Task
Supervised Classification on audiology

Supervised Classification on audiology

Task 3862 Supervised Classification audiology 519 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, build_cpu_time: 0.1497, build_memory: 74808391.3274, f_measure: 0.9562, kappa: 0.8854, kb_relative_information_score: 186.4562, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9575, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.4228, scimark_benchmark: 868.5681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, build_cpu_time: 0.1041, build_memory: 154456086.5133, f_measure: 0.9562, kappa: 0.8854, kb_relative_information_score: 186.4562, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9575, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.4228, scimark_benchmark: 940.8123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, build_cpu_time: 0.1116, build_memory: 254561521.0619, f_measure: 0.9562, kappa: 0.8854, kb_relative_information_score: 186.4562, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9575, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.4228, scimark_benchmark: 932.2545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, build_cpu_time: 0.1466, build_memory: 149378462.6195, f_measure: 0.9562, kappa: 0.8854, kb_relative_information_score: 186.4562, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9575, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.4228, scimark_benchmark: 848.1685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, build_cpu_time: 0.0203, build_memory: 280668113.0619, f_measure: 0.9605, kappa: 0.8962, kb_relative_information_score: 186.0399, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9613, predictive_accuracy: 0.9602, prior_entropy: 0.8182, recall: 0.9602, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.421, scimark_benchmark: 942.7926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, build_cpu_time: 0.0305, build_memory: 455625936.885, f_measure: 0.9605, kappa: 0.8962, kb_relative_information_score: 186.0399, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9613, predictive_accuracy: 0.9602, prior_entropy: 0.8182, recall: 0.9602, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.421, scimark_benchmark: 946.6568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, build_cpu_time: 0.0302, build_memory: 62123738.3717, f_measure: 0.9605, kappa: 0.8962, kb_relative_information_score: 186.0399, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9613, predictive_accuracy: 0.9602, prior_entropy: 0.8182, recall: 0.9602, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.421, scimark_benchmark: 940.3528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, build_cpu_time: 0.025, build_memory: 913927058.7257, f_measure: 0.9605, kappa: 0.8962, kb_relative_information_score: 186.0399, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9613, predictive_accuracy: 0.9602, prior_entropy: 0.8182, recall: 0.9602, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.421, scimark_benchmark: 884.3549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, build_cpu_time: 0.0211, build_memory: 291614816.6018, f_measure: 0.9605, kappa: 0.8962, kb_relative_information_score: 186.0399, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9613, predictive_accuracy: 0.9602, prior_entropy: 0.8182, recall: 0.9602, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.421, scimark_benchmark: 945.0864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, build_cpu_time: 0.0289, build_memory: 511772594.4071, f_measure: 0.9605, kappa: 0.8962, kb_relative_information_score: 186.0399, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9613, predictive_accuracy: 0.9602, prior_entropy: 0.8182, recall: 0.9602, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.421, scimark_benchmark: 933.5929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.939, kappa: 0.8413, kb_relative_information_score: 171.3734, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9416, predictive_accuracy: 0.9381, prior_entropy: 0.8182, recall: 0.9381, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.474, scimark_benchmark: 1329.1398, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9555, kappa: 0.8813, kb_relative_information_score: 180.4645, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9554, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4511, scimark_benchmark: 1332.9478, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9729, kappa: 0.9271, kb_relative_information_score: 185.789, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.8182, recall: 0.9735, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.3632, scimark_benchmark: 1331.5882, usercpu_time_millis: 380, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9689, kappa: 0.9174, kb_relative_information_score: 183.9998, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 0.8182, recall: 0.969, relative_absolute_error: 0.1949, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3939, scimark_benchmark: 1348.2476, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9555, kappa: 0.8813, kb_relative_information_score: 180.4645, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9554, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4511, scimark_benchmark: 938.0414, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9683, kappa: 0.9144, kb_relative_information_score: 165.8622, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9703, predictive_accuracy: 0.969, prior_entropy: 0.8182, recall: 0.969, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4163, scimark_benchmark: 942.9708, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5877, f_measure: 0.7318, kappa: 0.2414, kb_relative_information_score: 87.289, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.8373, predictive_accuracy: 0.792, prior_entropy: 0.8182, recall: 0.792, relative_absolute_error: 0.5498, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.456, root_relative_squared_error: 1.0501, scimark_benchmark: 1354.3488, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.939, kappa: 0.8413, kb_relative_information_score: 171.3734, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9416, predictive_accuracy: 0.9381, prior_entropy: 0.8182, recall: 0.9381, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.474, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9683, kappa: 0.9144, kb_relative_information_score: 165.8622, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9703, predictive_accuracy: 0.969, prior_entropy: 0.8182, recall: 0.969, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4163, scimark_benchmark: 1347.993, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9555, kappa: 0.8813, kb_relative_information_score: 180.4645, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9554, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4511, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9729, kappa: 0.9271, kb_relative_information_score: 185.789, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9744, predictive_accuracy: 0.9735, prior_entropy: 0.8182, recall: 0.9735, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.3632, scimark_benchmark: 1339.2472, usercpu_time_millis: 300, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.939, kappa: 0.8413, kb_relative_information_score: 171.3734, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9416, predictive_accuracy: 0.9381, prior_entropy: 0.8182, recall: 0.9381, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.474, scimark_benchmark: 1337.3324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9555, kappa: 0.8813, kb_relative_information_score: 180.4645, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9554, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4511, scimark_benchmark: 1313.5633, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9555, kappa: 0.8813, kb_relative_information_score: 180.4645, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9554, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4511, scimark_benchmark: 1337.3324, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9555, kappa: 0.8813, kb_relative_information_score: 180.4645, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9554, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4511, scimark_benchmark: 1332.7986, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.956, kappa: 0.884, kb_relative_information_score: 188.5701, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9564, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1627, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4462, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9342, kappa: 0.8271, kb_relative_information_score: 175.0033, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9351, predictive_accuracy: 0.9336, prior_entropy: 0.8182, recall: 0.9336, relative_absolute_error: 0.208, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4865, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9555, kappa: 0.8813, kb_relative_information_score: 180.4645, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9554, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4511, scimark_benchmark: 1343.3311, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9555, kappa: 0.8813, kb_relative_information_score: 180.4645, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9554, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4511, scimark_benchmark: 1337.3324, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9683, kappa: 0.9144, kb_relative_information_score: 165.8622, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9703, predictive_accuracy: 0.969, prior_entropy: 0.8182, recall: 0.969, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4163, scimark_benchmark: 1345.6844, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9342, kappa: 0.8271, kb_relative_information_score: 175.0033, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9351, predictive_accuracy: 0.9336, prior_entropy: 0.8182, recall: 0.9336, relative_absolute_error: 0.208, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4865, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9689, kappa: 0.9174, kb_relative_information_score: 183.9998, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 0.8182, recall: 0.969, relative_absolute_error: 0.1949, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3939, scimark_benchmark: 1278.9821, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.939, kappa: 0.8413, kb_relative_information_score: 171.3734, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9416, predictive_accuracy: 0.9381, prior_entropy: 0.8182, recall: 0.9381, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.474, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9555, kappa: 0.8813, kb_relative_information_score: 180.4645, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9554, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4511, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5877, f_measure: 0.7318, kappa: 0.2414, kb_relative_information_score: 87.289, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.8373, predictive_accuracy: 0.792, prior_entropy: 0.8182, recall: 0.792, relative_absolute_error: 0.5498, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.456, root_relative_squared_error: 1.0501, scimark_benchmark: 1333.202, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.939, kappa: 0.8413, kb_relative_information_score: 171.3734, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9416, predictive_accuracy: 0.9381, prior_entropy: 0.8182, recall: 0.9381, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.474, scimark_benchmark: 1349.1517, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9512, kappa: 0.8702, kb_relative_information_score: 188.8321, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9511, predictive_accuracy: 0.9513, prior_entropy: 0.8182, recall: 0.9513, relative_absolute_error: 0.1472, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.5044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9387, kappa: 0.8395, kb_relative_information_score: 186.3409, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9401, predictive_accuracy: 0.9381, prior_entropy: 0.8182, recall: 0.9381, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.4242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9186, kappa: 0.7928, kb_relative_information_score: 136.332, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.928, predictive_accuracy: 0.9159, prior_entropy: 0.8182, recall: 0.9159, relative_absolute_error: 0.374, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.5822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9472, kappa: 0.8609, kb_relative_information_score: 161.0894, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9477, predictive_accuracy: 0.9469, prior_entropy: 0.8182, recall: 0.9469, relative_absolute_error: 0.314, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.894, kappa: 0.7359, kb_relative_information_score: 116.1709, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.912, predictive_accuracy: 0.8894, prior_entropy: 0.8182, recall: 0.8894, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.632, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9478, kappa: 0.864, kb_relative_information_score: 176.8676, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9502, predictive_accuracy: 0.9469, prior_entropy: 0.8182, recall: 0.9469, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.4978, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.943, kappa: 0.8501, kb_relative_information_score: 185.1089, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9438, predictive_accuracy: 0.9425, prior_entropy: 0.8182, recall: 0.9425, relative_absolute_error: 0.1681, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.4235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9144, kappa: 0.783, kb_relative_information_score: 138.4356, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9251, predictive_accuracy: 0.9115, prior_entropy: 0.8182, recall: 0.9115, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.5839, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.1016, kb_relative_information_score: -106.0519, mean_absolute_error: 0.4501, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.0636, predictive_accuracy: 0.2522, prior_entropy: 0.8182, recall: 0.2522, relative_absolute_error: 1.1898, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.5474, root_relative_squared_error: 1.2604, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.9021, kappa: 0.7545, kb_relative_information_score: 128.8428, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9171, predictive_accuracy: 0.8982, prior_entropy: 0.8182, recall: 0.8982, relative_absolute_error: 0.424, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.6496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.8832, kappa: 0.6728, kb_relative_information_score: 92.0139, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.907, predictive_accuracy: 0.8938, prior_entropy: 0.8182, recall: 0.8938, relative_absolute_error: 0.6359, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.6917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4788, f_measure: 0.6399, kb_relative_information_score: -0.5589, mean_absolute_error: 0.3784, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.5592, predictive_accuracy: 0.7478, prior_entropy: 0.8182, recall: 0.7478, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.4344, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9646, kappa: 0.9062, kb_relative_information_score: 166.7881, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9646, predictive_accuracy: 0.9646, prior_entropy: 0.8182, recall: 0.9646, relative_absolute_error: 0.2797, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.195, root_relative_squared_error: 0.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5877, f_measure: 0.7318, kappa: 0.2414, kb_relative_information_score: 87.289, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.8373, predictive_accuracy: 0.792, prior_entropy: 0.8182, recall: 0.792, relative_absolute_error: 0.5498, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.456, root_relative_squared_error: 1.0501, scimark_benchmark: 932.438, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9478, kappa: 0.864, kb_relative_information_score: 179.5575, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9502, predictive_accuracy: 0.9469, prior_entropy: 0.8182, recall: 0.9469, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4771, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9387, kappa: 0.8395, kb_relative_information_score: 183.6599, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9401, predictive_accuracy: 0.9381, prior_entropy: 0.8182, recall: 0.9381, relative_absolute_error: 0.1682, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.5248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.9601, kappa: 0.8938, kb_relative_information_score: 198.6852, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.96, predictive_accuracy: 0.9602, prior_entropy: 0.8182, recall: 0.9602, relative_absolute_error: 0.1053, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4595, scimark_benchmark: 1324.7825, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8685, kappa: 0.6725, kb_relative_information_score: 136.1347, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.8871, predictive_accuracy: 0.8628, prior_entropy: 0.8182, recall: 0.8628, relative_absolute_error: 0.3544, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.8323, scimark_benchmark: 1010.8072, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.9552, kappa: 0.8799, kb_relative_information_score: 185.1319, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9555, predictive_accuracy: 0.9558, prior_entropy: 0.8182, recall: 0.9558, relative_absolute_error: 0.1859, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.475, scimark_benchmark: 974.4998, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9475, kappa: 0.8624, kb_relative_information_score: 183.7659, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9488, predictive_accuracy: 0.9469, prior_entropy: 0.8182, recall: 0.9469, relative_absolute_error: 0.1723, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.4906, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.9598, kappa: 0.8926, kb_relative_information_score: 198.5175, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9599, predictive_accuracy: 0.9602, prior_entropy: 0.8182, recall: 0.9602, relative_absolute_error: 0.1063, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9642, kappa: 0.9039, kb_relative_information_score: 179.1616, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9645, predictive_accuracy: 0.9646, prior_entropy: 0.8182, recall: 0.9646, relative_absolute_error: 0.2407, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3865, scimark_benchmark: 941.3057, usercpu_time_millis: 3970, usercpu_time_millis_testing: 2030, usercpu_time_millis_training: 1940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9642, kappa: 0.9039, kb_relative_information_score: 178.7967, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.3783, number_of_instances: 226, precision: 0.9645, predictive_accuracy: 0.9646, prior_entropy: 0.8182, recall: 0.9646, relative_absolute_error: 0.2416, root_mean_prior_squared_error: 0.4343, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.3786, scimark_benchmark: 931.7096, usercpu_time_millis: 8150, usercpu_time_millis_testing: 4070, usercpu_time_millis_training: 4080,

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