AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 236 · 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: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
2. 2.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
3. 3.True or false: “the learned patterns” is the model. (a) True (b) False
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a prediction (d) a password
5. 5.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
6. 6.Which of these is training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) recorded spoken words (d) the learned patterns
7. 7.True or false: “recorded spoken words” is a prediction. (a) True (b) False
8. 8.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
9. 9.Which of these is the model? (a) naming a new fruit photo (b) flagging a new email (c) the trained program (d) labelled fruit photos
10. 10.True or false: “naming a new leaf” is a prediction. (a) True (b) False
11. 11.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
12. 12.True or false: “naming a new leaf” is training data. (a) False (b) True
13. 13.True or false: “flagging a new email” is a prediction. (a) True (b) False
14. 14.Which of these is the model? (a) naming a new fruit photo (b) recorded spoken words (c) flagging a new email (d) what training builds
15. 15.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
16. 16.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
17. 17.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
18. 18.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
19. 19.True or false: “recorded spoken words” is training data. (a) False (b) True
20. 20.Which of these is training data? (a) tomorrow’s rain guess (b) the trained program (c) old emails marked spam (d) flagging a new email
21. 21.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
22. 22.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
23. 23.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
24. 24.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
25. 25.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
26. 26.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
27. 27.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
28. 28.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
29. 29.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
30. 30.Which of these is training data? (a) flagging a new email (b) the trained program (c) past weather records (d) what training builds
31. 31.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
33. 33.True or false: “the learned patterns” is a prediction. (a) True (b) False
34. 34.Which of these is training data? (a) 500 labelled leaf photos (b) the trained program (c) what training builds (d) naming a new leaf
35. 35.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
36. 36.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
37. 37.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
38. 38.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to delete its data (d) to make it slower
39. 39.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
40. 40.True or false: “naming a new leaf” is the model. (a) False (b) True

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