AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 855 · 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 training data? (a) recorded spoken words (b) naming a new leaf (c) flagging a new email (d) what training builds
2. 2.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
3. 3.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
4. 4.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
5. 5.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
6. 6.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
7. 7.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
8. 8.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
9. 9.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
10. 10.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
11. 11.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
12. 12.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
13. 13.Which of these is a prediction? (a) past weather records (b) naming a new leaf (c) the trained program (d) the learned patterns
14. 14.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
15. 15.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
16. 16.True or false: “naming a new fruit photo” is the model. (a) True (b) False
17. 17.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
18. 18.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
19. 19.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
20. 20.True or false: “old emails marked spam” is training data. (a) True (b) False
21. 21.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
22. 22.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
23. 23.⏩ 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
24. 24.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
25. 25.Which of these is the model? (a) the trained program (b) naming a new leaf (c) recorded spoken words (d) flagging a new email
26. 26.Which of these is training data? (a) what training builds (b) labelled fruit photos (c) naming a new leaf (d) the trained program
27. 27.True or false: “the trained program” is the model. (a) False (b) True
28. 28.True or false: “naming a new leaf” is a prediction. (a) False (b) True
29. 29.True or false: “the trained program” is a prediction. (a) False (b) True
30. 30.True or false: “recorded spoken words” is the model. (a) True (b) False
31. 31.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
32. 32.Which of these is training data? (a) old emails marked spam (b) the trained program (c) the learned patterns (d) typing a new spoken word
33. 33.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
34. 34.True or false: “past weather records” is training data. (a) True (b) False
35. 35.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
37. 37.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
38. 38.True or false: “what training builds” is training data. (a) False (b) True
39. 39.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
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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