AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 157 · 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: “labelled fruit photos” is the model. (a) False (b) True
2. 2.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
3. 3.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
4. 4.True or false: “the trained program” is training data. (a) False (b) True
5. 5.Which of these is a prediction? (a) naming a new fruit photo (b) what training builds (c) old emails marked spam (d) recorded spoken words
6. 6.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
7. 7.Which of these is training data? (a) the learned patterns (b) what training builds (c) tomorrow’s rain guess (d) past weather records
8. 8.True or false: “recorded spoken words” is training data. (a) True (b) False
9. 9.⏩ 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
10. 10.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
11. 11.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
12. 12.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
13. 13.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
14. 14.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
15. 15.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
16. 16.True or false: “flagging a new email” is training data. (a) True (b) False
17. 17.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
18. 18.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
19. 19.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
20. 20.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
21. 21.⏩ 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
22. 22.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
23. 23.True or false: “typing a new spoken word” is the model. (a) False (b) True
24. 24.Which of these is the model? (a) the trained program (b) recorded spoken words (c) naming a new leaf (d) typing a new spoken word
25. 25.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
26. 26.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
27. 27.Which of these is a prediction? (a) the trained program (b) flagging a new email (c) the learned patterns (d) what training builds
28. 28.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
29. 29.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
30. 30.Which of these is training data? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) typing a new spoken word
31. 31.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
32. 32.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
33. 33.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
34. 34.⏩ 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
35. 35.True or false: “recorded spoken words” is the model. (a) True (b) False
36. 36.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
37. 37.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
38. 38.Which of these is a prediction? (a) naming a new leaf (b) old emails marked spam (c) what training builds (d) the trained program
39. 39.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
40. 40.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data

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