AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 68 · 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.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
2. 2.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
3. 3.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
4. 4.Which of these is a prediction? (a) the learned patterns (b) old emails marked spam (c) flagging a new email (d) recorded spoken words
5. 5.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
6. 6.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
7. 7.True or false: “recorded spoken words” is training data. (a) True (b) False
8. 8.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
9. 9.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
10. 10.True or false: “the trained program” is the model. (a) False (b) True
11. 11.Which of these is training data? (a) what training builds (b) the learned patterns (c) labelled fruit photos (d) flagging a new email
12. 12.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
13. 13.Which of these is training data? (a) typing a new spoken word (b) recorded spoken words (c) what training builds (d) naming a new fruit photo
14. 14.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
15. 15.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
16. 16.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
17. 17.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
18. 18.Which of these is training data? (a) naming a new fruit photo (b) old emails marked spam (c) naming a new leaf (d) typing a new spoken word
19. 19.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
20. 20.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
21. 21.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
22. 22.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
23. 23.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
24. 24.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
25. 25.True or false: “naming a new leaf” is a prediction. (a) True (b) False
26. 26.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
27. 27.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
28. 28.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
29. 29.Which of these is a prediction? (a) labelled fruit photos (b) 500 labelled leaf photos (c) naming a new leaf (d) the trained program
30. 30.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a prediction (d) a label error
31. 31.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
32. 32.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
33. 33.True or false: “recorded spoken words” is the model. (a) False (b) True
34. 34.True or false: “the trained program” is a prediction. (a) True (b) False
35. 35.Which of these is the model? (a) typing a new spoken word (b) tomorrow’s rain guess (c) past weather records (d) the trained program
36. 36.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
37. 37.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
38. 38.Which of these is a prediction? (a) labelled fruit photos (b) recorded spoken words (c) what training builds (d) typing a new spoken word
39. 39.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
40. 40.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo

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