OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9671, kappa: 0.9193, kb_relative_information_score: 29511.3097, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3566, scimark_benchmark: 1366.8514, usercpu_time_millis: 1950.144, usercpu_time_millis_testing: 10.834, usercpu_time_millis_training: 1939.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9338, kappa: 0.8357, kb_relative_information_score: 25293.2018, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9345, predictive_accuracy: 0.9348, prior_entropy: 0.863, recall: 0.9348, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.4954, scimark_benchmark: 1367.6755, usercpu_time_millis: 4358.241, usercpu_time_millis_testing: 13.563, usercpu_time_millis_training: 4344.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9534, kappa: 0.8858, kb_relative_information_score: 27565.9052, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9534, predictive_accuracy: 0.9535, prior_entropy: 0.863, recall: 0.9535, relative_absolute_error: 0.2097, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.192, root_relative_squared_error: 0.4251, scimark_benchmark: 1368.1849, usercpu_time_millis: 3631.33, usercpu_time_millis_testing: 15.037, usercpu_time_millis_training: 3616.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9631, kappa: 0.9095, kb_relative_information_score: 29351.6542, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.1553, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3743, scimark_benchmark: 1368.5595, usercpu_time_millis: 241.995, usercpu_time_millis_testing: 0.618, usercpu_time_millis_training: 241.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9464, kappa: 0.8675, kb_relative_information_score: 25659.0617, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9467, predictive_accuracy: 0.947, prior_entropy: 0.863, recall: 0.947, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4554, scimark_benchmark: 1370.2822, usercpu_time_millis: 840.777, usercpu_time_millis_testing: 20.815, usercpu_time_millis_training: 819.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9626, kappa: 0.9081, kb_relative_information_score: 28887.2932, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.379, scimark_benchmark: 1363.4376, usercpu_time_millis: 2503.128, usercpu_time_millis_testing: 10.808, usercpu_time_millis_training: 2492.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9638, kappa: 0.9113, kb_relative_information_score: 29329.7725, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.9639, prior_entropy: 0.863, recall: 0.9639, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.3709, scimark_benchmark: 1375.8064, usercpu_time_millis: 9143.087, usercpu_time_millis_testing: 13.298, usercpu_time_millis_training: 9129.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9681, kappa: 0.9216, kb_relative_information_score: 29718.873, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.1468, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.3509, scimark_benchmark: 1371.2622, usercpu_time_millis: 3943.559, usercpu_time_millis_testing: 15.895, usercpu_time_millis_training: 3927.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9625, kappa: 0.908, kb_relative_information_score: 28892.7025, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3799, scimark_benchmark: 1366.305, usercpu_time_millis: 3356.895, usercpu_time_millis_testing: 14.449, usercpu_time_millis_training: 3342.446,
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: 0.9926, f_measure: 0.9635, kappa: 0.9105, kb_relative_information_score: 29015.5998, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9635, predictive_accuracy: 0.9636, prior_entropy: 0.863, recall: 0.9636, relative_absolute_error: 0.1676, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.375, scimark_benchmark: 1369.1017, usercpu_time_millis: 2803.955, usercpu_time_millis_testing: 13.117, usercpu_time_millis_training: 2790.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9662, kappa: 0.917, kb_relative_information_score: 29411.9059, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9661, predictive_accuracy: 0.9662, prior_entropy: 0.863, recall: 0.9662, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.163, root_relative_squared_error: 0.3608, scimark_benchmark: 1366.1105, usercpu_time_millis: 5515.526, usercpu_time_millis_testing: 27.567, usercpu_time_millis_training: 5487.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9554, kappa: 0.8908, kb_relative_information_score: 27989.0252, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9554, predictive_accuracy: 0.9555, prior_entropy: 0.863, recall: 0.9555, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.4115, scimark_benchmark: 1375.4633, usercpu_time_millis: 4786.832, usercpu_time_millis_testing: 22.141, usercpu_time_millis_training: 4764.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8622, kappa: 0.6673, kb_relative_information_score: 17348.0316, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8653, predictive_accuracy: 0.8604, prior_entropy: 0.863, recall: 0.8604, relative_absolute_error: 0.5012, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6931, scimark_benchmark: 1367.194, usercpu_time_millis: 1686.474, usercpu_time_millis_testing: 6.995, usercpu_time_millis_training: 1679.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9291, kappa: 0.8232, kb_relative_information_score: 25025.9188, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9306, predictive_accuracy: 0.9305, prior_entropy: 0.863, recall: 0.9305, relative_absolute_error: 0.2835, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.5014, scimark_benchmark: 1368.1412, usercpu_time_millis: 1358.203, usercpu_time_millis_testing: 4.165, usercpu_time_millis_training: 1354.038,
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: 0.9843, f_measure: 0.9434, kappa: 0.8604, kb_relative_information_score: 26387.122, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9434, predictive_accuracy: 0.9438, prior_entropy: 0.863, recall: 0.9438, relative_absolute_error: 0.2423, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.4647, scimark_benchmark: 1367.0226, usercpu_time_millis: 588.354, usercpu_time_millis_testing: 1.687, usercpu_time_millis_training: 586.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9139, kappa: 0.7862, kb_relative_information_score: 22460.3213, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9143, predictive_accuracy: 0.9152, prior_entropy: 0.863, recall: 0.9152, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.5442, scimark_benchmark: 1367.6662, usercpu_time_millis: 1557.752, usercpu_time_millis_testing: 8.741, usercpu_time_millis_training: 1549.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9472, kappa: 0.8702, kb_relative_information_score: 26808.9862, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.863, recall: 0.9474, relative_absolute_error: 0.2336, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4447, scimark_benchmark: 1368.5384, usercpu_time_millis: 776.246, usercpu_time_millis_testing: 9.539, usercpu_time_millis_training: 766.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.8613, kappa: 0.6574, kb_relative_information_score: 13753.9988, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8606, predictive_accuracy: 0.8626, prior_entropy: 0.863, recall: 0.8626, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.7166, scimark_benchmark: 1367.581, usercpu_time_millis: 198.549, usercpu_time_millis_testing: 9.715, usercpu_time_millis_training: 188.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.934, kappa: 0.8363, kb_relative_information_score: 25218.5246, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9346, predictive_accuracy: 0.935, prior_entropy: 0.863, recall: 0.935, relative_absolute_error: 0.2802, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.4931, scimark_benchmark: 1367.9934, usercpu_time_millis: 473.175, usercpu_time_millis_testing: 2.153, usercpu_time_millis_training: 471.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9584, kappa: 0.8978, kb_relative_information_score: 28278.7906, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9583, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.1908, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.398, scimark_benchmark: 1366.9089, usercpu_time_millis: 973.982, usercpu_time_millis_testing: 12.087, usercpu_time_millis_training: 961.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9322, kappa: 0.8314, kb_relative_information_score: 24878.8718, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.933, predictive_accuracy: 0.9333, prior_entropy: 0.863, recall: 0.9333, relative_absolute_error: 0.2937, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.4953, scimark_benchmark: 1370.2666, usercpu_time_millis: 1644.655, usercpu_time_millis_testing: 13.398, usercpu_time_millis_training: 1631.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9281, kappa: 0.8206, kb_relative_information_score: 25009.6731, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9302, predictive_accuracy: 0.9298, prior_entropy: 0.863, recall: 0.9298, relative_absolute_error: 0.2822, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.5036, scimark_benchmark: 1366.6524, usercpu_time_millis: 1479.881, usercpu_time_millis_testing: 4.5, usercpu_time_millis_training: 1475.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9683, kappa: 0.9222, kb_relative_information_score: 29422.7287, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9683, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.349, scimark_benchmark: 1372.2722, usercpu_time_millis: 1151.919, usercpu_time_millis_testing: 24.389, usercpu_time_millis_training: 1127.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -3.6704, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1369.0704, usercpu_time_millis: 55.251, usercpu_time_millis_testing: 6.036, usercpu_time_millis_training: 49.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9689, kappa: 0.9235, kb_relative_information_score: 29222.0303, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9688, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1666, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.3504, scimark_benchmark: 1373.2227, usercpu_time_millis: 683.244, usercpu_time_millis_testing: 17.302, usercpu_time_millis_training: 665.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8168, kappa: 0.5288, kb_relative_information_score: 12043.1365, mean_absolute_error: 0.2844, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8569, predictive_accuracy: 0.8377, prior_entropy: 0.863, recall: 0.8377, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.7405, scimark_benchmark: 1373.7044, usercpu_time_millis: 112.32, usercpu_time_millis_testing: 7.122, usercpu_time_millis_training: 105.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9676, kappa: 0.9204, kb_relative_information_score: 29693.4932, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.354, scimark_benchmark: 1366.8978, usercpu_time_millis: 9081.619, usercpu_time_millis_testing: 29.039, usercpu_time_millis_training: 9052.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9488, kappa: 0.8745, kb_relative_information_score: 27680.1942, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9488, predictive_accuracy: 0.9489, prior_entropy: 0.863, recall: 0.9489, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4336, scimark_benchmark: 1369.643, usercpu_time_millis: 10763.274, usercpu_time_millis_testing: 16.479, usercpu_time_millis_training: 10746.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9514, kappa: 0.8808, kb_relative_information_score: 27565.3783, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9514, predictive_accuracy: 0.9515, prior_entropy: 0.863, recall: 0.9515, relative_absolute_error: 0.2091, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.4299, scimark_benchmark: 1360.0268, usercpu_time_millis: 5954.339, usercpu_time_millis_testing: 11.873, usercpu_time_millis_training: 5942.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9625, kappa: 0.908, kb_relative_information_score: 29018.9401, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.1673, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.171, root_relative_squared_error: 0.3785, scimark_benchmark: 1368.1621, usercpu_time_millis: 6018.094, usercpu_time_millis_testing: 18.025, usercpu_time_millis_training: 6000.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9666, kappa: 0.9182, kb_relative_information_score: 29495.8446, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.3602, scimark_benchmark: 1367.2141, usercpu_time_millis: 3203.285, usercpu_time_millis_testing: 14.847, usercpu_time_millis_training: 3188.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9646, kappa: 0.9131, kb_relative_information_score: 29234.2657, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.37, scimark_benchmark: 1367.1308, usercpu_time_millis: 7170.021, usercpu_time_millis_testing: 20.655, usercpu_time_millis_training: 7149.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9586, kappa: 0.8981, kb_relative_information_score: 28355.3072, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9587, prior_entropy: 0.863, recall: 0.9587, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.3976, scimark_benchmark: 1361.4519, usercpu_time_millis: 1967.797, usercpu_time_millis_testing: 15.348, usercpu_time_millis_training: 1952.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9674, kappa: 0.9201, kb_relative_information_score: 29598.1848, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.3571, scimark_benchmark: 1368.1172, usercpu_time_millis: 4938.347, usercpu_time_millis_testing: 18.554, usercpu_time_millis_training: 4919.793,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.959, kappa: 0.8994, kb_relative_information_score: 28314.2967, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.3946, scimark_benchmark: 1366.2767, usercpu_time_millis: 88.066, usercpu_time_millis_testing: 0.945, usercpu_time_millis_training: 87.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9561, kappa: 0.8923, kb_relative_information_score: 27704.8809, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9561, predictive_accuracy: 0.9562, prior_entropy: 0.863, recall: 0.9562, relative_absolute_error: 0.2079, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.4127, scimark_benchmark: 1365.2831, usercpu_time_millis: 832.557, usercpu_time_millis_testing: 9.354, usercpu_time_millis_training: 823.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -5.0295, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1365.2336, usercpu_time_millis: 34.552, usercpu_time_millis_testing: 6.16, usercpu_time_millis_training: 28.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.932, kappa: 0.831, kb_relative_information_score: 25235.749, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9327, predictive_accuracy: 0.933, prior_entropy: 0.863, recall: 0.933, relative_absolute_error: 0.2735, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.226, root_relative_squared_error: 0.5002, scimark_benchmark: 1362.9711, usercpu_time_millis: 40.391, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 39.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9675, kappa: 0.9203, kb_relative_information_score: 29535.6195, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.1526, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.3562, scimark_benchmark: 1366.0269, usercpu_time_millis: 2328.866, usercpu_time_millis_testing: 12.376, usercpu_time_millis_training: 2316.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9578, kappa: 0.8965, kb_relative_information_score: 28360.6456, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.863, recall: 0.9578, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.4024, scimark_benchmark: 1367.3927, usercpu_time_millis: 1674.609, usercpu_time_millis_testing: 5.027, usercpu_time_millis_training: 1669.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9683, kappa: 0.9223, kb_relative_information_score: 29941.3825, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9683, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.3427, scimark_benchmark: 1375.061, usercpu_time_millis: 166.431, usercpu_time_millis_testing: 1.742, usercpu_time_millis_training: 164.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8684, kappa: 0.6799, kb_relative_information_score: 17480.1811, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8697, predictive_accuracy: 0.8674, prior_entropy: 0.863, recall: 0.8674, relative_absolute_error: 0.5026, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6829, scimark_benchmark: 1361.531, usercpu_time_millis: 1217.963, usercpu_time_millis_testing: 9.83, usercpu_time_millis_training: 1208.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9161, kappa: 0.7889, kb_relative_information_score: 24450.0384, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9213, predictive_accuracy: 0.919, prior_entropy: 0.863, recall: 0.919, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.5234, scimark_benchmark: 1365.4812, usercpu_time_millis: 2726.621, usercpu_time_millis_testing: 10.65, usercpu_time_millis_training: 2715.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9381, kappa: 0.8472, kb_relative_information_score: 26164.5314, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9382, predictive_accuracy: 0.9387, prior_entropy: 0.863, recall: 0.9387, relative_absolute_error: 0.2467, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4748, scimark_benchmark: 1367.8997, usercpu_time_millis: 5426.664, usercpu_time_millis_testing: 11.043, usercpu_time_millis_training: 5415.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9623, kappa: 0.9075, kb_relative_information_score: 28928.2947, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3798, scimark_benchmark: 1368.3421, usercpu_time_millis: 4394.317, usercpu_time_millis_testing: 22.924, usercpu_time_millis_training: 4371.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9661, kappa: 0.9168, kb_relative_information_score: 29755.6825, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9661, predictive_accuracy: 0.9661, prior_entropy: 0.863, recall: 0.9661, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3589, scimark_benchmark: 1365.3423, usercpu_time_millis: 1116.526, usercpu_time_millis_testing: 2.598, usercpu_time_millis_training: 1113.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9244, kappa: 0.8107, kb_relative_information_score: 24830.0189, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9271, predictive_accuracy: 0.9264, prior_entropy: 0.863, recall: 0.9264, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.23, root_relative_squared_error: 0.5092, scimark_benchmark: 1366.5888, usercpu_time_millis: 4790.989, usercpu_time_millis_testing: 17.56, usercpu_time_millis_training: 4773.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9485, kappa: 0.8736, kb_relative_information_score: 27460.9974, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9484, predictive_accuracy: 0.9486, prior_entropy: 0.863, recall: 0.9486, relative_absolute_error: 0.2112, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4377, scimark_benchmark: 1367.551, usercpu_time_millis: 10815.644, usercpu_time_millis_testing: 26.036, usercpu_time_millis_training: 10789.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9394, kappa: 0.8503, kb_relative_information_score: 26254.7309, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9395, predictive_accuracy: 0.94, prior_entropy: 0.863, recall: 0.94, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.4688, scimark_benchmark: 1367.7264, usercpu_time_millis: 6395.618, usercpu_time_millis_testing: 18.876, usercpu_time_millis_training: 6376.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9183, kappa: 0.7947, kb_relative_information_score: 24436.3638, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9229, predictive_accuracy: 0.9211, prior_entropy: 0.863, recall: 0.9211, relative_absolute_error: 0.3049, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.5132, scimark_benchmark: 1367.208, usercpu_time_millis: 1139.29, usercpu_time_millis_testing: 5.392, usercpu_time_millis_training: 1133.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -7.0785, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1364.1669, usercpu_time_millis: 70.377, usercpu_time_millis_testing: 7.836, usercpu_time_millis_training: 62.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9235, kappa: 0.8084, kb_relative_information_score: 24817.616, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9263, predictive_accuracy: 0.9255, prior_entropy: 0.863, recall: 0.9255, relative_absolute_error: 0.2863, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.5107, scimark_benchmark: 1363.1221, usercpu_time_millis: 4883.957, usercpu_time_millis_testing: 14.33, usercpu_time_millis_training: 4869.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9331, kappa: 0.8338, kb_relative_information_score: 25257.8732, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9338, predictive_accuracy: 0.9341, prior_entropy: 0.863, recall: 0.9341, relative_absolute_error: 0.2766, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.4952, scimark_benchmark: 1366.9535, usercpu_time_millis: 2177.933, usercpu_time_millis_testing: 6.611, usercpu_time_millis_training: 2171.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9567, kappa: 0.8935, kb_relative_information_score: 27800.0208, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9566, predictive_accuracy: 0.9568, prior_entropy: 0.863, recall: 0.9568, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.4084, scimark_benchmark: 1364.001, usercpu_time_millis: 505.433, usercpu_time_millis_testing: 10.762, usercpu_time_millis_training: 494.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.966, kappa: 0.9166, kb_relative_information_score: 29514.2134, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.966, predictive_accuracy: 0.9661, prior_entropy: 0.863, recall: 0.9661, relative_absolute_error: 0.1525, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.163, root_relative_squared_error: 0.3608, scimark_benchmark: 1363.4278, usercpu_time_millis: 7052.638, usercpu_time_millis_testing: 23.126, usercpu_time_millis_training: 7029.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9176, kappa: 0.7927, kb_relative_information_score: 24056.7173, mean_absolute_error: 0.1305, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9226, predictive_accuracy: 0.9204, prior_entropy: 0.863, recall: 0.9204, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.5187, scimark_benchmark: 1365.2995, usercpu_time_millis: 1164.371, usercpu_time_millis_testing: 6.849, usercpu_time_millis_training: 1157.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9223, kappa: 0.8052, kb_relative_information_score: 24508.6941, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9254, predictive_accuracy: 0.9244, prior_entropy: 0.863, recall: 0.9244, relative_absolute_error: 0.3037, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.229, root_relative_squared_error: 0.5069, scimark_benchmark: 1365.1695, usercpu_time_millis: 2148.492, usercpu_time_millis_testing: 12.027, usercpu_time_millis_training: 2136.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9636, kappa: 0.9107, kb_relative_information_score: 29610.7355, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9636, predictive_accuracy: 0.9636, prior_entropy: 0.863, recall: 0.9636, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.3715, scimark_benchmark: 1360.2007, usercpu_time_millis: 4403.976, usercpu_time_millis_testing: 6.034, usercpu_time_millis_training: 4397.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.967, kappa: 0.9191, kb_relative_information_score: 29656.1681, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.967, predictive_accuracy: 0.9671, prior_entropy: 0.863, recall: 0.9671, relative_absolute_error: 0.1477, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.3573, scimark_benchmark: 1357.334, usercpu_time_millis: 9063.733, usercpu_time_millis_testing: 24.718, usercpu_time_millis_training: 9039.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9687, kappa: 0.9233, kb_relative_information_score: 29830.3296, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9687, predictive_accuracy: 0.9688, prior_entropy: 0.863, recall: 0.9688, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.3493, scimark_benchmark: 1367.3473, usercpu_time_millis: 5581.947, usercpu_time_millis_testing: 18.693, usercpu_time_millis_training: 5563.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9478, kappa: 0.8717, kb_relative_information_score: 26967.4573, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9477, predictive_accuracy: 0.9479, prior_entropy: 0.863, recall: 0.9479, relative_absolute_error: 0.2273, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.4463, scimark_benchmark: 1367.2808, usercpu_time_millis: 4787.769, usercpu_time_millis_testing: 17.086, usercpu_time_millis_training: 4770.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9256, kappa: 0.8141, kb_relative_information_score: 24953.1075, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9281, predictive_accuracy: 0.9275, prior_entropy: 0.863, recall: 0.9275, relative_absolute_error: 0.2845, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.5043, scimark_benchmark: 1366.3935, usercpu_time_millis: 1871.904, usercpu_time_millis_testing: 4.937, usercpu_time_millis_training: 1866.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9334, kappa: 0.8348, kb_relative_information_score: 25138.4312, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9339, predictive_accuracy: 0.9343, prior_entropy: 0.863, recall: 0.9343, relative_absolute_error: 0.2845, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.4918, scimark_benchmark: 1363.4858, usercpu_time_millis: 1492.923, usercpu_time_millis_testing: 14.425, usercpu_time_millis_training: 1478.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9381, kappa: 0.8469, kb_relative_information_score: 26046.5638, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9382, predictive_accuracy: 0.9387, prior_entropy: 0.863, recall: 0.9387, relative_absolute_error: 0.2535, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.4709, scimark_benchmark: 1367.3228, usercpu_time_millis: 430.664, usercpu_time_millis_testing: 1.603, usercpu_time_millis_training: 429.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -9.4357, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1366.5342, usercpu_time_millis: 34.881, usercpu_time_millis_testing: 4.147, usercpu_time_millis_training: 30.734,

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