Priyanka, N.A. and Kumar, D. (2020) Decision Tree Classifier A Detailed Survey. International Journal of Information and Decision Sciences, 12, 246-269.

Furthermore, feature value of elev_percentile_99th has an important influence on tree species classification and tree species with similar crown structures may lead to a higher misidentification rate.

A simplified Decision Tree ID3 algorithm was advanced in this paper, and it overcame the existing bias of ID3 algorithm. And then, ADABOOST Algorithm and improved ID3 Algorithm were constituted a ...

This repository hosts a Jupyter notebook for Fake News Detection, utilizing machine learning algorithms like Logistic Regression , Gradient Boosting Classifier , Random Forest and Decision Tree. The ...

Decision trees are a common and adaptable machine-learning method that may be used for both classification and regression. They are well-known for their openness and the ease with which they may be ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A multi-class classification problem is one where the goal is to predict the ...