AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 170 · 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: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
2. 2.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) a label error (d) training data
3. 3.True or false: “old emails marked spam” is training data. (a) True (b) False
4. 4.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
5. 5.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
6. 6.Which of these is a prediction? (a) the learned patterns (b) past weather records (c) naming a new leaf (d) 500 labelled leaf photos
7. 7.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
8. 8.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
9. 9.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
10. 10.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
11. 11.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
12. 12.Which of these is the model? (a) what training builds (b) flagging a new email (c) typing a new spoken word (d) past weather records
13. 13.Which of these is training data? (a) the learned patterns (b) 500 labelled leaf photos (c) what training builds (d) the trained program
14. 14.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
15. 15.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
16. 16.Which of these is a prediction? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) the learned patterns (d) labelled fruit photos
17. 17.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
18. 18.Which of these is training data? (a) tomorrow’s rain guess (b) old emails marked spam (c) the trained program (d) typing a new spoken word
19. 19.True or false: “the trained program” is the model. (a) False (b) True
20. 20.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
21. 21.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
22. 22.True or false: “old emails marked spam” is a prediction. (a) False (b) True
23. 23.Which of these is the model? (a) past weather records (b) recorded spoken words (c) typing a new spoken word (d) the trained program
24. 24.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
25. 25.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
26. 26.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
27. 27.Which of these is the model? (a) old emails marked spam (b) 500 labelled leaf photos (c) the learned patterns (d) tomorrow’s rain guess
28. 28.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) flagging a new email (d) past weather records
29. 29.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
30. 30.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
31. 31.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
32. 32.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
33. 33.True or false: “recorded spoken words” is training data. (a) True (b) False
34. 34.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
35. 35.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
36. 36.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
37. 37.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
38. 38.Which of these is a prediction? (a) tomorrow’s rain guess (b) old emails marked spam (c) 500 labelled leaf photos (d) the trained program
39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
40. 40.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program

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