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: 0.4999, f_measure: 0.7551, kb_relative_information_score: -7.964, 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: 1296.3146, usercpu_time_millis: 130.1, usercpu_time_millis_testing: 11.6, usercpu_time_millis_training: 118.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.7577, kappa: 0.0105, kb_relative_information_score: -2767.2039, mean_absolute_error: 0.2663, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7967, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9505, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9701, scimark_benchmark: 1311.7794, usercpu_time_millis: 92.11, usercpu_time_millis_testing: 5.11, usercpu_time_millis_training: 87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.7765, kappa: 0.0912, kb_relative_information_score: -3824.0025, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7923, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9679, scimark_benchmark: 1117.3507, usercpu_time_millis: 400.07, usercpu_time_millis_testing: 7.91, usercpu_time_millis_training: 392.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.7594, kappa: 0.0175, kb_relative_information_score: -2430.0878, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8032, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9664, scimark_benchmark: 893.9991, usercpu_time_millis: 849.04, usercpu_time_millis_testing: 36.82, usercpu_time_millis_training: 812.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.766, kappa: 0.0451, kb_relative_information_score: -2777.906, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7975, predictive_accuracy: 0.8335, prior_entropy: 0.6541, recall: 0.8335, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9635, scimark_benchmark: 824.2664, usercpu_time_millis: 648.14, usercpu_time_millis_testing: 18.1, usercpu_time_millis_training: 630.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7579, kappa: 0.0113, kb_relative_information_score: -2461.1666, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7991, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9681, scimark_benchmark: 1127.0553, usercpu_time_millis: 236.72, usercpu_time_millis_testing: 6.86, usercpu_time_millis_training: 229.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.7597, kappa: 0.0188, kb_relative_information_score: -2483.9341, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7948, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 903.0534, usercpu_time_millis: 451.19, usercpu_time_millis_testing: 9.34, usercpu_time_millis_training: 441.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.7716, kappa: 0.0692, kb_relative_information_score: -3733.8587, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7963, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9414, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9672, scimark_benchmark: 1142.2648, usercpu_time_millis: 63.23, usercpu_time_millis_testing: 1.36, usercpu_time_millis_training: 61.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6685, f_measure: 0.7555, kappa: 0.0015, kb_relative_information_score: -3142.5721, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7709, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9748, scimark_benchmark: 897.5767, usercpu_time_millis: 287.97, usercpu_time_millis_testing: 8.8, usercpu_time_millis_training: 279.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -7.2072, 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: 1053.6778, usercpu_time_millis: 48.06, usercpu_time_millis_testing: 4.59, usercpu_time_millis_training: 43.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6817, f_measure: 0.7554, kappa: 0.0012, kb_relative_information_score: -2601.8457, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.761, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.97, scimark_benchmark: 903.2033, usercpu_time_millis: 134.71, usercpu_time_millis_testing: 4.48, usercpu_time_millis_training: 130.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, f_measure: 0.7551, kb_relative_information_score: -2530.3201, mean_absolute_error: 0.2701, 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: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.9755, scimark_benchmark: 909.1211, usercpu_time_millis: 7.76, usercpu_time_millis_testing: 0.87, usercpu_time_millis_training: 6.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.7553, kappa: 0.0008, kb_relative_information_score: -3200.053, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7878, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9593, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9766, scimark_benchmark: 1826.608, usercpu_time_millis: 255.079, usercpu_time_millis_testing: 10.917, usercpu_time_millis_training: 244.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.77, kappa: 0.062, kb_relative_information_score: -3042.1126, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8015, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9631, scimark_benchmark: 782.8148, usercpu_time_millis: 58.13, usercpu_time_millis_testing: 1.803, usercpu_time_millis_training: 56.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6198, f_measure: 0.7551, kb_relative_information_score: -2295.121, 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: 0.3702, root_relative_squared_error: 0.9893, scimark_benchmark: 2010.4728, usercpu_time_millis: 65.126, usercpu_time_millis_testing: 5.679, usercpu_time_millis_training: 59.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -67.2613, 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: 1.0004, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1777.5886, usercpu_time_millis: 8.147, usercpu_time_millis_testing: 0.659, usercpu_time_millis_training: 7.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.7551, kb_relative_information_score: -1978.9917, mean_absolute_error: 0.2697, 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: 0.963, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.9729, scimark_benchmark: 1708.7437, usercpu_time_millis: 121.495, usercpu_time_millis_testing: 6.683, usercpu_time_millis_training: 114.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6392, f_measure: 0.7551, kb_relative_information_score: -3951.6522, 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: 0.9732, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.985, scimark_benchmark: 1830.7123, usercpu_time_millis: 44.485, usercpu_time_millis_testing: 1.824, usercpu_time_millis_training: 42.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.7775, kappa: 0.096, kb_relative_information_score: -4311.2239, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7903, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9731, scimark_benchmark: 1812.885, usercpu_time_millis: 145.18, usercpu_time_millis_testing: 2.354, usercpu_time_millis_training: 142.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6737, f_measure: 0.7551, kb_relative_information_score: -2309.9062, mean_absolute_error: 0.2718, 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: 0.9704, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.9784, scimark_benchmark: 1723.4486, usercpu_time_millis: 35.477, usercpu_time_millis_testing: 1.675, usercpu_time_millis_training: 33.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.7586, kappa: 0.0145, kb_relative_information_score: -2398.1972, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.815, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9661, scimark_benchmark: 1831.7266, usercpu_time_millis: 227.01, usercpu_time_millis_testing: 13.167, usercpu_time_millis_training: 213.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.7614, kappa: 0.0259, kb_relative_information_score: -2567.9768, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8026, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9649, scimark_benchmark: 1827.1394, usercpu_time_millis: 133.691, usercpu_time_millis_testing: 6.279, usercpu_time_millis_training: 127.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.7583, kappa: 0.013, kb_relative_information_score: -2638.3508, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7721, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1842.1882, usercpu_time_millis: 1130.445, usercpu_time_millis_testing: 19.838, usercpu_time_millis_training: 1110.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.7684, kappa: 0.0559, kb_relative_information_score: -2643.596, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7869, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9673, scimark_benchmark: 1834.2449, usercpu_time_millis: 9.065, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 8.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.7551, kb_relative_information_score: -2419.7608, mean_absolute_error: 0.2741, 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: 0.9784, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.984, scimark_benchmark: 1834.4023, usercpu_time_millis: 77.116, usercpu_time_millis_testing: 7.215, usercpu_time_millis_training: 69.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.7687, kappa: 0.0568, kb_relative_information_score: -2997.2379, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7974, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9634, scimark_benchmark: 1843.2259, usercpu_time_millis: 51.167, usercpu_time_millis_testing: 1.436, usercpu_time_millis_training: 49.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.762, kappa: 0.0286, kb_relative_information_score: -2344.653, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7979, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9306, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9628, scimark_benchmark: 1835.6541, usercpu_time_millis: 488.574, usercpu_time_millis_testing: 8.329, usercpu_time_millis_training: 480.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.7551, kb_relative_information_score: -1995.737, mean_absolute_error: 0.2686, 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: 0.9588, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9697, scimark_benchmark: 1839.7313, usercpu_time_millis: 127.368, usercpu_time_millis_testing: 14.716, usercpu_time_millis_training: 112.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.7551, kb_relative_information_score: -2380.8255, mean_absolute_error: 0.2708, 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: 0.9666, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9762, scimark_benchmark: 1812.9886, usercpu_time_millis: 178.039, usercpu_time_millis_testing: 15.292, usercpu_time_millis_training: 162.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.757, kappa: 0.0076, kb_relative_information_score: -2670.8229, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7915, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9698, scimark_benchmark: 1839.2203, usercpu_time_millis: 56.607, usercpu_time_millis_testing: 2.412, usercpu_time_millis_training: 54.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6699, f_measure: 0.7551, kb_relative_information_score: -3055.3066, mean_absolute_error: 0.2681, 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: 0.957, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.975, scimark_benchmark: 1832.1735, usercpu_time_millis: 151.338, usercpu_time_millis_testing: 5.215, usercpu_time_millis_training: 146.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.7623, kappa: 0.0296, kb_relative_information_score: -2280.5995, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8054, predictive_accuracy: 0.8333, prior_entropy: 0.6541, recall: 0.8333, relative_absolute_error: 0.9334, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.962, scimark_benchmark: 1737.0046, usercpu_time_millis: 391.95, usercpu_time_millis_testing: 14.02, usercpu_time_millis_training: 377.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.7611, kappa: 0.0247, kb_relative_information_score: -2258.7734, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8059, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9625, scimark_benchmark: 1779.4707, usercpu_time_millis: 332.419, usercpu_time_millis_testing: 10.788, usercpu_time_millis_training: 321.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.7551, kb_relative_information_score: -2364.0008, 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: 0.9548, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.97, scimark_benchmark: 1733.4112, usercpu_time_millis: 90.784, usercpu_time_millis_testing: 6.387, usercpu_time_millis_training: 84.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6531, f_measure: 0.7551, kb_relative_information_score: -1409.7259, 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: 0.9874, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.9894, scimark_benchmark: 1186.5655, usercpu_time_millis: 60.229, usercpu_time_millis_testing: 7.367, usercpu_time_millis_training: 52.862,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.7551, kb_relative_information_score: -1483.7619, 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: 0.9853, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9876, scimark_benchmark: 1859.6666, usercpu_time_millis: 16.382, usercpu_time_millis_testing: 1.138, usercpu_time_millis_training: 15.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.7551, kb_relative_information_score: -3982.7482, 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: 0.9715, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.9842, scimark_benchmark: 1859.1356, usercpu_time_millis: 8.136, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 7.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6817, f_measure: 0.7551, kb_relative_information_score: -2059.9693, mean_absolute_error: 0.2709, 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: 0.967, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9754, scimark_benchmark: 1830.7134, usercpu_time_millis: 3.886, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 3.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -31.5839, mean_absolute_error: 0.2799, 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: 0.9993, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1828.686, usercpu_time_millis: 1.104, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.7569, kappa: 0.0074, kb_relative_information_score: -1771.6871, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8235, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.953, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1852.859, usercpu_time_millis: 104.398, usercpu_time_millis_testing: 5.531, usercpu_time_millis_training: 98.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -2474.741, mean_absolute_error: 0.2661, 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: 0.95, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9691, scimark_benchmark: 1838.2986, usercpu_time_millis: 169.05, usercpu_time_millis_testing: 7.872, usercpu_time_millis_training: 161.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -23.5185, 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: 1840.1791, usercpu_time_millis: 59.508, usercpu_time_millis_testing: 6.299, usercpu_time_millis_training: 53.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6689, f_measure: 0.7576, kappa: 0.0101, kb_relative_information_score: -3150.2072, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8029, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9747, scimark_benchmark: 1835.6541, usercpu_time_millis: 121.01, usercpu_time_millis_testing: 7.541, usercpu_time_millis_training: 113.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.7551, kb_relative_information_score: -2400.4507, mean_absolute_error: 0.2679, 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: 0.9562, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9706, scimark_benchmark: 1831.6082, usercpu_time_millis: 101.45, usercpu_time_millis_testing: 5.531, usercpu_time_millis_training: 95.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.7551, kb_relative_information_score: -1643.3887, mean_absolute_error: 0.2753, 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: 0.9829, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.9858, scimark_benchmark: 1968.5084, usercpu_time_millis: 9.869, usercpu_time_millis_testing: 0.689, usercpu_time_millis_training: 9.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.7551, kb_relative_information_score: -2544.4961, mean_absolute_error: 0.2662, 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: 0.9503, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.9699, scimark_benchmark: 1843.7454, usercpu_time_millis: 12.554, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 12.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.7578, kappa: 0.0111, kb_relative_information_score: -2421.0682, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8077, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9415, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9666, scimark_benchmark: 1802.0385, usercpu_time_millis: 437.795, usercpu_time_millis_testing: 17.796, usercpu_time_millis_training: 419.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6564, f_measure: 0.7551, kb_relative_information_score: -1325.8102, mean_absolute_error: 0.2765, 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: 0.9869, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.989, scimark_benchmark: 1852.0126, usercpu_time_millis: 14.489, usercpu_time_millis_testing: 1.389, usercpu_time_millis_training: 13.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.7551, kb_relative_information_score: -2381.4335, mean_absolute_error: 0.267, 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: 0.9533, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9692, scimark_benchmark: 1838.6119, usercpu_time_millis: 116.82, usercpu_time_millis_testing: 6.648, usercpu_time_millis_training: 110.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, f_measure: 0.7554, kappa: 0.0011, kb_relative_information_score: -2725.7109, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7505, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9703, scimark_benchmark: 1842.7105, usercpu_time_millis: 33.128, usercpu_time_millis_testing: 1.241, usercpu_time_millis_training: 31.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.7551, kb_relative_information_score: -3717.2795, 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: 0.9727, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9838, scimark_benchmark: 1840.2451, usercpu_time_millis: 121.652, usercpu_time_millis_testing: 9.049, usercpu_time_millis_training: 112.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -3.9805, 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: 1838.7663, usercpu_time_millis: 27.253, usercpu_time_millis_testing: 4.626, usercpu_time_millis_training: 22.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -3037.365, 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: 0.9576, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9744, scimark_benchmark: 1844.7474, usercpu_time_millis: 7.464, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 7.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.764, kappa: 0.037, kb_relative_information_score: -2869.6933, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8008, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 0.942, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9633, scimark_benchmark: 1830.7616, usercpu_time_millis: 396.729, usercpu_time_millis_testing: 21.728, usercpu_time_millis_training: 375.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6531, f_measure: 0.7551, kb_relative_information_score: -1227.015, mean_absolute_error: 0.277, 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: 0.9887, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.9902, scimark_benchmark: 1835.7111, usercpu_time_millis: 19.807, usercpu_time_millis_testing: 1.055, usercpu_time_millis_training: 18.752,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.7688, kappa: 0.0574, kb_relative_information_score: -2832.3513, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7981, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9625, scimark_benchmark: 1844.3569, usercpu_time_millis: 360.581, usercpu_time_millis_testing: 8.609, usercpu_time_millis_training: 351.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6695, f_measure: 0.7573, kappa: 0.009, kb_relative_information_score: -3141.3619, mean_absolute_error: 0.2675, 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: 0.955, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9746, scimark_benchmark: 1846.8866, usercpu_time_millis: 289.061, usercpu_time_millis_testing: 12.131, usercpu_time_millis_training: 276.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -22.3559, 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: 1838.2372, usercpu_time_millis: 135.903, usercpu_time_millis_testing: 8.958, usercpu_time_millis_training: 126.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.7735, kappa: 0.0775, kb_relative_information_score: -3689.4535, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.797, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9652, scimark_benchmark: 1834.9666, usercpu_time_millis: 122.343, usercpu_time_millis_testing: 3.641, usercpu_time_millis_training: 118.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -10.6848, 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: 1837.8654, usercpu_time_millis: 62.211, usercpu_time_millis_testing: 5.826, usercpu_time_millis_training: 56.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.7578, kappa: 0.0111, kb_relative_information_score: -2531.1052, mean_absolute_error: 0.2648, 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: 0.9455, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9703, scimark_benchmark: 1845.7908, usercpu_time_millis: 60.792, usercpu_time_millis_testing: 1.289, usercpu_time_millis_training: 59.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.7572, kappa: 0.0086, kb_relative_information_score: -2230.2799, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7894, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.939, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9634, scimark_benchmark: 1848.9098, usercpu_time_millis: 13.872, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 13.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.7702, kappa: 0.0631, kb_relative_information_score: -2297.4252, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7974, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9625, scimark_benchmark: 1704.0341, usercpu_time_millis: 774.685, usercpu_time_millis_testing: 8.363, usercpu_time_millis_training: 766.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 0.8008, 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: 1851.4874, usercpu_time_millis: 43.773, usercpu_time_millis_testing: 7.721, usercpu_time_millis_training: 36.052,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.

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Leaderboard

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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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