social-network-ads-logit-model

Model description

This is a logistic regression classifier trained on social network ads dataset (https://huggingface.co/datasets/saifhmb/social-network-ads).

Training Procedure

The preprocesing steps include using a train/test split ratio of 80/20 and applying feature scaling on all the features.

Hyperparameters

<details> <summary> Click to expand </summary> </details>

Model Plot

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Evaluation Results

Model Explainability

SHAP was used to determine the important features that helps the model make decisions

Confusion Matrix

Model Card Authors

This model card is written by following authors: Seifullah Bello