Task
Supervised Classification on visualizing_galaxy

Supervised Classification on visualizing_galaxy

Task 3788 Supervised Classification visualizing_galaxy 623 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, build_cpu_time: 0.0653, build_memory: 788872713.7833, f_measure: 0.9381, kappa: 0.8753, kb_relative_information_score: 274.2052, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9381, predictive_accuracy: 0.9381, prior_entropy: 0.995, recall: 0.9381, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.4194, scimark_benchmark: 937.5329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9412, kappa: 0.8817, kb_relative_information_score: 268.1701, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9414, predictive_accuracy: 0.9412, prior_entropy: 0.995, recall: 0.9412, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.4583, scimark_benchmark: 1351.1238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.935, kappa: 0.8691, kb_relative_information_score: 266.2947, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.935, predictive_accuracy: 0.935, prior_entropy: 0.995, recall: 0.935, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.4654, scimark_benchmark: 1318.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.935, kappa: 0.8691, kb_relative_information_score: 266.2947, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.935, predictive_accuracy: 0.935, prior_entropy: 0.995, recall: 0.935, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.4654, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9566, kappa: 0.9125, kb_relative_information_score: 251.1508, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9568, predictive_accuracy: 0.9567, prior_entropy: 0.995, recall: 0.9567, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4158, scimark_benchmark: 1341.5795, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.938, kappa: 0.8752, kb_relative_information_score: 266.7031, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9381, predictive_accuracy: 0.9381, prior_entropy: 0.995, recall: 0.9381, relative_absolute_error: 0.186, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.4331, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.935, kappa: 0.8691, kb_relative_information_score: 261.8795, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.935, predictive_accuracy: 0.935, prior_entropy: 0.995, recall: 0.935, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.4794, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.935, kappa: 0.8691, kb_relative_information_score: 261.8795, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.935, predictive_accuracy: 0.935, prior_entropy: 0.995, recall: 0.935, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.4794, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.938, kappa: 0.8752, kb_relative_information_score: 277.7866, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9381, predictive_accuracy: 0.9381, prior_entropy: 0.995, recall: 0.9381, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.405, scimark_benchmark: 1278.6629, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.935, kappa: 0.8691, kb_relative_information_score: 266.2947, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.935, predictive_accuracy: 0.935, prior_entropy: 0.995, recall: 0.935, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.4654, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.938, kappa: 0.8752, kb_relative_information_score: 266.7031, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9381, predictive_accuracy: 0.9381, prior_entropy: 0.995, recall: 0.9381, relative_absolute_error: 0.186, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.4331, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9566, kappa: 0.9125, kb_relative_information_score: 251.1508, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9568, predictive_accuracy: 0.9567, prior_entropy: 0.995, recall: 0.9567, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4158, scimark_benchmark: 1322.3407, usercpu_time_millis: 310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.938, kappa: 0.8752, kb_relative_information_score: 266.7031, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9381, predictive_accuracy: 0.9381, prior_entropy: 0.995, recall: 0.9381, relative_absolute_error: 0.186, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.4331, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.935, kappa: 0.8691, kb_relative_information_score: 266.2947, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.935, predictive_accuracy: 0.935, prior_entropy: 0.995, recall: 0.935, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.4654, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.935, kappa: 0.8691, kb_relative_information_score: 266.2947, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.935, predictive_accuracy: 0.935, prior_entropy: 0.995, recall: 0.935, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.4654, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.935, kappa: 0.8691, kb_relative_information_score: 266.2947, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.935, predictive_accuracy: 0.935, prior_entropy: 0.995, recall: 0.935, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.4654, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.935, kappa: 0.8691, kb_relative_information_score: 261.8795, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.935, predictive_accuracy: 0.935, prior_entropy: 0.995, recall: 0.935, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.4794, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8806, kappa: 0.7595, kb_relative_information_score: 246.2176, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.8928, predictive_accuracy: 0.8824, prior_entropy: 0.995, recall: 0.8824, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6884, scimark_benchmark: 1325.8468, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9412, kappa: 0.8816, kb_relative_information_score: 275.6749, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9412, predictive_accuracy: 0.9412, prior_entropy: 0.995, recall: 0.9412, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.4297, scimark_benchmark: 1330.3848, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.935, kappa: 0.8691, kb_relative_information_score: 266.2947, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.935, predictive_accuracy: 0.935, prior_entropy: 0.995, recall: 0.935, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.4654, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.935, kappa: 0.8691, kb_relative_information_score: 266.2947, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.935, predictive_accuracy: 0.935, prior_entropy: 0.995, recall: 0.935, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.4654, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8806, kappa: 0.7595, kb_relative_information_score: 246.2176, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.8928, predictive_accuracy: 0.8824, prior_entropy: 0.995, recall: 0.8824, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6884, scimark_benchmark: 1296.8947, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.935, kappa: 0.8691, kb_relative_information_score: 261.8795, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.935, predictive_accuracy: 0.935, prior_entropy: 0.995, recall: 0.935, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.4794, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.935, kappa: 0.8691, kb_relative_information_score: 266.2947, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.935, predictive_accuracy: 0.935, prior_entropy: 0.995, recall: 0.935, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.4654, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9566, kappa: 0.9125, kb_relative_information_score: 251.1508, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9568, predictive_accuracy: 0.9567, prior_entropy: 0.995, recall: 0.9567, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4158, scimark_benchmark: 1360.6367, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9381, kappa: 0.8754, kb_relative_information_score: 264.5859, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9382, predictive_accuracy: 0.9381, prior_entropy: 0.995, recall: 0.9381, relative_absolute_error: 0.1957, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4222, scimark_benchmark: 1286.2211, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.935, kappa: 0.8691, kb_relative_information_score: 266.2947, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.935, predictive_accuracy: 0.935, prior_entropy: 0.995, recall: 0.935, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.4654, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.935, kappa: 0.8691, kb_relative_information_score: 261.8795, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.935, predictive_accuracy: 0.935, prior_entropy: 0.995, recall: 0.935, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.4794, scimark_benchmark: 930.5999,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.938, kappa: 0.8752, kb_relative_information_score: 277.7866, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9381, predictive_accuracy: 0.9381, prior_entropy: 0.995, recall: 0.9381, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.405, scimark_benchmark: 1345.6844, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.935, kappa: 0.8691, kb_relative_information_score: 266.2947, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.935, predictive_accuracy: 0.935, prior_entropy: 0.995, recall: 0.935, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.4654, scimark_benchmark: 1342.8584,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9412, kappa: 0.8817, kb_relative_information_score: 268.1701, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9414, predictive_accuracy: 0.9412, prior_entropy: 0.995, recall: 0.9412, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.4583, scimark_benchmark: 1340.9446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9566, kappa: 0.9126, kb_relative_information_score: 289.5168, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.995, recall: 0.9567, relative_absolute_error: 0.1093, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.3763, scimark_benchmark: 1350.2591, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.9442, kappa: 0.8875, kb_relative_information_score: 286.6189, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9444, predictive_accuracy: 0.9443, prior_entropy: 0.995, recall: 0.9443, relative_absolute_error: 0.1122, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.4738, usercpu_time_millis: 0.628, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.9288, kappa: 0.8567, kb_relative_information_score: 276.5186, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9288, predictive_accuracy: 0.9288, prior_entropy: 0.995, recall: 0.9288, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.5356, usercpu_time_millis: 16.136, usercpu_time_millis_testing: 1.287, usercpu_time_millis_training: 14.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.9566, kappa: 0.9126, kb_relative_information_score: 294.6991, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.995, recall: 0.9567, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.4178, usercpu_time_millis: 64.169, usercpu_time_millis_testing: 4.223, usercpu_time_millis_training: 59.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.9566, kappa: 0.9125, kb_relative_information_score: 294.6991, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9568, predictive_accuracy: 0.9567, prior_entropy: 0.995, recall: 0.9567, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.4178, usercpu_time_millis: 0.52, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.7497, kappa: 0.4978, kb_relative_information_score: 159.3551, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.7518, predictive_accuracy: 0.7492, prior_entropy: 0.995, recall: 0.7492, relative_absolute_error: 0.5051, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0051, usercpu_time_millis: 0.086, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.8695, kappa: 0.7388, kb_relative_information_score: 240.1575, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.8972, predictive_accuracy: 0.8731, prior_entropy: 0.995, recall: 0.8731, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.7151, usercpu_time_millis: 1.144, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 1.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.9412, kappa: 0.8816, kb_relative_information_score: 284.5988, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9412, predictive_accuracy: 0.9412, prior_entropy: 0.995, recall: 0.9412, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.4868, usercpu_time_millis: 1.813, usercpu_time_millis_testing: 0.681, usercpu_time_millis_training: 1.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.9061, kappa: 0.8108, kb_relative_information_score: 262.3781, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9139, predictive_accuracy: 0.9071, prior_entropy: 0.995, recall: 0.9071, relative_absolute_error: 0.1871, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6117, usercpu_time_millis: 0.198, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.9288, kappa: 0.8568, kb_relative_information_score: 276.5186, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9291, predictive_accuracy: 0.9288, prior_entropy: 0.995, recall: 0.9288, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.5356, usercpu_time_millis: 0.166, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9475, kappa: 0.8947, kb_relative_information_score: 288.6389, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9506, predictive_accuracy: 0.9474, prior_entropy: 0.995, recall: 0.9474, relative_absolute_error: 0.106, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4604, usercpu_time_millis: 0.226, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.9474, kappa: 0.8942, kb_relative_information_score: 288.6389, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9476, predictive_accuracy: 0.9474, prior_entropy: 0.995, recall: 0.9474, relative_absolute_error: 0.106, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4604, usercpu_time_millis: 0.567, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.9442, kappa: 0.8874, kb_relative_information_score: 286.6189, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9447, predictive_accuracy: 0.9443, prior_entropy: 0.995, recall: 0.9443, relative_absolute_error: 0.1122, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.4738, usercpu_time_millis: 0.134, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.9535, kappa: 0.9064, kb_relative_information_score: 292.679, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9536, predictive_accuracy: 0.9536, prior_entropy: 0.995, recall: 0.9536, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4325, usercpu_time_millis: 0.121, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.9442, kappa: 0.8874, kb_relative_information_score: 286.6189, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9447, predictive_accuracy: 0.9443, prior_entropy: 0.995, recall: 0.9443, relative_absolute_error: 0.1122, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.4738, usercpu_time_millis: 0.103, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.9566, kappa: 0.9126, kb_relative_information_score: 294.6991, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.995, recall: 0.9567, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.4178, usercpu_time_millis: 0.04, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.8112, kappa: 0.6198, kb_relative_information_score: 199.7563, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.8113, predictive_accuracy: 0.8111, prior_entropy: 0.995, recall: 0.8111, relative_absolute_error: 0.3804, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8722, usercpu_time_millis: 6.169, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 5.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.9103, kappa: 0.8195, kb_relative_information_score: 264.3982, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9105, predictive_accuracy: 0.9102, prior_entropy: 0.995, recall: 0.9102, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6014, usercpu_time_millis: 0.294, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.8539, kappa: 0.7052, kb_relative_information_score: 228.0371, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.8553, predictive_accuracy: 0.8545, prior_entropy: 0.995, recall: 0.8545, relative_absolute_error: 0.2931, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7656, usercpu_time_millis: 1.135, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 0.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.9381, kappa: 0.8753, kb_relative_information_score: 282.5787, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9381, predictive_accuracy: 0.9381, prior_entropy: 0.995, recall: 0.9381, relative_absolute_error: 0.1247, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.4994, usercpu_time_millis: 1.082, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 0.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, f_measure: 0.4472, kappa: 0.0056, kb_relative_information_score: 19.9709, mean_absolute_error: 0.4644, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.51, predictive_accuracy: 0.5356, prior_entropy: 0.995, recall: 0.5356, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.6815, root_relative_squared_error: 1.3677, usercpu_time_millis: 0.231, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.9412, kappa: 0.8815, kb_relative_information_score: 284.5988, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9412, predictive_accuracy: 0.9412, prior_entropy: 0.995, recall: 0.9412, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.4868, usercpu_time_millis: 2.715, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 2.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.919, kappa: 0.8365, kb_relative_information_score: 270.4584, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9231, predictive_accuracy: 0.9195, prior_entropy: 0.995, recall: 0.9195, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2837, root_relative_squared_error: 0.5694, usercpu_time_millis: 15.423, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 15.355,

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