AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 56 · 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.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
2. 2.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
3. 3.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
4. 4.⏩ 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
5. 5.True or false: “the trained program” is the model. (a) False (b) True
6. 6.Which of these is the model? (a) labelled fruit photos (b) the learned patterns (c) recorded spoken words (d) past weather records
7. 7.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
8. 8.Which of these is the model? (a) labelled fruit photos (b) naming a new leaf (c) old emails marked spam (d) what training builds
9. 9.True or false: “the learned patterns” is a prediction. (a) True (b) False
10. 10.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
11. 11.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
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.Which of these is the model? (a) labelled fruit photos (b) typing a new spoken word (c) past weather records (d) the trained program
14. 14.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
15. 15.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
16. 16.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
17. 17.True or false: “labelled fruit photos” is the model. (a) True (b) False
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.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
20. 20.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
21. 21.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
22. 22.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
23. 23.True or false: “old emails marked spam” is a prediction. (a) True (b) False
24. 24.Which of these is training data? (a) what training builds (b) the learned patterns (c) the trained program (d) recorded spoken words
25. 25.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
26. 26.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) typing a new spoken word (d) labelled fruit photos
27. 27.Which of these is a prediction? (a) recorded spoken words (b) naming a new leaf (c) 500 labelled leaf photos (d) past weather records
28. 28.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
29. 29.True or false: “flagging a new email” is a prediction. (a) True (b) False
30. 30.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
31. 31.True or false: “labelled fruit photos” is training data. (a) True (b) False
32. 32.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
33. 33.Which of these is a prediction? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) the trained program (d) recorded spoken words
34. 34.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
35. 35.True or false: “what training builds” is training data. (a) True (b) False
36. 36.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
37. 37.True or false: “old emails marked spam” is the model. (a) False (b) True
38. 38.⏩ 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
39. 39.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
40. 40.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction

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