tallyModel-class: class for tallying models
In marcusbuckmann/ffcr: Train two families of transparent classification models: fast-and-frugal trees and tallying

tallyModel-class

R Documentation

class for tallying models

An S4 class to represent a tallying tree model

call: An image of the call that produced the object.
formula: formula object of the model.
parameters: Parameters used to train the tallying model.
performance: List showing fitting and cross-validated performance.
class_labels: A vector of length 2 containing the class labels. The first entry is referred to as the negative class, the second entry is referred to as the positive class.
weights: A numeric vector of length 2. The first entry denotes the weight of instances in the negative class, the second entry the weight of instances in the positive class.
prior: The proportion of objects in the positive class in the training set.
tally: Representation of the tallying model
split_function: How numeric features are split when 'basic' method is used.
training_data: Data that was used to train the model

marcusbuckmann/ffcr documentation built on Jan. 4, 2024, 3:45 p.m.

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