AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 278 · 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.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
2. 2.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) data, prediction, model (d) model, prediction, data
3. 3.True or false: “flagging a new email” is training data. (a) True (b) False
4. 4.Which of these is a prediction? (a) what training builds (b) past weather records (c) naming a new fruit photo (d) 500 labelled leaf photos
5. 5.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
6. 6.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) tomorrow’s rain guess (d) the trained program
7. 7.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
8. 8.Which of these is training data? (a) flagging a new email (b) what training builds (c) the trained program (d) old emails marked spam
9. 9.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
10. 10.Which of these is a prediction? (a) what training builds (b) naming a new leaf (c) past weather records (d) recorded spoken words
11. 11.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
12. 12.Which of these is training data? (a) naming a new leaf (b) typing a new spoken word (c) what training builds (d) recorded spoken words
13. 13.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
14. 14.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
15. 15.⏩ 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
16. 16.⏩ In machine learning, which comes first: recorded spoken words or typing a new spoken word? (a) recorded spoken words (b) typing a new spoken word
17. 17.Which of these is the model? (a) flagging a new email (b) 500 labelled leaf photos (c) the learned patterns (d) recorded spoken words
18. 18.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
19. 19.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
20. 20.True or false: “recorded spoken words” is training data. (a) True (b) False
21. 21.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
22. 22.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
23. 23.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
24. 24.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
25. 25.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
26. 26.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
27. 27.Which of these is training data? (a) flagging a new email (b) 500 labelled leaf photos (c) the learned patterns (d) naming a new fruit photo
28. 28.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
29. 29.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
30. 30.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
31. 31.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
32. 32.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
33. 33.Which of these is a prediction? (a) flagging a new email (b) recorded spoken words (c) the learned patterns (d) 500 labelled leaf photos
34. 34.True or false: “labelled fruit photos” is training data. (a) False (b) True
35. 35.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
36. 36.Which of these is the model? (a) old emails marked spam (b) the trained program (c) past weather records (d) flagging a new email
37. 37.True or false: “flagging a new email” is a prediction. (a) True (b) False
38. 38.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
39. 39.True or false: “naming a new leaf” is a prediction. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program

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