AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 695 · 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: “what training builds”? (a) training data (b) the model (c) a prediction
2. 2.🔮 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
3. 3.Which of these is training data? (a) recorded spoken words (b) the trained program (c) naming a new fruit photo (d) flagging a new email
4. 4.Which of these is the model? (a) what training builds (b) recorded spoken words (c) 500 labelled leaf photos (d) past weather records
5. 5.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
6. 6.Which of these is the model? (a) the trained program (b) recorded spoken words (c) naming a new leaf (d) past weather records
7. 7.True or false: “recorded spoken words” is the model. (a) True (b) False
8. 8.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
9. 9.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
10. 10.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
11. 11.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
12. 12.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) model, prediction, data (d) prediction, data, model
13. 13.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
14. 14.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
15. 15.Which of these is training data? (a) tomorrow’s rain guess (b) past weather records (c) naming a new fruit photo (d) the learned patterns
16. 16.Which of these is a prediction? (a) past weather records (b) old emails marked spam (c) naming a new leaf (d) 500 labelled leaf photos
17. 17.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
18. 18.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
19. 19.Which of these is a prediction? (a) old emails marked spam (b) labelled fruit photos (c) recorded spoken words (d) flagging a new email
20. 20.True or false: “naming a new leaf” is a prediction. (a) True (b) False
21. 21.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
22. 22.True or false: “what training builds” is the model. (a) True (b) False
23. 23.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
24. 24.True or false: “naming a new leaf” is training data. (a) False (b) True
25. 25.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
26. 26.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
27. 27.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
28. 28.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
29. 29.True or false: “past weather records” is training data. (a) False (b) True
30. 30.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
31. 31.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
32. 32.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
33. 33.True or false: “what training builds” is training data. (a) False (b) True
34. 34.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
35. 35.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
36. 36.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
37. 37.True or false: “old emails marked spam” is the model. (a) False (b) True
38. 38.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
39. 39.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
40. 40.Which of these is training data? (a) the trained program (b) 500 labelled leaf photos (c) flagging a new email (d) typing a new spoken word

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