Task
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: 0.9803, f_measure: 0.9765, kappa: 0.9014, kb_relative_information_score: 2691.7646, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9765, predictive_accuracy: 0.9768, prior_entropy: 0.5848, recall: 0.9768, relative_absolute_error: 0.1516, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.4075, scimark_benchmark: 1367.8323, usercpu_time_millis: 6733.422, usercpu_time_millis_testing: 3.567, usercpu_time_millis_training: 6729.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9668, kappa: 0.8612, kb_relative_information_score: 2398.8331, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9667, predictive_accuracy: 0.9671, prior_entropy: 0.5848, recall: 0.9671, relative_absolute_error: 0.2338, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.4767, scimark_benchmark: 1363.0519, usercpu_time_millis: 5286.098, usercpu_time_millis_testing: 1.999, usercpu_time_millis_training: 5284.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9705, kappa: 0.875, kb_relative_information_score: 2586.7042, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9705, predictive_accuracy: 0.971, prior_entropy: 0.5848, recall: 0.971, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.4388, scimark_benchmark: 1361.18, usercpu_time_millis: 3105.365, usercpu_time_millis_testing: 1.507, usercpu_time_millis_training: 3103.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9695, kappa: 0.8707, kb_relative_information_score: 2525.8218, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9696, predictive_accuracy: 0.9701, prior_entropy: 0.5848, recall: 0.9701, relative_absolute_error: 0.21, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.4533, scimark_benchmark: 1362.6064, usercpu_time_millis: 2646.558, usercpu_time_millis_testing: 2.152, usercpu_time_millis_training: 2644.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9577, kappa: 0.8236, kb_relative_information_score: 2259.8388, mean_absolute_error: 0.0715, 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: 0.2967, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.5143, scimark_benchmark: 1365.2972, usercpu_time_millis: 556.859, usercpu_time_millis_testing: 1.646, usercpu_time_millis_training: 555.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9591, kappa: 0.8313, kb_relative_information_score: 2283.1735, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9595, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.2753, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.5298, scimark_benchmark: 1365.0764, usercpu_time_millis: 3256.359, usercpu_time_millis_testing: 1.663, usercpu_time_millis_training: 3254.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -3.0993, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1362.5692, usercpu_time_millis: 5.821, usercpu_time_millis_testing: 1.088, usercpu_time_millis_training: 4.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9595, kappa: 0.832, kb_relative_information_score: 2248.4745, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9596, predictive_accuracy: 0.9594, prior_entropy: 0.5848, recall: 0.9594, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.498, scimark_benchmark: 1367.511, usercpu_time_millis: 1450.049, usercpu_time_millis_testing: 3.181, usercpu_time_millis_training: 1446.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.7953, kb_relative_information_score: -1.6043, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1345.0495, usercpu_time_millis: 6.337, usercpu_time_millis_testing: 1.175, usercpu_time_millis_training: 5.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.971, kappa: 0.8774, kb_relative_information_score: 2583.4712, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9712, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.4388, scimark_benchmark: 1371.8581, usercpu_time_millis: 4946.72, usercpu_time_millis_testing: 2.465, usercpu_time_millis_training: 4944.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9703, kappa: 0.8747, kb_relative_information_score: 2427.7568, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9702, predictive_accuracy: 0.9707, prior_entropy: 0.5848, recall: 0.9707, relative_absolute_error: 0.2269, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.4621, scimark_benchmark: 1365.8546, usercpu_time_millis: 2862.054, usercpu_time_millis_testing: 1.58, usercpu_time_millis_training: 2860.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9742, kappa: 0.891, kb_relative_information_score: 2553.3647, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9743, predictive_accuracy: 0.9747, prior_entropy: 0.5848, recall: 0.9747, relative_absolute_error: 0.2068, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.4269, scimark_benchmark: 1365.1128, usercpu_time_millis: 127.073, usercpu_time_millis_testing: 1.047, usercpu_time_millis_training: 126.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9739, kappa: 0.8896, kb_relative_information_score: 2537.9848, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.974, predictive_accuracy: 0.9744, prior_entropy: 0.5848, recall: 0.9744, relative_absolute_error: 0.2111, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.4298, scimark_benchmark: 1366.2038, usercpu_time_millis: 930.769, usercpu_time_millis_testing: 2.772, usercpu_time_millis_training: 927.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9689, kappa: 0.8698, kb_relative_information_score: 2301.6015, mean_absolute_error: 0.0672, 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: 0.279, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.4781, scimark_benchmark: 1365.1485, usercpu_time_millis: 1130.679, usercpu_time_millis_testing: 3.235, usercpu_time_millis_training: 1127.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9563, kappa: 0.8155, kb_relative_information_score: 2243.6766, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.956, predictive_accuracy: 0.957, prior_entropy: 0.5848, recall: 0.957, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.5161, scimark_benchmark: 1364.8404, usercpu_time_millis: 23.541, usercpu_time_millis_testing: 0.971, usercpu_time_millis_training: 22.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9707, kappa: 0.876, kb_relative_information_score: 2580.4633, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.1869, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.4401, scimark_benchmark: 1361.2848, usercpu_time_millis: 2519.523, usercpu_time_millis_testing: 1.705, usercpu_time_millis_training: 2517.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9598, kappa: 0.8331, kb_relative_information_score: 2252.8589, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9598, predictive_accuracy: 0.9597, prior_entropy: 0.5848, recall: 0.9597, relative_absolute_error: 0.2968, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.4997, scimark_benchmark: 1361.589, usercpu_time_millis: 704.151, usercpu_time_millis_testing: 1.677, usercpu_time_millis_training: 702.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9596, kappa: 0.8326, kb_relative_information_score: 2283.9109, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9597, predictive_accuracy: 0.9594, prior_entropy: 0.5848, recall: 0.9594, relative_absolute_error: 0.2827, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.5202, scimark_benchmark: 1372.54, usercpu_time_millis: 2433.527, usercpu_time_millis_testing: 2.422, usercpu_time_millis_training: 2431.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -0.5135, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1368.3104, usercpu_time_millis: 5.966, usercpu_time_millis_testing: 1.193, usercpu_time_millis_training: 4.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9747, kappa: 0.8928, kb_relative_information_score: 2522.7362, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.975, predictive_accuracy: 0.9753, prior_entropy: 0.5848, recall: 0.9753, relative_absolute_error: 0.2202, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.4332, scimark_benchmark: 1363.2804, usercpu_time_millis: 401.329, usercpu_time_millis_testing: 1.841, usercpu_time_millis_training: 399.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9755, kappa: 0.8966, kb_relative_information_score: 2624.6987, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9756, predictive_accuracy: 0.9759, prior_entropy: 0.5848, recall: 0.9759, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.4095, scimark_benchmark: 1362.9964, usercpu_time_millis: 138.235, usercpu_time_millis_testing: 0.95, usercpu_time_millis_training: 137.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9585, kappa: 0.8291, kb_relative_information_score: 2285.5204, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9589, predictive_accuracy: 0.9582, prior_entropy: 0.5848, recall: 0.9582, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.5266, scimark_benchmark: 1361.6312, usercpu_time_millis: 1145.278, usercpu_time_millis_testing: 1.242, usercpu_time_millis_training: 1144.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9666, kappa: 0.8603, kb_relative_information_score: 2368.6538, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9664, predictive_accuracy: 0.9668, prior_entropy: 0.5848, recall: 0.9668, relative_absolute_error: 0.2472, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.4749, scimark_benchmark: 1362.5855, usercpu_time_millis: 152.081, usercpu_time_millis_testing: 0.995, usercpu_time_millis_training: 151.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9766, kappa: 0.9009, kb_relative_information_score: 2596.8792, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9769, predictive_accuracy: 0.9771, prior_entropy: 0.5848, recall: 0.9771, relative_absolute_error: 0.2006, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.4061, scimark_benchmark: 1364.6943, usercpu_time_millis: 522.34, usercpu_time_millis_testing: 3.903, usercpu_time_millis_training: 518.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9759, kappa: 0.8988, kb_relative_information_score: 2690.7362, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9759, predictive_accuracy: 0.9762, prior_entropy: 0.5848, recall: 0.9762, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.4, scimark_benchmark: 1370.4688, usercpu_time_millis: 1675.566, usercpu_time_millis_testing: 2.44, usercpu_time_millis_training: 1673.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9756, kappa: 0.8974, kb_relative_information_score: 2663.3737, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9756, predictive_accuracy: 0.9759, prior_entropy: 0.5848, recall: 0.9759, relative_absolute_error: 0.1586, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.4142, scimark_benchmark: 1366.3724, usercpu_time_millis: 1176.311, usercpu_time_millis_testing: 1.18, usercpu_time_millis_training: 1175.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9596, kappa: 0.8332, kb_relative_information_score: 2287.156, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9599, predictive_accuracy: 0.9594, prior_entropy: 0.5848, recall: 0.9594, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.5194, scimark_benchmark: 1371.2919, usercpu_time_millis: 1139.453, usercpu_time_millis_testing: 1.288, usercpu_time_millis_training: 1138.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9579, kappa: 0.8241, kb_relative_information_score: 2312.0497, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9577, predictive_accuracy: 0.9582, prior_entropy: 0.5848, recall: 0.9582, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.4937, scimark_benchmark: 1359.9918, usercpu_time_millis: 133.368, usercpu_time_millis_testing: 0.92, usercpu_time_millis_training: 132.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9673, kappa: 0.8613, kb_relative_information_score: 2544.646, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9673, predictive_accuracy: 0.968, prior_entropy: 0.5848, recall: 0.968, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.4427, scimark_benchmark: 1370.5425, usercpu_time_millis: 563.374, usercpu_time_millis_testing: 1.354, usercpu_time_millis_training: 562.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.975, kappa: 0.8938, kb_relative_information_score: 2535.4561, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9754, predictive_accuracy: 0.9756, prior_entropy: 0.5848, recall: 0.9756, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.4235, scimark_benchmark: 1372.9361, usercpu_time_millis: 484.595, usercpu_time_millis_testing: 4.382, usercpu_time_millis_training: 480.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9708, kappa: 0.8762, kb_relative_information_score: 2567.5843, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.1898, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.4442, scimark_benchmark: 1370.1308, usercpu_time_millis: 326.675, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 325.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7953, kb_relative_information_score: -9.935, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1366.6948, usercpu_time_millis: 3.768, usercpu_time_millis_testing: 0.911, usercpu_time_millis_training: 2.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9723, kappa: 0.8829, kb_relative_information_score: 2598.1511, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9724, predictive_accuracy: 0.9729, prior_entropy: 0.5848, recall: 0.9729, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.4341, scimark_benchmark: 1372.7798, usercpu_time_millis: 163.822, usercpu_time_millis_testing: 1.002, usercpu_time_millis_training: 162.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9591, kappa: 0.8313, kb_relative_information_score: 2282.4075, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9595, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.5309, scimark_benchmark: 1693.5671, usercpu_time_millis: 9091.766, usercpu_time_millis_testing: 3.048, usercpu_time_millis_training: 9088.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9639, kappa: 0.8494, kb_relative_information_score: 2365.6745, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9638, predictive_accuracy: 0.964, prior_entropy: 0.5848, recall: 0.964, relative_absolute_error: 0.2458, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.4893, scimark_benchmark: 1803.0863, usercpu_time_millis: 7670.976, usercpu_time_millis_testing: 2.378, usercpu_time_millis_training: 7668.598,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -0.7736, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1819.6282, usercpu_time_millis: 6.493, usercpu_time_millis_testing: 1.449, usercpu_time_millis_training: 5.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9592, kappa: 0.8325, kb_relative_information_score: 2303.8824, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9598, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.2678, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.4989, scimark_benchmark: 1487.7659, usercpu_time_millis: 1189.671, usercpu_time_millis_testing: 1.434, usercpu_time_millis_training: 1188.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.974, kappa: 0.8908, kb_relative_information_score: 2690.1036, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.974, predictive_accuracy: 0.9744, prior_entropy: 0.5848, recall: 0.9744, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.42, scimark_benchmark: 1754.3964, usercpu_time_millis: 5152.406, usercpu_time_millis_testing: 2.5, usercpu_time_millis_training: 5149.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9705, kappa: 0.875, kb_relative_information_score: 2577.5546, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9705, predictive_accuracy: 0.971, prior_entropy: 0.5848, recall: 0.971, relative_absolute_error: 0.1865, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.4441, scimark_benchmark: 1875.0568, usercpu_time_millis: 1143.648, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 1142.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.9576, kappa: 0.8255, kb_relative_information_score: 2281.8924, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9581, predictive_accuracy: 0.9573, prior_entropy: 0.5848, recall: 0.9573, relative_absolute_error: 0.2748, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.5374, scimark_benchmark: 1873.2032, usercpu_time_millis: 1134.728, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 1133.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9726, kappa: 0.8839, kb_relative_information_score: 2568.7738, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9728, predictive_accuracy: 0.9732, prior_entropy: 0.5848, recall: 0.9732, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.4362, scimark_benchmark: 1720.0398, usercpu_time_millis: 751.081, usercpu_time_millis_testing: 1.095, usercpu_time_millis_training: 749.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9727, kappa: 0.8845, kb_relative_information_score: 2585.6422, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9727, predictive_accuracy: 0.9732, prior_entropy: 0.5848, recall: 0.9732, relative_absolute_error: 0.1898, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.4325, scimark_benchmark: 1879.8211, usercpu_time_millis: 637.717, usercpu_time_millis_testing: 0.93, usercpu_time_millis_training: 636.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9757, kappa: 0.8973, kb_relative_information_score: 2592.8397, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9759, predictive_accuracy: 0.9762, prior_entropy: 0.5848, recall: 0.9762, relative_absolute_error: 0.1986, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.4111, scimark_benchmark: 1776.283, usercpu_time_millis: 328.364, usercpu_time_millis_testing: 2.172, usercpu_time_millis_training: 326.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.7953, kb_relative_information_score: -1.0762, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1891.63, usercpu_time_millis: 6.896, usercpu_time_millis_testing: 1.161, usercpu_time_millis_training: 5.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3164, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1699.496, usercpu_time_millis: 6.356, usercpu_time_millis_testing: 1.126, usercpu_time_millis_training: 5.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -0.2995, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1891.1867, usercpu_time_millis: 5.819, usercpu_time_millis_testing: 1.03, usercpu_time_millis_training: 4.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9762, kappa: 0.9, kb_relative_information_score: 2674.7496, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9762, predictive_accuracy: 0.9765, prior_entropy: 0.5848, recall: 0.9765, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4087, scimark_benchmark: 1703.8421, usercpu_time_millis: 6510.281, usercpu_time_millis_testing: 3.589, usercpu_time_millis_training: 6506.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9759, kappa: 0.8988, kb_relative_information_score: 2672.2589, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9759, predictive_accuracy: 0.9762, prior_entropy: 0.5848, recall: 0.9762, relative_absolute_error: 0.1582, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.142, root_relative_squared_error: 0.4093, scimark_benchmark: 1691.8179, usercpu_time_millis: 3840.778, usercpu_time_millis_testing: 2.858, usercpu_time_millis_training: 3837.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9739, kappa: 0.891, kb_relative_information_score: 2720.8384, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9738, predictive_accuracy: 0.9741, prior_entropy: 0.5848, recall: 0.9741, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.4116, scimark_benchmark: 1722.6005, usercpu_time_millis: 3444.659, usercpu_time_millis_testing: 4.074, usercpu_time_millis_training: 3440.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9766, kappa: 0.9016, kb_relative_information_score: 2685.4123, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9765, predictive_accuracy: 0.9768, prior_entropy: 0.5848, recall: 0.9768, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.4002, scimark_benchmark: 1701.3087, usercpu_time_millis: 3083.275, usercpu_time_millis_testing: 4.408, usercpu_time_millis_training: 3078.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9723, kappa: 0.8829, kb_relative_information_score: 2599.5441, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9724, predictive_accuracy: 0.9729, prior_entropy: 0.5848, recall: 0.9729, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.4315, scimark_benchmark: 1716.1466, usercpu_time_millis: 3007.88, usercpu_time_millis_testing: 2.649, usercpu_time_millis_training: 3005.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9711, kappa: 0.8779, kb_relative_information_score: 2496.1118, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9711, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.4523, scimark_benchmark: 1750.0489, usercpu_time_millis: 2944.687, usercpu_time_millis_testing: 1.853, usercpu_time_millis_training: 2942.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9723, kappa: 0.8829, kb_relative_information_score: 2508.08, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9724, predictive_accuracy: 0.9729, prior_entropy: 0.5848, recall: 0.9729, relative_absolute_error: 0.2126, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.4412, scimark_benchmark: 1757.8344, usercpu_time_millis: 2657.313, usercpu_time_millis_testing: 3.236, usercpu_time_millis_training: 2654.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.976, kappa: 0.8994, kb_relative_information_score: 2700.9143, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9759, predictive_accuracy: 0.9762, prior_entropy: 0.5848, recall: 0.9762, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.4071, scimark_benchmark: 1821.2966, usercpu_time_millis: 2498.692, usercpu_time_millis_testing: 3.141, usercpu_time_millis_training: 2495.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.974, kappa: 0.8904, kb_relative_information_score: 2642.5552, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.974, predictive_accuracy: 0.9744, prior_entropy: 0.5848, recall: 0.9744, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.4156, scimark_benchmark: 1738.3274, usercpu_time_millis: 2343.114, usercpu_time_millis_testing: 2.443, usercpu_time_millis_training: 2340.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9671, kappa: 0.8621, kb_relative_information_score: 2391.1256, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9669, predictive_accuracy: 0.9674, prior_entropy: 0.5848, recall: 0.9674, relative_absolute_error: 0.2377, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.4736, scimark_benchmark: 1731.6389, usercpu_time_millis: 2139.664, usercpu_time_millis_testing: 1.659, usercpu_time_millis_training: 2138.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9762, kappa: 0.9, kb_relative_information_score: 2683.412, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9762, predictive_accuracy: 0.9765, prior_entropy: 0.5848, recall: 0.9765, relative_absolute_error: 0.1536, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.4096, scimark_benchmark: 1723.8599, usercpu_time_millis: 1777.215, usercpu_time_millis_testing: 1.623, usercpu_time_millis_training: 1775.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9588, kappa: 0.8302, kb_relative_information_score: 2278.2687, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9592, predictive_accuracy: 0.9585, prior_entropy: 0.5848, recall: 0.9585, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.185, root_relative_squared_error: 0.5333, scimark_benchmark: 1732.0988, usercpu_time_millis: 4378.873, usercpu_time_millis_testing: 1.947, usercpu_time_millis_training: 4376.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9602, kappa: 0.8354, kb_relative_information_score: 2271.1821, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9604, predictive_accuracy: 0.96, prior_entropy: 0.5848, recall: 0.96, relative_absolute_error: 0.2855, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.5046, scimark_benchmark: 1718.6283, usercpu_time_millis: 1536.308, usercpu_time_millis_testing: 2.055, usercpu_time_millis_training: 1534.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9717, kappa: 0.8803, kb_relative_information_score: 2549.4924, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9718, predictive_accuracy: 0.9722, prior_entropy: 0.5848, recall: 0.9722, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.4483, scimark_benchmark: 1731.6389, usercpu_time_millis: 1261.565, usercpu_time_millis_testing: 1.039, usercpu_time_millis_training: 1260.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9747, kappa: 0.8938, kb_relative_information_score: 2671.0666, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9746, predictive_accuracy: 0.975, prior_entropy: 0.5848, recall: 0.975, relative_absolute_error: 0.1514, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.4234, scimark_benchmark: 1731.9625, usercpu_time_millis: 772.757, usercpu_time_millis_testing: 0.708, usercpu_time_millis_training: 772.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9638, kappa: 0.8486, kb_relative_information_score: 2219.2155, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9636, predictive_accuracy: 0.964, prior_entropy: 0.5848, recall: 0.964, relative_absolute_error: 0.3116, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.4961, scimark_benchmark: 1735.2649, usercpu_time_millis: 572.186, usercpu_time_millis_testing: 2.076, usercpu_time_millis_training: 570.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9623, kappa: 0.8435, kb_relative_information_score: 2290.9553, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9623, predictive_accuracy: 0.9622, prior_entropy: 0.5848, recall: 0.9622, relative_absolute_error: 0.2802, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.4866, scimark_benchmark: 1735.0748, usercpu_time_millis: 531.095, usercpu_time_millis_testing: 1.861, usercpu_time_millis_training: 529.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.957, kappa: 0.82, kb_relative_information_score: 2255.311, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9568, predictive_accuracy: 0.9573, prior_entropy: 0.5848, recall: 0.9573, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.5145, scimark_benchmark: 1728.0111, usercpu_time_millis: 352.986, usercpu_time_millis_testing: 1.276, usercpu_time_millis_training: 351.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9608, kappa: 0.8379, kb_relative_information_score: 2320.4101, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.961, predictive_accuracy: 0.9607, prior_entropy: 0.5848, recall: 0.9607, relative_absolute_error: 0.2635, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.4878, scimark_benchmark: 739.6818, usercpu_time_millis: 249.048, usercpu_time_millis_testing: 1.461, usercpu_time_millis_training: 247.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9709, kappa: 0.8762, kb_relative_information_score: 2254.8406, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9713, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.3064, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.4788, scimark_benchmark: 1698.0289, usercpu_time_millis: 247.951, usercpu_time_millis_testing: 2.364, usercpu_time_millis_training: 245.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9729, kappa: 0.8839, kb_relative_information_score: 2451.2177, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 0.5848, recall: 0.9738, relative_absolute_error: 0.2594, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.4502, scimark_benchmark: 1718.7337, usercpu_time_millis: 209.262, usercpu_time_millis_testing: 3.435, usercpu_time_millis_training: 205.827,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs