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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 …
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 …
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 …