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: 0.8683, f_measure: 0.8976, kappa: 0.746, kb_relative_information_score: 20437.8921, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8975, predictive_accuracy: 0.8991, prior_entropy: 0.863, recall: 0.8991, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.6639, scimark_benchmark: 1302.2193, usercpu_time_millis: 11.557, usercpu_time_millis_testing: 0.523, usercpu_time_millis_training: 11.034,
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: 1311.7768, usercpu_time_millis: 8.583, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 8.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1295.9372, usercpu_time_millis: 11.32, usercpu_time_millis_testing: 0.514, usercpu_time_millis_training: 10.806,
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: 1295.9738, usercpu_time_millis: 12.47, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 11.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1312.5378, usercpu_time_millis: 10.697, usercpu_time_millis_testing: 0.519, usercpu_time_millis_training: 10.178,
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: 1313.5584, usercpu_time_millis: 9.709, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 9.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1311.9592, usercpu_time_millis: 12.062, usercpu_time_millis_testing: 0.803, usercpu_time_millis_training: 11.259,
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: 1315.1031, usercpu_time_millis: 10.003, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 9.572,
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: 1320.7159, usercpu_time_millis: 7.513, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 7.098,
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: 1317.6245, usercpu_time_millis: 8.528, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 8.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.8016, kappa: 0.4985, kb_relative_information_score: 10755.5869, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8027, predictive_accuracy: 0.8106, prior_entropy: 0.863, recall: 0.8106, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.8415, scimark_benchmark: 1308.6825, usercpu_time_millis: 9.359, usercpu_time_millis_testing: 0.686, usercpu_time_millis_training: 8.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.905, kappa: 0.761, kb_relative_information_score: 21848.0108, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9094, predictive_accuracy: 0.9083, prior_entropy: 0.863, recall: 0.9083, relative_absolute_error: 0.393, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.284, root_relative_squared_error: 0.6287, scimark_benchmark: 1316.6286, usercpu_time_millis: 10.8, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 10.38,
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: 1307.4802, usercpu_time_millis: 9.732, usercpu_time_millis_testing: 0.525, usercpu_time_millis_training: 9.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1317.3547, usercpu_time_millis: 7.954, usercpu_time_millis_testing: 0.462, usercpu_time_millis_training: 7.492,
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: 1309.9275, usercpu_time_millis: 10.219, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 9.775,
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: 1304.17, usercpu_time_millis: 10.32, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 9.843,
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: 1307.8466, usercpu_time_millis: 10.212, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 9.674,
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: 1305.0852, usercpu_time_millis: 10.77, usercpu_time_millis_testing: 0.593, usercpu_time_millis_training: 10.177,
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: 1302.8804, usercpu_time_millis: 9.473, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 9.045,
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: 1314.204, usercpu_time_millis: 7.943, usercpu_time_millis_testing: 0.419, usercpu_time_millis_training: 7.524,
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: 1310.2126, usercpu_time_millis: 9.019, usercpu_time_millis_testing: 0.463, usercpu_time_millis_training: 8.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1310.2593, usercpu_time_millis: 10.396, usercpu_time_millis_testing: 0.584, usercpu_time_millis_training: 9.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1315.4847, usercpu_time_millis: 9.947, usercpu_time_millis_testing: 0.554, usercpu_time_millis_training: 9.393,
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: 1313.8049, usercpu_time_millis: 10.139, usercpu_time_millis_testing: 0.499, usercpu_time_millis_training: 9.64,
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: 1305.9686, usercpu_time_millis: 10.196, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 9.699,
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: 1317.3794, usercpu_time_millis: 8.188, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 7.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1314.0518, usercpu_time_millis: 8.578, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 8.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1310.4579, usercpu_time_millis: 8.243, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 7.831,
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: 1318.1862, usercpu_time_millis: 7.813, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 7.415,
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: 1320.3976, usercpu_time_millis: 7.807, usercpu_time_millis_testing: 0.516, usercpu_time_millis_training: 7.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1321.5236, usercpu_time_millis: 7.44, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 6.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.9213, kappa: 0.8038, kb_relative_information_score: 24002.1567, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9226, predictive_accuracy: 0.9229, prior_entropy: 0.863, recall: 0.9229, relative_absolute_error: 0.323, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.5698, scimark_benchmark: 1318.2707, usercpu_time_millis: 14.816, usercpu_time_millis_testing: 0.526, usercpu_time_millis_training: 14.29,
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: 1299.2588, usercpu_time_millis: 13.675, usercpu_time_millis_testing: 0.652, usercpu_time_millis_training: 13.023,
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: 1304.1532, usercpu_time_millis: 11.11, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 10.569,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9667, kappa: 0.9182, kb_relative_information_score: 29942.4744, mean_absolute_error: 0.0559, 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: 0.1369, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3564, scimark_benchmark: 1295.5824, usercpu_time_millis: 15805.905, usercpu_time_millis_testing: 44.071, usercpu_time_millis_training: 15761.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1311.8827, usercpu_time_millis: 7.815, usercpu_time_millis_testing: 0.542, usercpu_time_millis_training: 7.273,
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: 1301.6642, usercpu_time_millis: 10.198, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 9.785,
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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: 1303.3227, usercpu_time_millis: 9.221, usercpu_time_millis_testing: 0.578, usercpu_time_millis_training: 8.643,
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: 1305.6038, usercpu_time_millis: 9.882, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 9.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1316.0072, usercpu_time_millis: 9.475, usercpu_time_millis_testing: 0.521, usercpu_time_millis_training: 8.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8976, kappa: 0.746, kb_relative_information_score: 20437.8921, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8975, predictive_accuracy: 0.8991, prior_entropy: 0.863, recall: 0.8991, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.6639, scimark_benchmark: 1299.2122, usercpu_time_millis: 10.21, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 9.695,
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: 1316.1582, usercpu_time_millis: 9.653, usercpu_time_millis_testing: 0.504, usercpu_time_millis_training: 9.149,
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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: 1313.158, usercpu_time_millis: 9.934, usercpu_time_millis_testing: 0.583, usercpu_time_millis_training: 9.351,
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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: 1317.5749, usercpu_time_millis: 8.205, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 7.748,
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: 1316.9869, usercpu_time_millis: 8.358, usercpu_time_millis_testing: 0.491, usercpu_time_millis_training: 7.867,
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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: 1319.1695, usercpu_time_millis: 8.271, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 7.856,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.9219, kappa: 0.8053, kb_relative_information_score: 24040.5961, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9231, predictive_accuracy: 0.9234, prior_entropy: 0.863, recall: 0.9234, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5688, scimark_benchmark: 1304.0295, usercpu_time_millis: 14.243, usercpu_time_millis_testing: 0.528, usercpu_time_millis_training: 13.715,
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: 1315.7803, usercpu_time_millis: 7.6, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 7.146,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.7354, kappa: 0.3188, kb_relative_information_score: 6186.4122, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.763, predictive_accuracy: 0.7702, prior_entropy: 0.863, recall: 0.7702, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.412, root_relative_squared_error: 0.912, scimark_benchmark: 1309.1536, usercpu_time_millis: 8.925, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 8.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.9039, kappa: 0.7589, kb_relative_information_score: 21558.856, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9067, predictive_accuracy: 0.9067, prior_entropy: 0.863, recall: 0.9067, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6364, scimark_benchmark: 1314.1675, usercpu_time_millis: 11.421, usercpu_time_millis_testing: 0.485, usercpu_time_millis_training: 10.936,
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: 1317.6861, usercpu_time_millis: 9.022, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 8.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1328.3648, usercpu_time_millis: 9.229, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 8.688,
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: 1303.6042, usercpu_time_millis: 11.279, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 10.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.9072, kappa: 0.766, kb_relative_information_score: 22183.0473, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9136, predictive_accuracy: 0.9109, prior_entropy: 0.863, recall: 0.9109, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.6191, scimark_benchmark: 1320.9378, usercpu_time_millis: 12.34, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 11.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1312.4175, usercpu_time_millis: 7.789, usercpu_time_millis_testing: 0.456, usercpu_time_millis_training: 7.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.855, kappa: 0.6497, kb_relative_information_score: 15466.9428, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8532, prior_entropy: 0.863, recall: 0.8532, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7591, scimark_benchmark: 1305.383, usercpu_time_millis: 9.275, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 8.774,

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