Artificial Intelligence-10th Questions
Browse 294 Artificial Intelligence questions with expert-verified, step-by-step solutions — NCERT, exemplar and previous-year questions, organised by chapter.
- Q101 CBSE Board 2025In a quality control system for manufacturing, which scenario represents a false negative ?
- (a)When a defective product is correctly identified as defective.
- (b)When a non-defective product is inaccurately identified as defective.
- (c)When a non-defective product is correctly identified as non-defective.
- (d)When a defective product is mistakenly identified as non-defective.
- Q102 CBSE Board 2025Which condition of evaluation does the following diagram indicate ?
- (a)False Positive
- (b)False Negative
- (c)True Positive
- (d)True Negative
- Q103 CBSE Board 2025Statement 1 : Overfitting is not recommended for evaluation of a model. Statement 2 : This is because the model will simply remember the whole training set, and will therefore always predict the correct label for any point in the training set.
- (a)Both Statement 1 and Statement 2 are correct.
- (b)Both Statement 1 and Statement 2 are incorrect.
- (c)Statement 1 is correct but Statement 2 is incorrect.
- (d)Statement 2 is correct but Statement 1 is incorrect.
- Q104 CBSE Board 2025It is one of the parameters for evaluating a model’s performance and is defined as the percentage of true positive cases versus all the cases where the prediction is true. Which of the following evaluation parameter is this ?
- (a)Precision
- (b)Recall
- (c)F1 score
- (d)Accuracy
- Q105 CBSE Board 2025When a model is evaluated on the training data it always predicts correctly. This is known as ___________.
- Q106 CBSE Board 2025Which of the following is not true about Confusion Matrix ?
- (a)It allows us to understand prediction results.
- (b)It is a Model Training Matrix.
- (c)It helps in evaluation of machine learning models.
- (d)It is used to record comparison between prediction and reality.
- Q107 CBSE Board 2025With respect to evaluation, for which of the following does the prediction and reality match ?
- (a)True positive and False positive
- (b)True positive and True negative
- (c)False positive and False negative
- (d)True positive and False negative
- Q108 CBSE Board 2025Which of the following scenarios might have a high False Negative (FN) cost ?
- (a)Viral Disease Outbreak
- (b)Spam
- (c)Mining
- (d)Image Search
- Q109 CBSE Board 2025In a medical screening test for a specific disease, which scenario represents a True Negative ?
- (a)A person without the disease tests positive for the disease.
- (b)A person with the disease tests positive for the disease.
- (c)A person with the disease tests negative for the disease.
- (d)A person without the disease tests negative for the disease.
- Q110 CBSE Board 2025Draw the confusion matrix for the following data :
- (a)The number of true positive
- (b)The number of true negative
- (c)The number of false positive
- (d)The number of false negative
- Q111 CBSE Board 2025Suppose you are developing an AI model to detect fraudulent financial transaction risk. Describe False Positives and False Negatives in this context.
- Q112 CBSE Board 2025An AI model has been developed to test specimens of blood/urine/cough etc. to diagnose ailments (diabetes/liver infection etc.). The model was tested on a data-set of about 630 tests and the resulting confusion matrix is as follows :
- Q113 CBSE Board 2025A sentiment analysis model was built to classify movie reviews as either ‘Positive’ or ‘Negative’. The model was tested on a dataset of 500 reviews, resulting in the following confusion matrix :
- Q114 CBSE Board 2024_________ is one of the parameter for evaluating a model’s performance and is defined as the fraction of positive cases that are correctly identified.
- (a)Precision
- (b)Accuracy
- (c)Recall
- (d)F1
- Q115 CBSE Board 2024In spam email detection, which of the following will be considered as “False Negative” ?
- (a)When a legitimate email is accurately identified as not spam.
- (b)When a spam email is mistakenly identified as legitimate.
- (c)When an email is accurately recognised as spam.
- (d)When an email is inaccurately labelled as important.
- Q116 CBSE Board 2024Statement 1 : Confusion matrix is an evaluation metric. Statement 2 : Confusion Matrix is a record which helps in evaluation.
- (a)Both Statement 1 and Statement 2 are correct.
- (b)Both Statement 1 and Statement 2 are incorrect.
- (c)Statement 1 is correct and Statement 2 is incorrect.
- (d)Statement 2 is correct and Statement 1 is incorrect.
- Q117 CBSE Board 2024What is the primary need for evaluating an AI model’s performance in the AI Model Development process ?
- (a)To increase the complexity of the model.
- (b)To visualize the data.
- (c)To assess how well the chosen model will work in future.
- (d)To reduce the amount of data used for training.
- Q118 CBSE Board 2024Statement 1 : To evaluate a models’ performance, we need either precision or recall. Statement 2 : When the value of both Precision and Recall is 1, the F1 score is 0.
- (a)Both statement 1 and statement 2 are correct.
- (b)Both statement 1 and statement 2 are incorrect.
- (c)Statement 1 is correct, but statement 2 is incorrect.
- (d)Statement 1 is incorrect, but statement 2 is correct.
- Q119 CBSE Board 2024What do you mean by Evaluation of an AI model ? Also explain the concept of overfitting with respect to AI model Evaluation.
- Q120 CBSE Board 2024A binary classification model has been developed to classify news articles as either “Fake News” or “Real News”. The model was tested on a dataset of 500 news articles, and the resulting confusion matrix is as follows :