AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 851 · 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) training data (b) a prediction (c) the model
2. 2.🧪 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
3. 3.🔮 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
4. 4.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
5. 5.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it charges up (d) it prints labels
6. 6.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
7. 7.Which of these is a prediction? (a) tomorrow’s rain guess (b) past weather records (c) what training builds (d) the learned patterns
8. 8.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
9. 9.True or false: “typing a new spoken word” is the model. (a) True (b) False
10. 10.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
11. 11.⏩ 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
12. 12.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) typing a new spoken word (d) old emails marked spam
13. 13.True or false: “naming a new leaf” is the model. (a) False (b) True
14. 14.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
15. 15.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
16. 16.Which of these is a prediction? (a) 500 labelled leaf photos (b) naming a new leaf (c) the learned patterns (d) old emails marked spam
17. 17.True or false: “old emails marked spam” is the model. (a) False (b) True
18. 18.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
19. 19.Which of these is the model? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) what training builds (d) old emails marked spam
20. 20.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
21. 21.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
22. 22.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
23. 23.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
24. 24.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
25. 25.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
26. 26.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) labelled fruit photos (d) typing a new spoken word
27. 27.True or false: “what training builds” is a prediction. (a) True (b) False
28. 28.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
29. 29.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
30. 30.Which of these is the model? (a) typing a new spoken word (b) the trained program (c) old emails marked spam (d) 500 labelled leaf photos
31. 31.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
32. 32.⏩ 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
33. 33.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
34. 34.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
35. 35.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
36. 36.True or false: “old emails marked spam” is training data. (a) False (b) True
37. 37.True or false: “typing a new spoken word” is training data. (a) True (b) False
38. 38.True or false: “what training builds” is training data. (a) False (b) True
39. 39.Which of these is training data? (a) flagging a new email (b) the trained program (c) tomorrow’s rain guess (d) 500 labelled leaf photos
40. 40.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words

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