So, from the Naive Bayes Classifier, we predict the fruit is a Banana.Python Implementation of Decision Tree Let's take the example of the IRIS dataset, you can directly import it from the sklearn dataset repository or download it from the article. Feel free to use any dataset, there ...
Predicting a Person's Obesity Level Using Decision Tree, Naive Bayes, and KNN Algorithms - KristianEka/estimation-obesity-levels-python
to train the Bayesian classifier. Finally, the cross-validation method was employed to construct a test set and a training set to assess the model’s detection efficiency. The naive Bayesian model was employed here for the following three reasons. First, it is fast, has low complexity and req...
In this paper, different machine learning (ML) algorithms like Gaussian Nave Bayes (GNB), K-Nearest Neighbours (KNN), Decision Tree (DT), Support Vector Machine (SVM), Random Forest (RF) and Adaptive Boosting Classifier (ABC) are used to classify the different types of faults on the ...