AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 423 · 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.True or false: “past weather records” is training data. (a) True (b) False
2. 2.🔮 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
3. 3.True or false: “flagging a new email” is training data. (a) True (b) False
4. 4.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
5. 5.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
6. 6.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
7. 7.Which of these is training data? (a) the trained program (b) naming a new fruit photo (c) typing a new spoken word (d) recorded spoken words
8. 8.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
9. 9.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
10. 10.True or false: “naming a new fruit photo” is the model. (a) False (b) True
11. 11.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
12. 12.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
13. 13.Which of these is a prediction? (a) the learned patterns (b) what training builds (c) naming a new leaf (d) the trained program
14. 14.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
15. 15.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
16. 16.Which of these is a prediction? (a) past weather records (b) old emails marked spam (c) labelled fruit photos (d) typing a new spoken word
17. 17.True or false: “naming a new leaf” is the model. (a) True (b) False
18. 18.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
19. 19.True or false: “recorded spoken words” is a prediction. (a) True (b) False
20. 20.Which of these is training data? (a) naming a new leaf (b) old emails marked spam (c) naming a new fruit photo (d) what training builds
21. 21.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
22. 22.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
23. 23.Which of these is the model? (a) the learned patterns (b) 500 labelled leaf photos (c) labelled fruit photos (d) naming a new fruit photo
24. 24.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) data, prediction, model (d) model, prediction, data
25. 25.True or false: “what training builds” is the model. (a) True (b) False
26. 26.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
27. 27.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
28. 28.True or false: “flagging a new email” is a prediction. (a) False (b) True
29. 29.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
30. 30.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
31. 31.Which of these is the model? (a) naming a new leaf (b) labelled fruit photos (c) what training builds (d) flagging a new email
32. 32.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
34. 34.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
35. 35.True or false: “labelled fruit photos” is the model. (a) False (b) True
36. 36.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
37. 37.Which of these is training data? (a) tomorrow’s rain guess (b) labelled fruit photos (c) naming a new leaf (d) flagging a new email
38. 38.True or false: “recorded spoken words” is training data. (a) True (b) False
39. 39.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
40. 40.True or false: “old emails marked spam” is the model. (a) False (b) True

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