AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 71 · 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.Which of these is training data? (a) old emails marked spam (b) the learned patterns (c) tomorrow’s rain guess (d) what training builds
2. 2.Which of these is the model? (a) flagging a new email (b) tomorrow’s rain guess (c) naming a new leaf (d) the learned patterns
3. 3.Which of these is a prediction? (a) past weather records (b) 500 labelled leaf photos (c) naming a new fruit photo (d) what training builds
4. 4.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
5. 5.True or false: “labelled fruit photos” is the model. (a) True (b) False
6. 6.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
7. 7.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
8. 8.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
9. 9.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
10. 10.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
11. 11.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
12. 12.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
13. 13.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a prediction (d) a password
14. 14.True or false: “flagging a new email” is the model. (a) False (b) True
15. 15.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
16. 16.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
17. 17.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
18. 18.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
19. 19.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
20. 20.⏩ 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
21. 21.Which of these is the model? (a) recorded spoken words (b) naming a new leaf (c) typing a new spoken word (d) the trained program
22. 22.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
23. 23.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
24. 24.True or false: “typing a new spoken word” is training data. (a) True (b) False
25. 25.True or false: “the learned patterns” is a prediction. (a) True (b) False
26. 26.True or false: “flagging a new email” is training data. (a) False (b) True
27. 27.True or false: “typing a new spoken word” is the model. (a) False (b) True
28. 28.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
29. 29.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
30. 30.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
31. 31.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) labelled fruit photos (d) the learned patterns
32. 32.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
33. 33.True or false: “what training builds” is the model. (a) False (b) True
34. 34.Which of these is a prediction? (a) old emails marked spam (b) typing a new spoken word (c) recorded spoken words (d) 500 labelled leaf photos
35. 35.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) past weather records
36. 36.True or false: “recorded spoken words” is a prediction. (a) False (b) True
37. 37.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
38. 38.True or false: “labelled fruit photos” is training data. (a) False (b) True
39. 39.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
40. 40.⏩ 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

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