AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 351 · 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 prediction (d) a password
2. 2.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
3. 3.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
4. 4.True or false: “labelled fruit photos” is training data. (a) True (b) False
5. 5.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
6. 6.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
7. 7.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
8. 8.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) naming a new fruit photo (d) the learned patterns
9. 9.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
10. 10.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
11. 11.True or false: “old emails marked spam” is training data. (a) True (b) False
12. 12.Which of these is a prediction? (a) labelled fruit photos (b) what training builds (c) the trained program (d) naming a new leaf
13. 13.Which of these is the model? (a) 500 labelled leaf photos (b) naming a new leaf (c) flagging a new email (d) what training builds
14. 14.Which of these is training data? (a) what training builds (b) naming a new leaf (c) old emails marked spam (d) naming a new fruit photo
15. 15.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
16. 16.True or false: “the learned patterns” is a prediction. (a) True (b) False
17. 17.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
18. 18.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
19. 19.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
20. 20.True or false: “what training builds” is the model. (a) False (b) True
21. 21.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
22. 22.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
23. 23.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
24. 24.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
25. 25.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
26. 26.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
27. 27.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
28. 28.Which of these is training data? (a) flagging a new email (b) naming a new leaf (c) recorded spoken words (d) naming a new fruit photo
29. 29.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
30. 30.True or false: “past weather records” is training data. (a) False (b) True
31. 31.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
32. 32.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
33. 33.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
34. 34.True or false: “what training builds” is training data. (a) False (b) True
35. 35.True or false: “labelled fruit photos” is the model. (a) True (b) False
36. 36.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
37. 37.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
38. 38.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
39. 39.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
40. 40.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns

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