AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 434 · 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 a prediction. (a) False (b) True
2. 2.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
3. 3.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
4. 4.True or false: “the trained program” is training data. (a) False (b) True
5. 5.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
6. 6.True or false: “old emails marked spam” is the model. (a) False (b) True
7. 7.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
8. 8.Which of these is a prediction? (a) old emails marked spam (b) the trained program (c) tomorrow’s rain guess (d) recorded spoken words
9. 9.True or false: “past weather records” is the model. (a) True (b) False
10. 10.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
11. 11.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
12. 12.Which of these is the model? (a) past weather records (b) the learned patterns (c) naming a new leaf (d) old emails marked spam
13. 13.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
14. 14.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
15. 15.True or false: “the trained program” is a prediction. (a) True (b) False
16. 16.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
17. 17.Which of these is a prediction? (a) typing a new spoken word (b) 500 labelled leaf photos (c) old emails marked spam (d) past weather records
18. 18.🔮 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
19. 19.⏩ 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
20. 20.True or false: “flagging a new email” is a prediction. (a) False (b) True
21. 21.Which of these is a prediction? (a) labelled fruit photos (b) flagging a new email (c) 500 labelled leaf photos (d) what training builds
22. 22.Which of these is a prediction? (a) labelled fruit photos (b) old emails marked spam (c) 500 labelled leaf photos (d) naming a new leaf
23. 23.🧪 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
24. 24.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
25. 25.Which of these is training data? (a) what training builds (b) the trained program (c) naming a new fruit photo (d) 500 labelled leaf photos
26. 26.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
27. 27.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
28. 28.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
29. 29.Which of these is training data? (a) what training builds (b) typing a new spoken word (c) labelled fruit photos (d) flagging a new email
30. 30.True or false: “typing a new spoken word” is training data. (a) False (b) True
31. 31.True or false: “recorded spoken words” is a prediction. (a) True (b) False
32. 32.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
33. 33.⏩ 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
34. 34.True or false: “what training builds” is the model. (a) True (b) False
35. 35.Which of these is the model? (a) naming a new fruit photo (b) old emails marked spam (c) the trained program (d) naming a new leaf
36. 36.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
37. 37.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
38. 38.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
39. 39.⏩ 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
40. 40.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess

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