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.
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End-to-End Machine Learning
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