Student Session Evaluation for B11: A Comparative Analysis of Linear Regression and Machine Learning Techniques in the Laboratory Calibration of Low-Cost Sensors

Deadline: Fri, 6/14
* - indicates a required item.
* Please use the following scale to rate the session:
 1 - Very Dissatisfied2 - Dissatisfied3 - Neither Satisfied nor Dissatisfied4 - Satisfied5 - Very Satisfied
   Presentation Content: interactive, informative, and relevant to my work
   Description: session presented matched advertised description
   Organization: well-planned session, speakers followed advertised schedule
   Content Level: session presented matched advertised content level(s)
   The session was not a sales pitch and did not promote a specific vendor, product, or service
Overall Comments: (Anything you’d like to share about the session) *Please keep a professional tone and provide constructive feedback since presenters will be able to view your comments exactly as written. Include your name and email address if you are requesting follow-up.

Student Presenter evaluation: Runcheng Fang

B11: A Comparative Analysis of Linear Regression and Machine Learning Techniques in the Laboratory Calibration of Low-Cost Sensors
Student Presenter evaluation:
 N/A1 - Poor2 - Less than Average3 - Average4 - Very Good5 - Excellent
   Technical knowledge
   Speaking ability
   Willingness & ability to answer questions
Overall Comments: (Anything you’d like to share about the speaker)
Student Co-Presenter evaluation:
 N/A1 - Poor2 - Less than Average3 - Average4 - Very Good5 - Excellent
   Technical knowledge
   Speaking ability
   Willingness & ability to answer questions
Overall Comments: (Anything you’d like to share about the speaker)