AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 757 · 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.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
2. 2.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
3. 3.Which of these is training data? (a) the trained program (b) typing a new spoken word (c) 500 labelled leaf photos (d) flagging a new email
4. 4.True or false: “naming a new leaf” is the model. (a) False (b) True
5. 5.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
6. 6.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
7. 7.True or false: “labelled fruit photos” is training data. (a) True (b) False
8. 8.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
9. 9.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
10. 10.Which of these is a prediction? (a) old emails marked spam (b) naming a new fruit photo (c) what training builds (d) labelled fruit photos
11. 11.Which of these is the model? (a) naming a new fruit photo (b) the learned patterns (c) flagging a new email (d) past weather records
12. 12.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
13. 13.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
14. 14.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
15. 15.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
16. 16.True or false: “flagging a new email” is the model. (a) True (b) False
17. 17.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
18. 18.Which of these is the model? (a) past weather records (b) naming a new fruit photo (c) flagging a new email (d) what training builds
19. 19.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
20. 20.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
21. 21.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
22. 22.Which of these is training data? (a) naming a new fruit photo (b) the trained program (c) flagging a new email (d) old emails marked spam
23. 23.Which of these is training data? (a) flagging a new email (b) naming a new fruit photo (c) the learned patterns (d) past weather records
24. 24.Which of these is a prediction? (a) what training builds (b) old emails marked spam (c) labelled fruit photos (d) naming a new leaf
25. 25.True or false: “past weather records” is training data. (a) False (b) True
26. 26.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
27. 27.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
28. 28.Which of these is a prediction? (a) the learned patterns (b) the trained program (c) flagging a new email (d) 500 labelled leaf photos
29. 29.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
30. 30.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
31. 31.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
32. 32.True or false: “labelled fruit photos” is the model. (a) True (b) False
33. 33.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
34. 34.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
35. 35.Which of these is training data? (a) flagging a new email (b) naming a new fruit photo (c) the trained program (d) recorded spoken words
36. 36.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
37. 37.True or false: “old emails marked spam” is training data. (a) False (b) True
38. 38.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
39. 39.True or false: “typing a new spoken word” is the model. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program

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