AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 899 · 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.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
2. 2.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
3. 3.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
4. 4.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
5. 5.Which of these is a prediction? (a) the trained program (b) labelled fruit photos (c) old emails marked spam (d) naming a new fruit photo
6. 6.Which of these is training data? (a) flagging a new email (b) 500 labelled leaf photos (c) naming a new fruit photo (d) naming a new leaf
7. 7.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
8. 8.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
9. 9.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
10. 10.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
11. 11.True or false: “the trained program” is the model. (a) False (b) True
12. 12.True or false: “old emails marked spam” is the model. (a) True (b) False
13. 13.True or false: “typing a new spoken word” is training data. (a) False (b) True
14. 14.True or false: “labelled fruit photos” is training data. (a) True (b) False
15. 15.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
16. 16.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
17. 17.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
18. 18.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a password (d) a label error
19. 19.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
20. 20.Which of these is the model? (a) the learned patterns (b) tomorrow’s rain guess (c) flagging a new email (d) recorded spoken words
21. 21.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) labelled fruit photos (d) what training builds
22. 22.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
23. 23.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
24. 24.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
25. 25.🧪 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
26. 26.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
28. 28.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
29. 29.Which of these is training data? (a) what training builds (b) old emails marked spam (c) the trained program (d) naming a new leaf
30. 30.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
31. 31.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
32. 32.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
33. 33.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
34. 34.True or false: “flagging a new email” is the model. (a) True (b) False
35. 35.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
36. 36.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
37. 37.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
38. 38.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
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: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words

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