Measuring Bias in Machine Learning: The Statistical Bias Test
DataCamp
MAY 5, 2020
This tutorial will define statistical bias in a machine learning model and demonstrate how to perform the test on synthetic data.
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DataCamp
MAY 5, 2020
This tutorial will define statistical bias in a machine learning model and demonstrate how to perform the test on synthetic data.
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Introduction Cross-validation is a machine learning technique that evaluates a model’s performance on a new dataset. It involves dividing a training dataset into multiple subsets and testing it on a new set. This prevents overfitting by encouraging the model to learn underlying trends associated with the data.
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