AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 184 · 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: “the learned patterns”? (a) a prediction (b) training data (c) the model
2. 2.Which of these is training data? (a) tomorrow’s rain guess (b) labelled fruit photos (c) the trained program (d) typing a new spoken word
3. 3.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
4. 4.True or false: “labelled fruit photos” is the model. (a) True (b) False
5. 5.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
6. 6.Which of these is the model? (a) tomorrow’s rain guess (b) the trained program (c) recorded spoken words (d) old emails marked spam
7. 7.Which of these is a prediction? (a) the learned patterns (b) the trained program (c) naming a new fruit photo (d) labelled fruit photos
8. 8.True or false: “naming a new leaf” is training data. (a) True (b) False
9. 9.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
10. 10.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
11. 11.True or false: “flagging a new email” is the model. (a) False (b) True
12. 12.Which of these is a prediction? (a) labelled fruit photos (b) the trained program (c) recorded spoken words (d) naming a new leaf
13. 13.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
14. 14.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
15. 15.True or false: “what training builds” is a prediction. (a) True (b) False
16. 16.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
17. 17.True or false: “recorded spoken words” is training data. (a) False (b) True
18. 18.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
19. 19.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
20. 20.True or false: “labelled fruit photos” is training data. (a) True (b) False
21. 21.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
22. 22.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
23. 23.True or false: “naming a new leaf” is the model. (a) True (b) False
24. 24.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
25. 25.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
26. 26.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
27. 27.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
28. 28.⏩ 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
29. 29.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
30. 30.Which of these is training data? (a) the trained program (b) past weather records (c) tomorrow’s rain guess (d) what training builds
31. 31.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
32. 32.True or false: “old emails marked spam” is a prediction. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
34. 34.Which of these is the model? (a) typing a new spoken word (b) 500 labelled leaf photos (c) old emails marked spam (d) what training builds
35. 35.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
36. 36.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
37. 37.True or false: “naming a new fruit photo” is the model. (a) False (b) True
38. 38.True or false: “what training builds” is the model. (a) False (b) True
39. 39.Which of these is the model? (a) tomorrow’s rain guess (b) old emails marked spam (c) typing a new spoken word (d) the learned patterns
40. 40.⏩ 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

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