### classification algorithms | types of classification

Nov 25, 2020 · Step 1: Convert the data set to the frequency table Step 2: Create a Likelihood table by finding the probabilities like Overcast probability = 0.29 and probability of... Step 3: Now, use the Naive Bayesian equation to calculate the posterior probability for each class. The class with the

With classification algorithms, you take an existing dataset and use what you know about it to generate a predictive model for use in classification of future data points

May 05, 2018 · A classifier is a machine learning model that is used to discriminate different objects based on certain features. Principle of Naive Bayes Classifier: A Naive Bayes classifier is a probabilistic machine learning model that’s used for classification task. The …