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Refers to statistical complications or problems due to having few data. If your question is about a small sample relative to the number of variables, please use the [underdetermined] tag instead.
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Can we say there is High Bias if we have high training error due to small training data size?
If for a very small dataset we have a high training error, can we say that we are underfitting or have a high bias because of the low amount of training data?
Or do we use these terms (underfitting a …