When training a model, why should you randomly split the rows into separate subsets?

When training a model, why should you randomly split the rows into separate subsets?
A . to train the model twice to attain better accuracy
B. to train multiple models simultaneously to attain better performance
C. to test the model by using data that was not used to train the model

Answer: C

Explanation:

The goal is to produce a trained (fitted) model that generalizes well to new, unknown data. The fitted model is evaluated using “new” examples from the held-out datasets (validation and test datasets) to estimate the model’s accuracy in classifying new data.

https://en.wikipedia.org/wiki/Training,_validation,_and_test_sets#:~:text=Training%20dataset,-A%20training%20dataset&text=The%20goal%20is%20to%20produce,accuracy%20in%20classifying%20new%20data.

Latest AI-900 Dumps Valid Version with 85 Q&As

Latest And Valid Q&A | Instant Download | Once Fail, Full Refund

Subscribe
Notify of
guest
0 Comments
Inline Feedbacks
View all comments