AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 174 · 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: “past weather records”? (a) training data (b) a prediction (c) the model
2. 2.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
3. 3.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) training data (d) a label error
5. 5.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
6. 6.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
7. 7.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) typing a new spoken word (d) recorded spoken words
8. 8.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
9. 9.True or false: “naming a new leaf” is training data. (a) True (b) False
10. 10.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
11. 11.Which of these is the model? (a) 500 labelled leaf photos (b) naming a new leaf (c) tomorrow’s rain guess (d) the trained program
12. 12.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
13. 13.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
14. 14.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
15. 15.🧪 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
16. 16.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
17. 17.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
18. 18.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
19. 19.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
20. 20.Which of these is a prediction? (a) flagging a new email (b) the learned patterns (c) past weather records (d) 500 labelled leaf photos
21. 21.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
22. 22.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
23. 23.True or false: “naming a new fruit photo” is training data. (a) False (b) True
24. 24.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
25. 25.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
26. 26.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
27. 27.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
28. 28.True or false: “labelled fruit photos” is training data. (a) True (b) False
29. 29.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word
30. 30.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
31. 31.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
32. 32.Which of these is a prediction? (a) what training builds (b) the learned patterns (c) naming a new fruit photo (d) recorded spoken words
33. 33.Which of these is a prediction? (a) recorded spoken words (b) the learned patterns (c) what training builds (d) naming a new leaf
34. 34.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
35. 35.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) tomorrow’s rain guess (d) the learned patterns
36. 36.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
37. 37.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
38. 38.True or false: “flagging a new email” is a prediction. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
40. 40.True or false: “typing a new spoken word” is the model. (a) False (b) True

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