AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 166 · 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.Which of these is the model? (a) the trained program (b) flagging a new email (c) naming a new fruit photo (d) past weather records
2. 2.True or false: “the learned patterns” is training data. (a) True (b) False
3. 3.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
4. 4.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
5. 5.True or false: “the learned patterns” is the model. (a) True (b) False
6. 6.⏩ 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
7. 7.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
8. 8.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
9. 9.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
10. 10.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
11. 11.True or false: “recorded spoken words” is training data. (a) True (b) False
12. 12.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
13. 13.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
14. 14.⏩ 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
15. 15.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
16. 16.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
17. 17.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
18. 18.True or false: “the trained program” is a prediction. (a) False (b) True
19. 19.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
20. 20.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
21. 21.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
22. 22.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
23. 23.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
24. 24.True or false: “old emails marked spam” is training data. (a) True (b) False
25. 25.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
26. 26.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
27. 27.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
28. 28.⏩ 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
29. 29.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
30. 30.True or false: “naming a new fruit photo” is the model. (a) False (b) True
31. 31.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
32. 32.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
33. 33.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to make it slower (d) to see if it works
34. 34.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
35. 35.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
36. 36.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
37. 37.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
38. 38.True or false: “flagging a new email” is a prediction. (a) False (b) True
39. 39.Which of these is the model? (a) the learned patterns (b) typing a new spoken word (c) old emails marked spam (d) 500 labelled leaf photos
40. 40.True or false: “labelled fruit photos” is the model. (a) True (b) False

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