AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 47 · 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 training data? (a) typing a new spoken word (b) the learned patterns (c) the trained program (d) 500 labelled leaf photos
2. 2.True or false: “naming a new fruit photo” is training data. (a) True (b) False
3. 3.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
4. 4.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
5. 5.True or false: “past weather records” is training data. (a) False (b) True
6. 6.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
7. 7.Which of these is a prediction? (a) the learned patterns (b) typing a new spoken word (c) recorded spoken words (d) what training builds
8. 8.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
9. 9.Which of these is training data? (a) what training builds (b) the trained program (c) naming a new fruit photo (d) recorded spoken words
10. 10.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
11. 11.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
12. 12.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
13. 13.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
14. 14.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
15. 15.True or false: “typing a new spoken word” is training data. (a) False (b) True
16. 16.Which of these is the model? (a) the trained program (b) naming a new leaf (c) recorded spoken words (d) 500 labelled leaf photos
17. 17.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
18. 18.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
19. 19.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
20. 20.True or false: “the learned patterns” is a prediction. (a) False (b) True
21. 21.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
22. 22.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
23. 23.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
24. 24.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
25. 25.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
26. 26.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
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.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
29. 29.Which of these is training data? (a) tomorrow’s rain guess (b) past weather records (c) typing a new spoken word (d) naming a new leaf
30. 30.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
31. 31.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
32. 32.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
33. 33.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
34. 34.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
35. 35.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
36. 36.⏩ 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
37. 37.Which of these is a prediction? (a) labelled fruit photos (b) naming a new leaf (c) recorded spoken words (d) old emails marked spam
38. 38.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) tomorrow’s rain guess (d) old emails marked spam
39. 39.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
40. 40.Which of these is training data? (a) naming a new fruit photo (b) labelled fruit photos (c) typing a new spoken word (d) what training builds

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