JKISeason2-13

JKISeason2-13
https://www.knime.com/just-knime-it

Level : Medium

Description: You ara a data scientist working for a real estate company, and heard a rumour that the "average number of rooms per dwelling" (RM) may be connected to the "per capita crime rate" (CRIM) depending on the city/town. You then decide to investigate if this is the case for Boston, the city where you live and work from. To this end, you decide to experiment with a machine learning regression model and with a topic that you have recently been studying: XAI. How are RM and CRIM connected in Boston? Hint: Consider calculating the SHAP values of each independent feature using a SHAP loop. Hint 2: Consider using a dependence plot to verify how RM and CRIM are connected visually.

Author: Keerthan Shetty

Dataset: Boston Real Estate Data in the KNIME Hub

External resources

• Just KNIME It
• Reference workflow