Prints as text the detail on a given experiment along with summarized results (if computed)

This function takes a population of models and creates a table with annotation on the features, such as prevalence in the models and dataset as well as different statistics

Usage

makeFeatureAnnot(pop, X, y, clf)

Arguments

pop:

a population of models

X:

the X dataset where to compute the abundance and prevalence

y:

the target class

clf:

an object containing the different parameters of the classifier

Value

a list with two data.frames one containing the coefficients per each model and the other a data.frame on the features