AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 956 · 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: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
2. 2.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
3. 3.Which of these is training data? (a) typing a new spoken word (b) the learned patterns (c) the trained program (d) 500 labelled leaf photos
4. 4.Which of these is a prediction? (a) naming a new leaf (b) past weather records (c) labelled fruit photos (d) what training builds
5. 5.Which of these is a prediction? (a) 500 labelled leaf photos (b) old emails marked spam (c) recorded spoken words (d) naming a new fruit photo
6. 6.True or false: “flagging a new email” is training data. (a) True (b) False
7. 7.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
8. 8.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
9. 9.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) recorded spoken words (d) typing a new spoken word
10. 10.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
11. 11.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
12. 12.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
13. 13.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
14. 14.Which of these is a prediction? (a) what training builds (b) flagging a new email (c) past weather records (d) the trained program
15. 15.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
16. 16.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
17. 17.Which of these is a prediction? (a) tomorrow’s rain guess (b) the trained program (c) what training builds (d) old emails marked spam
18. 18.Which of these is training data? (a) what training builds (b) flagging a new email (c) recorded spoken words (d) naming a new fruit photo
19. 19.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to change its name (d) to make it slower
20. 20.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
21. 21.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
22. 22.Which of these is the model? (a) the trained program (b) 500 labelled leaf photos (c) flagging a new email (d) recorded spoken words
23. 23.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
24. 24.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
25. 25.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
26. 26.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
27. 27.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
28. 28.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
29. 29.True or false: “what training builds” is the model. (a) True (b) False
30. 30.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
31. 31.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
32. 32.True or false: “typing a new spoken word” is training data. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
34. 34.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
35. 35.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
36. 36.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
37. 37.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
38. 38.⏩ 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
39. 39.Which of these is the model? (a) labelled fruit photos (b) past weather records (c) old emails marked spam (d) the learned patterns
40. 40.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email

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