RiskIntel is a machine learning project designed to predict whether a customer is "risky" or "not risky" based on various features. This model helps businesses assess customer risk and make informed decisions.
The dataset used for training is Customer_Risky_Not_Risky.csv, which contains the following columns:
- label: Target variable (1 for risky, 0 for not risky)
- id: Unique identifier for each customer
- fea_1 to fea_11: Various features influencing risk assessment
- Develop a predictive model to classify customer risk.
- Utilize feature engineering and machine learning techniques.
- Evaluate the model's performance using accuracy, precision, recall, and F1-score.
- Python 3.x
- COLAP
- Required libraries: pandas, numpy, scikit-learn RandomForestClassifier , matplotlib.pyplot , seaborn
Click COLAP Link And Downalod Dataset then You are Ready to start