AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 371 · 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.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
3. 3.🧪 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
4. 4.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
5. 5.Which of these is training data? (a) flagging a new email (b) naming a new fruit photo (c) 500 labelled leaf photos (d) what training builds
6. 6.True or false: “old emails marked spam” is a prediction. (a) True (b) False
7. 7.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
8. 8.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
9. 9.True or false: “flagging a new email” is a prediction. (a) False (b) True
10. 10.Which of these is training data? (a) the trained program (b) the learned patterns (c) what training builds (d) old emails marked spam
11. 11.True or false: “the trained program” is the model. (a) True (b) False
12. 12.True or false: “flagging a new email” is the model. (a) False (b) True
13. 13.True or false: “past weather records” is the model. (a) False (b) True
14. 14.Which of these is the model? (a) old emails marked spam (b) past weather records (c) the learned patterns (d) 500 labelled leaf photos
15. 15.True or false: “the learned patterns” is the model. (a) False (b) True
16. 16.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
17. 17.⏩ 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
18. 18.Which of these is a prediction? (a) labelled fruit photos (b) naming a new leaf (c) 500 labelled leaf photos (d) what training builds
19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
20. 20.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
21. 21.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
22. 22.True or false: “typing a new spoken word” is the model. (a) False (b) True
23. 23.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
24. 24.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
25. 25.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
26. 26.True or false: “old emails marked spam” is the model. (a) False (b) True
27. 27.⏩ 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
28. 28.Which of these is a prediction? (a) the learned patterns (b) naming a new fruit photo (c) recorded spoken words (d) old emails marked spam
29. 29.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
30. 30.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
31. 31.True or false: “naming a new fruit photo” is training data. (a) True (b) False
32. 32.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
33. 33.True or false: “recorded spoken words” is the model. (a) False (b) True
34. 34.True or false: “what training builds” is training data. (a) True (b) False
35. 35.⏩ 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
36. 36.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
37. 37.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
38. 38.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
39. 39.Which of these is the model? (a) the trained program (b) past weather records (c) typing a new spoken word (d) labelled fruit photos
40. 40.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data

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