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: 0.9766, f_measure: 0.9691, kappa: 0.8685, kb_relative_information_score: 2480.5942, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9693, predictive_accuracy: 0.9698, prior_entropy: 0.5848, recall: 0.9698, relative_absolute_error: 0.2311, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.4539, scimark_benchmark: 1716.4327, usercpu_time_millis: 234.609, usercpu_time_millis_testing: 1.097, usercpu_time_millis_training: 233.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9761, kappa: 0.8993, kb_relative_information_score: 2641.1734, mean_absolute_error: 0.0425, 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: 0.1766, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.403, scimark_benchmark: 1722.2536, usercpu_time_millis: 185.017, usercpu_time_millis_testing: 1.383, usercpu_time_millis_training: 183.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9753, kappa: 0.896, kb_relative_information_score: 2647.437, mean_absolute_error: 0.0391, 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: 0.1623, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.4171, scimark_benchmark: 1730.2204, usercpu_time_millis: 1326.693, usercpu_time_millis_testing: 1.439, usercpu_time_millis_training: 1325.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9585, kappa: 0.8291, kb_relative_information_score: 2283.7955, mean_absolute_error: 0.0664, 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: 0.2756, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.5299, scimark_benchmark: 1717.3936, usercpu_time_millis: 1319.009, usercpu_time_millis_testing: 0.853, usercpu_time_millis_training: 1318.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9657, kappa: 0.8566, kb_relative_information_score: 2377.3075, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9655, predictive_accuracy: 0.9658, prior_entropy: 0.5848, recall: 0.9658, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.4738, scimark_benchmark: 1732.3303, usercpu_time_millis: 1304.223, usercpu_time_millis_testing: 1.383, usercpu_time_millis_training: 1302.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9727, kappa: 0.8845, kb_relative_information_score: 2458.0486, mean_absolute_error: 0.0542, 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: 0.2249, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.4435, scimark_benchmark: 1716.9898, usercpu_time_millis: 1250.049, usercpu_time_millis_testing: 2.097, usercpu_time_millis_training: 1247.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9732, kappa: 0.8867, kb_relative_information_score: 2558.4687, mean_absolute_error: 0.0473, 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: 0.1963, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.4308, scimark_benchmark: 1725.3223, usercpu_time_millis: 22.65, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 22.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9599, kappa: 0.8343, kb_relative_information_score: 2286.349, mean_absolute_error: 0.0672, 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: 0.2787, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.5191, scimark_benchmark: 1752.2348, usercpu_time_millis: 1173.243, usercpu_time_millis_testing: 1.227, usercpu_time_millis_training: 1172.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9599, kappa: 0.8343, kb_relative_information_score: 2287.7839, mean_absolute_error: 0.0671, 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: 0.2784, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.5236, scimark_benchmark: 1364.2079, usercpu_time_millis: 2858.43, usercpu_time_millis_testing: 1.889, usercpu_time_millis_training: 2856.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9705, kappa: 0.8752, kb_relative_information_score: 2613.5684, mean_absolute_error: 0.0427, 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: 0.1774, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.4349, scimark_benchmark: 1363.2228, usercpu_time_millis: 6363.435, usercpu_time_millis_testing: 3.932, usercpu_time_millis_training: 6359.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9656, kappa: 0.8558, kb_relative_information_score: 2322.7734, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9654, predictive_accuracy: 0.9658, prior_entropy: 0.5848, recall: 0.9658, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.477, scimark_benchmark: 1723.1138, usercpu_time_millis: 938.534, usercpu_time_millis_testing: 2.713, usercpu_time_millis_training: 935.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -3.1566, 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: 1363.6596, usercpu_time_millis: 5.663, usercpu_time_millis_testing: 1.044, usercpu_time_millis_training: 4.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.974, kappa: 0.8904, kb_relative_information_score: 2643.7124, mean_absolute_error: 0.0408, 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: 0.1694, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.417, scimark_benchmark: 1366.1791, usercpu_time_millis: 5378.181, usercpu_time_millis_testing: 3.201, usercpu_time_millis_training: 5374.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.974, kappa: 0.8906, kb_relative_information_score: 2647.7071, mean_absolute_error: 0.0411, 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: 0.1705, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4087, scimark_benchmark: 1719.4725, usercpu_time_millis: 1414.217, usercpu_time_millis_testing: 2.157, usercpu_time_millis_training: 1412.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9708, kappa: 0.8762, kb_relative_information_score: 2560.8378, mean_absolute_error: 0.0463, 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: 0.1923, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.4475, scimark_benchmark: 1732.0988, usercpu_time_millis: 681.064, usercpu_time_millis_testing: 0.766, usercpu_time_millis_training: 680.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9755, kappa: 0.8966, kb_relative_information_score: 2601.0952, mean_absolute_error: 0.0453, 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: 0.1882, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.4243, scimark_benchmark: 1728.8802, usercpu_time_millis: 641.335, usercpu_time_millis_testing: 1.547, usercpu_time_millis_training: 639.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9713, kappa: 0.8792, kb_relative_information_score: 2343.5424, mean_absolute_error: 0.0637, 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: 0.2642, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.4632, scimark_benchmark: 1738.3274, usercpu_time_millis: 1147.477, usercpu_time_millis_testing: 3.645, usercpu_time_millis_training: 1143.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9743, kappa: 0.8918, kb_relative_information_score: 2604.8341, mean_absolute_error: 0.0442, 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: 0.1836, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.4288, scimark_benchmark: 1720.9479, usercpu_time_millis: 1098.04, usercpu_time_millis_testing: 1.473, usercpu_time_millis_training: 1096.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9596, kappa: 0.8326, kb_relative_information_score: 2282.4536, mean_absolute_error: 0.0683, 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: 0.2833, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.18, root_relative_squared_error: 0.5187, scimark_benchmark: 1728.0111, usercpu_time_millis: 1001.908, usercpu_time_millis_testing: 1.516, usercpu_time_millis_training: 1000.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9678, kappa: 0.8634, kb_relative_information_score: 2505.7536, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.968, predictive_accuracy: 0.9686, prior_entropy: 0.5848, recall: 0.9686, relative_absolute_error: 0.2184, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.4546, scimark_benchmark: 1733.3606, usercpu_time_millis: 968.965, usercpu_time_millis_testing: 1.819, usercpu_time_millis_training: 967.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9714, kappa: 0.8788, kb_relative_information_score: 2570.7402, mean_absolute_error: 0.0473, 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: 0.1962, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.4402, scimark_benchmark: 1742.0113, usercpu_time_millis: 768.891, usercpu_time_millis_testing: 1.149, usercpu_time_millis_training: 767.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9722, kappa: 0.882, kb_relative_information_score: 2429.5804, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9725, predictive_accuracy: 0.9729, prior_entropy: 0.5848, recall: 0.9729, relative_absolute_error: 0.2498, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.4569, scimark_benchmark: 1722.0975, usercpu_time_millis: 195.745, usercpu_time_millis_testing: 1.365, usercpu_time_millis_training: 194.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.9318, kappa: 0.7053, kb_relative_information_score: 1797.0864, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9316, predictive_accuracy: 0.9347, prior_entropy: 0.5848, recall: 0.9347, relative_absolute_error: 0.4714, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.6618, scimark_benchmark: 1740.0638, usercpu_time_millis: 184.242, usercpu_time_millis_testing: 0.794, usercpu_time_millis_training: 183.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9594, kappa: 0.8324, kb_relative_information_score: 2286.1619, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9597, predictive_accuracy: 0.9591, prior_entropy: 0.5848, recall: 0.9591, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.5122, scimark_benchmark: 1697.4515, usercpu_time_millis: 709.364, usercpu_time_millis_testing: 1.05, usercpu_time_millis_training: 708.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9688, kappa: 0.8675, kb_relative_information_score: 2199.6615, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.969, predictive_accuracy: 0.9695, prior_entropy: 0.5848, recall: 0.9695, relative_absolute_error: 0.3247, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.4954, scimark_benchmark: 1726.6371, usercpu_time_millis: 618.371, usercpu_time_millis_testing: 2.992, usercpu_time_millis_training: 615.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.963, kappa: 0.846, kb_relative_information_score: 2251.3091, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9629, predictive_accuracy: 0.9631, prior_entropy: 0.5848, recall: 0.9631, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.494, scimark_benchmark: 1726.9824, usercpu_time_millis: 40.615, usercpu_time_millis_testing: 0.619, usercpu_time_millis_training: 39.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9674, kappa: 0.8626, kb_relative_information_score: 2221.2718, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9674, predictive_accuracy: 0.968, prior_entropy: 0.5848, recall: 0.968, relative_absolute_error: 0.3193, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.4994, scimark_benchmark: 2142.8959, usercpu_time_millis: 28.86, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 28.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9684, kappa: 0.8656, kb_relative_information_score: 2474.2701, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9687, predictive_accuracy: 0.9692, prior_entropy: 0.5848, recall: 0.9692, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.4534, scimark_benchmark: 1721.8007, usercpu_time_millis: 514.838, usercpu_time_millis_testing: 2.423, usercpu_time_millis_training: 512.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9596, kappa: 0.8326, kb_relative_information_score: 2268.0416, mean_absolute_error: 0.0691, 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: 0.2866, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.504, scimark_benchmark: 1362.1558, usercpu_time_millis: 2061.914, usercpu_time_millis_testing: 2.501, usercpu_time_millis_training: 2059.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9714, kappa: 0.8793, kb_relative_information_score: 2527.8183, mean_absolute_error: 0.0498, 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: 0.2068, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.4473, scimark_benchmark: 1707.7344, usercpu_time_millis: 409.173, usercpu_time_millis_testing: 0.857, usercpu_time_millis_training: 408.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9767, kappa: 0.9017, kb_relative_information_score: 2618.9805, mean_absolute_error: 0.0451, 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: 0.1872, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.4074, scimark_benchmark: 1727.044, usercpu_time_millis: 353.115, usercpu_time_millis_testing: 2.282, usercpu_time_millis_training: 350.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9729, kappa: 0.8853, kb_relative_information_score: 2620.5229, 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: 0.1457, root_relative_squared_error: 0.4199, scimark_benchmark: 1963.2137, usercpu_time_millis: 337.202, usercpu_time_millis_testing: 0.771, usercpu_time_millis_training: 336.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9699, kappa: 0.8714, kb_relative_information_score: 2275.662, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9704, predictive_accuracy: 0.9707, prior_entropy: 0.5848, recall: 0.9707, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.4911, scimark_benchmark: 1722.1998, usercpu_time_millis: 224.16, usercpu_time_millis_testing: 2.142, usercpu_time_millis_training: 222.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9697, kappa: 0.8729, kb_relative_information_score: 2322.6277, mean_absolute_error: 0.0649, 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: 0.2695, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.4717, scimark_benchmark: 1717.4916, usercpu_time_millis: 164.518, usercpu_time_millis_testing: 0.872, usercpu_time_millis_training: 163.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9659, kappa: 0.8525, kb_relative_information_score: 2207.4622, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9676, predictive_accuracy: 0.9674, prior_entropy: 0.5848, recall: 0.9674, relative_absolute_error: 0.3342, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.5141, scimark_benchmark: 1722.7088, usercpu_time_millis: 123.763, usercpu_time_millis_testing: 2.046, usercpu_time_millis_training: 121.717,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9711, kappa: 0.8779, kb_relative_information_score: 2500.4129, mean_absolute_error: 0.0505, 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: 0.2097, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.4531, scimark_benchmark: 1715.3266, usercpu_time_millis: 2056.932, usercpu_time_millis_testing: 1.256, usercpu_time_millis_training: 2055.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.972, kappa: 0.8817, kb_relative_information_score: 2527.3551, 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: 0.206, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.4463, scimark_benchmark: 1362.4165, usercpu_time_millis: 393.208, usercpu_time_millis_testing: 1.005, usercpu_time_millis_training: 392.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9764, kappa: 0.9007, kb_relative_information_score: 2666.1771, mean_absolute_error: 0.0404, 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: 0.1678, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.3984, scimark_benchmark: 1728.017, usercpu_time_millis: 1585.815, usercpu_time_millis_testing: 3.655, usercpu_time_millis_training: 1582.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9592, kappa: 0.8322, kb_relative_information_score: 2270.1447, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9597, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.5071, scimark_benchmark: 1730.591, usercpu_time_millis: 1560.728, usercpu_time_millis_testing: 1.892, usercpu_time_millis_training: 1558.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9731, kappa: 0.8854, kb_relative_information_score: 2415.4059, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9735, 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: 0.1543, root_relative_squared_error: 0.4447, scimark_benchmark: 1364.5771, usercpu_time_millis: 13.995, usercpu_time_millis_testing: 0.857, usercpu_time_millis_training: 13.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.7953, kb_relative_information_score: 0.0692, 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: 1364.8189, usercpu_time_millis: 7.146, usercpu_time_millis_testing: 1.381, usercpu_time_millis_training: 5.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8756, kappa: 0.4133, kb_relative_information_score: 1248.0368, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.903, predictive_accuracy: 0.8991, prior_entropy: 0.5848, recall: 0.8991, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.7511, scimark_benchmark: 1364.3645, usercpu_time_millis: 80.792, usercpu_time_millis_testing: 0.964, usercpu_time_millis_training: 79.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9585, kappa: 0.8263, kb_relative_information_score: 2250.6429, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9583, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.5121, scimark_benchmark: 1359.5786, usercpu_time_millis: 989.894, usercpu_time_millis_testing: 2.396, usercpu_time_millis_training: 987.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9692, kappa: 0.87, kb_relative_information_score: 2552.7466, mean_absolute_error: 0.0466, 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: 0.1934, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.4578, scimark_benchmark: 1363.9527, usercpu_time_millis: 13011.943, usercpu_time_millis_testing: 3.078, usercpu_time_millis_training: 13008.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9733, kappa: 0.8869, kb_relative_information_score: 2577.6976, mean_absolute_error: 0.0465, 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: 0.1931, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.4259, scimark_benchmark: 1353.1782, usercpu_time_millis: 379.57, usercpu_time_millis_testing: 1.093, usercpu_time_millis_training: 378.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.945, kappa: 0.7629, kb_relative_information_score: 1964.8614, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9453, predictive_accuracy: 0.9472, prior_entropy: 0.5848, recall: 0.9472, relative_absolute_error: 0.431, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.201, root_relative_squared_error: 0.5793, scimark_benchmark: 1363.0578, usercpu_time_millis: 224.024, usercpu_time_millis_testing: 1.748, usercpu_time_millis_training: 222.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7953, kb_relative_information_score: -57.4928, 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: 1.0001, scimark_benchmark: 1362.5687, usercpu_time_millis: 3.58, usercpu_time_millis_testing: 0.779, usercpu_time_millis_training: 2.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.7953, kb_relative_information_score: -1.4851, 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: 1363.7215, usercpu_time_millis: 8.643, usercpu_time_millis_testing: 1.499, usercpu_time_millis_training: 7.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9594, kappa: 0.8314, kb_relative_information_score: 2277.0376, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9594, predictive_accuracy: 0.9594, prior_entropy: 0.5848, recall: 0.9594, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.5077, scimark_benchmark: 1360.6647, usercpu_time_millis: 1093.995, usercpu_time_millis_testing: 1.852, usercpu_time_millis_training: 1092.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9722, kappa: 0.8828, kb_relative_information_score: 2675.744, mean_absolute_error: 0.0368, 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: 0.1528, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.4274, scimark_benchmark: 1365.4548, usercpu_time_millis: 14230.669, usercpu_time_millis_testing: 3.654, usercpu_time_millis_training: 14227.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9678, kappa: 0.861, kb_relative_information_score: 2368.2982, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9696, predictive_accuracy: 0.9692, prior_entropy: 0.5848, recall: 0.9692, relative_absolute_error: 0.2924, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.4799, scimark_benchmark: 1367.2775, usercpu_time_millis: 105.677, usercpu_time_millis_testing: 2.596, usercpu_time_millis_training: 103.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9595, kappa: 0.832, kb_relative_information_score: 2288.9467, mean_absolute_error: 0.0676, 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: 0.2806, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.491, scimark_benchmark: 1362.278, usercpu_time_millis: 961.035, usercpu_time_millis_testing: 1.987, usercpu_time_millis_training: 959.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9588, kappa: 0.8299, kb_relative_information_score: 2280.456, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9591, predictive_accuracy: 0.9585, prior_entropy: 0.5848, recall: 0.9585, relative_absolute_error: 0.2762, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.531, scimark_benchmark: 1366.5232, usercpu_time_millis: 1163.679, usercpu_time_millis_testing: 0.946, usercpu_time_millis_training: 1162.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.9134, kappa: 0.6169, kb_relative_information_score: 1466.6677, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9145, predictive_accuracy: 0.9198, prior_entropy: 0.5848, recall: 0.9198, relative_absolute_error: 0.5874, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.7212, scimark_benchmark: 1718.8856, usercpu_time_millis: 278.739, usercpu_time_millis_testing: 1.163, usercpu_time_millis_training: 277.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.7953, kb_relative_information_score: -8.3577, 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: 0.9988, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1701.259, usercpu_time_millis: 4.242, usercpu_time_millis_testing: 0.659, usercpu_time_millis_training: 3.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9711, kappa: 0.8776, kb_relative_information_score: 2562.373, mean_absolute_error: 0.0464, 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: 0.1928, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.4462, scimark_benchmark: 1363.4576, usercpu_time_millis: 5890.122, usercpu_time_millis_testing: 2.853, usercpu_time_millis_training: 5887.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9745, kappa: 0.8922, kb_relative_information_score: 2602.1374, mean_absolute_error: 0.0456, 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: 0.1891, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.146, root_relative_squared_error: 0.4209, scimark_benchmark: 1363.422, usercpu_time_millis: 843.998, usercpu_time_millis_testing: 1.83, usercpu_time_millis_training: 842.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9705, kappa: 0.8752, kb_relative_information_score: 2564.5775, mean_absolute_error: 0.0461, 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: 0.1912, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.4414, scimark_benchmark: 1364.7153, usercpu_time_millis: 3412.683, usercpu_time_millis_testing: 2.216, usercpu_time_millis_training: 3410.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.9687, kappa: 0.8683, kb_relative_information_score: 2539.0902, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9686, predictive_accuracy: 0.9692, prior_entropy: 0.5848, recall: 0.9692, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.4708, scimark_benchmark: 1362.4911, usercpu_time_millis: 9266.328, usercpu_time_millis_testing: 2.391, usercpu_time_millis_training: 9263.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9721, kappa: 0.8826, kb_relative_information_score: 2637.5818, mean_absolute_error: 0.0398, 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: 0.1651, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.429, scimark_benchmark: 1363.9368, usercpu_time_millis: 7998.627, usercpu_time_millis_testing: 3.08, usercpu_time_millis_training: 7995.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9691, kappa: 0.87, kb_relative_information_score: 2397.8455, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.969, predictive_accuracy: 0.9695, prior_entropy: 0.5848, recall: 0.9695, relative_absolute_error: 0.2351, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.4663, scimark_benchmark: 1363.2431, usercpu_time_millis: 543.059, usercpu_time_millis_testing: 0.955, usercpu_time_millis_training: 542.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -2.866, 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: 1365.2198, usercpu_time_millis: 5.069, usercpu_time_millis_testing: 0.993, usercpu_time_millis_training: 4.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9598, kappa: 0.8334, kb_relative_information_score: 2257.7351, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9599, predictive_accuracy: 0.9597, prior_entropy: 0.5848, recall: 0.9597, relative_absolute_error: 0.2931, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.501, scimark_benchmark: 1364.523, usercpu_time_millis: 515.629, usercpu_time_millis_testing: 1.473, usercpu_time_millis_training: 514.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9724, kappa: 0.8833, kb_relative_information_score: 2647.5155, mean_absolute_error: 0.0394, 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: 0.1636, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.149, root_relative_squared_error: 0.4293, scimark_benchmark: 1361.1894, usercpu_time_millis: 9373.878, usercpu_time_millis_testing: 4.021, usercpu_time_millis_training: 9369.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9763, kappa: 0.9006, kb_relative_information_score: 2715.1884, mean_absolute_error: 0.0351, 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: 0.1455, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.4029, scimark_benchmark: 1689.8808, usercpu_time_millis: 6409.876, usercpu_time_millis_testing: 7.55, usercpu_time_millis_training: 6402.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 0.4117, 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: 1363.7902, usercpu_time_millis: 6.168, usercpu_time_millis_testing: 1.488, usercpu_time_millis_training: 4.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9591, kappa: 0.8313, kb_relative_information_score: 2288.9443, mean_absolute_error: 0.066, 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: 0.274, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.5176, scimark_benchmark: 1364.9858, usercpu_time_millis: 5688.567, usercpu_time_millis_testing: 2.739, usercpu_time_millis_training: 5685.828,

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