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: 0.689, f_measure: 0.7591, kappa: 0.0163, kb_relative_information_score: -2485.192, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7915, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1837.7525, usercpu_time_millis: 506.937, usercpu_time_millis_testing: 15.051, usercpu_time_millis_training: 491.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.758, kappa: 0.0121, kb_relative_information_score: -2547.4627, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7861, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1842.4579, usercpu_time_millis: 501.527, usercpu_time_millis_testing: 9.973, usercpu_time_millis_training: 491.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6636, f_measure: 0.7585, kappa: 0.0142, kb_relative_information_score: -3087.3564, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7706, predictive_accuracy: 0.8313, prior_entropy: 0.6541, recall: 0.8313, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9759, scimark_benchmark: 1852.859, usercpu_time_millis: 1.089, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.7614, kappa: 0.0261, kb_relative_information_score: -2283.0693, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8073, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.962, scimark_benchmark: 1730.2561, usercpu_time_millis: 359.242, usercpu_time_millis_testing: 11.62, usercpu_time_millis_training: 347.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.7562, kappa: 0.0044, kb_relative_information_score: -2580.213, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7653, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9465, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9704, scimark_benchmark: 1784.574, usercpu_time_millis: 235.565, usercpu_time_millis_testing: 7.332, usercpu_time_millis_training: 228.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, f_measure: 0.7551, kb_relative_information_score: -2402.6379, mean_absolute_error: 0.2682, 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: 0.9573, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9711, scimark_benchmark: 1843.6074, usercpu_time_millis: 204.338, usercpu_time_millis_testing: 15.307, usercpu_time_millis_training: 189.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6938, f_measure: 0.7551, kb_relative_information_score: -1979.1643, mean_absolute_error: 0.2685, 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: 0.9585, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9695, scimark_benchmark: 1831.9204, usercpu_time_millis: 129.053, usercpu_time_millis_testing: 13.172, usercpu_time_millis_training: 115.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, f_measure: 0.7551, kb_relative_information_score: -2417.9787, mean_absolute_error: 0.2695, 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: 0.9621, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9735, scimark_benchmark: 1831.9204, usercpu_time_millis: 82.519, usercpu_time_millis_testing: 8.546, usercpu_time_millis_training: 73.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -0.9519, 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: 1836.692, usercpu_time_millis: 48.148, usercpu_time_millis_testing: 8.525, usercpu_time_millis_training: 39.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 2.2127, 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: 0.9998, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1731.9625, usercpu_time_millis: 33.873, usercpu_time_millis_testing: 5.885, usercpu_time_millis_training: 27.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.7755, kappa: 0.0867, kb_relative_information_score: -3173.3478, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7941, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1730.1903, usercpu_time_millis: 31.202, usercpu_time_millis_testing: 0.934, usercpu_time_millis_training: 30.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.7587, kappa: 0.0149, kb_relative_information_score: -1797.9794, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8256, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9653, scimark_benchmark: 1844.4297, usercpu_time_millis: 31.439, usercpu_time_millis_testing: 1.517, usercpu_time_millis_training: 29.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -7.7677, 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: 1844.9435, usercpu_time_millis: 26.714, usercpu_time_millis_testing: 3.817, usercpu_time_millis_training: 22.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -12.1415, 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: 1815.4207, usercpu_time_millis: 21.297, usercpu_time_millis_testing: 3.438, usercpu_time_millis_training: 17.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.7551, kb_relative_information_score: -3097.3373, mean_absolute_error: 0.2689, 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: 0.9599, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9754, scimark_benchmark: 1833.7788, usercpu_time_millis: 26.315, usercpu_time_millis_testing: 1.355, usercpu_time_millis_training: 24.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.7551, kb_relative_information_score: -2389.5523, mean_absolute_error: 0.2677, 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: 0.9555, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9705, scimark_benchmark: 1834.3604, usercpu_time_millis: 16.089, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 15.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6408, f_measure: 0.7551, kb_relative_information_score: -3461.3113, mean_absolute_error: 0.2726, 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: 0.9731, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9834, scimark_benchmark: 1837.7961, usercpu_time_millis: 13.172, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 12.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.7551, kb_relative_information_score: -2964.6343, mean_absolute_error: 0.2687, 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: 0.9592, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9742, scimark_benchmark: 1833.7788, usercpu_time_millis: 11.465, usercpu_time_millis_testing: 0.715, usercpu_time_millis_training: 10.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.7663, kappa: 0.0466, kb_relative_information_score: -2057.6737, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.803, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.959, scimark_benchmark: 1722.4872, usercpu_time_millis: 351.026, usercpu_time_millis_testing: 11.565, usercpu_time_millis_training: 339.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.662, f_measure: 0.7573, kappa: 0.009, kb_relative_information_score: -3244.0487, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8018, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9594, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.977, scimark_benchmark: 1728.0111, usercpu_time_millis: 221.693, usercpu_time_millis_testing: 9.882, usercpu_time_millis_training: 211.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6782, f_measure: 0.7586, kappa: 0.0143, kb_relative_information_score: -2519.1552, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7673, predictive_accuracy: 0.8311, prior_entropy: 0.6541, recall: 0.8311, relative_absolute_error: 0.9431, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9706, scimark_benchmark: 1842.8383, usercpu_time_millis: 185.528, usercpu_time_millis_testing: 3.408, usercpu_time_millis_training: 182.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.7551, kb_relative_information_score: -1952.1336, mean_absolute_error: 0.2713, 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: 0.9686, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.9764, scimark_benchmark: 1774.3496, usercpu_time_millis: 176.937, usercpu_time_millis_testing: 14.213, usercpu_time_millis_training: 162.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.7551, kb_relative_information_score: -2412.2504, mean_absolute_error: 0.2703, 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: 0.9648, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.975, scimark_benchmark: 1778.1184, usercpu_time_millis: 95.307, usercpu_time_millis_testing: 11.894, usercpu_time_millis_training: 83.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.7581, kappa: 0.0124, kb_relative_information_score: -1822.7684, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8297, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.953, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1843.5066, usercpu_time_millis: 81.254, usercpu_time_millis_testing: 5.838, usercpu_time_millis_training: 75.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -2337.1057, mean_absolute_error: 0.2666, 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: 0.9516, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9686, scimark_benchmark: 1950.4327, usercpu_time_millis: 83.688, usercpu_time_millis_testing: 3.977, usercpu_time_millis_training: 79.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6231, f_measure: 0.7551, kb_relative_information_score: -2259.8866, mean_absolute_error: 0.2758, 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: 0.9847, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9888, scimark_benchmark: 1788.8512, usercpu_time_millis: 47.276, usercpu_time_millis_testing: 4.285, usercpu_time_millis_training: 42.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.7569, kappa: 0.0075, kb_relative_information_score: -2465.7502, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7868, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9416, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9668, scimark_benchmark: 1793.205, usercpu_time_millis: 40.064, usercpu_time_millis_testing: 0.983, usercpu_time_millis_training: 39.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -25.9951, 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: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1845.5326, usercpu_time_millis: 27.989, usercpu_time_millis_testing: 1.962, usercpu_time_millis_training: 26.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -4.2127, 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: 1844.6378, usercpu_time_millis: 24.335, usercpu_time_millis_testing: 4.122, usercpu_time_millis_training: 20.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -14.6483, 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: 1957.4577, usercpu_time_millis: 27.027, usercpu_time_millis_testing: 4.637, usercpu_time_millis_training: 22.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.7661, kappa: 0.0459, kb_relative_information_score: -2284.4764, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7987, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9619, scimark_benchmark: 1782.385, usercpu_time_millis: 558.138, usercpu_time_millis_testing: 12.083, usercpu_time_millis_training: 546.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7601, kappa: 0.0204, kb_relative_information_score: -2591.0873, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7918, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9357, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.966, scimark_benchmark: 1789.8399, usercpu_time_millis: 419.238, usercpu_time_millis_testing: 6.574, usercpu_time_millis_training: 412.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.759, kappa: 0.016, kb_relative_information_score: -2406.0024, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8044, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9652, scimark_benchmark: 1727.2167, usercpu_time_millis: 367.702, usercpu_time_millis_testing: 12.159, usercpu_time_millis_training: 355.543,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.761, kappa: 0.0244, kb_relative_information_score: -2530.9228, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8042, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9423, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9664, scimark_benchmark: 1843.6421, usercpu_time_millis: 222.053, usercpu_time_millis_testing: 13.627, usercpu_time_millis_training: 208.426,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.7578, kappa: 0.011, kb_relative_information_score: -2470.6131, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7971, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9682, scimark_benchmark: 1885.8323, usercpu_time_millis: 109.836, usercpu_time_millis_testing: 3.67, usercpu_time_millis_training: 106.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.7551, kb_relative_information_score: -2367.0897, mean_absolute_error: 0.2713, 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: 0.9686, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9773, scimark_benchmark: 1854.0399, usercpu_time_millis: 94.012, usercpu_time_millis_testing: 7.561, usercpu_time_millis_training: 86.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6737, f_measure: 0.7551, kb_relative_information_score: -2944.8671, mean_absolute_error: 0.2687, 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: 0.9591, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9748, scimark_benchmark: 1927.0954, usercpu_time_millis: 61.727, usercpu_time_millis_testing: 3.006, usercpu_time_millis_training: 58.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -28.5762, 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: 1885.9779, usercpu_time_millis: 59.095, usercpu_time_millis_testing: 6.747, usercpu_time_millis_training: 52.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7551, kb_relative_information_score: -2345.0961, mean_absolute_error: 0.2664, 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: 0.9512, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9684, scimark_benchmark: 1853.6737, usercpu_time_millis: 39.8, usercpu_time_millis_testing: 2.054, usercpu_time_millis_training: 37.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, f_measure: 0.7551, kb_relative_information_score: -4025.8939, mean_absolute_error: 0.2725, 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: 0.9729, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.9852, scimark_benchmark: 1858.2223, usercpu_time_millis: 43.922, usercpu_time_millis_testing: 2.642, usercpu_time_millis_training: 41.28,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, f_measure: 0.7551, kb_relative_information_score: -1380.8026, mean_absolute_error: 0.2767, 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: 0.9879, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.9898, scimark_benchmark: 1857.5664, usercpu_time_millis: 26.609, usercpu_time_millis_testing: 3.416, usercpu_time_millis_training: 23.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6585, f_measure: 0.7551, kb_relative_information_score: -1589.6734, mean_absolute_error: 0.2757, 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: 0.9843, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9867, scimark_benchmark: 1772.7104, usercpu_time_millis: 4.915, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 4.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.7581, kappa: 0.0123, kb_relative_information_score: -2551.4469, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7825, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9667, scimark_benchmark: 787.8104, usercpu_time_millis: 1073.951, usercpu_time_millis_testing: 18.374, usercpu_time_millis_training: 1055.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.7684, kappa: 0.0556, kb_relative_information_score: -2574.5886, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7963, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9314, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9623, scimark_benchmark: 788.6416, usercpu_time_millis: 943.801, usercpu_time_millis_testing: 14.823, usercpu_time_millis_training: 928.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.758, kappa: 0.0118, kb_relative_information_score: -2450.8654, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7964, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9658, scimark_benchmark: 790.3999, usercpu_time_millis: 603.068, usercpu_time_millis_testing: 19.443, usercpu_time_millis_training: 583.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, f_measure: 0.7591, kappa: 0.0165, kb_relative_information_score: -2494.3742, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7981, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9666, scimark_benchmark: 1859.1356, usercpu_time_millis: 483.533, usercpu_time_millis_testing: 17.375, usercpu_time_millis_training: 466.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, f_measure: 0.7573, kappa: 0.0092, kb_relative_information_score: -2503.1378, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7802, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9425, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9693, scimark_benchmark: 1728.4111, usercpu_time_millis: 407.494, usercpu_time_millis_testing: 10.268, usercpu_time_millis_training: 397.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.756, kappa: 0.0036, kb_relative_information_score: -1822.6183, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8321, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.967, scimark_benchmark: 789.421, usercpu_time_millis: 363.472, usercpu_time_millis_testing: 20.478, usercpu_time_millis_training: 342.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.7556, kappa: 0.0021, kb_relative_information_score: -2405.4199, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7689, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, 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: 1849.4763, usercpu_time_millis: 347.405, usercpu_time_millis_testing: 14.198, usercpu_time_millis_training: 333.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, f_measure: 0.7551, kb_relative_information_score: -2359.6451, mean_absolute_error: 0.2669, 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: 0.9528, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9691, scimark_benchmark: 790.2522, usercpu_time_millis: 324.572, usercpu_time_millis_testing: 18.2, usercpu_time_millis_training: 306.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.7551, kb_relative_information_score: -2376.0317, mean_absolute_error: 0.2675, 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: 0.9551, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9702, scimark_benchmark: 787.9046, usercpu_time_millis: 307.852, usercpu_time_millis_testing: 19.861, usercpu_time_millis_training: 287.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6721, f_measure: 0.7551, kb_relative_information_score: -2950.8354, mean_absolute_error: 0.2683, 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: 0.9578, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9746, scimark_benchmark: 1855.4813, usercpu_time_millis: 143.442, usercpu_time_millis_testing: 7.584, usercpu_time_millis_training: 135.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.7551, kb_relative_information_score: -1918.1758, 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: 0.9714, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.9783, scimark_benchmark: 1850.2875, usercpu_time_millis: 116.094, usercpu_time_millis_testing: 9.742, usercpu_time_millis_training: 106.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -7.2424, 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: 1860.7926, usercpu_time_millis: 59.68, usercpu_time_millis_testing: 8.47, usercpu_time_millis_training: 51.21,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.758, kappa: 0.0119, kb_relative_information_score: -2547.9342, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7854, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9676, scimark_benchmark: 1847.3406, usercpu_time_millis: 544.422, usercpu_time_millis_testing: 13.96, usercpu_time_millis_training: 530.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.7611, kappa: 0.0249, kb_relative_information_score: -2420.6211, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7981, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9642, scimark_benchmark: 1845.7835, usercpu_time_millis: 461.904, usercpu_time_millis_testing: 8.244, usercpu_time_millis_training: 453.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.7669, kappa: 0.049, kb_relative_information_score: -2422.9492, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7993, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9623, scimark_benchmark: 1850.9652, usercpu_time_millis: 307.36, usercpu_time_millis_testing: 6.512, usercpu_time_millis_training: 300.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.76, kappa: 0.0203, kb_relative_information_score: -2396.0689, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7926, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9643, scimark_benchmark: 1857.1082, usercpu_time_millis: 408.025, usercpu_time_millis_testing: 10.243, usercpu_time_millis_training: 397.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.7551, kb_relative_information_score: -2564.786, mean_absolute_error: 0.2674, 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: 0.9547, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9708, scimark_benchmark: 1850.9652, usercpu_time_millis: 210.788, usercpu_time_millis_testing: 12.424, usercpu_time_millis_training: 198.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.7555, kappa: 0.0014, kb_relative_information_score: -2279.9111, mean_absolute_error: 0.265, 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: 0.9459, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9661, scimark_benchmark: 1853.9121, usercpu_time_millis: 166.405, usercpu_time_millis_testing: 9.48, usercpu_time_millis_training: 156.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.7723, kappa: 0.0724, kb_relative_information_score: -4164.143, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7943, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9491, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9655, scimark_benchmark: 1852.4008, usercpu_time_millis: 146.829, usercpu_time_millis_testing: 3.881, usercpu_time_millis_training: 142.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.7551, kb_relative_information_score: -3591.306, 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: 0.3683, root_relative_squared_error: 0.9842, scimark_benchmark: 1854.1098, usercpu_time_millis: 149.653, usercpu_time_millis_testing: 10.707, usercpu_time_millis_training: 138.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, f_measure: 0.7573, kappa: 0.009, kb_relative_information_score: -3190.8259, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8018, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9757, scimark_benchmark: 1857.1082, usercpu_time_millis: 271.132, usercpu_time_millis_testing: 8.76, usercpu_time_millis_training: 262.372,

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