AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 70 · 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) labelled fruit photos (b) the trained program (c) 500 labelled leaf photos (d) naming a new fruit photo
2. 2.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
3. 3.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
4. 4.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
5. 5.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
6. 6.Which of these is the model? (a) what training builds (b) naming a new fruit photo (c) naming a new leaf (d) recorded spoken words
7. 7.True or false: “what training builds” is a prediction. (a) True (b) False
8. 8.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) 500 labelled leaf photos (d) flagging a new email
9. 9.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
10. 10.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
11. 11.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
12. 12.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
13. 13.True or false: “flagging a new email” is training data. (a) True (b) False
14. 14.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
15. 15.True or false: “the learned patterns” is training data. (a) False (b) True
16. 16.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
17. 17.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
18. 18.Which of these is a prediction? (a) typing a new spoken word (b) past weather records (c) the learned patterns (d) old emails marked spam
19. 19.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
20. 20.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
21. 21.True or false: “old emails marked spam” is training data. (a) False (b) True
22. 22.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
23. 23.True or false: “past weather records” is a prediction. (a) True (b) False
24. 24.True or false: “old emails marked spam” is a prediction. (a) False (b) True
25. 25.Which of these is the model? (a) old emails marked spam (b) 500 labelled leaf photos (c) the learned patterns (d) recorded spoken words
26. 26.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
27. 27.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
28. 28.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
29. 29.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
30. 30.True or false: “what training builds” is the model. (a) False (b) True
31. 31.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
32. 32.True or false: “naming a new leaf” is a prediction. (a) False (b) True
33. 33.True or false: “the trained program” is the model. (a) True (b) False
34. 34.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
35. 35.True or false: “labelled fruit photos” is training data. (a) False (b) True
36. 36.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
37. 37.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
38. 38.Which of these is a prediction? (a) labelled fruit photos (b) old emails marked spam (c) flagging a new email (d) what training builds
39. 39.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
40. 40.Which of these is training data? (a) naming a new leaf (b) recorded spoken words (c) naming a new fruit photo (d) the learned patterns

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