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# Predict the test set using the model
pred_ols = predict(lmmod, test[,3:32], type="response")
# Apply a threshold
new_pred_ols = ifelse(pred_ols >= 0.5, 1, 0)
new_pred_ols = data.frame(new_pred_ols)
data_ols = cbind(test[,2], new_pred_ols)
names(data_ols) = c("actual", "pred")
xtab_ols = table(data_ols$actual, data_ols$pred)
cm_ols = confusionMatrix(xtab_ols)
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