AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 145 · 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.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
2. 2.True or false: “flagging a new email” is training data. (a) True (b) False
3. 3.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
4. 4.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
5. 5.Which of these is the model? (a) typing a new spoken word (b) the trained program (c) naming a new leaf (d) 500 labelled leaf photos
6. 6.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
7. 7.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
8. 8.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
9. 9.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
10. 10.Which of these is training data? (a) past weather records (b) the learned patterns (c) what training builds (d) flagging a new email
11. 11.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
12. 12.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
13. 13.Which of these is training data? (a) what training builds (b) recorded spoken words (c) typing a new spoken word (d) naming a new fruit photo
14. 14.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
15. 15.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
16. 16.🔮 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
17. 17.Which of these is a prediction? (a) 500 labelled leaf photos (b) typing a new spoken word (c) the trained program (d) labelled fruit photos
18. 18.True or false: “recorded spoken words” is the model. (a) False (b) True
19. 19.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
20. 20.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
21. 21.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
22. 22.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
23. 23.True or false: “typing a new spoken word” is the model. (a) True (b) False
24. 24.True or false: “the learned patterns” is a prediction. (a) True (b) False
25. 25.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
26. 26.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
27. 27.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
28. 28.True or false: “what training builds” is a prediction. (a) False (b) True
29. 29.⏩ 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
30. 30.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
31. 31.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) tomorrow’s rain guess (d) naming a new leaf
32. 32.True or false: “recorded spoken words” is training data. (a) False (b) True
33. 33.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
34. 34.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
35. 35.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
36. 36.⏩ 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
37. 37.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
38. 38.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
39. 39.Which of these is a prediction? (a) past weather records (b) old emails marked spam (c) naming a new leaf (d) the trained program
40. 40.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email

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