“…Commonly used ML methods for cancer analysis include linear regression, logistic regression, 7 decision trees, random forests, support vector machines, 8 neural networks, k-means clustering, principal component analysis, 9 naïve Bayes, gradient boosting, 10 and so on. However, ML methods suffer several shortcomings.…”