AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 582 · 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: “flagging a new email” is a prediction. (a) False (b) True
2. 2.Which of these is a prediction? (a) the learned patterns (b) 500 labelled leaf photos (c) old emails marked spam (d) naming a new leaf
3. 3.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
4. 4.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
5. 5.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
6. 6.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
7. 7.Which of these is a prediction? (a) the learned patterns (b) tomorrow’s rain guess (c) past weather records (d) old emails marked spam
8. 8.Which of these is training data? (a) 500 labelled leaf photos (b) the learned patterns (c) naming a new leaf (d) typing a new spoken word
9. 9.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word
10. 10.True or false: “naming a new leaf” is a prediction. (a) False (b) True
11. 11.True or false: “what training builds” is the model. (a) False (b) True
12. 12.🔮 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
13. 13.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
14. 14.🧪 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
15. 15.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
16. 16.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
17. 17.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
18. 18.True or false: “labelled fruit photos” is training data. (a) False (b) True
19. 19.True or false: “old emails marked spam” is the model. (a) True (b) False
20. 20.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
21. 21.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
22. 22.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
23. 23.True or false: “the trained program” is a prediction. (a) True (b) False
24. 24.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
25. 25.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
26. 26.True or false: “the learned patterns” is training data. (a) True (b) False
27. 27.True or false: “naming a new fruit photo” is training data. (a) True (b) False
28. 28.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
29. 29.True or false: “naming a new leaf” is the model. (a) True (b) False
30. 30.True or false: “the learned patterns” is a prediction. (a) True (b) False
31. 31.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
32. 32.True or false: “what training builds” is training data. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
34. 34.Which of these is the model? (a) flagging a new email (b) typing a new spoken word (c) the learned patterns (d) naming a new fruit photo
35. 35.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
36. 36.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
37. 37.Which of these is the model? (a) naming a new fruit photo (b) the trained program (c) typing a new spoken word (d) recorded spoken words
38. 38.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
39. 39.True or false: “naming a new fruit photo” is the model. (a) True (b) False
40. 40.True or false: “flagging a new email” is training data. (a) True (b) False

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