Classifier

An algorithm that implements a classification problem is known as a classifier. Different classification problems require different classifiers. One of the best methods to choose a classifier is to test out different classifiers with different parameters within each algorithm and select the best one by cross-validation.

Different types of classifiers used in supervised learning are:

1. Linear Classifier

i. Logical Regression

ii. Naïve Bayes Classifier

iii.Perceptron  

iv. Support Vector Machine

2. K-Means Clustering

3. Decision Tree  

4. Neural networks