which is more likely to overfit support vector machine which is more likely to overfit linear discriminant analysis which analysis process is more likely to overfit than a machine? which of the following is more likely to overfit a support vector machine? which statement is true regarding a linear discriminant analysis? lda or svm which model is more likely to overfit? is lda overfit which is more likely to overfit a linear discriminant or support vector machine? what is linguistic discriminant analysis which is more likely to overfit linear discriminant analysis (lda) than support vector machine (svm)? is the lda algorithm a support vector model? which analysis method is more likely to overfit a svm which is true about svm and lda? which is true of dna analysis? is lda overfittable which is more likely to overfit a support vector or a logistic regression? is lda overfit which is more likely to be overfitted which model is more likely to be overfit