AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 368 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
2. 2.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
3. 3.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to delete its data (d) to see if it works
4. 4.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
5. 5.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
6. 6.Which of these is the model? (a) 500 labelled leaf photos (b) what training builds (c) past weather records (d) tomorrow’s rain guess
7. 7.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
8. 8.Which of these is training data? (a) the trained program (b) past weather records (c) naming a new leaf (d) the learned patterns
9. 9.Which of these is training data? (a) naming a new leaf (b) flagging a new email (c) labelled fruit photos (d) the learned patterns
10. 10.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
11. 11.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
12. 12.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
13. 13.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
14. 14.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
15. 15.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
16. 16.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
17. 17.Which of these is the model? (a) past weather records (b) flagging a new email (c) old emails marked spam (d) the learned patterns
18. 18.True or false: “the learned patterns” is a prediction. (a) True (b) False
19. 19.Which of these is a prediction? (a) 500 labelled leaf photos (b) recorded spoken words (c) naming a new fruit photo (d) what training builds
20. 20.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
21. 21.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
22. 22.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
23. 23.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
24. 24.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
25. 25.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
26. 26.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
27. 27.True or false: “what training builds” is training data. (a) False (b) True
28. 28.Which of these is training data? (a) tomorrow’s rain guess (b) recorded spoken words (c) what training builds (d) naming a new leaf
29. 29.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
30. 30.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
31. 31.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
32. 32.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
33. 33.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
34. 34.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
35. 35.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
36. 36.⏩ 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
37. 37.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
38. 38.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
39. 39.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
40. 40.⏩ 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

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