EMERGING TRENDS IN COMPUTING
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
Predict the price of a house
|
|
Supervised Learning
|
|
|
Unsupervised Learning
|
|
|
Either A or B
|
|
|
None of the above
|
Explanation:
Detailed explanation-1: -The Random Forest model proved to be the most appropriate model giving the highest value of the R-square and the minimum Root Mean Square Error Value. Hence, it can be concluded that the Random Forest Model is the most appropriate model for this dataset and should be used for predicting housing prices.
Detailed explanation-2: -Machine Learning: Regression-predict house price (lesson 2)
There is 1 question to complete.