AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 914 · 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 a prediction? (a) flagging a new email (b) recorded spoken words (c) old emails marked spam (d) the learned patterns
2. 2.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
3. 3.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
4. 4.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
5. 5.True or false: “the trained program” is a prediction. (a) False (b) True
6. 6.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
7. 7.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
8. 8.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
9. 9.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
10. 10.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
11. 11.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
12. 12.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
13. 13.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
14. 14.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
15. 15.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
16. 16.Which of these is the model? (a) typing a new spoken word (b) recorded spoken words (c) naming a new leaf (d) the trained program
17. 17.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
18. 18.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
19. 19.True or false: “typing a new spoken word” is training data. (a) True (b) False
20. 20.True or false: “old emails marked spam” is a prediction. (a) False (b) True
21. 21.Which of these is training data? (a) typing a new spoken word (b) tomorrow’s rain guess (c) what training builds (d) 500 labelled leaf photos
22. 22.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
23. 23.True or false: “labelled fruit photos” is training data. (a) True (b) False
24. 24.🧪 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
25. 25.Which of these is a prediction? (a) old emails marked spam (b) labelled fruit photos (c) past weather records (d) naming a new leaf
26. 26.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) the trained program (d) past weather records
27. 27.Which of these is a prediction? (a) old emails marked spam (b) typing a new spoken word (c) what training builds (d) labelled fruit photos
28. 28.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
29. 29.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
30. 30.True or false: “old emails marked spam” is the model. (a) True (b) False
31. 31.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
32. 32.Which of these is the model? (a) typing a new spoken word (b) old emails marked spam (c) recorded spoken words (d) the learned patterns
33. 33.True or false: “flagging a new email” is the model. (a) False (b) True
34. 34.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
35. 35.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
36. 36.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
37. 37.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
38. 38.True or false: “naming a new fruit photo” is training data. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
40. 40.Which of these is the model? (a) recorded spoken words (b) old emails marked spam (c) what training builds (d) labelled fruit photos

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