AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 152 · 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 is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
2. 2.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
3. 3.True or false: “past weather records” is the model. (a) False (b) True
4. 4.True or false: “old emails marked spam” is training data. (a) False (b) True
5. 5.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
6. 6.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) 500 labelled leaf photos (d) typing a new spoken word
7. 7.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
8. 8.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
9. 9.True or false: “the learned patterns” is training data. (a) False (b) True
10. 10.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
11. 11.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
12. 12.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
13. 13.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
14. 14.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
15. 15.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
16. 16.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
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.True or false: “naming a new leaf” is training data. (a) True (b) False
19. 19.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
20. 20.Which of these is the model? (a) the learned patterns (b) naming a new leaf (c) naming a new fruit photo (d) labelled fruit photos
21. 21.Which of these is a prediction? (a) naming a new leaf (b) the learned patterns (c) recorded spoken words (d) what training builds
22. 22.Which of these is training data? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) naming a new leaf (d) what training builds
23. 23.Which of these is training data? (a) the learned patterns (b) labelled fruit photos (c) the trained program (d) naming a new leaf
24. 24.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
25. 25.⏩ 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
26. 26.True or false: “naming a new leaf” is a prediction. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
28. 28.True or false: “flagging a new email” is a prediction. (a) True (b) False
29. 29.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
30. 30.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
31. 31.Which of these is a prediction? (a) the trained program (b) tomorrow’s rain guess (c) labelled fruit photos (d) 500 labelled leaf photos
32. 32.⏩ 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
33. 33.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
34. 34.Which of these is the model? (a) naming a new leaf (b) flagging a new email (c) naming a new fruit photo (d) what training builds
35. 35.Which of these is a prediction? (a) flagging a new email (b) past weather records (c) old emails marked spam (d) the learned patterns
36. 36.True or false: “old emails marked spam” is the model. (a) True (b) False
37. 37.True or false: “the learned patterns” is the model. (a) True (b) False
38. 38.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
39. 39.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
40. 40.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction

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