AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 74 · 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) a label error (b) a prediction (c) a password (d) training data
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: “what training builds”? (a) the model (b) training data (c) a prediction
4. 4.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
5. 5.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
6. 6.True or false: “recorded spoken words” is the model. (a) True (b) False
7. 7.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
8. 8.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
9. 9.Which of these is training data? (a) tomorrow’s rain guess (b) the trained program (c) flagging a new email (d) past weather records
10. 10.Which of these is training data? (a) flagging a new email (b) naming a new leaf (c) naming a new fruit photo (d) 500 labelled leaf photos
11. 11.True or false: “typing a new spoken word” is the model. (a) True (b) False
12. 12.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
13. 13.Which of these is training data? (a) the learned patterns (b) what training builds (c) typing a new spoken word (d) labelled fruit photos
14. 14.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
15. 15.Which of these is the model? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) the learned patterns (d) flagging a new email
16. 16.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
17. 17.Which of these is a prediction? (a) past weather records (b) the learned patterns (c) naming a new fruit photo (d) old emails marked spam
18. 18.Which of these is a prediction? (a) typing a new spoken word (b) 500 labelled leaf photos (c) labelled fruit photos (d) recorded spoken words
19. 19.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
20. 20.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
21. 21.Which of these is training data? (a) recorded spoken words (b) the learned patterns (c) typing a new spoken word (d) flagging a new email
22. 22.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
23. 23.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
24. 24.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
25. 25.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
26. 26.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
27. 27.True or false: “what training builds” is the model. (a) False (b) True
28. 28.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
29. 29.True or false: “old emails marked spam” is the model. (a) False (b) True
30. 30.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
31. 31.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
32. 32.Which of these is a prediction? (a) recorded spoken words (b) flagging a new email (c) what training builds (d) 500 labelled leaf photos
33. 33.Which of these is the model? (a) naming a new leaf (b) past weather records (c) recorded spoken words (d) what training builds
34. 34.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
35. 35.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
37. 37.True or false: “naming a new leaf” is the model. (a) False (b) True
38. 38.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
40. 40.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds

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