AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 895 · 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.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
2. 2.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) typing a new spoken word (d) recorded spoken words
3. 3.⏩ 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
4. 4.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
5. 5.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
6. 6.Which of these is training data? (a) past weather records (b) the trained program (c) naming a new leaf (d) the learned patterns
7. 7.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
8. 8.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
9. 9.Which of these is a prediction? (a) past weather records (b) what training builds (c) recorded spoken words (d) typing a new spoken word
10. 10.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
11. 11.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a prediction (d) a password
12. 12.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
13. 13.Which of these is training data? (a) naming a new fruit photo (b) naming a new leaf (c) old emails marked spam (d) the learned patterns
14. 14.True or false: “labelled fruit photos” is training data. (a) False (b) True
15. 15.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
16. 16.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) 500 labelled leaf photos (d) naming a new fruit photo
17. 17.True or false: “old emails marked spam” is training data. (a) True (b) False
18. 18.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
19. 19.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
20. 20.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
21. 21.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
22. 22.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
23. 23.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
24. 24.True or false: “the trained program” is training data. (a) True (b) False
25. 25.True or false: “past weather records” is a prediction. (a) False (b) True
26. 26.Which of these is the model? (a) what training builds (b) past weather records (c) typing a new spoken word (d) naming a new fruit photo
27. 27.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
28. 28.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
29. 29.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) flagging a new email (d) old emails marked spam
30. 30.True or false: “naming a new leaf” is a prediction. (a) False (b) True
31. 31.Which of these is the model? (a) naming a new fruit photo (b) the trained program (c) old emails marked spam (d) past weather records
32. 32.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
33. 33.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) the learned patterns (d) naming a new leaf
34. 34.Which of these is a prediction? (a) tomorrow’s rain guess (b) what training builds (c) past weather records (d) 500 labelled leaf photos
35. 35.Which of these is training data? (a) labelled fruit photos (b) typing a new spoken word (c) naming a new fruit photo (d) the learned patterns
36. 36.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
37. 37.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
38. 38.⏩ In machine learning, which comes first: labelled fruit photos or typing a new spoken word? (a) labelled fruit photos (b) typing a new spoken word
39. 39.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
40. 40.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model

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