AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 919 · 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.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
3. 3.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
4. 4.Which of these is a prediction? (a) labelled fruit photos (b) old emails marked spam (c) typing a new spoken word (d) what training builds
5. 5.Which of these is the model? (a) old emails marked spam (b) naming a new fruit photo (c) the learned patterns (d) 500 labelled leaf photos
6. 6.True or false: “flagging a new email” is training data. (a) False (b) True
7. 7.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
8. 8.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
9. 9.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
10. 10.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
11. 11.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
12. 12.True or false: “recorded spoken words” is the model. (a) True (b) False
13. 13.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a prediction (d) a password
14. 14.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
15. 15.Which of these is the model? (a) tomorrow’s rain guess (b) labelled fruit photos (c) flagging a new email (d) what training builds
16. 16.Which of these is training data? (a) naming a new leaf (b) the trained program (c) old emails marked spam (d) what training builds
17. 17.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
18. 18.True or false: “old emails marked spam” is training data. (a) False (b) True
19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
20. 20.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
21. 21.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
22. 22.True or false: “labelled fruit photos” is training data. (a) True (b) False
23. 23.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
24. 24.True or false: “naming a new leaf” is a prediction. (a) True (b) False
25. 25.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
26. 26.True or false: “the learned patterns” is the model. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
28. 28.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
29. 29.Which of these is a prediction? (a) labelled fruit photos (b) recorded spoken words (c) the learned patterns (d) flagging a new email
30. 30.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
31. 31.True or false: “flagging a new email” is the model. (a) True (b) False
32. 32.⏩ 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
33. 33.True or false: “what training builds” is training data. (a) True (b) False
34. 34.True or false: “old emails marked spam” is a prediction. (a) True (b) False
35. 35.Which of these is training data? (a) typing a new spoken word (b) labelled fruit photos (c) the trained program (d) the learned patterns
36. 36.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
37. 37.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
38. 38.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
39. 39.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
40. 40.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower

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