Chapter 4 🤖 Prediction Model Construction

4.1 Build Model

 You can use function build_Model to build machine learning predictive model including naive Bayes models, Support vector machine model, random forest model, Cancerclass model, Adaboost model, Logitboost model, Logistics regression model.  The function returns a trained model.

train_set <- list(MEL_GSE91061, MEL_phs000452, RCC_Braun_2020)
mymodel <- build_Model(Model='NB', SE=train_set, feature_genes=Stem.Sig, response_NR = TRUE)

4.2 Test Model

 test_Model are designed for testing model built by build_Model function. This function returns a ROC object.

test_Model(mymodel,MEL_78220)