AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 49 · 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: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
2. 2.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
3. 3.True or false: “what training builds” is a prediction. (a) False (b) True
4. 4.Which of these is training data? (a) past weather records (b) what training builds (c) naming a new leaf (d) the trained program
5. 5.True or false: “old emails marked spam” is a prediction. (a) False (b) True
6. 6.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
7. 7.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
8. 8.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
9. 9.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
10. 10.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
11. 11.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
12. 12.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
13. 13.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
14. 14.Which of these is training data? (a) naming a new leaf (b) what training builds (c) 500 labelled leaf photos (d) the trained program
15. 15.True or false: “what training builds” is training data. (a) False (b) True
16. 16.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
17. 17.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
18. 18.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
19. 19.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
20. 20.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to see if it works (d) to change its name
21. 21.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
22. 22.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
23. 23.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
24. 24.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
25. 25.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) old emails marked spam (d) flagging a new email
26. 26.True or false: “the learned patterns” is training data. (a) True (b) False
27. 27.Which of these is training data? (a) recorded spoken words (b) flagging a new email (c) naming a new fruit photo (d) tomorrow’s rain guess
28. 28.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
29. 29.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
30. 30.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
31. 31.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) labelled fruit photos (d) naming a new leaf
32. 32.Which of these is the model? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) naming a new fruit photo (d) what training builds
33. 33.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
34. 34.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
35. 35.True or false: “labelled fruit photos” is the model. (a) True (b) False
36. 36.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
37. 37.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
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) flagging a new email (b) the trained program (c) labelled fruit photos (d) 500 labelled leaf photos
40. 40.Which of these is a prediction? (a) labelled fruit photos (b) naming a new fruit photo (c) 500 labelled leaf photos (d) old emails marked spam

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