OpenML
Supervised Classification on analcatdata_broadwaymult

Supervised Classification on analcatdata_broadwaymult

Task 3824 Supervised Classification analcatdata_broadwaymult 506 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.6959, kappa: 0.369, kb_relative_information_score: 74.4892, mean_absolute_error: 0.3666, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.7034, predictive_accuracy: 0.7053, prior_entropy: 0.9789, recall: 0.7053, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.894, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4662, f_measure: 0.5471, kappa: 0.066, kb_relative_information_score: -11.3475, mean_absolute_error: 0.5052, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.5468, predictive_accuracy: 0.5474, prior_entropy: 0.9789, recall: 0.5474, relative_absolute_error: 1.0409, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6312, root_relative_squared_error: 1.2815, scimark_benchmark: 1323.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4662, f_measure: 0.5471, kappa: 0.066, kb_relative_information_score: -11.3475, mean_absolute_error: 0.5052, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.5468, predictive_accuracy: 0.5474, prior_entropy: 0.9789, recall: 0.5474, relative_absolute_error: 1.0409, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6312, root_relative_squared_error: 1.2815, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4662, f_measure: 0.5471, kappa: 0.066, kb_relative_information_score: -11.3475, mean_absolute_error: 0.5052, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.5468, predictive_accuracy: 0.5474, prior_entropy: 0.9789, recall: 0.5474, relative_absolute_error: 1.0409, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6312, root_relative_squared_error: 1.2815, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.7723, kappa: 0.5317, kb_relative_information_score: 103.1555, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.7729, predictive_accuracy: 0.7719, prior_entropy: 0.9789, recall: 0.7719, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8538, scimark_benchmark: 1306.9281, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, f_measure: 0.544, kappa: 0.055, kb_relative_information_score: 14.7931, mean_absolute_error: 0.4586, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.5435, predictive_accuracy: 0.5614, prior_entropy: 0.9789, recall: 0.5614, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.0034, scimark_benchmark: 1313.5633, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7611, kappa: 0.507, kb_relative_information_score: 95.4092, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.7609, predictive_accuracy: 0.7614, prior_entropy: 0.9789, recall: 0.7614, relative_absolute_error: 0.6893, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8198, scimark_benchmark: 1319.5773, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7482, kappa: 0.4832, kb_relative_information_score: 107.4602, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.7497, predictive_accuracy: 0.7474, prior_entropy: 0.9789, recall: 0.7474, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.854, scimark_benchmark: 1337.4384, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, f_measure: 0.5069, kappa: 0.0528, kb_relative_information_score: 42.8476, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.5736, predictive_accuracy: 0.593, prior_entropy: 0.9789, recall: 0.593, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.638, root_relative_squared_error: 1.2952, scimark_benchmark: 1342.8584, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, f_measure: 0.5069, kappa: 0.0528, kb_relative_information_score: 42.8476, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.5736, predictive_accuracy: 0.593, prior_entropy: 0.9789, recall: 0.593, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.638, root_relative_squared_error: 1.2952, scimark_benchmark: 1347.7267, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4662, f_measure: 0.5471, kappa: 0.066, kb_relative_information_score: -11.3475, mean_absolute_error: 0.5052, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.5468, predictive_accuracy: 0.5474, prior_entropy: 0.9789, recall: 0.5474, relative_absolute_error: 1.0409, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6312, root_relative_squared_error: 1.2815, scimark_benchmark: 1335.2357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3592, f_measure: 0.4261, kappa: -0.1861, kb_relative_information_score: -43.67, mean_absolute_error: 0.5484, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.4244, predictive_accuracy: 0.4281, prior_entropy: 0.9789, recall: 0.4281, relative_absolute_error: 1.1299, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6048, root_relative_squared_error: 1.2278, scimark_benchmark: 1371.174, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5564, f_measure: 0.5336, kappa: 0.0322, kb_relative_information_score: 4.5694, mean_absolute_error: 0.469, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.5307, predictive_accuracy: 0.5404, prior_entropy: 0.9789, recall: 0.5404, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.5789, root_relative_squared_error: 1.1752, scimark_benchmark: 1314.2279, usercpu_time_millis: 150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4662, f_measure: 0.5471, kappa: 0.066, kb_relative_information_score: -11.3475, mean_absolute_error: 0.5052, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.5468, predictive_accuracy: 0.5474, prior_entropy: 0.9789, recall: 0.5474, relative_absolute_error: 1.0409, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6312, root_relative_squared_error: 1.2815, scimark_benchmark: 1327.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4662, f_measure: 0.5471, kappa: 0.066, kb_relative_information_score: -11.3475, mean_absolute_error: 0.5052, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.5468, predictive_accuracy: 0.5474, prior_entropy: 0.9789, recall: 0.5474, relative_absolute_error: 1.0409, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6312, root_relative_squared_error: 1.2815, scimark_benchmark: 1333.1149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, f_measure: 0.544, kappa: 0.055, kb_relative_information_score: 14.7931, mean_absolute_error: 0.4586, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.5435, predictive_accuracy: 0.5614, prior_entropy: 0.9789, recall: 0.5614, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.0034, scimark_benchmark: 1325.6322, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.7658, kappa: 0.5197, kb_relative_information_score: 114.013, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.7676, predictive_accuracy: 0.7649, prior_entropy: 0.9789, recall: 0.7649, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.398, root_relative_squared_error: 0.808, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7482, kappa: 0.4832, kb_relative_information_score: 107.4602, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.7497, predictive_accuracy: 0.7474, prior_entropy: 0.9789, recall: 0.7474, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.854, scimark_benchmark: 1299.6719, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, f_measure: 0.5069, kappa: 0.0528, kb_relative_information_score: 42.8476, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.5736, predictive_accuracy: 0.593, prior_entropy: 0.9789, recall: 0.593, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.638, root_relative_squared_error: 1.2952, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, f_measure: 0.5069, kappa: 0.0528, kb_relative_information_score: 42.8476, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.5736, predictive_accuracy: 0.593, prior_entropy: 0.9789, recall: 0.593, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.638, root_relative_squared_error: 1.2952, scimark_benchmark: 1370.3901, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.7723, kappa: 0.5317, kb_relative_information_score: 103.1555, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.7729, predictive_accuracy: 0.7719, prior_entropy: 0.9789, recall: 0.7719, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8538, scimark_benchmark: 1365.0842, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, f_measure: 0.544, kappa: 0.055, kb_relative_information_score: 14.7931, mean_absolute_error: 0.4586, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.5435, predictive_accuracy: 0.5614, prior_entropy: 0.9789, recall: 0.5614, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.0034, scimark_benchmark: 1370.3901, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, f_measure: 0.5069, kappa: 0.0528, kb_relative_information_score: 42.8476, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.5736, predictive_accuracy: 0.593, prior_entropy: 0.9789, recall: 0.593, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.638, root_relative_squared_error: 1.2952, scimark_benchmark: 1394.7099, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.6959, kappa: 0.369, kb_relative_information_score: 74.4892, mean_absolute_error: 0.3666, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.7034, predictive_accuracy: 0.7053, prior_entropy: 0.9789, recall: 0.7053, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.894, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7611, kappa: 0.507, kb_relative_information_score: 95.4092, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.7609, predictive_accuracy: 0.7614, prior_entropy: 0.9789, recall: 0.7614, relative_absolute_error: 0.6893, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8198, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.6959, kappa: 0.369, kb_relative_information_score: 74.4892, mean_absolute_error: 0.3666, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.7034, predictive_accuracy: 0.7053, prior_entropy: 0.9789, recall: 0.7053, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.894, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4662, f_measure: 0.5471, kappa: 0.066, kb_relative_information_score: -11.3475, mean_absolute_error: 0.5052, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.5468, predictive_accuracy: 0.5474, prior_entropy: 0.9789, recall: 0.5474, relative_absolute_error: 1.0409, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6312, root_relative_squared_error: 1.2815, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, f_measure: 0.544, kappa: 0.055, kb_relative_information_score: 14.7931, mean_absolute_error: 0.4586, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.5435, predictive_accuracy: 0.5614, prior_entropy: 0.9789, recall: 0.5614, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.0034, scimark_benchmark: 1281.7531, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.7658, kappa: 0.5197, kb_relative_information_score: 114.013, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.7676, predictive_accuracy: 0.7649, prior_entropy: 0.9789, recall: 0.7649, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.398, root_relative_squared_error: 0.808, scimark_benchmark: 1320.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, f_measure: 0.5069, kappa: 0.0528, kb_relative_information_score: 42.8476, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.5736, predictive_accuracy: 0.593, prior_entropy: 0.9789, recall: 0.593, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.638, root_relative_squared_error: 1.2952, scimark_benchmark: 932.5646, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3592, f_measure: 0.4261, kappa: -0.1861, kb_relative_information_score: -43.67, mean_absolute_error: 0.5484, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.4244, predictive_accuracy: 0.4281, prior_entropy: 0.9789, recall: 0.4281, relative_absolute_error: 1.1299, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6048, root_relative_squared_error: 1.2278, scimark_benchmark: 1314.7093, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5564, f_measure: 0.5336, kappa: 0.0322, kb_relative_information_score: 4.5694, mean_absolute_error: 0.469, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.5307, predictive_accuracy: 0.5404, prior_entropy: 0.9789, recall: 0.5404, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.5789, root_relative_squared_error: 1.1752, scimark_benchmark: 1341.5795, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4662, f_measure: 0.5471, kappa: 0.066, kb_relative_information_score: -11.3475, mean_absolute_error: 0.5052, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.5468, predictive_accuracy: 0.5474, prior_entropy: 0.9789, recall: 0.5474, relative_absolute_error: 1.0409, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6312, root_relative_squared_error: 1.2815, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.6959, kappa: 0.369, kb_relative_information_score: 74.4892, mean_absolute_error: 0.3666, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.7034, predictive_accuracy: 0.7053, prior_entropy: 0.9789, recall: 0.7053, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.894, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4662, f_measure: 0.5471, kappa: 0.066, kb_relative_information_score: -11.3475, mean_absolute_error: 0.5052, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.5468, predictive_accuracy: 0.5474, prior_entropy: 0.9789, recall: 0.5474, relative_absolute_error: 1.0409, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6312, root_relative_squared_error: 1.2815, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4662, f_measure: 0.5471, kappa: 0.066, kb_relative_information_score: -11.3475, mean_absolute_error: 0.5052, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.5468, predictive_accuracy: 0.5474, prior_entropy: 0.9789, recall: 0.5474, relative_absolute_error: 1.0409, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6312, root_relative_squared_error: 1.2815, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4662, f_measure: 0.5471, kappa: 0.066, kb_relative_information_score: -11.3475, mean_absolute_error: 0.5052, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.5468, predictive_accuracy: 0.5474, prior_entropy: 0.9789, recall: 0.5474, relative_absolute_error: 1.0409, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6312, root_relative_squared_error: 1.2815, scimark_benchmark: 1288.1375,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.7694, kappa: 0.5274, kb_relative_information_score: 114.4002, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.7715, predictive_accuracy: 0.7684, prior_entropy: 0.9789, recall: 0.7684, relative_absolute_error: 0.621, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8875, scimark_benchmark: 1321.1875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7482, kappa: 0.4832, kb_relative_information_score: 107.4602, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.7497, predictive_accuracy: 0.7474, prior_entropy: 0.9789, recall: 0.7474, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.854, scimark_benchmark: 1342.2905, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7798, kappa: 0.5484, kb_relative_information_score: 128.046, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.7815, predictive_accuracy: 0.7789, prior_entropy: 0.9789, recall: 0.7789, relative_absolute_error: 0.5624, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8472, scimark_benchmark: 1324.8395, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7611, kappa: 0.507, kb_relative_information_score: 95.4092, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.7609, predictive_accuracy: 0.7614, prior_entropy: 0.9789, recall: 0.7614, relative_absolute_error: 0.6893, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8198, scimark_benchmark: 1327.9952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.7289, kappa: 0.4408, kb_relative_information_score: 40.8581, mean_absolute_error: 0.4309, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.7575, predictive_accuracy: 0.7439, prior_entropy: 0.9789, recall: 0.7439, relative_absolute_error: 0.8879, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.9013, scimark_benchmark: 1341.468, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.7185, kappa: 0.4186, kb_relative_information_score: 90.9188, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.7181, predictive_accuracy: 0.7193, prior_entropy: 0.9789, recall: 0.7193, relative_absolute_error: 0.6913, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9094, scimark_benchmark: 1316.781, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8068, f_measure: 0.7895, kappa: 0.5661, kb_relative_information_score: 116.9235, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.7895, predictive_accuracy: 0.7895, prior_entropy: 0.9789, recall: 0.7895, relative_absolute_error: 0.6128, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8419, scimark_benchmark: 1392.311, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.7827, kappa: 0.5528, kb_relative_information_score: 112.0602, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.7831, predictive_accuracy: 0.7825, prior_entropy: 0.9789, recall: 0.7825, relative_absolute_error: 0.6306, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8357, scimark_benchmark: 1343.4572, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.7926, kappa: 0.5718, kb_relative_information_score: 115.4826, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.7923, predictive_accuracy: 0.793, prior_entropy: 0.9789, recall: 0.793, relative_absolute_error: 0.621, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.809, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3522, f_measure: 0.4448, kappa: -0.1348, kb_relative_information_score: -40.1953, mean_absolute_error: 0.5415, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.4341, predictive_accuracy: 0.4877, prior_entropy: 0.9789, recall: 0.4877, relative_absolute_error: 1.1157, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.5836, root_relative_squared_error: 1.1848, scimark_benchmark: 1342.5243, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3592, f_measure: 0.4261, kappa: -0.1861, kb_relative_information_score: -43.67, mean_absolute_error: 0.5484, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.4244, predictive_accuracy: 0.4281, prior_entropy: 0.9789, recall: 0.4281, relative_absolute_error: 1.1299, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6048, root_relative_squared_error: 1.2278, scimark_benchmark: 1340.1351, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.7658, kappa: 0.5197, kb_relative_information_score: 114.013, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.7676, predictive_accuracy: 0.7649, prior_entropy: 0.9789, recall: 0.7649, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.398, root_relative_squared_error: 0.808, scimark_benchmark: 918.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7226, kappa: 0.4245, kb_relative_information_score: 90.4524, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.7237, predictive_accuracy: 0.7263, prior_entropy: 0.9789, recall: 0.7263, relative_absolute_error: 0.7054, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8472, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.7226, kappa: 0.4245, kb_relative_information_score: 90.4429, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.7237, predictive_accuracy: 0.7263, prior_entropy: 0.9789, recall: 0.7263, relative_absolute_error: 0.7054, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8471, scimark_benchmark: 918.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.7923, kappa: 0.5707, kb_relative_information_score: 161.7937, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.7921, predictive_accuracy: 0.793, prior_entropy: 0.9789, recall: 0.793, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9237, scimark_benchmark: 1332.4146, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4018, f_measure: 0.4167, kappa: -0.1943, kb_relative_information_score: -63.5778, mean_absolute_error: 0.586, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.4201, predictive_accuracy: 0.414, prior_entropy: 0.9789, recall: 0.414, relative_absolute_error: 1.2074, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.7655, root_relative_squared_error: 1.5541, scimark_benchmark: 915.6729, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4475, f_measure: 0.5494, kappa: 0.0775, kb_relative_information_score: -45.3784, mean_absolute_error: 0.5614, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.5525, predictive_accuracy: 0.5474, prior_entropy: 0.9789, recall: 0.5474, relative_absolute_error: 1.1567, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6642, root_relative_squared_error: 1.3484, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4869, f_measure: 0.433, kb_relative_information_score: -0.0631, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.9789, recall: 0.586, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4926, root_relative_squared_error: 1.0001, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3526, f_measure: 0.3541, kappa: -0.2055, kb_relative_information_score: -18.9863, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.3884, predictive_accuracy: 0.3649, prior_entropy: 0.9789, recall: 0.3649, relative_absolute_error: 1.0439, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.5074, root_relative_squared_error: 1.0301, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7445, f_measure: 0.7608, kappa: 0.5058, kb_relative_information_score: 95.4418, mean_absolute_error: 0.3397, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.7604, predictive_accuracy: 0.7614, prior_entropy: 0.9789, recall: 0.7614, relative_absolute_error: 0.7, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.428, root_relative_squared_error: 0.869, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.6925, kappa: 0.4139, kb_relative_information_score: 70.5613, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.7533, predictive_accuracy: 0.6947, prior_entropy: 0.9789, recall: 0.6947, relative_absolute_error: 0.7617, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.8882, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7226, kappa: 0.4245, kb_relative_information_score: 90.4406, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4853, number_of_instances: 285, precision: 0.7237, predictive_accuracy: 0.7263, prior_entropy: 0.9789, recall: 0.7263, relative_absolute_error: 0.7054, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8472, scimark_benchmark: 938.343,

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