10.1371/journal.pone.0213829.t001 Yu Zhang Yu Zhang Jennifer L. Pechal Jennifer L. Pechal Carl J. Schmidt Carl J. Schmidt Heather R. Jordan Heather R. Jordan Wesley W. Wang Wesley W. Wang M. Eric Benbow M. Eric Benbow Sing-Hoi Sze Sing-Hoi Sze Aaron M. Tarone Aaron M. Tarone Confusion matrices for prediction of postmortem interval, event location, and manner of death with the microbiota from all anatomic locations (ears, eyes, nose, mouth, and rectum) using three machine learning methods: xgboost, random forest, and neural network. Public Library of Science 2019 PMI modeling postmortem microbiomes death investigation method 188 death cases findings Postmortem microbiomes population study Background 2019-04-15 17:27:09 Dataset https://plos.figshare.com/articles/dataset/Confusion_matrices_for_prediction_of_postmortem_interval_event_location_and_manner_of_death_with_the_microbiota_from_all_anatomic_locations_ears_eyes_nose_mouth_and_rectum_using_three_machine_learning_methods_xgboost_random_forest_and_neural_network_/7994723 <p>The results for the three methods are put within the same table in the order of xgboost/ random forest/ neural network.</p>