Classification Regression. Jan 08 2019 CLASSIFICATION REGRESSION. A common example of classification problem is trying to classify an Iris flower among its three different species.
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Logistic Regression is a statistical. Mapping Function is used for mapping of values to predefined classes. Can be represented as an array of numbers.
Predicting the gender of a person by hisher handwriting style.
Can be represented as an array of numbers. By measurement of root. Classification models include logistic regression decision tree random forest gradient-boosted tree multilayer perceptron one-vs-rest and Naive Bayes. In Classification the output variable must be a discrete value.
