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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 116 · 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) typing a new spoken word (b) tomorrow’s rain guess (c) the learned patterns (d) recorded spoken words
  2. 2.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  3. 3.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
  4. 4.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
  5. 5.Which of these is the model? (a) past weather records (b) the trained program (c) labelled fruit photos (d) typing a new spoken word
  6. 6.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
  7. 7.True or false: “naming a new leaf” is training data. (a) True (b) False
  8. 8.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
  9. 9.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
  10. 10.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
  11. 11.True or false: “recorded spoken words” is a prediction. (a) False (b) True
  12. 12.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) naming a new fruit photo (d) the trained program
  13. 13.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
  14. 14.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
  15. 15.Which of these is training data? (a) recorded spoken words (b) flagging a new email (c) typing a new spoken word (d) the learned patterns
  16. 16.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
  17. 17.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
  18. 18.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
  19. 19.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) the learned patterns (d) naming a new leaf
  20. 20.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
  21. 21.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
  22. 22.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
  23. 23.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
  24. 24.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  25. 25.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
  26. 26.True or false: “the trained program” is training data. (a) True (b) False
  27. 27.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
  28. 28.True or false: “labelled fruit photos” is the model. (a) True (b) False
  29. 29.Which of these is training data? (a) naming a new leaf (b) the trained program (c) labelled fruit photos (d) what training builds
  30. 30.True or false: “naming a new fruit photo” is the model. (a) True (b) False
  31. 31.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
  32. 32.Which of these is training data? (a) the learned patterns (b) what training builds (c) the trained program (d) 500 labelled leaf photos
  33. 33.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
  34. 34.True or false: “the learned patterns” is the model. (a) False (b) True
  35. 35.Which of these is the model? (a) labelled fruit photos (b) naming a new fruit photo (c) 500 labelled leaf photos (d) what training builds
  36. 36.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
  37. 37.True or false: “what training builds” is training data. (a) False (b) True
  38. 38.True or false: “the trained program” is the model. (a) False (b) True
  39. 39.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
  40. 40.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model

Answer key

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

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