What is the main purpose of the training phase in a machine learning model?
- To deploy the model for production use
- To teach the model to make predictions based on input data
- To test the model on new data
- To validate the accuracy of the model
The training phase in a machine learning model is designed to teach the model to make predictions based on input data. During training, the model learns patterns and relationships in the data, adjusting its parameters to optimize performance.
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