What are the various types of classifiers?
- Perceptron.
- Naive Bayes.
- Decision Tree.
- Logistic Regression.
- K-Nearest Neighbor.
- Artificial Neural Networks/Deep Learning.
- Support Vector Machine
What is a rule-based classifier?
Rule-based classifier can be defined as the classification scheme that is making use of IF-THEN rules for the class prediction (Steinfeld, R., ACISP (Conference), In Steinfeld, R., In Hawkes, P., & ACISP 2010. (2010). They are as well used in the prediction algorithm to give the ranking to the rules which can then be utilized in predicting the class of new cases.
What is the difference between nearest neighbor and naïve bayes classifiers?
The main difference between nearest neighbor classifier and naïve bayes classifier is that the former is a discriminative classifier though the latter is generative classifier. When looking at specific differences then nearest neighbor classifier is known as a supervised lazy classifier that has local heuristics.
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