get_probabilities: Get probabilities

In RebeccaGroh/seqbtests: Sequential Bayesian Comparison of ML Algorithm Performances

Description

This function defines the probabilities resulting from the Bayesian tests for each algorithm that is tested against the baseline.

Usage

get_probabilities(result, compare, prob)

Arguments

result	('list') Data frame with all the results within in the tests.
compare	('character') Defines if one algorithm needs to perform better (better) for decisions based on the posterior distribution or whether it is sufficient to perform not worse (equal).
prob	('double') Threshold probability that decision rely on. Default is 0.95.

Value

('list')
Column of result data frame.

RebeccaGroh/seqbtests documentation built on Nov. 17, 2021, 8:50 a.m.