Python Programming Series Part-24. Decision Tree (Non-Linear Classifier)
Автор: Ramprasad Poojary
Загружено: 2024-04-08
Просмотров: 62
Описание:
In this session, a Non-linear binary classifier called Decision Tree (DT) is discussed. The session includes theoretical background on DT along with a demonstration using Google Colab.
The session starts by giving an introduction to Decision Tree as a classifier. The Skiing Dataset example from Stanford lecture notes ( • Lecture 10 - Decision Trees and Ensemble M... ) is used to introduce a non-linear classification problem.
A simple Loan_approval example with three attributes (Credit score, Income & Debt-to-Income Ratio) and two labels (Loan approved & Loan rejected) is used to explain the DT algorithm.
For the demonstration, Google Colab is used, the loan_approval dataset (.CSV file) from Kaggle is used and read using Pandas library functions, and the DT model is constructed, Trained & Tested using the Sklearn library. A brief explanation of the Gini index and its computation is given.
Link to my Python programming playlist: • Python Programming
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