How should one select the appropriate algorithm for training a model, and what factors or conditions should be considered during this selection process?
For which types of datasets or situations should specific algorithms be used, and what factors influence the choice of algorithm in each case?
Can the selection of algorithms be based solely on scatter plots and pair plots? If so, what types of patterns in these plots would indicate which algorithms to choose?
Under which conditions does each algorithm perform best?
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