Evaluation Metrics for Classification Machine Learning Models

Having built the Machine Learning model, we need to evaluate it.We can set targets for these metrics in the beginning of the Data Science or Machine Learning project. Achievement of these targets can be considered as one of the project success criteria. Evaluation metrics are used to measure the quality of the statistical or machine learning model. Evaluating machine learning models or algorithms is essential for any project. There are many different types of evaluation metrics available to test a model.