Accuracy and p-value obtained from 5-fold cross validation for three machine learning methods (xgboost, random forest and neural network) for the prediction of postmortem interval, event location and manner of death using the microbiota from all anatomic locations (ears, eyes, nose, mouth, and rectum).
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https://figshare.com/articles/dataset/Accuracy_and_p-value_obtained_from_5-fold_cross_validation_for_three_machine_learning_methods_xgboost_random_forest_and_neural_network_for_the_prediction_of_postmortem_interval_event_location_and_manner_of_death_using_the_microbiota_from_all_anatomic_loca/7994729
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资源简介：
Accuracy and p-value obtained from 5-fold cross validation for three machine learning methods (xgboost, random forest and neural network) for the prediction of postmortem interval, event location and manner of death using the microbiota from all anatomic locations (ears, eyes, nose, mouth, and rectum).
创建时间：
2019-04-15
