Predictive Analysis with Explainable AI

Telco data in tabular format was used to predict the output label. This notebook contains data cleaning, visualizing, and machine learning approaches to predict the output label. After predicting the label, Explainable AI was used to explain the model output.

Dataset

Dataser link: Kaggle

Model Accuracy

From the dataset 80% data was used for training and 20% for testing.

Machine Learning Models	Accuracy (%)	Area Under the Curve (%)
SVM	76.62%	85.27%
XGBoost	89.08%	95.25%
Random Forest	96.02%	99.55%
Naive Bayes	76.11%	83.55%
AdaBoost	79.79%	86.93%
Logistics Regression	78.57%	85.38%

Explainable AI

LIME and SHAP was used to explain model's output.