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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 847 · 40 questions
TalentJR

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.

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

Answer key

  1. training data
  2. True
  3. it learns patterns
  4. to see if it works
  5. what training builds
  6. the model
  7. the model
  8. True
  9. True
  10. typing a new spoken word
  11. training data
  12. training data
  13. tomorrow’s rain guess
  14. True
  15. False
  16. False
  17. the learned patterns
  18. a prediction
  19. 500 labelled leaf photos
  20. data, model, prediction
  21. True
  22. what training builds
  23. past weather records
  24. what training builds
  25. old emails marked spam
  26. what training builds
  27. labelled fruit photos
  28. past weather records
  29. training data
  30. the model
  31. a prediction
  32. labelled fruit photos
  33. a prediction
  34. the learned patterns
  35. the trained program
  36. naming a new leaf
  37. 500 labelled leaf photos
  38. False
  39. training data
  40. recorded spoken words

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