Task
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: 1.0609, 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: 1247.1666, usercpu_time_millis: 1.333, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1239.0392, usercpu_time_millis: 1.238, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1249.8785, usercpu_time_millis: 1.376, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 1.0609, 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: 1243.2763, usercpu_time_millis: 1.424, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.7833, kappa: 0.1224, kb_relative_information_score: -990.1021, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.792, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.8921, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.9579, scimark_benchmark: 1263.9777, usercpu_time_millis: 341.32, usercpu_time_millis_testing: 3.432, usercpu_time_millis_training: 337.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6238, f_measure: 0.756, kappa: 0.0035, kb_relative_information_score: -3496.9402, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8181, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9869, scimark_benchmark: 1290.3565, usercpu_time_millis: 457.253, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 457.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.7578, kappa: 0.0109, kb_relative_information_score: -3293.5627, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8167, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9819, scimark_benchmark: 1286.1474, usercpu_time_millis: 559.816, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 559.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.7667, kappa: 0.048, kb_relative_information_score: -3217.346, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8253, predictive_accuracy: 0.8353, prior_entropy: 0.6541, recall: 0.8353, relative_absolute_error: 0.9729, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.958, scimark_benchmark: 1265.2069, usercpu_time_millis: 1449.135, usercpu_time_millis_testing: 31.246, usercpu_time_millis_training: 1417.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.7551, kb_relative_information_score: -23245.6418, mean_absolute_error: 0.3348, 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: 1.1952, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3819, root_relative_squared_error: 1.0204, scimark_benchmark: 1294.305, usercpu_time_millis: 90.729, usercpu_time_millis_testing: 1.189, usercpu_time_millis_training: 89.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3387.9487, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1271.0759, usercpu_time_millis: 53.249, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 53.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6383, f_measure: 0.7577, kappa: 0.0107, kb_relative_information_score: -3287.5318, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.816, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9716, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9832, scimark_benchmark: 1269.9479, usercpu_time_millis: 800.458, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 800.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6424, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3478.9231, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.818, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9668, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9821, scimark_benchmark: 1293.8208, usercpu_time_millis: 588.574, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 588.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6395, f_measure: 0.7577, kappa: 0.0107, kb_relative_information_score: -3258.0884, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.816, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9712, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.9829, scimark_benchmark: 1294.791, usercpu_time_millis: 294.86, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 294.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3390.7925, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1286.7309, usercpu_time_millis: 161.064, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 161.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.7844, kappa: 0.1302, kb_relative_information_score: -1539.2949, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7857, predictive_accuracy: 0.8311, prior_entropy: 0.6541, recall: 0.8311, relative_absolute_error: 0.8925, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9687, scimark_benchmark: 1293.2347, usercpu_time_millis: 4130.792, usercpu_time_millis_testing: 63.38, usercpu_time_millis_training: 4067.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6714, f_measure: 0.7551, kb_relative_information_score: -4325.565, mean_absolute_error: 0.2872, 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: 1.0254, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9881, scimark_benchmark: 1277.4054, usercpu_time_millis: 832.453, usercpu_time_millis_testing: 16.717, usercpu_time_millis_training: 815.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.7551, kb_relative_information_score: -37356.4473, mean_absolute_error: 0.3808, 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: 1.3595, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4015, root_relative_squared_error: 1.0728, scimark_benchmark: 1273.3961, usercpu_time_millis: 1058.393, usercpu_time_millis_testing: 11.161, usercpu_time_millis_training: 1047.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.7754, kappa: 0.0854, kb_relative_information_score: -1042.8087, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8044, predictive_accuracy: 0.8359, prior_entropy: 0.6541, recall: 0.8359, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.952, scimark_benchmark: 1290.5741, usercpu_time_millis: 643.37, usercpu_time_millis_testing: 12.782, usercpu_time_millis_training: 630.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6051, f_measure: 0.7552, kappa: 0.0005, kb_relative_information_score: -3738.8373, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.9908, scimark_benchmark: 1281.7135, usercpu_time_millis: 58.761, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 58.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5721, f_measure: 0.7551, kb_relative_information_score: -13830.7361, mean_absolute_error: 0.31, 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: 1.1068, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3757, root_relative_squared_error: 1.0039, scimark_benchmark: 1266.2084, usercpu_time_millis: 783.066, usercpu_time_millis_testing: 11.353, usercpu_time_millis_training: 771.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6448, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3498.4138, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.818, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9817, scimark_benchmark: 1293.7574, usercpu_time_millis: 187.712, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 187.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3372.3574, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1287.7023, usercpu_time_millis: 631.23, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 631.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7578, kappa: 0.011, kb_relative_information_score: -3039.989, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8186, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.982, scimark_benchmark: 1283.4971, usercpu_time_millis: 474.268, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 474.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3392.0788, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1284.4585, usercpu_time_millis: 175.636, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 175.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7578, kappa: 0.011, kb_relative_information_score: -3150.578, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8186, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9664, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9819, scimark_benchmark: 1256.8522, usercpu_time_millis: 293.073, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 293.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.7573, kappa: 0.0089, kb_relative_information_score: -3156.4134, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8185, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9836, scimark_benchmark: 1283.7331, usercpu_time_millis: 204.718, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 204.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3396.4171, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1270.3524, usercpu_time_millis: 501.879, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 501.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7578, kappa: 0.0112, kb_relative_information_score: -3157.9636, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8174, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.966, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9818, scimark_benchmark: 1267.5671, usercpu_time_millis: 345.641, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 345.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3427.5588, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1284.6432, usercpu_time_millis: 1036.463, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 1036.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3369.9174, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1268.6509, usercpu_time_millis: 911.823, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 911.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6438, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3425.2536, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.818, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9819, scimark_benchmark: 1293.6712, usercpu_time_millis: 800.741, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 800.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6306, f_measure: 0.7568, kappa: 0.0069, kb_relative_information_score: -3407.0745, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8183, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9763, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.9851, scimark_benchmark: 1256.2863, usercpu_time_millis: 690.487, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 690.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.703, f_measure: 0.7561, kappa: 0.004, kb_relative_information_score: -1760.2695, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7782, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.9609, scimark_benchmark: 1273.5045, usercpu_time_millis: 2530.148, usercpu_time_millis_testing: 46.666, usercpu_time_millis_training: 2483.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.7708, kappa: 0.0657, kb_relative_information_score: -1439.6919, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7965, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.957, scimark_benchmark: 1285.8819, usercpu_time_millis: 3855.212, usercpu_time_millis_testing: 60.262, usercpu_time_millis_training: 3794.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.757, kappa: 0.0078, kb_relative_information_score: -3377.2274, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8193, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9847, scimark_benchmark: 1260.3271, usercpu_time_millis: 555.026, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 554.933,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3393.6218, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1288.4495, usercpu_time_millis: 953.794, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 953.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.789, kappa: 0.158, kb_relative_information_score: 20.9371, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.783, predictive_accuracy: 0.8269, prior_entropy: 0.6541, recall: 0.8269, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.367, root_relative_squared_error: 0.9806, scimark_benchmark: 1265.4891, usercpu_time_millis: 11771.789, usercpu_time_millis_testing: 160.149, usercpu_time_millis_training: 11611.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, f_measure: 0.7783, kappa: 0.0978, kb_relative_information_score: -878.568, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8051, predictive_accuracy: 0.8366, prior_entropy: 0.6541, recall: 0.8366, relative_absolute_error: 0.9032, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.9515, scimark_benchmark: 1265.7141, usercpu_time_millis: 4176.602, usercpu_time_millis_testing: 64.014, usercpu_time_millis_training: 4112.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.7577, kappa: 0.0107, kb_relative_information_score: -3389.3853, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.816, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9682, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9823, scimark_benchmark: 1267.173, usercpu_time_millis: 273.564, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 273.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7891, kappa: 0.1506, kb_relative_information_score: -266.055, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7921, predictive_accuracy: 0.8333, prior_entropy: 0.6541, recall: 0.8333, relative_absolute_error: 0.8683, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9634, scimark_benchmark: 1291.3392, usercpu_time_millis: 4222.961, usercpu_time_millis_testing: 87.682, usercpu_time_millis_training: 4135.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6446, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3485.8804, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.818, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9817, scimark_benchmark: 1260.5259, usercpu_time_millis: 627.982, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 627.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3395.4462, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1263.2856, usercpu_time_millis: 372.47, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 372.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6635, f_measure: 0.7858, kappa: 0.1639, kb_relative_information_score: 2500.5816, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7734, predictive_accuracy: 0.8125, prior_entropy: 0.6541, recall: 0.8125, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3905, root_relative_squared_error: 1.0434, scimark_benchmark: 1283.4177, usercpu_time_millis: 6009.974, usercpu_time_millis_testing: 107.018, usercpu_time_millis_training: 5902.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.7551, kb_relative_information_score: -2524.7875, mean_absolute_error: 0.2691, 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: 0.9608, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9714, scimark_benchmark: 1288.0464, usercpu_time_millis: 811.157, usercpu_time_millis_testing: 9.885, usercpu_time_millis_training: 801.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7164, f_measure: 0.7738, kappa: 0.078, kb_relative_information_score: -803.0843, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8115, predictive_accuracy: 0.8364, prior_entropy: 0.6541, recall: 0.8364, relative_absolute_error: 0.9098, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.9497, scimark_benchmark: 1289.2114, usercpu_time_millis: 6583.912, usercpu_time_millis_testing: 157.922, usercpu_time_millis_training: 6425.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.7811, kappa: 0.1107, kb_relative_information_score: -877.6976, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7999, predictive_accuracy: 0.836, prior_entropy: 0.6541, recall: 0.836, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.9524, scimark_benchmark: 1281.3384, usercpu_time_millis: 1329.367, usercpu_time_millis_testing: 18.56, usercpu_time_millis_training: 1310.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, f_measure: 0.7574, kappa: 0.0096, kb_relative_information_score: -3255.9729, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8163, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9746, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9832, scimark_benchmark: 1273.3383, usercpu_time_millis: 215.945, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 215.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6036, f_measure: 0.7551, kb_relative_information_score: -9631.8916, mean_absolute_error: 0.3002, 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: 1.0718, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.374, root_relative_squared_error: 0.9995, scimark_benchmark: 1279.8529, usercpu_time_millis: 1445.559, usercpu_time_millis_testing: 16.223, usercpu_time_millis_training: 1429.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.7758, kappa: 0.0877, kb_relative_information_score: -1339.794, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7974, predictive_accuracy: 0.8349, prior_entropy: 0.6541, recall: 0.8349, relative_absolute_error: 0.9096, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.9571, scimark_benchmark: 1268.6541, usercpu_time_millis: 1130.884, usercpu_time_millis_testing: 17.264, usercpu_time_millis_training: 1113.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, f_measure: 0.7551, kb_relative_information_score: -2579.9449, 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: 0.9628, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9747, scimark_benchmark: 1262.1647, usercpu_time_millis: 1106.661, usercpu_time_millis_testing: 14.019, usercpu_time_millis_training: 1092.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.7551, kb_relative_information_score: -40191.2047, mean_absolute_error: 0.391, 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: 1.3957, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4079, root_relative_squared_error: 1.0899, scimark_benchmark: 1240.2227, usercpu_time_millis: 88.116, usercpu_time_millis_testing: 1.512, usercpu_time_millis_training: 86.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, f_measure: 0.7551, kb_relative_information_score: -56049.9199, mean_absolute_error: 0.4599, 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: 1.642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.462, root_relative_squared_error: 1.2345, scimark_benchmark: 1264.2045, usercpu_time_millis: 52.846, usercpu_time_millis_testing: 0.662, usercpu_time_millis_training: 52.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3298.0571, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.818, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9817, scimark_benchmark: 1285.9931, usercpu_time_millis: 1062.905, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 1062.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7035, f_measure: 0.7594, kappa: 0.0176, kb_relative_information_score: -1734.2337, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.799, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.359, root_relative_squared_error: 0.9592, scimark_benchmark: 1290.6407, usercpu_time_millis: 2770.082, usercpu_time_millis_testing: 48.612, usercpu_time_millis_training: 2721.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6346, f_measure: 0.7572, kappa: 0.0086, kb_relative_information_score: -3393.4976, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8129, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9755, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.9841, scimark_benchmark: 1260.9628, usercpu_time_millis: 414.145, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 414.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.7752, kappa: 0.0844, kb_relative_information_score: -1147.6281, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8043, predictive_accuracy: 0.8359, prior_entropy: 0.6541, recall: 0.8359, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.9526, scimark_benchmark: 1286.0547, usercpu_time_millis: 1271.122, usercpu_time_millis_testing: 23.934, usercpu_time_millis_training: 1247.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, f_measure: 0.7552, kappa: 0.0003, kb_relative_information_score: -2322.9905, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7589, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.9784, scimark_benchmark: 1291.5597, usercpu_time_millis: 1013.919, usercpu_time_millis_testing: 10.922, usercpu_time_millis_training: 1002.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3416.531, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1263.8451, usercpu_time_millis: 426.731, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 426.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7078, f_measure: 0.7683, kappa: 0.0546, kb_relative_information_score: -1539.3382, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.808, predictive_accuracy: 0.8348, prior_entropy: 0.6541, recall: 0.8348, relative_absolute_error: 0.9219, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.9561, scimark_benchmark: 1272.7424, usercpu_time_millis: 3949.227, usercpu_time_millis_testing: 60.984, usercpu_time_millis_training: 3888.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6424, f_measure: 0.7575, kappa: 0.0096, kb_relative_information_score: -2329.7926, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8185, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9728, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.984, scimark_benchmark: 1261.9169, usercpu_time_millis: 22.121, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 22.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.7752, kappa: 0.0842, kb_relative_information_score: -733.8973, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8071, predictive_accuracy: 0.8362, prior_entropy: 0.6541, recall: 0.8362, relative_absolute_error: 0.9026, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.9494, scimark_benchmark: 1262.5017, usercpu_time_millis: 3046.361, usercpu_time_millis_testing: 72.852, usercpu_time_millis_training: 2973.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3234.3923, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9652, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9817, scimark_benchmark: 1271.3006, usercpu_time_millis: 977.481, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 977.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6297, f_measure: 0.757, kappa: 0.0078, kb_relative_information_score: -2338.3094, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8193, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9808, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.987, scimark_benchmark: 1289.2758, usercpu_time_millis: 433.096, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 433.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6438, f_measure: 0.7578, kappa: 0.0108, kb_relative_information_score: -2576.7286, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.813, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.97, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.9829, scimark_benchmark: 1265.2828, usercpu_time_millis: 792.952, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 792.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3382.1788, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1285.2589, usercpu_time_millis: 578.323, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 578.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3498.7876, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.818, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9652, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9817, scimark_benchmark: 1269.0148, usercpu_time_millis: 84.595, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 84.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3371.4179, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1288.3346, usercpu_time_millis: 1107.714, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 1107.653,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs