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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 345 · 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.Which of these is the model? (a) old emails marked spam (b) labelled fruit photos (c) past weather records (d) the learned patterns
  2. 2.Which of these is the model? (a) old emails marked spam (b) tomorrow’s rain guess (c) the trained program (d) typing a new spoken word
  3. 3.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) model, prediction, data (d) prediction, data, model
  4. 4.True or false: “naming a new leaf” is training data. (a) False (b) True
  5. 5.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
  6. 6.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
  7. 7.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  8. 8.True or false: “recorded spoken words” is the model. (a) False (b) True
  9. 9.True or false: “flagging a new email” is training data. (a) False (b) True
  10. 10.Which of these is training data? (a) flagging a new email (b) naming a new leaf (c) the learned patterns (d) recorded spoken words
  11. 11.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
  12. 12.⏩ 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
  13. 13.True or false: “past weather records” is training data. (a) False (b) True
  14. 14.True or false: “the trained program” is the model. (a) True (b) False
  15. 15.True or false: “typing a new spoken word” is the model. (a) True (b) False
  16. 16.True or false: “old emails marked spam” is the model. (a) False (b) True
  17. 17.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
  18. 18.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
  19. 19.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
  20. 20.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
  21. 21.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  22. 22.True or false: “old emails marked spam” is training data. (a) True (b) False
  23. 23.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
  24. 24.Which of these is a prediction? (a) typing a new spoken word (b) past weather records (c) recorded spoken words (d) the trained program
  25. 25.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
  26. 26.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
  27. 27.True or false: “the trained program” is a prediction. (a) False (b) True
  28. 28.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
  29. 29.Which of these is training data? (a) tomorrow’s rain guess (b) old emails marked spam (c) naming a new fruit photo (d) typing a new spoken word
  30. 30.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
  31. 31.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
  32. 32.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
  33. 33.True or false: “flagging a new email” is a prediction. (a) True (b) False
  34. 34.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
  35. 35.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
  36. 36.Which of these is training data? (a) what training builds (b) naming a new leaf (c) 500 labelled leaf photos (d) the learned patterns
  37. 37.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  38. 38.Which of these is training data? (a) naming a new leaf (b) typing a new spoken word (c) naming a new fruit photo (d) labelled fruit photos
  39. 39.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
  40. 40.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess

Answer key

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

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