AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 973 · 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: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
2. 2.True or false: “the learned patterns” is the model. (a) True (b) False
3. 3.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
4. 4.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
5. 5.True or false: “naming a new fruit photo” is the model. (a) False (b) True
6. 6.⏩ 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
7. 7.Which of these is a prediction? (a) labelled fruit photos (b) what training builds (c) typing a new spoken word (d) the trained program
8. 8.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
9. 9.True or false: “naming a new leaf” is a prediction. (a) False (b) True
10. 10.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
11. 11.Which of these is a prediction? (a) the trained program (b) the learned patterns (c) old emails marked spam (d) tomorrow’s rain guess
12. 12.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
13. 13.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
14. 14.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
15. 15.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
16. 16.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
17. 17.True or false: “recorded spoken words” is the model. (a) True (b) False
18. 18.Which of these is training data? (a) old emails marked spam (b) flagging a new email (c) the trained program (d) the learned patterns
19. 19.Which of these is the model? (a) flagging a new email (b) naming a new leaf (c) recorded spoken words (d) what training builds
20. 20.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
21. 21.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
22. 22.Which of these is a prediction? (a) what training builds (b) flagging a new email (c) old emails marked spam (d) past weather records
23. 23.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
24. 24.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
25. 25.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new leaf (c) recorded spoken words (d) what training builds
26. 26.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
27. 27.Which of these is the model? (a) the learned patterns (b) naming a new leaf (c) flagging a new email (d) past weather records
28. 28.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
29. 29.True or false: “labelled fruit photos” is the model. (a) True (b) False
30. 30.True or false: “old emails marked spam” is the model. (a) True (b) False
31. 31.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
33. 33.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
34. 34.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
35. 35.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
36. 36.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
37. 37.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
38. 38.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
39. 39.Which of these is training data? (a) typing a new spoken word (b) flagging a new email (c) the trained program (d) past weather records
40. 40.Which of these is a prediction? (a) labelled fruit photos (b) what training builds (c) naming a new fruit photo (d) the trained program

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