AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 448 · 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: “the trained program”? (a) training data (b) a prediction (c) the model
2. 2.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
3. 3.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) labelled fruit photos (d) typing a new spoken word
4. 4.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
5. 5.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
6. 6.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
7. 7.Which of these is the model? (a) the trained program (b) past weather records (c) 500 labelled leaf photos (d) recorded spoken words
8. 8.True or false: “old emails marked spam” is a prediction. (a) True (b) False
9. 9.Which of these is the model? (a) recorded spoken words (b) naming a new fruit photo (c) flagging a new email (d) what training builds
10. 10.Which of these is training data? (a) the trained program (b) past weather records (c) the learned patterns (d) flagging a new email
11. 11.True or false: “what training builds” is training data. (a) True (b) False
12. 12.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
13. 13.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
14. 14.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
15. 15.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
16. 16.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
17. 17.True or false: “the trained program” is the model. (a) False (b) True
18. 18.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
19. 19.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word
20. 20.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
21. 21.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
22. 22.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
23. 23.True or false: “old emails marked spam” is the model. (a) False (b) True
24. 24.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
25. 25.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to delete its data (d) to change its name
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.Which of these is training data? (a) 500 labelled leaf photos (b) naming a new leaf (c) the trained program (d) tomorrow’s rain guess
28. 28.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
29. 29.True or false: “labelled fruit photos” is training data. (a) False (b) True
30. 30.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
31. 31.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
32. 32.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
33. 33.True or false: “naming a new leaf” is the model. (a) False (b) True
34. 34.True or false: “old emails marked spam” is training data. (a) True (b) False
35. 35.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
36. 36.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) typing a new spoken word (d) old emails marked spam
37. 37.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
38. 38.True or false: “naming a new fruit photo” is training data. (a) False (b) True
39. 39.True or false: “recorded spoken words” is training data. (a) False (b) True
40. 40.True or false: “the trained program” is training data. (a) True (b) False

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