What are calibration and discrimination in the context of binary prediction?

Oct 1, 2020 ... I'm trying to understand Statistics & Probability. Can someone explain step by step, how to find the probabilities in a question like the following? Apr 18, 2024 ... A pure significance test (PST) tests a simple null hypothesis H$f$ : Y ~ $f$ without specifying an alternative hypothesis by rejecting H$f$ ... Binomial distribution determines the probability of a given number of successes in a fixed number of independent and identical trials which result in either ... 0.0, all arguments are unitless. This change was made to align the behavior of the random distribution function to other probability distribution functions. If ... Dec 16, 2019 ... Discrete Statistical Distributions · index · modules · next · previous. Negative Binomial Distribution¶. The negative binomial random variable ... A binomial experiment takes place when the number of successes is counted in one or more Bernoulli Trials. Note that the four outcomes are equally likely: each has probability 1/4. To see this, note that the tosses of the coin are independent (neither affects the ... Apr 20, 2016 ... Calculating the cumulative binomial probability is still too slow. But if the binomial distribution would be the normal distribution I could ... Constructor Summary. BinomialDistribution() Default constructor: creates the binomial distribution with 10 trials and probability of success 1/2. Aug 21, 2024 ... Binomial distribution is a fundamental concept that finds extensive application in machine learning. From binary classification to hypothesis ...