RiskIntel: Customer Risk Classification

Overview

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.

Dataset

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

Objectives

• 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.

Installation & Usage

Prerequisites

• Python 3.x
• COLAP
• Required libraries: pandas, numpy, scikit-learn RandomForestClassifier , matplotlib.pyplot , seaborn

Setup

Click COLAP Link And Downalod Dataset then You are Ready to start