AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 672 · 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.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
2. 2.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
3. 3.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
4. 4.True or false: “naming a new leaf” is the model. (a) False (b) True
5. 5.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
6. 6.Which of these is the model? (a) naming a new fruit photo (b) the learned patterns (c) naming a new leaf (d) typing a new spoken word
7. 7.True or false: “flagging a new email” is training data. (a) True (b) False
8. 8.True or false: “the learned patterns” is the model. (a) False (b) True
9. 9.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
10. 10.True or false: “past weather records” is the model. (a) True (b) False
11. 11.🔮 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
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: “typing a new spoken word” is a prediction. (a) True (b) False
14. 14.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
15. 15.Which of these is the model? (a) what training builds (b) 500 labelled leaf photos (c) recorded spoken words (d) typing a new spoken word
16. 16.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
17. 17.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
18. 18.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
20. 20.Which of these is the model? (a) past weather records (b) the trained program (c) recorded spoken words (d) naming a new fruit photo
21. 21.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
22. 22.True or false: “past weather records” is a prediction. (a) False (b) True
23. 23.True or false: “past weather records” is training data. (a) False (b) True
24. 24.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
25. 25.Which of these is a prediction? (a) past weather records (b) flagging a new email (c) old emails marked spam (d) the trained program
26. 26.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) typing a new spoken word (d) the learned patterns
27. 27.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
28. 28.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) old emails marked spam (d) tomorrow’s rain guess
29. 29.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
30. 30.Which of these is a prediction? (a) naming a new leaf (b) past weather records (c) labelled fruit photos (d) 500 labelled leaf photos
31. 31.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
32. 32.True or false: “labelled fruit photos” is training data. (a) True (b) False
33. 33.True or false: “naming a new leaf” is a prediction. (a) False (b) True
34. 34.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
35. 35.Which of these is training data? (a) naming a new leaf (b) flagging a new email (c) recorded spoken words (d) naming a new fruit photo
36. 36.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
37. 37.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
38. 38.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
39. 39.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
40. 40.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction

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