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: 0.9758, f_measure: 0.9684, kappa: 0.8644, kb_relative_information_score: 2178.2646, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9694, predictive_accuracy: 0.9695, prior_entropy: 0.5848, recall: 0.9695, relative_absolute_error: 0.3485, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.4969, scimark_benchmark: 1849.7405, usercpu_time_millis: 81.396, usercpu_time_millis_testing: 1.181, usercpu_time_millis_training: 80.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.965, kappa: 0.854, kb_relative_information_score: 2358.5275, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9649, predictive_accuracy: 0.9652, prior_entropy: 0.5848, recall: 0.9652, relative_absolute_error: 0.2531, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.4851, scimark_benchmark: 1814.975, usercpu_time_millis: 2322.696, usercpu_time_millis_testing: 2.21, usercpu_time_millis_training: 2320.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9649, kappa: 0.8502, kb_relative_information_score: 2466.3017, mean_absolute_error: 0.0563, 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: 0.2338, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.4699, scimark_benchmark: 1788.7115, usercpu_time_millis: 803.235, usercpu_time_millis_testing: 1.99, usercpu_time_millis_training: 801.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9706, kappa: 0.8764, kb_relative_information_score: 2404.5207, mean_absolute_error: 0.0579, 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: 0.2404, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.4632, scimark_benchmark: 1883.8604, usercpu_time_millis: 637.023, usercpu_time_millis_testing: 1.111, usercpu_time_millis_training: 635.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9665, kappa: 0.8576, kb_relative_information_score: 2494.7433, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9667, predictive_accuracy: 0.9674, prior_entropy: 0.5848, recall: 0.9674, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.4536, scimark_benchmark: 1840.6983, usercpu_time_millis: 511.699, usercpu_time_millis_testing: 1.862, usercpu_time_millis_training: 509.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9749, kappa: 0.8944, kb_relative_information_score: 2636.8355, mean_absolute_error: 0.0417, 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: 0.1731, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.4154, scimark_benchmark: 1841.6688, usercpu_time_millis: 448.144, usercpu_time_millis_testing: 0.911, usercpu_time_millis_training: 447.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9675, kappa: 0.862, kb_relative_information_score: 2541.2008, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9677, predictive_accuracy: 0.9683, prior_entropy: 0.5848, recall: 0.9683, relative_absolute_error: 0.2085, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.4441, scimark_benchmark: 1814.5951, usercpu_time_millis: 394.858, usercpu_time_millis_testing: 0.906, usercpu_time_millis_training: 393.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9735, kappa: 0.8873, kb_relative_information_score: 2477.9509, mean_absolute_error: 0.0567, 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: 0.2354, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.445, scimark_benchmark: 1836.6789, usercpu_time_millis: 359.219, usercpu_time_millis_testing: 2.36, usercpu_time_millis_training: 356.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9726, kappa: 0.8843, kb_relative_information_score: 2573.7584, mean_absolute_error: 0.0472, 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: 0.1957, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.4357, scimark_benchmark: 1708.1266, usercpu_time_millis: 344.173, usercpu_time_millis_testing: 0.816, usercpu_time_millis_training: 343.357,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.964, kappa: 0.8466, kb_relative_information_score: 2400.1088, mean_absolute_error: 0.0601, 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: 0.2494, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.4798, scimark_benchmark: 1781.857, usercpu_time_millis: 184.584, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 183.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9602, kappa: 0.8357, kb_relative_information_score: 2289.9613, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 0.5848, recall: 0.96, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.5205, scimark_benchmark: 1847.8629, usercpu_time_millis: 159.056, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 158.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9665, kappa: 0.8573, kb_relative_information_score: 2485.029, mean_absolute_error: 0.0548, 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: 0.2274, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.16, root_relative_squared_error: 0.461, scimark_benchmark: 1840.3077, usercpu_time_millis: 64.118, usercpu_time_millis_testing: 0.616, usercpu_time_millis_training: 63.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.1115, 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: 0.9995, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1815.4778, usercpu_time_millis: 6.301, usercpu_time_millis_testing: 1.342, usercpu_time_millis_training: 4.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.7953, kb_relative_information_score: -1.7489, 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: 0.9995, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1846.7639, usercpu_time_millis: 6.151, usercpu_time_millis_testing: 0.945, usercpu_time_millis_training: 5.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7953, kb_relative_information_score: -6.365, 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: 0.9991, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 2074.8044, usercpu_time_millis: 3.366, usercpu_time_millis_testing: 0.567, usercpu_time_millis_training: 2.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7953, kb_relative_information_score: -36.0285, mean_absolute_error: 0.241, 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: 1.0002, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1815.4778, usercpu_time_millis: 3.014, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 2.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9708, kappa: 0.8762, kb_relative_information_score: 2591.073, mean_absolute_error: 0.0443, 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: 0.1838, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.152, root_relative_squared_error: 0.4381, scimark_benchmark: 1943.1251, usercpu_time_millis: 3262.513, usercpu_time_millis_testing: 2.567, usercpu_time_millis_training: 3259.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9705, kappa: 0.875, kb_relative_information_score: 2577.073, mean_absolute_error: 0.0446, 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: 0.1852, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.4451, scimark_benchmark: 1803.6516, usercpu_time_millis: 2356.761, usercpu_time_millis_testing: 1.656, usercpu_time_millis_training: 2355.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.972, kappa: 0.8812, kb_relative_information_score: 2590.0113, mean_absolute_error: 0.0454, 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: 0.1883, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.4336, scimark_benchmark: 1826.2385, usercpu_time_millis: 2650.664, usercpu_time_millis_testing: 2.238, usercpu_time_millis_training: 2648.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9723, kappa: 0.8831, kb_relative_information_score: 2531.3206, mean_absolute_error: 0.0497, 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: 0.2063, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.4304, scimark_benchmark: 1835.7344, usercpu_time_millis: 1595.333, usercpu_time_millis_testing: 2.827, usercpu_time_millis_training: 1592.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9617, kappa: 0.8416, kb_relative_information_score: 2335.9417, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9619, predictive_accuracy: 0.9616, prior_entropy: 0.5848, recall: 0.9616, relative_absolute_error: 0.2543, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.5136, scimark_benchmark: 1805.0089, usercpu_time_millis: 1493.249, usercpu_time_millis_testing: 0.902, usercpu_time_millis_training: 1492.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9585, kappa: 0.8285, kb_relative_information_score: 2314.2571, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9588, predictive_accuracy: 0.9582, prior_entropy: 0.5848, recall: 0.9582, relative_absolute_error: 0.2652, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.5061, scimark_benchmark: 1853.9121, usercpu_time_millis: 2416.38, usercpu_time_millis_testing: 1.895, usercpu_time_millis_training: 2414.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9646, kappa: 0.849, kb_relative_information_score: 2440.4662, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9648, predictive_accuracy: 0.9655, prior_entropy: 0.5848, recall: 0.9655, relative_absolute_error: 0.2398, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.479, scimark_benchmark: 1829.1182, usercpu_time_millis: 956.1, usercpu_time_millis_testing: 1.487, usercpu_time_millis_training: 954.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.973, kappa: 0.8862, kb_relative_information_score: 2419.3014, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.973, predictive_accuracy: 0.9735, prior_entropy: 0.5848, recall: 0.9735, relative_absolute_error: 0.2448, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.4445, scimark_benchmark: 1846.5018, usercpu_time_millis: 748.781, usercpu_time_millis_testing: 3.572, usercpu_time_millis_training: 745.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9768, kappa: 0.9026, kb_relative_information_score: 2683.9265, mean_absolute_error: 0.0376, 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: 0.1561, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.4039, scimark_benchmark: 1803.7239, usercpu_time_millis: 1738.231, usercpu_time_millis_testing: 2.174, usercpu_time_millis_training: 1736.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.972, kappa: 0.8815, kb_relative_information_score: 2545.9401, mean_absolute_error: 0.0496, 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: 0.2059, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.4397, scimark_benchmark: 1846.3057, usercpu_time_millis: 684.797, usercpu_time_millis_testing: 1.715, usercpu_time_millis_training: 683.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9714, kappa: 0.8788, kb_relative_information_score: 2533.6378, mean_absolute_error: 0.0497, 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: 0.2063, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.4455, scimark_benchmark: 1800.1881, usercpu_time_millis: 652.081, usercpu_time_millis_testing: 1.082, usercpu_time_millis_training: 650.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9599, kappa: 0.8343, kb_relative_information_score: 2289.0054, mean_absolute_error: 0.067, 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: 0.2782, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.5209, scimark_benchmark: 2052.4942, usercpu_time_millis: 1605.386, usercpu_time_millis_testing: 1.425, usercpu_time_millis_training: 1603.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9589, kappa: 0.8308, kb_relative_information_score: 2252.1194, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9594, predictive_accuracy: 0.9585, prior_entropy: 0.5848, recall: 0.9585, relative_absolute_error: 0.2924, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.5032, scimark_benchmark: 1710.2072, usercpu_time_millis: 435.508, usercpu_time_millis_testing: 0.961, usercpu_time_millis_training: 434.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9718, kappa: 0.8814, kb_relative_information_score: 2455.299, mean_absolute_error: 0.0532, 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: 0.2207, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.4487, scimark_benchmark: 1841.8022, usercpu_time_millis: 402.866, usercpu_time_millis_testing: 0.82, usercpu_time_millis_training: 402.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9596, kappa: 0.8316, kb_relative_information_score: 2237.3694, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9595, predictive_accuracy: 0.9597, prior_entropy: 0.5848, recall: 0.9597, relative_absolute_error: 0.2999, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.5083, scimark_benchmark: 1932.8338, usercpu_time_millis: 22.071, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 21.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7953, kb_relative_information_score: 1.6918, 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: 1933.3374, usercpu_time_millis: 8.019, usercpu_time_millis_testing: 1.276, usercpu_time_millis_training: 6.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 0.9747, 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: 1846.5018, usercpu_time_millis: 6.831, usercpu_time_millis_testing: 1.182, usercpu_time_millis_training: 5.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -0.832, 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: 1802.2276, usercpu_time_millis: 5.407, usercpu_time_millis_testing: 0.98, usercpu_time_millis_training: 4.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7953, kb_relative_information_score: -6.1976, 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: 1, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1811.0788, usercpu_time_millis: 5.006, usercpu_time_millis_testing: 0.873, usercpu_time_millis_training: 4.133,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9751, kappa: 0.8944, kb_relative_information_score: 2502.3484, mean_absolute_error: 0.0549, 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: 0.2277, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.4268, scimark_benchmark: 1857.5664, usercpu_time_millis: 498.88, usercpu_time_millis_testing: 4.251, usercpu_time_millis_training: 494.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9744, kappa: 0.8914, kb_relative_information_score: 2546.885, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9747, predictive_accuracy: 0.975, prior_entropy: 0.5848, recall: 0.975, relative_absolute_error: 0.2147, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.4312, scimark_benchmark: 1831.0474, usercpu_time_millis: 183.444, usercpu_time_millis_testing: 1.61, usercpu_time_millis_training: 181.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9639, kappa: 0.8464, kb_relative_information_score: 2420.0014, mean_absolute_error: 0.0577, 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: 0.2395, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.4827, scimark_benchmark: 1853.3841, usercpu_time_millis: 20.92, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 20.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.7953, kb_relative_information_score: -2.0024, 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: 0.9995, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1836.1318, usercpu_time_millis: 4.358, usercpu_time_millis_testing: 0.706, usercpu_time_millis_training: 3.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7953, kb_relative_information_score: -4.9576, 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: 1836.52, usercpu_time_millis: 4.068, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 3.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9749, kappa: 0.8944, kb_relative_information_score: 2676.5816, mean_absolute_error: 0.0381, 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: 0.1583, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.4168, scimark_benchmark: 1851.2936, usercpu_time_millis: 2707.033, usercpu_time_millis_testing: 2.341, usercpu_time_millis_training: 2704.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9753, kappa: 0.896, kb_relative_information_score: 2681.3985, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9752, predictive_accuracy: 0.9756, prior_entropy: 0.5848, recall: 0.9756, relative_absolute_error: 0.1568, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4086, scimark_benchmark: 1852.682, usercpu_time_millis: 2175.188, usercpu_time_millis_testing: 1.838, usercpu_time_millis_training: 2173.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9768, kappa: 0.9024, kb_relative_information_score: 2615.3977, mean_absolute_error: 0.0426, 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: 0.1767, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.4241, scimark_benchmark: 1840.7014, usercpu_time_millis: 2130.656, usercpu_time_millis_testing: 1.656, usercpu_time_millis_training: 2129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.976, kappa: 0.8981, kb_relative_information_score: 2566.7585, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9763, predictive_accuracy: 0.9765, prior_entropy: 0.5848, recall: 0.9765, relative_absolute_error: 0.2101, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.4118, scimark_benchmark: 1840.8067, usercpu_time_millis: 431.412, usercpu_time_millis_testing: 3.837, usercpu_time_millis_training: 427.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9768, kappa: 0.9026, kb_relative_information_score: 2689.3486, mean_absolute_error: 0.0362, 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: 0.1504, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.143, root_relative_squared_error: 0.4122, scimark_benchmark: 1844.2676, usercpu_time_millis: 6010.877, usercpu_time_millis_testing: 3.183, usercpu_time_millis_training: 6007.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.958, kappa: 0.8269, kb_relative_information_score: 2283.5715, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9584, predictive_accuracy: 0.9576, prior_entropy: 0.5848, recall: 0.9576, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.537, scimark_benchmark: 1766.9365, usercpu_time_millis: 7312.51, usercpu_time_millis_testing: 2.477, usercpu_time_millis_training: 7310.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9599, kappa: 0.8343, kb_relative_information_score: 2286.5171, mean_absolute_error: 0.067, 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: 0.2779, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.5243, scimark_benchmark: 1728.4686, usercpu_time_millis: 3702.334, usercpu_time_millis_testing: 2.258, usercpu_time_millis_training: 3700.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9588, kappa: 0.8302, kb_relative_information_score: 2286.7023, mean_absolute_error: 0.0661, 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: 0.2742, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.5281, scimark_benchmark: 1737.6153, usercpu_time_millis: 4142.153, usercpu_time_millis_testing: 1.979, usercpu_time_millis_training: 4140.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9708, kappa: 0.8762, kb_relative_information_score: 2570.5258, mean_absolute_error: 0.0458, 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: 0.19, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.4433, scimark_benchmark: 1748.1239, usercpu_time_millis: 4578.916, usercpu_time_millis_testing: 2.624, usercpu_time_millis_training: 4576.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9591, kappa: 0.8313, kb_relative_information_score: 2282.8598, mean_absolute_error: 0.0667, 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: 0.2768, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.5297, scimark_benchmark: 1734.5578, usercpu_time_millis: 2323.451, usercpu_time_millis_testing: 1.473, usercpu_time_millis_training: 2321.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.974, kappa: 0.8908, kb_relative_information_score: 2634.0162, mean_absolute_error: 0.0407, 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: 0.1687, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.4239, scimark_benchmark: 1761.4192, usercpu_time_millis: 1419.518, usercpu_time_millis_testing: 1.23, usercpu_time_millis_training: 1418.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9685, kappa: 0.8679, kb_relative_information_score: 2400.8985, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9684, predictive_accuracy: 0.9689, prior_entropy: 0.5848, recall: 0.9689, relative_absolute_error: 0.2359, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.4702, scimark_benchmark: 1706.4313, usercpu_time_millis: 3468.049, usercpu_time_millis_testing: 1.986, usercpu_time_millis_training: 3466.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.972, kappa: 0.8815, kb_relative_information_score: 2526.5379, mean_absolute_error: 0.0495, 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: 0.2056, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.4407, scimark_benchmark: 1734.2176, usercpu_time_millis: 664.83, usercpu_time_millis_testing: 1.15, usercpu_time_millis_training: 663.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9651, kappa: 0.8545, kb_relative_information_score: 2368.4448, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.965, predictive_accuracy: 0.9652, prior_entropy: 0.5848, recall: 0.9652, relative_absolute_error: 0.2455, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.4777, scimark_benchmark: 1829.1182, usercpu_time_millis: 2671.991, usercpu_time_millis_testing: 1.918, usercpu_time_millis_training: 2670.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9599, kappa: 0.8343, kb_relative_information_score: 2305.378, mean_absolute_error: 0.0656, 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: 0.2722, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.4889, scimark_benchmark: 1773.1852, usercpu_time_millis: 585.447, usercpu_time_millis_testing: 1.191, usercpu_time_millis_training: 584.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9707, kappa: 0.8757, kb_relative_information_score: 2227.559, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9709, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.3144, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.4915, scimark_benchmark: 1732.7672, usercpu_time_millis: 364.016, usercpu_time_millis_testing: 2.035, usercpu_time_millis_training: 361.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9674, kappa: 0.8614, kb_relative_information_score: 2476.9935, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9677, predictive_accuracy: 0.9683, prior_entropy: 0.5848, recall: 0.9683, relative_absolute_error: 0.2309, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.4592, scimark_benchmark: 1738.6841, usercpu_time_millis: 261.023, usercpu_time_millis_testing: 1.042, usercpu_time_millis_training: 259.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.9282, kappa: 0.6821, kb_relative_information_score: 1661.3395, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.931, predictive_accuracy: 0.9335, prior_entropy: 0.5848, recall: 0.9335, relative_absolute_error: 0.543, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.227, root_relative_squared_error: 0.6542, scimark_benchmark: 1827.062, usercpu_time_millis: 28.496, usercpu_time_millis_testing: 0.665, usercpu_time_millis_training: 27.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9699, kappa: 0.8726, kb_relative_information_score: 2572.0233, mean_absolute_error: 0.0454, 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: 0.1883, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.4479, scimark_benchmark: 1744.246, usercpu_time_millis: 1995.345, usercpu_time_millis_testing: 0.917, usercpu_time_millis_training: 1994.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9756, kappa: 0.8972, kb_relative_information_score: 2679.7778, mean_absolute_error: 0.038, 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: 0.1576, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4059, scimark_benchmark: 1735.9447, usercpu_time_millis: 1346.024, usercpu_time_millis_testing: 1.523, usercpu_time_millis_training: 1344.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9723, kappa: 0.8829, kb_relative_information_score: 2553.7768, mean_absolute_error: 0.0486, 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: 0.2016, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.431, scimark_benchmark: 1824.6719, usercpu_time_millis: 1358.603, usercpu_time_millis_testing: 2.597, usercpu_time_millis_training: 1356.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9769, kappa: 0.9028, kb_relative_information_score: 2688.2954, mean_absolute_error: 0.0373, 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: 0.1549, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.4021, scimark_benchmark: 1846.1643, usercpu_time_millis: 175.52, usercpu_time_millis_testing: 0.635, usercpu_time_millis_training: 174.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9705, kappa: 0.8752, kb_relative_information_score: 2585.9259, 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: 0.1864, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.4336, scimark_benchmark: 1846.1643, usercpu_time_millis: 56.196, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 55.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 0.3332, 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: 1731.7006, usercpu_time_millis: 6.909, usercpu_time_millis_testing: 1.235, usercpu_time_millis_training: 5.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -0.9103, 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: 1833.6579, usercpu_time_millis: 5.56, usercpu_time_millis_testing: 0.983, usercpu_time_millis_training: 4.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9705, kappa: 0.875, kb_relative_information_score: 2575.3074, 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: 0.1861, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.154, root_relative_squared_error: 0.4437, scimark_benchmark: 1742.394, usercpu_time_millis: 5434.343, usercpu_time_millis_testing: 2.531, usercpu_time_millis_training: 5431.812,

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