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The difference between the expected value of a parameter estimator & the true value of the parameter. Do NOT use this tag to refer to the [bias-term] / [bias-node] (ie the [intercept]).

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How to know if a learning curve from SVM model suffers from bias or variance?

I created this learning curve and I want to know if my SVM model suffers from bias or variance? How can I conclude that from this graph? …
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