Kizspy | Question: 34
(Choose 1 answer)
When building a predictive model, what is the goal of the deployment phase?
A. To plug in 40% of your dataset, testing the model's accuracy
B. To use the model in real-life predictions, monitoring the error rate and accuracy
C. To get the model to accept new inputs, train, and repeat training until it finds a better curve
D. To specify the type of algorithm the model should use and make sure the data is cleaned/formatted
