AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 268 · 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: “naming a new fruit photo” is a prediction. (a) False (b) True
2. 2.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
3. 3.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
4. 4.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
5. 5.True or false: “what training builds” is the model. (a) True (b) False
6. 6.Which of these is a prediction? (a) the trained program (b) what training builds (c) past weather records (d) naming a new fruit photo
7. 7.True or false: “naming a new leaf” is training data. (a) False (b) True
8. 8.True or false: “typing a new spoken word” is training data. (a) False (b) True
9. 9.Which of these is training data? (a) 500 labelled leaf photos (b) what training builds (c) the trained program (d) tomorrow’s rain guess
10. 10.Which of these is the model? (a) flagging a new email (b) 500 labelled leaf photos (c) naming a new fruit photo (d) the learned patterns
11. 11.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
12. 12.True or false: “the learned patterns” is the model. (a) False (b) True
13. 13.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
14. 14.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
15. 15.True or false: “the trained program” is training data. (a) True (b) False
16. 16.True or false: “naming a new leaf” is a prediction. (a) True (b) False
17. 17.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
18. 18.⏩ 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
19. 19.Which of these is training data? (a) the trained program (b) flagging a new email (c) naming a new leaf (d) old emails marked spam
20. 20.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
21. 21.True or false: “flagging a new email” is the model. (a) True (b) False
22. 22.Which of these is training data? (a) labelled fruit photos (b) tomorrow’s rain guess (c) what training builds (d) the learned patterns
23. 23.Which of these is the model? (a) past weather records (b) flagging a new email (c) what training builds (d) naming a new leaf
24. 24.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
25. 25.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
26. 26.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
27. 27.Which of these is the model? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) the trained program (d) labelled fruit photos
28. 28.⏩ 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
29. 29.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
30. 30.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
31. 31.True or false: “labelled fruit photos” is training data. (a) True (b) False
32. 32.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
33. 33.Which of these is training data? (a) recorded spoken words (b) the learned patterns (c) naming a new fruit photo (d) the trained program
34. 34.True or false: “flagging a new email” is training data. (a) False (b) True
35. 35.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
36. 36.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
37. 37.True or false: “what training builds” is training data. (a) True (b) False
38. 38.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
39. 39.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
40. 40.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess

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