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Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.

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Grid Search using strategy

You are right that the best combination may be 'alpha': 30, 'beta':0.00001 but the best combination might be always beyond what you are exploring. The point is to establish a big enough interval to ma …
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6 votes

Why do we use loss functions to estimate a model instead of evaluation metrics like accuracy?

As explained here in relation to the no free lunch theorem (https://peekaboo-vision.blogspot.com/2019/07/dont-cite-no-free-lunch-theorem.html, see the final part), “learning is impossible without prop …
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2 votes
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Best approach for energy demand forecasting

You should split the time series instead of using a subsample as a test set, to avoid the problem you mentioned. You can find more here: https://stats.stackexchange.com/users/205266/wind. Also regardi …
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