A Visualization for Comparative Analysis of Regression Models

1. 1Collect performance metrics such as MAE, RMSE, and R-squared for different regression models
2. 2Visualize the metrics using a proposed visualization technique to facilitate comparison
3. 3Analyze the visualization to identify the strengths and weaknesses of each model
4. 4Select the best model based on the comparative analysis

Data scientists and machine learning engineers can benefit from this technique to compare and select the best regression model for their application, and product managers can use it to inform decisions on model selection

💡 Visualization can facilitate comparative analysis of regression models and inform model selection

📈 New visualization technique for comparing regression models! 📊