AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 969 · 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 a prediction? (a) tomorrow’s rain guess (b) what training builds (c) labelled fruit photos (d) the trained program
2. 2.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
3. 3.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
4. 4.True or false: “past weather records” is training data. (a) False (b) True
5. 5.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
6. 6.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
7. 7.Which of these is a prediction? (a) past weather records (b) typing a new spoken word (c) the learned patterns (d) the trained program
8. 8.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
9. 9.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
10. 10.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
11. 11.True or false: “recorded spoken words” is training data. (a) True (b) False
12. 12.Which of these is the model? (a) the trained program (b) naming a new leaf (c) recorded spoken words (d) labelled fruit photos
13. 13.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to see if it works (d) to change its name
14. 14.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
15. 15.Which of these is training data? (a) naming a new leaf (b) past weather records (c) flagging a new email (d) typing a new spoken word
16. 16.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
17. 17.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
18. 18.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
19. 19.Which of these is training data? (a) naming a new fruit photo (b) naming a new leaf (c) 500 labelled leaf photos (d) the learned patterns
20. 20.Which of these is the model? (a) typing a new spoken word (b) naming a new leaf (c) recorded spoken words (d) the learned patterns
21. 21.Which of these is a prediction? (a) past weather records (b) the learned patterns (c) naming a new leaf (d) what training builds
22. 22.True or false: “the trained program” is a prediction. (a) True (b) False
23. 23.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) what training builds (d) naming a new fruit photo
24. 24.Which of these is training data? (a) the trained program (b) recorded spoken words (c) typing a new spoken word (d) naming a new fruit photo
25. 25.Which of these is training data? (a) old emails marked spam (b) the learned patterns (c) naming a new fruit photo (d) the trained program
26. 26.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
27. 27.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
28. 28.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
29. 29.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
30. 30.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
31. 31.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
32. 32.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
33. 33.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
34. 34.Which of these is a prediction? (a) past weather records (b) flagging a new email (c) what training builds (d) the trained program
35. 35.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
36. 36.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
37. 37.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
38. 38.True or false: “old emails marked spam” is training data. (a) False (b) True
39. 39.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email

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