AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 121 · 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: “recorded spoken words” is training data. (a) True (b) False
2. 2.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
3. 3.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
4. 4.Which of these is a prediction? (a) the learned patterns (b) past weather records (c) labelled fruit photos (d) flagging a new email
5. 5.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
6. 6.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
7. 7.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
8. 8.Which of these is the model? (a) tomorrow’s rain guess (b) recorded spoken words (c) flagging a new email (d) what training builds
9. 9.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
10. 10.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
11. 11.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
12. 12.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
13. 13.True or false: “flagging a new email” is training data. (a) False (b) True
14. 14.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
15. 15.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
16. 16.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
17. 17.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
18. 18.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
19. 19.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
20. 20.Which of these is training data? (a) the trained program (b) what training builds (c) naming a new fruit photo (d) old emails marked spam
21. 21.Which of these is a prediction? (a) the trained program (b) typing a new spoken word (c) the learned patterns (d) recorded spoken words
22. 22.Which of these is training data? (a) flagging a new email (b) recorded spoken words (c) what training builds (d) the trained program
23. 23.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
24. 24.True or false: “naming a new leaf” is a prediction. (a) True (b) False
25. 25.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
26. 26.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a password (d) a label error
27. 27.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
28. 28.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) the learned patterns (d) past weather records
29. 29.True or false: “flagging a new email” is the model. (a) True (b) False
30. 30.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
31. 31.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
32. 32.Which of these is the model? (a) the trained program (b) recorded spoken words (c) naming a new leaf (d) typing a new spoken word
33. 33.Which of these is a prediction? (a) 500 labelled leaf photos (b) old emails marked spam (c) what training builds (d) naming a new leaf
34. 34.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
35. 35.⏩ In machine learning, which comes first: past weather records or naming a new fruit photo? (a) past weather records (b) naming a new fruit photo
36. 36.True or false: “flagging a new email” is a prediction. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
38. 38.True or false: “what training builds” is the model. (a) False (b) True
39. 39.Which of these is the model? (a) labelled fruit photos (b) 500 labelled leaf photos (c) the learned patterns (d) naming a new leaf
40. 40.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True

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