Statistics - Hypothesis (Tests|Testing)

Thomas Bayes


Hypothesis testing is a test of a certain value of a parameter.

The most common hypothesis test involves testing the null hypothesis (ie the parameter is Null)

The output of a test is binary: true or false.

Discover More
Weka Accuracy Metrics
Data Mining - (Parameters | Model) (Accuracy | Precision | Fit | Performance) Metrics

Accuracy is a evaluation metrics on how a model perform. rare event detection Hypothesis testing: t-statistic and p-value. The p value and t statistic measure how strong is the...
Thomas Bayes
Statistics - (Student's) t-test (Mean Comparison)

The t-test is a test that compares means. NHST can be conducted yielding to a p-value Effect Size can be calculated like in multiple regression. Confidence Interval around the mean can also be...
Card Puncher Data Processing
Statistics - (t-value|t-statistic)

The (t-value|t-statistic) is a test statistic. In NHST, it is essentially a ratio of what we observed relative to what we would expect just due to chance. Each t-value has corresponding p-value depending...
Card Puncher Data Processing
Statistics - A/B (Test|Testing)

A/B Null Hypothesis test set up multiple copies of the website, redirect users randomly to each copies via 307 status measure which design improves the target the most. Gather Samples Assign...
Thomas Bayes
Statistics - Confidence Interval

The definition of a confidence interval says that under repeated experiments 95% of the time this confidence interval will contain the true statistic (mean, ...). if we started the whole experiment over...
Card Puncher Data Processing
Statistics - Null Hypothesis Significance Testing (NHST)

NHST is a procedure for testing the Null Hypothesis. It's a binary decision: Reject or Retain the Null Hypothesis Ie Retain the Null Hypothesis or the alternative hypothesis. Before starting any...
Thomas Bayes
Statistics - Post-hoc test

In an anova, the Post-hoc tests is used to figure out exactly where there are significant differences.
Thomas Bayes
Statistics - Power of a test

The power of a test sometimes, less formally, refers to the probability of rejecting the null when it is not correct, the chance that your experiment is right. A test's power is influenced by the choice...
Thomas Bayes
Statistics - Statistic

In general, each statistic is an estimate of a parameter, whose value is not known exactly. Every number found using a sample is just an (approximation|estimation) of a parameter (the truth). in descriptive...
Thomas Bayes

How to unit test machine learning code

Share this page:
Follow us:
Task Runner