Car Evaluation Classification Project Using Python

Trials to explore the implementation details of different ML algorithms

• Python 3.8.1
• sklearn 0.22.1
• numpy 1.18.1
• pandas 1.0.3

0. Majority Guess
1. KNN
2. Naive Bayes (Multinomial)
3. Decision Trees
4. Random Forest
5. SVM

Car Evaluation Data Set
Available at https://archive.ics.uci.edu/ml/datasets/Car+Evaluation

• The dataset is skewed towards 'unacc' class with almost 70% of the dataset in this class

Islam A. Ali, PhD Student, Computing Science, University of Alberta