OpenML
Supervised Classification on mozilla4

Supervised Classification on mozilla4

Task 3899 Supervised Classification mozilla4 107074 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9406, kappa: 0.8629, kb_relative_information_score: 12200.3459, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9458, predictive_accuracy: 0.942, prior_entropy: 0.9135, recall: 0.942, relative_absolute_error: 0.2341, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4571, scimark_benchmark: 1728.9116, usercpu_time_millis: 8.885, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 8.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9502, kappa: 0.8857, kb_relative_information_score: 12863.5755, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.953, predictive_accuracy: 0.9511, prior_entropy: 0.9135, recall: 0.9511, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.4128, scimark_benchmark: 1846.8866, usercpu_time_millis: 126.863, usercpu_time_millis_testing: 6.201, usercpu_time_millis_training: 120.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9456, kappa: 0.8748, kb_relative_information_score: 12666.5834, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.949, predictive_accuracy: 0.9467, prior_entropy: 0.9135, recall: 0.9467, relative_absolute_error: 0.1985, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.432, scimark_benchmark: 1846.3057, usercpu_time_millis: 120.421, usercpu_time_millis_testing: 3.817, usercpu_time_millis_training: 116.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9397, kappa: 0.8608, kb_relative_information_score: 12191.1726, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9452, predictive_accuracy: 0.9412, prior_entropy: 0.9135, recall: 0.9412, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4574, scimark_benchmark: 1826.744, usercpu_time_millis: 27.068, usercpu_time_millis_testing: 1.442, usercpu_time_millis_training: 25.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.9326, kappa: 0.8442, kb_relative_information_score: 12103.0877, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9404, predictive_accuracy: 0.9347, prior_entropy: 0.9135, recall: 0.9347, relative_absolute_error: 0.2384, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.4779, scimark_benchmark: 1855.4813, usercpu_time_millis: 93.095, usercpu_time_millis_testing: 4.43, usercpu_time_millis_training: 88.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9325, kappa: 0.8439, kb_relative_information_score: 12023.2586, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9403, predictive_accuracy: 0.9346, prior_entropy: 0.9135, recall: 0.9346, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.484, scimark_benchmark: 1851.8567, usercpu_time_millis: 92.461, usercpu_time_millis_testing: 4.257, usercpu_time_millis_training: 88.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9421, kappa: 0.8666, kb_relative_information_score: 12296.2038, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.947, predictive_accuracy: 0.9435, prior_entropy: 0.9135, recall: 0.9435, relative_absolute_error: 0.2269, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.4509, scimark_benchmark: 1853.454, usercpu_time_millis: 85.575, usercpu_time_millis_testing: 4.355, usercpu_time_millis_training: 81.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9326, kappa: 0.8442, kb_relative_information_score: 12143.5726, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9404, predictive_accuracy: 0.9347, prior_entropy: 0.9135, recall: 0.9347, relative_absolute_error: 0.2355, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.4739, scimark_benchmark: 1848.7762, usercpu_time_millis: 74.961, usercpu_time_millis_testing: 4.122, usercpu_time_millis_training: 70.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9424, kappa: 0.8673, kb_relative_information_score: 12341.1536, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9468, predictive_accuracy: 0.9437, prior_entropy: 0.9135, recall: 0.9437, relative_absolute_error: 0.222, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4556, scimark_benchmark: 1853.9121, usercpu_time_millis: 69.2, usercpu_time_millis_testing: 5.037, usercpu_time_millis_training: 64.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9449, kappa: 0.8733, kb_relative_information_score: 12602.2026, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9487, predictive_accuracy: 0.9461, prior_entropy: 0.9135, recall: 0.9461, relative_absolute_error: 0.2043, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4306, scimark_benchmark: 1853.454, usercpu_time_millis: 54.984, usercpu_time_millis_testing: 2.204, usercpu_time_millis_training: 52.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.9326, kappa: 0.844, kb_relative_information_score: 11752.7109, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9403, predictive_accuracy: 0.9346, prior_entropy: 0.9135, recall: 0.9346, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.4907, scimark_benchmark: 1853.3841, usercpu_time_millis: 49.567, usercpu_time_millis_testing: 2.96, usercpu_time_millis_training: 46.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9348, kappa: 0.8492, kb_relative_information_score: 10169.0794, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9416, predictive_accuracy: 0.9366, prior_entropy: 0.9135, recall: 0.9366, relative_absolute_error: 0.4016, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.514, scimark_benchmark: 1847.421, usercpu_time_millis: 47.093, usercpu_time_millis_testing: 4.247, usercpu_time_millis_training: 42.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.9321, kappa: 0.8429, kb_relative_information_score: 10804.0439, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9399, predictive_accuracy: 0.9342, prior_entropy: 0.9135, recall: 0.9342, relative_absolute_error: 0.3459, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.24, root_relative_squared_error: 0.5109, scimark_benchmark: 1849.8294, usercpu_time_millis: 40.037, usercpu_time_millis_testing: 3.891, usercpu_time_millis_training: 36.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9323, kappa: 0.8434, kb_relative_information_score: 9334.397, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9401, predictive_accuracy: 0.9344, prior_entropy: 0.9135, recall: 0.9344, relative_absolute_error: 0.462, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.557, scimark_benchmark: 1845.779, usercpu_time_millis: 29.476, usercpu_time_millis_testing: 2.659, usercpu_time_millis_training: 26.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9333, kappa: 0.8457, kb_relative_information_score: 11965.4073, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9407, predictive_accuracy: 0.9353, prior_entropy: 0.9135, recall: 0.9353, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.4707, scimark_benchmark: 1895.9061, usercpu_time_millis: 30.024, usercpu_time_millis_testing: 2.021, usercpu_time_millis_training: 28.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9347, kappa: 0.849, kb_relative_information_score: 11977.3363, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9417, predictive_accuracy: 0.9366, prior_entropy: 0.9135, recall: 0.9366, relative_absolute_error: 0.2515, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4685, scimark_benchmark: 1847.7335, usercpu_time_millis: 31.536, usercpu_time_millis_testing: 1.659, usercpu_time_millis_training: 29.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.9322, kappa: 0.843, kb_relative_information_score: 6013.2493, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.7205, scimark_benchmark: 1851.8567, usercpu_time_millis: 28.89, usercpu_time_millis_testing: 3.404, usercpu_time_millis_training: 25.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9395, kappa: 0.8604, kb_relative_information_score: 12127.9671, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9452, predictive_accuracy: 0.9411, prior_entropy: 0.9135, recall: 0.9411, relative_absolute_error: 0.2396, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.4616, scimark_benchmark: 1855.5541, usercpu_time_millis: 24.507, usercpu_time_millis_testing: 1.352, usercpu_time_millis_training: 23.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.9322, kappa: 0.843, kb_relative_information_score: 5999.1145, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.7211, scimark_benchmark: 1857.5664, usercpu_time_millis: 25.345, usercpu_time_millis_testing: 3.143, usercpu_time_millis_training: 22.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5394, kb_relative_information_score: -1.8725, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1, scimark_benchmark: 1850.2875, usercpu_time_millis: 16.152, usercpu_time_millis_testing: 2.645, usercpu_time_millis_training: 13.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5394, kb_relative_information_score: 0.346, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1, scimark_benchmark: 1895.426, usercpu_time_millis: 16.978, usercpu_time_millis_testing: 2.739, usercpu_time_millis_training: 14.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5394, kb_relative_information_score: -0.0095, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1, scimark_benchmark: 1853.0716, usercpu_time_millis: 19.156, usercpu_time_millis_testing: 3.276, usercpu_time_millis_training: 15.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.9321, kappa: 0.8429, kb_relative_information_score: 10170.7836, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9399, predictive_accuracy: 0.9342, prior_entropy: 0.9135, recall: 0.9342, relative_absolute_error: 0.3969, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.5331, scimark_benchmark: 1850.8706, usercpu_time_millis: 16.622, usercpu_time_millis_testing: 1.626, usercpu_time_millis_training: 14.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.9322, kappa: 0.843, kb_relative_information_score: 7202.8736, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.6612, scimark_benchmark: 1848.8462, usercpu_time_millis: 17.279, usercpu_time_millis_testing: 2.05, usercpu_time_millis_training: 15.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.932, kappa: 0.8427, kb_relative_information_score: 8427.3569, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9399, predictive_accuracy: 0.9341, prior_entropy: 0.9135, recall: 0.9341, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.6007, scimark_benchmark: 1852.3877, usercpu_time_millis: 12.53, usercpu_time_millis_testing: 1.19, usercpu_time_millis_training: 11.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5394, kb_relative_information_score: -0.2873, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1, scimark_benchmark: 1841.6688, usercpu_time_millis: 8.546, usercpu_time_millis_testing: 1.394, usercpu_time_millis_training: 7.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.932, kappa: 0.8427, kb_relative_information_score: 7002.9633, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9399, predictive_accuracy: 0.9341, prior_entropy: 0.9135, recall: 0.9341, relative_absolute_error: 0.6236, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6722, scimark_benchmark: 1845.6661, usercpu_time_millis: 1.263, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 1.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5394, kb_relative_information_score: -24.414, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1, scimark_benchmark: 1849.8294, usercpu_time_millis: 0.82, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9325, kappa: 0.8438, kb_relative_information_score: 11342.3531, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9403, predictive_accuracy: 0.9346, prior_entropy: 0.9135, recall: 0.9346, relative_absolute_error: 0.3021, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.4914, scimark_benchmark: 1846.9558, usercpu_time_millis: 59.58, usercpu_time_millis_testing: 3.98, usercpu_time_millis_training: 55.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.9322, kappa: 0.843, kb_relative_information_score: 9364.2777, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.4589, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.5641, scimark_benchmark: 1849.3014, usercpu_time_millis: 27.118, usercpu_time_millis_testing: 2.508, usercpu_time_millis_training: 24.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9457, kappa: 0.8749, kb_relative_information_score: 12660.5973, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9491, predictive_accuracy: 0.9467, prior_entropy: 0.9135, recall: 0.9467, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.4317, scimark_benchmark: 1853.454, usercpu_time_millis: 25.458, usercpu_time_millis_testing: 0.74, usercpu_time_millis_training: 24.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.9322, kappa: 0.843, kb_relative_information_score: 10226.907, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.3967, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.5377, scimark_benchmark: 1833.6579, usercpu_time_millis: 6.662, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 6.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5394, kb_relative_information_score: -0.1167, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1, scimark_benchmark: 1841.8022, usercpu_time_millis: 6.501, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 5.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9418, kappa: 0.8658, kb_relative_information_score: 12361.9719, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9464, predictive_accuracy: 0.9431, prior_entropy: 0.9135, recall: 0.9431, relative_absolute_error: 0.2206, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4541, scimark_benchmark: 2127.131, usercpu_time_millis: 4.288, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 4.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.9322, kappa: 0.843, kb_relative_information_score: 9630.2443, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.5543, scimark_benchmark: 1831.1542, usercpu_time_millis: 41.212, usercpu_time_millis_testing: 3.81, usercpu_time_millis_training: 37.402,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9405, kappa: 0.8626, kb_relative_information_score: 12319.5664, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9459, predictive_accuracy: 0.942, prior_entropy: 0.9135, recall: 0.942, relative_absolute_error: 0.2231, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.4601, scimark_benchmark: 1853.9121, usercpu_time_millis: 36.429, usercpu_time_millis_testing: 1.295, usercpu_time_millis_training: 35.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9322, kappa: 0.843, kb_relative_information_score: 10258.0445, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.3898, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.5342, scimark_benchmark: 1848.321, usercpu_time_millis: 39.609, usercpu_time_millis_testing: 3.604, usercpu_time_millis_training: 36.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9398, kappa: 0.861, kb_relative_information_score: 12275.5323, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9455, predictive_accuracy: 0.9413, prior_entropy: 0.9135, recall: 0.9413, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4639, scimark_benchmark: 1848.7304, usercpu_time_millis: 80.851, usercpu_time_millis_testing: 3.24, usercpu_time_millis_training: 77.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9446, kappa: 0.8724, kb_relative_information_score: 12551.0047, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9482, predictive_accuracy: 0.9457, prior_entropy: 0.9135, recall: 0.9457, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.4389, scimark_benchmark: 1843.7637, usercpu_time_millis: 74.081, usercpu_time_millis_testing: 3.825, usercpu_time_millis_training: 70.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5394, kb_relative_information_score: 0.0073, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1, scimark_benchmark: 1849.7595, usercpu_time_millis: 19.16, usercpu_time_millis_testing: 3.263, usercpu_time_millis_training: 15.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9325, kappa: 0.8438, kb_relative_information_score: 11602.809, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9403, predictive_accuracy: 0.9346, prior_entropy: 0.9135, recall: 0.9346, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.233, root_relative_squared_error: 0.496, scimark_benchmark: 1848.8462, usercpu_time_millis: 65.169, usercpu_time_millis_testing: 4.068, usercpu_time_millis_training: 61.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5394, kb_relative_information_score: 0.3153, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1, scimark_benchmark: 1810.9528, usercpu_time_millis: 7.31, usercpu_time_millis_testing: 1.127, usercpu_time_millis_training: 6.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.954, kappa: 0.8945, kb_relative_information_score: 13041.3902, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9559, predictive_accuracy: 0.9546, prior_entropy: 0.9135, recall: 0.9546, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4015, scimark_benchmark: 1848.7762, usercpu_time_millis: 58.457, usercpu_time_millis_testing: 2.98, usercpu_time_millis_training: 55.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.9322, kappa: 0.843, kb_relative_information_score: 10274.6559, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.3889, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.5326, scimark_benchmark: 1807.3394, usercpu_time_millis: 3.758, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 3.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5394, kb_relative_information_score: 1.1419, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1, scimark_benchmark: 1850.2875, usercpu_time_millis: 6.785, usercpu_time_millis_testing: 1.046, usercpu_time_millis_training: 5.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9336, kappa: 0.8463, kb_relative_information_score: 10137.5225, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9409, predictive_accuracy: 0.9355, prior_entropy: 0.9135, recall: 0.9355, relative_absolute_error: 0.4029, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.5188, scimark_benchmark: 1856.5802, usercpu_time_millis: 6.85, usercpu_time_millis_testing: 0.464, usercpu_time_millis_training: 6.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.9322, kappa: 0.843, kb_relative_information_score: 8608.0973, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.5951, scimark_benchmark: 1853.9121, usercpu_time_millis: 4.223, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 3.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.9321, kappa: 0.8429, kb_relative_information_score: 7815.83, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9399, predictive_accuracy: 0.9342, prior_entropy: 0.9135, recall: 0.9342, relative_absolute_error: 0.5698, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.6311, scimark_benchmark: 1953.6156, usercpu_time_millis: 2.732, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 2.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9333, kappa: 0.8458, kb_relative_information_score: 10051.9416, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9406, predictive_accuracy: 0.9353, prior_entropy: 0.9135, recall: 0.9353, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.245, root_relative_squared_error: 0.5215, scimark_benchmark: 1834.6199, usercpu_time_millis: 51.718, usercpu_time_millis_testing: 6.575, usercpu_time_millis_training: 45.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9445, kappa: 0.8722, kb_relative_information_score: 12521.2107, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9483, predictive_accuracy: 0.9456, prior_entropy: 0.9135, recall: 0.9456, relative_absolute_error: 0.2103, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.4362, scimark_benchmark: 1853.9121, usercpu_time_millis: 39.404, usercpu_time_millis_testing: 2.493, usercpu_time_millis_training: 36.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9466, kappa: 0.8771, kb_relative_information_score: 12670.8436, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.95, predictive_accuracy: 0.9476, prior_entropy: 0.9135, recall: 0.9476, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.427, scimark_benchmark: 1849.3014, usercpu_time_millis: 38.441, usercpu_time_millis_testing: 2.358, usercpu_time_millis_training: 36.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9328, kappa: 0.8446, kb_relative_information_score: 11673.5978, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9404, predictive_accuracy: 0.9348, prior_entropy: 0.9135, recall: 0.9348, relative_absolute_error: 0.2725, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.5021, scimark_benchmark: 1845.4601, usercpu_time_millis: 0.427, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9442, kappa: 0.8715, kb_relative_information_score: 12507.1866, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9481, predictive_accuracy: 0.9454, prior_entropy: 0.9135, recall: 0.9454, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.437, scimark_benchmark: 1847.8629, usercpu_time_millis: 36.182, usercpu_time_millis_testing: 2.639, usercpu_time_millis_training: 33.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9423, kappa: 0.867, kb_relative_information_score: 12398.0436, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.947, predictive_accuracy: 0.9436, prior_entropy: 0.9135, recall: 0.9436, relative_absolute_error: 0.2182, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4514, scimark_benchmark: 1858.1494, usercpu_time_millis: 22.088, usercpu_time_millis_testing: 0.823, usercpu_time_millis_training: 21.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9323, kappa: 0.8434, kb_relative_information_score: 12040.2641, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9344, prior_entropy: 0.9135, recall: 0.9344, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.227, root_relative_squared_error: 0.4834, scimark_benchmark: 1832.1165, usercpu_time_millis: 29.153, usercpu_time_millis_testing: 2.159, usercpu_time_millis_training: 26.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9477, kappa: 0.8796, kb_relative_information_score: 12707.282, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9509, predictive_accuracy: 0.9487, prior_entropy: 0.9135, recall: 0.9487, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.4231, scimark_benchmark: 1827.2523, usercpu_time_millis: 27.365, usercpu_time_millis_testing: 1.09, usercpu_time_millis_training: 26.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.9322, kappa: 0.843, kb_relative_information_score: 8297.0854, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.5369, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.61, scimark_benchmark: 1844.3569, usercpu_time_millis: 29.396, usercpu_time_millis_testing: 2.842, usercpu_time_millis_training: 26.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.9322, kappa: 0.843, kb_relative_information_score: 7215.6996, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.6136, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6606, scimark_benchmark: 1840.2451, usercpu_time_millis: 27.293, usercpu_time_millis_testing: 3.271, usercpu_time_millis_training: 24.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9405, kappa: 0.8627, kb_relative_information_score: 12277.9891, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9454, predictive_accuracy: 0.9419, prior_entropy: 0.9135, recall: 0.9419, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.4612, scimark_benchmark: 2117.5644, usercpu_time_millis: 22.902, usercpu_time_millis_testing: 1.477, usercpu_time_millis_training: 21.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9523, kappa: 0.8909, kb_relative_information_score: 13186.308, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9531, predictive_accuracy: 0.9528, prior_entropy: 0.9135, recall: 0.9528, relative_absolute_error: 0.1573, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.4086, scimark_benchmark: 2118.1842, usercpu_time_millis: 20.472, usercpu_time_millis_testing: 0.578, usercpu_time_millis_training: 19.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9379, kappa: 0.8566, kb_relative_information_score: 10362.4315, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9438, predictive_accuracy: 0.9395, prior_entropy: 0.9135, recall: 0.9395, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.5043, scimark_benchmark: 1846.7639, usercpu_time_millis: 7.741, usercpu_time_millis_testing: 0.598, usercpu_time_millis_training: 7.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.9322, kappa: 0.843, kb_relative_information_score: 10357.5339, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.3846, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.5309, scimark_benchmark: 1958.4807, usercpu_time_millis: 11.92, usercpu_time_millis_testing: 1.082, usercpu_time_millis_training: 10.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9399, kappa: 0.8614, kb_relative_information_score: 10457.0284, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9455, predictive_accuracy: 0.9415, prior_entropy: 0.9135, recall: 0.9415, relative_absolute_error: 0.3815, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.4964, scimark_benchmark: 1840.7617, usercpu_time_millis: 7.948, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 7.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5394, kb_relative_information_score: -1.0099, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1, scimark_benchmark: 1844.7928, usercpu_time_millis: 3.778, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 3.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.9322, kappa: 0.843, kb_relative_information_score: 8521.3946, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.5265, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.281, root_relative_squared_error: 0.5982, scimark_benchmark: 1836.6789, usercpu_time_millis: 7.013, usercpu_time_millis_testing: 0.756, usercpu_time_millis_training: 6.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.5394, kb_relative_information_score: -15.2845, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1, scimark_benchmark: 1850.8437, usercpu_time_millis: 0.733, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9325, kappa: 0.8439, kb_relative_information_score: 11959.4416, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9402, predictive_accuracy: 0.9346, prior_entropy: 0.9135, recall: 0.9346, relative_absolute_error: 0.2487, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.4924, scimark_benchmark: 1841.2811, usercpu_time_millis: 3.972, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 3.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9418, kappa: 0.866, kb_relative_information_score: 12455.8405, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9458, predictive_accuracy: 0.9431, prior_entropy: 0.9135, recall: 0.9431, relative_absolute_error: 0.2127, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4527, scimark_benchmark: 1848.7762, usercpu_time_millis: 193.199, usercpu_time_millis_testing: 5.935, usercpu_time_millis_training: 187.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9442, kappa: 0.8715, kb_relative_information_score: 12497.262, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9481, predictive_accuracy: 0.9454, prior_entropy: 0.9135, recall: 0.9454, relative_absolute_error: 0.212, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4376, scimark_benchmark: 1842.7105, usercpu_time_millis: 101.648, usercpu_time_millis_testing: 7.711, usercpu_time_millis_training: 93.937,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs