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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.

3 votes

What problem does oversampling, undersampling, and SMOTE solve?

The problem that these methods are trying to solve is to increase the impact of minority class on cost function. This is because algos trying to fit well the whole dataset and then adapt to majority. …
Milan Vukicevic's user avatar
2 votes

Learning Curves using different models

It seems that boosting algo is overfitting because train error is around 0 constantly. You could try to reduce cimplexity of the model e.g. try to use smaller tree depth or some other stopping criteri …
Milan Vukicevic's user avatar