The human body contains a wide variety of microbiome that provide up to 99% of the genetic material present in our bodies, which play an important role in regulating host metabolism and immune system development. This repository includes several machine learning method using the rRNA sequences of gut microbiome to predict disease.
- Logistic Regression
- NaiveBayes(Gaussian, Bernoulli, Multinomial)
- RandomForest
- SVM
- XGB These purpose of using these algorithm is to provide the baseline to analyse the performance of deep learning pipeline developed.
- To deal with sequences data, the files end with "Single" indicate only taking the last timestep as input and the files end with "Flatten" indicate reshaping from 3 dimesion array(sizes, features, time points) to 2 dimesion(sizes, features * time points)
- Since the dataset size is small, cross-validation is used to better utilized the data. More concertly, the code using nested cross-validation with grid search to find out the best hypeparameters. Link to My blog of cross-validation
- The evalution metric includes f1_score, auc and roc curve.
LogisticFlatten
NaiveBayesFlatten