OpenML
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 7295 Supervised Classification Click_prediction_small 39610 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6213, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2583.5034, 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: 0.9855, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.9895, scimark_benchmark: 1844.7928, total_cost: 672800, usercpu_time_millis: 10.977, usercpu_time_millis_testing: 0.684, usercpu_time_millis_training: 10.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6183, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2442.8563, 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: 0.3703, root_relative_squared_error: 0.9896, scimark_benchmark: 1828.2308, total_cost: 672800, usercpu_time_millis: 19.848, usercpu_time_millis_testing: 1.092, usercpu_time_millis_training: 18.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, average_cost: 16.6559, f_measure: 0.7593, kappa: 0.0172, kb_relative_information_score: -2655.8339, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.807, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9689, scimark_benchmark: 1848.8462, total_cost: 665370, usercpu_time_millis: 18.876, usercpu_time_millis_testing: 0.87, usercpu_time_millis_training: 18.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -3080.4935, 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: 0.9577, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.975, scimark_benchmark: 1846.1643, total_cost: 672800, usercpu_time_millis: 18.035, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 17.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, average_cost: 16.7092, f_measure: 0.758, kappa: 0.012, kb_relative_information_score: -2485.1581, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7913, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9425, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9682, scimark_benchmark: 1836.1651, total_cost: 667500, usercpu_time_millis: 23.814, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 23.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -39.6829, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1853.5818, total_cost: 672800, usercpu_time_millis: 3.622, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 3.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, average_cost: 15.204, f_measure: 0.7778, kappa: 0.1094, kb_relative_information_score: -5734.8291, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7668, predictive_accuracy: 0.8205, prior_entropy: 0.6541, recall: 0.8205, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3781, root_relative_squared_error: 1.0104, scimark_benchmark: 1832.1735, total_cost: 607370, usercpu_time_millis: 7.642, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 7.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, average_cost: 16.0611, f_measure: 0.7712, kappa: 0.0675, kb_relative_information_score: -2324.5448, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7963, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9628, scimark_benchmark: 1801.407, total_cost: 641610, usercpu_time_millis: 1083.564, usercpu_time_millis_testing: 12.041, usercpu_time_millis_training: 1071.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, average_cost: 16.1527, f_measure: 0.7695, kappa: 0.0601, kb_relative_information_score: -2300.5765, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.797, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9625, scimark_benchmark: 1853.454, total_cost: 645270, usercpu_time_millis: 1031.728, usercpu_time_millis_testing: 13.138, usercpu_time_millis_training: 1018.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, average_cost: 16.0744, f_measure: 0.771, kappa: 0.0665, kb_relative_information_score: -2331.8915, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7967, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9627, scimark_benchmark: 1853.3841, total_cost: 642140, usercpu_time_millis: 835.24, usercpu_time_millis_testing: 9.816, usercpu_time_millis_training: 825.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, average_cost: 16.6514, f_measure: 0.7592, kappa: 0.0168, kb_relative_information_score: -2447.782, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7847, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.965, scimark_benchmark: 1854.4431, total_cost: 665190, usercpu_time_millis: 782.81, usercpu_time_millis_testing: 19.846, usercpu_time_millis_training: 762.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, average_cost: 16.7125, f_measure: 0.7578, kappa: 0.0111, kb_relative_information_score: -2566.551, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.773, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1821.1102, total_cost: 667630, usercpu_time_millis: 774.462, usercpu_time_millis_testing: 20.724, usercpu_time_millis_training: 753.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, average_cost: 16.6817, f_measure: 0.7584, kappa: 0.0136, kb_relative_information_score: -2686.2274, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7723, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9678, scimark_benchmark: 1848.8462, total_cost: 666400, usercpu_time_millis: 703.73, usercpu_time_millis_testing: 12.205, usercpu_time_millis_training: 691.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, average_cost: 16.0126, f_measure: 0.7721, kappa: 0.0714, kb_relative_information_score: -2785.0896, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7963, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.964, scimark_benchmark: 1835.0815, total_cost: 639670, usercpu_time_millis: 571.392, usercpu_time_millis_testing: 6.141, usercpu_time_millis_training: 565.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, average_cost: 16.1895, f_measure: 0.7688, kappa: 0.0571, kb_relative_information_score: -2364.5832, mean_absolute_error: 0.2604, 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: 0.9298, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9628, scimark_benchmark: 1854.9533, total_cost: 646740, usercpu_time_millis: 607.646, usercpu_time_millis_testing: 8.858, usercpu_time_millis_training: 598.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, average_cost: 16.1668, f_measure: 0.7692, kappa: 0.059, kb_relative_information_score: -2341.7439, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7969, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9256, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9621, scimark_benchmark: 1853.0716, total_cost: 645830, usercpu_time_millis: 561.666, usercpu_time_millis_testing: 5.681, usercpu_time_millis_training: 555.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, average_cost: 16.0266, f_measure: 0.7719, kappa: 0.0706, kb_relative_information_score: -2393.3378, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7978, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9202, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9624, scimark_benchmark: 1823.3595, total_cost: 640230, usercpu_time_millis: 541.758, usercpu_time_millis_testing: 8.289, usercpu_time_millis_training: 533.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, average_cost: 16.155, f_measure: 0.7694, kappa: 0.06, kb_relative_information_score: -2254.279, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.797, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9264, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.962, scimark_benchmark: 1805.4436, total_cost: 645360, usercpu_time_millis: 541.564, usercpu_time_millis_testing: 8.32, usercpu_time_millis_training: 533.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, average_cost: 16.6209, f_measure: 0.7598, kappa: 0.0193, kb_relative_information_score: -2515.6159, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7817, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9658, scimark_benchmark: 1817.0487, total_cost: 663970, usercpu_time_millis: 495.427, usercpu_time_millis_testing: 8.833, usercpu_time_millis_training: 486.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, average_cost: 16.7045, f_measure: 0.7581, kappa: 0.0121, kb_relative_information_score: -2472.6903, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7834, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9686, scimark_benchmark: 1807.559, total_cost: 667310, usercpu_time_millis: 457.765, usercpu_time_millis_testing: 12.137, usercpu_time_millis_training: 445.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, average_cost: 16.7933, f_measure: 0.7562, kappa: 0.0044, kb_relative_information_score: -2466.8203, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7874, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.944, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9681, scimark_benchmark: 1818.4874, total_cost: 670860, usercpu_time_millis: 497.664, usercpu_time_millis_testing: 19.175, usercpu_time_millis_training: 478.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, average_cost: 16.6206, f_measure: 0.7599, kappa: 0.0199, kb_relative_information_score: -2575.1415, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7923, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9668, scimark_benchmark: 1855.4813, total_cost: 663960, usercpu_time_millis: 434.75, usercpu_time_millis_testing: 10.958, usercpu_time_millis_training: 423.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2480.0554, mean_absolute_error: 0.2654, 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: 0.9473, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9697, scimark_benchmark: 1855.4813, total_cost: 672800, usercpu_time_millis: 426.872, usercpu_time_millis_testing: 15.986, usercpu_time_millis_training: 410.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, average_cost: 16.6977, f_measure: 0.7582, kappa: 0.0127, kb_relative_information_score: -2595.6925, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7831, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9379, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9674, scimark_benchmark: 1817.5204, total_cost: 667040, usercpu_time_millis: 385.585, usercpu_time_millis_testing: 8.173, usercpu_time_millis_training: 377.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, average_cost: 16.7655, f_measure: 0.7569, kappa: 0.0071, kb_relative_information_score: -2243.2366, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8067, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9647, scimark_benchmark: 1821.4157, total_cost: 669750, usercpu_time_millis: 369.763, usercpu_time_millis_testing: 20.323, usercpu_time_millis_training: 349.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6635, average_cost: 16.7498, f_measure: 0.7572, kappa: 0.0085, kb_relative_information_score: -3224.8725, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7998, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9588, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9766, scimark_benchmark: 787.5702, total_cost: 669120, usercpu_time_millis: 379.716, usercpu_time_millis_testing: 16.511, usercpu_time_millis_training: 363.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, average_cost: 16.6859, f_measure: 0.7586, kappa: 0.0143, kb_relative_information_score: -2455.4021, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8005, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9423, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9673, scimark_benchmark: 1845.7835, total_cost: 666570, usercpu_time_millis: 363.286, usercpu_time_millis_testing: 17.697, usercpu_time_millis_training: 345.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, average_cost: 16.7042, f_measure: 0.7581, kappa: 0.0122, kb_relative_information_score: -2539.1175, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7843, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1843.2356, total_cost: 667300, usercpu_time_millis: 385.46, usercpu_time_millis_testing: 9.248, usercpu_time_millis_training: 376.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, average_cost: 16.5347, f_measure: 0.7619, kappa: 0.0279, kb_relative_information_score: -2513.1273, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8014, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9358, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9631, scimark_benchmark: 1853.9121, total_cost: 660530, usercpu_time_millis: 378.023, usercpu_time_millis_testing: 15.407, usercpu_time_millis_training: 362.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, average_cost: 16.5906, f_measure: 0.7607, kappa: 0.023, kb_relative_information_score: -2640.7554, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8034, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9685, scimark_benchmark: 1849.408, total_cost: 662760, usercpu_time_millis: 347.665, usercpu_time_millis_testing: 18.004, usercpu_time_millis_training: 329.661,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, average_cost: 16.8421, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -2466.719, mean_absolute_error: 0.266, 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: 0.9497, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9688, scimark_benchmark: 1774.7552, total_cost: 672810, usercpu_time_millis: 337.17, usercpu_time_millis_testing: 18.265, usercpu_time_millis_training: 318.905,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2843.9777, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9588, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9742, scimark_benchmark: 1856.5802, total_cost: 672800, usercpu_time_millis: 78.634, usercpu_time_millis_testing: 3.244, usercpu_time_millis_training: 75.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, average_cost: 16.4091, f_measure: 0.7645, kappa: 0.0388, kb_relative_information_score: -2258.9598, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7994, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9616, scimark_benchmark: 1852.9259, total_cost: 655510, usercpu_time_millis: 104.726, usercpu_time_millis_testing: 1.991, usercpu_time_millis_training: 102.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -3886.141, 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: 0.9725, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.9841, scimark_benchmark: 1827.287, total_cost: 672800, usercpu_time_millis: 25.206, usercpu_time_millis_testing: 1.012, usercpu_time_millis_training: 24.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1953.5154, mean_absolute_error: 0.2717, 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: 0.9698, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9771, scimark_benchmark: 1822.3184, total_cost: 672800, usercpu_time_millis: 88.152, usercpu_time_millis_testing: 6.513, usercpu_time_millis_training: 81.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2798.8598, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9564, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.364, root_relative_squared_error: 0.9726, scimark_benchmark: 1840.6297, total_cost: 672800, usercpu_time_millis: 79.27, usercpu_time_millis_testing: 4.907, usercpu_time_millis_training: 74.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6737, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2866.7455, 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: 0.9643, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.9764, scimark_benchmark: 1856.3583, total_cost: 672800, usercpu_time_millis: 97.455, usercpu_time_millis_testing: 8.777, usercpu_time_millis_training: 88.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6801, average_cost: 15.7785, f_measure: 0.7758, kappa: 0.0883, kb_relative_information_score: -4368.0185, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7917, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9456, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9705, scimark_benchmark: 1851.4874, total_cost: 630320, usercpu_time_millis: 60.136, usercpu_time_millis_testing: 1.733, usercpu_time_millis_training: 58.403,

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