AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 724 · 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 a prediction? (a) naming a new fruit photo (b) the learned patterns (c) 500 labelled leaf photos (d) labelled fruit photos
2. 2.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
3. 3.Which of these is training data? (a) the learned patterns (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) naming a new fruit photo
4. 4.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
5. 5.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
6. 6.Which of these is training data? (a) what training builds (b) naming a new leaf (c) old emails marked spam (d) the learned patterns
7. 7.True or false: “the trained program” is training data. (a) True (b) False
8. 8.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
9. 9.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
10. 10.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
11. 11.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
12. 12.True or false: “recorded spoken words” is the model. (a) False (b) True
13. 13.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
14. 14.⏩ 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
15. 15.True or false: “typing a new spoken word” is the model. (a) False (b) True
16. 16.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
17. 17.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
18. 18.Which of these is the model? (a) the learned patterns (b) recorded spoken words (c) naming a new leaf (d) past weather records
19. 19.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
20. 20.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
21. 21.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
22. 22.True or false: “recorded spoken words” is training data. (a) True (b) False
23. 23.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
24. 24.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
25. 25.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) flagging a new email (d) recorded spoken words
26. 26.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
27. 27.🔮 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
28. 28.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
29. 29.Which of these is a prediction? (a) 500 labelled leaf photos (b) recorded spoken words (c) past weather records (d) naming a new leaf
30. 30.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
31. 31.True or false: “past weather records” is a prediction. (a) True (b) False
32. 32.⏩ 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
33. 33.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
34. 34.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
35. 35.⏩ 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
36. 36.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
37. 37.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
38. 38.True or false: “old emails marked spam” is a prediction. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
40. 40.Which of these is the model? (a) labelled fruit photos (b) flagging a new email (c) tomorrow’s rain guess (d) what training builds

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