Variance
Expanded definition
Variance refers to the variability of model predictions for a given data point, which can indicate how much the model's performance will change with different training data. A model with high variance pays too much attention to the training data, leading to overfitting and poor generalization to new, unseen data. Understanding the trade-off between bias and variance is crucial for creating robust machine learning models.
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Variance FAQ
What is Variance?
Variance measures a model's sensitivity to fluctuations in the training data, contributing to overfitting when high.
How is Variance used in AI systems?
Variance refers to the variability of model predictions for a given data point, which can indicate how much the model's performance will change with different training data. A model with high variance pays too much attention to the training data, leading to overfitting and poor generalization to new, unseen data. Understanding the trade-off between bias and variance is crucial for creating robust...
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