AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 168 · 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) training data (b) a password (c) a prediction (d) a label error
2. 2.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) labelled fruit photos (d) tomorrow’s rain guess
3. 3.True or false: “typing a new spoken word” is the model. (a) False (b) True
4. 4.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
5. 5.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
6. 6.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
7. 7.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
8. 8.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
9. 9.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
10. 10.Which of these is the model? (a) past weather records (b) what training builds (c) old emails marked spam (d) tomorrow’s rain guess
11. 11.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
12. 12.True or false: “the learned patterns” is the model. (a) True (b) False
13. 13.True or false: “what training builds” is the model. (a) False (b) True
14. 14.Which of these is the model? (a) naming a new leaf (b) naming a new fruit photo (c) typing a new spoken word (d) the trained program
15. 15.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
16. 16.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
17. 17.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
18. 18.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
19. 19.True or false: “what training builds” is training data. (a) False (b) True
20. 20.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
21. 21.Which of these is training data? (a) tomorrow’s rain guess (b) recorded spoken words (c) typing a new spoken word (d) flagging a new email
22. 22.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
23. 23.True or false: “naming a new leaf” is the model. (a) True (b) False
24. 24.Which of these is training data? (a) the trained program (b) 500 labelled leaf photos (c) naming a new fruit photo (d) typing a new spoken word
25. 25.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
26. 26.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
27. 27.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
28. 28.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
29. 29.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
30. 30.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
31. 31.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
33. 33.True or false: “recorded spoken words” is the model. (a) True (b) False
34. 34.Which of these is the model? (a) tomorrow’s rain guess (b) labelled fruit photos (c) flagging a new email (d) the learned patterns
35. 35.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
36. 36.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
37. 37.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
38. 38.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
40. 40.True or false: “flagging a new email” is a prediction. (a) False (b) True

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