Accuracy is different from bias
http://xgboost.readthedocs.io/en/latest/model.html
The correct answer is marked in red. Please consider if this visually seems a reasonable fit to you. The general principle is we want both a simple and predictive model. The tradeoff between the two is also referred as bias-variance tradeoff in machine learning.
High bias is underfitting
High variance is overfitting
http://xgboost.readthedocs.io/en/latest/model.html
The correct answer is marked in red. Please consider if this visually seems a reasonable fit to you. The general principle is we want both a simple and predictive model. The tradeoff between the two is also referred as bias-variance tradeoff in machine learning.
High bias is underfitting
High variance is overfitting
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