AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 182 · 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: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
2. 2.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
3. 3.True or false: “naming a new leaf” is a prediction. (a) False (b) True
4. 4.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
5. 5.Which of these is the model? (a) old emails marked spam (b) 500 labelled leaf photos (c) labelled fruit photos (d) the learned patterns
6. 6.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
7. 7.True or false: “old emails marked spam” is training data. (a) True (b) False
8. 8.Which of these is training data? (a) the learned patterns (b) labelled fruit photos (c) the trained program (d) tomorrow’s rain guess
9. 9.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
10. 10.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
11. 11.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
12. 12.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) the trained program (d) 500 labelled leaf photos
13. 13.Which of these is the model? (a) what training builds (b) typing a new spoken word (c) old emails marked spam (d) past weather records
14. 14.True or false: “flagging a new email” is training data. (a) True (b) False
15. 15.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
16. 16.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
17. 17.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
18. 18.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) typing a new spoken word (d) labelled fruit photos
19. 19.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it prints labels (d) it charges up
20. 20.⏩ 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
21. 21.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
22. 22.True or false: “recorded spoken words” is a prediction. (a) True (b) False
23. 23.True or false: “naming a new leaf” is the model. (a) True (b) False
24. 24.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
25. 25.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) what training builds (d) naming a new fruit photo
26. 26.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
27. 27.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
28. 28.True or false: “the trained program” is a prediction. (a) False (b) True
29. 29.Which of these is training data? (a) old emails marked spam (b) naming a new fruit photo (c) the trained program (d) what training builds
30. 30.True or false: “old emails marked spam” is a prediction. (a) True (b) False
31. 31.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
32. 32.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
33. 33.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
34. 34.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
35. 35.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) recorded spoken words (d) tomorrow’s rain guess
36. 36.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
37. 37.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
38. 38.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
39. 39.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
40. 40.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words

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