Task
Supervised Classification on ipums_la_99-small

Supervised Classification on ipums_la_99-small

Task 3881 Supervised Classification ipums_la_99-small 465 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.9124, kappa: 0.1058, kb_relative_information_score: 2193.9934, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9131, predictive_accuracy: 0.9362, prior_entropy: 0.3444, recall: 0.9362, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2525, root_relative_squared_error: 1.0301, scimark_benchmark: 744.2969, usercpu_time_millis: 1116990, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1116910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.5889, kappa: 0.0864, kb_relative_information_score: -46707.8108, mean_absolute_error: 0.5213, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9373, predictive_accuracy: 0.4795, prior_entropy: 0.3444, recall: 0.4795, relative_absolute_error: 4.3338, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.7123, root_relative_squared_error: 2.9056, scimark_benchmark: 1325.3706, usercpu_time_millis: 300, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.9076, kappa: 0.0764, kb_relative_information_score: -1095.3826, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8958, predictive_accuracy: 0.9292, prior_entropy: 0.3444, recall: 0.9292, relative_absolute_error: 0.8405, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.9677, scimark_benchmark: 1287.6195, usercpu_time_millis: 53860, usercpu_time_millis_testing: 1140, usercpu_time_millis_training: 52720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.9213, kappa: 0.2348, kb_relative_information_score: -2713.7185, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9178, predictive_accuracy: 0.9362, prior_entropy: 0.3444, recall: 0.9362, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.9233, scimark_benchmark: 1357.1949, usercpu_time_millis: 21340, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 21290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5719, f_measure: 0.9011, kappa: 0.1522, kb_relative_information_score: -1153.4422, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8982, predictive_accuracy: 0.9041, prior_entropy: 0.3444, recall: 0.9041, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3096, root_relative_squared_error: 1.2629, scimark_benchmark: 1374.3337, usercpu_time_millis: 21960, usercpu_time_millis_testing: 21910, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.9089, kappa: 0.065, kb_relative_information_score: -3230.9729, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9035, predictive_accuracy: 0.9344, prior_entropy: 0.3444, recall: 0.9344, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.8994, scimark_benchmark: 1195.6316, usercpu_time_millis: 4470, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5712, f_measure: 0.9175, kappa: 0.1928, kb_relative_information_score: 265.233, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9126, predictive_accuracy: 0.9341, prior_entropy: 0.3444, recall: 0.9341, relative_absolute_error: 0.9217, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.9799, scimark_benchmark: 983.0735, usercpu_time_millis: 970, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5366, f_measure: 0.9137, kappa: 0.1219, kb_relative_information_score: 2241.0872, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9151, predictive_accuracy: 0.9367, prior_entropy: 0.3444, recall: 0.9367, relative_absolute_error: 0.5264, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2516, root_relative_squared_error: 1.0264, scimark_benchmark: 1618.1738, usercpu_time_millis: 3531.25, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 3500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.9126, kappa: 0.1174, kb_relative_information_score: -3091.4715, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9084, predictive_accuracy: 0.9345, prior_entropy: 0.3444, recall: 0.9345, relative_absolute_error: 0.8305, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.9401, scimark_benchmark: 1925.3565, usercpu_time_millis: 312.5, usercpu_time_millis_training: 312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.9098, kappa: 0.066, kb_relative_information_score: -3592.9372, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9181, predictive_accuracy: 0.9368, prior_entropy: 0.3444, recall: 0.9368, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.224, root_relative_squared_error: 0.9138, scimark_benchmark: 1925.3565, usercpu_time_millis: 3578.125, usercpu_time_millis_testing: 875, usercpu_time_millis_training: 2703.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, f_measure: 0.9047, kb_relative_information_score: 888.2013, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8757, predictive_accuracy: 0.9358, prior_entropy: 0.3444, recall: 0.9358, relative_absolute_error: 0.8082, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.992, scimark_benchmark: 1925.3565, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.9128, kappa: 0.1246, kb_relative_information_score: -3378.9929, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9075, predictive_accuracy: 0.9339, prior_entropy: 0.3444, recall: 0.9339, relative_absolute_error: 0.8618, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.236, root_relative_squared_error: 0.9625, scimark_benchmark: 1925.3565, usercpu_time_millis: 234.375, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.5889, kappa: 0.0864, kb_relative_information_score: -46707.8108, mean_absolute_error: 0.5213, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9373, predictive_accuracy: 0.4795, prior_entropy: 0.3444, recall: 0.4795, relative_absolute_error: 4.3338, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.7123, root_relative_squared_error: 2.9056, scimark_benchmark: 1925.3565, usercpu_time_millis: 140.625, usercpu_time_millis_testing: 93.75, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.9124, kappa: 0.1058, kb_relative_information_score: 2193.9934, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9131, predictive_accuracy: 0.9362, prior_entropy: 0.3444, recall: 0.9362, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2525, root_relative_squared_error: 1.0301, scimark_benchmark: 1925.3565, usercpu_time_millis: 410125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 410093.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5366, f_measure: 0.9137, kappa: 0.1219, kb_relative_information_score: 2241.0872, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9151, predictive_accuracy: 0.9367, prior_entropy: 0.3444, recall: 0.9367, relative_absolute_error: 0.5264, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2516, root_relative_squared_error: 1.0264, scimark_benchmark: 1925.3565, usercpu_time_millis: 2656.25, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.9149, kappa: 0.17, kb_relative_information_score: -1151.7437, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9079, predictive_accuracy: 0.9315, prior_entropy: 0.3444, recall: 0.9315, relative_absolute_error: 0.8426, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.9615, scimark_benchmark: 1925.3565, usercpu_time_millis: 28937.5, usercpu_time_millis_testing: 1109.375, usercpu_time_millis_training: 27828.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.9212, kappa: 0.2344, kb_relative_information_score: -2731.2707, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9176, predictive_accuracy: 0.9361, prior_entropy: 0.3444, recall: 0.9361, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.9241, scimark_benchmark: 1925.3565, usercpu_time_millis: 12015.625, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 11984.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5719, f_measure: 0.9011, kappa: 0.1522, kb_relative_information_score: -1153.4422, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8982, predictive_accuracy: 0.9041, prior_entropy: 0.3444, recall: 0.9041, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3096, root_relative_squared_error: 1.2629, scimark_benchmark: 1925.3565, usercpu_time_millis: 18953.125, usercpu_time_millis_testing: 18921.875, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.9089, kappa: 0.065, kb_relative_information_score: -3230.9729, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9035, predictive_accuracy: 0.9344, prior_entropy: 0.3444, recall: 0.9344, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.8994, scimark_benchmark: 1892.0925, usercpu_time_millis: 3906.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 3890.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.9221, kappa: 0.2481, kb_relative_information_score: 502.9773, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9182, predictive_accuracy: 0.936, prior_entropy: 0.3444, recall: 0.936, relative_absolute_error: 0.8973, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.236, root_relative_squared_error: 0.9629, scimark_benchmark: 1892.0925, usercpu_time_millis: 781.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 765.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.913, kappa: 0.1228, kb_relative_information_score: -3046.3541, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9093, predictive_accuracy: 0.9348, prior_entropy: 0.3444, recall: 0.9348, relative_absolute_error: 0.8284, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9397, scimark_benchmark: 1892.0925, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.9102, kappa: 0.0697, kb_relative_information_score: -3568.4703, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9213, predictive_accuracy: 0.9371, prior_entropy: 0.3444, recall: 0.9371, relative_absolute_error: 0.8249, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.9155, scimark_benchmark: 1892.0925, usercpu_time_millis: 2375, usercpu_time_millis_testing: 390.625, usercpu_time_millis_training: 1984.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, f_measure: 0.9047, kb_relative_information_score: 888.2013, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8757, predictive_accuracy: 0.9358, prior_entropy: 0.3444, recall: 0.9358, relative_absolute_error: 0.8082, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.992, scimark_benchmark: 1892.0925, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.9128, kappa: 0.1246, kb_relative_information_score: -3386.1886, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9075, predictive_accuracy: 0.9339, prior_entropy: 0.3444, recall: 0.9339, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.236, root_relative_squared_error: 0.9626, scimark_benchmark: 1892.0925, usercpu_time_millis: 234.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.9212, kappa: 0.2344, kb_relative_information_score: -2726.4719, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9176, predictive_accuracy: 0.9361, prior_entropy: 0.3444, recall: 0.9361, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.9243, scimark_benchmark: 1370.9452, usercpu_time_millis: 13375, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 13343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5749, f_measure: 0.9191, kappa: 0.2179, kb_relative_information_score: 260.0388, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9139, predictive_accuracy: 0.9337, prior_entropy: 0.3444, recall: 0.9337, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.9739, scimark_benchmark: 1834.908, usercpu_time_millis: 1640.625, usercpu_time_millis_training: 1640.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.9099, kappa: 0.098, kb_relative_information_score: -1312.043, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9006, predictive_accuracy: 0.9311, prior_entropy: 0.3444, recall: 0.9311, relative_absolute_error: 0.8268, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.9555, scimark_benchmark: 1834.908, usercpu_time_millis: 29546.875, usercpu_time_millis_testing: 1281.25, usercpu_time_millis_training: 28265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.9089, kappa: 0.065, kb_relative_information_score: -3230.9729, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9035, predictive_accuracy: 0.9344, prior_entropy: 0.3444, recall: 0.9344, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.8994, scimark_benchmark: 1834.908, usercpu_time_millis: 3640.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 3625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.9089, kappa: 0.065, kb_relative_information_score: -3230.9729, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9035, predictive_accuracy: 0.9344, prior_entropy: 0.3444, recall: 0.9344, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.8994, scimark_benchmark: 1788.6668, usercpu_time_millis: 5500, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 5484.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.9047, kb_relative_information_score: -5487.3349, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8757, predictive_accuracy: 0.9358, prior_entropy: 0.3444, recall: 0.9358, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.9415, scimark_benchmark: 1788.6668, usercpu_time_millis: 906.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 890.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5215, f_measure: 0.9095, kappa: 0.0714, kb_relative_information_score: 59.9942, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9059, predictive_accuracy: 0.9349, prior_entropy: 0.3444, recall: 0.9349, relative_absolute_error: 0.9757, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.9944, scimark_benchmark: 1788.6668, usercpu_time_millis: 328.125, usercpu_time_millis_training: 328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, f_measure: 0.9047, kb_relative_information_score: -2714.981, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8757, predictive_accuracy: 0.9358, prior_entropy: 0.3444, recall: 0.9358, relative_absolute_error: 0.8828, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.9511, scimark_benchmark: 1788.6668, usercpu_time_millis: 4156.25, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 4125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.9097, kappa: 0.0654, kb_relative_information_score: -5639.5347, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9159, predictive_accuracy: 0.9366, prior_entropy: 0.3444, recall: 0.9366, relative_absolute_error: 0.8701, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.23, root_relative_squared_error: 0.9381, scimark_benchmark: 1788.6668, usercpu_time_millis: 625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 609.375,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.9124, kappa: 0.1058, kb_relative_information_score: 2193.9934, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9131, predictive_accuracy: 0.9362, prior_entropy: 0.3444, recall: 0.9362, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2525, root_relative_squared_error: 1.0301, scimark_benchmark: 1386.2961, usercpu_time_millis: 344560, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 344510,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.8728, kappa: 0.2469, kb_relative_information_score: -11684.3628, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9188, predictive_accuracy: 0.8424, prior_entropy: 0.3444, recall: 0.8424, relative_absolute_error: 1.4096, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3525, root_relative_squared_error: 1.4378, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.9136, kappa: 0.1211, kb_relative_information_score: -3481.4127, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9143, predictive_accuracy: 0.9365, prior_entropy: 0.3444, recall: 0.9365, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.928, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.9099, kappa: 0.0967, kb_relative_information_score: -786.467, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9009, predictive_accuracy: 0.9315, prior_entropy: 0.3444, recall: 0.9315, relative_absolute_error: 0.7141, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.9924, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.8728, kappa: 0.2469, kb_relative_information_score: -11684.3628, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9188, predictive_accuracy: 0.8424, prior_entropy: 0.3444, recall: 0.8424, relative_absolute_error: 1.4096, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3525, root_relative_squared_error: 1.4378, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9047, kb_relative_information_score: 2146.8995, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8757, predictive_accuracy: 0.9358, prior_entropy: 0.3444, recall: 0.9358, relative_absolute_error: 0.5339, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2534, root_relative_squared_error: 1.0337, scimark_benchmark: 932.438, usercpu_time_millis: 286410, usercpu_time_millis_testing: 62730, usercpu_time_millis_training: 223680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.8033, kappa: 0.1971, kb_relative_information_score: -21486.6762, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9299, predictive_accuracy: 0.7371, prior_entropy: 0.3444, recall: 0.7371, relative_absolute_error: 2.1853, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.4742, root_relative_squared_error: 1.9343, scimark_benchmark: 941.3847, usercpu_time_millis: 180, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.8728, kappa: 0.2469, kb_relative_information_score: -11684.3628, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9188, predictive_accuracy: 0.8424, prior_entropy: 0.3444, recall: 0.8424, relative_absolute_error: 1.4096, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3525, root_relative_squared_error: 1.4378, scimark_benchmark: 974.2014, usercpu_time_millis: 590, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.8728, kappa: 0.2469, kb_relative_information_score: -11684.3628, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9188, predictive_accuracy: 0.8424, prior_entropy: 0.3444, recall: 0.8424, relative_absolute_error: 1.4096, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3525, root_relative_squared_error: 1.4378, scimark_benchmark: 974.2014, usercpu_time_millis: 700, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.915, kappa: 0.1679, kb_relative_information_score: 1169.1788, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9083, predictive_accuracy: 0.932, prior_entropy: 0.3444, recall: 0.932, relative_absolute_error: 0.5943, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2523, root_relative_squared_error: 1.0292, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.9097, kappa: 0.0636, kb_relative_information_score: -3682.5367, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9198, predictive_accuracy: 0.9369, prior_entropy: 0.3444, recall: 0.9369, relative_absolute_error: 0.8301, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.9183, scimark_benchmark: 943.1009, usercpu_time_millis: 3030, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 2500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7246, f_measure: 0.9081, kappa: 0.0487, kb_relative_information_score: -2852.9125, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9067, predictive_accuracy: 0.9354, prior_entropy: 0.3444, recall: 0.9354, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.9771, scimark_benchmark: 819.5729, usercpu_time_millis: 180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.912, kappa: 0.1096, kb_relative_information_score: -13463.6339, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9073, predictive_accuracy: 0.9343, prior_entropy: 0.3444, recall: 0.9343, relative_absolute_error: 1.1828, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.9745, scimark_benchmark: 901.6243, usercpu_time_millis: 1220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.9095, kappa: 0.068, kb_relative_information_score: -3586.7355, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9087, predictive_accuracy: 0.9356, prior_entropy: 0.3444, recall: 0.9356, relative_absolute_error: 0.8432, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.908, scimark_benchmark: 819.5729, usercpu_time_millis: 26000, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 25990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.9099, kappa: 0.0967, kb_relative_information_score: -786.467, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9009, predictive_accuracy: 0.9315, prior_entropy: 0.3444, recall: 0.9315, relative_absolute_error: 0.7141, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.9924, scimark_benchmark: 941.7976, usercpu_time_millis: 20907470, usercpu_time_millis_testing: 154930, usercpu_time_millis_training: 20752540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9047, kb_relative_information_score: 2146.8995, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.8757, predictive_accuracy: 0.9358, prior_entropy: 0.3444, recall: 0.9358, relative_absolute_error: 0.5339, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2534, root_relative_squared_error: 1.0337, scimark_benchmark: 926.5462, usercpu_time_millis: 275190, usercpu_time_millis_testing: 58750, usercpu_time_millis_training: 216440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.8728, kappa: 0.2469, kb_relative_information_score: -11684.3628, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9188, predictive_accuracy: 0.8424, prior_entropy: 0.3444, recall: 0.8424, relative_absolute_error: 1.4096, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3525, root_relative_squared_error: 1.4378, scimark_benchmark: 938.1282, usercpu_time_millis: 560, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.8728, kappa: 0.2469, kb_relative_information_score: -11684.3628, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9188, predictive_accuracy: 0.8424, prior_entropy: 0.3444, recall: 0.8424, relative_absolute_error: 1.4096, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3525, root_relative_squared_error: 1.4378, scimark_benchmark: 930.404, usercpu_time_millis: 580, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.9136, kappa: 0.1211, kb_relative_information_score: -3481.4127, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9143, predictive_accuracy: 0.9365, prior_entropy: 0.3444, recall: 0.9365, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.928, scimark_benchmark: 930.404, usercpu_time_millis: 1960, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.8728, kappa: 0.2469, kb_relative_information_score: -11684.3628, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9188, predictive_accuracy: 0.8424, prior_entropy: 0.3444, recall: 0.8424, relative_absolute_error: 1.4096, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3525, root_relative_squared_error: 1.4378, scimark_benchmark: 936.9595, usercpu_time_millis: 540, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.915, kappa: 0.1679, kb_relative_information_score: 1169.1788, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9083, predictive_accuracy: 0.932, prior_entropy: 0.3444, recall: 0.932, relative_absolute_error: 0.5943, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2523, root_relative_squared_error: 1.0292, scimark_benchmark: 730.6551, usercpu_time_millis: 70190, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 69630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.9097, kappa: 0.0636, kb_relative_information_score: -3682.5367, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9198, predictive_accuracy: 0.9369, prior_entropy: 0.3444, recall: 0.9369, relative_absolute_error: 0.8301, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.9183, scimark_benchmark: 936.9595, usercpu_time_millis: 3910, usercpu_time_millis_testing: 770, usercpu_time_millis_training: 3140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.9173, kappa: 0.163, kb_relative_information_score: -3250.8501, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9217, predictive_accuracy: 0.9385, prior_entropy: 0.3444, recall: 0.9385, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.8982, scimark_benchmark: 608.4057, usercpu_time_millis: 1539080, usercpu_time_millis_testing: 384040, usercpu_time_millis_training: 1155040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.9166, kappa: 0.1564, kb_relative_information_score: -3317.2904, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9197, predictive_accuracy: 0.9379, prior_entropy: 0.3444, recall: 0.9379, relative_absolute_error: 0.819, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.9019, scimark_benchmark: 941.4991, usercpu_time_millis: 695510, usercpu_time_millis_testing: 152670, usercpu_time_millis_training: 542840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.9183, kappa: 0.1767, kb_relative_information_score: -3165.5235, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9217, predictive_accuracy: 0.9386, prior_entropy: 0.3444, recall: 0.9386, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.9009, scimark_benchmark: 938.8535, usercpu_time_millis: 310420, usercpu_time_millis_testing: 68000, usercpu_time_millis_training: 242420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.917, kappa: 0.1691, kb_relative_information_score: -3221.4211, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9157, predictive_accuracy: 0.9366, prior_entropy: 0.3444, recall: 0.9366, relative_absolute_error: 0.816, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.9159, scimark_benchmark: 908.4147, usercpu_time_millis: 147870, usercpu_time_millis_testing: 30400, usercpu_time_millis_training: 117470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.9183, kappa: 0.1996, kb_relative_information_score: -3449.8993, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9141, predictive_accuracy: 0.9349, prior_entropy: 0.3444, recall: 0.9349, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.9263, scimark_benchmark: 936.1714, usercpu_time_millis: 74760, usercpu_time_millis_testing: 13550, usercpu_time_millis_training: 61210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.909, kappa: 0.0547, kb_relative_information_score: -3999.2506, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9187, predictive_accuracy: 0.9367, prior_entropy: 0.3444, recall: 0.9367, relative_absolute_error: 0.8276, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.224, root_relative_squared_error: 0.9137, scimark_benchmark: 941.9549, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.909, kappa: 0.0547, kb_relative_information_score: -3999.2506, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9187, predictive_accuracy: 0.9367, prior_entropy: 0.3444, recall: 0.9367, relative_absolute_error: 0.8276, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.224, root_relative_squared_error: 0.9137, scimark_benchmark: 929.0296, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.909, kappa: 0.0547, kb_relative_information_score: -3999.2506, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9187, predictive_accuracy: 0.9367, prior_entropy: 0.3444, recall: 0.9367, relative_absolute_error: 0.8276, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.224, root_relative_squared_error: 0.9137, scimark_benchmark: 936.7184, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.909, kappa: 0.0547, kb_relative_information_score: -3999.2506, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1203, number_of_instances: 8844, precision: 0.9187, predictive_accuracy: 0.9367, prior_entropy: 0.3444, recall: 0.9367, relative_absolute_error: 0.8276, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.224, root_relative_squared_error: 0.9137, scimark_benchmark: 926.5859, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,

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