AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 650 · 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.🔮 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
2. 2.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) what training builds (d) typing a new spoken word
3. 3.Which of these is a prediction? (a) what training builds (b) past weather records (c) naming a new fruit photo (d) recorded spoken words
4. 4.Which of these is training data? (a) naming a new leaf (b) recorded spoken words (c) the learned patterns (d) typing a new spoken word
5. 5.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
6. 6.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
7. 7.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
8. 8.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
9. 9.True or false: “the trained program” is a prediction. (a) True (b) False
10. 10.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
11. 11.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
12. 12.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
13. 13.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
14. 14.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
15. 15.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
16. 16.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
17. 17.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
18. 18.True or false: “what training builds” is the model. (a) True (b) False
19. 19.Which of these is a prediction? (a) naming a new leaf (b) the learned patterns (c) the trained program (d) past weather records
20. 20.True or false: “past weather records” is training data. (a) True (b) False
21. 21.Which of these is the model? (a) old emails marked spam (b) tomorrow’s rain guess (c) naming a new leaf (d) what training builds
22. 22.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
23. 23.True or false: “old emails marked spam” is a prediction. (a) False (b) True
24. 24.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
25. 25.Which of these is the model? (a) old emails marked spam (b) flagging a new email (c) naming a new fruit photo (d) the learned patterns
26. 26.True or false: “flagging a new email” is the model. (a) True (b) False
27. 27.Which of these is the model? (a) the trained program (b) old emails marked spam (c) labelled fruit photos (d) recorded spoken words
28. 28.⏩ 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
29. 29.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
30. 30.True or false: “old emails marked spam” is training data. (a) False (b) True
31. 31.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
32. 32.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
33. 33.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
34. 34.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
35. 35.True or false: “naming a new fruit photo” is the model. (a) True (b) False
36. 36.⏩ 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
37. 37.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
38. 38.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
39. 39.Which of these is training data? (a) 500 labelled leaf photos (b) typing a new spoken word (c) what training builds (d) the learned patterns
40. 40.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds

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