It would be nice to know the confidence with which we classify unknown data. When a new datapoint is classified into a known category, we can train the SVM to compute the confidence level of that output as well. A confidence level refers to the probability that the value of a parameter falls within a specified range of values.
Extracting confidence measurements
Getting ready
In this recipe, we will use an SVM classifier to find the best separating boundary between a dataset of points. In addition, we will also perform a measure of the confidence level of the results obtained.
