AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 213 · 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 the model? (a) 500 labelled leaf photos (b) naming a new leaf (c) recorded spoken words (d) the trained program
2. 2.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to delete its data (d) to see if it works
3. 3.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
4. 4.Which of these is training data? (a) the trained program (b) what training builds (c) recorded spoken words (d) naming a new leaf
5. 5.Which of these is training data? (a) labelled fruit photos (b) what training builds (c) naming a new leaf (d) typing a new spoken word
6. 6.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it charges up (d) it prints labels
7. 7.🔮 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
8. 8.True or false: “flagging a new email” is the model. (a) False (b) True
9. 9.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
10. 10.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
11. 11.⏩ 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
12. 12.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
13. 13.True or false: “recorded spoken words” is the model. (a) False (b) True
14. 14.Which of these is the model? (a) tomorrow’s rain guess (b) labelled fruit photos (c) recorded spoken words (d) what training builds
15. 15.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
16. 16.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
17. 17.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) old emails marked spam (d) naming a new leaf
18. 18.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
19. 19.Which of these is the model? (a) flagging a new email (b) naming a new fruit photo (c) 500 labelled leaf photos (d) the learned patterns
20. 20.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
21. 21.Which of these is a prediction? (a) tomorrow’s rain guess (b) past weather records (c) the trained program (d) 500 labelled leaf photos
22. 22.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
23. 23.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
24. 24.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
25. 25.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
26. 26.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
28. 28.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
29. 29.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
30. 30.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
31. 31.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
32. 32.True or false: “the trained program” is the model. (a) False (b) True
33. 33.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
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: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
36. 36.Which of these is training data? (a) the learned patterns (b) past weather records (c) naming a new leaf (d) tomorrow’s rain guess
37. 37.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
38. 38.Which of these is training data? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) flagging a new email (d) what training builds
39. 39.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
40. 40.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction

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