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: 0.965, f_measure: 0.9591, kappa: 0.8313, kb_relative_information_score: 2284.1517, mean_absolute_error: 0.0664, 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: 0.2756, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.5279, scimark_benchmark: 1711.207, usercpu_time_millis: 6825.197, usercpu_time_millis_testing: 2.474, usercpu_time_millis_training: 6822.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9708, kappa: 0.8762, kb_relative_information_score: 2573.5112, mean_absolute_error: 0.0452, 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: 0.1875, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.4452, scimark_benchmark: 1839.7252, usercpu_time_millis: 5094.85, usercpu_time_millis_testing: 2.087, usercpu_time_millis_training: 5092.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9591, kappa: 0.8313, kb_relative_information_score: 2289.2414, mean_absolute_error: 0.0661, 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: 0.2745, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.5214, scimark_benchmark: 1822.7083, usercpu_time_millis: 3671.518, usercpu_time_millis_testing: 2.082, usercpu_time_millis_training: 3669.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9591, kappa: 0.8313, kb_relative_information_score: 2290.4264, mean_absolute_error: 0.0659, 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: 0.2733, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.5155, scimark_benchmark: 1740.9797, usercpu_time_millis: 3496.941, usercpu_time_millis_testing: 2.135, usercpu_time_millis_training: 3494.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9708, kappa: 0.8764, kb_relative_information_score: 2511.6135, mean_absolute_error: 0.0513, 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: 0.2131, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.4515, scimark_benchmark: 1719.5892, usercpu_time_millis: 2087.143, usercpu_time_millis_testing: 2.092, usercpu_time_millis_training: 2085.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9701, kappa: 0.8736, kb_relative_information_score: 2551.7034, mean_absolute_error: 0.0487, 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: 0.2021, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.4473, scimark_benchmark: 1826.608, usercpu_time_millis: 2532.804, usercpu_time_millis_testing: 2.155, usercpu_time_millis_training: 2530.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9768, kappa: 0.9024, kb_relative_information_score: 2677.9904, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9768, predictive_accuracy: 0.9771, prior_entropy: 0.5848, recall: 0.9771, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.4072, scimark_benchmark: 1738.052, usercpu_time_millis: 2124.261, usercpu_time_millis_testing: 1.995, usercpu_time_millis_training: 2122.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.977, kappa: 0.9027, kb_relative_information_score: 2625.9117, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9772, predictive_accuracy: 0.9774, prior_entropy: 0.5848, recall: 0.9774, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.4039, scimark_benchmark: 1740.4911, usercpu_time_millis: 925.873, usercpu_time_millis_testing: 4.753, usercpu_time_millis_training: 921.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.972, kappa: 0.8812, kb_relative_information_score: 2539.4443, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9721, predictive_accuracy: 0.9726, prior_entropy: 0.5848, recall: 0.9726, relative_absolute_error: 0.2006, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.4373, scimark_benchmark: 1730.2665, usercpu_time_millis: 1521.331, usercpu_time_millis_testing: 1.735, usercpu_time_millis_training: 1519.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9562, kappa: 0.8148, kb_relative_information_score: 2208.9291, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9559, predictive_accuracy: 0.957, prior_entropy: 0.5848, recall: 0.957, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.5212, scimark_benchmark: 1792.4415, usercpu_time_millis: 212.425, usercpu_time_millis_testing: 1.392, usercpu_time_millis_training: 211.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9622, kappa: 0.8418, kb_relative_information_score: 2242.5867, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.962, predictive_accuracy: 0.9625, prior_entropy: 0.5848, recall: 0.9625, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.5053, scimark_benchmark: 1713.9419, usercpu_time_millis: 9.408, usercpu_time_millis_testing: 0.564, usercpu_time_millis_training: 8.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9571, kappa: 0.8214, kb_relative_information_score: 2304.4402, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.957, predictive_accuracy: 0.9573, prior_entropy: 0.5848, recall: 0.9573, relative_absolute_error: 0.2777, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.5088, scimark_benchmark: 1854.0399, usercpu_time_millis: 300.131, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 299.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.963, kappa: 0.8425, kb_relative_information_score: 2385.9227, mean_absolute_error: 0.0611, 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: 0.2535, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.489, scimark_benchmark: 1734.6706, usercpu_time_millis: 181.153, usercpu_time_millis_testing: 0.821, usercpu_time_millis_training: 180.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9749, kappa: 0.894, kb_relative_information_score: 2642.7191, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9749, predictive_accuracy: 0.9753, prior_entropy: 0.5848, recall: 0.9753, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.4057, scimark_benchmark: 1817.886, usercpu_time_millis: 134.94, usercpu_time_millis_testing: 0.803, usercpu_time_millis_training: 134.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9714, kappa: 0.8793, kb_relative_information_score: 2460.8295, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9715, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.2177, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.4539, scimark_benchmark: 1781.3366, usercpu_time_millis: 5955.315, usercpu_time_millis_testing: 2.814, usercpu_time_millis_training: 5952.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9591, kappa: 0.8316, kb_relative_information_score: 2298.8371, mean_absolute_error: 0.0648, 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: 0.269, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.179, root_relative_squared_error: 0.516, scimark_benchmark: 1730.387, usercpu_time_millis: 1627.09, usercpu_time_millis_testing: 1.28, usercpu_time_millis_training: 1625.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9765, kappa: 0.9012, kb_relative_information_score: 2674.3776, mean_absolute_error: 0.0382, 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: 0.1586, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.4061, scimark_benchmark: 1743.8481, usercpu_time_millis: 1442.274, usercpu_time_millis_testing: 1.772, usercpu_time_millis_training: 1440.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9717, kappa: 0.8805, kb_relative_information_score: 2510.2734, mean_absolute_error: 0.0509, 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: 0.2113, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.4392, scimark_benchmark: 1831.6625, usercpu_time_millis: 1324.5, usercpu_time_millis_testing: 2.48, usercpu_time_millis_training: 1322.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9595, kappa: 0.8317, kb_relative_information_score: 2279.9908, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9595, predictive_accuracy: 0.9594, prior_entropy: 0.5848, recall: 0.9594, relative_absolute_error: 0.2845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5044, scimark_benchmark: 1810.5204, usercpu_time_millis: 393.813, usercpu_time_millis_testing: 1.079, usercpu_time_millis_training: 392.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9734, kappa: 0.8867, kb_relative_information_score: 2527.0267, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9739, predictive_accuracy: 0.9741, prior_entropy: 0.5848, recall: 0.9741, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.15, root_relative_squared_error: 0.4322, scimark_benchmark: 1822.1201, usercpu_time_millis: 224.048, usercpu_time_millis_testing: 2.169, usercpu_time_millis_training: 221.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9701, kappa: 0.8736, kb_relative_information_score: 2252.9169, mean_absolute_error: 0.0728, 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: 0.3023, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.4855, scimark_benchmark: 1751.433, usercpu_time_millis: 204.672, usercpu_time_millis_testing: 1.083, usercpu_time_millis_training: 203.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9649, kappa: 0.8505, kb_relative_information_score: 2469.1327, mean_absolute_error: 0.0565, 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: 0.2343, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.4649, scimark_benchmark: 1840.3077, usercpu_time_millis: 153.219, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 152.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9753, kappa: 0.8947, kb_relative_information_score: 2523.3846, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9758, predictive_accuracy: 0.9759, prior_entropy: 0.5848, recall: 0.9759, relative_absolute_error: 0.2297, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.4285, scimark_benchmark: 1731.3503, usercpu_time_millis: 100.546, usercpu_time_millis_testing: 1.605, usercpu_time_millis_training: 98.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.7953, kb_relative_information_score: -12.9077, mean_absolute_error: 0.2411, 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: 1.0005, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1811.0209, usercpu_time_millis: 3.647, usercpu_time_millis_testing: 0.609, usercpu_time_millis_training: 3.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9727, kappa: 0.8848, kb_relative_information_score: 2628.7622, mean_absolute_error: 0.0413, 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: 0.1716, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.425, scimark_benchmark: 1764.4669, usercpu_time_millis: 3810.162, usercpu_time_millis_testing: 2.049, usercpu_time_millis_training: 3808.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9576, kappa: 0.8235, kb_relative_information_score: 2273.219, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9575, predictive_accuracy: 0.9576, prior_entropy: 0.5848, recall: 0.9576, relative_absolute_error: 0.289, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.5176, scimark_benchmark: 1779.4265, usercpu_time_millis: 682.053, usercpu_time_millis_testing: 1.235, usercpu_time_millis_training: 680.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9599, kappa: 0.8343, kb_relative_information_score: 2288.1318, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9601, predictive_accuracy: 0.9597, prior_entropy: 0.5848, recall: 0.9597, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.5157, scimark_benchmark: 2120.3977, usercpu_time_millis: 211.01, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 210.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9051, kappa: 0.5605, kb_relative_information_score: 1436.8344, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9247, predictive_accuracy: 0.9192, prior_entropy: 0.5848, recall: 0.9192, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.705, scimark_benchmark: 1820.0606, usercpu_time_millis: 19.069, usercpu_time_millis_testing: 1.603, usercpu_time_millis_training: 17.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7953, kb_relative_information_score: -1.158, 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: 0.9992, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1816.6315, usercpu_time_millis: 4.733, usercpu_time_millis_testing: 0.794, usercpu_time_millis_training: 3.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9583, kappa: 0.828, kb_relative_information_score: 2289.6637, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9587, predictive_accuracy: 0.9579, prior_entropy: 0.5848, recall: 0.9579, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.182, root_relative_squared_error: 0.5246, scimark_benchmark: 1749.1898, usercpu_time_millis: 2901.86, usercpu_time_millis_testing: 1.835, usercpu_time_millis_training: 2900.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.969, kappa: 0.8693, kb_relative_information_score: 2582.93, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9689, predictive_accuracy: 0.9695, prior_entropy: 0.5848, recall: 0.9695, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.4668, scimark_benchmark: 1839.6597, usercpu_time_millis: 2480.434, usercpu_time_millis_testing: 1.217, usercpu_time_millis_training: 2479.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9708, kappa: 0.8762, kb_relative_information_score: 2583.4527, mean_absolute_error: 0.0465, 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: 0.193, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.4354, scimark_benchmark: 1828.1532, usercpu_time_millis: 1603.487, usercpu_time_millis_testing: 1.753, usercpu_time_millis_training: 1601.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9708, kappa: 0.8764, kb_relative_information_score: 2521.4044, mean_absolute_error: 0.0496, 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: 0.2057, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.155, root_relative_squared_error: 0.4467, scimark_benchmark: 1829.3793, usercpu_time_millis: 3439.794, usercpu_time_millis_testing: 1.937, usercpu_time_millis_training: 3437.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9765, kappa: 0.9012, kb_relative_information_score: 2687.2237, mean_absolute_error: 0.0362, 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: 0.1504, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.4139, scimark_benchmark: 2130.7066, usercpu_time_millis: 2832.361, usercpu_time_millis_testing: 1.503, usercpu_time_millis_training: 2830.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9772, kappa: 0.9042, kb_relative_information_score: 2676.9527, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9771, predictive_accuracy: 0.9774, prior_entropy: 0.5848, recall: 0.9774, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.4013, scimark_benchmark: 1831.6625, usercpu_time_millis: 1258.832, usercpu_time_millis_testing: 2.141, usercpu_time_millis_training: 1256.691,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9682, kappa: 0.8675, kb_relative_information_score: 2700.562, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9681, predictive_accuracy: 0.9683, prior_entropy: 0.5848, recall: 0.9683, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.4656, scimark_benchmark: 1827.2523, usercpu_time_millis: 8277.804, usercpu_time_millis_testing: 2.849, usercpu_time_millis_training: 8274.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9692, kappa: 0.87, kb_relative_information_score: 2571.7945, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9692, predictive_accuracy: 0.9698, prior_entropy: 0.5848, recall: 0.9698, relative_absolute_error: 0.1874, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.4514, scimark_benchmark: 1823.6581, usercpu_time_millis: 8997.83, usercpu_time_millis_testing: 2.945, usercpu_time_millis_training: 8994.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9698, kappa: 0.8719, kb_relative_information_score: 2523.9585, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9699, predictive_accuracy: 0.9704, prior_entropy: 0.5848, recall: 0.9704, relative_absolute_error: 0.2096, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.4538, scimark_benchmark: 1833.9816, usercpu_time_millis: 787.343, usercpu_time_millis_testing: 1.16, usercpu_time_millis_training: 786.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9591, kappa: 0.8313, kb_relative_information_score: 2284.053, mean_absolute_error: 0.0664, 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: 0.2757, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.183, root_relative_squared_error: 0.5274, scimark_benchmark: 1828.7081, usercpu_time_millis: 2586.891, usercpu_time_millis_testing: 1.431, usercpu_time_millis_training: 2585.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9705, kappa: 0.875, kb_relative_information_score: 2578.6795, mean_absolute_error: 0.0448, 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: 0.1859, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.4417, scimark_benchmark: 1828.6642, usercpu_time_millis: 4663.124, usercpu_time_millis_testing: 2.23, usercpu_time_millis_training: 4660.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.799, kappa: 0.0186, kb_relative_information_score: 715.0673, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8807, predictive_accuracy: 0.8615, prior_entropy: 0.5848, recall: 0.8615, relative_absolute_error: 0.8677, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.8759, scimark_benchmark: 1780.1336, usercpu_time_millis: 3.948, usercpu_time_millis_testing: 0.604, usercpu_time_millis_training: 3.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9744, kappa: 0.8922, kb_relative_information_score: 2650.2954, mean_absolute_error: 0.0403, 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: 0.1674, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.4131, scimark_benchmark: 1828.6072, usercpu_time_millis: 2376.747, usercpu_time_millis_testing: 2.255, usercpu_time_millis_training: 2374.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9684, kappa: 0.8664, kb_relative_information_score: 2574.6807, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9683, predictive_accuracy: 0.9689, prior_entropy: 0.5848, recall: 0.9689, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.163, root_relative_squared_error: 0.4698, scimark_benchmark: 1710.3034, usercpu_time_millis: 1611.936, usercpu_time_millis_testing: 1.091, usercpu_time_millis_training: 1610.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9735, kappa: 0.8879, kb_relative_information_score: 2572.3384, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9737, predictive_accuracy: 0.9741, prior_entropy: 0.5848, recall: 0.9741, relative_absolute_error: 0.1954, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.434, scimark_benchmark: 1709.5279, usercpu_time_millis: 1576.634, usercpu_time_millis_testing: 2.291, usercpu_time_millis_training: 1574.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9556, kappa: 0.8145, kb_relative_information_score: 2276.432, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9554, predictive_accuracy: 0.9558, prior_entropy: 0.5848, recall: 0.9558, relative_absolute_error: 0.2877, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.5255, scimark_benchmark: 1707.6616, usercpu_time_millis: 2152.602, usercpu_time_millis_testing: 2.158, usercpu_time_millis_training: 2150.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9727, kappa: 0.8845, kb_relative_information_score: 2619.5575, mean_absolute_error: 0.0433, 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: 0.1798, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.4176, scimark_benchmark: 1824.6719, usercpu_time_millis: 929.572, usercpu_time_millis_testing: 1.653, usercpu_time_millis_training: 927.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9722, kappa: 0.883, kb_relative_information_score: 2678.3847, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9721, predictive_accuracy: 0.9726, prior_entropy: 0.5848, recall: 0.9726, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.4456, scimark_benchmark: 1828.1532, usercpu_time_millis: 1607.688, usercpu_time_millis_testing: 0.877, usercpu_time_millis_training: 1606.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9746, kappa: 0.8932, kb_relative_information_score: 2677.7337, mean_absolute_error: 0.0382, 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: 0.1584, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.4148, scimark_benchmark: 1830.2533, usercpu_time_millis: 4271.335, usercpu_time_millis_testing: 3.04, usercpu_time_millis_training: 4268.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9739, kappa: 0.8894, kb_relative_information_score: 2541.0043, mean_absolute_error: 0.0504, 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: 0.2092, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.4274, scimark_benchmark: 1719.9982, usercpu_time_millis: 486.967, usercpu_time_millis_testing: 1.974, usercpu_time_millis_training: 484.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9718, kappa: 0.8807, kb_relative_information_score: 2626.2124, mean_absolute_error: 0.0427, 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: 0.1771, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.422, scimark_benchmark: 1811.5506, usercpu_time_millis: 304.017, usercpu_time_millis_testing: 0.72, usercpu_time_millis_training: 303.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9714, kappa: 0.8806, kb_relative_information_score: 2694.3178, mean_absolute_error: 0.0344, 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: 0.1426, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.4447, scimark_benchmark: 1831.5961, usercpu_time_millis: 543.482, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 542.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9591, kappa: 0.8313, kb_relative_information_score: 2283.9655, mean_absolute_error: 0.067, 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: 0.278, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.5105, scimark_benchmark: 1846.3057, usercpu_time_millis: 1220.662, usercpu_time_millis_testing: 1.416, usercpu_time_millis_training: 1219.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9726, kappa: 0.8837, kb_relative_information_score: 2504.1208, mean_absolute_error: 0.0517, 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: 0.2145, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.4424, scimark_benchmark: 1738.8492, usercpu_time_millis: 5.661, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 5.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9697, kappa: 0.8714, kb_relative_information_score: 2554.5038, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9699, predictive_accuracy: 0.9704, prior_entropy: 0.5848, recall: 0.9704, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.153, root_relative_squared_error: 0.4409, scimark_benchmark: 1825.639, usercpu_time_millis: 138.253, usercpu_time_millis_testing: 0.628, usercpu_time_millis_training: 137.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9708, kappa: 0.8764, kb_relative_information_score: 2564.5513, mean_absolute_error: 0.0461, 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: 0.1912, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.444, scimark_benchmark: 1733.2059, usercpu_time_millis: 3024.596, usercpu_time_millis_testing: 1.94, usercpu_time_millis_training: 3022.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9563, kappa: 0.818, kb_relative_information_score: 2266.8484, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9562, predictive_accuracy: 0.9564, prior_entropy: 0.5848, recall: 0.9564, relative_absolute_error: 0.306, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.5288, scimark_benchmark: 1817.331, usercpu_time_millis: 1523.924, usercpu_time_millis_testing: 1.854, usercpu_time_millis_training: 1522.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9729, kappa: 0.8853, kb_relative_information_score: 2617.2281, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9731, predictive_accuracy: 0.9735, prior_entropy: 0.5848, recall: 0.9735, relative_absolute_error: 0.1797, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.146, root_relative_squared_error: 0.4208, scimark_benchmark: 1733.2772, usercpu_time_millis: 2472.538, usercpu_time_millis_testing: 2.652, usercpu_time_millis_training: 2469.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9708, kappa: 0.8762, kb_relative_information_score: 2561.7903, mean_absolute_error: 0.0464, 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: 0.1924, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.4454, scimark_benchmark: 1825.7357, usercpu_time_millis: 2335.178, usercpu_time_millis_testing: 1.352, usercpu_time_millis_training: 2333.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9711, kappa: 0.8776, kb_relative_information_score: 2601.4486, mean_absolute_error: 0.0435, 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: 0.1806, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.4341, scimark_benchmark: 1766.8465, usercpu_time_millis: 1090.831, usercpu_time_millis_testing: 1.476, usercpu_time_millis_training: 1089.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9735, kappa: 0.8888, kb_relative_information_score: 2700.2934, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9734, predictive_accuracy: 0.9738, prior_entropy: 0.5848, recall: 0.9738, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.4356, scimark_benchmark: 1755.3526, usercpu_time_millis: 8750.938, usercpu_time_millis_testing: 3.291, usercpu_time_millis_training: 8747.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9714, kappa: 0.8791, kb_relative_information_score: 2516.2967, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9715, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.4465, scimark_benchmark: 1836.6789, usercpu_time_millis: 366.234, usercpu_time_millis_testing: 0.92, usercpu_time_millis_training: 365.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -1.0391, 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: 1831.6625, usercpu_time_millis: 4.628, usercpu_time_millis_testing: 0.814, usercpu_time_millis_training: 3.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9692, kappa: 0.87, kb_relative_information_score: 2567.7698, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9692, predictive_accuracy: 0.9698, prior_entropy: 0.5848, recall: 0.9698, relative_absolute_error: 0.184, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.4659, scimark_benchmark: 1770.0539, usercpu_time_millis: 8060.339, usercpu_time_millis_testing: 2.488, usercpu_time_millis_training: 8057.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9605, kappa: 0.8365, kb_relative_information_score: 2269.4867, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9607, predictive_accuracy: 0.9604, prior_entropy: 0.5848, recall: 0.9604, relative_absolute_error: 0.2876, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.4947, scimark_benchmark: 1795.6312, usercpu_time_millis: 807.249, usercpu_time_millis_testing: 1.945, usercpu_time_millis_training: 805.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9593, kappa: 0.8315, kb_relative_information_score: 2324.4271, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9595, predictive_accuracy: 0.9591, prior_entropy: 0.5848, recall: 0.9591, relative_absolute_error: 0.2623, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.4934, scimark_benchmark: 1718.8117, usercpu_time_millis: 2074.427, usercpu_time_millis_testing: 2.166, usercpu_time_millis_training: 2072.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9753, kappa: 0.8964, kb_relative_information_score: 2686.413, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9753, predictive_accuracy: 0.9756, prior_entropy: 0.5848, recall: 0.9756, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.4123, scimark_benchmark: 1835.7111, usercpu_time_millis: 2325.819, usercpu_time_millis_testing: 1.891, usercpu_time_millis_training: 2323.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9592, kappa: 0.8312, kb_relative_information_score: 2282.9996, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9594, predictive_accuracy: 0.9591, prior_entropy: 0.5848, recall: 0.9591, relative_absolute_error: 0.2818, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.5228, scimark_benchmark: 1682.6587, usercpu_time_millis: 855.972, usercpu_time_millis_testing: 1.096, usercpu_time_millis_training: 854.876,

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