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: 0.9579, f_measure: 0.963, kappa: 0.8422, kb_relative_information_score: 2404.0029, mean_absolute_error: 0.0607, 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: 0.2519, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.5076, scimark_benchmark: 1844.6953, usercpu_time_millis: 434.323, usercpu_time_millis_testing: 8.545, usercpu_time_millis_training: 425.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9565, kappa: 0.8126, kb_relative_information_score: 2283.4611, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9573, predictive_accuracy: 0.9582, prior_entropy: 0.5848, recall: 0.9582, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.5279, scimark_benchmark: 1803.0019, usercpu_time_millis: 383.172, usercpu_time_millis_testing: 7.844, usercpu_time_millis_training: 375.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.964, kappa: 0.8466, kb_relative_information_score: 2415.075, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9642, predictive_accuracy: 0.9649, prior_entropy: 0.5848, recall: 0.9649, relative_absolute_error: 0.2498, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.5046, scimark_benchmark: 1848.2615, usercpu_time_millis: 429.621, usercpu_time_millis_testing: 8.438, usercpu_time_millis_training: 421.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9528, kappa: 0.7958, kb_relative_information_score: 2227.9396, 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: 0.3152, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.5351, scimark_benchmark: 1840.6297, usercpu_time_millis: 486.646, usercpu_time_millis_testing: 7.487, usercpu_time_millis_training: 479.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9642, kappa: 0.8475, kb_relative_information_score: 2547.2302, mean_absolute_error: 0.0513, 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: 0.2131, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.4689, scimark_benchmark: 1816.1822, usercpu_time_millis: 409.115, usercpu_time_millis_testing: 8.496, usercpu_time_millis_training: 400.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9593, kappa: 0.8253, kb_relative_information_score: 2311.8947, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9598, predictive_accuracy: 0.9607, prior_entropy: 0.5848, recall: 0.9607, relative_absolute_error: 0.285, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.5226, scimark_benchmark: 1827.287, usercpu_time_millis: 388.424, usercpu_time_millis_testing: 8.425, usercpu_time_millis_training: 379.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9633, kappa: 0.8437, kb_relative_information_score: 2405.1356, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9635, predictive_accuracy: 0.9643, prior_entropy: 0.5848, recall: 0.9643, relative_absolute_error: 0.2516, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.176, root_relative_squared_error: 0.5073, scimark_benchmark: 1847.8034, usercpu_time_millis: 422.349, usercpu_time_millis_testing: 8.527, usercpu_time_millis_training: 413.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9593, kappa: 0.8253, kb_relative_information_score: 2312.0256, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9598, predictive_accuracy: 0.9607, prior_entropy: 0.5848, recall: 0.9607, relative_absolute_error: 0.285, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.5225, scimark_benchmark: 1812.8098, usercpu_time_millis: 389.053, usercpu_time_millis_testing: 7.841, usercpu_time_millis_training: 381.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.965, kappa: 0.8511, kb_relative_information_score: 2448.4524, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9651, predictive_accuracy: 0.9658, prior_entropy: 0.5848, recall: 0.9658, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.4971, scimark_benchmark: 1844.1673, usercpu_time_millis: 445.646, usercpu_time_millis_testing: 8.693, usercpu_time_millis_training: 436.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9705, kappa: 0.8738, kb_relative_information_score: 2626.3467, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9711, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.1925, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.4462, scimark_benchmark: 1841.6886, usercpu_time_millis: 496.357, usercpu_time_millis_testing: 9.325, usercpu_time_millis_training: 487.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9528, kappa: 0.7958, kb_relative_information_score: 2228.2595, 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: 0.3151, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.535, scimark_benchmark: 1845.615, usercpu_time_millis: 376.786, usercpu_time_millis_testing: 5.952, usercpu_time_millis_training: 370.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9645, kappa: 0.8487, kb_relative_information_score: 2545.1122, 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: 0.2138, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.469, scimark_benchmark: 1847.7335, usercpu_time_millis: 490.35, usercpu_time_millis_testing: 9.302, usercpu_time_millis_training: 481.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9568, kappa: 0.8138, kb_relative_information_score: 2286.131, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9577, predictive_accuracy: 0.9585, prior_entropy: 0.5848, recall: 0.9585, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.5273, scimark_benchmark: 1805.715, usercpu_time_millis: 379.414, usercpu_time_millis_testing: 7.876, usercpu_time_millis_training: 371.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9556, kappa: 0.8076, kb_relative_information_score: 2271.0962, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.957, predictive_accuracy: 0.9576, prior_entropy: 0.5848, recall: 0.9576, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.5295, scimark_benchmark: 1840.6995, usercpu_time_millis: 384.093, usercpu_time_millis_testing: 7.49, usercpu_time_millis_training: 376.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9689, kappa: 0.8675, kb_relative_information_score: 2604.899, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9694, predictive_accuracy: 0.9698, prior_entropy: 0.5848, recall: 0.9698, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.4537, scimark_benchmark: 1824.8072, usercpu_time_millis: 466.929, usercpu_time_millis_testing: 9.233, usercpu_time_millis_training: 457.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9613, kappa: 0.8347, kb_relative_information_score: 2323.2868, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9617, predictive_accuracy: 0.9625, prior_entropy: 0.5848, recall: 0.9625, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.5211, scimark_benchmark: 1830.2552, usercpu_time_millis: 390.938, usercpu_time_millis_testing: 8.494, usercpu_time_millis_training: 382.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9528, kappa: 0.7958, kb_relative_information_score: 2228.3489, 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: 1821.988, usercpu_time_millis: 416.25, usercpu_time_millis_testing: 6.571, usercpu_time_millis_training: 409.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9604, kappa: 0.8297, kb_relative_information_score: 2304.8402, mean_absolute_error: 0.0697, 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: 0.2891, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.5227, scimark_benchmark: 1833.2493, usercpu_time_millis: 386.118, usercpu_time_millis_testing: 7.746, usercpu_time_millis_training: 378.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.965, kappa: 0.8511, kb_relative_information_score: 2439.3047, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9651, predictive_accuracy: 0.9658, prior_entropy: 0.5848, recall: 0.9658, relative_absolute_error: 0.2429, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.4983, scimark_benchmark: 1844.6953, usercpu_time_millis: 422.572, usercpu_time_millis_testing: 8.133, usercpu_time_millis_training: 414.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9617, kappa: 0.8365, kb_relative_information_score: 2374.2961, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.962, predictive_accuracy: 0.9628, prior_entropy: 0.5848, recall: 0.9628, relative_absolute_error: 0.2643, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.5147, scimark_benchmark: 1847.8034, usercpu_time_millis: 413.914, usercpu_time_millis_testing: 8.069, usercpu_time_millis_training: 405.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9677, kappa: 0.8626, kb_relative_information_score: 2580.6805, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9681, predictive_accuracy: 0.9686, prior_entropy: 0.5848, recall: 0.9686, relative_absolute_error: 0.2046, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4616, scimark_benchmark: 1820.5148, usercpu_time_millis: 420.753, usercpu_time_millis_testing: 8.808, usercpu_time_millis_training: 411.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.955, kappa: 0.8056, kb_relative_information_score: 2233.0886, 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: 0.313, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.5348, scimark_benchmark: 1849.9157, usercpu_time_millis: 429.228, usercpu_time_millis_testing: 7.393, usercpu_time_millis_training: 421.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9528, kappa: 0.7958, kb_relative_information_score: 2227.592, mean_absolute_error: 0.076, 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: 0.3154, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.5351, scimark_benchmark: 1843.4438, usercpu_time_millis: 434.039, usercpu_time_millis_testing: 6.425, usercpu_time_millis_training: 427.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9677, kappa: 0.8624, kb_relative_information_score: 2590.9547, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9681, predictive_accuracy: 0.9686, prior_entropy: 0.5848, recall: 0.9686, relative_absolute_error: 0.2013, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.4588, scimark_benchmark: 1844.7681, usercpu_time_millis: 490.644, usercpu_time_millis_testing: 10.242, usercpu_time_millis_training: 480.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.9614, kappa: 0.835, kb_relative_information_score: 2375.1135, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9616, predictive_accuracy: 0.9625, prior_entropy: 0.5848, recall: 0.9625, relative_absolute_error: 0.264, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.5143, scimark_benchmark: 1839.1303, usercpu_time_millis: 420.814, usercpu_time_millis_testing: 8.009, usercpu_time_millis_training: 412.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9544, kappa: 0.8033, kb_relative_information_score: 2259.2455, mean_absolute_error: 0.0732, 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: 0.3037, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.185, root_relative_squared_error: 0.5331, scimark_benchmark: 1800.9139, usercpu_time_millis: 404.003, usercpu_time_millis_testing: 7.499, usercpu_time_millis_training: 396.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9624, kappa: 0.8401, kb_relative_information_score: 2387.4974, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9626, predictive_accuracy: 0.9634, prior_entropy: 0.5848, recall: 0.9634, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.5104, scimark_benchmark: 1815.5992, usercpu_time_millis: 423.463, usercpu_time_millis_testing: 8.306, usercpu_time_millis_training: 415.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9677, kappa: 0.8624, kb_relative_information_score: 2592.8911, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9681, predictive_accuracy: 0.9686, prior_entropy: 0.5848, recall: 0.9686, relative_absolute_error: 0.2008, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.159, root_relative_squared_error: 0.4582, scimark_benchmark: 1843.48, usercpu_time_millis: 501.07, usercpu_time_millis_testing: 9.816, usercpu_time_millis_training: 491.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9664, kappa: 0.8568, kb_relative_information_score: 2499.479, mean_absolute_error: 0.0543, 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: 0.2252, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.4845, scimark_benchmark: 1847.3482, usercpu_time_millis: 444.502, usercpu_time_millis_testing: 8.619, usercpu_time_millis_training: 435.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9632, kappa: 0.8431, kb_relative_information_score: 2358.0835, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9636, predictive_accuracy: 0.9643, prior_entropy: 0.5848, recall: 0.9643, relative_absolute_error: 0.2704, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.5163, scimark_benchmark: 1820.0566, usercpu_time_millis: 408.549, usercpu_time_millis_testing: 8.008, usercpu_time_millis_training: 400.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.9386, kappa: 0.7254, kb_relative_information_score: 1944.0391, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9462, predictive_accuracy: 0.9442, prior_entropy: 0.5848, recall: 0.9442, relative_absolute_error: 0.4343, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.6329, scimark_benchmark: 1736.9559, usercpu_time_millis: 542.133, usercpu_time_millis_testing: 10.287, usercpu_time_millis_training: 531.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.955, kappa: 0.8056, kb_relative_information_score: 2232.0384, mean_absolute_error: 0.0756, 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: 0.3136, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.5349, scimark_benchmark: 1825.0394, usercpu_time_millis: 407.14, usercpu_time_millis_testing: 6.713, usercpu_time_millis_training: 400.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9667, kappa: 0.8582, kb_relative_information_score: 2506.4302, mean_absolute_error: 0.0536, 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: 0.2223, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.4831, scimark_benchmark: 1848.7925, usercpu_time_millis: 454.969, usercpu_time_millis_testing: 8.686, usercpu_time_millis_training: 446.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9692, kappa: 0.8682, kb_relative_information_score: 2620.9312, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9698, predictive_accuracy: 0.9701, prior_entropy: 0.5848, recall: 0.9701, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.4477, scimark_benchmark: 1830.7134, usercpu_time_millis: 495.568, usercpu_time_millis_testing: 9.441, usercpu_time_millis_training: 486.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9661, kappa: 0.8556, kb_relative_information_score: 2500.4059, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9665, predictive_accuracy: 0.9671, prior_entropy: 0.5848, recall: 0.9671, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.4845, scimark_benchmark: 1843.7819, usercpu_time_millis: 453.188, usercpu_time_millis_testing: 8.423, usercpu_time_millis_training: 444.765,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.971, kappa: 0.8758, kb_relative_information_score: 2637.1389, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.1926, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.4436, scimark_benchmark: 1845.2262, usercpu_time_millis: 619.687, usercpu_time_millis_testing: 11.281, usercpu_time_millis_training: 608.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9708, kappa: 0.8753, kb_relative_information_score: 2623.5167, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9714, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.1936, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.4466, scimark_benchmark: 1850.2875, usercpu_time_millis: 546.022, usercpu_time_millis_testing: 10.473, usercpu_time_millis_training: 535.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9699, kappa: 0.8716, kb_relative_information_score: 2620.7809, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9704, predictive_accuracy: 0.9707, prior_entropy: 0.5848, recall: 0.9707, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.4476, scimark_benchmark: 1848.2615, usercpu_time_millis: 554.628, usercpu_time_millis_testing: 10.543, usercpu_time_millis_training: 544.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.9481, kappa: 0.7772, kb_relative_information_score: 2104.9914, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9483, predictive_accuracy: 0.95, prior_entropy: 0.5848, recall: 0.95, relative_absolute_error: 0.3423, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.5632, scimark_benchmark: 1825.7178, usercpu_time_millis: 590.798, usercpu_time_millis_testing: 6.276, usercpu_time_millis_training: 584.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9692, kappa: 0.8682, kb_relative_information_score: 2621.4907, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9698, predictive_accuracy: 0.9701, prior_entropy: 0.5848, recall: 0.9701, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.4475, scimark_benchmark: 1844.6953, usercpu_time_millis: 503.169, usercpu_time_millis_testing: 10.124, usercpu_time_millis_training: 493.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9528, kappa: 0.7958, kb_relative_information_score: 2227.6177, mean_absolute_error: 0.076, 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: 0.3153, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.5351, scimark_benchmark: 1851.8567, usercpu_time_millis: 511.046, usercpu_time_millis_testing: 7.687, usercpu_time_millis_training: 503.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9704, kappa: 0.8731, kb_relative_information_score: 2630.2456, mean_absolute_error: 0.0464, 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: 0.1928, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.4446, scimark_benchmark: 1851.8567, usercpu_time_millis: 553.072, usercpu_time_millis_testing: 10.24, usercpu_time_millis_training: 542.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9547, kappa: 0.8041, kb_relative_information_score: 2253.589, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9559, predictive_accuracy: 0.9567, prior_entropy: 0.5848, recall: 0.9567, relative_absolute_error: 0.306, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.5337, scimark_benchmark: 1821.8602, usercpu_time_millis: 597.619, usercpu_time_millis_testing: 6.235, usercpu_time_millis_training: 591.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9606, kappa: 0.8325, kb_relative_information_score: 2454.0751, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9606, predictive_accuracy: 0.9616, prior_entropy: 0.5848, recall: 0.9616, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.5047, scimark_benchmark: 1852.0126, usercpu_time_millis: 648.369, usercpu_time_millis_testing: 11.703, usercpu_time_millis_training: 636.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.9528, kappa: 0.7962, kb_relative_information_score: 2236.8336, 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: 1851.8567, usercpu_time_millis: 569.639, usercpu_time_millis_testing: 7.213, usercpu_time_millis_training: 562.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9716, kappa: 0.8785, kb_relative_information_score: 2635.5964, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9725, predictive_accuracy: 0.9726, prior_entropy: 0.5848, recall: 0.9726, relative_absolute_error: 0.1933, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.154, root_relative_squared_error: 0.4438, scimark_benchmark: 1731.9625, usercpu_time_millis: 598.249, usercpu_time_millis_testing: 11.652, usercpu_time_millis_training: 586.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9704, kappa: 0.8736, kb_relative_information_score: 2626.4245, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9711, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.1927, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.4458, scimark_benchmark: 1828.686, usercpu_time_millis: 519.405, usercpu_time_millis_testing: 9.759, usercpu_time_millis_training: 509.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.9492, kappa: 0.7778, kb_relative_information_score: 2195.7927, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9516, predictive_accuracy: 0.9521, prior_entropy: 0.5848, recall: 0.9521, relative_absolute_error: 0.3418, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.577, scimark_benchmark: 1842.2932, usercpu_time_millis: 643.004, usercpu_time_millis_testing: 11.373, usercpu_time_millis_training: 631.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.967, kappa: 0.8582, kb_relative_information_score: 2539.2683, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9682, predictive_accuracy: 0.9683, prior_entropy: 0.5848, recall: 0.9683, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.4792, scimark_benchmark: 1855.0232, usercpu_time_millis: 645.036, usercpu_time_millis_testing: 10.553, usercpu_time_millis_training: 634.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.9528, kappa: 0.7962, kb_relative_information_score: 2236.7689, 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: 1848.7925, usercpu_time_millis: 546.545, usercpu_time_millis_testing: 7.014, usercpu_time_millis_training: 539.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.9589, kappa: 0.8229, kb_relative_information_score: 2378.7393, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9601, predictive_accuracy: 0.9607, prior_entropy: 0.5848, recall: 0.9607, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.5296, scimark_benchmark: 1848.8462, usercpu_time_millis: 679.21, usercpu_time_millis_testing: 12.35, usercpu_time_millis_training: 666.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9697, kappa: 0.8704, kb_relative_information_score: 2634.834, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9706, predictive_accuracy: 0.9707, prior_entropy: 0.5848, recall: 0.9707, relative_absolute_error: 0.1917, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.4441, scimark_benchmark: 1844.6953, usercpu_time_millis: 564.09, usercpu_time_millis_testing: 10.568, usercpu_time_millis_training: 553.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9551, kappa: 0.806, kb_relative_information_score: 2260.0246, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9561, predictive_accuracy: 0.957, prior_entropy: 0.5848, recall: 0.957, relative_absolute_error: 0.3015, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.534, scimark_benchmark: 1842.6679, usercpu_time_millis: 587.705, usercpu_time_millis_testing: 7.159, usercpu_time_millis_training: 580.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9707, kappa: 0.8743, kb_relative_information_score: 2632.0519, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9716, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.1929, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.4447, scimark_benchmark: 1844.2371, usercpu_time_millis: 574.662, usercpu_time_millis_testing: 10.796, usercpu_time_millis_training: 563.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.9551, kappa: 0.806, kb_relative_information_score: 2254.4616, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9561, predictive_accuracy: 0.957, prior_entropy: 0.5848, recall: 0.957, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.5342, scimark_benchmark: 1836.0792, usercpu_time_millis: 635.909, usercpu_time_millis_testing: 6.619, usercpu_time_millis_training: 629.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9551, kappa: 0.806, kb_relative_information_score: 2259.6451, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9561, predictive_accuracy: 0.957, prior_entropy: 0.5848, recall: 0.957, relative_absolute_error: 0.3016, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.5341, scimark_benchmark: 1847.7335, usercpu_time_millis: 572.209, usercpu_time_millis_testing: 7.033, usercpu_time_millis_training: 565.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9667, kappa: 0.8567, kb_relative_information_score: 2534.3101, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9679, predictive_accuracy: 0.968, prior_entropy: 0.5848, recall: 0.968, relative_absolute_error: 0.2309, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.4798, scimark_benchmark: 1850.2875, usercpu_time_millis: 698.268, usercpu_time_millis_testing: 12.169, usercpu_time_millis_training: 686.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.9499, kappa: 0.7811, kb_relative_information_score: 2183.2828, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9522, predictive_accuracy: 0.9527, prior_entropy: 0.5848, recall: 0.9527, relative_absolute_error: 0.3428, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.5814, scimark_benchmark: 1857.1082, usercpu_time_millis: 708.915, usercpu_time_millis_testing: 12.919, usercpu_time_millis_training: 695.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9551, kappa: 0.806, kb_relative_information_score: 2254.84, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9561, predictive_accuracy: 0.957, prior_entropy: 0.5848, recall: 0.957, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.534, scimark_benchmark: 1823.8876, usercpu_time_millis: 592.028, usercpu_time_millis_testing: 6.889, usercpu_time_millis_training: 585.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.9502, kappa: 0.7827, kb_relative_information_score: 2180.0392, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9525, predictive_accuracy: 0.953, prior_entropy: 0.5848, recall: 0.953, relative_absolute_error: 0.3442, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.202, root_relative_squared_error: 0.5821, scimark_benchmark: 1848.8462, usercpu_time_millis: 719.575, usercpu_time_millis_testing: 12.984, usercpu_time_millis_training: 706.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.9554, kappa: 0.8061, kb_relative_information_score: 2262.9328, 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: 0.5571, scimark_benchmark: 1853.9121, usercpu_time_millis: 651.101, usercpu_time_millis_testing: 11.626, usercpu_time_millis_training: 639.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.9489, kappa: 0.7771, kb_relative_information_score: 2171.6879, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9511, predictive_accuracy: 0.9518, prior_entropy: 0.5848, recall: 0.9518, relative_absolute_error: 0.3481, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.5836, scimark_benchmark: 1853.9849, usercpu_time_millis: 713.057, usercpu_time_millis_testing: 12.603, usercpu_time_millis_training: 700.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.9553, kappa: 0.8049, kb_relative_information_score: 2302.8602, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9582, predictive_accuracy: 0.9579, prior_entropy: 0.5848, recall: 0.9579, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.5453, scimark_benchmark: 1796.0572, usercpu_time_millis: 703.989, usercpu_time_millis_testing: 12.447, usercpu_time_millis_training: 691.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9593, kappa: 0.8235, kb_relative_information_score: 2342.6061, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9612, predictive_accuracy: 0.9613, prior_entropy: 0.5848, recall: 0.9613, relative_absolute_error: 0.2964, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.5358, scimark_benchmark: 1839.6694, usercpu_time_millis: 733.23, usercpu_time_millis_testing: 13.222, usercpu_time_millis_training: 720.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9609, kappa: 0.8339, kb_relative_information_score: 2438.2097, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9609, predictive_accuracy: 0.9619, prior_entropy: 0.5848, recall: 0.9619, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.5089, scimark_benchmark: 1832.0698, usercpu_time_millis: 638.875, usercpu_time_millis_testing: 11.029, usercpu_time_millis_training: 627.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9624, kappa: 0.8395, kb_relative_information_score: 2473.9241, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9626, predictive_accuracy: 0.9634, prior_entropy: 0.5848, recall: 0.9634, relative_absolute_error: 0.2398, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.4982, scimark_benchmark: 1855.4813, usercpu_time_millis: 709.924, usercpu_time_millis_testing: 12.434, usercpu_time_millis_training: 697.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9551, kappa: 0.806, kb_relative_information_score: 2253.9674, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9561, predictive_accuracy: 0.957, prior_entropy: 0.5848, recall: 0.957, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.5344, scimark_benchmark: 1816.6404, usercpu_time_millis: 617.42, usercpu_time_millis_testing: 6.666, usercpu_time_millis_training: 610.754,

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