AI Worksheet: Training Data, Model, Prediction

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

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