Artificial Intelligence-10th Evaluating Models CBSE Board 2026 Easy
In supervised learning, what is the purpose of the testing dataset ?
In supervised learning, what is the purpose of the testing dataset ?
- (a)To train the model.
- (b)To evaluate the model’s accuracy.
- (c)To create new features.
- (d)To label the data.
🔒 Step-by-step solution
Sign up free to reveal the full worked solution — hints, steps and the final answer, with a Solve-with-us walkthrough.
More questions from Evaluating Models
Class 10 Artificial Intelligence-10th — every question with an expert-verified, step-by-step solution.
- Q2(iv) Statement 1 : Overfitting occurs when a model memorizes the traini…
- Q2(iv) A spam e-mail detection system correctly identifies an e-mail as “N…
- Q3(i) In the context of autonomous vehicle safety systems, which type o…
- Q3(i) Which of the following best describes overfitting in the contex…
- Q4(i) In a fire alarm system, if the model predicts “Fire Present” when…
- Q4(i) Recall is a classification metrics that measures :
- Q4(v) Precision is defined as :
- Q4(v) What is the primary purpose of train-test split in model evalua…
- Q5(iv) In machine learning, the error is used to see how accurately the…
- Q5(iv) This ethical concern refers to an honest explanation how the chose…
- Q5(vi) An AI model was tested with 1000 test samples. If True Positive (TP)…
- Q5(vi) Which of the following best describes model evaluation in arti…