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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.

1 vote

For hyperparameter tuning with cross validation, is it okay for the fold splits to be same f...

Let me first rephrase the question to make it a little more precise: "I am wondering if it matters at all if we used the same k fold split for all trials or if it is important that we randomized the s …
ljubomir's user avatar
  • 117
2 votes

XGBoost Classifier not capturing extreme probabilities

As @Sycorax and @BenReiniger pointed out, the problem is that the probabilities are not calibrated (or not as calibrated as well as you'd prefer). Here is how you could calibrate the XGBoost probabili …
ljubomir's user avatar
  • 117
3 votes

When should linear regression be called "machine learning"?

I'll argue that the distinction between machine learning and statistical inference is clear. In short, machine learning = prediction of future observations; statistics = explanation. Here is an examp …
ljubomir's user avatar
  • 117