AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 516 · 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) naming a new fruit photo (b) the learned patterns (c) old emails marked spam (d) naming a new leaf
2. 2.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
3. 3.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
4. 4.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) old emails marked spam (d) naming a new leaf
5. 5.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) naming a new fruit photo (d) past weather records
6. 6.Which of these is a prediction? (a) what training builds (b) old emails marked spam (c) tomorrow’s rain guess (d) 500 labelled leaf photos
7. 7.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
8. 8.True or false: “flagging a new email” is a prediction. (a) True (b) False
9. 9.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
10. 10.True or false: “old emails marked spam” is training data. (a) True (b) False
11. 11.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
12. 12.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) data, prediction, model (d) model, prediction, data
13. 13.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
14. 14.Which of these is training data? (a) naming a new leaf (b) the trained program (c) old emails marked spam (d) flagging a new email
15. 15.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to delete its data (d) to make it slower
16. 16.Which of these is the model? (a) recorded spoken words (b) 500 labelled leaf photos (c) what training builds (d) typing a new spoken word
17. 17.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) past weather records (d) the trained program
18. 18.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
19. 19.True or false: “the learned patterns” is a prediction. (a) False (b) True
20. 20.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
21. 21.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
22. 22.True or false: “what training builds” is training data. (a) True (b) False
23. 23.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
24. 24.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
25. 25.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) naming a new fruit photo (d) recorded spoken words
26. 26.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
28. 28.True or false: “recorded spoken words” is the model. (a) False (b) True
29. 29.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
30. 30.True or false: “naming a new leaf” is the model. (a) False (b) True
31. 31.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
32. 32.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
33. 33.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
34. 34.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
35. 35.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
36. 36.Which of these is training data? (a) tomorrow’s rain guess (b) what training builds (c) the learned patterns (d) labelled fruit photos
37. 37.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
38. 38.True or false: “recorded spoken words” is a prediction. (a) True (b) False
39. 39.True or false: “past weather records” is the model. (a) False (b) True
40. 40.True or false: “flagging a new email” is the model. (a) False (b) True

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