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https://github.com/gakas14/xgboost_carevaluation


https://github.com/gakas14/xgboost_carevaluation

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# XGBoost_CarEvaluation

The used car market has significantly grown in recent times, with clients ranging from used car dealers and buyers. You are provided with a car evaluation dataset that has features like price, doors, safety, and so on.

Actions to Perform:

1. Predict the condition of a vehicle based on its features.
2. Plot the most important features.
3. Train multiple classifiers and compare the accuracy.
- LinearRegression.
- KNN.
- RandomForest.
- XGBoost.

4. Evaluate the XGBoost model with K-fold cross-validation.