AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 289 · 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) labelled fruit photos (b) naming a new leaf (c) the learned patterns (d) typing a new spoken word
2. 2.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
4. 4.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
5. 5.True or false: “typing a new spoken word” is training data. (a) False (b) True
6. 6.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) labelled fruit photos (d) tomorrow’s rain guess
7. 7.True or false: “recorded spoken words” is training data. (a) False (b) True
8. 8.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
9. 9.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
10. 10.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
11. 11.True or false: “naming a new fruit photo” is training data. (a) False (b) True
12. 12.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
13. 13.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
14. 14.Which of these is training data? (a) naming a new leaf (b) naming a new fruit photo (c) flagging a new email (d) old emails marked spam
15. 15.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
16. 16.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
17. 17.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
18. 18.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
19. 19.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
20. 20.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
21. 21.Which of these is a prediction? (a) naming a new fruit photo (b) past weather records (c) old emails marked spam (d) recorded spoken words
22. 22.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
23. 23.True or false: “flagging a new email” is a prediction. (a) False (b) True
24. 24.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
25. 25.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
26. 26.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
27. 27.⏩ In machine learning, which comes first: labelled fruit photos or typing a new spoken word? (a) labelled fruit photos (b) typing a new spoken word
28. 28.🧪 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
29. 29.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
30. 30.True or false: “past weather records” is training data. (a) True (b) False
31. 31.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
32. 32.Which of these is a prediction? (a) what training builds (b) naming a new leaf (c) labelled fruit photos (d) recorded spoken words
33. 33.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
34. 34.Which of these is the model? (a) past weather records (b) 500 labelled leaf photos (c) old emails marked spam (d) what training builds
35. 35.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
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.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
38. 38.Which of these is training data? (a) what training builds (b) tomorrow’s rain guess (c) the trained program (d) past weather records
39. 39.True or false: “past weather records” is the model. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns

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