AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 534 · 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.Which of these is a prediction? (a) old emails marked spam (b) past weather records (c) recorded spoken words (d) tomorrow’s rain guess
2. 2.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
3. 3.Which of these is the model? (a) past weather records (b) labelled fruit photos (c) what training builds (d) typing a new spoken word
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
5. 5.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
6. 6.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
7. 7.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
8. 8.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
9. 9.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
10. 10.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
11. 11.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
12. 12.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
13. 13.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
14. 14.True or false: “recorded spoken words” is the model. (a) False (b) True
15. 15.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
16. 16.Which of these is training data? (a) the trained program (b) naming a new leaf (c) 500 labelled leaf photos (d) what training builds
17. 17.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
18. 18.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
19. 19.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
20. 20.Which of these is a prediction? (a) past weather records (b) labelled fruit photos (c) naming a new fruit photo (d) recorded spoken words
21. 21.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
22. 22.⏩ 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
23. 23.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
24. 24.True or false: “the trained program” is the model. (a) False (b) True
25. 25.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
26. 26.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) recorded spoken words (d) naming a new leaf
27. 27.⏩ 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
28. 28.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
29. 29.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
30. 30.True or false: “recorded spoken words” is training data. (a) True (b) False
31. 31.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
32. 32.True or false: “recorded spoken words” is a prediction. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
34. 34.⏩ 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
35. 35.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
36. 36.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
37. 37.True or false: “the learned patterns” is the model. (a) False (b) True
38. 38.True or false: “naming a new fruit photo” is the model. (a) True (b) False
39. 39.Which of these is the model? (a) the trained program (b) old emails marked spam (c) 500 labelled leaf photos (d) recorded spoken words
40. 40.Which of these is training data? (a) naming a new leaf (b) recorded spoken words (c) naming a new fruit photo (d) flagging a new email

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