A class to store the individual messina or messinaSurv fits to a dataset.
a data frame containing summary performance measures for each feature, with features in rows, and columns:
did this feature pass the user requirements? A boolean.
the type of classifier that was fit
the threshold expression value of the classifier
the direction of the classifier
the fraction of bootstrap replicates in which a classifier was successfully trained.
the expression margin of the classifier
a list of length equal to the number of features. each list entry contains a data frame of the objective function values at each threshold (cutoff) tested. Currently only populated for messinaSurv fits, with columns cutoff, objective.
Mark Pinese [email protected]
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