AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 357 · 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: “past weather records”? (a) a prediction (b) the model (c) training data
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.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
4. 4.True or false: “naming a new leaf” is a prediction. (a) False (b) True
5. 5.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
6. 6.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
7. 7.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
8. 8.Which of these is training data? (a) flagging a new email (b) 500 labelled leaf photos (c) the trained program (d) typing a new spoken word
9. 9.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
10. 10.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
11. 11.Which of these is training data? (a) tomorrow’s rain guess (b) old emails marked spam (c) naming a new leaf (d) flagging a new email
12. 12.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
13. 13.True or false: “past weather records” is the model. (a) False (b) True
14. 14.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
15. 15.True or false: “recorded spoken words” is training data. (a) True (b) False
16. 16.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
17. 17.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
18. 18.True or false: “the trained program” is the model. (a) False (b) True
19. 19.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
20. 20.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
21. 21.Which of these is training data? (a) the trained program (b) past weather records (c) typing a new spoken word (d) what training builds
22. 22.Which of these is the model? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) the learned patterns (d) labelled fruit photos
23. 23.Which of these is training data? (a) tomorrow’s rain guess (b) typing a new spoken word (c) recorded spoken words (d) what training builds
24. 24.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
25. 25.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
26. 26.⏩ In machine learning, which comes first: recorded spoken words or naming a new fruit photo? (a) recorded spoken words (b) naming a new fruit photo
27. 27.Which of these is training data? (a) typing a new spoken word (b) labelled fruit photos (c) naming a new leaf (d) tomorrow’s rain guess
28. 28.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
29. 29.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
30. 30.True or false: “old emails marked spam” is the model. (a) True (b) False
31. 31.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
32. 32.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
33. 33.Which of these is the model? (a) naming a new leaf (b) flagging a new email (c) 500 labelled leaf photos (d) the trained program
34. 34.True or false: “naming a new fruit photo” is training data. (a) True (b) False
35. 35.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
36. 36.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
37. 37.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
38. 38.True or false: “past weather records” is training data. (a) True (b) False
39. 39.True or false: “old emails marked spam” is training data. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program

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