AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 67 · 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: “old emails marked spam” is a prediction. (a) False (b) True
2. 2.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
3. 3.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
4. 4.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
5. 5.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
6. 6.True or false: “flagging a new email” is the model. (a) False (b) True
7. 7.Which of these is a prediction? (a) flagging a new email (b) labelled fruit photos (c) past weather records (d) the trained program
8. 8.Which of these is the model? (a) naming a new leaf (b) past weather records (c) what training builds (d) recorded spoken words
9. 9.Which of these is training data? (a) past weather records (b) tomorrow’s rain guess (c) naming a new fruit photo (d) flagging a new email
10. 10.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
11. 11.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
12. 12.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
13. 13.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
14. 14.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
15. 15.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
16. 16.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) labelled fruit photos (d) typing a new spoken word
17. 17.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
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.True or false: “old emails marked spam” is training data. (a) False (b) True
20. 20.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
21. 21.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
22. 22.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
23. 23.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
24. 24.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
25. 25.Which of these is the model? (a) old emails marked spam (b) flagging a new email (c) the trained program (d) recorded spoken words
26. 26.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
28. 28.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
29. 29.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
30. 30.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
31. 31.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
32. 32.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) flagging a new email (d) 500 labelled leaf photos
33. 33.True or false: “naming a new leaf” is a prediction. (a) True (b) False
34. 34.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
35. 35.Which of these is the model? (a) typing a new spoken word (b) flagging a new email (c) the learned patterns (d) recorded spoken words
36. 36.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
37. 37.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
38. 38.True or false: “the learned patterns” is training data. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
40. 40.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds

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