AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 335 · 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: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
2. 2.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
3. 3.Which of these is training data? (a) old emails marked spam (b) naming a new fruit photo (c) what training builds (d) the learned patterns
4. 4.Which of these is a prediction? (a) what training builds (b) old emails marked spam (c) 500 labelled leaf photos (d) naming a new leaf
5. 5.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
6. 6.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
7. 7.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
8. 8.Which of these is the model? (a) what training builds (b) typing a new spoken word (c) naming a new fruit photo (d) tomorrow’s rain guess
9. 9.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
10. 10.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) naming a new fruit photo (d) what training builds
11. 11.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
12. 12.True or false: “recorded spoken words” is training data. (a) True (b) False
13. 13.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
14. 14.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
15. 15.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
16. 16.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
17. 17.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
18. 18.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
19. 19.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
20. 20.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
21. 21.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
22. 22.Which of these is the model? (a) labelled fruit photos (b) tomorrow’s rain guess (c) past weather records (d) the learned patterns
23. 23.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
24. 24.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
25. 25.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
26. 26.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
27. 27.True or false: “naming a new leaf” is training data. (a) True (b) False
28. 28.Which of these is a prediction? (a) what training builds (b) typing a new spoken word (c) 500 labelled leaf photos (d) labelled fruit photos
29. 29.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
30. 30.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
31. 31.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
32. 32.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
33. 33.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
34. 34.True or false: “the trained program” is training data. (a) True (b) False
35. 35.Which of these is training data? (a) the trained program (b) 500 labelled leaf photos (c) naming a new leaf (d) tomorrow’s rain guess
36. 36.True or false: “past weather records” is training data. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
38. 38.True or false: “what training builds” is training data. (a) False (b) True
39. 39.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
40. 40.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model

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