Following are the key problems related with learning algorithm that are described later in this article:
The challenge is to identify whether the learning algorithm is having one of the following:
Following technique can be used to identify the case of high bias (under-fitting) or high variance (over-fitting) given that the data set is split into training, cross-validation set and test set and, training dataset is used to determine the parameters that makes the best fit (least error value).
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