AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 252 · 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.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
2. 2.⏩ In machine learning, which comes first: recorded spoken words or naming a new fruit photo? (a) recorded spoken words (b) naming a new fruit photo
3. 3.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
5. 5.True or false: “what training builds” is training data. (a) False (b) True
6. 6.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
7. 7.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
8. 8.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
9. 9.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
10. 10.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
11. 11.True or false: “recorded spoken words” is training data. (a) True (b) False
12. 12.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
13. 13.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
14. 14.Which of these is the model? (a) old emails marked spam (b) tomorrow’s rain guess (c) the learned patterns (d) naming a new leaf
15. 15.True or false: “the learned patterns” is a prediction. (a) True (b) False
16. 16.True or false: “flagging a new email” is a prediction. (a) True (b) False
17. 17.True or false: “old emails marked spam” is training data. (a) True (b) False
18. 18.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
19. 19.True or false: “typing a new spoken word” is training data. (a) False (b) True
20. 20.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
21. 21.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
22. 22.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) past weather records (d) naming a new fruit photo
23. 23.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
24. 24.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
25. 25.True or false: “the learned patterns” is the model. (a) True (b) False
26. 26.⏩ 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
27. 27.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
28. 28.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
29. 29.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
30. 30.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
31. 31.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
32. 32.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
33. 33.Which of these is a prediction? (a) what training builds (b) naming a new fruit photo (c) old emails marked spam (d) recorded spoken words
34. 34.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
35. 35.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
36. 36.⏩ 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
37. 37.Which of these is training data? (a) tomorrow’s rain guess (b) recorded spoken words (c) typing a new spoken word (d) what training builds
38. 38.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
39. 39.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
40. 40.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction

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