AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 504 · 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 training data? (a) the learned patterns (b) the trained program (c) typing a new spoken word (d) past weather records
2. 2.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
3. 3.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
4. 4.Which of these is the model? (a) old emails marked spam (b) what training builds (c) labelled fruit photos (d) past weather records
5. 5.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
6. 6.True or false: “naming a new leaf” is a prediction. (a) False (b) True
7. 7.True or false: “recorded spoken words” is training data. (a) True (b) False
8. 8.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
9. 9.True or false: “the trained program” is training data. (a) True (b) False
10. 10.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
11. 11.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
12. 12.True or false: “old emails marked spam” is the model. (a) True (b) False
13. 13.True or false: “labelled fruit photos” is the model. (a) True (b) False
14. 14.True or false: “past weather records” is training data. (a) False (b) True
15. 15.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
16. 16.Which of these is training data? (a) naming a new fruit photo (b) old emails marked spam (c) what training builds (d) the learned patterns
17. 17.True or false: “recorded spoken words” is the model. (a) False (b) True
18. 18.⏩ 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
19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
20. 20.⏩ 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
21. 21.Which of these is the model? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) the learned patterns (d) flagging a new email
22. 22.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
23. 23.Which of these is the model? (a) past weather records (b) labelled fruit photos (c) the trained program (d) 500 labelled leaf photos
24. 24.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
25. 25.Which of these is a prediction? (a) 500 labelled leaf photos (b) old emails marked spam (c) tomorrow’s rain guess (d) labelled fruit photos
26. 26.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
27. 27.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
28. 28.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
29. 29.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
30. 30.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
31. 31.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) flagging a new email (d) recorded spoken words
32. 32.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
33. 33.True or false: “past weather records” is the model. (a) True (b) False
34. 34.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
35. 35.⏩ In machine learning, which comes first: labelled fruit photos or typing a new spoken word? (a) labelled fruit photos (b) typing a new spoken word
36. 36.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
37. 37.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
38. 38.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
39. 39.Which of these is training data? (a) the trained program (b) flagging a new email (c) labelled fruit photos (d) what training builds
40. 40.True or false: “flagging a new email” is training data. (a) False (b) True

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