Small Dataset: The small size of the dataset may limit the model's generalizability. Future Improvements: Extend the implementation to handle continuous features or experiment with larger datasets.

Write a Python program to train a Gaussian Naive Bayes model and compare the predictions before and after Laplace Smoothing. Write a Python program to train an SVM Classifier and use GridSearchCV to ...

The program imports the NumPy library, which contains numeric array functionality. The GaussianNB module has the key code for performing Gaussian naive Bayes classification. Notice the name of the ...

Processing programming languages are very similar to processing natural languages, especially high-level languages such as Python, Java, C#, C, C++, and others. Therefore, the natural language ...

The Bayes Theorem. The Bayes theorem has various applications in Machine Learning, categorizing a mail as spam or important is one simple and very popular application of the Bayes classification.. One ...

print('Accuracy of Naive Bayes Model = ',result5.mean()) #Output:-Hybrid Ensemble Learning Model. In this work, we have defined each of the five machine learning models 5 times that results in a ...