AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 510 · 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 the model? (a) the trained program (b) typing a new spoken word (c) naming a new leaf (d) flagging a new email
2. 2.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
3. 3.Which of these is training data? (a) labelled fruit photos (b) the learned patterns (c) tomorrow’s rain guess (d) naming a new fruit photo
4. 4.Which of these is the model? (a) naming a new fruit photo (b) typing a new spoken word (c) tomorrow’s rain guess (d) the learned patterns
5. 5.🔮 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
6. 6.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
7. 7.🧪 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
8. 8.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
9. 9.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
10. 10.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
11. 11.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
12. 12.Which of these is a prediction? (a) past weather records (b) old emails marked spam (c) labelled fruit photos (d) naming a new leaf
13. 13.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
14. 14.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) flagging a new email (d) old emails marked spam
15. 15.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
16. 16.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
17. 17.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
18. 18.True or false: “what training builds” is a prediction. (a) True (b) False
19. 19.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
20. 20.Which of these is training data? (a) the trained program (b) past weather records (c) naming a new fruit photo (d) tomorrow’s rain guess
21. 21.True or false: “recorded spoken words” is a prediction. (a) False (b) True
22. 22.Which of these is training data? (a) 500 labelled leaf photos (b) what training builds (c) naming a new leaf (d) the learned patterns
23. 23.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
24. 24.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
25. 25.Which of these is training data? (a) old emails marked spam (b) naming a new fruit photo (c) the trained program (d) tomorrow’s rain guess
26. 26.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
27. 27.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
28. 28.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
29. 29.True or false: “naming a new leaf” is training data. (a) False (b) True
30. 30.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
31. 31.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
32. 32.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
33. 33.⏩ 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
34. 34.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
35. 35.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
36. 36.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
37. 37.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
38. 38.True or false: “what training builds” is training data. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
40. 40.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos

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