AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 814 · 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.Which of these is training data? (a) the learned patterns (b) past weather records (c) flagging a new email (d) what training builds
3. 3.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
4. 4.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
5. 5.Which of these is training data? (a) flagging a new email (b) old emails marked spam (c) the learned patterns (d) what training builds
6. 6.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
7. 7.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
8. 8.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
9. 9.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) training data (d) a label error
10. 10.True or false: “naming a new leaf” is training data. (a) False (b) True
11. 11.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
12. 12.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
13. 13.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
14. 14.⏩ 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
15. 15.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
16. 16.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
17. 17.True or false: “flagging a new email” is training data. (a) False (b) True
18. 18.True or false: “what training builds” is the model. (a) True (b) False
19. 19.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
20. 20.True or false: “recorded spoken words” is training data. (a) False (b) True
21. 21.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
22. 22.Which of these is training data? (a) flagging a new email (b) recorded spoken words (c) tomorrow’s rain guess (d) typing a new spoken word
23. 23.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
24. 24.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
25. 25.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
26. 26.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
27. 27.⏩ 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
28. 28.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
29. 29.True or false: “old emails marked spam” is training data. (a) False (b) True
30. 30.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
31. 31.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
32. 32.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
33. 33.Which of these is the model? (a) typing a new spoken word (b) old emails marked spam (c) the trained program (d) naming a new leaf
34. 34.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
35. 35.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
36. 36.Which of these is the model? (a) labelled fruit photos (b) the learned patterns (c) naming a new fruit photo (d) typing a new spoken word
37. 37.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
38. 38.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
39. 39.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
40. 40.Which of these is a prediction? (a) recorded spoken words (b) tomorrow’s rain guess (c) old emails marked spam (d) labelled fruit photos

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