Task
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: 0.6902, f_measure: 0.7709, kappa: 0.066, kb_relative_information_score: -2884.3124, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8004, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9625, scimark_benchmark: 1850.2875, usercpu_time_millis: 49.219, usercpu_time_millis_testing: 2.222, usercpu_time_millis_training: 46.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -8.7123, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1847.4809, usercpu_time_millis: 29.518, usercpu_time_millis_testing: 5.068, usercpu_time_millis_training: 24.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.612, f_measure: 0.7692, kappa: 0.0983, kb_relative_information_score: -6836.2637, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7521, predictive_accuracy: 0.7984, prior_entropy: 0.6541, recall: 0.7984, relative_absolute_error: 0.9292, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4011, root_relative_squared_error: 1.0718, scimark_benchmark: 1852.9988, usercpu_time_millis: 2.367, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 2.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7705, kappa: 0.0643, kb_relative_information_score: -2902.7078, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7983, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9318, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9631, scimark_benchmark: 1996.4263, usercpu_time_millis: 376.886, usercpu_time_millis_testing: 6.767, usercpu_time_millis_training: 370.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6926, f_measure: 0.768, kappa: 0.054, kb_relative_information_score: -2572.1299, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7961, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9626, scimark_benchmark: 1943.662, usercpu_time_millis: 206.409, usercpu_time_millis_testing: 3.878, usercpu_time_millis_training: 202.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.7551, kb_relative_information_score: -1935.9021, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9581, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.9698, scimark_benchmark: 1852.4707, usercpu_time_millis: 144.095, usercpu_time_millis_testing: 13.582, usercpu_time_millis_training: 130.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.7768, kappa: 0.0928, kb_relative_information_score: -4043.6606, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7902, predictive_accuracy: 0.8335, prior_entropy: 0.6541, recall: 0.8335, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9711, scimark_benchmark: 1994.3903, usercpu_time_millis: 88.628, usercpu_time_millis_testing: 3.095, usercpu_time_millis_training: 85.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.7618, kappa: 0.0275, kb_relative_information_score: -2471.9015, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7957, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9314, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9636, scimark_benchmark: 1940.6562, usercpu_time_millis: 86.732, usercpu_time_millis_testing: 0.982, usercpu_time_millis_training: 85.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6734, f_measure: 0.7551, kb_relative_information_score: -2314.3533, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9712, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.9789, scimark_benchmark: 1852.0126, usercpu_time_millis: 58.369, usercpu_time_millis_testing: 2.519, usercpu_time_millis_training: 55.85,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -0.7608, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1979.1988, usercpu_time_millis: 23.783, usercpu_time_millis_testing: 4.283, usercpu_time_millis_training: 19.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6191, f_measure: 0.7551, kb_relative_information_score: -4103.4143, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9869, scimark_benchmark: 2070.3586, usercpu_time_millis: 8.843, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 8.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -61.7257, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1845.4897, usercpu_time_millis: 3.028, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 2.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.7588, kappa: 0.0151, kb_relative_information_score: -2370.1604, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8071, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9694, scimark_benchmark: 1972.5864, usercpu_time_millis: 3.756, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 3.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.7569, kappa: 0.0074, kb_relative_information_score: -2439.2556, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.792, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9439, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.969, scimark_benchmark: 1769.9622, usercpu_time_millis: 442.389, usercpu_time_millis_testing: 11.88, usercpu_time_millis_training: 430.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.7572, kappa: 0.0085, kb_relative_information_score: -2353.3832, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8016, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9656, scimark_benchmark: 1859.6666, usercpu_time_millis: 367.424, usercpu_time_millis_testing: 15.38, usercpu_time_millis_training: 352.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, f_measure: 0.7563, kappa: 0.0048, kb_relative_information_score: -2541.706, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7779, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9462, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9696, scimark_benchmark: 1852.1937, usercpu_time_millis: 186.292, usercpu_time_millis_testing: 8.177, usercpu_time_millis_training: 178.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.7551, kb_relative_information_score: -2515.0074, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9696, scimark_benchmark: 1854.4951, usercpu_time_millis: 177.729, usercpu_time_millis_testing: 6.385, usercpu_time_millis_training: 171.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.7551, kb_relative_information_score: -1975.5317, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9645, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.974, scimark_benchmark: 1852.0126, usercpu_time_millis: 173.499, usercpu_time_millis_testing: 12.882, usercpu_time_millis_training: 160.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.7579, kappa: 0.0113, kb_relative_information_score: -2371.0274, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8053, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9649, scimark_benchmark: 1846.6923, usercpu_time_millis: 130.944, usercpu_time_millis_testing: 4.631, usercpu_time_millis_training: 126.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6605, f_measure: 0.7551, kb_relative_information_score: -2670.7967, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.9827, scimark_benchmark: 1850.0581, usercpu_time_millis: 66.771, usercpu_time_millis_testing: 4.693, usercpu_time_millis_training: 62.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -0.1678, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1851.9456, usercpu_time_millis: 29.624, usercpu_time_millis_testing: 5.08, usercpu_time_millis_training: 24.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.7551, kb_relative_information_score: -2535.7174, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9492, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9695, scimark_benchmark: 1848.321, usercpu_time_millis: 28.983, usercpu_time_millis_testing: 0.752, usercpu_time_millis_training: 28.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, f_measure: 0.7551, kb_relative_information_score: -1887.9754, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9794, scimark_benchmark: 1858.6775, usercpu_time_millis: 19.568, usercpu_time_millis_testing: 1.808, usercpu_time_millis_training: 17.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -26.3389, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1755.6921, usercpu_time_millis: 12.585, usercpu_time_millis_testing: 1.126, usercpu_time_millis_training: 11.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, f_measure: 0.7732, kappa: 0.0774, kb_relative_information_score: -3479.2656, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7859, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9258, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9762, scimark_benchmark: 1755.7224, usercpu_time_millis: 8.039, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 7.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.7706, kappa: 0.0649, kb_relative_information_score: -2305.7553, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7999, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9626, scimark_benchmark: 1847.8629, usercpu_time_millis: 1161.989, usercpu_time_millis_testing: 10.44, usercpu_time_millis_training: 1151.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.7551, kappa: -0.0002, kb_relative_information_score: -2420.0909, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9677, scimark_benchmark: 1848.916, usercpu_time_millis: 418.246, usercpu_time_millis_testing: 16.221, usercpu_time_millis_training: 402.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7602, kappa: 0.0209, kb_relative_information_score: -2461.061, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8073, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1848.2615, usercpu_time_millis: 362.556, usercpu_time_millis_testing: 15.496, usercpu_time_millis_training: 347.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.7603, kappa: 0.0213, kb_relative_information_score: -2428.5289, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7923, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9648, scimark_benchmark: 1791.3829, usercpu_time_millis: 342.864, usercpu_time_millis_testing: 4.747, usercpu_time_millis_training: 338.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.7613, kappa: 0.0254, kb_relative_information_score: -2411.255, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.797, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9319, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.964, scimark_benchmark: 1845.3208, usercpu_time_millis: 209.07, usercpu_time_millis_testing: 2.649, usercpu_time_millis_training: 206.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.7582, kappa: 0.0127, kb_relative_information_score: -2500.7252, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7823, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9669, scimark_benchmark: 1848.388, usercpu_time_millis: 150.4, usercpu_time_millis_testing: 2.418, usercpu_time_millis_training: 147.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.7581, kappa: 0.0122, kb_relative_information_score: -2434.4905, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8067, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9669, scimark_benchmark: 1849.9572, usercpu_time_millis: 124.583, usercpu_time_millis_testing: 4.761, usercpu_time_millis_training: 119.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -2285.2929, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7397, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9476, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9669, scimark_benchmark: 1848.916, usercpu_time_millis: 114.152, usercpu_time_millis_testing: 4.95, usercpu_time_millis_training: 109.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.7572, kappa: 0.0087, kb_relative_information_score: -2460.3449, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8008, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9678, scimark_benchmark: 1853.9121, usercpu_time_millis: 88.85, usercpu_time_millis_testing: 2.317, usercpu_time_millis_training: 86.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.617, f_measure: 0.7551, kb_relative_information_score: -2650.5519, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.99, scimark_benchmark: 1849.8294, usercpu_time_millis: 85.903, usercpu_time_millis_testing: 7.068, usercpu_time_millis_training: 78.835,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.7551, kb_relative_information_score: -1567.0309, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9879, scimark_benchmark: 1244.0501, usercpu_time_millis: 111.59, usercpu_time_millis_testing: 14.49, usercpu_time_millis_training: 97.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.7685, kappa: 0.056, kb_relative_information_score: -2712.244, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7974, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9629, scimark_benchmark: 1374.1025, usercpu_time_millis: 494, usercpu_time_millis_testing: 9.2, usercpu_time_millis_training: 484.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -1764.1369, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8193, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9658, scimark_benchmark: 1349.0392, usercpu_time_millis: 432.3, usercpu_time_millis_testing: 40.62, usercpu_time_millis_training: 391.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.7714, kappa: 0.0681, kb_relative_information_score: -2663.8393, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8004, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.9606, scimark_benchmark: 1358.4896, usercpu_time_millis: 405.07, usercpu_time_millis_testing: 9.84, usercpu_time_millis_training: 395.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.7684, kappa: 0.0552, kb_relative_information_score: -2146.875, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8047, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9286, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.9589, scimark_benchmark: 1332.8358, usercpu_time_millis: 389.7, usercpu_time_millis_testing: 10.42, usercpu_time_millis_training: 379.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6798, f_measure: 0.7551, kb_relative_information_score: -2400.1555, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9635, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9747, scimark_benchmark: 1352.8548, usercpu_time_millis: 183.9, usercpu_time_millis_testing: 13.57, usercpu_time_millis_training: 170.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.7551, kb_relative_information_score: -3134.9874, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9743, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.9827, scimark_benchmark: 1376.6394, usercpu_time_millis: 170.13, usercpu_time_millis_testing: 14.02, usercpu_time_millis_training: 156.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6864, f_measure: 0.7579, kappa: 0.0116, kb_relative_information_score: -2455.9948, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7969, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9411, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9676, scimark_benchmark: 1779.7998, usercpu_time_millis: 256.803, usercpu_time_millis_testing: 6.885, usercpu_time_millis_training: 249.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.7606, kappa: 0.0227, kb_relative_information_score: -2222.9933, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.804, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9329, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9623, scimark_benchmark: 1895.6507, usercpu_time_millis: 251.975, usercpu_time_millis_testing: 6.762, usercpu_time_millis_training: 245.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6856, f_measure: 0.7551, kb_relative_information_score: -1972.7275, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.966, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9748, scimark_benchmark: 1890.1298, usercpu_time_millis: 54.086, usercpu_time_millis_testing: 3.327, usercpu_time_millis_training: 50.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.7565, kappa: 0.0059, kb_relative_information_score: -3160.8302, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8103, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9581, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9757, scimark_benchmark: 1787.0622, usercpu_time_millis: 53.69, usercpu_time_millis_testing: 2.322, usercpu_time_millis_training: 51.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -0.7082, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1768.0724, usercpu_time_millis: 41.864, usercpu_time_millis_testing: 6.998, usercpu_time_millis_training: 34.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.7585, kappa: 0.0138, kb_relative_information_score: -2295.6578, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8134, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9434, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9649, scimark_benchmark: 1781.136, usercpu_time_millis: 34.609, usercpu_time_millis_testing: 1.506, usercpu_time_millis_training: 33.103,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -4.1115, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1816.4916, usercpu_time_millis: 20.239, usercpu_time_millis_testing: 2.442, usercpu_time_millis_training: 17.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.7551, kb_relative_information_score: -2893.9321, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9653, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.9769, scimark_benchmark: 1815.6751, usercpu_time_millis: 18.629, usercpu_time_millis_testing: 1.02, usercpu_time_millis_training: 17.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.7783, kappa: 0.0997, kb_relative_information_score: -3797.6565, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7904, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9705, scimark_benchmark: 1226.7058, usercpu_time_millis: 2123.581, usercpu_time_millis_testing: 28.462, usercpu_time_millis_training: 2095.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.7716, kappa: 0.0692, kb_relative_information_score: -2861.3574, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7996, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9632, scimark_benchmark: 1221.1423, usercpu_time_millis: 1844.393, usercpu_time_millis_testing: 18.477, usercpu_time_millis_training: 1825.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.768, kappa: 0.0535, kb_relative_information_score: -2365.8149, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8003, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9289, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.9599, scimark_benchmark: 1222.7211, usercpu_time_millis: 803.654, usercpu_time_millis_testing: 19.915, usercpu_time_millis_training: 783.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.7594, kappa: 0.0181, kb_relative_information_score: -2838.3771, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7656, predictive_accuracy: 0.8308, prior_entropy: 0.6541, recall: 0.8308, relative_absolute_error: 0.9358, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9689, scimark_benchmark: 1207.623, usercpu_time_millis: 281.997, usercpu_time_millis_testing: 2.988, usercpu_time_millis_training: 279.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6851, f_measure: 0.7605, kappa: 0.0221, kb_relative_information_score: -2496.7167, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7974, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9414, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9679, scimark_benchmark: 1200.8974, usercpu_time_millis: 215.061, usercpu_time_millis_testing: 6.193, usercpu_time_millis_training: 208.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, f_measure: 0.776, kappa: 0.0888, kb_relative_information_score: -3516.8304, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7922, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.934, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1218.1608, usercpu_time_millis: 736.871, usercpu_time_millis_testing: 13.076, usercpu_time_millis_training: 723.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -1.5873, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1218.3741, usercpu_time_millis: 43.449, usercpu_time_millis_testing: 6.937, usercpu_time_millis_training: 36.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.761, kappa: 0.0243, kb_relative_information_score: -2297.6831, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7982, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9628, scimark_benchmark: 1217.3826, usercpu_time_millis: 452.392, usercpu_time_millis_testing: 8.635, usercpu_time_millis_training: 443.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.7589, kappa: 0.0156, kb_relative_information_score: -2454.2317, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7906, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9655, scimark_benchmark: 1220.2931, usercpu_time_millis: 753.308, usercpu_time_millis_testing: 13.29, usercpu_time_millis_training: 740.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.774, kappa: 0.0799, kb_relative_information_score: -3299.4132, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7943, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9653, scimark_benchmark: 1232.1815, usercpu_time_millis: 774.33, usercpu_time_millis_testing: 9.606, usercpu_time_millis_training: 764.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.7615, kappa: 0.0263, kb_relative_information_score: -2671.6322, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8016, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1231.4265, usercpu_time_millis: 455.895, usercpu_time_millis_testing: 16.051, usercpu_time_millis_training: 439.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.65, f_measure: 0.7551, kb_relative_information_score: -1091.0911, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.9916, scimark_benchmark: 1199.1362, usercpu_time_millis: 17.451, usercpu_time_millis_testing: 1.609, usercpu_time_millis_training: 15.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6209, f_measure: 0.7551, kb_relative_information_score: -2393.7669, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.9892, scimark_benchmark: 1220.8944, usercpu_time_millis: 54.633, usercpu_time_millis_testing: 3.655, usercpu_time_millis_training: 50.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.7551, kb_relative_information_score: -1383.2013, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.9896, scimark_benchmark: 1232.4777, usercpu_time_millis: 118.012, usercpu_time_millis_testing: 11.699, usercpu_time_millis_training: 106.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -0.4776, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1231.8984, usercpu_time_millis: 44.771, usercpu_time_millis_testing: 8.142, usercpu_time_millis_training: 36.629,

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

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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

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