AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 307 · 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 the model? (a) old emails marked spam (b) labelled fruit photos (c) the learned patterns (d) tomorrow’s rain guess
2. 2.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
3. 3.True or false: “labelled fruit photos” is the model. (a) True (b) False
4. 4.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
5. 5.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
6. 6.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
7. 7.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
8. 8.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
9. 9.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) naming a new leaf (d) recorded spoken words
10. 10.True or false: “the trained program” is the model. (a) True (b) False
11. 11.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
12. 12.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
13. 13.Which of these is the model? (a) the trained program (b) naming a new leaf (c) flagging a new email (d) past weather records
14. 14.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
15. 15.True or false: “the learned patterns” is a prediction. (a) True (b) False
16. 16.True or false: “what training builds” is a prediction. (a) False (b) True
17. 17.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
18. 18.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
19. 19.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
20. 20.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
21. 21.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
22. 22.True or false: “labelled fruit photos” is training data. (a) True (b) False
23. 23.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
24. 24.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) labelled fruit photos (d) typing a new spoken word
25. 25.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
26. 26.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
27. 27.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
28. 28.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
29. 29.Which of these is training data? (a) the learned patterns (b) past weather records (c) flagging a new email (d) the trained program
30. 30.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
31. 31.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
32. 32.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
33. 33.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
34. 34.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
35. 35.Which of these is training data? (a) the trained program (b) what training builds (c) 500 labelled leaf photos (d) naming a new leaf
36. 36.True or false: “naming a new leaf” is a prediction. (a) False (b) True
37. 37.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
38. 38.⏩ 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
39. 39.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
40. 40.True or false: “500 labelled leaf photos” is training data. (a) True (b) False

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