Model evaluation
After building a model, it is necessary to find metrics to measure the goodness of it. The model’s performance is generally monitored on new instances that were not a part of the training data.
Model training
The goal of model training is to fit the best combination to a machine learning algorithm to optimize it. The purpose is to build the best mathematical representation of the relationship between data features and a target label.
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