_score: 30456.98, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8383, predictive_accuracy: 0.8384, prior_entropy: 0.9969, recall: 0.8384, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.348, root_relative_squared_error: 0.6976, scimark_benchmark: 918.6005, usercpu_time_millis: 700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8462, kappa: 0.6911, kb_relative_information_score: 35943.6999, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8462, predictive_accuracy: 0.8463, prior_entropy: 0.9969, recall: 0.8463, relative_absolute_error: 0.4868, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.6621, scimark_benchmark: 1345.0332, usercpu_time_millis: 890, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8472, kappa: 0.693, kb_relative_information_score: 38670.1101, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8472, predictive_accuracy: 0.8472, prior_entropy: 0.9969, recall: 0.8472, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.6601, scimark_benchmark: 1331.0755, usercpu_time_millis: 1350, usercpu_time_millis_training: 1350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8479, kappa: 0.6946, kb_relative_information_score: 41642.5482, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.848, predictive_accuracy: 0.8479, prior_entropy: 0.9969, recall: 0.8479, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6604, scimark_benchmark: 1354.3488, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8479, kappa: 0.6946, kb_relative_information_score: 41642.5482, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.848, predictive_accuracy: 0.8479, prior_entropy: 0.9969, recall: 0.8479, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6604, scimark_benchmark: 1354.7191, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.8646, kappa: 0.728, kb_relative_information_score: 40003.8321, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8647, predictive_accuracy: 0.8647, prior_entropy: 0.9969, recall: 0.8647, relative_absolute_error: 0.4173, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6268, scimark_benchmark: 1354.7191, usercpu_time_millis: 3400, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 2830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.8109, kappa: 0.6202, kb_relative_information_score: 40345.2767, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8109, 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: 0.4154, root_relative_squared_error: 0.8325, scimark_benchmark: 933.1165, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8479, kappa: 0.6946, kb_relative_information_score: 41642.5482, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.848, predictive_accuracy: 0.8479, prior_entropy: 0.9969, recall: 0.8479, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6604, scimark_benchmark: 1335.5424, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8624, kappa: 0.7236, kb_relative_information_score: 40430.9626, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8624, predictive_accuracy: 0.8624, prior_entropy: 0.9969, recall: 0.8624, relative_absolute_error: 0.4095, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6284, scimark_benchmark: 1321.527, usercpu_time_millis: 2250, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.86, kappa: 0.7188, kb_relative_information_score: 40374.7178, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9969, recall: 0.86, relative_absolute_error: 0.4095, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.633, scimark_benchmark: 1291.6995, usercpu_time_millis: 1190, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.8314, kappa: 0.6613, kb_relative_information_score: 37827.784, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8314, predictive_accuracy: 0.8315, prior_entropy: 0.9969, recall: 0.8315, relative_absolute_error: 0.4471, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.6945, scimark_benchmark: 933.3136, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8401, kappa: 0.6789, kb_relative_information_score: 39217.1319, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8401, predictive_accuracy: 0.8402, prior_entropy: 0.9969, recall: 0.8402, relative_absolute_error: 0.4181, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.6852, scimark_benchmark: 1313.9994, usercpu_time_millis: 3300, usercpu_time_millis_testing: 3300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.8323, kappa: 0.6631, kb_relative_information_score: 39698.3457, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8323, predictive_accuracy: 0.8323, prior_entropy: 0.9969, recall: 0.8323, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.7159, scimark_benchmark: 942.9518, usercpu_time_millis: 4720, usercpu_time_millis_testing: 4720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8438, kappa: 0.6861, kb_relative_information_score: 39504.3797, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8439, predictive_accuracy: 0.844, prior_entropy: 0.9969, recall: 0.844, relative_absolute_error: 0.4202, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6651, scimark_benchmark: 937.1527, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.8297, kappa: 0.6577, kb_relative_information_score: 43270.7857, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8305, predictive_accuracy: 0.8301, prior_entropy: 0.9969, recall: 0.8301, relative_absolute_error: 0.3411, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.826, 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: 0.9451, f_measure: 0.8675, kappa: 0.7337, kb_relative_information_score: 42238.456, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8675, predictive_accuracy: 0.8676, prior_entropy: 0.9969, recall: 0.8676, relative_absolute_error: 0.3786, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.613, scimark_benchmark: 854.5188, usercpu_time_millis: 1702320, usercpu_time_millis_testing: 7660, usercpu_time_millis_training: 1694660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.8544, kappa: 0.7072, kb_relative_information_score: 46500.4913, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8546, predictive_accuracy: 0.8546, prior_entropy: 0.9969, recall: 0.8546, relative_absolute_error: 0.2921, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7643, scimark_benchmark: 1318.5526, usercpu_time_millis: 820, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.8387, kappa: 0.6768, kb_relative_information_score: 44385.5875, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8398, predictive_accuracy: 0.8386, prior_entropy: 0.9969, recall: 0.8386, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8053, scimark_benchmark: 1304.9611, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.8382, kappa: 0.6749, kb_relative_information_score: 30456.98, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8383, predictive_accuracy: 0.8384, prior_entropy: 0.9969, recall: 0.8384, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.348, root_relative_squared_error: 0.6976, scimark_benchmark: 1328.941, usercpu_time_millis: 580, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.8358, kappa: 0.67, kb_relative_information_score: 36497.1959, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8359, predictive_accuracy: 0.8359, prior_entropy: 0.9969, recall: 0.8359, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7422, scimark_benchmark: 1328.941, usercpu_time_millis: 1420, usercpu_time_millis_training: 1420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.8087, kappa: 0.6153, kb_relative_information_score: 40161.6741, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8099, predictive_accuracy: 0.8093, prior_entropy: 0.9969, recall: 0.8093, relative_absolute_error: 0.3895, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8385, scimark_benchmark: 922.1419, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7845, kappa: 0.5671, kb_relative_information_score: 37231.9407, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.7845, predictive_accuracy: 0.7845, prior_entropy: 0.9969, recall: 0.7845, relative_absolute_error: 0.4328, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9304, scimark_benchmark: 1464.9318, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8479, kappa: 0.6946, kb_relative_information_score: 41642.5482, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.848, predictive_accuracy: 0.8479, prior_entropy: 0.9969, recall: 0.8479, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6604, scimark_benchmark: 933.1165, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8479, kappa: 0.6946, kb_relative_information_score: 41642.5482, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.848, predictive_accuracy: 0.8479, prior_entropy: 0.9969, recall: 0.8479, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6604, scimark_benchmark: 933.1165, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.8523, kappa: 0.7032, kb_relative_information_score: 40339.5833, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8525, predictive_accuracy: 0.8525, prior_entropy: 0.9969, recall: 0.8525, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.6409, scimark_benchmark: 1276.5165, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.8524, kappa: 0.7035, kb_relative_information_score: 46226.8215, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8524, predictive_accuracy: 0.8525, prior_entropy: 0.9969, recall: 0.8525, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7698, scimark_benchmark: 1330.7934, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.8132, kappa: 0.626, kb_relative_information_score: 29280.5091, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8152, predictive_accuracy: 0.813, prior_entropy: 0.9969, recall: 0.813, relative_absolute_error: 0.5991, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7783, scimark_benchmark: 1334.8495, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.8225, kappa: 0.6435, kb_relative_information_score: 37227.5943, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8225, predictive_accuracy: 0.8225, prior_entropy: 0.9969, recall: 0.8225, relative_absolute_error: 0.4543, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7526, scimark_benchmark: 1292.1375, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.8225, kappa: 0.6435, kb_relative_information_score: 37227.5943, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8225, predictive_accuracy: 0.8225, prior_entropy: 0.9969, recall: 0.8225, relative_absolute_error: 0.4543, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7526, scimark_benchmark: 1333.5799, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8592, kappa: 0.7172, kb_relative_information_score: 39710.5375, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8592, predictive_accuracy: 0.8592, prior_entropy: 0.9969, recall: 0.8592, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6373, scimark_benchmark: 896.2181, usercpu_time_millis: 4470, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 3960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.8646, kappa: 0.728, kb_relative_information_score: 40003.8321, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8647, predictive_accuracy: 0.8647, prior_entropy: 0.9969, recall: 0.8647, relative_absolute_error: 0.4173, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6268, scimark_benchmark: 945.6228, usercpu_time_millis: 3230, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 2850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.8659, kappa: 0.7306, kb_relative_information_score: 39917.7029, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8659, predictive_accuracy: 0.8659, prior_entropy: 0.9969, recall: 0.8659, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6232, scimark_benchmark: 933.4823, usercpu_time_millis: 33420, usercpu_time_millis_testing: 5540, usercpu_time_millis_training: 27880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8661, kappa: 0.731, kb_relative_information_score: 39897.6203, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8661, predictive_accuracy: 0.8661, prior_entropy: 0.9969, recall: 0.8661, relative_absolute_error: 0.4221, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.6228, scimark_benchmark: 945.6228, usercpu_time_millis: 77930, usercpu_time_millis_testing: 22560, usercpu_time_millis_training: 55370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8644, kappa: 0.7276, kb_relative_information_score: 39864.2535, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.8644, predictive_accuracy: 0.8645, prior_entropy: 0.9969, recall: 0.8645, relative_absolute_error: 0.4221, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.6256, scimark_benchmark: 935.3212, usercpu_time_millis: 15310, usercpu_time_millis_testing: 1950, usercpu_time_millis_training: 13360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8479, kappa: 0.6946, kb_relative_information_score: 41642.5482, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.848, predictive_accuracy: 0.8479, prior_entropy: 0.9969, recall: 0.8479, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6604, scimark_benchmark: 944.0133, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8479, kappa: 0.6946, kb_relative_information_score: 41642.5482, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4979, number_of_instances: 65740, precision: 0.848, predictive_accuracy: 0.8479, prior_entropy: 0.9969, recall: 0.8479, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6604, scimark_benchmark: 1317.5857, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,

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