Task
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43621 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1366.5643, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0416, root_relative_squared_error: 0.0838, scimark_benchmark: 1812.9001, usercpu_time_millis: 0.404, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 0.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1353.806, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0156, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.049, root_relative_squared_error: 0.0986, scimark_benchmark: 1858.4861, usercpu_time_millis: 0.25, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 0.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1348.0324, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0204, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1124, scimark_benchmark: 1857.327, usercpu_time_millis: 0.235, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1356.2105, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0136, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.046, root_relative_squared_error: 0.0926, scimark_benchmark: 1870.1619, usercpu_time_millis: 0.22, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.1703, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0045, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.038, root_relative_squared_error: 0.0765, scimark_benchmark: 1855.3627, usercpu_time_millis: 0.09, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1345.8717, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0582, root_relative_squared_error: 0.117, scimark_benchmark: 1856.4708, usercpu_time_millis: 0.221, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 0.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1357.4214, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0446, root_relative_squared_error: 0.0897, scimark_benchmark: 1872.8797, usercpu_time_millis: 0.235, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1344.8087, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.0231, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0592, root_relative_squared_error: 0.1191, scimark_benchmark: 1863.2116, usercpu_time_millis: 0.246, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1355.001, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0475, root_relative_squared_error: 0.0957, scimark_benchmark: 1869.1727, usercpu_time_millis: 0.21, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1343.7675, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.024, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0602, root_relative_squared_error: 0.1212, scimark_benchmark: 1826.6366, usercpu_time_millis: 0.389, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1344.8087, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.0231, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0592, root_relative_squared_error: 0.1191, scimark_benchmark: 1830.1459, usercpu_time_millis: 0.391, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 0.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.8799, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0402, root_relative_squared_error: 0.0808, scimark_benchmark: 1826.0513, usercpu_time_millis: 0.33, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 0.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1353.806, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0156, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.049, root_relative_squared_error: 0.0986, scimark_benchmark: 1758.0362, usercpu_time_millis: 0.219, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1349.1613, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0195, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0546, root_relative_squared_error: 0.1099, scimark_benchmark: 1321.1446, usercpu_time_millis: 0.167, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1352.6241, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0505, root_relative_squared_error: 0.1016, scimark_benchmark: 1317.8322, usercpu_time_millis: 0.149, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.8799, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0402, root_relative_squared_error: 0.0808, scimark_benchmark: 1317.3854, usercpu_time_millis: 0.131, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1346.9462, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0213, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.057, root_relative_squared_error: 0.1148, scimark_benchmark: 1324.5388, usercpu_time_millis: 0.177, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1366.7296, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.041, root_relative_squared_error: 0.0824, scimark_benchmark: 1332.5032, usercpu_time_millis: 0.113, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1363.421, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0384, root_relative_squared_error: 0.0772, scimark_benchmark: 1341.2393, usercpu_time_millis: 0.14, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.1703, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0045, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.038, root_relative_squared_error: 0.0765, scimark_benchmark: 1302.2443, usercpu_time_millis: 0.127, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1357.4214, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0446, root_relative_squared_error: 0.0897, scimark_benchmark: 1266.0358, usercpu_time_millis: 0.145, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 0.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1348.0324, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0204, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1124, scimark_benchmark: 1332.932, usercpu_time_millis: 0.156, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1365.8569, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.0941, scimark_benchmark: 1321.9367, usercpu_time_millis: 0.098, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1357.4214, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0446, root_relative_squared_error: 0.0897, scimark_benchmark: 1303.0084, usercpu_time_millis: 0.145, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 0.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1346.9462, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0213, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.057, root_relative_squared_error: 0.1148, scimark_benchmark: 1319.2733, usercpu_time_millis: 0.157, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1344.8087, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.0231, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0592, root_relative_squared_error: 0.1191, scimark_benchmark: 1305.3217, usercpu_time_millis: 0.181, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1361.0266, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0405, root_relative_squared_error: 0.0814, scimark_benchmark: 1312.5134, usercpu_time_millis: 0.133, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1351.4624, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0176, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0519, root_relative_squared_error: 0.1044, scimark_benchmark: 1325.4267, usercpu_time_millis: 0.154, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.6744, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0386, root_relative_squared_error: 0.0778, scimark_benchmark: 1322.5946, usercpu_time_millis: 0.129, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 0.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.8799, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0402, root_relative_squared_error: 0.0808, scimark_benchmark: 1303.2416, usercpu_time_millis: 0.127, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 0.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1356.2105, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0136, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.046, root_relative_squared_error: 0.0926, scimark_benchmark: 1353.3589, usercpu_time_millis: 0.139, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 0.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1344.8087, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.0231, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0592, root_relative_squared_error: 0.1191, scimark_benchmark: 1288.2503, usercpu_time_millis: 0.166, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1348.0324, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0204, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1124, scimark_benchmark: 1343.0626, usercpu_time_millis: 0.16, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 0.006,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.8733, kappa: 0.7437, kb_relative_information_score: 614.9451, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8735, predictive_accuracy: 0.8732, prior_entropy: 0.9912, recall: 0.8732, relative_absolute_error: 0.608, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6775, scimark_benchmark: 1159.7468, usercpu_time_millis: 7.863, usercpu_time_millis_testing: 0.886, usercpu_time_millis_training: 6.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9145, kappa: 0.8266, kb_relative_information_score: 962.6194, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9149, predictive_accuracy: 0.9147, prior_entropy: 0.9912, recall: 0.9147, relative_absolute_error: 0.3267, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.5346, scimark_benchmark: 1183.4976, usercpu_time_millis: 35.348, usercpu_time_millis_testing: 3.318, usercpu_time_millis_training: 32.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 1229.5767, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.2582, scimark_benchmark: 1162.4808, usercpu_time_millis: 5.305, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 4.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1253.2107, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9921, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.1077, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.197, scimark_benchmark: 1180.4704, usercpu_time_millis: 30.48, usercpu_time_millis_testing: 3.005, usercpu_time_millis_training: 27.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1185.7553, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.2609, scimark_benchmark: 1168.3082, usercpu_time_millis: 9.701, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 8.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1323.6785, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.1789, scimark_benchmark: 1166.342, usercpu_time_millis: 53.254, usercpu_time_millis_testing: 3.025, usercpu_time_millis_training: 50.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.8916, kappa: 0.7798, kb_relative_information_score: 494.1543, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8982, predictive_accuracy: 0.8929, prior_entropy: 0.9912, recall: 0.8929, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.7361, scimark_benchmark: 1169.6584, usercpu_time_millis: 8.505, usercpu_time_millis_testing: 1.07, usercpu_time_millis_training: 7.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1226.2433, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.1273, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.2491, scimark_benchmark: 1170.388, usercpu_time_millis: 1.425, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 1.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1334.1625, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2013, scimark_benchmark: 1165.3219, usercpu_time_millis: 50.643, usercpu_time_millis_testing: 2.762, usercpu_time_millis_training: 47.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1237.3602, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.1167, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.2453, scimark_benchmark: 1173.0401, usercpu_time_millis: 14.928, usercpu_time_millis_testing: 1.09, usercpu_time_millis_training: 13.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1306.9778, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.172, scimark_benchmark: 1164.3414, usercpu_time_millis: 43.757, usercpu_time_millis_testing: 2.998, usercpu_time_millis_training: 40.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9189, kappa: 0.8355, kb_relative_information_score: 1008.0776, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9193, predictive_accuracy: 0.9191, prior_entropy: 0.9912, recall: 0.9191, relative_absolute_error: 0.2877, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.508, scimark_benchmark: 1168.7315, usercpu_time_millis: 14.28, usercpu_time_millis_testing: 1.195, usercpu_time_millis_training: 13.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1203.4949, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.1516, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.2438, scimark_benchmark: 1173.0952, usercpu_time_millis: 2.426, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 2.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.8517, kappa: 0.7011, kb_relative_information_score: 731.8482, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8538, predictive_accuracy: 0.8513, prior_entropy: 0.9912, recall: 0.8513, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.694, scimark_benchmark: 1166.6434, usercpu_time_millis: 13.732, usercpu_time_millis_testing: 1.512, usercpu_time_millis_training: 12.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9672, kappa: 0.9338, kb_relative_information_score: 1025.9789, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9675, predictive_accuracy: 0.9672, prior_entropy: 0.9912, recall: 0.9672, relative_absolute_error: 0.2956, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.4064, scimark_benchmark: 1156.8822, usercpu_time_millis: 33.808, usercpu_time_millis_testing: 3.563, usercpu_time_millis_training: 30.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1207.1099, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.2421, scimark_benchmark: 1173.715, usercpu_time_millis: 16.635, usercpu_time_millis_testing: 1.366, usercpu_time_millis_training: 15.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1149.4121, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.2996, scimark_benchmark: 1169.0565, usercpu_time_millis: 16.959, usercpu_time_millis_testing: 1.604, usercpu_time_millis_training: 15.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.0768, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1168.7811, usercpu_time_millis: 9.559, usercpu_time_millis_testing: 1.553, usercpu_time_millis_training: 8.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9701, kappa: 0.9396, kb_relative_information_score: 1013.35, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9703, predictive_accuracy: 0.9701, prior_entropy: 0.9912, recall: 0.9701, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.4037, scimark_benchmark: 1165.5586, usercpu_time_millis: 4.917, usercpu_time_millis_testing: 0.551, usercpu_time_millis_training: 4.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9767, kappa: 0.9528, kb_relative_information_score: 1162.1416, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9767, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.1774, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.3236, scimark_benchmark: 1169.0131, usercpu_time_millis: 19.534, usercpu_time_millis_testing: 1.477, usercpu_time_millis_training: 18.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.984, kappa: 0.9676, kb_relative_information_score: 1196.1592, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.2742, scimark_benchmark: 1165.2608, usercpu_time_millis: 14.527, usercpu_time_millis_testing: 1.281, usercpu_time_millis_training: 13.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1176.0901, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.2933, scimark_benchmark: 1177.0395, usercpu_time_millis: 14.393, usercpu_time_millis_testing: 1.173, usercpu_time_millis_training: 13.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1288.9748, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0732, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.1806, scimark_benchmark: 1172.6688, usercpu_time_millis: 48.11, usercpu_time_millis_testing: 4.614, usercpu_time_millis_training: 43.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9511, kappa: 0.901, kb_relative_information_score: 1122.4875, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9512, predictive_accuracy: 0.9512, prior_entropy: 0.9912, recall: 0.9512, relative_absolute_error: 0.2027, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.3868, scimark_benchmark: 1176.047, usercpu_time_millis: 3.218, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 2.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9187, kappa: 0.8351, kb_relative_information_score: 747.2565, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9201, predictive_accuracy: 0.9191, prior_entropy: 0.9912, recall: 0.9191, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.5901, scimark_benchmark: 1176.9219, usercpu_time_millis: 1.353, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 1.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1334.0383, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.9912, recall: 0.9942, relative_absolute_error: 0.0318, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.073, root_relative_squared_error: 0.1469, scimark_benchmark: 1173.8245, usercpu_time_millis: 56.233, usercpu_time_millis_testing: 3.921, usercpu_time_millis_training: 52.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9128, kappa: 0.823, kb_relative_information_score: 938.1713, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9146, predictive_accuracy: 0.9133, prior_entropy: 0.9912, recall: 0.9133, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.5249, scimark_benchmark: 1174.7067, usercpu_time_millis: 12.085, usercpu_time_millis_testing: 1.023, usercpu_time_millis_training: 11.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.8575, kappa: 0.7125, kb_relative_information_score: 657.4475, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8591, predictive_accuracy: 0.8571, prior_entropy: 0.9912, recall: 0.8571, relative_absolute_error: 0.5733, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6724, scimark_benchmark: 1159.2584, usercpu_time_millis: 6.274, usercpu_time_millis_testing: 0.721, usercpu_time_millis_training: 5.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0763, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1172.5358, usercpu_time_millis: 4.995, usercpu_time_millis_testing: 0.597, usercpu_time_millis_training: 4.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1305.6134, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0571, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.1749, scimark_benchmark: 1154.4745, usercpu_time_millis: 3.897, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 3.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1195.3312, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.1543, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.2764, scimark_benchmark: 1162.3677, usercpu_time_millis: 38.906, usercpu_time_millis_testing: 3.162, usercpu_time_millis_training: 35.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9731, kappa: 0.9455, kb_relative_information_score: 1055.174, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9734, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.2743, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3763, scimark_benchmark: 1161.1725, usercpu_time_millis: 2.968, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 2.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1308.5378, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0531, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.1908, scimark_benchmark: 1157.1351, usercpu_time_millis: 1.743, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 1.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9201, kappa: 0.8378, kb_relative_information_score: 776.3786, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9223, predictive_accuracy: 0.9206, prior_entropy: 0.9912, recall: 0.9206, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2825, root_relative_squared_error: 0.5686, scimark_benchmark: 1151.2814, usercpu_time_millis: 21.757, usercpu_time_millis_testing: 2.215, usercpu_time_millis_training: 19.542,

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