AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 874 · 40 questions

AI tip (Data → model → prediction): Training data = the examples (500 labelled leaf photos, old emails marked spam). The model = the learned patterns that training builds. A prediction = the model’s answer about something NEW (naming a new leaf, flagging a new email). The order is always data → model → prediction.

1. 1.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
2. 2.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
3. 3.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
4. 4.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
5. 5.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
6. 6.True or false: “what training builds” is training data. (a) True (b) False
7. 7.Which of these is a prediction? (a) flagging a new email (b) labelled fruit photos (c) recorded spoken words (d) 500 labelled leaf photos
8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
9. 9.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
10. 10.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
11. 11.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
12. 12.Which of these is a prediction? (a) naming a new leaf (b) labelled fruit photos (c) the trained program (d) what training builds
13. 13.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
14. 14.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) tomorrow’s rain guess (d) 500 labelled leaf photos
15. 15.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
16. 16.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
17. 17.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
18. 18.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
19. 19.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
20. 20.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
21. 21.Which of these is the model? (a) 500 labelled leaf photos (b) past weather records (c) what training builds (d) old emails marked spam
22. 22.Which of these is the model? (a) the trained program (b) past weather records (c) typing a new spoken word (d) recorded spoken words
23. 23.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
24. 24.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
25. 25.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
26. 26.Which of these is training data? (a) naming a new leaf (b) labelled fruit photos (c) typing a new spoken word (d) the trained program
27. 27.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
28. 28.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
29. 29.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
30. 30.Which of these is the model? (a) flagging a new email (b) the learned patterns (c) tomorrow’s rain guess (d) old emails marked spam
31. 31.True or false: “old emails marked spam” is the model. (a) True (b) False
32. 32.Which of these is training data? (a) naming a new leaf (b) past weather records (c) the learned patterns (d) naming a new fruit photo
33. 33.True or false: “past weather records” is training data. (a) True (b) False
34. 34.True or false: “labelled fruit photos” is training data. (a) False (b) True
35. 35.True or false: “old emails marked spam” is training data. (a) False (b) True
36. 36.True or false: “naming a new leaf” is training data. (a) True (b) False
37. 37.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
38. 38.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
39. 39.True or false: “naming a new fruit photo” is training data. (a) False (b) True
40. 40.Which of these is a prediction? (a) what training builds (b) the learned patterns (c) the trained program (d) typing a new spoken word

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students