AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 955 · 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.True or false: “recorded spoken words” is the model. (a) True (b) False
2. 2.Which of these is a prediction? (a) the learned patterns (b) naming a new fruit photo (c) old emails marked spam (d) 500 labelled leaf photos
3. 3.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
4. 4.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
5. 5.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
6. 6.Which of these is the model? (a) naming a new leaf (b) old emails marked spam (c) what training builds (d) flagging a new email
7. 7.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
8. 8.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
9. 9.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
10. 10.Which of these is the model? (a) 500 labelled leaf photos (b) the learned patterns (c) recorded spoken words (d) naming a new fruit photo
11. 11.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) naming a new leaf (d) what training builds
12. 12.True or false: “the trained program” is the model. (a) False (b) True
13. 13.⏩ 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
14. 14.True or false: “the learned patterns” is a prediction. (a) True (b) False
15. 15.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
16. 16.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
17. 17.True or false: “what training builds” is the model. (a) False (b) True
18. 18.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
19. 19.Which of these is the model? (a) flagging a new email (b) recorded spoken words (c) the trained program (d) old emails marked spam
20. 20.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
21. 21.Which of these is training data? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) typing a new spoken word (d) what training builds
22. 22.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
23. 23.Which of these is training data? (a) old emails marked spam (b) what training builds (c) flagging a new email (d) naming a new leaf
24. 24.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
25. 25.True or false: “old emails marked spam” is training data. (a) True (b) False
26. 26.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
27. 27.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
28. 28.Which of these is training data? (a) flagging a new email (b) typing a new spoken word (c) tomorrow’s rain guess (d) past weather records
29. 29.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
30. 30.True or false: “what training builds” is a prediction. (a) False (b) True
31. 31.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
32. 32.True or false: “flagging a new email” is a prediction. (a) False (b) True
33. 33.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) typing a new spoken word (d) old emails marked spam
34. 34.⏩ 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
35. 35.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
36. 36.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
37. 37.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
38. 38.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
39. 39.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
40. 40.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds

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