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: 0.6947, f_measure: 0.7609, kappa: 0.0241, kb_relative_information_score: -2331.1754, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7984, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9318, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9633, scimark_benchmark: 1233.4271, usercpu_time_millis: 3661.951, usercpu_time_millis_testing: 70.365, usercpu_time_millis_training: 3591.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.7709, kappa: 0.0661, kb_relative_information_score: -2587.058, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7995, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.9603, scimark_benchmark: 1264.6545, usercpu_time_millis: 738.817, usercpu_time_millis_testing: 30.828, usercpu_time_millis_training: 707.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.7552, kappa: 0.0004, kb_relative_information_score: -2292.2847, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7758, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9666, scimark_benchmark: 1252.2354, usercpu_time_millis: 1601.93, usercpu_time_millis_testing: 66.659, usercpu_time_millis_training: 1535.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.7581, kappa: 0.0123, kb_relative_information_score: -2526.6462, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7833, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9392, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9677, scimark_benchmark: 1256.1575, usercpu_time_millis: 3041.887, usercpu_time_millis_testing: 73.574, usercpu_time_millis_training: 2968.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.7637, kappa: 0.0355, kb_relative_information_score: -2247.0065, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8059, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9321, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9613, scimark_benchmark: 1253.032, usercpu_time_millis: 1260.933, usercpu_time_millis_testing: 36.753, usercpu_time_millis_training: 1224.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.7579, kappa: 0.0115, kb_relative_information_score: -2055.704, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8219, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.968, scimark_benchmark: 1252.1981, usercpu_time_millis: 30.512, usercpu_time_millis_testing: 1.523, usercpu_time_millis_training: 28.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.7705, kappa: 0.0644, kb_relative_information_score: -3433.7429, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7966, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9406, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.964, scimark_benchmark: 1262.2705, usercpu_time_millis: 2624.239, usercpu_time_millis_testing: 48.675, usercpu_time_millis_training: 2575.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.757, kappa: 0.0076, kb_relative_information_score: -2450.5132, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7915, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9409, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1240.5208, usercpu_time_millis: 2044.758, usercpu_time_millis_testing: 72.318, usercpu_time_millis_training: 1972.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.7783, kappa: 0.1014, kb_relative_information_score: -4193.5709, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7821, predictive_accuracy: 0.8309, prior_entropy: 0.6541, recall: 0.8309, relative_absolute_error: 0.9386, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9758, scimark_benchmark: 1257.9105, usercpu_time_millis: 2111.713, usercpu_time_millis_testing: 28.747, usercpu_time_millis_training: 2082.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, f_measure: 0.7616, kappa: 0.0267, kb_relative_information_score: -2530.7739, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8016, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9643, scimark_benchmark: 1267.7118, usercpu_time_millis: 2378.441, usercpu_time_millis_testing: 67.65, usercpu_time_millis_training: 2310.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6846, f_measure: 0.7551, kb_relative_information_score: -2379.7996, 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: 0.9587, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.972, scimark_benchmark: 1246.2507, usercpu_time_millis: 799.531, usercpu_time_millis_testing: 46.344, usercpu_time_millis_training: 753.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, f_measure: 0.7694, kappa: 0.0596, kb_relative_information_score: -2247.6, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8047, predictive_accuracy: 0.8348, prior_entropy: 0.6541, recall: 0.8348, relative_absolute_error: 0.9289, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.959, scimark_benchmark: 1259.8252, usercpu_time_millis: 1932.56, usercpu_time_millis_testing: 49.952, usercpu_time_millis_training: 1882.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7604, kappa: 0.022, kb_relative_information_score: -2551.2057, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7955, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9357, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1261.1098, usercpu_time_millis: 1355.378, usercpu_time_millis_testing: 21.082, usercpu_time_millis_training: 1334.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.7575, kappa: 0.01, kb_relative_information_score: -2502.4115, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7839, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9402, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9673, scimark_benchmark: 1263.6502, usercpu_time_millis: 1270.204, usercpu_time_millis_testing: 35.508, usercpu_time_millis_training: 1234.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5634, f_measure: 0.7581, kappa: 0.0124, kb_relative_information_score: -803.4225, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7877, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.9956, scimark_benchmark: 1291.4769, usercpu_time_millis: 17424.515, usercpu_time_millis_testing: 60.98, usercpu_time_millis_training: 17363.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6698, f_measure: 0.7782, kappa: 0.1039, kb_relative_information_score: -4227.4777, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7747, predictive_accuracy: 0.8274, prior_entropy: 0.6541, recall: 0.8274, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9823, scimark_benchmark: 1239.1976, usercpu_time_millis: 723.156, usercpu_time_millis_testing: 15.027, usercpu_time_millis_training: 708.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.7551, kb_relative_information_score: -1869.2907, 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: 0.9561, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9686, scimark_benchmark: 1242.8433, usercpu_time_millis: 225.673, usercpu_time_millis_testing: 12.01, usercpu_time_millis_training: 213.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.7586, kappa: 0.0143, kb_relative_information_score: -1685.2521, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8231, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.95, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9651, scimark_benchmark: 1257.6031, usercpu_time_millis: 518.215, usercpu_time_millis_testing: 25.865, usercpu_time_millis_training: 492.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.7588, kappa: 0.0153, kb_relative_information_score: -2199.1759, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.818, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9633, scimark_benchmark: 1249.3268, usercpu_time_millis: 355.333, usercpu_time_millis_testing: 12.62, usercpu_time_millis_training: 342.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.7647, kappa: 0.0396, kb_relative_information_score: -2000.9258, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8033, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.9605, scimark_benchmark: 1259.6864, usercpu_time_millis: 357.275, usercpu_time_millis_testing: 9.768, usercpu_time_millis_training: 347.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5854, f_measure: 0.7572, kappa: 0.0088, kb_relative_information_score: 136.7791, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8201, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9964, scimark_benchmark: 1308.7932, usercpu_time_millis: 9363.686, usercpu_time_millis_testing: 10.592, usercpu_time_millis_training: 9353.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5841, f_measure: 0.7572, kappa: 0.0088, kb_relative_information_score: 136.097, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8201, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9965, scimark_benchmark: 1302.0106, usercpu_time_millis: 11814.234, usercpu_time_millis_testing: 10.615, usercpu_time_millis_training: 11803.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5581, f_measure: 0.7558, kappa: 0.0026, kb_relative_information_score: 75.2666, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8342, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9992, scimark_benchmark: 1291.2693, usercpu_time_millis: 7329.815, usercpu_time_millis_testing: 11.892, usercpu_time_millis_training: 7317.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6004, f_measure: 0.7583, kappa: 0.013, kb_relative_information_score: 128.3471, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8171, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.9953, scimark_benchmark: 1310.4837, usercpu_time_millis: 1687.855, usercpu_time_millis_testing: 10.405, usercpu_time_millis_training: 1677.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5496, f_measure: 0.7558, kappa: 0.0028, kb_relative_information_score: 76.3064, mean_absolute_error: 0.2797, 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: 0.9984, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9992, scimark_benchmark: 1294.4895, usercpu_time_millis: 3358.741, usercpu_time_millis_testing: 12.978, usercpu_time_millis_training: 3345.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5169, f_measure: 0.7551, kb_relative_information_score: 10.717, mean_absolute_error: 0.28, 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: 0.9997, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1296.0027, usercpu_time_millis: 13546.843, usercpu_time_millis_testing: 12.228, usercpu_time_millis_training: 13534.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5266, f_measure: 0.7552, kappa: 0.0004, kb_relative_information_score: 21.4237, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8038, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9999, scimark_benchmark: 1307.2731, usercpu_time_millis: 2328.979, usercpu_time_millis_testing: 13.015, usercpu_time_millis_training: 2315.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.7576, kappa: 0.0104, kb_relative_information_score: 137.6701, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8133, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.9958, scimark_benchmark: 1310.3839, usercpu_time_millis: 2222.638, usercpu_time_millis_testing: 12.746, usercpu_time_millis_training: 2209.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5824, f_measure: 0.7573, kappa: 0.0088, kb_relative_information_score: 135.0072, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8138, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9963, scimark_benchmark: 1321.9873, usercpu_time_millis: 7215.673, usercpu_time_millis_testing: 11.677, usercpu_time_millis_training: 7203.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.586, f_measure: 0.7575, kappa: 0.0098, kb_relative_information_score: 112.6816, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8171, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9961, scimark_benchmark: 1295.1962, usercpu_time_millis: 4868.647, usercpu_time_millis_testing: 10.885, usercpu_time_millis_training: 4857.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5926, f_measure: 0.7577, kappa: 0.0105, kb_relative_information_score: 126.9072, mean_absolute_error: 0.2783, 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: 0.9934, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9961, scimark_benchmark: 1302.4572, usercpu_time_millis: 2835.711, usercpu_time_millis_testing: 11.866, usercpu_time_millis_training: 2823.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, f_measure: 0.7578, kappa: 0.011, kb_relative_information_score: 144.6275, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8206, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.9959, scimark_benchmark: 1277.7227, usercpu_time_millis: 2221.226, usercpu_time_millis_testing: 12.607, usercpu_time_millis_training: 2208.619,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.545, f_measure: 0.7559, kappa: 0.0031, kb_relative_information_score: 88.35, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8286, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9991, scimark_benchmark: 1261.3611, usercpu_time_millis: 1878.474, usercpu_time_millis_testing: 12.359, usercpu_time_millis_training: 1866.115,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.7566, kappa: 0.0061, kb_relative_information_score: -634.1195, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7593, predictive_accuracy: 0.8311, prior_entropy: 0.6541, recall: 0.8311, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9964, scimark_benchmark: 1306.2161, usercpu_time_millis: 12868.645, usercpu_time_millis_testing: 47.73, usercpu_time_millis_training: 12820.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.7576, kappa: 0.0102, kb_relative_information_score: 116.6471, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8145, 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: 1302.2556, usercpu_time_millis: 3067.724, usercpu_time_millis_testing: 12.33, usercpu_time_millis_training: 3055.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5551, f_measure: 0.7578, kappa: 0.0109, kb_relative_information_score: 90.4529, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8085, 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: 1301.07, usercpu_time_millis: 5180.067, usercpu_time_millis_testing: 26.427, usercpu_time_millis_training: 5153.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5854, f_measure: 0.7572, kappa: 0.0088, kb_relative_information_score: 137.3471, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8201, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9965, scimark_benchmark: 1269.0771, usercpu_time_millis: 15263.113, usercpu_time_millis_testing: 10.663, usercpu_time_millis_training: 15252.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5832, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: 132.4326, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8214, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.9959, scimark_benchmark: 1300.6806, usercpu_time_millis: 4772.327, usercpu_time_millis_testing: 23.729, usercpu_time_millis_training: 4748.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5876, f_measure: 0.757, kappa: 0.0076, kb_relative_information_score: 118.1682, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8089, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.9968, scimark_benchmark: 1317.2949, usercpu_time_millis: 3625.992, usercpu_time_millis_testing: 11.342, usercpu_time_millis_training: 3614.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.7552, kappa: 0.0004, kb_relative_information_score: 21.1353, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8038, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9999, scimark_benchmark: 1310.7045, usercpu_time_millis: 3471.603, usercpu_time_millis_testing: 14.008, usercpu_time_millis_training: 3457.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5952, f_measure: 0.7573, kappa: 0.0088, kb_relative_information_score: 120.2333, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8138, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9961, scimark_benchmark: 1301.8325, usercpu_time_millis: 3339.541, usercpu_time_millis_testing: 10.94, usercpu_time_millis_training: 3328.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5931, f_measure: 0.7576, kappa: 0.01, kb_relative_information_score: 119.2054, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8157, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9962, scimark_benchmark: 1277.7321, usercpu_time_millis: 4310.591, usercpu_time_millis_testing: 12.322, usercpu_time_millis_training: 4298.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5854, f_measure: 0.7575, kappa: 0.0097, kb_relative_information_score: 131.4203, mean_absolute_error: 0.2783, 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: 0.9934, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9963, scimark_benchmark: 1279.613, usercpu_time_millis: 8389.554, usercpu_time_millis_testing: 11.27, usercpu_time_millis_training: 8378.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5569, f_measure: 0.7579, kappa: 0.0113, kb_relative_information_score: -44.9903, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8126, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.9958, scimark_benchmark: 1301.5904, usercpu_time_millis: 4914.683, usercpu_time_millis_testing: 23.851, usercpu_time_millis_training: 4890.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5885, f_measure: 0.7578, kappa: 0.0109, kb_relative_information_score: 143.6318, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8148, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.9959, scimark_benchmark: 1282.2844, usercpu_time_millis: 2258.757, usercpu_time_millis_testing: 12.386, usercpu_time_millis_training: 2246.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6015, f_measure: 0.7584, kappa: 0.0135, kb_relative_information_score: 130.1939, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8183, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.9952, scimark_benchmark: 1298.0021, usercpu_time_millis: 1956.466, usercpu_time_millis_testing: 10.433, usercpu_time_millis_training: 1946.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5623, f_measure: 0.7558, kappa: 0.0026, kb_relative_information_score: 73.5007, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8342, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9992, scimark_benchmark: 1304.0004, usercpu_time_millis: 15063.013, usercpu_time_millis_testing: 12.117, usercpu_time_millis_training: 15050.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5833, f_measure: 0.7569, kappa: 0.0074, kb_relative_information_score: 103.6799, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8103, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9966, scimark_benchmark: 1266.2575, usercpu_time_millis: 6877.417, usercpu_time_millis_testing: 10.8, usercpu_time_millis_training: 6866.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: 15.3703, 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: 1296.2111, usercpu_time_millis: 6689.214, usercpu_time_millis_testing: 12.129, usercpu_time_millis_training: 6677.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5857, f_measure: 0.7575, kappa: 0.0098, kb_relative_information_score: 113.2435, mean_absolute_error: 0.2783, 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: 0.9935, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9963, scimark_benchmark: 1269.8033, usercpu_time_millis: 4932.845, usercpu_time_millis_testing: 11.65, usercpu_time_millis_training: 4921.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5522, f_measure: 0.7558, kappa: 0.0028, kb_relative_information_score: 79.9245, 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: 0.9983, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9992, scimark_benchmark: 1298.8077, usercpu_time_millis: 3276.508, usercpu_time_millis_testing: 13.441, usercpu_time_millis_training: 3263.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.767, kappa: 0.0493, kb_relative_information_score: -2494.1841, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7979, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9321, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9631, scimark_benchmark: 1295.0336, usercpu_time_millis: 5617.288, usercpu_time_millis_testing: 95.832, usercpu_time_millis_training: 5521.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.7673, kappa: 0.0507, kb_relative_information_score: -2228.3616, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.796, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9281, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.962, scimark_benchmark: 1287.8944, usercpu_time_millis: 3189.476, usercpu_time_millis_testing: 44.895, usercpu_time_millis_training: 3144.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.7715, kappa: 0.0688, kb_relative_information_score: -2477.055, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7995, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.965, scimark_benchmark: 1244.6284, usercpu_time_millis: 2374.569, usercpu_time_millis_testing: 19.145, usercpu_time_millis_training: 2355.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.7746, kappa: 0.0824, kb_relative_information_score: -2868.5911, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7953, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9652, scimark_benchmark: 1274.4478, usercpu_time_millis: 4423.962, usercpu_time_millis_testing: 54.026, usercpu_time_millis_training: 4369.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.7562, kappa: 0.0045, kb_relative_information_score: -2458.163, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7743, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9421, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9672, scimark_benchmark: 1269.9109, usercpu_time_millis: 2518.921, usercpu_time_millis_testing: 83.442, usercpu_time_millis_training: 2435.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.7644, kappa: 0.0386, kb_relative_information_score: -2452.106, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8056, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.962, scimark_benchmark: 1286.2091, usercpu_time_millis: 996.5, usercpu_time_millis_testing: 42.259, usercpu_time_millis_training: 954.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, f_measure: 0.7585, kappa: 0.0141, kb_relative_information_score: -2442.0185, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7954, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9684, scimark_benchmark: 1276.4631, usercpu_time_millis: 1775.37, usercpu_time_millis_testing: 65.306, usercpu_time_millis_training: 1710.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.7551, kb_relative_information_score: -2468.3085, 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: 0.9578, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9714, scimark_benchmark: 1274.3985, usercpu_time_millis: 42.454, usercpu_time_millis_testing: 2.568, usercpu_time_millis_training: 39.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.7572, kappa: 0.0086, kb_relative_information_score: -1726.1406, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.822, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1244.4545, usercpu_time_millis: 752.721, usercpu_time_millis_testing: 35.292, usercpu_time_millis_training: 717.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.7605, kappa: 0.0221, kb_relative_information_score: -2579.4113, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7989, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1296.1107, usercpu_time_millis: 172.387, usercpu_time_millis_testing: 3.229, usercpu_time_millis_training: 169.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.7691, kappa: 0.0584, kb_relative_information_score: -2198.0095, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8002, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9246, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.9606, scimark_benchmark: 1275.3716, usercpu_time_millis: 4136.284, usercpu_time_millis_testing: 53.105, usercpu_time_millis_training: 4083.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.7698, kappa: 0.0615, kb_relative_information_score: -2972.1617, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7984, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9329, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9631, scimark_benchmark: 1295.7325, usercpu_time_millis: 220.725, usercpu_time_millis_testing: 6.185, usercpu_time_millis_training: 214.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.7607, kappa: 0.0231, kb_relative_information_score: -2327.6857, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8011, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9636, scimark_benchmark: 1261.959, usercpu_time_millis: 573.508, usercpu_time_millis_testing: 12.038, usercpu_time_millis_training: 561.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.7618, kappa: 0.0275, kb_relative_information_score: -2837.5852, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.799, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9658, scimark_benchmark: 1280.5188, usercpu_time_millis: 3260.841, usercpu_time_millis_testing: 94.433, usercpu_time_millis_training: 3166.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.7603, kappa: 0.0212, kb_relative_information_score: -2423.8894, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7964, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9647, scimark_benchmark: 1294.8557, usercpu_time_millis: 1713.688, usercpu_time_millis_testing: 29.642, usercpu_time_millis_training: 1684.046,

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