Positives and negatives of machine learning algorithms Depending on your budget, require for velocity and precision essential, each algorithm kind—supervised, unsupervised, semi-supervised, or reinforcement—has its own positives and negatives.?For instance, conclusion tree algorithms are used for the two predicting numerical values (regression