Descriptive Statistics
This section covers how to summarize and describe the main features of a dataset.
Topics Covered
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Prerequisites
- Basic math knowledge
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Descriptive Statistics
Tutorial
Apr 11, 202610 min read
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What is Statistics
Every time you pick a machine learning model based on cross-validation scores, you are using statistics. When you compare two models and say "Model A achieves 8…
Tutorial
Apr 11, 20269 min read
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Types of Statistics
When you train a model, you collect performance numbers. Then you have to decide: what do these numbers actually mean? That question splits into two fundamental…
Tutorial
Apr 11, 202614 min read
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Population and Sample
Every model evaluation involves sampling, whether you think about it that way or not. When you run 6-fold cross-validation, you are not measuring the model's pe…
Tutorial
Apr 11, 202617 min read
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Central Tendency
When you evaluate a model across multiple cross-validation folds, the first question is: what single number should represent its performance? That question is n…
Tutorial
Apr 11, 202613 min read
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Measure of Dispersion
Knowing the average accuracy of your model tells you where performance is centered. It does not tell you whether that performance is reliable. Two models can ha…