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: 0.6867, f_measure: 0.7723, kappa: 0.0726, kb_relative_information_score: -3882.8254, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7941, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9446, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1735.1328, usercpu_time_millis: 213.961, usercpu_time_millis_testing: 4.71, usercpu_time_millis_training: 209.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.7677, kappa: 0.0522, kb_relative_information_score: -2784.2562, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8025, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.9599, scimark_benchmark: 1730.2409, usercpu_time_millis: 97.152, usercpu_time_millis_testing: 5.486, usercpu_time_millis_training: 91.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.7698, kappa: 0.0614, kb_relative_information_score: -3469.8192, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7996, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9625, scimark_benchmark: 1731.0996, usercpu_time_millis: 144.784, usercpu_time_millis_testing: 7.05, usercpu_time_millis_training: 137.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.7714, kappa: 0.0684, kb_relative_information_score: -3516.4907, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.797, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9415, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9628, scimark_benchmark: 1851.9295, usercpu_time_millis: 172.892, usercpu_time_millis_testing: 7.292, usercpu_time_millis_training: 165.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.7711, kappa: 0.0668, kb_relative_information_score: -3229.0021, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8006, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9384, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9616, scimark_benchmark: 1853.454, usercpu_time_millis: 126.15, usercpu_time_millis_testing: 5.891, usercpu_time_millis_training: 120.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.7727, kappa: 0.0741, kb_relative_information_score: -3671.781, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7946, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9654, scimark_benchmark: 1853.3841, usercpu_time_millis: 153.834, usercpu_time_millis_testing: 3.886, usercpu_time_millis_training: 149.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, f_measure: 0.7693, kappa: 0.0594, kb_relative_information_score: -3810.5833, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7935, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9471, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9642, scimark_benchmark: 1732.0265, usercpu_time_millis: 243.837, usercpu_time_millis_testing: 9.092, usercpu_time_millis_training: 234.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, f_measure: 0.7685, kappa: 0.056, kb_relative_information_score: -3620.3944, mean_absolute_error: 0.2652, 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: 0.9469, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9628, scimark_benchmark: 1851.4743, usercpu_time_millis: 189.02, usercpu_time_millis_testing: 11.527, usercpu_time_millis_training: 177.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, f_measure: 0.774, kappa: 0.0799, kb_relative_information_score: -3853.2606, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7957, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1733.7613, usercpu_time_millis: 266.834, usercpu_time_millis_testing: 5.225, usercpu_time_millis_training: 261.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.7782, kappa: 0.0993, kb_relative_information_score: -4232.4147, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7883, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.9729, scimark_benchmark: 1843.1687, usercpu_time_millis: 136.643, usercpu_time_millis_testing: 2.051, usercpu_time_millis_training: 134.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.7578, kappa: 0.0111, kb_relative_information_score: -1864.6738, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8312, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9541, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1732.4272, usercpu_time_millis: 193.84, usercpu_time_millis_testing: 13.36, usercpu_time_millis_training: 180.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.7751, kappa: 0.0844, kb_relative_information_score: -3856.5052, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.798, predictive_accuracy: 0.8349, prior_entropy: 0.6541, recall: 0.8349, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1853.5297, usercpu_time_millis: 161.019, usercpu_time_millis_testing: 3.727, usercpu_time_millis_training: 157.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.7776, kappa: 0.0977, kb_relative_information_score: -3900.4273, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7847, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.934, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9735, scimark_benchmark: 1732.9618, usercpu_time_millis: 298.172, usercpu_time_millis_testing: 4.075, usercpu_time_millis_training: 294.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.7707, kappa: 0.0654, kb_relative_information_score: -3710.1328, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7995, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9638, scimark_benchmark: 1723.9607, usercpu_time_millis: 265.649, usercpu_time_millis_testing: 10.871, usercpu_time_millis_training: 254.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6805, f_measure: 0.777, kappa: 0.0938, kb_relative_information_score: -4097.1253, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7912, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.97, scimark_benchmark: 1855.4813, usercpu_time_millis: 228.096, usercpu_time_millis_testing: 3.882, usercpu_time_millis_training: 224.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.7699, kappa: 0.0619, kb_relative_information_score: -3704.4623, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7985, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9459, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9634, scimark_benchmark: 1828.7746, usercpu_time_millis: 240.428, usercpu_time_millis_testing: 10.195, usercpu_time_millis_training: 230.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, f_measure: 0.7743, kappa: 0.0812, kb_relative_information_score: -3908.2934, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7919, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9419, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1852.4707, usercpu_time_millis: 256.005, usercpu_time_millis_testing: 4.979, usercpu_time_millis_training: 251.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5651, f_measure: 0.7551, kb_relative_information_score: -44149.7101, mean_absolute_error: 0.4069, 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: 1.4526, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4204, root_relative_squared_error: 1.1233, scimark_benchmark: 1737.8652, usercpu_time_millis: 2.106, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 2.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.756, kappa: 0.0035, kb_relative_information_score: -1999.6903, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8041, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.938, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9633, scimark_benchmark: 1849.3742, usercpu_time_millis: 19.105, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 18.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6448, f_measure: 0.7579, kappa: 0.0113, kb_relative_information_score: -3000.2325, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8144, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9677, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.982, scimark_benchmark: 1723.9607, usercpu_time_millis: 9.481, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 9.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -2760.2565, mean_absolute_error: 0.2714, 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: 0.969, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9825, scimark_benchmark: 1718.2966, usercpu_time_millis: 15.314, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 15.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -6970.194, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0366, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.996, scimark_benchmark: 1854.1098, usercpu_time_millis: 17.807, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 17.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.776, kappa: 0.0875, kb_relative_information_score: -973.9888, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8065, predictive_accuracy: 0.8363, prior_entropy: 0.6541, recall: 0.8363, relative_absolute_error: 0.9074, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.9525, scimark_benchmark: 1816.9639, usercpu_time_millis: 19.886, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 19.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3400.8952, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1735.1328, usercpu_time_millis: 23.624, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 23.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6251, f_measure: 0.7562, kappa: 0.0044, kb_relative_information_score: -3299.7414, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8252, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.9866, scimark_benchmark: 1738.3274, usercpu_time_millis: 1.527, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 1.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6401, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -3391.1828, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8141, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9681, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9826, scimark_benchmark: 1727.044, usercpu_time_millis: 35.238, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 35.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6426, f_measure: 0.7575, kappa: 0.0096, kb_relative_information_score: -2631.647, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8185, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9731, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9834, scimark_benchmark: 1846.7651, usercpu_time_millis: 16.516, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 16.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.7579, kappa: 0.0113, kb_relative_information_score: -3101.9565, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8144, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9818, scimark_benchmark: 1733.7613, usercpu_time_millis: 7.531, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 7.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, f_measure: 0.7577, kappa: 0.0107, kb_relative_information_score: -3360.174, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.816, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9822, scimark_benchmark: 1731.5618, usercpu_time_millis: 6.159, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 6.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6183, f_measure: 0.7555, kappa: 0.0018, kb_relative_information_score: -3548.3424, mean_absolute_error: 0.2758, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8039, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9882, scimark_benchmark: 1733.8252, usercpu_time_millis: 7.552, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 7.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3393.6363, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1733.7613, usercpu_time_millis: 22.458, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 22.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6249, f_measure: 0.7562, kappa: 0.0044, kb_relative_information_score: -3480.435, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8252, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.9866, scimark_benchmark: 1736.4936, usercpu_time_millis: 35.682, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 35.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6404, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -3353.2465, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8141, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9678, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9826, scimark_benchmark: 1732.8983, usercpu_time_millis: 6.893, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 6.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6378, f_measure: 0.7577, kappa: 0.0108, kb_relative_information_score: -3287.3966, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8179, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9703, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9832, scimark_benchmark: 1850.2875, usercpu_time_millis: 7.191, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 7.178,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6485, f_measure: 0.7551, kb_relative_information_score: -7168.7657, mean_absolute_error: 0.2949, 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: 1.0528, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.371, root_relative_squared_error: 0.9914, scimark_benchmark: 1853.5297, usercpu_time_millis: 22.153, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 22.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, f_measure: 0.7728, kappa: 0.1366, kb_relative_information_score: -3471.602, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7603, predictive_accuracy: 0.7905, prior_entropy: 0.6541, recall: 0.7905, relative_absolute_error: 0.8888, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4004, root_relative_squared_error: 1.0699, scimark_benchmark: 1735.1328, usercpu_time_millis: 68.509, usercpu_time_millis_testing: 1.962, usercpu_time_millis_training: 66.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3390.4402, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1822.0413, usercpu_time_millis: 78.759, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 78.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3414.3934, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1845.779, usercpu_time_millis: 38.373, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 38.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6352, f_measure: 0.7574, kappa: 0.0095, kb_relative_information_score: -3248.2257, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8142, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9719, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9839, scimark_benchmark: 1841.6688, usercpu_time_millis: 3.74, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 3.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6296, f_measure: 0.7568, kappa: 0.0069, kb_relative_information_score: -3428.8146, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8183, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9773, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.9853, scimark_benchmark: 1736.0929, usercpu_time_millis: 27.206, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 27.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3265.3636, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9651, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9817, scimark_benchmark: 1851.0162, usercpu_time_millis: 74.021, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 74.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3515.4092, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.818, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9818, scimark_benchmark: 1817.1383, usercpu_time_millis: 83.128, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 83.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3382.0839, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1730.1903, usercpu_time_millis: 45.033, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 45.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6327, f_measure: 0.757, kappa: 0.0078, kb_relative_information_score: -3366.9012, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8166, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.9845, scimark_benchmark: 1732.3996, usercpu_time_millis: 95.789, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 95.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5292, f_measure: 0.7551, kb_relative_information_score: -48255.0768, mean_absolute_error: 0.4235, 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: 1.5119, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.1548, scimark_benchmark: 1857.1424, usercpu_time_millis: 21.993, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 21.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6272, f_measure: 0.7565, kappa: 0.0056, kb_relative_information_score: -3455.2642, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8223, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.369, root_relative_squared_error: 0.986, scimark_benchmark: 1833.1288, usercpu_time_millis: 39.002, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 38.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.7553, kappa: 0.0008, kb_relative_information_score: -2266.7593, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7758, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9666, scimark_benchmark: 1727.4447, usercpu_time_millis: 27.625, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 27.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3439.3336, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1729.8554, usercpu_time_millis: 23.293, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 23.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6049, f_measure: 0.7552, kappa: 0.0005, kb_relative_information_score: -3752.2605, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.9908, scimark_benchmark: 1852.9988, usercpu_time_millis: 21, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 20.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.7565, kappa: 0.0057, kb_relative_information_score: -3445.5699, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8158, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9782, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.9857, scimark_benchmark: 1851.827, usercpu_time_millis: 62.938, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 62.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, f_measure: 0.7569, kappa: 0.0073, kb_relative_information_score: -3408.5745, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8174, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.976, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9848, scimark_benchmark: 1737.9267, usercpu_time_millis: 71.773, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 71.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3392.7862, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1726.4775, usercpu_time_millis: 28.218, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 28.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, f_measure: 0.7774, kappa: 0.0939, kb_relative_information_score: -972.7222, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8034, predictive_accuracy: 0.8361, prior_entropy: 0.6541, recall: 0.8361, relative_absolute_error: 0.9027, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.9535, scimark_benchmark: 1730.591, usercpu_time_millis: 70.343, usercpu_time_millis_testing: 1.468, usercpu_time_millis_training: 68.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3426.2306, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1855.0232, usercpu_time_millis: 5.473, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 5.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3476.8153, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9647, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1730.1903, usercpu_time_millis: 79.531, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 79.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3402.5494, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1853.454, usercpu_time_millis: 67.429, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 67.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3243.4286, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9652, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9817, scimark_benchmark: 1733.7613, usercpu_time_millis: 53.32, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 53.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, f_measure: 0.7577, kappa: 0.0108, kb_relative_information_score: -2933.1721, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.82, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9822, scimark_benchmark: 1736.0929, usercpu_time_millis: 75.759, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 75.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3402.5254, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1849.8294, usercpu_time_millis: 43.816, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 43.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6223, f_measure: 0.7559, kappa: 0.0032, kb_relative_information_score: -3521.5504, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8159, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9823, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.9872, scimark_benchmark: 1854.4431, usercpu_time_millis: 42.289, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 42.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6446, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -2710.2228, mean_absolute_error: 0.2715, 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: 0.9694, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9826, scimark_benchmark: 1839.5885, usercpu_time_millis: 55.366, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 55.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5261, f_measure: 0.7551, kb_relative_information_score: -47003.4291, mean_absolute_error: 0.4181, 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: 1.4926, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4282, root_relative_squared_error: 1.1441, scimark_benchmark: 1853.5297, usercpu_time_millis: 21.896, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 21.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.54, f_measure: 0.7551, kb_relative_information_score: -31781.6114, mean_absolute_error: 0.3609, 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: 1.2882, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3934, root_relative_squared_error: 1.0511, scimark_benchmark: 1718.2275, usercpu_time_millis: 42.768, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 42.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6388, f_measure: 0.7575, kappa: 0.0096, kb_relative_information_score: -2408.2398, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8185, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9768, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.9848, scimark_benchmark: 1733.8252, usercpu_time_millis: 102.089, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 102.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3473.6929, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9822, scimark_benchmark: 1730.591, usercpu_time_millis: 83.079, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 83.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6103, f_measure: 0.7554, kappa: 0.0011, kb_relative_information_score: -4150.2605, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7969, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.9898, scimark_benchmark: 1850.2875, usercpu_time_millis: 22.183, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 22.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6224, f_measure: 0.7559, kappa: 0.0032, kb_relative_information_score: -3513.1695, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8159, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9821, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.9872, scimark_benchmark: 1836.0792, usercpu_time_millis: 48.503, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 48.489,

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