MD Implementation Steps: 9 and 10

This lesson will finish going over the implementation steps (9-10) of the model design.

9) Evaluate

The next step of the model design process is to evaluate the results. The evaluation method will depend on the scope of your model. Specifically, this depends on whether it is a classification or regression model. In classification, the common evaluation methods are the confusion matrix, classification report, and accuracy score.

Accuracy=NumberPredictedCorrectlyNumberofCasesAccuracy = \frac{Number Predicted Correctly}{Number of Cases}

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