A machine learning model that uses existing data to predict thedirection of the stock market as up or down would be known as:____________.
c. Decision Tree
d. Principle Components Analysis
A farmer’s yield of corn is expressed as a linear regressionmodel based upon the input variable which is the number of days ofsunlight during the growing season. The model is express as Y = mX+ b where Y is the estimated corn yield in bushels per acre, m =1.43 and b = 50. Assuming that during the growing season it ispredicted that there will be 82 days of sun, what will the cornyield be in bushels per acre?
___________ bushels per acre
It is better to have a lot of data and a less sophisticatedalgorithm than to have less data and a more sophisticatedalgorithm.
In principle components analysis, values are computed for newvariables that contain as much of the variance as possible in a fewvariables.
Logistic regression can be used to classify cases into how manyclasses?