/Dark-Patterns-Buster-v2

Primary LanguageJavaScript

Dark-Patterns-Buster-v2

Dark Patterns Buster exposes hidden website tactics and empowers you to make informed choices online.

How to Install

  1. Clone the directory locally.
  2. In the browser, go to the extensions page and enable Developer Mode.
  3. Click on Load Unpacked and select the directory containing the manifest.json file.
  4. The extension should now appear in the list of installed extensions.

Metrics of Machine Learning Model

Confusion Matrix of all 7 Classes

Confusion Matrix

Comments:

  • The confusion matrix provides an overview of the model's performance across all 7 classes.
  • Analyzing the diagonal elements helps understand how well the model is performing for each class.
  • Consider further analysis and adjustments to improve model accuracy.

Feature Importance Plot

Feature Importance

Comments:

  • The feature importance plot illustrates the significance of different features in the machine learning model.
  • Identify the most influential features for making predictions.

Model Comparison Bar Plot

Model Comparison

Comments:

  • The bar plot compares the accuracy of different models, including Random Forest, CatBoost, and SVM.
  • Evaluate the performance of each model and choose the most suitable one for your task.

ROC Curve

ROC Curve

Comments:

  • The ROC curve visualizes the trade-off between true positive rate and false positive rate.
  • AUC (Area Under the Curve) provides a measure of the model's ability to distinguish between classes.
  • Aim for a curve that is closer to the top-left corner for better performance.