AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 600 · 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.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
2. 2.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
3. 3.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
4. 4.Which of these is the model? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) past weather records (d) the learned patterns
5. 5.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
6. 6.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
7. 7.True or false: “the trained program” is the model. (a) False (b) True
8. 8.True or false: “old emails marked spam” is a prediction. (a) True (b) False
9. 9.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) 500 labelled leaf photos (d) the learned patterns
10. 10.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
11. 11.Which of these is training data? (a) the learned patterns (b) past weather records (c) tomorrow’s rain guess (d) naming a new fruit photo
12. 12.True or false: “recorded spoken words” is training data. (a) False (b) True
13. 13.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) naming a new fruit photo (d) tomorrow’s rain guess
14. 14.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
15. 15.True or false: “what training builds” is training data. (a) True (b) False
16. 16.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
17. 17.True or false: “labelled fruit photos” is training data. (a) True (b) False
18. 18.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) labelled fruit photos (d) flagging a new email
19. 19.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
20. 20.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
21. 21.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
22. 22.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
23. 23.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
24. 24.True or false: “old emails marked spam” is training data. (a) True (b) False
25. 25.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
26. 26.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
27. 27.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
28. 28.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
29. 29.Which of these is a prediction? (a) 500 labelled leaf photos (b) typing a new spoken word (c) the learned patterns (d) the trained program
30. 30.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
31. 31.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
32. 32.Which of these is a prediction? (a) recorded spoken words (b) naming a new fruit photo (c) the trained program (d) past weather records
33. 33.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
34. 34.⏩ 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
35. 35.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
37. 37.Which of these is a prediction? (a) the learned patterns (b) old emails marked spam (c) recorded spoken words (d) tomorrow’s rain guess
38. 38.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
40. 40.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email

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