January 2020
Intermediate to advanced
346 pages
9h 8m
English
Content preview from Hands-On Genetic Algorithms with Python
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Classification
When carrying out a classification task, the model needs to decide which category a certain input belongs to. Each category is represented by a single output (called a label), while the inputs are called features:
Machine learning classification model
For example, in the well-known Iris Flower dataset (https://archive.ics.uci.edu/ml/datasets/Iris), there are four features: Petal length, Petal width, Sepal length, and Sepal width. These represent the measurements that have been manually taken of actual Iris flowers.
In terms of the output, there are three labels: Iris setosa, Iris virginica, and Iris versicolor. These represent ...
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