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: 0.6696, f_measure: 0.7779, kappa: 0.0986, kb_relative_information_score: -4359.255, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7852, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9774, scimark_benchmark: 1854.9533, usercpu_time_millis: 18.273, usercpu_time_millis_testing: 0.532, usercpu_time_millis_training: 17.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6673, f_measure: 0.7551, kb_relative_information_score: -3138.8597, 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: 0.9593, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9761, scimark_benchmark: 1731.1379, usercpu_time_millis: 36.439, usercpu_time_millis_testing: 1.424, usercpu_time_millis_training: 35.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6848, f_measure: 0.7744, kappa: 0.0814, kb_relative_information_score: -3175.8212, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.795, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1766.2683, usercpu_time_millis: 158.902, usercpu_time_millis_testing: 2.541, usercpu_time_millis_training: 156.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.7602, kappa: 0.0209, kb_relative_information_score: -2461.494, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8103, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9418, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9664, scimark_benchmark: 2136.8497, usercpu_time_millis: 145.727, usercpu_time_millis_testing: 7.66, usercpu_time_millis_training: 138.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6977, f_measure: 0.7572, kappa: 0.0086, kb_relative_information_score: -1843.8612, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8247, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9546, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9667, scimark_benchmark: 1844.7474, usercpu_time_millis: 175.952, usercpu_time_millis_testing: 14.302, usercpu_time_millis_training: 161.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.7596, kappa: 0.0184, kb_relative_information_score: -2430.6214, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8005, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 2141.214, usercpu_time_millis: 175.338, usercpu_time_millis_testing: 5.704, usercpu_time_millis_training: 169.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -7.8922, 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: 1836.2325, usercpu_time_millis: 29.107, usercpu_time_millis_testing: 3.076, usercpu_time_millis_training: 26.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.7611, kappa: 0.0247, kb_relative_information_score: -2507.9089, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8009, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9371, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9656, scimark_benchmark: 1847.8629, usercpu_time_millis: 592.856, usercpu_time_millis_testing: 19.503, usercpu_time_millis_training: 573.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6883, f_measure: 0.7687, kappa: 0.057, kb_relative_information_score: -3134.4422, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7959, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1845.181, usercpu_time_millis: 64.237, usercpu_time_millis_testing: 1.468, usercpu_time_millis_training: 62.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7589, kappa: 0.0155, kb_relative_information_score: -2525.5567, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7833, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.966, scimark_benchmark: 1845.8368, usercpu_time_millis: 936.337, usercpu_time_millis_testing: 20.458, usercpu_time_millis_training: 915.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.7551, kb_relative_information_score: -1990.6968, mean_absolute_error: 0.27, 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: 0.9638, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9734, scimark_benchmark: 1843.903, usercpu_time_millis: 75.059, usercpu_time_millis_testing: 6.457, usercpu_time_millis_training: 68.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.7579, kappa: 0.0117, kb_relative_information_score: -2729.7114, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.782, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9475, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9708, scimark_benchmark: 1724.4096, usercpu_time_millis: 75.961, usercpu_time_millis_testing: 1.357, usercpu_time_millis_training: 74.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6502, f_measure: 0.7551, kb_relative_information_score: -1347.1469, mean_absolute_error: 0.2768, 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: 0.9882, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.99, scimark_benchmark: 1710.8676, usercpu_time_millis: 73.878, usercpu_time_millis_testing: 7.395, usercpu_time_millis_training: 66.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -4.0759, 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: 1842.7105, usercpu_time_millis: 46.865, usercpu_time_millis_testing: 8.153, usercpu_time_millis_training: 38.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.7708, kappa: 0.0656, kb_relative_information_score: -3740.6577, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7984, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1847.8629, usercpu_time_millis: 19.063, usercpu_time_millis_testing: 0.963, usercpu_time_millis_training: 18.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.7557, kappa: 0.0026, kb_relative_information_score: -2336.0738, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7928, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9455, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9661, scimark_benchmark: 1813.5458, usercpu_time_millis: 10.528, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 10.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.758, kappa: 0.0119, kb_relative_information_score: -2526.1501, mean_absolute_error: 0.2625, 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: 0.9372, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9671, scimark_benchmark: 1770.7512, usercpu_time_millis: 832.786, usercpu_time_millis_testing: 14.476, usercpu_time_millis_training: 818.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6329, f_measure: 0.7551, kb_relative_information_score: -2084.4691, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9849, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9885, scimark_benchmark: 1784.3508, usercpu_time_millis: 74.382, usercpu_time_millis_testing: 7.013, usercpu_time_millis_training: 67.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6208, f_measure: 0.7551, kb_relative_information_score: -2247.8086, 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: 0.9854, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.9892, scimark_benchmark: 1803.5777, usercpu_time_millis: 64.278, usercpu_time_millis_testing: 6.096, usercpu_time_millis_training: 58.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6345, f_measure: 0.7551, kb_relative_information_score: -2069.9503, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9885, scimark_benchmark: 2114.7014, usercpu_time_millis: 30.935, usercpu_time_millis_testing: 2.789, usercpu_time_millis_training: 28.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.7607, kappa: 0.0231, kb_relative_information_score: -2625.0942, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7774, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9312, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9672, scimark_benchmark: 1092.4578, usercpu_time_millis: 2382.821, usercpu_time_millis_testing: 29.146, usercpu_time_millis_training: 2353.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6615, f_measure: 0.7573, kappa: 0.009, kb_relative_information_score: -3257.4472, mean_absolute_error: 0.2688, 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: 0.9597, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9771, scimark_benchmark: 1777.5114, usercpu_time_millis: 80.549, usercpu_time_millis_testing: 3.318, usercpu_time_millis_training: 77.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.7551, kb_relative_information_score: -1734.0205, mean_absolute_error: 0.2745, 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: 0.9801, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9838, scimark_benchmark: 1725.4098, usercpu_time_millis: 79.042, usercpu_time_millis_testing: 4.839, usercpu_time_millis_training: 74.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.7551, kb_relative_information_score: -1880.5832, 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: 0.3665, root_relative_squared_error: 0.9792, scimark_benchmark: 1844.2676, usercpu_time_millis: 66.138, usercpu_time_millis_testing: 6.852, usercpu_time_millis_training: 59.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6352, f_measure: 0.7551, kb_relative_information_score: -2181.7541, 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: 0.9842, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9879, scimark_benchmark: 1704.4574, usercpu_time_millis: 9.723, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 9.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -13.1721, 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: 1798.6138, usercpu_time_millis: 44.02, usercpu_time_millis_testing: 7.494, usercpu_time_millis_training: 36.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.7602, kappa: 0.0209, kb_relative_information_score: -2476.6753, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7947, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9648, scimark_benchmark: 1726.5657, usercpu_time_millis: 1623.305, usercpu_time_millis_testing: 35.254, usercpu_time_millis_training: 1588.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.7599, kappa: 0.0199, kb_relative_information_score: -2515.2501, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7903, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.965, scimark_benchmark: 1841.5576, usercpu_time_millis: 324.51, usercpu_time_millis_testing: 4.208, usercpu_time_millis_training: 320.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6569, f_measure: 0.7551, kb_relative_information_score: -2979.8878, mean_absolute_error: 0.2732, 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: 0.9754, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9831, scimark_benchmark: 1836.1221, usercpu_time_millis: 145.262, usercpu_time_millis_testing: 10.319, usercpu_time_millis_training: 134.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6672, f_measure: 0.7551, kb_relative_information_score: -3076.5234, 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: 0.9702, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.98, scimark_benchmark: 1801.9468, usercpu_time_millis: 122.751, usercpu_time_millis_testing: 8.886, usercpu_time_millis_training: 113.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -1.7434, 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: 1790.1617, usercpu_time_millis: 43.007, usercpu_time_millis_testing: 7.415, usercpu_time_millis_training: 35.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.7551, kb_relative_information_score: -1851.942, mean_absolute_error: 0.2732, 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: 0.9753, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.367, root_relative_squared_error: 0.9807, scimark_benchmark: 1794.5341, usercpu_time_millis: 139.717, usercpu_time_millis_testing: 10.134, usercpu_time_millis_training: 129.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.7784, kappa: 0.1014, kb_relative_information_score: -4286.6497, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7837, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9371, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.9769, scimark_benchmark: 1847.8629, usercpu_time_millis: 76.894, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 76.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.7719, kappa: 0.0704, kb_relative_information_score: -2601.7625, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8013, predictive_accuracy: 0.8349, prior_entropy: 0.6541, recall: 0.8349, relative_absolute_error: 0.9254, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9625, scimark_benchmark: 1743.8575, usercpu_time_millis: 747.724, usercpu_time_millis_testing: 10.695, usercpu_time_millis_training: 737.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.685, f_measure: 0.7551, kb_relative_information_score: -2512.6605, 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: 0.9531, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9704, scimark_benchmark: 1988.8851, usercpu_time_millis: 124.765, usercpu_time_millis_testing: 5.534, usercpu_time_millis_training: 119.231,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, f_measure: 0.7603, kappa: 0.0213, kb_relative_information_score: -2537.4403, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8124, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9669, scimark_benchmark: 1853.9121, usercpu_time_millis: 111.119, usercpu_time_millis_testing: 5.824, usercpu_time_millis_training: 105.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, f_measure: 0.7551, kb_relative_information_score: -3084.0051, 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: 0.3668, root_relative_squared_error: 0.9801, scimark_benchmark: 1855.4813, usercpu_time_millis: 96.307, usercpu_time_millis_testing: 7.931, usercpu_time_millis_training: 88.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.7584, kappa: 0.0139, kb_relative_information_score: -2500.6714, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7651, predictive_accuracy: 0.831, prior_entropy: 0.6541, recall: 0.831, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9709, scimark_benchmark: 1793.5499, usercpu_time_millis: 80.323, usercpu_time_millis_testing: 1.237, usercpu_time_millis_training: 79.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -19.602, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1858.6076, usercpu_time_millis: 64.916, usercpu_time_millis_testing: 7.43, usercpu_time_millis_training: 57.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6646, f_measure: 0.7551, kb_relative_information_score: -2169.2638, mean_absolute_error: 0.2742, 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: 0.9787, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9836, scimark_benchmark: 1857.5664, usercpu_time_millis: 45.647, usercpu_time_millis_testing: 4.041, usercpu_time_millis_training: 41.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, f_measure: 0.7551, kb_relative_information_score: -2824.7728, mean_absolute_error: 0.2733, 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: 0.9757, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.9828, scimark_benchmark: 1853.9849, usercpu_time_millis: 33.945, usercpu_time_millis_testing: 3.689, usercpu_time_millis_training: 30.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.7616, kappa: 0.0267, kb_relative_information_score: -2741.2693, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8016, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9658, scimark_benchmark: 1853.454, usercpu_time_millis: 33.228, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 32.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6483, f_measure: 0.7551, kb_relative_information_score: -876.7414, mean_absolute_error: 0.2779, 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: 0.9922, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.993, scimark_benchmark: 1847.8034, usercpu_time_millis: 34.263, usercpu_time_millis_testing: 4.855, usercpu_time_millis_training: 29.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -8.2027, 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: 1846.2342, usercpu_time_millis: 21.441, usercpu_time_millis_testing: 3.665, usercpu_time_millis_training: 17.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6271, f_measure: 0.7551, kb_relative_information_score: -2212.3844, 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: 0.3701, root_relative_squared_error: 0.9889, scimark_benchmark: 1843.7819, usercpu_time_millis: 5.308, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 4.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.7551, kb_relative_information_score: -1896.9164, 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: 0.958, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.9699, scimark_benchmark: 1839.8776, usercpu_time_millis: 199.587, usercpu_time_millis_testing: 11.631, usercpu_time_millis_training: 187.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -2333.3897, 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: 0.9519, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9687, scimark_benchmark: 1839.2203, usercpu_time_millis: 148.595, usercpu_time_millis_testing: 10.752, usercpu_time_millis_training: 137.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -19.1593, 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: 1942.8065, usercpu_time_millis: 18.367, usercpu_time_millis_testing: 2.904, usercpu_time_millis_training: 15.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.756, kappa: 0.0038, kb_relative_information_score: -2174.7025, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7928, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9635, scimark_benchmark: 1844.6587, usercpu_time_millis: 512.149, usercpu_time_millis_testing: 19.945, usercpu_time_millis_training: 492.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.7572, kappa: 0.0084, kb_relative_information_score: -2450.3542, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7981, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1849.4321, usercpu_time_millis: 441.16, usercpu_time_millis_testing: 12.218, usercpu_time_millis_training: 428.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.7551, kb_relative_information_score: -2420.2816, 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: 0.9644, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9749, scimark_benchmark: 1089.0431, usercpu_time_millis: 302.249, usercpu_time_millis_testing: 18.696, usercpu_time_millis_training: 283.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6729, f_measure: 0.7551, kb_relative_information_score: -2943.1987, mean_absolute_error: 0.2688, 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: 0.9594, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.975, scimark_benchmark: 1840.7014, usercpu_time_millis: 229.816, usercpu_time_millis_testing: 9.43, usercpu_time_millis_training: 220.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.7599, kappa: 0.0197, kb_relative_information_score: -2473.0618, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7836, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9334, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9652, scimark_benchmark: 2147.8618, usercpu_time_millis: 145.831, usercpu_time_millis_testing: 2.008, usercpu_time_millis_training: 143.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.7551, kb_relative_information_score: -3173.0965, mean_absolute_error: 0.269, 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: 0.9604, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9768, scimark_benchmark: 2142.5881, usercpu_time_millis: 112.357, usercpu_time_millis_testing: 5.546, usercpu_time_millis_training: 106.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.7754, kappa: 0.0861, kb_relative_information_score: -3424.3401, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7957, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9321, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9674, scimark_benchmark: 1840.1791, usercpu_time_millis: 83.209, usercpu_time_millis_testing: 1.516, usercpu_time_millis_training: 81.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.757, kappa: 0.0076, kb_relative_information_score: -2461.3632, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7899, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9674, scimark_benchmark: 1852.0126, usercpu_time_millis: 71.559, usercpu_time_millis_testing: 1.602, usercpu_time_millis_training: 69.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6388, f_measure: 0.7551, kb_relative_information_score: -1946.6391, 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: 0.3699, root_relative_squared_error: 0.9884, scimark_benchmark: 1842.3188, usercpu_time_millis: 54.304, usercpu_time_millis_testing: 4.802, usercpu_time_millis_training: 49.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.7753, kappa: 0.0869, kb_relative_information_score: -4148.8471, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7843, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9736, scimark_benchmark: 1136.4143, usercpu_time_millis: 38.538, usercpu_time_millis_testing: 0.926, usercpu_time_millis_training: 37.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.7707, kappa: 0.0655, kb_relative_information_score: -3464.0985, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7991, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9636, scimark_benchmark: 1790.3959, usercpu_time_millis: 163.479, usercpu_time_millis_testing: 3.862, usercpu_time_millis_training: 159.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, f_measure: 0.7551, kb_relative_information_score: -3509.1924, mean_absolute_error: 0.2724, 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: 0.9724, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9826, scimark_benchmark: 1728.4678, usercpu_time_millis: 149.825, usercpu_time_millis_testing: 9.146, usercpu_time_millis_training: 140.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.7551, kb_relative_information_score: -2371.8979, mean_absolute_error: 0.2712, 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: 0.9682, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9771, scimark_benchmark: 1726.7091, usercpu_time_millis: 110.292, usercpu_time_millis_testing: 7.44, usercpu_time_millis_training: 102.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.7767, kappa: 0.0938, kb_relative_information_score: -4251.1136, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7825, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.975, scimark_benchmark: 1720.5036, usercpu_time_millis: 76.202, usercpu_time_millis_testing: 1.565, usercpu_time_millis_training: 74.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.7582, kappa: 0.0128, kb_relative_information_score: -1808.1149, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8248, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9525, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9656, scimark_benchmark: 1728.8162, usercpu_time_millis: 75.14, usercpu_time_millis_testing: 4.451, usercpu_time_millis_training: 70.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.7553, kappa: 0.0007, kb_relative_information_score: -2414.587, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7477, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9671, scimark_benchmark: 1802.2279, usercpu_time_millis: 64.792, usercpu_time_millis_testing: 1.517, usercpu_time_millis_training: 63.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.7551, kb_relative_information_score: -1976.0963, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9732, scimark_benchmark: 1723.9181, usercpu_time_millis: 59.498, usercpu_time_millis_testing: 4.675, usercpu_time_millis_training: 54.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, f_measure: 0.7551, kb_relative_information_score: -2099.1858, mean_absolute_error: 0.2755, 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: 0.9834, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.9873, scimark_benchmark: 1743.938, usercpu_time_millis: 23.632, usercpu_time_millis_testing: 1.594, usercpu_time_millis_training: 22.038,

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