A confusion matrix helps to illustrate what kinds of errors a classification model is making.
If you have a binary classifier model that distinguishes between a positive and a negative class, you can define the following 4 values depending on the...
To assess how a model will perform in practice we need to validate it against an independent data set. This is commonly done by splitting the data into training and test set. A model is then trained on the training set and validated on the test set....
A categorical variable is an input variable that has a discrete set of possible values. For example, if your variable is ‘season’ the possible values it can take are ‘Winter’, ‘Spring’, ‘Summer’ and ‘Autumn’.
Capital Cover Rate or Capital Adequacy Ratio (CAR) is a measurement of a bank’s available capital expressed as a percentage of a bank’s risk-weighted credit exposures. The capital adequacy ratio, also known as capital-to-risk weighted...