OpenML
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 6566 Supervised Classification Internet-Advertisements 25422 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9674, kappa: 0.8612, kb_relative_information_score: 2598.3278, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9677, predictive_accuracy: 0.9683, prior_entropy: 0.5848, recall: 0.9683, relative_absolute_error: 0.1986, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.4578, scimark_benchmark: 1316.4267, usercpu_time_millis: 680.831, usercpu_time_millis_testing: 14.715, usercpu_time_millis_training: 666.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9544, kappa: 0.8033, kb_relative_information_score: 2261.7208, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9554, predictive_accuracy: 0.9564, prior_entropy: 0.5848, recall: 0.9564, relative_absolute_error: 0.3027, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.5329, scimark_benchmark: 1291.2107, usercpu_time_millis: 585.398, usercpu_time_millis_testing: 13.845, usercpu_time_millis_training: 571.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.9528, kappa: 0.7962, kb_relative_information_score: 2236.6855, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9538, predictive_accuracy: 0.9549, prior_entropy: 0.5848, recall: 0.9549, relative_absolute_error: 0.3104, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.5352, scimark_benchmark: 1264.1748, usercpu_time_millis: 751.83, usercpu_time_millis_testing: 11.556, usercpu_time_millis_training: 740.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.9345, kappa: 0.706, kb_relative_information_score: 1870.479, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9429, predictive_accuracy: 0.9408, prior_entropy: 0.5848, recall: 0.9408, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.6522, scimark_benchmark: 1271.8989, usercpu_time_millis: 1343.457, usercpu_time_millis_testing: 24.551, usercpu_time_millis_training: 1318.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 455.8947, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.8651, scimark_benchmark: 1306.919, usercpu_time_millis: 3635.602, usercpu_time_millis_testing: 55.719, usercpu_time_millis_training: 3579.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.8625, kappa: 0.3449, kb_relative_information_score: 386.5074, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7352, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.8599, scimark_benchmark: 1307.8369, usercpu_time_millis: 3611.767, usercpu_time_millis_testing: 60.762, usercpu_time_millis_training: 3551.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9686, kappa: 0.8657, kb_relative_information_score: 2616.115, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9691, predictive_accuracy: 0.9695, prior_entropy: 0.5848, recall: 0.9695, relative_absolute_error: 0.1948, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.156, root_relative_squared_error: 0.4496, scimark_benchmark: 1292.1401, usercpu_time_millis: 646.927, usercpu_time_millis_testing: 13.324, usercpu_time_millis_training: 633.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.9544, kappa: 0.8033, kb_relative_information_score: 2268.0967, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9554, predictive_accuracy: 0.9564, prior_entropy: 0.5848, recall: 0.9564, relative_absolute_error: 0.3003, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.5323, scimark_benchmark: 1285.3433, usercpu_time_millis: 481.171, usercpu_time_millis_testing: 10.561, usercpu_time_millis_training: 470.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9598, kappa: 0.8273, kb_relative_information_score: 2292.1541, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9605, predictive_accuracy: 0.9613, prior_entropy: 0.5848, recall: 0.9613, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.5249, scimark_benchmark: 1280.2776, usercpu_time_millis: 476.23, usercpu_time_millis_testing: 11.463, usercpu_time_millis_training: 464.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 479.2158, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.866, scimark_benchmark: 1316.0061, usercpu_time_millis: 3622.835, usercpu_time_millis_testing: 61.653, usercpu_time_millis_training: 3561.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.9627, kappa: 0.8407, kb_relative_information_score: 2362.6179, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9629, predictive_accuracy: 0.9637, prior_entropy: 0.5848, recall: 0.9637, relative_absolute_error: 0.2675, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.5177, scimark_benchmark: 1309.0962, usercpu_time_millis: 566.65, usercpu_time_millis_testing: 13.813, usercpu_time_millis_training: 552.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.9462, kappa: 0.7649, kb_relative_information_score: 2140.2645, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9485, predictive_accuracy: 0.9494, prior_entropy: 0.5848, recall: 0.9494, relative_absolute_error: 0.3578, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.5892, scimark_benchmark: 1320.7052, usercpu_time_millis: 1254.257, usercpu_time_millis_testing: 24.75, usercpu_time_millis_training: 1229.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.8628, kappa: 0.3459, kb_relative_information_score: 358.5806, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9012, predictive_accuracy: 0.8923, prior_entropy: 0.5848, recall: 0.8923, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.8592, scimark_benchmark: 1294.4425, usercpu_time_millis: 3492.268, usercpu_time_millis_testing: 55.13, usercpu_time_millis_training: 3437.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.8623, kappa: 0.3439, kb_relative_information_score: 356.8964, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8988, predictive_accuracy: 0.8917, prior_entropy: 0.5848, recall: 0.8917, relative_absolute_error: 0.7399, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.8601, scimark_benchmark: 1262.342, usercpu_time_millis: 3520.716, usercpu_time_millis_testing: 59.632, usercpu_time_millis_training: 3461.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.9554, kappa: 0.8072, kb_relative_information_score: 2284.939, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9565, predictive_accuracy: 0.9573, prior_entropy: 0.5848, recall: 0.9573, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.5295, scimark_benchmark: 1276.278, usercpu_time_millis: 547.025, usercpu_time_millis_testing: 13.09, usercpu_time_millis_training: 533.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.9557, kappa: 0.8084, kb_relative_information_score: 2287.1428, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9568, predictive_accuracy: 0.9576, prior_entropy: 0.5848, recall: 0.9576, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.5291, scimark_benchmark: 1306.731, usercpu_time_millis: 521.199, usercpu_time_millis_testing: 13.191, usercpu_time_millis_training: 508.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8875, kappa: 0.4765, kb_relative_information_score: 908.7346, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9052, predictive_accuracy: 0.9055, prior_entropy: 0.5848, recall: 0.9055, relative_absolute_error: 0.6192, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.7827, scimark_benchmark: 1300.2166, usercpu_time_millis: 3436.713, usercpu_time_millis_testing: 52.142, usercpu_time_millis_training: 3384.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.9209, kappa: 0.6446, kb_relative_information_score: 1646.9946, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9273, predictive_accuracy: 0.9286, prior_entropy: 0.5848, recall: 0.9286, relative_absolute_error: 0.47, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.6729, scimark_benchmark: 1288.852, usercpu_time_millis: 3257.033, usercpu_time_millis_testing: 48.511, usercpu_time_millis_training: 3208.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.955, kappa: 0.8056, kb_relative_information_score: 2232.892, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9562, predictive_accuracy: 0.957, prior_entropy: 0.5848, recall: 0.957, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.5348, scimark_benchmark: 1311.942, usercpu_time_millis: 562.112, usercpu_time_millis_testing: 11.971, usercpu_time_millis_training: 550.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.9554, kappa: 0.8061, kb_relative_information_score: 2263.0759, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9572, predictive_accuracy: 0.9576, prior_entropy: 0.5848, recall: 0.9576, relative_absolute_error: 0.3164, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.5572, scimark_benchmark: 1295.2969, usercpu_time_millis: 1287.131, usercpu_time_millis_testing: 24.52, usercpu_time_millis_training: 1262.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.9556, kappa: 0.808, kb_relative_information_score: 2270.9863, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9569, predictive_accuracy: 0.9576, prior_entropy: 0.5848, recall: 0.9576, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.5572, scimark_benchmark: 1277.029, usercpu_time_millis: 1278.774, usercpu_time_millis_testing: 24.092, usercpu_time_millis_training: 1254.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.8678, kappa: 0.3743, kb_relative_information_score: 467.4027, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8956, predictive_accuracy: 0.8939, prior_entropy: 0.5848, recall: 0.8939, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.294, root_relative_squared_error: 0.8472, scimark_benchmark: 1304.5563, usercpu_time_millis: 3443.733, usercpu_time_millis_testing: 57.142, usercpu_time_millis_training: 3386.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.9482, kappa: 0.7708, kb_relative_information_score: 2112.9953, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9535, predictive_accuracy: 0.9521, prior_entropy: 0.5848, recall: 0.9521, relative_absolute_error: 0.3801, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.5891, scimark_benchmark: 1306.9609, usercpu_time_millis: 1639.56, usercpu_time_millis_testing: 31.995, usercpu_time_millis_training: 1607.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.9464, kappa: 0.7623, kb_relative_information_score: 2079.5313, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9521, predictive_accuracy: 0.9506, prior_entropy: 0.5848, recall: 0.9506, relative_absolute_error: 0.3922, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.5973, scimark_benchmark: 1306.5066, usercpu_time_millis: 1634.639, usercpu_time_millis_testing: 29.748, usercpu_time_millis_training: 1604.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.9421, kappa: 0.7463, kb_relative_information_score: 2038.687, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9445, predictive_accuracy: 0.9457, prior_entropy: 0.5848, recall: 0.9457, relative_absolute_error: 0.3715, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.5943, scimark_benchmark: 1311.785, usercpu_time_millis: 3230.427, usercpu_time_millis_testing: 44.768, usercpu_time_millis_training: 3185.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9648, kappa: 0.8499, kb_relative_information_score: 2484.6893, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9652, predictive_accuracy: 0.9658, prior_entropy: 0.5848, recall: 0.9658, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.4876, scimark_benchmark: 1312.3607, usercpu_time_millis: 686.648, usercpu_time_millis_testing: 16.836, usercpu_time_millis_training: 669.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9536, kappa: 0.7968, kb_relative_information_score: 2260.7614, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9567, predictive_accuracy: 0.9564, prior_entropy: 0.5848, recall: 0.9564, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.558, scimark_benchmark: 1285.6109, usercpu_time_millis: 1422.031, usercpu_time_millis_testing: 28.466, usercpu_time_millis_training: 1393.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.8673, kappa: 0.3736, kb_relative_information_score: 664.5763, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8908, predictive_accuracy: 0.8927, prior_entropy: 0.5848, recall: 0.8927, relative_absolute_error: 0.7305, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.8551, scimark_benchmark: 1267.1372, usercpu_time_millis: 3392.885, usercpu_time_millis_testing: 52.308, usercpu_time_millis_training: 3340.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9598, kappa: 0.8249, kb_relative_information_score: 2364.9586, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9622, predictive_accuracy: 0.9619, prior_entropy: 0.5848, recall: 0.9619, relative_absolute_error: 0.299, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.5147, scimark_benchmark: 1312.286, usercpu_time_millis: 1867.517, usercpu_time_millis_testing: 35.187, usercpu_time_millis_training: 1832.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9645, kappa: 0.8487, kb_relative_information_score: 2544.82, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9649, predictive_accuracy: 0.9655, prior_entropy: 0.5848, recall: 0.9655, relative_absolute_error: 0.2139, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.469, scimark_benchmark: 1305.1218, usercpu_time_millis: 706.268, usercpu_time_millis_testing: 14.613, usercpu_time_millis_training: 691.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9528, kappa: 0.7958, kb_relative_information_score: 2228.513, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9538, predictive_accuracy: 0.9549, prior_entropy: 0.5848, recall: 0.9549, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.535, scimark_benchmark: 1276.4188, usercpu_time_millis: 639.532, usercpu_time_millis_testing: 12.613, usercpu_time_millis_training: 626.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.8629, kappa: 0.3481, kb_relative_information_score: 353.9291, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8951, predictive_accuracy: 0.8914, prior_entropy: 0.5848, recall: 0.8914, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.8595, scimark_benchmark: 1264.5763, usercpu_time_millis: 3318.985, usercpu_time_millis_testing: 58.543, usercpu_time_millis_training: 3260.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9635, kappa: 0.8443, kb_relative_information_score: 2357.8934, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9639, predictive_accuracy: 0.9646, prior_entropy: 0.5848, recall: 0.9646, relative_absolute_error: 0.2704, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.5164, scimark_benchmark: 1312.9506, usercpu_time_millis: 590.83, usercpu_time_millis_testing: 14.201, usercpu_time_millis_training: 576.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9544, kappa: 0.8033, kb_relative_information_score: 2260.0007, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9554, predictive_accuracy: 0.9564, prior_entropy: 0.5848, recall: 0.9564, relative_absolute_error: 0.3034, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.533, scimark_benchmark: 1313.8385, usercpu_time_millis: 575.882, usercpu_time_millis_testing: 13.538, usercpu_time_millis_training: 562.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.863, kappa: 0.3468, kb_relative_information_score: 424.0828, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9025, predictive_accuracy: 0.8927, prior_entropy: 0.5848, recall: 0.8927, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.299, root_relative_squared_error: 0.8618, scimark_benchmark: 1301.6487, usercpu_time_millis: 3511.106, usercpu_time_millis_testing: 58.827, usercpu_time_millis_training: 3452.279,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.863, kappa: 0.3468, kb_relative_information_score: 563.9268, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9025, predictive_accuracy: 0.8927, prior_entropy: 0.5848, recall: 0.8927, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.8662, scimark_benchmark: 1259.5131, usercpu_time_millis: 3165.95, usercpu_time_millis_testing: 54.236, usercpu_time_millis_training: 3111.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.9551, kappa: 0.8037, kb_relative_information_score: 2299.9844, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9578, predictive_accuracy: 0.9576, prior_entropy: 0.5848, recall: 0.9576, relative_absolute_error: 0.3123, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.5469, scimark_benchmark: 1300.2715, usercpu_time_millis: 1343.211, usercpu_time_millis_testing: 26.037, usercpu_time_millis_training: 1317.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9557, kappa: 0.8073, kb_relative_information_score: 2266.848, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9576, predictive_accuracy: 0.9579, prior_entropy: 0.5848, recall: 0.9579, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.5589, scimark_benchmark: 1266.6361, usercpu_time_millis: 1246.072, usercpu_time_millis_testing: 24.191, usercpu_time_millis_training: 1221.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9547, kappa: 0.8044, kb_relative_information_score: 2267.6039, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9558, predictive_accuracy: 0.9567, prior_entropy: 0.5848, recall: 0.9567, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.5319, scimark_benchmark: 1299.3804, usercpu_time_millis: 495.087, usercpu_time_millis_testing: 11.234, usercpu_time_millis_training: 483.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.8625, kappa: 0.3449, kb_relative_information_score: 273.756, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7538, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.8603, scimark_benchmark: 1271.4707, usercpu_time_millis: 3475.331, usercpu_time_millis_testing: 57.799, usercpu_time_millis_training: 3417.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.8675, kappa: 0.3727, kb_relative_information_score: 446.3596, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8963, predictive_accuracy: 0.8939, prior_entropy: 0.5848, recall: 0.8939, relative_absolute_error: 0.724, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.849, scimark_benchmark: 1269.0389, usercpu_time_millis: 3432.526, usercpu_time_millis_testing: 54.414, usercpu_time_millis_training: 3378.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9671, kappa: 0.86, kb_relative_information_score: 2574.8489, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9674, predictive_accuracy: 0.968, prior_entropy: 0.5848, recall: 0.968, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.4636, scimark_benchmark: 1289.4338, usercpu_time_millis: 683.458, usercpu_time_millis_testing: 15.501, usercpu_time_millis_training: 667.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8763, kappa: 0.4182, kb_relative_information_score: 631.1681, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8998, predictive_accuracy: 0.8988, prior_entropy: 0.5848, recall: 0.8988, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.8155, scimark_benchmark: 1306.6196, usercpu_time_millis: 3367.917, usercpu_time_millis_testing: 54.08, usercpu_time_millis_training: 3313.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.949, kappa: 0.7742, kb_relative_information_score: 2123.3223, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9541, predictive_accuracy: 0.9527, prior_entropy: 0.5848, recall: 0.9527, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.5868, scimark_benchmark: 1302.3593, usercpu_time_millis: 1560.853, usercpu_time_millis_testing: 29.11, usercpu_time_millis_training: 1531.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.9141, kappa: 0.6095, kb_relative_information_score: 1266.123, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.924, predictive_accuracy: 0.9241, prior_entropy: 0.5848, recall: 0.9241, relative_absolute_error: 0.5165, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.6913, scimark_benchmark: 1305.0889, usercpu_time_millis: 2965.521, usercpu_time_millis_testing: 47.388, usercpu_time_millis_training: 2918.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9668, kappa: 0.8588, kb_relative_information_score: 2575.4307, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9671, predictive_accuracy: 0.9677, prior_entropy: 0.5848, recall: 0.9677, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.465, scimark_benchmark: 1280.2366, usercpu_time_millis: 694.164, usercpu_time_millis_testing: 14.31, usercpu_time_millis_training: 679.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.9313, kappa: 0.6898, kb_relative_information_score: 1792.9106, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9411, predictive_accuracy: 0.9384, prior_entropy: 0.5848, recall: 0.9384, relative_absolute_error: 0.4835, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.6667, scimark_benchmark: 1276.6557, usercpu_time_millis: 1373.843, usercpu_time_millis_testing: 28.081, usercpu_time_millis_training: 1345.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9604, kappa: 0.8297, kb_relative_information_score: 2305.0148, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9612, predictive_accuracy: 0.9619, prior_entropy: 0.5848, recall: 0.9619, relative_absolute_error: 0.289, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.5226, scimark_benchmark: 1278.8936, usercpu_time_millis: 542.106, usercpu_time_millis_testing: 14.561, usercpu_time_millis_training: 527.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.9313, kappa: 0.6898, kb_relative_information_score: 1780.8368, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9411, predictive_accuracy: 0.9384, prior_entropy: 0.5848, recall: 0.9384, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.232, root_relative_squared_error: 0.6688, scimark_benchmark: 1289.9543, usercpu_time_millis: 1372.32, usercpu_time_millis_testing: 27.514, usercpu_time_millis_training: 1344.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.8621, kappa: 0.3437, kb_relative_information_score: 334.5656, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8956, predictive_accuracy: 0.8911, prior_entropy: 0.5848, recall: 0.8911, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.8611, scimark_benchmark: 1259.7332, usercpu_time_millis: 3356.26, usercpu_time_millis_testing: 56.067, usercpu_time_millis_training: 3300.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9704, kappa: 0.8733, kb_relative_information_score: 2630.6307, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9712, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.1916, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.4442, scimark_benchmark: 1301.8635, usercpu_time_millis: 812.139, usercpu_time_millis_testing: 16.922, usercpu_time_millis_training: 795.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.8628, kappa: 0.3459, kb_relative_information_score: 238.4035, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9012, predictive_accuracy: 0.8923, prior_entropy: 0.5848, recall: 0.8923, relative_absolute_error: 0.7552, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.8602, scimark_benchmark: 1303.6361, usercpu_time_millis: 3412.598, usercpu_time_millis_testing: 55.776, usercpu_time_millis_training: 3356.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.9497, kappa: 0.7781, kb_relative_information_score: 2154.0095, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9545, predictive_accuracy: 0.9533, prior_entropy: 0.5848, recall: 0.9533, relative_absolute_error: 0.3653, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.5804, scimark_benchmark: 1257.2991, usercpu_time_millis: 1480.081, usercpu_time_millis_testing: 28.013, usercpu_time_millis_training: 1452.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9644, kappa: 0.8487, kb_relative_information_score: 2478.0617, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9645, predictive_accuracy: 0.9652, prior_entropy: 0.5848, recall: 0.9652, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.4882, scimark_benchmark: 1277.3868, usercpu_time_millis: 602.038, usercpu_time_millis_testing: 14.591, usercpu_time_millis_training: 587.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9631, kappa: 0.8428, kb_relative_information_score: 2423.5899, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9632, predictive_accuracy: 0.964, prior_entropy: 0.5848, recall: 0.964, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.5022, scimark_benchmark: 1300.9816, usercpu_time_millis: 615.194, usercpu_time_millis_testing: 14.022, usercpu_time_millis_training: 601.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9664, kappa: 0.8568, kb_relative_information_score: 2499.9202, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9668, predictive_accuracy: 0.9674, prior_entropy: 0.5848, recall: 0.9674, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.4844, scimark_benchmark: 1251.5354, usercpu_time_millis: 601.856, usercpu_time_millis_testing: 14.64, usercpu_time_millis_training: 587.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9683, kappa: 0.8648, kb_relative_information_score: 2600.0639, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9688, predictive_accuracy: 0.9692, prior_entropy: 0.5848, recall: 0.9692, relative_absolute_error: 0.1986, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.4557, scimark_benchmark: 1296.7245, usercpu_time_millis: 685.331, usercpu_time_millis_testing: 14.154, usercpu_time_millis_training: 671.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.8628, kappa: 0.3459, kb_relative_information_score: 237.24, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9012, predictive_accuracy: 0.8923, prior_entropy: 0.5848, recall: 0.8923, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.8603, scimark_benchmark: 1300.7368, usercpu_time_millis: 3338.591, usercpu_time_millis_testing: 56.418, usercpu_time_millis_training: 3282.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.9501, kappa: 0.7798, kb_relative_information_score: 2157.0452, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9548, predictive_accuracy: 0.9536, prior_entropy: 0.5848, recall: 0.9536, relative_absolute_error: 0.364, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.5797, scimark_benchmark: 1258.1094, usercpu_time_millis: 1476.761, usercpu_time_millis_testing: 27.826, usercpu_time_millis_training: 1448.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.954, kappa: 0.8013, kb_relative_information_score: 2250.2223, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9552, predictive_accuracy: 0.9561, prior_entropy: 0.5848, recall: 0.9561, relative_absolute_error: 0.3076, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.5338, scimark_benchmark: 1235.3445, usercpu_time_millis: 530.27, usercpu_time_millis_testing: 11.642, usercpu_time_millis_training: 518.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 337.1647, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.8666, scimark_benchmark: 1299.2053, usercpu_time_millis: 3547.238, usercpu_time_millis_testing: 60.418, usercpu_time_millis_training: 3486.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.959, kappa: 0.822, kb_relative_information_score: 2340.7484, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9609, predictive_accuracy: 0.961, prior_entropy: 0.5848, recall: 0.961, relative_absolute_error: 0.2975, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.5354, scimark_benchmark: 1307.0986, usercpu_time_millis: 1268.409, usercpu_time_millis_testing: 23.73, usercpu_time_millis_training: 1244.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.863, kappa: 0.3468, kb_relative_information_score: 395.1243, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9025, predictive_accuracy: 0.8927, prior_entropy: 0.5848, recall: 0.8927, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.8594, scimark_benchmark: 1301.4697, usercpu_time_millis: 3340.317, usercpu_time_millis_testing: 54.956, usercpu_time_millis_training: 3285.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.8619, kappa: 0.3435, kb_relative_information_score: 475.3628, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8926, predictive_accuracy: 0.8905, prior_entropy: 0.5848, recall: 0.8905, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.8626, scimark_benchmark: 1273.926, usercpu_time_millis: 3609.154, usercpu_time_millis_testing: 56.948, usercpu_time_millis_training: 3552.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.8681, kappa: 0.3753, kb_relative_information_score: 441.4687, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8966, predictive_accuracy: 0.8942, prior_entropy: 0.5848, recall: 0.8942, relative_absolute_error: 0.7235, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.847, scimark_benchmark: 1274.7525, usercpu_time_millis: 3195.627, usercpu_time_millis_testing: 55.634, usercpu_time_millis_training: 3139.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.8678, kappa: 0.3743, kb_relative_information_score: 456.3355, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8956, predictive_accuracy: 0.8939, prior_entropy: 0.5848, recall: 0.8939, relative_absolute_error: 0.7229, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.8472, scimark_benchmark: 1293.3241, usercpu_time_millis: 3230.214, usercpu_time_millis_testing: 53.952, usercpu_time_millis_training: 3176.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9685, kappa: 0.8655, kb_relative_information_score: 2620.2655, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9692, predictive_accuracy: 0.9695, prior_entropy: 0.5848, recall: 0.9695, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.4483, scimark_benchmark: 1302.5644, usercpu_time_millis: 714.035, usercpu_time_millis_testing: 16.091, usercpu_time_millis_training: 697.944,

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