What is the primary purpose of the training phase in machine learning?
- Data prediction and classification
- Feature extraction and selection
- Model evaluation and testing
- Model parameter adjustment
The primary purpose of the training phase in machine learning is 'Model parameter adjustment.' During training, the model adjusts its parameters to fit the data, aiming to minimize the error between predicted and actual values.
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