Task
Supervised Classification on ozone-level-8hr

Supervised Classification on ozone-level-8hr

Task 145855 Supervised Classification ozone-level-8hr 90654 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9063, kb_relative_information_score: 2.8445, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.9272, kappa: 0.2752, kb_relative_information_score: -480.1074, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9282, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7327, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.8765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6347, f_measure: 0.9253, kappa: 0.3266, kb_relative_information_score: 159.8176, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9215, predictive_accuracy: 0.9305, prior_entropy: 0.3411, recall: 0.9305, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.9779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.9247, kappa: 0.2708, kb_relative_information_score: -908.9144, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9206, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.9172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9063, kb_relative_information_score: -5.6654, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.9274, kappa: 0.2903, kb_relative_information_score: -700.4057, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9251, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.9242, kappa: 0.2818, kb_relative_information_score: 540.2254, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9191, predictive_accuracy: 0.9341, prior_entropy: 0.3411, recall: 0.9341, relative_absolute_error: 0.5496, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2493, root_relative_squared_error: 1.0252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.9142, kappa: 0.1651, kb_relative_information_score: -1006.2395, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9059, predictive_accuracy: 0.9286, prior_entropy: 0.3411, recall: 0.9286, relative_absolute_error: 0.8238, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.9955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.92, kappa: 0.2859, kb_relative_information_score: -54.4595, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9162, predictive_accuracy: 0.9246, prior_entropy: 0.3411, recall: 0.9246, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2546, root_relative_squared_error: 1.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.7703, kappa: 0.161, kb_relative_information_score: -16311.7105, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9297, predictive_accuracy: 0.691, prior_entropy: 0.3411, recall: 0.691, relative_absolute_error: 3.4924, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.462, root_relative_squared_error: 1.8997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5302, f_measure: 0.9063, kb_relative_information_score: 629.7907, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2495, root_relative_squared_error: 1.0257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.9289, kappa: 0.3033, kb_relative_information_score: -667.6506, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9278, predictive_accuracy: 0.9416, prior_entropy: 0.3411, recall: 0.9416, relative_absolute_error: 0.7125, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.8978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.8157, kappa: 0.2127, kb_relative_information_score: -5431.9927, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9327, predictive_accuracy: 0.7537, prior_entropy: 0.3411, recall: 0.7537, relative_absolute_error: 2.0777, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.4739, root_relative_squared_error: 1.9485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9063, kb_relative_information_score: -5.6654, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.9254, kappa: 0.2601, kb_relative_information_score: -729.9314, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9242, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.7404, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.8894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.9071, kappa: 0.0108, kb_relative_information_score: -839.392, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9096, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.9195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9063, kb_relative_information_score: -5.6654, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.9159, kappa: 0.1447, kb_relative_information_score: -1676.7336, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9117, predictive_accuracy: 0.9357, prior_entropy: 0.3411, recall: 0.9357, relative_absolute_error: 0.8498, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2444, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9063, kb_relative_information_score: 3.4445, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.9279, kappa: 0.2898, kb_relative_information_score: -794.1213, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9269, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.9254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.9243, kappa: 0.3676, kb_relative_information_score: -664.7479, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9252, predictive_accuracy: 0.9234, prior_entropy: 0.3411, recall: 0.9234, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.9161, kappa: 0.2798, kb_relative_information_score: -54.564, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9148, predictive_accuracy: 0.9175, prior_entropy: 0.3411, recall: 0.9175, relative_absolute_error: 0.7528, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2784, root_relative_squared_error: 1.1446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.7706, kappa: 0.1613, kb_relative_information_score: -6973.5286, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9298, predictive_accuracy: 0.6914, prior_entropy: 0.3411, recall: 0.6914, relative_absolute_error: 2.6036, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.5501, root_relative_squared_error: 2.2616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 614.1499, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.5323, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2513, root_relative_squared_error: 1.0331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7463, kappa: 0.1349, kb_relative_information_score: -8288.9001, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9262, predictive_accuracy: 0.659, prior_entropy: 0.3411, recall: 0.659, relative_absolute_error: 2.8502, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.5594, root_relative_squared_error: 2.2998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.9272, kappa: 0.2602, kb_relative_information_score: -569.2979, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9357, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7538, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.8443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.7715, kappa: 0.1621, kb_relative_information_score: -7164.958, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9298, predictive_accuracy: 0.6926, prior_entropy: 0.3411, recall: 0.6926, relative_absolute_error: 2.5779, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.5373, root_relative_squared_error: 2.2091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 614.1499, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.5323, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2513, root_relative_squared_error: 1.0331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.8066, kappa: 0.1884, kb_relative_information_score: -5581.6547, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.928, predictive_accuracy: 0.7411, prior_entropy: 0.3411, recall: 0.7411, relative_absolute_error: 2.1878, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.4978, root_relative_squared_error: 2.0465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.9161, kappa: 0.2798, kb_relative_information_score: -54.564, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9148, predictive_accuracy: 0.9175, prior_entropy: 0.3411, recall: 0.9175, relative_absolute_error: 0.7528, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2784, root_relative_squared_error: 1.1446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9063, kb_relative_information_score: 614.1499, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.5323, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2513, root_relative_squared_error: 1.0331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.9259, kappa: 0.2479, kb_relative_information_score: -741.2383, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9322, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7831, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.8616, scimark_benchmark: 1855.0232, usercpu_time_millis: 85.245, usercpu_time_millis_testing: 0.88, usercpu_time_millis_training: 84.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.9261, kappa: 0.2529, kb_relative_information_score: -720.894, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9306, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.7768, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.8601, scimark_benchmark: 1732.6558, usercpu_time_millis: 73.159, usercpu_time_millis_testing: 0.939, usercpu_time_millis_training: 72.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.9232, kappa: 0.2102, kb_relative_information_score: -774.4241, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.934, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.8619, scimark_benchmark: 1747.5416, usercpu_time_millis: 32.227, usercpu_time_millis_testing: 0.705, usercpu_time_millis_training: 31.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.9278, kappa: 0.2716, kb_relative_information_score: -779.5592, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9334, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.8568, scimark_benchmark: 1825.8883, usercpu_time_millis: 31.722, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 31.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.9245, kappa: 0.2267, kb_relative_information_score: -841.1451, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.934, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.8059, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.8597, scimark_benchmark: 1830.833, usercpu_time_millis: 34.553, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 34.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.9146, kappa: 0.1059, kb_relative_information_score: -1010.0579, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9262, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.8814, scimark_benchmark: 1820.8183, usercpu_time_millis: 14.687, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 14.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.9222, kappa: 0.1993, kb_relative_information_score: -855.6479, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9313, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8639, scimark_benchmark: 1849.8294, usercpu_time_millis: 20.904, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 20.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.9063, kb_relative_information_score: -1467.3103, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.9446, scimark_benchmark: 1817.1937, usercpu_time_millis: 10.824, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 10.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.9234, kappa: 0.2159, kb_relative_information_score: -832.0942, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9315, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.8088, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.8624, scimark_benchmark: 1854.3038, usercpu_time_millis: 14.989, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 14.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.9063, kb_relative_information_score: -1119.7081, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9457, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.9638, scimark_benchmark: 1849.7595, usercpu_time_millis: 3.899, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 3.46,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.9063, kb_relative_information_score: -1106.1323, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.928, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.9477, scimark_benchmark: 1731.2507, usercpu_time_millis: 4.441, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 3.951,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -994.5291, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8468, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.8901, scimark_benchmark: 1732.1953, usercpu_time_millis: 6.189, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 5.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.9211, kappa: 0.1884, kb_relative_information_score: -930.4772, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9286, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.8678, scimark_benchmark: 1736.7788, usercpu_time_millis: 6.408, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 6.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.9133, kappa: 0.0873, kb_relative_information_score: -689.3046, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9392, prior_entropy: 0.3411, recall: 0.9392, relative_absolute_error: 0.8121, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.211, root_relative_squared_error: 0.8677, scimark_benchmark: 1778.5623, usercpu_time_millis: 23.296, usercpu_time_millis_testing: 2.249, usercpu_time_millis_training: 21.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.9059, kappa: -0.0016, kb_relative_information_score: -1094.3525, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9361, prior_entropy: 0.3411, recall: 0.9361, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.9103, scimark_benchmark: 1774.6575, usercpu_time_millis: 51.239, usercpu_time_millis_testing: 0.975, usercpu_time_millis_training: 50.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.9253, kappa: 0.232, kb_relative_information_score: -677.6403, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9394, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8538, scimark_benchmark: 758.167, usercpu_time_millis: 41.193, usercpu_time_millis_testing: 1.535, usercpu_time_millis_training: 39.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.908, kappa: 0.0223, kb_relative_information_score: -996.8671, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9205, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.8389, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.8877, scimark_benchmark: 1701.8355, usercpu_time_millis: 31.212, usercpu_time_millis_testing: 0.566, usercpu_time_millis_training: 30.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9063, kb_relative_information_score: 3.672, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2432, root_relative_squared_error: 1, scimark_benchmark: 1762.1058, usercpu_time_millis: 2.567, usercpu_time_millis_testing: 0.567, usercpu_time_millis_training: 2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.9265, kappa: 0.2515, kb_relative_information_score: -834.4181, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9349, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.8616, scimark_benchmark: 1741.935, usercpu_time_millis: 6.553, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 6.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.9063, kb_relative_information_score: -1395.7498, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9153, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.9435, scimark_benchmark: 1742.7834, usercpu_time_millis: 4.867, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 4.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.9232, kappa: 0.2102, kb_relative_information_score: -860.6208, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.934, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.8611, scimark_benchmark: 1703.9656, usercpu_time_millis: 35.442, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 35.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.9073, kappa: 0.0116, kb_relative_information_score: -1380.8723, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9412, predictive_accuracy: 0.9373, prior_entropy: 0.3411, recall: 0.9373, relative_absolute_error: 0.9138, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.9397, scimark_benchmark: 1732.1881, usercpu_time_millis: 4.519, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 4.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -1018.0868, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.8898, scimark_benchmark: 1830.2622, usercpu_time_millis: 63.778, usercpu_time_millis_testing: 0.853, usercpu_time_millis_training: 62.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.9063, kb_relative_information_score: -1583.4309, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9369, prior_entropy: 0.3411, recall: 0.9369, relative_absolute_error: 0.9215, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.9509, scimark_benchmark: 1848.2615, usercpu_time_millis: 59.457, usercpu_time_millis_testing: 0.555, usercpu_time_millis_training: 58.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.9061, kappa: -0.0008, kb_relative_information_score: -1187.6505, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8777, predictive_accuracy: 0.9365, prior_entropy: 0.3411, recall: 0.9365, relative_absolute_error: 0.8695, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.9115, scimark_benchmark: 1844.4224, usercpu_time_millis: 59.883, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 59.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.9164, kappa: 0.1263, kb_relative_information_score: -931.2777, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9291, predictive_accuracy: 0.94, prior_entropy: 0.3411, recall: 0.94, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.8776, scimark_benchmark: 1836.6101, usercpu_time_millis: 54.302, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 53.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.9255, kappa: 0.2409, kb_relative_information_score: -649.9984, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9327, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7791, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.8474, scimark_benchmark: 1845.7835, usercpu_time_millis: 49.006, usercpu_time_millis_testing: 1.648, usercpu_time_millis_training: 47.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.909, kappa: 0.0336, kb_relative_information_score: -940.6379, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9261, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8296, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.8823, scimark_benchmark: 1846.6923, usercpu_time_millis: 40.172, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 39.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.9099, kappa: 0.0448, kb_relative_information_score: -1015.9022, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9296, predictive_accuracy: 0.938, prior_entropy: 0.3411, recall: 0.938, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.8873, scimark_benchmark: 1855.4813, usercpu_time_millis: 29.911, usercpu_time_millis_testing: 0.549, usercpu_time_millis_training: 29.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.928, kappa: 0.2762, kb_relative_information_score: -729.7006, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.932, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.8619, scimark_benchmark: 1834.698, usercpu_time_millis: 21.113, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 20.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.9174, kappa: 0.1676, kb_relative_information_score: -840.3467, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9131, predictive_accuracy: 0.9357, prior_entropy: 0.3411, recall: 0.9357, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.8894, scimark_benchmark: 1815.141, usercpu_time_millis: 18.72, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 18.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.9246, kappa: 0.2357, kb_relative_information_score: -698.6358, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9289, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.8497, scimark_benchmark: 1822.3184, usercpu_time_millis: 16.369, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 16.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.9263, kappa: 0.2463, kb_relative_information_score: -656.9435, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9372, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.8491, scimark_benchmark: 1834.1671, usercpu_time_millis: 15.604, usercpu_time_millis_testing: 0.743, usercpu_time_millis_training: 14.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.9082, kappa: 0.0232, kb_relative_information_score: -1078.618, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9415, predictive_accuracy: 0.9376, prior_entropy: 0.3411, recall: 0.9376, relative_absolute_error: 0.8721, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.9057, scimark_benchmark: 1854.4951, usercpu_time_millis: 11.251, usercpu_time_millis_testing: 0.725, usercpu_time_millis_training: 10.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.9248, kappa: 0.2284, kb_relative_information_score: -673.8011, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9357, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.8523, scimark_benchmark: 1846.2342, usercpu_time_millis: 11.959, usercpu_time_millis_testing: 0.624, usercpu_time_millis_training: 11.335,

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