Regression Model Evaluation

Description: Join Hayley to learn how to evaluate the performance and feature importance analysis of regression models to determine their effectiveness, helping you answer the million dollar question - Is this model reliable or does it need further refinement before trusting its predictions? 

Module Type: Functional & Foundational

Level: Intermediate

Audience: Model creators & managers

Prerequisites: "Regressions", "One AI Exploratory Data Analysis (EDA) Report", "One AI Results Summary", & "Cross Validation" modules.

Run time: ~21 minutes

Module Sections:

00:00 - Intro, Topics Covered, & Learning Outcomes

01:07 - Regression Model Evaluation Overview

04:37 - Introduction to Evaluation Metrics

• 05:06 - Explained Variance Score
• 07:27 - Mean Squared Error & Root Mean Squared Error
• 09:14 - Residuals Plot
• 11:37 - Prediction Error Plot
• 12:42 - Prediction Distribution Plot
• 13:56 - Prediction Comparison Plot
• 15:23 - Outlier Dataframe

16:49 - Feature Importance

19:25 - Importance of Interpretation + Iteration

20:12 - Conclusion & Thanks

The module transcription is attached below as a pdf.

• Regression Model Evaluation Transcript.docx.pdf100 KB