AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 387 · 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: “what training builds”? (a) the model (b) training data (c) a prediction
2. 2.True or false: “past weather records” is a prediction. (a) True (b) False
3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a prediction (d) a password
4. 4.⏩ 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
5. 5.Which of these is training data? (a) tomorrow’s rain guess (b) old emails marked spam (c) typing a new spoken word (d) what training builds
6. 6.True or false: “the learned patterns” is a prediction. (a) False (b) True
7. 7.Which of these is the model? (a) typing a new spoken word (b) past weather records (c) the trained program (d) flagging a new email
8. 8.True or false: “what training builds” is the model. (a) True (b) False
9. 9.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
10. 10.Which of these is a prediction? (a) tomorrow’s rain guess (b) the learned patterns (c) 500 labelled leaf photos (d) past weather records
11. 11.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
12. 12.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
13. 13.True or false: “past weather records” is training data. (a) True (b) False
14. 14.Which of these is the model? (a) flagging a new email (b) the learned patterns (c) 500 labelled leaf photos (d) old emails marked spam
15. 15.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
16. 16.Which of these is training data? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) the learned patterns (d) tomorrow’s rain guess
17. 17.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
18. 18.True or false: “typing a new spoken word” is training data. (a) False (b) True
19. 19.True or false: “what training builds” is a prediction. (a) False (b) True
20. 20.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
21. 21.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
22. 22.True or false: “the learned patterns” is training data. (a) False (b) True
23. 23.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
24. 24.True or false: “recorded spoken words” is the model. (a) False (b) True
25. 25.True or false: “the trained program” is the model. (a) False (b) True
26. 26.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
27. 27.True or false: “recorded spoken words” is training data. (a) False (b) True
28. 28.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
29. 29.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
30. 30.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
31. 31.Which of these is a prediction? (a) what training builds (b) flagging a new email (c) past weather records (d) the trained program
32. 32.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
33. 33.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
34. 34.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
35. 35.⏩ 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
36. 36.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) 500 labelled leaf photos (d) naming a new fruit photo
37. 37.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
38. 38.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
39. 39.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) old emails marked spam (d) typing a new spoken word
40. 40.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels

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