Task
Supervised Classification on MiceProtein

Supervised Classification on MiceProtein

Task 146800 Supervised Classification MiceProtein 9545 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 0.9971, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 2.993, recall: 0.9972, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 0.9971, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 2.993, recall: 0.9972, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 0.9971, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 2.993, recall: 0.9972, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 0.9971, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 2.993, recall: 0.9972, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9797, kappa: 0.9767, kb_relative_information_score: 0.9784, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9803, predictive_accuracy: 0.9796, prior_entropy: 2.993, recall: 0.9796, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0714, root_relative_squared_error: 0.2159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9954, kappa: 0.9947, kb_relative_information_score: 0.9951, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 2.993, recall: 0.9954, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.034, root_relative_squared_error: 0.1029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9954, kappa: 0.9947, kb_relative_information_score: 0.9951, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 2.993, recall: 0.9954, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.034, root_relative_squared_error: 0.1029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9549, kappa: 0.9481, kb_relative_information_score: 0.9525, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9585, predictive_accuracy: 0.9546, prior_entropy: 2.993, recall: 0.9546, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.3222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9954, kappa: 0.9947, kb_relative_information_score: 0.9951, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 2.993, recall: 0.9954, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.034, root_relative_squared_error: 0.1029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5651, kappa: 0.1307, kb_relative_information_score: 0.1938, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2509, prior_entropy: 2.993, recall: 0.2509, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4327, root_relative_squared_error: 1.3094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.536, kappa: 0.0722, kb_relative_information_score: 0.1411, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.2009, prior_entropy: 2.993, recall: 0.2009, relative_absolute_error: 0.9144, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.447, root_relative_squared_error: 1.3524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5247, kappa: 0.0495, kb_relative_information_score: 0.1209, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1815, prior_entropy: 2.993, recall: 0.1815, relative_absolute_error: 0.9367, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4524, root_relative_squared_error: 1.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5274, kappa: 0.0549, kb_relative_information_score: 0.1256, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1861, prior_entropy: 2.993, recall: 0.1861, relative_absolute_error: 0.9314, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4511, root_relative_squared_error: 1.3648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5349, kappa: 0.07, kb_relative_information_score: 0.1392, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1991, prior_entropy: 2.993, recall: 0.1991, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4475, root_relative_squared_error: 1.3539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 0.9962, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9964, predictive_accuracy: 0.9963, prior_entropy: 2.993, recall: 0.9963, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0304, root_relative_squared_error: 0.0921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 0.9971, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9973, predictive_accuracy: 0.9972, prior_entropy: 2.993, recall: 0.9972, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 0.9971, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9973, predictive_accuracy: 0.9972, prior_entropy: 2.993, recall: 0.9972, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9972, kappa: 0.9968, kb_relative_information_score: 0.9971, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9973, predictive_accuracy: 0.9972, prior_entropy: 2.993, recall: 0.9972, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0264, root_relative_squared_error: 0.0797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 0.9962, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9964, predictive_accuracy: 0.9963, prior_entropy: 2.993, recall: 0.9963, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0304, root_relative_squared_error: 0.0921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 0.9962, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9964, predictive_accuracy: 0.9963, prior_entropy: 2.993, recall: 0.9963, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0304, root_relative_squared_error: 0.0921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 1, predictive_accuracy: 1, prior_entropy: 2.993, recall: 1, root_mean_prior_squared_error: 0.3305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 0.9962, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9964, predictive_accuracy: 0.9963, prior_entropy: 2.993, recall: 0.9963, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0304, root_relative_squared_error: 0.0921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 0.9991, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.993, recall: 0.9991, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 0.996, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 2.993, recall: 0.9963, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0304, root_relative_squared_error: 0.0921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9873, kappa: 0.9852, kb_relative_information_score: 0.9863, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9883, predictive_accuracy: 0.987, prior_entropy: 2.993, recall: 0.987, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.1722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9881, kappa: 0.9862, kb_relative_information_score: 0.9872, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9889, predictive_accuracy: 0.988, prior_entropy: 2.993, recall: 0.988, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9864, kappa: 0.9841, kb_relative_information_score: 0.9852, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9875, predictive_accuracy: 0.9861, prior_entropy: 2.993, recall: 0.9861, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0589, root_relative_squared_error: 0.1783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9908, kappa: 0.9894, kb_relative_information_score: 0.9903, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9913, predictive_accuracy: 0.9907, prior_entropy: 2.993, recall: 0.9907, relative_absolute_error: 0.0106, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0481, root_relative_squared_error: 0.1456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9873, kappa: 0.9852, kb_relative_information_score: 0.9863, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9883, predictive_accuracy: 0.987, prior_entropy: 2.993, recall: 0.987, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.1722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.4982, kappa: 0.3983, kb_relative_information_score: 0.4408, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.6017, predictive_accuracy: 0.4769, prior_entropy: 2.993, recall: 0.4769, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3616, root_relative_squared_error: 1.0942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9855, kappa: 0.983, kb_relative_information_score: 0.9841, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9868, predictive_accuracy: 0.9852, prior_entropy: 2.993, recall: 0.9852, relative_absolute_error: 0.017, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0609, root_relative_squared_error: 0.1841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9864, kappa: 0.9841, kb_relative_information_score: 0.9852, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9875, predictive_accuracy: 0.9861, prior_entropy: 2.993, recall: 0.9861, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0589, root_relative_squared_error: 0.1783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9917, kappa: 0.9905, kb_relative_information_score: 0.9911, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 2.993, recall: 0.9917, relative_absolute_error: 0.0095, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0456, root_relative_squared_error: 0.1381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9935, kappa: 0.9926, kb_relative_information_score: 0.9932, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9936, predictive_accuracy: 0.9935, prior_entropy: 2.993, recall: 0.9935, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0403, root_relative_squared_error: 0.1218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 0.999, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.993, recall: 0.9991, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 0.999, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.993, recall: 0.9991, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 0.999, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.993, recall: 0.9991, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 0.999, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.993, recall: 0.9991, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 0.999, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.993, recall: 0.9991, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 0.999, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.993, recall: 0.9991, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 0.999, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.993, recall: 0.9991, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 0.999, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.993, recall: 0.9991, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9954, kappa: 0.9947, kb_relative_information_score: 0.9952, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 2.993, recall: 0.9954, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.034, root_relative_squared_error: 0.1029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 0.999, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.993, recall: 0.9991, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 0.999, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.993, recall: 0.9991, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 0.999, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.993, recall: 0.9991, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.046,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9954, kappa: 0.9947, kb_relative_information_score: 0.9952, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 2.993, recall: 0.9954, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.034, root_relative_squared_error: 0.1029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 0.9961, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 2.993, recall: 0.9963, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0304, root_relative_squared_error: 0.0921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9954, kappa: 0.9947, kb_relative_information_score: 0.9952, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 2.993, recall: 0.9954, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.034, root_relative_squared_error: 0.1029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 0.999, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.993, recall: 0.9991, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 0.999, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.993, recall: 0.9991, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9963, kappa: 0.9958, kb_relative_information_score: 0.9961, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 2.993, recall: 0.9963, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0304, root_relative_squared_error: 0.0921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 0.999, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.993, recall: 0.9991, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 0.999, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.993, recall: 0.9991, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.046,

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