AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 340 · 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 fruit photo”? (a) a prediction (b) the model (c) training data
3. 3.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
4. 4.Which of these is the model? (a) old emails marked spam (b) naming a new leaf (c) tomorrow’s rain guess (d) what training builds
5. 5.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
6. 6.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
7. 7.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
8. 8.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
9. 9.Which of these is a prediction? (a) what training builds (b) old emails marked spam (c) typing a new spoken word (d) the learned patterns
10. 10.True or false: “the trained program” is training data. (a) True (b) False
11. 11.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) tomorrow’s rain guess (d) recorded spoken words
12. 12.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
13. 13.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
14. 14.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
15. 15.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
16. 16.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
17. 17.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
18. 18.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to make it slower (d) to delete its data
19. 19.True or false: “naming a new fruit photo” is the model. (a) True (b) False
20. 20.Which of these is the model? (a) naming a new fruit photo (b) recorded spoken words (c) tomorrow’s rain guess (d) the trained program
21. 21.Which of these is training data? (a) naming a new leaf (b) 500 labelled leaf photos (c) the learned patterns (d) the trained program
22. 22.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
23. 23.⏩ 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
24. 24.Which of these is a prediction? (a) old emails marked spam (b) flagging a new email (c) labelled fruit photos (d) what training builds
25. 25.True or false: “flagging a new email” is training data. (a) True (b) False
26. 26.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
27. 27.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
28. 28.True or false: “naming a new leaf” is training data. (a) True (b) False
29. 29.True or false: “old emails marked spam” is a prediction. (a) True (b) False
30. 30.Which of these is the model? (a) naming a new fruit photo (b) the learned patterns (c) old emails marked spam (d) flagging a new email
31. 31.Which of these is training data? (a) what training builds (b) old emails marked spam (c) the learned patterns (d) the trained program
32. 32.True or false: “past weather records” is a prediction. (a) False (b) True
33. 33.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
34. 34.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
35. 35.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
36. 36.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
37. 37.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
38. 38.Which of these is a prediction? (a) 500 labelled leaf photos (b) old emails marked spam (c) naming a new fruit photo (d) what training builds
39. 39.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
40. 40.True or false: “recorded spoken words” is the model. (a) True (b) False

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