AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 421 · 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.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
2. 2.Which of these is training data? (a) the trained program (b) labelled fruit photos (c) tomorrow’s rain guess (d) typing a new spoken word
3. 3.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
4. 4.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
5. 5.Which of these is the model? (a) what training builds (b) naming a new leaf (c) old emails marked spam (d) labelled fruit photos
6. 6.Which of these is the model? (a) labelled fruit photos (b) past weather records (c) the learned patterns (d) tomorrow’s rain guess
7. 7.True or false: “old emails marked spam” is a prediction. (a) False (b) True
8. 8.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
9. 9.True or false: “naming a new leaf” is a prediction. (a) True (b) False
10. 10.True or false: “labelled fruit photos” is training data. (a) True (b) False
11. 11.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
12. 12.True or false: “naming a new fruit photo” is the model. (a) True (b) False
13. 13.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
14. 14.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
15. 15.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
16. 16.True or false: “what training builds” is the model. (a) False (b) True
17. 17.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
18. 18.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
20. 20.True or false: “the learned patterns” is the model. (a) True (b) False
21. 21.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
22. 22.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
23. 23.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
24. 24.True or false: “recorded spoken words” is the model. (a) False (b) True
25. 25.Which of these is training data? (a) naming a new fruit photo (b) naming a new leaf (c) tomorrow’s rain guess (d) past weather records
26. 26.Which of these is training data? (a) the learned patterns (b) naming a new fruit photo (c) old emails marked spam (d) what training builds
27. 27.Which of these is a prediction? (a) the learned patterns (b) naming a new leaf (c) what training builds (d) the trained program
28. 28.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) 500 labelled leaf photos (d) the trained program
29. 29.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
30. 30.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
31. 31.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
32. 32.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
33. 33.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
34. 34.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
35. 35.True or false: “past weather records” is training data. (a) True (b) False
36. 36.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to make it slower (d) to delete its data
37. 37.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
38. 38.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
39. 39.Which of these is training data? (a) what training builds (b) the learned patterns (c) recorded spoken words (d) flagging a new email
40. 40.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf

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