This project aims to predict heart failure outcomes by applying statistical learning algorithms. The goal is to improve the prediction accuracy through the SuperLearner algorithm.
machine-learning
r
parallel-computing
superlearner
statistical-learning
ranger
glmnet
glm
svm-classifier
prediction-model
classification-algorithm
nnet
random-forest-classifier
accuracy-metrics
xgboost-classifier
k-fold-cross-validation
shap-values
polymars
bayesglm
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Updated
Jun 9, 2024 - R