Confusion matrix interpretation

You are given the actual diagnoses and predicted diagnoses for the heart_disease dataset - actuals and predictions respectively. Import and create a confusion matrix of these diagnoses using the imported confusion_matrix() function in order to select the correct answer. Note that the sklearn output format for confusion matricies is:

	Actual: Heart disease	Actual: No heart disease
Predicted: Heart disease
Predicted: No heart disease

⚠️ Note: Type your code in the IPython Shell terminal and press Enter.