AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 153 · 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.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
2. 2.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
3. 3.True or false: “past weather records” is a prediction. (a) False (b) True
4. 4.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) typing a new spoken word (d) 500 labelled leaf photos
5. 5.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
6. 6.Which of these is training data? (a) flagging a new email (b) old emails marked spam (c) the trained program (d) what training builds
7. 7.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
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.Which of these is the model? (a) flagging a new email (b) 500 labelled leaf photos (c) what training builds (d) recorded spoken words
10. 10.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
11. 11.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
12. 12.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
13. 13.Which of these is the model? (a) labelled fruit photos (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) the trained program
14. 14.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to delete its data (d) to see if it works
15. 15.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
16. 16.True or false: “the learned patterns” is training data. (a) False (b) True
17. 17.Which of these is a prediction? (a) the learned patterns (b) tomorrow’s rain guess (c) past weather records (d) the trained program
18. 18.Which of these is training data? (a) tomorrow’s rain guess (b) labelled fruit photos (c) what training builds (d) naming a new leaf
19. 19.Which of these is the model? (a) tomorrow’s rain guess (b) naming a new leaf (c) the learned patterns (d) past weather records
20. 20.True or false: “old emails marked spam” is the model. (a) True (b) False
21. 21.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
22. 22.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
23. 23.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
24. 24.Which of these is training data? (a) 500 labelled leaf photos (b) flagging a new email (c) naming a new leaf (d) the trained program
25. 25.🔮 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
26. 26.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
27. 27.Which of these is training data? (a) typing a new spoken word (b) past weather records (c) the learned patterns (d) what training builds
28. 28.⏩ 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
29. 29.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
30. 30.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
31. 31.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
32. 32.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
33. 33.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
34. 34.True or false: “naming a new fruit photo” is training data. (a) True (b) False
35. 35.Which of these is training data? (a) what training builds (b) recorded spoken words (c) tomorrow’s rain guess (d) flagging a new email
36. 36.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
37. 37.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
38. 38.True or false: “recorded spoken words” is the model. (a) False (b) True
39. 39.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
40. 40.⏩ 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

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