How to Identify Outliers in your Data

Last Updated on August 16, 2020

Bojan Miletic asked a question about outlier detection in datasets when working with machine learning algorithms.

This post is in answer to his question.

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Outliers

Many machine learning algorithms are sensitive to the range and distribution of attribute values in the input data.

Outliers in input data can skew and mislead the training process of machine learning algorithms resulting in longer training times, less accurate models and ultimately poorer results.

Even before predictive models are prepared on training data, outliers can result in misleading representations and in turn misleading interpretations of collected
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