AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 245 · 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 the model? (a) 500 labelled leaf photos (b) flagging a new email (c) what training builds (d) typing a new spoken word
2. 2.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
3. 3.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
4. 4.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
5. 5.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
6. 6.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
7. 7.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
8. 8.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
9. 9.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
10. 10.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
11. 11.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) past weather records (d) flagging a new email
12. 12.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
13. 13.Which of these is a prediction? (a) tomorrow’s rain guess (b) the learned patterns (c) recorded spoken words (d) what training builds
14. 14.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
15. 15.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
16. 16.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
17. 17.True or false: “past weather records” is training data. (a) True (b) False
18. 18.🧪 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
19. 19.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
20. 20.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) naming a new leaf (d) old emails marked spam
21. 21.Which of these is a prediction? (a) the learned patterns (b) 500 labelled leaf photos (c) typing a new spoken word (d) old emails marked spam
22. 22.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
23. 23.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
24. 24.True or false: “old emails marked spam” is a prediction. (a) False (b) True
25. 25.True or false: “typing a new spoken word” is the model. (a) True (b) False
26. 26.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
27. 27.True or false: “what training builds” is the model. (a) True (b) False
28. 28.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
29. 29.Which of these is a prediction? (a) recorded spoken words (b) labelled fruit photos (c) naming a new fruit photo (d) what training builds
30. 30.Which of these is the model? (a) flagging a new email (b) past weather records (c) the trained program (d) recorded spoken words
31. 31.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
32. 32.True or false: “old emails marked spam” is the model. (a) True (b) False
33. 33.Which of these is the model? (a) the learned patterns (b) tomorrow’s rain guess (c) naming a new leaf (d) 500 labelled leaf photos
34. 34.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
35. 35.True or false: “the learned patterns” is training data. (a) True (b) False
36. 36.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
37. 37.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
38. 38.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
39. 39.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) naming a new leaf (d) 500 labelled leaf photos
40. 40.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction

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