OpenML
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 14971 Supervised Classification Click_prediction_small 21169 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6121, f_measure: 0.7698, kappa: 0.0688, kb_relative_information_score: -4694.0352, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7586, predictive_accuracy: 0.8226, prior_entropy: 0.6541, recall: 0.8226, relative_absolute_error: 0.9225, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3802, root_relative_squared_error: 1.0159, scimark_benchmark: 1751.2869, usercpu_time_millis: 23.983, usercpu_time_millis_testing: 23.808, usercpu_time_millis_training: 0.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.7646, kappa: 0.0412, kb_relative_information_score: -3913.2756, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.763, predictive_accuracy: 0.8287, prior_entropy: 0.6541, recall: 0.8287, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.9978, scimark_benchmark: 789.3389, usercpu_time_millis: 42.961, usercpu_time_millis_testing: 42.601, usercpu_time_millis_training: 0.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.7635, kappa: 0.0359, kb_relative_information_score: -3833.9523, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7626, predictive_accuracy: 0.8291, prior_entropy: 0.6541, recall: 0.8291, relative_absolute_error: 0.9307, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9961, scimark_benchmark: 788.5077, usercpu_time_millis: 42.851, usercpu_time_millis_testing: 42.613, usercpu_time_millis_training: 0.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6144, f_measure: 0.7685, kappa: 0.0612, kb_relative_information_score: -4492.4894, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7585, predictive_accuracy: 0.824, prior_entropy: 0.6541, recall: 0.824, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3783, root_relative_squared_error: 1.0109, scimark_benchmark: 1852.355, usercpu_time_millis: 23.091, usercpu_time_millis_testing: 22.904, usercpu_time_millis_training: 0.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5605, f_measure: 0.746, kappa: 0.0862, kb_relative_information_score: -4115.2802, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7441, predictive_accuracy: 0.7481, prior_entropy: 0.6541, recall: 0.7481, relative_absolute_error: 0.9036, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.2433, scimark_benchmark: 1737.8652, usercpu_time_millis: 21.661, usercpu_time_millis_testing: 21.486, usercpu_time_millis_training: 0.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6144, f_measure: 0.7685, kappa: 0.0612, kb_relative_information_score: -4492.4894, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7585, predictive_accuracy: 0.824, prior_entropy: 0.6541, recall: 0.824, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3783, root_relative_squared_error: 1.0109, scimark_benchmark: 1843.7454, usercpu_time_millis: 23.349, usercpu_time_millis_testing: 23.164, usercpu_time_millis_training: 0.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6179, f_measure: 0.7675, kappa: 0.0554, kb_relative_information_score: -4242.9756, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7611, predictive_accuracy: 0.8263, prior_entropy: 0.6541, recall: 0.8263, relative_absolute_error: 0.9264, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3762, root_relative_squared_error: 1.0052, scimark_benchmark: 1849.7595, usercpu_time_millis: 23.468, usercpu_time_millis_testing: 23.273, usercpu_time_millis_training: 0.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5953, f_measure: 0.7693, kappa: 0.093, kb_relative_information_score: -5986.5547, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7517, predictive_accuracy: 0.8018, prior_entropy: 0.6541, recall: 0.8018, relative_absolute_error: 0.9141, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.399, root_relative_squared_error: 1.0662, scimark_benchmark: 1852.9259, usercpu_time_millis: 21.415, usercpu_time_millis_testing: 21.359, usercpu_time_millis_training: 0.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.7461, kappa: 0.0866, kb_relative_information_score: -6135.5785, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7442, predictive_accuracy: 0.7482, prior_entropy: 0.6541, recall: 0.7482, relative_absolute_error: 0.9069, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1729, scimark_benchmark: 1850.2875, usercpu_time_millis: 20.641, usercpu_time_millis_testing: 20.458, usercpu_time_millis_training: 0.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6179, f_measure: 0.7675, kappa: 0.0554, kb_relative_information_score: -4242.9756, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7611, predictive_accuracy: 0.8263, prior_entropy: 0.6541, recall: 0.8263, relative_absolute_error: 0.9264, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3762, root_relative_squared_error: 1.0052, scimark_benchmark: 1846.8309, usercpu_time_millis: 23.62, usercpu_time_millis_testing: 23.423, usercpu_time_millis_training: 0.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6121, f_measure: 0.7698, kappa: 0.0688, kb_relative_information_score: -4694.0352, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7586, predictive_accuracy: 0.8226, prior_entropy: 0.6541, recall: 0.8226, relative_absolute_error: 0.9225, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3802, root_relative_squared_error: 1.0159, scimark_benchmark: 1848.0065, usercpu_time_millis: 22.931, usercpu_time_millis_testing: 22.754, usercpu_time_millis_training: 0.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, f_measure: 0.7669, kappa: 0.0522, kb_relative_information_score: -4180.6363, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7609, predictive_accuracy: 0.8267, prior_entropy: 0.6541, recall: 0.8267, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3756, root_relative_squared_error: 1.0037, scimark_benchmark: 1851.9456, usercpu_time_millis: 23.885, usercpu_time_millis_testing: 23.69, usercpu_time_millis_training: 0.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.7646, kappa: 0.0412, kb_relative_information_score: -3913.2756, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.763, predictive_accuracy: 0.8287, prior_entropy: 0.6541, recall: 0.8287, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.9978, scimark_benchmark: 1853.454, usercpu_time_millis: 24.228, usercpu_time_millis_testing: 23.914, usercpu_time_millis_training: 0.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.768, kappa: 0.0962, kb_relative_information_score: -6221.199, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7509, predictive_accuracy: 0.7961, prior_entropy: 0.6541, recall: 0.7961, relative_absolute_error: 0.9111, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4121, root_relative_squared_error: 1.1013, scimark_benchmark: 1852.9259, usercpu_time_millis: 21.433, usercpu_time_millis_testing: 21.227, usercpu_time_millis_training: 0.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, f_measure: 0.7702, kappa: 0.0906, kb_relative_information_score: -5805.7797, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7526, predictive_accuracy: 0.806, prior_entropy: 0.6541, recall: 0.806, relative_absolute_error: 0.9153, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3947, root_relative_squared_error: 1.0546, scimark_benchmark: 1851.4874, usercpu_time_millis: 22.043, usercpu_time_millis_testing: 21.705, usercpu_time_millis_training: 0.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.7646, kappa: 0.0412, kb_relative_information_score: -3913.2756, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.763, predictive_accuracy: 0.8287, prior_entropy: 0.6541, recall: 0.8287, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.9978, scimark_benchmark: 1853.3841, usercpu_time_millis: 24.145, usercpu_time_millis_testing: 23.829, usercpu_time_millis_training: 0.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.7461, kappa: 0.0866, kb_relative_information_score: -6135.5785, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7442, predictive_accuracy: 0.7482, prior_entropy: 0.6541, recall: 0.7482, relative_absolute_error: 0.9069, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1729, scimark_benchmark: 1856.5802, usercpu_time_millis: 20.642, usercpu_time_millis_testing: 20.454, usercpu_time_millis_training: 0.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5425, f_measure: 0.746, kappa: 0.0863, kb_relative_information_score: -3698.6247, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7441, predictive_accuracy: 0.748, prior_entropy: 0.6541, recall: 0.748, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.502, root_relative_squared_error: 1.3414, scimark_benchmark: 1835.093, usercpu_time_millis: 20.427, usercpu_time_millis_testing: 20.077, usercpu_time_millis_training: 0.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5919, f_measure: 0.7681, kappa: 0.0964, kb_relative_information_score: -6102.98, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.751, predictive_accuracy: 0.7962, prior_entropy: 0.6541, recall: 0.7962, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4046, root_relative_squared_error: 1.0811, scimark_benchmark: 1728.4155, usercpu_time_millis: 22.915, usercpu_time_millis_testing: 22.719, usercpu_time_millis_training: 0.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.7665, kappa: 0.0502, kb_relative_information_score: -4118.9974, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7619, predictive_accuracy: 0.8274, prior_entropy: 0.6541, recall: 0.8274, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3751, root_relative_squared_error: 1.0023, scimark_benchmark: 1738.3274, usercpu_time_millis: 25.574, usercpu_time_millis_testing: 25.377, usercpu_time_millis_training: 0.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, f_measure: 0.7669, kappa: 0.0522, kb_relative_information_score: -4180.6363, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7609, predictive_accuracy: 0.8267, prior_entropy: 0.6541, recall: 0.8267, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3756, root_relative_squared_error: 1.0037, scimark_benchmark: 1732.0068, usercpu_time_millis: 25.602, usercpu_time_millis_testing: 25.421, usercpu_time_millis_training: 0.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5425, f_measure: 0.746, kappa: 0.0863, kb_relative_information_score: -3698.6247, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7441, predictive_accuracy: 0.748, prior_entropy: 0.6541, recall: 0.748, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.502, root_relative_squared_error: 1.3414, scimark_benchmark: 1857.5664, usercpu_time_millis: 19.867, usercpu_time_millis_testing: 19.573, usercpu_time_millis_training: 0.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5953, f_measure: 0.7693, kappa: 0.093, kb_relative_information_score: -5986.5547, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7517, predictive_accuracy: 0.8018, prior_entropy: 0.6541, recall: 0.8018, relative_absolute_error: 0.9141, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.399, root_relative_squared_error: 1.0662, scimark_benchmark: 1856.1949, usercpu_time_millis: 21.313, usercpu_time_millis_testing: 21.258, usercpu_time_millis_training: 0.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5605, f_measure: 0.746, kappa: 0.0862, kb_relative_information_score: -4115.2802, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7441, predictive_accuracy: 0.7481, prior_entropy: 0.6541, recall: 0.7481, relative_absolute_error: 0.9036, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.2433, scimark_benchmark: 1848.8462, usercpu_time_millis: 20.712, usercpu_time_millis_testing: 20.523, usercpu_time_millis_training: 0.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.603, f_measure: 0.7712, kappa: 0.0849, kb_relative_information_score: -5425.9609, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.755, predictive_accuracy: 0.8139, prior_entropy: 0.6541, recall: 0.8139, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3885, root_relative_squared_error: 1.038, scimark_benchmark: 1738.7921, usercpu_time_millis: 23.498, usercpu_time_millis_testing: 23.306, usercpu_time_millis_training: 0.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, f_measure: 0.7702, kappa: 0.0906, kb_relative_information_score: -5805.7797, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7526, predictive_accuracy: 0.806, prior_entropy: 0.6541, recall: 0.806, relative_absolute_error: 0.9153, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3947, root_relative_squared_error: 1.0546, scimark_benchmark: 1852.5406, usercpu_time_millis: 21.857, usercpu_time_millis_testing: 21.522, usercpu_time_millis_training: 0.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6263, f_measure: 0.763, kappa: 0.0335, kb_relative_information_score: -3767.3343, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7641, predictive_accuracy: 0.8296, prior_entropy: 0.6541, recall: 0.8296, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.9947, scimark_benchmark: 1733.7613, usercpu_time_millis: 26.659, usercpu_time_millis_testing: 26.468, usercpu_time_millis_training: 0.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, f_measure: 0.7702, kappa: 0.0906, kb_relative_information_score: -5805.7797, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7526, predictive_accuracy: 0.806, prior_entropy: 0.6541, recall: 0.806, relative_absolute_error: 0.9153, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3947, root_relative_squared_error: 1.0546, scimark_benchmark: 1852.0126, usercpu_time_millis: 21.806, usercpu_time_millis_testing: 21.486, usercpu_time_millis_training: 0.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5425, f_measure: 0.746, kappa: 0.0863, kb_relative_information_score: -3698.6247, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7441, predictive_accuracy: 0.748, prior_entropy: 0.6541, recall: 0.748, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.502, root_relative_squared_error: 1.3414, scimark_benchmark: 1855.4813, usercpu_time_millis: 19.943, usercpu_time_millis_testing: 19.641, usercpu_time_millis_training: 0.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.769, kappa: 0.0645, kb_relative_information_score: -4588.4715, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7582, predictive_accuracy: 0.8232, prior_entropy: 0.6541, recall: 0.8232, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3792, root_relative_squared_error: 1.0132, scimark_benchmark: 1839.1443, usercpu_time_millis: 23.446, usercpu_time_millis_testing: 23.232, usercpu_time_millis_training: 0.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5425, f_measure: 0.746, kappa: 0.0863, kb_relative_information_score: -3698.6247, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7441, predictive_accuracy: 0.748, prior_entropy: 0.6541, recall: 0.748, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.502, root_relative_squared_error: 1.3414, scimark_benchmark: 1852.0126, usercpu_time_millis: 20.017, usercpu_time_millis_testing: 19.706, usercpu_time_millis_training: 0.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, f_measure: 0.7669, kappa: 0.0522, kb_relative_information_score: -4180.6363, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7609, predictive_accuracy: 0.8267, prior_entropy: 0.6541, recall: 0.8267, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3756, root_relative_squared_error: 1.0037, scimark_benchmark: 1844.7928, usercpu_time_millis: 24.252, usercpu_time_millis_testing: 24.051, usercpu_time_millis_training: 0.201,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.7461, kappa: 0.0866, kb_relative_information_score: -6135.5785, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7442, predictive_accuracy: 0.7482, prior_entropy: 0.6541, recall: 0.7482, relative_absolute_error: 0.9069, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1729, scimark_benchmark: 1846.8932, usercpu_time_millis: 20.601, usercpu_time_millis_testing: 20.415, usercpu_time_millis_training: 0.186,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.7646, kappa: 0.0412, kb_relative_information_score: -3913.2756, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.763, predictive_accuracy: 0.8287, prior_entropy: 0.6541, recall: 0.8287, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.9978, scimark_benchmark: 1849.3014, usercpu_time_millis: 24.89, usercpu_time_millis_testing: 24.539, usercpu_time_millis_training: 0.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6179, f_measure: 0.7675, kappa: 0.0554, kb_relative_information_score: -4242.9756, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7611, predictive_accuracy: 0.8263, prior_entropy: 0.6541, recall: 0.8263, relative_absolute_error: 0.9264, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3762, root_relative_squared_error: 1.0052, scimark_benchmark: 1852.5406, usercpu_time_millis: 23.447, usercpu_time_millis_testing: 23.249, usercpu_time_millis_training: 0.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, f_measure: 0.7669, kappa: 0.0522, kb_relative_information_score: -4180.6363, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7609, predictive_accuracy: 0.8267, prior_entropy: 0.6541, recall: 0.8267, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3756, root_relative_squared_error: 1.0037, scimark_benchmark: 1852.9988, usercpu_time_millis: 23.684, usercpu_time_millis_testing: 23.487, usercpu_time_millis_training: 0.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5425, f_measure: 0.746, kappa: 0.0863, kb_relative_information_score: -3698.6247, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7441, predictive_accuracy: 0.748, prior_entropy: 0.6541, recall: 0.748, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.502, root_relative_squared_error: 1.3414, scimark_benchmark: 1850.8706, usercpu_time_millis: 19.974, usercpu_time_millis_testing: 19.655, usercpu_time_millis_training: 0.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.766, kappa: 0.0477, kb_relative_information_score: -4062.4378, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7617, predictive_accuracy: 0.8276, prior_entropy: 0.6541, recall: 0.8276, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3746, root_relative_squared_error: 1.001, scimark_benchmark: 1849.8294, usercpu_time_millis: 23.974, usercpu_time_millis_testing: 23.784, usercpu_time_millis_training: 0.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.7711, kappa: 0.077, kb_relative_information_score: -4919.9439, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7582, predictive_accuracy: 0.8203, prior_entropy: 0.6541, recall: 0.8203, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3827, root_relative_squared_error: 1.0227, scimark_benchmark: 1077.8406, usercpu_time_millis: 32.687, usercpu_time_millis_testing: 32.401, usercpu_time_millis_training: 0.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.763, kappa: 0.0339, kb_relative_information_score: -3799.1113, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7628, predictive_accuracy: 0.8293, prior_entropy: 0.6541, recall: 0.8293, relative_absolute_error: 0.9312, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.9954, scimark_benchmark: 1853.9121, usercpu_time_millis: 24.623, usercpu_time_millis_testing: 24.424, usercpu_time_millis_training: 0.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5919, f_measure: 0.7681, kappa: 0.0964, kb_relative_information_score: -6102.98, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.751, predictive_accuracy: 0.7962, prior_entropy: 0.6541, recall: 0.7962, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4046, root_relative_squared_error: 1.0811, scimark_benchmark: 1853.9121, usercpu_time_millis: 21.208, usercpu_time_millis_testing: 21.015, usercpu_time_millis_training: 0.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5605, f_measure: 0.746, kappa: 0.0862, kb_relative_information_score: -4115.2802, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7441, predictive_accuracy: 0.7481, prior_entropy: 0.6541, recall: 0.7481, relative_absolute_error: 0.9036, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.2433, scimark_benchmark: 1842.6464, usercpu_time_millis: 21.116, usercpu_time_millis_testing: 20.895, usercpu_time_millis_training: 0.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.768, kappa: 0.0962, kb_relative_information_score: -6221.199, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7509, predictive_accuracy: 0.7961, prior_entropy: 0.6541, recall: 0.7961, relative_absolute_error: 0.9111, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4121, root_relative_squared_error: 1.1013, scimark_benchmark: 1853.9121, usercpu_time_millis: 21.067, usercpu_time_millis_testing: 20.876, usercpu_time_millis_training: 0.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5953, f_measure: 0.7693, kappa: 0.093, kb_relative_information_score: -5986.5547, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7517, predictive_accuracy: 0.8018, prior_entropy: 0.6541, recall: 0.8018, relative_absolute_error: 0.9141, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.399, root_relative_squared_error: 1.0662, scimark_benchmark: 1857.6392, usercpu_time_millis: 21.434, usercpu_time_millis_testing: 21.378, usercpu_time_millis_training: 0.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.7461, kappa: 0.0866, kb_relative_information_score: -6135.5785, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7442, predictive_accuracy: 0.7482, prior_entropy: 0.6541, recall: 0.7482, relative_absolute_error: 0.9069, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1729, scimark_benchmark: 1843.7454, usercpu_time_millis: 21.385, usercpu_time_millis_testing: 21.154, usercpu_time_millis_training: 0.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, f_measure: 0.7709, kappa: 0.0784, kb_relative_information_score: -5046.1477, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7561, predictive_accuracy: 0.8177, prior_entropy: 0.6541, recall: 0.8177, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3843, root_relative_squared_error: 1.0269, scimark_benchmark: 1844.2676, usercpu_time_millis: 22.651, usercpu_time_millis_testing: 22.452, usercpu_time_millis_training: 0.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.769, kappa: 0.0645, kb_relative_information_score: -4588.4715, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7582, predictive_accuracy: 0.8232, prior_entropy: 0.6541, recall: 0.8232, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3792, root_relative_squared_error: 1.0132, scimark_benchmark: 1852.472, usercpu_time_millis: 23.308, usercpu_time_millis_testing: 23.098, usercpu_time_millis_training: 0.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.768, kappa: 0.0962, kb_relative_information_score: -6221.199, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7509, predictive_accuracy: 0.7961, prior_entropy: 0.6541, recall: 0.7961, relative_absolute_error: 0.9111, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4121, root_relative_squared_error: 1.1013, scimark_benchmark: 1853.454, usercpu_time_millis: 21.333, usercpu_time_millis_testing: 21.126, usercpu_time_millis_training: 0.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5797, f_measure: 0.746, kappa: 0.0862, kb_relative_information_score: -6230.8892, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7441, predictive_accuracy: 0.748, prior_entropy: 0.6541, recall: 0.748, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4228, root_relative_squared_error: 1.1299, scimark_benchmark: 1850.4154, usercpu_time_millis: 21.124, usercpu_time_millis_testing: 20.921, usercpu_time_millis_training: 0.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, f_measure: 0.7702, kappa: 0.0906, kb_relative_information_score: -5805.7797, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7526, predictive_accuracy: 0.806, prior_entropy: 0.6541, recall: 0.806, relative_absolute_error: 0.9153, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3947, root_relative_squared_error: 1.0546, scimark_benchmark: 1855.4813, usercpu_time_millis: 21.502, usercpu_time_millis_testing: 21.18, usercpu_time_millis_training: 0.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, f_measure: 0.7669, kappa: 0.0522, kb_relative_information_score: -4180.6363, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7609, predictive_accuracy: 0.8267, prior_entropy: 0.6541, recall: 0.8267, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3756, root_relative_squared_error: 1.0037, scimark_benchmark: 1843.2356, usercpu_time_millis: 24.024, usercpu_time_millis_testing: 23.826, usercpu_time_millis_training: 0.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5953, f_measure: 0.7693, kappa: 0.093, kb_relative_information_score: -5986.5547, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7517, predictive_accuracy: 0.8018, prior_entropy: 0.6541, recall: 0.8018, relative_absolute_error: 0.9141, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.399, root_relative_squared_error: 1.0662, scimark_benchmark: 1848.388, usercpu_time_millis: 21.651, usercpu_time_millis_testing: 21.59, usercpu_time_millis_training: 0.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.7635, kappa: 0.0359, kb_relative_information_score: -3833.9523, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7626, predictive_accuracy: 0.8291, prior_entropy: 0.6541, recall: 0.8291, relative_absolute_error: 0.9307, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9961, scimark_benchmark: 1850.0581, usercpu_time_millis: 24.747, usercpu_time_millis_testing: 24.551, usercpu_time_millis_training: 0.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.7715, kappa: 0.083, kb_relative_information_score: -5228.7048, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7563, predictive_accuracy: 0.8164, prior_entropy: 0.6541, recall: 0.8164, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3862, root_relative_squared_error: 1.032, scimark_benchmark: 1849.3742, usercpu_time_millis: 22.111, usercpu_time_millis_testing: 21.794, usercpu_time_millis_training: 0.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6219, f_measure: 0.7652, kappa: 0.0438, kb_relative_information_score: -4008.8858, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.761, predictive_accuracy: 0.8278, prior_entropy: 0.6541, recall: 0.8278, relative_absolute_error: 0.9288, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9998, scimark_benchmark: 1848.916, usercpu_time_millis: 24.13, usercpu_time_millis_testing: 23.927, usercpu_time_millis_training: 0.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.7646, kappa: 0.0412, kb_relative_information_score: -3913.2756, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.763, predictive_accuracy: 0.8287, prior_entropy: 0.6541, recall: 0.8287, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.9978, scimark_benchmark: 1849.3014, usercpu_time_millis: 24.494, usercpu_time_millis_testing: 24.159, usercpu_time_millis_training: 0.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.7637, kappa: 0.0372, kb_relative_information_score: -3872.7147, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7621, predictive_accuracy: 0.8288, prior_entropy: 0.6541, recall: 0.8288, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.9969, scimark_benchmark: 1857.1082, usercpu_time_millis: 24.473, usercpu_time_millis_testing: 24.279, usercpu_time_millis_training: 0.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.766, kappa: 0.0477, kb_relative_information_score: -4062.4378, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7617, predictive_accuracy: 0.8276, prior_entropy: 0.6541, recall: 0.8276, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3746, root_relative_squared_error: 1.001, scimark_benchmark: 1845.7835, usercpu_time_millis: 24.589, usercpu_time_millis_testing: 24.371, usercpu_time_millis_training: 0.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.763, kappa: 0.0339, kb_relative_information_score: -3799.1113, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7628, predictive_accuracy: 0.8293, prior_entropy: 0.6541, recall: 0.8293, relative_absolute_error: 0.9312, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.9954, scimark_benchmark: 1857.1082, usercpu_time_millis: 24.629, usercpu_time_millis_testing: 24.424, usercpu_time_millis_training: 0.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.7637, kappa: 0.0372, kb_relative_information_score: -3872.7147, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7621, predictive_accuracy: 0.8288, prior_entropy: 0.6541, recall: 0.8288, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.9969, scimark_benchmark: 1853.9121, usercpu_time_millis: 24.753, usercpu_time_millis_testing: 24.55, usercpu_time_millis_training: 0.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.763, kappa: 0.0339, kb_relative_information_score: -3799.1113, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7628, predictive_accuracy: 0.8293, prior_entropy: 0.6541, recall: 0.8293, relative_absolute_error: 0.9312, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.9954, scimark_benchmark: 1857.1082, usercpu_time_millis: 24.663, usercpu_time_millis_testing: 24.459, usercpu_time_millis_training: 0.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5919, f_measure: 0.7681, kappa: 0.0964, kb_relative_information_score: -6102.98, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.751, predictive_accuracy: 0.7962, prior_entropy: 0.6541, recall: 0.7962, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4046, root_relative_squared_error: 1.0811, scimark_benchmark: 1852.859, usercpu_time_millis: 21.257, usercpu_time_millis_testing: 21.07, usercpu_time_millis_training: 0.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.7646, kappa: 0.0412, kb_relative_information_score: -3913.2756, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.763, predictive_accuracy: 0.8287, prior_entropy: 0.6541, recall: 0.8287, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.9978, scimark_benchmark: 1850.8706, usercpu_time_millis: 24.188, usercpu_time_millis_testing: 23.867, usercpu_time_millis_training: 0.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, f_measure: 0.7681, kappa: 0.059, kb_relative_information_score: -4398.0346, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7594, predictive_accuracy: 0.8249, prior_entropy: 0.6541, recall: 0.8249, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3775, root_relative_squared_error: 1.0088, scimark_benchmark: 1842.7105, usercpu_time_millis: 24.066, usercpu_time_millis_testing: 23.855, usercpu_time_millis_training: 0.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, f_measure: 0.7669, kappa: 0.0522, kb_relative_information_score: -4180.6363, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7609, predictive_accuracy: 0.8267, prior_entropy: 0.6541, recall: 0.8267, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3756, root_relative_squared_error: 1.0037, scimark_benchmark: 1853.3841, usercpu_time_millis: 24.514, usercpu_time_millis_testing: 24.302, usercpu_time_millis_training: 0.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, f_measure: 0.7702, kappa: 0.0906, kb_relative_information_score: -5805.7797, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7526, predictive_accuracy: 0.806, prior_entropy: 0.6541, recall: 0.806, relative_absolute_error: 0.9153, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3947, root_relative_squared_error: 1.0546, scimark_benchmark: 1840.7617, usercpu_time_millis: 21.922, usercpu_time_millis_testing: 21.586, usercpu_time_millis_training: 0.336,

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