AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 218 · 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.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
2. 2.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
3. 3.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) the trained program (d) old emails marked spam
4. 4.Which of these is training data? (a) naming a new leaf (b) the trained program (c) 500 labelled leaf photos (d) the learned patterns
5. 5.True or false: “typing a new spoken word” is training data. (a) False (b) True
6. 6.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
7. 7.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
8. 8.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
9. 9.True or false: “what training builds” is the model. (a) True (b) False
10. 10.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
11. 11.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
12. 12.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
13. 13.True or false: “what training builds” is training data. (a) True (b) False
14. 14.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
15. 15.Which of these is the model? (a) typing a new spoken word (b) recorded spoken words (c) flagging a new email (d) the trained program
16. 16.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
17. 17.Which of these is training data? (a) the learned patterns (b) naming a new fruit photo (c) typing a new spoken word (d) past weather records
18. 18.Which of these is a prediction? (a) what training builds (b) naming a new leaf (c) the trained program (d) old emails marked spam
19. 19.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
20. 20.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
21. 21.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
22. 22.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
23. 23.True or false: “flagging a new email” is training data. (a) False (b) True
24. 24.True or false: “typing a new spoken word” is the model. (a) False (b) True
25. 25.True or false: “labelled fruit photos” is the model. (a) True (b) False
26. 26.Which of these is the model? (a) recorded spoken words (b) the learned patterns (c) old emails marked spam (d) labelled fruit photos
27. 27.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
28. 28.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
29. 29.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
30. 30.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
31. 31.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
32. 32.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
33. 33.True or false: “recorded spoken words” is training data. (a) False (b) True
34. 34.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
35. 35.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
36. 36.Which of these is the model? (a) flagging a new email (b) naming a new leaf (c) recorded spoken words (d) what training builds
37. 37.Which of these is a prediction? (a) old emails marked spam (b) flagging a new email (c) what training builds (d) 500 labelled leaf photos
38. 38.⏩ 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
39. 39.True or false: “labelled fruit photos” is training data. (a) False (b) True
40. 40.True or false: “naming a new leaf” is a prediction. (a) True (b) False

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students