AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 64 · 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) naming a new leaf (b) tomorrow’s rain guess (c) past weather records (d) flagging a new email
2. 2.Which of these is the model? (a) naming a new leaf (b) the trained program (c) naming a new fruit photo (d) labelled fruit photos
3. 3.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
4. 4.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
5. 5.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
6. 6.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
7. 7.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
8. 8.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
9. 9.Which of these is training data? (a) naming a new fruit photo (b) recorded spoken words (c) what training builds (d) naming a new leaf
10. 10.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
11. 11.True or false: “recorded spoken words” is the model. (a) False (b) True
12. 12.⏩ 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
13. 13.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
14. 14.True or false: “the learned patterns” is training data. (a) True (b) False
15. 15.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
16. 16.Which of these is the model? (a) the learned patterns (b) recorded spoken words (c) past weather records (d) naming a new fruit photo
17. 17.True or false: “old emails marked spam” is training data. (a) True (b) False
18. 18.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
19. 19.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
20. 20.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
21. 21.Which of these is the model? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) typing a new spoken word (d) what training builds
22. 22.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
23. 23.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
24. 24.⏩ 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
25. 25.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
26. 26.⏩ 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
27. 27.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
28. 28.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
29. 29.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
30. 30.True or false: “flagging a new email” is training data. (a) False (b) True
31. 31.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
32. 32.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
33. 33.True or false: “the trained program” is a prediction. (a) True (b) False
34. 34.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
35. 35.True or false: “the learned patterns” is the model. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
37. 37.True or false: “flagging a new email” is a prediction. (a) False (b) True
38. 38.⏩ 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
39. 39.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
40. 40.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction

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