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: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1341.929, usercpu_time_millis: 6.453, usercpu_time_millis_testing: 0.53, usercpu_time_millis_training: 5.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1339.0181, usercpu_time_millis: 9.701, usercpu_time_millis_testing: 0.546, usercpu_time_millis_training: 9.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1316.1417, usercpu_time_millis: 7.545, usercpu_time_millis_testing: 0.655, usercpu_time_millis_training: 6.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1342.0108, usercpu_time_millis: 7.06, usercpu_time_millis_testing: 0.528, usercpu_time_millis_training: 6.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1325.5295, usercpu_time_millis: 6.685, usercpu_time_millis_testing: 0.478, usercpu_time_millis_training: 6.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1304.2034, usercpu_time_millis: 6.563, usercpu_time_millis_testing: 0.475, usercpu_time_millis_training: 6.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8915, kappa: 0.7275, kb_relative_information_score: 15735.6543, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8943, predictive_accuracy: 0.8949, prior_entropy: 0.863, recall: 0.8949, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.6625, scimark_benchmark: 1329.3623, usercpu_time_millis: 6.928, usercpu_time_millis_testing: 0.495, usercpu_time_millis_training: 6.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1332.2427, usercpu_time_millis: 6.556, usercpu_time_millis_testing: 0.511, usercpu_time_millis_training: 6.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9035, kappa: 0.7565, kb_relative_information_score: 16329.0535, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.91, predictive_accuracy: 0.9074, prior_entropy: 0.863, recall: 0.9074, relative_absolute_error: 0.5809, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.6491, scimark_benchmark: 1320.9555, usercpu_time_millis: 8.423, usercpu_time_millis_testing: 0.636, usercpu_time_millis_training: 7.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9227, kappa: 0.8077, kb_relative_information_score: 20021.0724, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9236, predictive_accuracy: 0.9241, prior_entropy: 0.863, recall: 0.9241, relative_absolute_error: 0.4597, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.5754, scimark_benchmark: 1319.772, usercpu_time_millis: 8.428, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 7.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9357, kappa: 0.8414, kb_relative_information_score: 25400.9566, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9356, predictive_accuracy: 0.9361, prior_entropy: 0.863, recall: 0.9361, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.4846, scimark_benchmark: 1349.4733, usercpu_time_millis: 20.066, usercpu_time_millis_testing: 0.518, usercpu_time_millis_training: 19.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9674, kappa: 0.9201, kb_relative_information_score: 29845.3194, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.3524, scimark_benchmark: 1350.6207, usercpu_time_millis: 9044.58, usercpu_time_millis_testing: 36.815, usercpu_time_millis_training: 9007.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9138, kappa: 0.7839, kb_relative_information_score: 17938.1967, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9168, predictive_accuracy: 0.9163, prior_entropy: 0.863, recall: 0.9163, relative_absolute_error: 0.5288, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.6164, scimark_benchmark: 1296.9767, usercpu_time_millis: 10.118, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 9.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1294.3391, usercpu_time_millis: 9.034, usercpu_time_millis_testing: 0.836, usercpu_time_millis_training: 8.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9176, kappa: 0.7941, kb_relative_information_score: 18902.4702, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9194, predictive_accuracy: 0.9195, prior_entropy: 0.863, recall: 0.9195, relative_absolute_error: 0.497, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.5973, scimark_benchmark: 1346.5683, usercpu_time_millis: 12.067, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 11.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1350.735, usercpu_time_millis: 10.1, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 9.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1334.8757, usercpu_time_millis: 8.777, usercpu_time_millis_testing: 0.742, usercpu_time_millis_training: 8.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1337.4636, usercpu_time_millis: 8.886, usercpu_time_millis_testing: 0.74, usercpu_time_millis_training: 8.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9285, kappa: 0.8227, kb_relative_information_score: 22541.5808, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9289, predictive_accuracy: 0.9295, prior_entropy: 0.863, recall: 0.9295, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.5295, scimark_benchmark: 1325.1012, usercpu_time_millis: 14.442, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 13.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1345.5061, usercpu_time_millis: 8.605, usercpu_time_millis_testing: 0.756, usercpu_time_millis_training: 7.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9366, kappa: 0.8439, kb_relative_information_score: 25303.0353, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9365, predictive_accuracy: 0.937, prior_entropy: 0.863, recall: 0.937, relative_absolute_error: 0.2815, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.4845, scimark_benchmark: 1350.5278, usercpu_time_millis: 22.975, usercpu_time_millis_testing: 0.466, usercpu_time_millis_training: 22.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9439, kappa: 0.8622, kb_relative_information_score: 27105.3524, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9438, predictive_accuracy: 0.9441, prior_entropy: 0.863, recall: 0.9441, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.4486, scimark_benchmark: 1349.3249, usercpu_time_millis: 53.878, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 53.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1317.4784, usercpu_time_millis: 8.211, usercpu_time_millis_testing: 0.635, usercpu_time_millis_training: 7.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.5954, kb_relative_information_score: 769.3759, mean_absolute_error: 0.4015, 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: 0.9839, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.984, scimark_benchmark: 1312.8804, usercpu_time_millis: 7.792, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 7.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.929, kappa: 0.8242, kb_relative_information_score: 22109.6107, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9291, predictive_accuracy: 0.9298, prior_entropy: 0.863, recall: 0.9298, relative_absolute_error: 0.3893, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.243, root_relative_squared_error: 0.5379, scimark_benchmark: 1334.5162, usercpu_time_millis: 13.638, usercpu_time_millis_testing: 0.711, usercpu_time_millis_training: 12.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9452, kappa: 0.8655, kb_relative_information_score: 27327.1583, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9452, predictive_accuracy: 0.9454, prior_entropy: 0.863, recall: 0.9454, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4447, scimark_benchmark: 1342.1434, usercpu_time_millis: 70.862, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 70.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9423, kappa: 0.8581, kb_relative_information_score: 26757.6147, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9422, predictive_accuracy: 0.9425, prior_entropy: 0.863, recall: 0.9425, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4551, scimark_benchmark: 1344.1194, usercpu_time_millis: 40.703, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 40.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9456, kappa: 0.8664, kb_relative_information_score: 27461.1313, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9455, predictive_accuracy: 0.9458, prior_entropy: 0.863, recall: 0.9458, relative_absolute_error: 0.2098, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4421, scimark_benchmark: 1329.4059, usercpu_time_millis: 73.511, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 73.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.8707, kappa: 0.6699, kb_relative_information_score: 14094.1346, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8899, predictive_accuracy: 0.8801, prior_entropy: 0.863, recall: 0.8801, relative_absolute_error: 0.6503, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6969, scimark_benchmark: 1332.9672, usercpu_time_millis: 8.145, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 7.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1349.1653, usercpu_time_millis: 5.741, usercpu_time_millis_testing: 0.565, usercpu_time_millis_training: 5.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1347.8617, usercpu_time_millis: 5.89, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 5.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9315, kappa: 0.8307, kb_relative_information_score: 22646.747, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9315, predictive_accuracy: 0.9321, prior_entropy: 0.863, recall: 0.9321, relative_absolute_error: 0.3723, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.5276, scimark_benchmark: 1332.0642, usercpu_time_millis: 12.893, usercpu_time_millis_testing: 0.622, usercpu_time_millis_training: 12.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1338.9073, usercpu_time_millis: 6.469, usercpu_time_millis_testing: 0.555, usercpu_time_millis_training: 5.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9429, kappa: 0.8597, kb_relative_information_score: 26877.2314, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9428, predictive_accuracy: 0.9431, prior_entropy: 0.863, recall: 0.9431, relative_absolute_error: 0.2293, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4527, scimark_benchmark: 1326.3685, usercpu_time_millis: 42.287, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 41.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9442, kappa: 0.863, kb_relative_information_score: 27151.0574, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9441, predictive_accuracy: 0.9443, prior_entropy: 0.863, recall: 0.9443, relative_absolute_error: 0.2202, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.447, scimark_benchmark: 1333.6575, usercpu_time_millis: 44.585, usercpu_time_millis_testing: 0.427, usercpu_time_millis_training: 44.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9429, kappa: 0.8598, kb_relative_information_score: 26851.4466, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9428, predictive_accuracy: 0.9431, prior_entropy: 0.863, recall: 0.9431, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4518, scimark_benchmark: 1317.2317, usercpu_time_millis: 50.624, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 50.187,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9315, kappa: 0.8307, kb_relative_information_score: 22889.5294, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9314, predictive_accuracy: 0.932, prior_entropy: 0.863, recall: 0.932, relative_absolute_error: 0.3628, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.5242, scimark_benchmark: 1323.4566, usercpu_time_millis: 12.392, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 11.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1325.4178, usercpu_time_millis: 6.019, usercpu_time_millis_testing: 0.496, usercpu_time_millis_training: 5.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8914, kappa: 0.7277, kb_relative_information_score: 16322.9386, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8935, predictive_accuracy: 0.8945, prior_entropy: 0.863, recall: 0.8945, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.6516, scimark_benchmark: 1328.3691, usercpu_time_millis: 7.672, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 7.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9329, kappa: 0.8344, kb_relative_information_score: 24084.9149, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9329, predictive_accuracy: 0.9335, prior_entropy: 0.863, recall: 0.9335, relative_absolute_error: 0.3222, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.5046, scimark_benchmark: 1321.3353, usercpu_time_millis: 13.319, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 12.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9374, kappa: 0.846, kb_relative_information_score: 25101.1714, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9373, predictive_accuracy: 0.9377, prior_entropy: 0.863, recall: 0.9377, relative_absolute_error: 0.2889, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.486, scimark_benchmark: 1314.3434, usercpu_time_millis: 19.545, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 19.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1338.1369, usercpu_time_millis: 6.292, usercpu_time_millis_testing: 0.559, usercpu_time_millis_training: 5.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1325.7829, usercpu_time_millis: 7.098, usercpu_time_millis_testing: 0.552, usercpu_time_millis_training: 6.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1330.6337, usercpu_time_millis: 9.012, usercpu_time_millis_testing: 0.604, usercpu_time_millis_training: 8.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.733, kappa: 0.3161, kb_relative_information_score: 9395.8967, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8265, predictive_accuracy: 0.7833, prior_entropy: 0.863, recall: 0.7833, relative_absolute_error: 0.779, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.8004, scimark_benchmark: 1340.6458, usercpu_time_millis: 10.254, usercpu_time_millis_testing: 0.714, usercpu_time_millis_training: 9.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1326.8367, usercpu_time_millis: 10.049, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 9.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.5973, kappa: 0.0041, kb_relative_information_score: 5750.781, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7964, predictive_accuracy: 0.7152, prior_entropy: 0.863, recall: 0.7152, relative_absolute_error: 0.8767, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8826, scimark_benchmark: 1338.1199, usercpu_time_millis: 11.645, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 10.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1352.43, usercpu_time_millis: 7.382, usercpu_time_millis_testing: 0.57, usercpu_time_millis_training: 6.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1318.5153, usercpu_time_millis: 8.791, usercpu_time_millis_testing: 0.686, usercpu_time_millis_training: 8.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9239, kappa: 0.8106, kb_relative_information_score: 21237.6293, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9247, predictive_accuracy: 0.9252, prior_entropy: 0.863, recall: 0.9252, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.5526, scimark_benchmark: 1332.9271, usercpu_time_millis: 11.006, usercpu_time_millis_testing: 0.653, usercpu_time_millis_training: 10.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9206, kappa: 0.802, kb_relative_information_score: 19639.8485, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9218, predictive_accuracy: 0.9222, prior_entropy: 0.863, recall: 0.9222, relative_absolute_error: 0.4731, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.582, scimark_benchmark: 1328.3072, usercpu_time_millis: 11.391, usercpu_time_millis_testing: 0.525, usercpu_time_millis_training: 10.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9399, kappa: 0.8523, kb_relative_information_score: 25888.6016, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9398, predictive_accuracy: 0.9402, prior_entropy: 0.863, recall: 0.9402, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.4713, scimark_benchmark: 1350.9856, usercpu_time_millis: 26.947, usercpu_time_millis_testing: 0.635, usercpu_time_millis_training: 26.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1341.9257, usercpu_time_millis: 9.04, usercpu_time_millis_testing: 0.748, usercpu_time_millis_training: 8.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1327.8431, usercpu_time_millis: 8.229, usercpu_time_millis_testing: 0.728, usercpu_time_millis_training: 7.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8782, kappa: 0.6926, kb_relative_information_score: 13255.4144, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8837, predictive_accuracy: 0.8834, prior_entropy: 0.863, recall: 0.8834, relative_absolute_error: 0.6693, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.7161, scimark_benchmark: 1323.76, usercpu_time_millis: 9.308, usercpu_time_millis_testing: 0.656, usercpu_time_millis_training: 8.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1330.9934, usercpu_time_millis: 8.633, usercpu_time_millis_testing: 0.73, usercpu_time_millis_training: 7.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9306, kappa: 0.8282, kb_relative_information_score: 23222.6345, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9307, predictive_accuracy: 0.9314, prior_entropy: 0.863, recall: 0.9314, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.5183, scimark_benchmark: 1341.7901, usercpu_time_millis: 12.696, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 12.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9439, kappa: 0.862, kb_relative_information_score: 27105.507, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9438, predictive_accuracy: 0.944, prior_entropy: 0.863, recall: 0.944, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.4489, scimark_benchmark: 1336.7627, usercpu_time_millis: 54.699, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 54.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1314.2864, usercpu_time_millis: 6.551, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 6.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1346.6477, usercpu_time_millis: 5.857, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 5.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1348.6231, usercpu_time_millis: 5.973, usercpu_time_millis_testing: 0.519, usercpu_time_millis_training: 5.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1346.2008, usercpu_time_millis: 7.23, usercpu_time_millis_testing: 0.927, usercpu_time_millis_training: 6.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1332.1932, usercpu_time_millis: 7.717, usercpu_time_millis_testing: 0.618, usercpu_time_millis_training: 7.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1334.8755, usercpu_time_millis: 8.202, usercpu_time_millis_testing: 0.635, usercpu_time_millis_training: 7.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.4037, 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: 1341.991, usercpu_time_millis: 6.2, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 5.687,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs