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: 1278.873, usercpu_time_millis: 9.647, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 9.1,
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: 1285.4299, usercpu_time_millis: 8.827, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 8.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.9, kappa: 0.7505, kb_relative_information_score: 20952.0672, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9008, predictive_accuracy: 0.9021, prior_entropy: 0.863, recall: 0.9021, relative_absolute_error: 0.4225, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.6522, scimark_benchmark: 1294.1038, usercpu_time_millis: 11.574, usercpu_time_millis_testing: 0.532, usercpu_time_millis_training: 11.042,
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: 1264.9569, usercpu_time_millis: 8.682, usercpu_time_millis_testing: 0.427, usercpu_time_millis_training: 8.255,
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: 1274.8385, usercpu_time_millis: 11.243, usercpu_time_millis_testing: 1.068, usercpu_time_millis_training: 10.175,
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: 1288.1233, usercpu_time_millis: 7.863, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 7.417,
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: 1291.2555, usercpu_time_millis: 6.702, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 6.265,
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: 1297.7989, usercpu_time_millis: 7.921, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 7.394,
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: 1303.3355, usercpu_time_millis: 8.246, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 7.776,
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: 1280.6906, usercpu_time_millis: 8.856, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 8.409,
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: 1291.7182, usercpu_time_millis: 8.095, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 7.606,
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: 1272.3905, usercpu_time_millis: 8.292, usercpu_time_millis_testing: 0.433, usercpu_time_millis_training: 7.859,
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: 1289.7336, usercpu_time_millis: 11.121, usercpu_time_millis_testing: -0.042, usercpu_time_millis_training: 11.163,
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: 1299.0207, usercpu_time_millis: 9.873, usercpu_time_millis_testing: 1, usercpu_time_millis_training: 8.873,
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: 1300.5173, usercpu_time_millis: 10.333, usercpu_time_millis_testing: 0.937, usercpu_time_millis_training: 9.396,
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: 1289.3733, usercpu_time_millis: 7.564, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 7.075,
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: 1275.1961, usercpu_time_millis: 8.221, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 7.773,
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: 1300.8038, usercpu_time_millis: 8.47, usercpu_time_millis_testing: 0.956, usercpu_time_millis_training: 7.514,
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: 1300.9855, usercpu_time_millis: 10.522, usercpu_time_millis_testing: 0.425, usercpu_time_millis_training: 10.097,
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: 1300.6716, usercpu_time_millis: 8.088, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 7.679,
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: 1278.339, usercpu_time_millis: 9.715, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 9.2,
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: 1292.2193, usercpu_time_millis: 7.105, usercpu_time_millis_testing: 0.609, usercpu_time_millis_training: 6.496,
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: 1285.7686, usercpu_time_millis: 8.243, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 7.782,
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: 1301.6423, usercpu_time_millis: 9.829, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 9.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8983, kappa: 0.7472, kb_relative_information_score: 20600.8294, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8984, predictive_accuracy: 0.8999, prior_entropy: 0.863, recall: 0.8999, relative_absolute_error: 0.4342, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.6604, scimark_benchmark: 1298.0553, usercpu_time_millis: 13.173, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 12.69,
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: 1285.0412, usercpu_time_millis: 8.323, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 7.9,
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: 1288.9237, usercpu_time_millis: 9.342, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 8.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.8812, kappa: 0.7082, kb_relative_information_score: 18507.005, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.881, predictive_accuracy: 0.8815, prior_entropy: 0.863, recall: 0.8815, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.7025, scimark_benchmark: 1297.333, usercpu_time_millis: 9.997, usercpu_time_millis_testing: 0.93, usercpu_time_millis_training: 9.067,
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: 1291.6065, usercpu_time_millis: 9.908, usercpu_time_millis_testing: 0.494, usercpu_time_millis_training: 9.414,
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: 1276.5166, usercpu_time_millis: 8.525, usercpu_time_millis_testing: -0.443, usercpu_time_millis_training: 8.968,
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: 1282.9235, usercpu_time_millis: 8.778, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 8.377,
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: 1282.1413, usercpu_time_millis: 8.275, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 7.83,
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: 1301.1169, usercpu_time_millis: 8.058, usercpu_time_millis_testing: 0.433, usercpu_time_millis_training: 7.625,
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: 1298.1726, usercpu_time_millis: 8.029, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 7.559,
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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: 1294.8462, usercpu_time_millis: 9.256, usercpu_time_millis_testing: 0.623, usercpu_time_millis_training: 8.633,
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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: 1297.7975, usercpu_time_millis: 11.826, usercpu_time_millis_testing: 0.564, usercpu_time_millis_training: 11.262,
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: 1295.4901, usercpu_time_millis: 9.82, usercpu_time_millis_testing: 0.988, usercpu_time_millis_training: 8.832,
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: 1290.0399, usercpu_time_millis: 7.534, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 7.073,
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: 1297.163, usercpu_time_millis: 13.824, usercpu_time_millis_testing: 0.574, usercpu_time_millis_training: 13.25,
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: 1293.326, usercpu_time_millis: 10.182, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 9.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.9171, kappa: 0.7925, kb_relative_information_score: 23540.359, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9194, predictive_accuracy: 0.9192, prior_entropy: 0.863, recall: 0.9192, relative_absolute_error: 0.3355, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.5806, scimark_benchmark: 1287.4627, usercpu_time_millis: 13.275, usercpu_time_millis_testing: 0.911, usercpu_time_millis_training: 12.364,
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: 1292.7885, usercpu_time_millis: 8.486, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 8.028,
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: 1278.7627, usercpu_time_millis: 7.914, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 7.447,
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: 1279.799, usercpu_time_millis: 8.523, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 8.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6172, f_measure: 0.6752, kappa: 0.1708, kb_relative_information_score: 3053.8382, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7379, predictive_accuracy: 0.7417, prior_entropy: 0.863, recall: 0.7417, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.958, scimark_benchmark: 1287.7138, usercpu_time_millis: 8.932, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 8.483,
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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: 1298.9553, usercpu_time_millis: 9.797, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 9.259,
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: 1295.9306, usercpu_time_millis: 9.382, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 8.948,
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: 1282.9499, usercpu_time_millis: 7.894, usercpu_time_millis_testing: 0.901, usercpu_time_millis_training: 6.993,
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: 1300.5826, usercpu_time_millis: 9.739, usercpu_time_millis_testing: 0.506, usercpu_time_millis_training: 9.233,
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: 1295.1574, usercpu_time_millis: 9.883, usercpu_time_millis_testing: 0.942, usercpu_time_millis_training: 8.941,
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: 1295.9429, usercpu_time_millis: 9.799, usercpu_time_millis_testing: 0.537, usercpu_time_millis_training: 9.262,
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: 1294.9646, usercpu_time_millis: 10.451, usercpu_time_millis_testing: 0.475, usercpu_time_millis_training: 9.976,
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: 1279.3244, usercpu_time_millis: 7.924, usercpu_time_millis_testing: -0.049, usercpu_time_millis_training: 7.973,
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: 1294.8878, usercpu_time_millis: 11.717, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 11.624,
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: 1294.9749, usercpu_time_millis: 11.375, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 10.907,
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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: 1295.935, usercpu_time_millis: 10.017, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 9.54,
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: 1307.0084, usercpu_time_millis: 7.233, usercpu_time_millis_testing: 0.438, usercpu_time_millis_training: 6.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9681, kappa: 0.9217, kb_relative_information_score: 29984.2789, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9681, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.1366, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.3499, scimark_benchmark: 1286.0824, usercpu_time_millis: 4836.706, usercpu_time_millis_testing: 20.431, usercpu_time_millis_training: 4816.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9388, kappa: 0.8492, kb_relative_information_score: 27035.9898, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9387, predictive_accuracy: 0.9391, prior_entropy: 0.863, recall: 0.9391, relative_absolute_error: 0.2218, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4754, scimark_benchmark: 1322.0101, usercpu_time_millis: 15539.265, usercpu_time_millis_testing: 166.404, usercpu_time_millis_training: 15372.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9285, kappa: 0.8206, kb_relative_information_score: 19195.0588, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9328, predictive_accuracy: 0.9307, prior_entropy: 0.863, recall: 0.9307, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.5813, scimark_benchmark: 1294.3777, usercpu_time_millis: 158.526, usercpu_time_millis_testing: 11.667, usercpu_time_millis_training: 146.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9636, kappa: 0.9106, kb_relative_information_score: 29116.4757, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9636, predictive_accuracy: 0.9637, prior_entropy: 0.863, recall: 0.9637, relative_absolute_error: 0.1647, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3718, scimark_benchmark: 1299.6188, usercpu_time_millis: 160.56, usercpu_time_millis_testing: 5.862, usercpu_time_millis_training: 154.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9498, kappa: 0.8769, kb_relative_information_score: 28349.8049, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9498, predictive_accuracy: 0.9498, prior_entropy: 0.863, recall: 0.9498, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.4253, scimark_benchmark: 1299.3059, usercpu_time_millis: 11203.288, usercpu_time_millis_testing: 73.525, usercpu_time_millis_training: 11129.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9572, kappa: 0.8948, kb_relative_information_score: 29164.5304, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9571, predictive_accuracy: 0.9573, prior_entropy: 0.863, recall: 0.9573, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.3984, scimark_benchmark: 1285.0456, usercpu_time_millis: 11319.071, usercpu_time_millis_testing: 91.049, usercpu_time_millis_training: 11228.022,

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