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Machine Learning with Spark - Second Edition by Nick Pentreath, Manpreet Singh Ghotra, Rajdeep Dua

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Tuning model parameters

The previous section showed the impact of feature extraction and selection on model performance as well as the form of input data and a model's assumptions around data distributions. So far, we have discussed model parameters only in passing, but they also play a significant role in model performance.

MLlib's default train methods use default values for the parameters of each model. Let's take a deeper look at them.

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