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MACHINE LEARNING | PLOTS | PYTHON
Top 4 Plots in Machine Learning
A practical guide to the most important visualisations to master machine learning
In the dynamic world of machine learning, visualisations play a vital role. They are the silent narrators of the complex stories that data tells.
Especially in the world of machine learning, data visualisation plays an even more critical role to further enable us to understand the underlying structures of our models and aid us in better interpreting the quality of our results.
In this article, we’ll dive into five crucial plots that any machine learning enthusiast must know.
Plot 1: Elbow Curve
The Elbow Curve is an excellent tool used to determine the optimal number of clusters in a clustering algorithm such as K-Means.
As the name implies, the plot often has a sharp bend (i.e., the elbow), which indicates the ‘sweet-spot’ where adding more clusters leads to worse cluster separation and inferior results.
This plot is indispensable for ensuring that we’re extracting meaningful clusters from our data, without over-fitting or under-fitting.
