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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 410 · 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 training data? (a) 500 labelled leaf photos (b) typing a new spoken word (c) naming a new fruit photo (d) tomorrow’s rain guess
  2. 2.True or false: “recorded spoken words” is a prediction. (a) True (b) False
  3. 3.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
  4. 4.🔮 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
  5. 5.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  6. 6.Which of these is training data? (a) past weather records (b) typing a new spoken word (c) naming a new fruit photo (d) the learned patterns
  7. 7.True or false: “labelled fruit photos” is training data. (a) False (b) True
  8. 8.⏩ 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
  9. 9.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
  10. 10.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
  11. 11.Which of these is a prediction? (a) what training builds (b) typing a new spoken word (c) old emails marked spam (d) 500 labelled leaf photos
  12. 12.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
  13. 13.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
  14. 14.Which of these is the model? (a) the trained program (b) recorded spoken words (c) typing a new spoken word (d) old emails marked spam
  15. 15.True or false: “what training builds” is training data. (a) False (b) True
  16. 16.True or false: “naming a new fruit photo” is the model. (a) False (b) True
  17. 17.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  18. 18.⏩ In machine learning, which comes first: labelled fruit photos or naming a new fruit photo? (a) labelled fruit photos (b) naming a new fruit photo
  19. 19.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
  20. 20.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
  21. 21.Which of these is the model? (a) flagging a new email (b) labelled fruit photos (c) the learned patterns (d) 500 labelled leaf photos
  22. 22.Which of these is training data? (a) the trained program (b) labelled fruit photos (c) what training builds (d) naming a new leaf
  23. 23.True or false: “typing a new spoken word” is training data. (a) False (b) True
  24. 24.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
  25. 25.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
  26. 26.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
  27. 27.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
  28. 28.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
  29. 29.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
  30. 30.True or false: “what training builds” is the model. (a) True (b) False
  31. 31.True or false: “the trained program” is a prediction. (a) True (b) False
  32. 32.Which of these is a prediction? (a) the trained program (b) what training builds (c) flagging a new email (d) 500 labelled leaf photos
  33. 33.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
  34. 34.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
  35. 35.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  36. 36.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
  37. 37.Which of these is a prediction? (a) the trained program (b) the learned patterns (c) 500 labelled leaf photos (d) naming a new fruit photo
  38. 38.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
  39. 39.True or false: “the learned patterns” is the model. (a) True (b) False
  40. 40.Which of these is a prediction? (a) what training builds (b) the trained program (c) tomorrow’s rain guess (d) 500 labelled leaf photos

Answer key

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

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