AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 284 · 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) True (b) False
2. 2.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
3. 3.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
4. 4.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
5. 5.Which of these is the model? (a) labelled fruit photos (b) old emails marked spam (c) typing a new spoken word (d) the learned patterns
6. 6.⏩ 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
7. 7.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
8. 8.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
9. 9.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
10. 10.🔮 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
11. 11.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
12. 12.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
13. 13.Which of these is training data? (a) what training builds (b) 500 labelled leaf photos (c) typing a new spoken word (d) the learned patterns
14. 14.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
15. 15.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
16. 16.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
17. 17.True or false: “past weather records” is the model. (a) False (b) True
18. 18.True or false: “the learned patterns” is the model. (a) False (b) True
19. 19.True or false: “old emails marked spam” is training data. (a) False (b) True
20. 20.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
21. 21.Which of these is a prediction? (a) old emails marked spam (b) the trained program (c) naming a new leaf (d) the learned patterns
22. 22.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
23. 23.⏩ 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
24. 24.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to make it slower (d) to change its name
25. 25.Which of these is training data? (a) naming a new leaf (b) naming a new fruit photo (c) old emails marked spam (d) the trained program
26. 26.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns 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: “flagging a new email”? (a) a prediction (b) training data (c) the model
29. 29.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
30. 30.⏩ 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
31. 31.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
32. 32.True or false: “old emails marked spam” is the model. (a) False (b) True
33. 33.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
34. 34.Which of these is the model? (a) past weather records (b) 500 labelled leaf photos (c) old emails marked spam (d) the trained program
35. 35.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
36. 36.Which of these is training data? (a) what training builds (b) past weather records (c) typing a new spoken word (d) flagging a new email
37. 37.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
38. 38.Which of these is a prediction? (a) the trained program (b) tomorrow’s rain guess (c) what training builds (d) old emails marked spam
39. 39.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
40. 40.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction

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