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3.2 Classification and Regression#
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Problems that need a quantitative response (numeric value) are regression; problems that need a qualitative response (boolean or category) are classification. Many statistical methods can be applied to both types of problems.
Binary classification has two output classes. They usually end up being “A” and “not A”. Examples are “earthquake” or “no earthquake=noise”. Multiclass classification refers to one with more than two classes.
Classification here requires that we know the labels, it is a form of supervised learning.
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3.1 Clustering — ML Geo Curriculum
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3. Choice of number of clusters: The Elbow Method[<matplotlib.lines.Line2D at 0x2ba38ac10>]
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