AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 207 · 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) training data (b) a prediction (c) the model
2. 2.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
3. 3.Which of these is a prediction? (a) the learned patterns (b) old emails marked spam (c) typing a new spoken word (d) past weather records
4. 4.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
5. 5.True or false: “old emails marked spam” is a prediction. (a) False (b) True
6. 6.True or false: “the learned patterns” is the model. (a) True (b) False
7. 7.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
9. 9.True or false: “old emails marked spam” is training data. (a) True (b) False
10. 10.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
11. 11.Which of these is the model? (a) flagging a new email (b) 500 labelled leaf photos (c) naming a new leaf (d) the learned patterns
12. 12.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
13. 13.True or false: “naming a new fruit photo” is the model. (a) True (b) False
14. 14.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
15. 15.Which of these is a prediction? (a) naming a new leaf (b) labelled fruit photos (c) 500 labelled leaf photos (d) the learned patterns
16. 16.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
17. 17.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
18. 18.Which of these is the model? (a) old emails marked spam (b) flagging a new email (c) the trained program (d) naming a new fruit photo
19. 19.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
20. 20.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
21. 21.Which of these is a prediction? (a) what training builds (b) past weather records (c) flagging a new email (d) labelled fruit photos
22. 22.Which of these is training data? (a) old emails marked spam (b) tomorrow’s rain guess (c) the trained program (d) typing a new spoken word
23. 23.True or false: “the learned patterns” is a prediction. (a) True (b) False
24. 24.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
25. 25.⏩ 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
26. 26.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
27. 27.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
28. 28.⏩ 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
29. 29.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to make it slower (d) to change its name
30. 30.True or false: “labelled fruit photos” is training data. (a) True (b) False
31. 31.True or false: “naming a new leaf” is the model. (a) True (b) False
32. 32.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
33. 33.⏩ 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
34. 34.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
35. 35.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
36. 36.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
37. 37.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
38. 38.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
39. 39.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
40. 40.Which of these is the model? (a) labelled fruit photos (b) 500 labelled leaf photos (c) what training builds (d) recorded spoken words

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