AI Worksheet: Training Data, Model, Prediction

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

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