AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 415 · 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 the model? (a) flagging a new email (b) the trained program (c) recorded spoken words (d) tomorrow’s rain guess
2. 2.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
3. 3.True or false: “flagging a new email” is the model. (a) False (b) True
4. 4.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
5. 5.Which of these is training data? (a) the trained program (b) flagging a new email (c) the learned patterns (d) recorded spoken words
6. 6.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
7. 7.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
8. 8.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
9. 9.True or false: “typing a new spoken word” is the model. (a) False (b) True
10. 10.Which of these is training data? (a) typing a new spoken word (b) 500 labelled leaf photos (c) naming a new leaf (d) the learned patterns
11. 11.Which of these is a prediction? (a) naming a new leaf (b) what training builds (c) 500 labelled leaf photos (d) labelled fruit photos
12. 12.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
13. 13.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
14. 14.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
15. 15.Which of these is the model? (a) the learned patterns (b) typing a new spoken word (c) old emails marked spam (d) tomorrow’s rain guess
16. 16.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
17. 17.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
18. 18.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
19. 19.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
20. 20.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
21. 21.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
22. 22.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
23. 23.True or false: “naming a new leaf” is a prediction. (a) True (b) False
24. 24.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
25. 25.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
26. 26.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
27. 27.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
28. 28.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
29. 29.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
30. 30.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
31. 31.⏩ 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
32. 32.True or false: “what training builds” is the model. (a) False (b) True
33. 33.Which of these is training data? (a) labelled fruit photos (b) naming a new fruit photo (c) the trained program (d) what training builds
34. 34.Which of these is training data? (a) tomorrow’s rain guess (b) the trained program (c) what training builds (d) past weather records
35. 35.True or false: “old emails marked spam” is a prediction. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
37. 37.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
38. 38.True or false: “old emails marked spam” is training data. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
40. 40.Which of these is a prediction? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) recorded spoken words (d) old emails marked spam

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