menu
search
person
brightness_auto
Which measures are used to know the performance of the model?
| Topic | Evaluation (project cycle) |
| Type | Short Answer Type |
| Class | 10 |
1 Answer
There are two measures used to know the performance of the model:
1. Recall
2. Precision
Study more about Evaluation at Evaluation Class 10
Important Update - Full Class 10th AI Lectures Playlist
Related questions
Welcome to Aiforkids, where you can ask questions and receive answers from other members of the community.
AI 2024 Class 10 Board Exams mein 100% laane ka plan OPEN NOW
Class 10 Complete One Shot AI Lectures at - Youtube
AI 2024 Class 10 Board Exams mein 100% laane ka plan OPEN NOW
Class 10 Complete One Shot AI Lectures at - Youtube
1.5k questions
1.4k answers
4 comments
11.8k users
Categories
- All categories
-
Artificial Intelligence
(1.2k)
- Class 12 (8)
- Class 11 (1)
-
Class 10
(1.1k)
- Communication Skills (141)
- Entrepreneurial Skills (10)
- Green Skills (62)
- Self Management Skills (12)
- ICT Skills (241)
- Introduction to AI (69)
- AI Project Cycle (31)
- Natural Language Processing (58)
- Evaluation (44)
- Board Exam Papers (4)
- Other (424)
- Class 9 (83)
- Class 8 (1)
- Class 7 (0)
- Class 6 (0)
- AI Algorithms (0)
- Other (3)
- Information Technology (35)
- Information Practices (IP) (60)
- Computer Appilcations (119)
- Data Science (1)
- Maths for AI (3)
- Programming (44)
- Forums (4)
- Data Structure and Algorithms (0)
Related questions
- Rohit is working on the AI model. He wanted to know the balance between precision and recall. What it is?
- Out of 40 pictures of cats and rabbits, There are 25 rabbits, how many cats most the model needs to identify correctly along with 15 rabbits images correctly identified by the model, to achieve more than 75% accuracy?
- Out of 100 pictures of buses and trucks, 80 are actually buses and 20 are trucks. What is the minimum number of buses identified by a model to have a recall of 90% or more?
- Suppose, the AI model has to bifurcate volleyball and football. Volleyballs are positive cases and footballs are negative cases. There are 30 images of volleyball and 26 images of footballs.
- There are 400 images of fruits the AI model is able to predict correctly so the accuracy of the model is exactly 0.5. How many correct predictions does the machine make?
- There are 14 images of cows and buffalos. There are 8 images of cows and 6 images of buffalos. The model has predicted 5 cows and 4 buffalos. It identifies 1 cow as buffalo and 2 buffalos as cows. Compute the accuracy, precision, recall and F1 score.
- Consider that there are 10 images. Out of these 7 are apples and 3 are bananas. Kirti has run the model on the images and it catches 5 apples correctly and 2 bananas correctly. What is the accuracy of the model?
- There are 16 images, 9 are cat images and 7 are dog images. The cat images are positive cases and dog images are negative cases. The model identifies 5 cat images correctly and 3 cat images as dog images. Similarly, it identifies 4 of them correctly as dog images. Find the accuracy of the model.
- There are 20 images of aeroplanes and helicopters. The machine identifies 12 images correctly and 3 images incorrectly for aeroplanes. Similarly 2 images correctly as helicopters. Find the accuracy of the model.
- The task is to correctly identify the mobile phones as each, where photos of oppo and Vivo phones are taken into consideration. Oppo phones are the positive cases and Vivo phones are negative cases...