Task
Supervised Classification on Australian

Supervised Classification on Australian

Task 125923 Supervised Classification Australian 208614 runs submitted
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  • OpenML100 study_107 study_123 study_14
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208614 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0152, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1870.4728, usercpu_time_millis: 0.709, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 0.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0684, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1748.9636, usercpu_time_millis: 0.463, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 376.907, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.6891, scimark_benchmark: 1752.043, usercpu_time_millis: 1.622, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 1.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 370.4543, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.5028, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6541, scimark_benchmark: 2134.8479, usercpu_time_millis: 1.416, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 1.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.858, kappa: 0.7125, kb_relative_information_score: 437.0788, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.858, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6385, scimark_benchmark: 1731.5366, usercpu_time_millis: 0.076, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8698, kappa: 0.7373, kb_relative_information_score: 385.4831, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.871, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.6347, scimark_benchmark: 1748.9356, usercpu_time_millis: 1.867, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 1.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, f_measure: 0.3963, kb_relative_information_score: -0.0056, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1871.5019, usercpu_time_millis: 0.094, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8641, kappa: 0.726, kb_relative_information_score: 418.0574, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8659, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4237, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.621, scimark_benchmark: 1833.5944, usercpu_time_millis: 1.81, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 1.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.868, kappa: 0.7327, kb_relative_information_score: 393.7796, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.626, scimark_benchmark: 1866.8213, usercpu_time_millis: 2.025, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 1.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.8698, kappa: 0.7371, kb_relative_information_score: 441.2696, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8708, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.615, scimark_benchmark: 1871.5019, usercpu_time_millis: 0.568, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.867, kappa: 0.7316, kb_relative_information_score: 435.492, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8684, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3951, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.6108, scimark_benchmark: 1841.2703, usercpu_time_millis: 5.688, usercpu_time_millis_testing: 0.776, usercpu_time_millis_training: 4.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8695, kappa: 0.7356, kb_relative_information_score: 352.0198, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8694, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.5354, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.326, root_relative_squared_error: 0.656, scimark_benchmark: 1748.2628, usercpu_time_millis: 1.452, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 1.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.8655, kappa: 0.7286, kb_relative_information_score: 439.6817, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8668, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6112, scimark_benchmark: 1746.2876, usercpu_time_millis: 4.147, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 3.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 404.8009, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4434, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.6406, scimark_benchmark: 1869.9448, usercpu_time_millis: 1.43, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 1.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 360.1469, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6853, scimark_benchmark: 1749.1199, usercpu_time_millis: 2.048, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 1.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.3963, kb_relative_information_score: -0.1301, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1865.7643, usercpu_time_millis: 1.087, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 0.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0355, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1750.6187, usercpu_time_millis: 1.165, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8641, kappa: 0.7258, kb_relative_information_score: 430.4826, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8655, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4039, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6119, scimark_benchmark: 1723.7901, usercpu_time_millis: 4.225, usercpu_time_millis_testing: 0.568, usercpu_time_millis_training: 3.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8583, kappa: 0.7179, kb_relative_information_score: 422.8528, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8716, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.6348, scimark_benchmark: 1871.9601, usercpu_time_millis: 3.624, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 3.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8582, kappa: 0.7137, kb_relative_information_score: 442.8094, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8592, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.308, root_relative_squared_error: 0.6197, scimark_benchmark: 1750.6187, usercpu_time_millis: 3.834, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 3.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8612, kappa: 0.7198, kb_relative_information_score: 440.3059, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8624, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.3843, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6151, scimark_benchmark: 1871.5019, usercpu_time_millis: 5.572, usercpu_time_millis_testing: 0.584, usercpu_time_millis_training: 4.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8353, kappa: 0.6664, kb_relative_information_score: 141.5322, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8519, predictive_accuracy: 0.8391, prior_entropy: 0.9913, recall: 0.8391, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.8542, scimark_benchmark: 1763.9041, usercpu_time_millis: 1.022, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 0.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8569, kappa: 0.7146, kb_relative_information_score: 408.8762, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.6448, scimark_benchmark: 2159.5641, usercpu_time_millis: 0.888, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, f_measure: 0.3963, kb_relative_information_score: -0.0727, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1869.2942, usercpu_time_millis: 0.422, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 317.8835, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.591, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.6973, scimark_benchmark: 1863.4543, usercpu_time_millis: 0.128, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.3963, kb_relative_information_score: -0.0313, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.922, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 0.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 392.1702, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4662, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.6464, scimark_benchmark: 1861.1843, usercpu_time_millis: 0.982, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8742, kappa: 0.746, kb_relative_information_score: 438.1016, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8752, predictive_accuracy: 0.8739, prior_entropy: 0.9913, recall: 0.8739, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.6113, scimark_benchmark: 1750.7794, usercpu_time_millis: 2.579, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 2.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.3963, kb_relative_information_score: -0.4871, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0002, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.072, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8655, kappa: 0.7286, kb_relative_information_score: 414.9474, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8668, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4282, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6235, scimark_benchmark: 1859.9421, usercpu_time_millis: 4.875, usercpu_time_millis_testing: 0.544, usercpu_time_millis_training: 4.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8569, kappa: 0.7144, kb_relative_information_score: 356.9151, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8674, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.6582, scimark_benchmark: 1873.5991, usercpu_time_millis: 2.116, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 1.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.867, kappa: 0.7318, kb_relative_information_score: 430.0625, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8688, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6192, scimark_benchmark: 1869.5411, usercpu_time_millis: 1.681, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 1.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8655, kappa: 0.7283, kb_relative_information_score: 428.5281, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4066, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.616, scimark_benchmark: 1131.84, usercpu_time_millis: 0.938, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 0.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8649, kappa: 0.726, kb_relative_information_score: 367.9593, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8652, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6428, scimark_benchmark: 1855.2567, usercpu_time_millis: 4.508, usercpu_time_millis_testing: 0.665, usercpu_time_millis_training: 3.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8568, kappa: 0.7148, kb_relative_information_score: 413.039, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8689, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6411, scimark_benchmark: 1872.0299, usercpu_time_millis: 2.305, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 2.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8642, kappa: 0.7242, kb_relative_information_score: 283.5599, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8672, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7124, scimark_benchmark: 1860.8554, usercpu_time_millis: 1.328, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 0.938,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8698, kappa: 0.7373, kb_relative_information_score: 438.7287, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.871, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3058, root_relative_squared_error: 0.6154, scimark_benchmark: 1758.1969, usercpu_time_millis: 1.218, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 1.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8606, kappa: 0.7172, kb_relative_information_score: 369.7645, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8608, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.5082, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.6423, scimark_benchmark: 1873.5991, usercpu_time_millis: 0.864, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 0.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8669, kappa: 0.7314, kb_relative_information_score: 444.9188, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3758, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3051, root_relative_squared_error: 0.614, scimark_benchmark: 1872.9496, usercpu_time_millis: 6.005, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 5.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8684, kappa: 0.7348, kb_relative_information_score: 425.5892, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8704, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6191, scimark_benchmark: 1868.1832, usercpu_time_millis: 0.283, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.3963, kb_relative_information_score: -0.0494, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1867.4545, usercpu_time_millis: 1.258, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 1.02,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.8584, kappa: 0.7156, kb_relative_information_score: 374.4933, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.4978, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.6452, scimark_benchmark: 1747.2603, usercpu_time_millis: 1.577, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 1.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8639, kappa: 0.7247, kb_relative_information_score: 417.4514, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8641, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4281, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6136, scimark_benchmark: 1818.7103, usercpu_time_millis: 6.877, usercpu_time_millis_testing: 1.09, usercpu_time_millis_training: 5.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.8569, kappa: 0.714, kb_relative_information_score: 393.6795, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.866, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4629, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6366, scimark_benchmark: 1875.0498, usercpu_time_millis: 3.931, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 3.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.8529, kappa: 0.7014, kb_relative_information_score: 171.3688, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8617, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8231, scimark_benchmark: 1865.4816, usercpu_time_millis: 1.772, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 1.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.864, kappa: 0.7253, kb_relative_information_score: 418.1383, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8647, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6141, scimark_benchmark: 1868.2531, usercpu_time_millis: 7.19, usercpu_time_millis_testing: 0.984, usercpu_time_millis_training: 6.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.868, kappa: 0.7326, kb_relative_information_score: 378.489, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.4936, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6362, scimark_benchmark: 1855.0134, usercpu_time_millis: 1.814, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 1.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8655, kappa: 0.7286, kb_relative_information_score: 437.955, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8668, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.6108, scimark_benchmark: 1861.5647, usercpu_time_millis: 1.883, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 1.689,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1322.8299, usercpu_time_millis: 0.092, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.07,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.7473, kappa: 0.487, kb_relative_information_score: 255.5375, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7521, predictive_accuracy: 0.7507, prior_entropy: 0.9913, recall: 0.7507, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8204, scimark_benchmark: 1342.9105, usercpu_time_millis: 0.103, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0029, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1329.4028, usercpu_time_millis: 0.087, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0029, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1329.8629, usercpu_time_millis: 0.111, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.092,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.0029, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1352.2907, usercpu_time_millis: 0.098, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.081,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1322.6454, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1327.4231, usercpu_time_millis: 0.094, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.072,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.848, kappa: 0.6928, kb_relative_information_score: 401.3974, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8485, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.4484, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6803, scimark_benchmark: 1313.8175, usercpu_time_millis: 0.122, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1334.4839, usercpu_time_millis: 0.118, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1330.7055, usercpu_time_millis: 0.115, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 383.8944, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6951, scimark_benchmark: 1351.6683, usercpu_time_millis: 0.096, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.075,

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