AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 953 · 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.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
3. 3.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
4. 4.True or false: “naming a new fruit photo” is the model. (a) True (b) False
5. 5.True or false: “what training builds” is the model. (a) True (b) False
6. 6.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
7. 7.Which of these is the model? (a) naming a new leaf (b) what training builds (c) tomorrow’s rain guess (d) old emails marked spam
8. 8.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
9. 9.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
10. 10.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
11. 11.Which of these is the model? (a) the trained program (b) old emails marked spam (c) 500 labelled leaf photos (d) typing a new spoken word
12. 12.True or false: “recorded spoken words” is a prediction. (a) True (b) False
13. 13.Which of these is training data? (a) the learned patterns (b) recorded spoken words (c) tomorrow’s rain guess (d) what training builds
14. 14.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
15. 15.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
16. 16.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
17. 17.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
18. 18.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
19. 19.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
20. 20.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
21. 21.Which of these is training data? (a) naming a new fruit photo (b) flagging a new email (c) what training builds (d) old emails marked spam
22. 22.Which of these is a prediction? (a) flagging a new email (b) 500 labelled leaf photos (c) the learned patterns (d) what training builds
23. 23.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
24. 24.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
25. 25.True or false: “naming a new fruit photo” is training data. (a) True (b) False
26. 26.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password
27. 27.True or false: “the learned patterns” is a prediction. (a) False (b) True
28. 28.⏩ 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
29. 29.True or false: “past weather records” is the model. (a) True (b) False
30. 30.True or false: “typing a new spoken word” is the model. (a) True (b) False
31. 31.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
32. 32.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
33. 33.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
34. 34.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
35. 35.🧪 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
36. 36.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
37. 37.True or false: “the learned patterns” is training data. (a) True (b) False
38. 38.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) 500 labelled leaf photos (d) the trained program
39. 39.Which of these is the model? (a) the learned patterns (b) flagging a new email (c) naming a new leaf (d) 500 labelled leaf photos
40. 40.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model

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