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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 449 · 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: “the trained program”? (a) training data (b) a prediction (c) the model
  2. 2.Which of these is training data? (a) naming a new fruit photo (b) old emails marked spam (c) typing a new spoken word (d) what training builds
  3. 3.🔮 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
  4. 4.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
  5. 5.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) naming a new leaf (d) past weather records
  6. 6.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
  7. 7.True or false: “the learned patterns” is the model. (a) False (b) True
  8. 8.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) naming a new fruit photo (d) recorded spoken words
  9. 9.True or false: “recorded spoken words” is a prediction. (a) True (b) False
  10. 10.⏩ 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
  11. 11.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
  12. 12.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
  13. 13.Which of these is training data? (a) labelled fruit photos (b) what training builds (c) tomorrow’s rain guess (d) naming a new leaf
  14. 14.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
  15. 15.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
  16. 16.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
  17. 17.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to delete its data (d) to make it slower
  18. 18.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
  19. 19.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
  20. 20.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
  21. 21.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
  22. 22.True or false: “naming a new leaf” is the model. (a) True (b) False
  23. 23.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
  24. 24.Which of these is the model? (a) old emails marked spam (b) what training builds (c) labelled fruit photos (d) tomorrow’s rain guess
  25. 25.True or false: “old emails marked spam” is the model. (a) False (b) True
  26. 26.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
  27. 27.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  28. 28.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
  29. 29.True or false: “what training builds” is the model. (a) True (b) False
  30. 30.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
  31. 31.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
  32. 32.Which of these is training data? (a) what training builds (b) naming a new fruit photo (c) 500 labelled leaf photos (d) tomorrow’s rain guess
  33. 33.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
  34. 34.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
  35. 35.True or false: “the learned patterns” is training data. (a) False (b) True
  36. 36.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  37. 37.True or false: “naming a new fruit photo” is training data. (a) False (b) True
  38. 38.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
  39. 39.True or false: “flagging a new email” is a prediction. (a) False (b) True
  40. 40.True or false: “past weather records” is the model. (a) True (b) False

Answer key

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

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