Task
Supervised Classification on page-blocks

Supervised Classification on page-blocks

Task 1794 Supervised Classification page-blocks 313 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9718, kappa: 0.8508, kb_relative_information_score: 21151.7425, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9716, predictive_accuracy: 0.9726, prior_entropy: 0.6391, recall: 0.9726, relative_absolute_error: 0.2288, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.093, root_relative_squared_error: 0.4771, scimark_benchmark: 1338.7159, usercpu_time_millis: 2000, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 1820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 932.5646, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9605, kappa: 0.7911, kb_relative_information_score: 18964.9191, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9599, predictive_accuracy: 0.9623, prior_entropy: 0.6391, recall: 0.9623, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.5893, scimark_benchmark: 1384.4422, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1342.9012, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9685, kappa: 0.834, kb_relative_information_score: 20526.0029, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9684, predictive_accuracy: 0.9699, prior_entropy: 0.6391, recall: 0.9699, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.4964, scimark_benchmark: 1342.4614, usercpu_time_millis: 480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1296.9979, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1322.7257, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9647, kappa: 0.8134, kb_relative_information_score: 19116.6249, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9642, predictive_accuracy: 0.9654, prior_entropy: 0.6391, recall: 0.9654, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.56, scimark_benchmark: 940.3347, usercpu_time_millis: 4380, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 4310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1322.7257, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.8759, kappa: 0.222, kb_relative_information_score: 8400.5775, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8794, predictive_accuracy: 0.9092, prior_entropy: 0.6391, recall: 0.9092, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.9783, scimark_benchmark: 1354.5533, usercpu_time_millis: 99160, usercpu_time_millis_testing: 10100, usercpu_time_millis_training: 89060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1354.3488, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1350.7721, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9393, kappa: 0.7007, kb_relative_information_score: 15890.8185, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9504, predictive_accuracy: 0.933, prior_entropy: 0.6391, recall: 0.933, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.762, scimark_benchmark: 1332.9478, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9605, kappa: 0.7911, kb_relative_information_score: 18964.9191, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9599, predictive_accuracy: 0.9623, prior_entropy: 0.6391, recall: 0.9623, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.5893, scimark_benchmark: 1322.5413, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.8759, kappa: 0.222, kb_relative_information_score: 8400.5775, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8794, predictive_accuracy: 0.9092, prior_entropy: 0.6391, recall: 0.9092, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.9783, scimark_benchmark: 1342.8584, usercpu_time_millis: 165350, usercpu_time_millis_testing: 10630, usercpu_time_millis_training: 154720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1307.8606, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.8759, kappa: 0.222, kb_relative_information_score: 8400.5775, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8794, predictive_accuracy: 0.9092, prior_entropy: 0.6391, recall: 0.9092, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.9783, scimark_benchmark: 930.5999, usercpu_time_millis: 48540, usercpu_time_millis_testing: 2530, usercpu_time_millis_training: 46010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1331.7953, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9605, kappa: 0.7911, kb_relative_information_score: 18964.9191, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9599, predictive_accuracy: 0.9623, prior_entropy: 0.6391, recall: 0.9623, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.5893, scimark_benchmark: 1322.3407, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9393, kappa: 0.7007, kb_relative_information_score: 15890.8185, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9504, predictive_accuracy: 0.933, prior_entropy: 0.6391, recall: 0.933, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.762, scimark_benchmark: 930.5999, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1338.5214, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1325.8468, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1310.6554, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9718, kappa: 0.8508, kb_relative_information_score: 21151.7425, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9716, predictive_accuracy: 0.9726, prior_entropy: 0.6391, recall: 0.9726, relative_absolute_error: 0.2288, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.093, root_relative_squared_error: 0.4771, scimark_benchmark: 1323.2573, usercpu_time_millis: 1970, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 1800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1325.7874, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9647, kappa: 0.8134, kb_relative_information_score: 19116.6249, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9642, predictive_accuracy: 0.9654, prior_entropy: 0.6391, recall: 0.9654, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.56, scimark_benchmark: 1342.8632, usercpu_time_millis: 5240, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 5070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 930.5999, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1325.8468, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1324.8408, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9605, kappa: 0.7911, kb_relative_information_score: 18964.9191, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9599, predictive_accuracy: 0.9623, prior_entropy: 0.6391, recall: 0.9623, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.5893, scimark_benchmark: 1331.4379, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.9123, kappa: 0.5808, kb_relative_information_score: 9995.6919, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8986, predictive_accuracy: 0.9314, prior_entropy: 0.6391, recall: 0.9314, relative_absolute_error: 0.5964, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.7974, scimark_benchmark: 946.6409, usercpu_time_millis: 83760, usercpu_time_millis_testing: 83760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9605, kappa: 0.7911, kb_relative_information_score: 18964.9191, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9599, predictive_accuracy: 0.9623, prior_entropy: 0.6391, recall: 0.9623, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.5893, scimark_benchmark: 901.8743, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9718, kappa: 0.8508, kb_relative_information_score: 21151.7425, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9716, predictive_accuracy: 0.9726, prior_entropy: 0.6391, recall: 0.9726, relative_absolute_error: 0.2288, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.093, root_relative_squared_error: 0.4771, scimark_benchmark: 928.8135, usercpu_time_millis: 2890, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 2590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1324.6442, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.9115, kappa: 0.5559, kb_relative_information_score: 8143.9039, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8922, predictive_accuracy: 0.9317, prior_entropy: 0.6391, recall: 0.9317, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.7826, scimark_benchmark: 931.7994, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9699, kappa: 0.8412, kb_relative_information_score: 21070.8063, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9696, predictive_accuracy: 0.9707, prior_entropy: 0.6391, recall: 0.9707, relative_absolute_error: 0.2243, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.5108, scimark_benchmark: 926.5859, usercpu_time_millis: 1330, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9708, kappa: 0.8467, kb_relative_information_score: 19805.9429, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9705, predictive_accuracy: 0.9714, prior_entropy: 0.6391, recall: 0.9714, relative_absolute_error: 0.2811, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.5002, scimark_benchmark: 933.0918, usercpu_time_millis: 46170, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 46090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 879.4299, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9685, kappa: 0.834, kb_relative_information_score: 20526.0029, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9684, predictive_accuracy: 0.9699, prior_entropy: 0.6391, recall: 0.9699, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.4964, scimark_benchmark: 946.9304, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.8759, kappa: 0.222, kb_relative_information_score: 8400.5775, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8794, predictive_accuracy: 0.9092, prior_entropy: 0.6391, recall: 0.9092, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.9783, scimark_benchmark: 1292.514, usercpu_time_millis: 107850, usercpu_time_millis_testing: 9460, usercpu_time_millis_training: 98390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1332.1612, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 926.6704, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9393, kappa: 0.7007, kb_relative_information_score: 15890.8185, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9504, predictive_accuracy: 0.933, prior_entropy: 0.6391, recall: 0.933, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.762, scimark_benchmark: 1346.2927, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.8759, kappa: 0.222, kb_relative_information_score: 8400.5775, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8794, predictive_accuracy: 0.9092, prior_entropy: 0.6391, recall: 0.9092, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.9783, scimark_benchmark: 1327.3335, usercpu_time_millis: 107190, usercpu_time_millis_testing: 10860, usercpu_time_millis_training: 96330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1346.2927, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.912, kappa: 0.5795, kb_relative_information_score: 9191.1015, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8941, predictive_accuracy: 0.9313, prior_entropy: 0.6391, recall: 0.9313, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.153, root_relative_squared_error: 0.7853, scimark_benchmark: 938.3115, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.912, kappa: 0.5795, kb_relative_information_score: 9191.1015, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8941, predictive_accuracy: 0.9313, prior_entropy: 0.6391, recall: 0.9313, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.153, root_relative_squared_error: 0.7853, scimark_benchmark: 935.6052, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9393, kappa: 0.7007, kb_relative_information_score: 15890.8185, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9504, predictive_accuracy: 0.933, prior_entropy: 0.6391, recall: 0.933, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.762, scimark_benchmark: 1331.2559, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9605, kappa: 0.7911, kb_relative_information_score: 18964.9191, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9599, predictive_accuracy: 0.9623, prior_entropy: 0.6391, recall: 0.9623, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.5893, scimark_benchmark: 1310.3168, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9718, kappa: 0.8508, kb_relative_information_score: 21151.7425, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9716, predictive_accuracy: 0.9726, prior_entropy: 0.6391, recall: 0.9726, relative_absolute_error: 0.2288, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.093, root_relative_squared_error: 0.4771, scimark_benchmark: 1367.3264, usercpu_time_millis: 2180, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 2010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9647, kappa: 0.8134, kb_relative_information_score: 19116.6249, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9642, predictive_accuracy: 0.9654, prior_entropy: 0.6391, recall: 0.9654, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.56, scimark_benchmark: 1309.2287, usercpu_time_millis: 5250, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 5070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.8759, kappa: 0.222, kb_relative_information_score: 8400.5775, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.8794, predictive_accuracy: 0.9092, prior_entropy: 0.6391, recall: 0.9092, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.9783, scimark_benchmark: 1316.5668, usercpu_time_millis: 155100, usercpu_time_millis_testing: 15620, usercpu_time_millis_training: 139480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1337.9552, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1342.8584, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9685, kappa: 0.834, kb_relative_information_score: 20526.0029, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9684, predictive_accuracy: 0.9699, prior_entropy: 0.6391, recall: 0.9699, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.4964, scimark_benchmark: 1337.9552, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9393, kappa: 0.7007, kb_relative_information_score: 15890.8185, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9504, predictive_accuracy: 0.933, prior_entropy: 0.6391, recall: 0.933, relative_absolute_error: 0.3717, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.762, scimark_benchmark: 1318.4315, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1325.6322, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1335.2363, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 1371.174, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9612, kappa: 0.7937, kb_relative_information_score: 19093.3695, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9605, predictive_accuracy: 0.9626, prior_entropy: 0.6391, recall: 0.9626, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.5587, scimark_benchmark: 1317.7919, usercpu_time_millis: 1210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9676, kappa: 0.8301, kb_relative_information_score: 20867.8405, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9673, predictive_accuracy: 0.9681, prior_entropy: 0.6391, recall: 0.9681, relative_absolute_error: 0.2095, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.5395, scimark_benchmark: 1322.5413, usercpu_time_millis: 1930, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 1600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9647, kappa: 0.8134, kb_relative_information_score: 19116.6249, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9642, predictive_accuracy: 0.9654, prior_entropy: 0.6391, recall: 0.9654, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.56, scimark_benchmark: 1267.7714, usercpu_time_millis: 5580, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 5400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9605, kappa: 0.7911, kb_relative_information_score: 18964.9191, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9599, predictive_accuracy: 0.9623, prior_entropy: 0.6391, recall: 0.9623, relative_absolute_error: 0.2868, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.5893, scimark_benchmark: 1261.7298, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9661, kappa: 0.8224, kb_relative_information_score: 20809.8764, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 27365, precision: 0.9665, predictive_accuracy: 0.9657, prior_entropy: 0.6391, recall: 0.9657, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5338, scimark_benchmark: 918.0213, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,

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