AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 55 · 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: “the trained program”? (a) the model (b) training data (c) a prediction
2. 2.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
3. 3.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
4. 4.Which of these is a prediction? (a) the learned patterns (b) the trained program (c) 500 labelled leaf photos (d) naming a new fruit photo
5. 5.True or false: “labelled fruit photos” is training data. (a) True (b) False
6. 6.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to delete its data (d) to change its name
7. 7.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
8. 8.True or false: “the trained program” is the model. (a) False (b) True
9. 9.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
10. 10.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
11. 11.True or false: “naming a new leaf” is a prediction. (a) False (b) True
12. 12.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
13. 13.Which of these is training data? (a) naming a new fruit photo (b) labelled fruit photos (c) tomorrow’s rain guess (d) what training builds
14. 14.⏩ 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
15. 15.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
16. 16.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
17. 17.Which of these is the model? (a) labelled fruit photos (b) old emails marked spam (c) 500 labelled leaf photos (d) what training builds
18. 18.True or false: “old emails marked spam” is a prediction. (a) False (b) True
19. 19.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
20. 20.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
21. 21.Which of these is the model? (a) the trained program (b) old emails marked spam (c) naming a new leaf (d) labelled fruit photos
22. 22.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
23. 23.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
24. 24.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
25. 25.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
26. 26.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
27. 27.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
28. 28.Which of these is training data? (a) old emails marked spam (b) naming a new leaf (c) naming a new fruit photo (d) the learned patterns
29. 29.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
30. 30.True or false: “recorded spoken words” is the model. (a) False (b) True
31. 31.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
32. 32.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
33. 33.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
34. 34.True or false: “past weather records” is the model. (a) False (b) True
35. 35.True or false: “the learned patterns” is a prediction. (a) True (b) False
36. 36.Which of these is a prediction? (a) the learned patterns (b) labelled fruit photos (c) tomorrow’s rain guess (d) 500 labelled leaf photos
37. 37.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
38. 38.⏩ 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
39. 39.Which of these is a prediction? (a) flagging a new email (b) old emails marked spam (c) the learned patterns (d) labelled fruit photos
40. 40.True or false: “what training builds” is training data. (a) False (b) True

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