AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 923 · 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.True or false: “old emails marked spam” is a prediction. (a) True (b) False
2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
3. 3.Which of these is training data? (a) the learned patterns (b) labelled fruit photos (c) the trained program (d) tomorrow’s rain guess
4. 4.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
5. 5.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
6. 6.Which of these is a prediction? (a) what training builds (b) old emails marked spam (c) the learned patterns (d) flagging a new email
7. 7.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
8. 8.Which of these is a prediction? (a) 500 labelled leaf photos (b) recorded spoken words (c) naming a new fruit photo (d) the trained program
9. 9.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
10. 10.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) recorded spoken words (d) typing a new spoken word
11. 11.True or false: “the trained program” is a prediction. (a) False (b) True
12. 12.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
13. 13.True or false: “past weather records” is a prediction. (a) False (b) True
14. 14.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
15. 15.True or false: “flagging a new email” is a prediction. (a) False (b) True
16. 16.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
17. 17.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
18. 18.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
19. 19.Which of these is the model? (a) 500 labelled leaf photos (b) the trained program (c) recorded spoken words (d) naming a new fruit photo
20. 20.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
21. 21.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
22. 22.⏩ 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
23. 23.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
24. 24.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
25. 25.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
26. 26.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
27. 27.⏩ 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
28. 28.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
29. 29.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
30. 30.⏩ In machine learning, which comes first: recorded spoken words or naming a new fruit photo? (a) recorded spoken words (b) naming a new fruit photo
31. 31.True or false: “what training builds” is training data. (a) True (b) False
32. 32.Which of these is a prediction? (a) what training builds (b) typing a new spoken word (c) 500 labelled leaf photos (d) past weather records
33. 33.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
34. 34.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password
35. 35.⏩ 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
36. 36.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
37. 37.Which of these is training data? (a) old emails marked spam (b) flagging a new email (c) naming a new fruit photo (d) the trained program
38. 38.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
39. 39.Which of these is the model? (a) what training builds (b) 500 labelled leaf photos (c) naming a new leaf (d) labelled fruit photos
40. 40.True or false: “naming a new leaf” is a prediction. (a) False (b) True

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