Machine Learning for Healthcare Analytics Projects

Generating predictions using optimal hyperparameters

We know now some optimal hyperparameters for our grid search. We will use these to predict the onset of diabetes for the patients in our dataset. To do this, we will carry out the following steps:

1. We will predict whether diabetes will occur for every example in the dataset by using the predict() function, as shown in the following code snippet:

# generate predictions with optimal hyperparametersy_pred = grid.predict(X_standardized)

2. We will then use the .shape command to see what the predictions look like. The following screenshot shows the output for this step:

 

From the preceding screenshot, ...