AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 810 · 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.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
3. 3.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
4. 4.True or false: “the learned patterns” is a prediction. (a) True (b) False
5. 5.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) old emails marked spam
6. 6.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
7. 7.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
8. 8.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
9. 9.Which of these is the model? (a) typing a new spoken word (b) old emails marked spam (c) the trained program (d) tomorrow’s rain guess
10. 10.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
11. 11.True or false: “recorded spoken words” is training data. (a) True (b) False
12. 12.True or false: “the trained program” is the model. (a) False (b) True
13. 13.True or false: “old emails marked spam” is the model. (a) False (b) True
14. 14.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
15. 15.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
16. 16.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
17. 17.True or false: “recorded spoken words” is a prediction. (a) True (b) False
18. 18.🔮 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
19. 19.True or false: “the trained program” is training data. (a) True (b) False
20. 20.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
21. 21.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
22. 22.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
23. 23.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
24. 24.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) what training builds (d) typing a new spoken word
25. 25.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
26. 26.Which of these is training data? (a) naming a new fruit photo (b) past weather records (c) the learned patterns (d) typing a new spoken word
27. 27.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
28. 28.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
29. 29.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
30. 30.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
31. 31.Which of these is training data? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) the trained program (d) what training builds
32. 32.True or false: “naming a new fruit photo” is training data. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
34. 34.True or false: “labelled fruit photos” is training data. (a) False (b) True
35. 35.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
36. 36.Which of these is training data? (a) the trained program (b) flagging a new email (c) labelled fruit photos (d) the learned patterns
37. 37.Which of these is a prediction? (a) recorded spoken words (b) old emails marked spam (c) past weather records (d) naming a new leaf
38. 38.True or false: “flagging a new email” is a prediction. (a) False (b) True
39. 39.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
40. 40.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds

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