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Naïve Bayes & Decision Tree Classifiers by sindhu gayathri is a document available to read on EtoBox.
What is Naïve Bayes & Decision Tree Classifiers about?
The document describes developing a Naive Bayesian classifier for a tennis dataset to predict whether a player can play or not based on weather conditions. It loads the dataset, calculates probabilities for each attribute value, applies Laplacian smoothing if needed, and predicts the class for a given test tuple. It also constructs a decision tree classifier for a diabetes dataset, calculates accuracy on test data using k-fold cross validation and reports the result.
- Author
- sindhu gayathri
- Language
- EN