AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 401 · 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.Which of these is training data? (a) what training builds (b) naming a new leaf (c) old emails marked spam (d) naming a new fruit photo
2. 2.True or false: “flagging a new email” is training data. (a) False (b) True
3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
4. 4.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
5. 5.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
6. 6.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
7. 7.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
8. 8.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
9. 9.Which of these is training data? (a) the learned patterns (b) naming a new fruit photo (c) past weather records (d) flagging a new email
10. 10.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
11. 11.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
12. 12.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
13. 13.True or false: “flagging a new email” is a prediction. (a) False (b) True
14. 14.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
15. 15.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
16. 16.True or false: “old emails marked spam” is the model. (a) False (b) True
17. 17.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
18. 18.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
19. 19.Which of these is the model? (a) recorded spoken words (b) labelled fruit photos (c) naming a new leaf (d) the trained program
20. 20.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
21. 21.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
22. 22.True or false: “the learned patterns” is the model. (a) True (b) False
23. 23.True or false: “naming a new leaf” is a prediction. (a) False (b) True
24. 24.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
25. 25.⏩ 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
26. 26.Which of these is a prediction? (a) what training builds (b) typing a new spoken word (c) past weather records (d) old emails marked spam
27. 27.True or false: “old emails marked spam” is a prediction. (a) False (b) True
28. 28.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
29. 29.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
30. 30.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
31. 31.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
32. 32.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
33. 33.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) 500 labelled leaf photos (d) the learned patterns
34. 34.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
35. 35.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
36. 36.Which of these is the model? (a) the learned patterns (b) 500 labelled leaf photos (c) recorded spoken words (d) naming a new fruit photo
37. 37.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
38. 38.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
39. 39.⏩ 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
40. 40.⏩ 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

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