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: 0.6944, f_measure: 0.7604, kappa: 0.0217, kb_relative_information_score: -2384.7273, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.792, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9321, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9636, scimark_benchmark: 1296.8829, usercpu_time_millis: 4459.799, usercpu_time_millis_testing: 84.552, usercpu_time_millis_training: 4375.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.7551, kb_relative_information_score: -1939.429, 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: 0.9598, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.971, scimark_benchmark: 1296.9447, usercpu_time_millis: 1067.96, usercpu_time_millis_testing: 65.432, usercpu_time_millis_training: 1002.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, f_measure: 0.7595, kappa: 0.018, kb_relative_information_score: -2427.0108, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7951, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9411, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9683, scimark_benchmark: 1281.8499, usercpu_time_millis: 1141.445, usercpu_time_millis_testing: 33.818, usercpu_time_millis_training: 1107.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.7551, kb_relative_information_score: -1839.1885, mean_absolute_error: 0.2678, 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: 0.3626, root_relative_squared_error: 0.9688, scimark_benchmark: 1299.6176, usercpu_time_millis: 1566.071, usercpu_time_millis_testing: 81.734, usercpu_time_millis_training: 1484.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6937, f_measure: 0.7615, kappa: 0.0264, kb_relative_information_score: -2344.9692, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7989, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9301, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9634, scimark_benchmark: 1273.4469, usercpu_time_millis: 3255.432, usercpu_time_millis_testing: 41.542, usercpu_time_millis_training: 3213.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.7693, kappa: 0.0592, kb_relative_information_score: -2544.1333, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8004, 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: 0.3597, root_relative_squared_error: 0.9612, scimark_benchmark: 1296.1509, usercpu_time_millis: 3983.966, usercpu_time_millis_testing: 85.785, usercpu_time_millis_training: 3898.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5979, f_measure: 0.7577, kappa: 0.0105, kb_relative_information_score: 128.6772, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8152, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.993, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.996, scimark_benchmark: 1273.6432, usercpu_time_millis: 2726.265, usercpu_time_millis_testing: 11.801, usercpu_time_millis_training: 2714.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6938, f_measure: 0.7691, kappa: 0.0587, kb_relative_information_score: -2406.8389, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7972, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.928, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9619, scimark_benchmark: 1285.5785, usercpu_time_millis: 3670.176, usercpu_time_millis_testing: 47.923, usercpu_time_millis_training: 3622.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.7581, kappa: 0.0123, kb_relative_information_score: -1751.8534, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8256, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9521, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1266.2605, usercpu_time_millis: 616.471, usercpu_time_millis_testing: 38.33, usercpu_time_millis_training: 578.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.7561, kappa: 0.004, kb_relative_information_score: -2554.0781, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7805, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9693, scimark_benchmark: 1294.752, usercpu_time_millis: 719.652, usercpu_time_millis_testing: 33.455, usercpu_time_millis_training: 686.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6842, f_measure: 0.7551, kb_relative_information_score: -2549.7215, 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: 0.9549, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9711, scimark_benchmark: 1295.2449, usercpu_time_millis: 985.917, usercpu_time_millis_testing: 57.771, usercpu_time_millis_training: 928.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7609, kappa: 0.0239, kb_relative_information_score: -2446.5091, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8098, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.94, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9645, scimark_benchmark: 1275.2957, usercpu_time_millis: 1782.481, usercpu_time_millis_testing: 74.172, usercpu_time_millis_training: 1708.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.7616, kappa: 0.0267, kb_relative_information_score: -2384.9901, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.797, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9638, scimark_benchmark: 1296.5602, usercpu_time_millis: 10257.107, usercpu_time_millis_testing: 111.51, usercpu_time_millis_training: 10145.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, f_measure: 0.7586, kappa: 0.0142, kb_relative_information_score: -2586.0152, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7818, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9389, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9679, scimark_benchmark: 1277.9754, usercpu_time_millis: 1244.98, usercpu_time_millis_testing: 27.272, usercpu_time_millis_training: 1217.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5947, f_measure: 0.757, kappa: 0.0079, kb_relative_information_score: 115.6394, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.81, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9967, scimark_benchmark: 1271.2924, usercpu_time_millis: 3020.154, usercpu_time_millis_testing: 11.56, usercpu_time_millis_training: 3008.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.7622, kappa: 0.0292, kb_relative_information_score: -2322.4178, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8035, predictive_accuracy: 0.8332, prior_entropy: 0.6541, recall: 0.8332, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9624, scimark_benchmark: 1281.8466, usercpu_time_millis: 3782.61, usercpu_time_millis_testing: 95.078, usercpu_time_millis_training: 3687.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.7595, kappa: 0.018, kb_relative_information_score: -2419.1916, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7951, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9425, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9687, scimark_benchmark: 1282.3786, usercpu_time_millis: 342.618, usercpu_time_millis_testing: 12.185, usercpu_time_millis_training: 330.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.7551, kappa: -0.0002, kb_relative_information_score: -2305.3385, mean_absolute_error: 0.2657, 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: 0.9487, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9674, scimark_benchmark: 1291.8559, usercpu_time_millis: 759.281, usercpu_time_millis_testing: 37.994, usercpu_time_millis_training: 721.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.7593, kappa: 0.0172, kb_relative_information_score: -2599.6852, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7779, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1289.6549, usercpu_time_millis: 4173.05, usercpu_time_millis_testing: 62.092, usercpu_time_millis_training: 4110.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.544, f_measure: 0.7558, kappa: 0.0028, kb_relative_information_score: 89.5493, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8265, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9991, scimark_benchmark: 1278.9774, usercpu_time_millis: 1957.259, usercpu_time_millis_testing: 12.259, usercpu_time_millis_training: 1945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.7762, kappa: 0.0897, kb_relative_information_score: -3529.8229, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7935, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9668, scimark_benchmark: 1273.6728, usercpu_time_millis: 1619.312, usercpu_time_millis_testing: 30.993, usercpu_time_millis_training: 1588.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.7677, kappa: 0.0526, kb_relative_information_score: -2826.9327, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7969, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.935, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9635, scimark_benchmark: 1268.6323, usercpu_time_millis: 415.868, usercpu_time_millis_testing: 9.604, usercpu_time_millis_training: 406.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.7582, kappa: 0.0128, kb_relative_information_score: -2571.5619, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.776, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9669, scimark_benchmark: 1297.1356, usercpu_time_millis: 1023.582, usercpu_time_millis_testing: 13.419, usercpu_time_millis_training: 1010.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.7719, kappa: 0.0706, kb_relative_information_score: -3680.7983, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7974, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9628, scimark_benchmark: 1273.1644, usercpu_time_millis: 1367.002, usercpu_time_millis_testing: 53.124, usercpu_time_millis_training: 1313.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.767, kappa: 0.0497, kb_relative_information_score: -2272.2564, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7989, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9291, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.96, scimark_benchmark: 1295.204, usercpu_time_millis: 3145.497, usercpu_time_millis_testing: 92.273, usercpu_time_millis_training: 3053.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5512, f_measure: 0.7594, kappa: 0.0176, kb_relative_information_score: -932.1091, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8051, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.372, root_relative_squared_error: 0.994, scimark_benchmark: 1268.8543, usercpu_time_millis: 3910.664, usercpu_time_millis_testing: 25.065, usercpu_time_millis_training: 3885.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7617, kappa: 0.0272, kb_relative_information_score: -2718.0818, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7986, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9371, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.965, scimark_benchmark: 1297.9505, usercpu_time_millis: 2592.505, usercpu_time_millis_testing: 54.901, usercpu_time_millis_training: 2537.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.7551, kb_relative_information_score: -1883.983, 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: 1293.3781, usercpu_time_millis: 543.33, usercpu_time_millis_testing: 46.499, usercpu_time_millis_training: 496.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.7592, kappa: 0.0167, kb_relative_information_score: -2500.5382, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8097, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9673, scimark_benchmark: 1274.1468, usercpu_time_millis: 1014.605, usercpu_time_millis_testing: 50.689, usercpu_time_millis_training: 963.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.7605, kappa: 0.0224, kb_relative_information_score: -2741.0758, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7696, predictive_accuracy: 0.831, prior_entropy: 0.6541, recall: 0.831, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9683, scimark_benchmark: 1280.1047, usercpu_time_millis: 4809.493, usercpu_time_millis_testing: 55.298, usercpu_time_millis_training: 4754.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.7678, kappa: 0.053, kb_relative_information_score: -2383.149, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.795, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.93, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9623, scimark_benchmark: 1258.9673, usercpu_time_millis: 4028.826, usercpu_time_millis_testing: 61.064, usercpu_time_millis_training: 3967.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5616, f_measure: 0.7579, kappa: 0.0116, kb_relative_information_score: -663.5376, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7876, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.9958, scimark_benchmark: 1306.402, usercpu_time_millis: 9384.45, usercpu_time_millis_testing: 45.142, usercpu_time_millis_training: 9339.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.7686, kappa: 0.0564, kb_relative_information_score: -3081.3524, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7982, 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: 0.3602, root_relative_squared_error: 0.9624, scimark_benchmark: 1280.1656, usercpu_time_millis: 1873.783, usercpu_time_millis_testing: 57.505, usercpu_time_millis_training: 1816.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.7672, kappa: 0.0505, kb_relative_information_score: -2209.3039, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7991, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9273, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9613, scimark_benchmark: 1274.7206, usercpu_time_millis: 2394.701, usercpu_time_millis_testing: 38.051, usercpu_time_millis_training: 2356.65,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5476, f_measure: 0.7558, kappa: 0.0028, kb_relative_information_score: 88.565, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8265, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9991, scimark_benchmark: 1299.9, usercpu_time_millis: 2578.485, usercpu_time_millis_testing: 12.364, usercpu_time_millis_training: 2566.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.77, kappa: 0.0629, kb_relative_information_score: -2481.0711, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7886, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1253.5514, usercpu_time_millis: 8352.562, usercpu_time_millis_testing: 74.11, usercpu_time_millis_training: 8278.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.7551, kb_relative_information_score: -2367.7356, mean_absolute_error: 0.2672, 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: 0.9539, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9696, scimark_benchmark: 1229.1316, usercpu_time_millis: 148.34, usercpu_time_millis_testing: 7.722, usercpu_time_millis_training: 140.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.7589, kappa: 0.0155, kb_relative_information_score: -2494.9114, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7942, 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: 0.3615, root_relative_squared_error: 0.966, scimark_benchmark: 1219.9342, usercpu_time_millis: 3562.598, usercpu_time_millis_testing: 91.505, usercpu_time_millis_training: 3471.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6851, f_measure: 0.758, kappa: 0.0119, kb_relative_information_score: -2476.2556, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7863, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9398, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9682, scimark_benchmark: 1241.1586, usercpu_time_millis: 2467.682, usercpu_time_millis_testing: 52.4, usercpu_time_millis_training: 2415.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, f_measure: 0.7579, kappa: 0.0113, kb_relative_information_score: -2462.5169, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7949, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9411, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9677, scimark_benchmark: 1229.1026, usercpu_time_millis: 1197.576, usercpu_time_millis_testing: 30.061, usercpu_time_millis_training: 1167.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.7723, kappa: 0.0723, kb_relative_information_score: -3026.676, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7974, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.93, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9648, scimark_benchmark: 1179.956, usercpu_time_millis: 1935.419, usercpu_time_millis_testing: 22.291, usercpu_time_millis_training: 1913.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.594, f_measure: 0.7572, kappa: 0.0086, kb_relative_information_score: 166.1335, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8152, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.9973, scimark_benchmark: 1302.8881, usercpu_time_millis: 8993.543, usercpu_time_millis_testing: 27.127, usercpu_time_millis_training: 8966.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.7624, kappa: 0.0303, kb_relative_information_score: -2150.6518, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8044, predictive_accuracy: 0.8333, prior_entropy: 0.6541, recall: 0.8333, relative_absolute_error: 0.9305, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9613, scimark_benchmark: 1242.3913, usercpu_time_millis: 3060.252, usercpu_time_millis_testing: 68.698, usercpu_time_millis_training: 2991.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5653, f_measure: 0.7574, kappa: 0.0096, kb_relative_information_score: -702.6434, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7801, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.996, scimark_benchmark: 1304.7976, usercpu_time_millis: 14597.249, usercpu_time_millis_testing: 48.553, usercpu_time_millis_training: 14548.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5939, f_measure: 0.7573, kappa: 0.0091, kb_relative_information_score: 131.9506, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8147, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9965, scimark_benchmark: 1295.5187, usercpu_time_millis: 6870.754, usercpu_time_millis_testing: 25.612, usercpu_time_millis_training: 6845.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5948, f_measure: 0.7582, kappa: 0.0126, kb_relative_information_score: 131.0887, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8176, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.9957, scimark_benchmark: 1306.2562, usercpu_time_millis: 1719.732, usercpu_time_millis_testing: 10.798, usercpu_time_millis_training: 1708.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.7663, kappa: 0.0465, kb_relative_information_score: -2370.9723, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8031, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9315, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9617, scimark_benchmark: 1239.413, usercpu_time_millis: 1039.977, usercpu_time_millis_testing: 25.753, usercpu_time_millis_training: 1014.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.7673, kappa: 0.0505, kb_relative_information_score: -1921.643, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8031, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.9586, scimark_benchmark: 1222.3287, usercpu_time_millis: 825.386, usercpu_time_millis_testing: 20.88, usercpu_time_millis_training: 804.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5984, f_measure: 0.7577, kappa: 0.0105, kb_relative_information_score: 111.4995, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8172, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9962, scimark_benchmark: 1286.7316, usercpu_time_millis: 3064.121, usercpu_time_millis_testing: 11.265, usercpu_time_millis_training: 3052.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7551, kb_relative_information_score: -1987.097, mean_absolute_error: 0.2694, 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: 0.9617, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.972, scimark_benchmark: 1258.6357, usercpu_time_millis: 1037.386, usercpu_time_millis_testing: 69.424, usercpu_time_millis_training: 967.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, f_measure: 0.7551, kb_relative_information_score: -1932.4812, mean_absolute_error: 0.2723, 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: 0.972, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.9787, scimark_benchmark: 1255.1605, usercpu_time_millis: 102.403, usercpu_time_millis_testing: 7.15, usercpu_time_millis_training: 95.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.7764, kappa: 0.0908, kb_relative_information_score: -3579.5018, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7922, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9681, scimark_benchmark: 1256.315, usercpu_time_millis: 3650.103, usercpu_time_millis_testing: 35.47, usercpu_time_millis_training: 3614.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5918, f_measure: 0.7575, kappa: 0.0098, kb_relative_information_score: 140.1194, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.815, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9961, scimark_benchmark: 1299.1163, usercpu_time_millis: 6254.618, usercpu_time_millis_testing: 26.469, usercpu_time_millis_training: 6228.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.7719, kappa: 0.0705, kb_relative_information_score: -2767.0282, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8002, predictive_accuracy: 0.8348, prior_entropy: 0.6541, recall: 0.8348, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9628, scimark_benchmark: 1263.43, usercpu_time_millis: 4735.82, usercpu_time_millis_testing: 68.71, usercpu_time_millis_training: 4667.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.7551, kb_relative_information_score: -1804.4458, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.976, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.9811, scimark_benchmark: 1233.1036, usercpu_time_millis: 371.74, usercpu_time_millis_testing: 33.539, usercpu_time_millis_training: 338.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.7551, kb_relative_information_score: -1960.322, mean_absolute_error: 0.2696, 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: 0.9626, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.9728, scimark_benchmark: 1258.2143, usercpu_time_millis: 908.657, usercpu_time_millis_testing: 58.048, usercpu_time_millis_training: 850.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.665, f_measure: 0.7775, kappa: 0.104, kb_relative_information_score: -4539.5015, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7694, predictive_accuracy: 0.8239, prior_entropy: 0.6541, recall: 0.8239, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9885, scimark_benchmark: 1245.2374, usercpu_time_millis: 875.716, usercpu_time_millis_testing: 14.734, usercpu_time_millis_training: 860.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.7616, kappa: 0.027, kb_relative_information_score: -2645.0482, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7966, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9653, scimark_benchmark: 1253.8285, usercpu_time_millis: 127.515, usercpu_time_millis_testing: 2.679, usercpu_time_millis_training: 124.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, f_measure: 0.7575, kappa: 0.0097, kb_relative_information_score: -1753.323, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8208, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.966, scimark_benchmark: 1244.9335, usercpu_time_millis: 515.896, usercpu_time_millis_testing: 30.507, usercpu_time_millis_training: 485.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.7585, kappa: 0.0138, kb_relative_information_score: -2553.112, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.79, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1208.3747, usercpu_time_millis: 128.088, usercpu_time_millis_testing: 2.759, usercpu_time_millis_training: 125.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.7583, kappa: 0.0133, kb_relative_information_score: -2433.734, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8018, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9666, scimark_benchmark: 1257.3394, usercpu_time_millis: 882.138, usercpu_time_millis_testing: 34.885, usercpu_time_millis_training: 847.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.7609, kappa: 0.0239, kb_relative_information_score: -2596.1714, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7835, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9307, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9658, scimark_benchmark: 1242.4483, usercpu_time_millis: 1920.469, usercpu_time_millis_testing: 20.855, usercpu_time_millis_training: 1899.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.7551, kb_relative_information_score: -1931.1748, mean_absolute_error: 0.2716, 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: 0.9697, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9771, scimark_benchmark: 1239.1788, usercpu_time_millis: 673.321, usercpu_time_millis_testing: 46.532, usercpu_time_millis_training: 626.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.7581, kappa: 0.0124, kb_relative_information_score: -1857.3616, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8276, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9518, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9666, scimark_benchmark: 1241.6572, usercpu_time_millis: 139.367, usercpu_time_millis_testing: 7.43, usercpu_time_millis_training: 131.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.7724, kappa: 0.0729, kb_relative_information_score: -2823.3419, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7975, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9633, scimark_benchmark: 1266.4609, usercpu_time_millis: 2081.386, usercpu_time_millis_testing: 20.863, usercpu_time_millis_training: 2060.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5165, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: 15.1568, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9999, scimark_benchmark: 1289.0118, usercpu_time_millis: 9658.283, usercpu_time_millis_testing: 11.886, usercpu_time_millis_training: 9646.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.7569, kappa: 0.0074, kb_relative_information_score: -1928.0207, mean_absolute_error: 0.2677, 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: 0.9555, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9669, scimark_benchmark: 1241.1741, usercpu_time_millis: 934.349, usercpu_time_millis_testing: 65.204, usercpu_time_millis_training: 869.145,

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