AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 606 · 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 training data? (a) what training builds (b) naming a new fruit photo (c) flagging a new email (d) old emails marked spam
2. 2.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
3. 3.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
4. 4.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
5. 5.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
6. 6.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
7. 7.Which of these is training data? (a) naming a new fruit photo (b) the trained program (c) 500 labelled leaf photos (d) typing a new spoken word
8. 8.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
9. 9.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
10. 10.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
11. 11.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
12. 12.Which of these is the model? (a) labelled fruit photos (b) recorded spoken words (c) the trained program (d) typing a new spoken word
13. 13.Which of these is a prediction? (a) the learned patterns (b) labelled fruit photos (c) typing a new spoken word (d) old emails marked spam
14. 14.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
15. 15.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
16. 16.Which of these is training data? (a) past weather records (b) typing a new spoken word (c) the trained program (d) flagging a new email
17. 17.⏩ 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
18. 18.Which of these is a prediction? (a) naming a new fruit photo (b) past weather records (c) labelled fruit photos (d) the trained program
19. 19.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
20. 20.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
21. 21.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
22. 22.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
23. 23.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
24. 24.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) naming a new leaf (d) recorded spoken words
25. 25.True or false: “recorded spoken words” is the model. (a) True (b) False
26. 26.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
27. 27.True or false: “old emails marked spam” is a prediction. (a) False (b) True
28. 28.Which of these is a prediction? (a) recorded spoken words (b) flagging a new email (c) what training builds (d) the learned patterns
29. 29.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
30. 30.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
31. 31.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
32. 32.True or false: “naming a new leaf” is a prediction. (a) False (b) True
33. 33.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) tomorrow’s rain guess (d) past weather records
34. 34.⏩ 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
35. 35.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
36. 36.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
37. 37.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
38. 38.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
39. 39.⏩ 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
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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