AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 455 · 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 training data? (a) typing a new spoken word (b) the trained program (c) what training builds (d) 500 labelled leaf photos
2. 2.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
3. 3.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
4. 4.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
5. 5.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
6. 6.Which of these is the model? (a) labelled fruit photos (b) what training builds (c) naming a new fruit photo (d) typing a new spoken word
7. 7.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) training data (d) a label error
9. 9.Which of these is a prediction? (a) tomorrow’s rain guess (b) old emails marked spam (c) recorded spoken words (d) past weather records
10. 10.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
11. 11.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
12. 12.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
13. 13.⏩ 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
14. 14.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
15. 15.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
16. 16.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
17. 17.True or false: “what training builds” is the model. (a) False (b) True
18. 18.⏩ In machine learning, which comes first: past weather records or naming a new fruit photo? (a) past weather records (b) naming a new fruit photo
19. 19.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
20. 20.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
21. 21.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
22. 22.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
23. 23.True or false: “the learned patterns” is the model. (a) True (b) False
24. 24.Which of these is the model? (a) typing a new spoken word (b) the trained program (c) flagging a new email (d) old emails marked spam
25. 25.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
26. 26.True or false: “flagging a new email” is a prediction. (a) True (b) False
27. 27.True or false: “recorded spoken words” is a prediction. (a) True (b) False
28. 28.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
29. 29.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
30. 30.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
31. 31.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
32. 32.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
33. 33.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
34. 34.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
35. 35.Which of these is a prediction? (a) past weather records (b) labelled fruit photos (c) the trained program (d) typing a new spoken word
36. 36.True or false: “the learned patterns” is a prediction. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
38. 38.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
39. 39.⏩ 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
40. 40.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam

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