7 Effective Ways to Deal With a Small Datasetby@kate-koidan
23,917 reads

7 Effective Ways to Deal With a Small Dataset

August 26th 2019
5 min
by @kate-koidan 23,917 reads
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Models trained on a small number of observations tend to overfit and produce inaccurate results. Learn how to avoid overfitting and get accurate predictions even if available data is scarce. Removing the impact of outliers from data is essential for getting a sensible model with a small dataset. 7 Effective Ways to Deal With a Small Dataset include: Choose simple models, select relevant features, Combine several models, combine different models, and use regularization techniques to keep a model more conservative. For example, logistic regression is a simple linear model with limited number of weights.

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