AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 595 · 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 a prediction. (a) True (b) False
2. 2.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
3. 3.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
4. 4.Which of these is training data? (a) what training builds (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) naming a new fruit photo
5. 5.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
6. 6.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
7. 7.Which of these is a prediction? (a) what training builds (b) the trained program (c) recorded spoken words (d) tomorrow’s rain guess
8. 8.True or false: “the learned patterns” is the model. (a) True (b) False
9. 9.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
10. 10.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
11. 11.Which of these is the model? (a) what training builds (b) recorded spoken words (c) naming a new fruit photo (d) typing a new spoken word
12. 12.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
13. 13.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
14. 14.Which of these is the model? (a) labelled fruit photos (b) naming a new leaf (c) the learned patterns (d) flagging a new email
15. 15.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
16. 16.True or false: “what training builds” is the model. (a) False (b) True
17. 17.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
18. 18.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
19. 19.Which of these is training data? (a) naming a new leaf (b) old emails marked spam (c) the trained program (d) the learned patterns
20. 20.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
21. 21.True or false: “naming a new leaf” is a prediction. (a) True (b) False
22. 22.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
23. 23.Which of these is a prediction? (a) the trained program (b) what training builds (c) naming a new leaf (d) the learned patterns
24. 24.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
25. 25.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
26. 26.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
27. 27.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
28. 28.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
29. 29.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
30. 30.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
31. 31.True or false: “labelled fruit photos” is the model. (a) False (b) True
32. 32.True or false: “the trained program” is a prediction. (a) False (b) True
33. 33.True or false: “what training builds” is training data. (a) True (b) False
34. 34.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
35. 35.Which of these is a prediction? (a) the trained program (b) flagging a new email (c) what training builds (d) labelled fruit photos
36. 36.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
37. 37.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
38. 38.Which of these is a prediction? (a) recorded spoken words (b) the learned patterns (c) naming a new fruit photo (d) labelled fruit photos
39. 39.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) what training builds (d) labelled fruit photos
40. 40.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data

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