AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 106 · 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.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
2. 2.Which of these is the model? (a) recorded spoken words (b) naming a new fruit photo (c) the learned patterns (d) 500 labelled leaf photos
3. 3.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
4. 4.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
5. 5.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
6. 6.Which of these is the model? (a) old emails marked spam (b) naming a new fruit photo (c) flagging a new email (d) what training builds
7. 7.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to delete its data (d) to make it slower
8. 8.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
9. 9.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
10. 10.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
11. 11.True or false: “recorded spoken words” is the model. (a) True (b) False
12. 12.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
13. 13.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
14. 14.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
15. 15.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
16. 16.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
17. 17.True or false: “recorded spoken words” is training data. (a) True (b) False
18. 18.True or false: “labelled fruit photos” is training data. (a) True (b) False
19. 19.Which of these is a prediction? (a) 500 labelled leaf photos (b) old emails marked spam (c) what training builds (d) tomorrow’s rain guess
20. 20.⏩ 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
21. 21.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
22. 22.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
23. 23.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) naming a new fruit photo (d) what training builds
24. 24.True or false: “the learned patterns” is training data. (a) False (b) True
25. 25.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
26. 26.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
27. 27.⏩ 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
28. 28.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
29. 29.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
30. 30.True or false: “past weather records” is a prediction. (a) False (b) True
31. 31.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password
32. 32.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
33. 33.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
34. 34.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
35. 35.Which of these is a prediction? (a) the learned patterns (b) the trained program (c) naming a new leaf (d) recorded spoken words
36. 36.True or false: “naming a new leaf” is training data. (a) True (b) False
37. 37.Which of these is the model? (a) the trained program (b) naming a new leaf (c) typing a new spoken word (d) naming a new fruit photo
38. 38.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
39. 39.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
40. 40.True or false: “what training builds” is a prediction. (a) True (b) False

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