A bike rental company wants to predict how many bikes will be rented next Saturday based on historical weather and holiday data. What type of Machine Learning model should they train?
Category: Machine Learning
lightbulb
Explanation
Detailed breakdown of the correct answer
Machine Learning - Regression
The goal is to predict a number (quantity of bikes), which is a continuous variable. Regression is the technique for predicting numerical values.
check_circle
Therefore, the correct answer is: Regression.
cancel
The option that says: Classification is incorrect because it would predict a discrete category (e.g., 'High demand' vs 'Low demand'), not an exact number.
cancel
The option that says: Clustering is incorrect because it is for grouping unlabeled data, and here we have historical labeled data (quantity).
cancel
The option that says: Anomaly Detection is incorrect because it looks for rare data, not predicting future normal values.