AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 240 · 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.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
2. 2.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
3. 3.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
4. 4.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
5. 5.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
6. 6.True or false: “flagging a new email” is training data. (a) False (b) True
7. 7.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
8. 8.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
9. 9.Which of these is the model? (a) the learned patterns (b) flagging a new email (c) 500 labelled leaf photos (d) labelled fruit photos
10. 10.True or false: “the learned patterns” is training data. (a) False (b) True
11. 11.True or false: “labelled fruit photos” is the model. (a) False (b) True
12. 12.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
13. 13.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a prediction (d) a password
14. 14.Which of these is a prediction? (a) recorded spoken words (b) the learned patterns (c) flagging a new email (d) 500 labelled leaf photos
15. 15.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
16. 16.True or false: “labelled fruit photos” is training data. (a) False (b) True
17. 17.True or false: “past weather records” is the model. (a) False (b) True
18. 18.Which of these is the model? (a) naming a new fruit photo (b) what training builds (c) recorded spoken words (d) labelled fruit photos
19. 19.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
20. 20.Which of these is training data? (a) what training builds (b) past weather records (c) naming a new leaf (d) naming a new fruit photo
21. 21.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
22. 22.Which of these is training data? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) what training builds (d) the learned patterns
23. 23.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
24. 24.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
25. 25.Which of these is training data? (a) recorded spoken words (b) flagging a new email (c) typing a new spoken word (d) the trained program
26. 26.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
27. 27.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
28. 28.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
29. 29.True or false: “past weather records” is training data. (a) False (b) True
30. 30.True or false: “recorded spoken words” is training data. (a) False (b) True
31. 31.True or false: “naming a new leaf” is a prediction. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
33. 33.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
34. 34.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
35. 35.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) model, prediction, data (d) prediction, data, model
36. 36.Which of these is training data? (a) naming a new fruit photo (b) old emails marked spam (c) tomorrow’s rain guess (d) naming a new leaf
37. 37.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
38. 38.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
39. 39.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
40. 40.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds

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