AI Worksheet: Training Data, Model, Prediction

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

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