Improving Predictive Models
Keyon Vafa discusses the factors that can drive the accuracy of predictive models, including the importance of data volume and the impact of survey data. He highlights the potential for better predictions by increasing the volume of resume data and the smaller survey data set. Additionally, he explores the possibility of reaching a point where further improvements require changes to the model or the use of other data sources.In this clip
From this podcast
Data Skeptic
CAREER Prediction
Related Questions
Can survey data improve predictions?
What are some uses of large data sets in the context of the episode CAREER Prediction and the clip Predictive Models and Small Survey Data?
What are some uses of large data sets in the context of the episode CAREER Prediction and the clip Improving Predictive Models?