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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 253 · 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.True or false: “labelled fruit photos” is the model. (a) False (b) True
  2. 2.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
  3. 3.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
  4. 4.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
  5. 5.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
  6. 6.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it prints labels (d) it charges up
  7. 7.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
  8. 8.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
  9. 9.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) recorded spoken words (d) what training builds
  10. 10.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password
  11. 11.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to make it slower (d) to see if it works
  12. 12.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
  13. 13.Which of these is the model? (a) tomorrow’s rain guess (b) what training builds (c) old emails marked spam (d) past weather records
  14. 14.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
  15. 15.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
  16. 16.Which of these is a prediction? (a) the learned patterns (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) past weather records
  17. 17.True or false: “the learned patterns” is the model. (a) True (b) False
  18. 18.⏩ 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
  19. 19.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
  20. 20.True or false: “what training builds” is training data. (a) False (b) True
  21. 21.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
  22. 22.Which of these is training data? (a) what training builds (b) flagging a new email (c) the learned patterns (d) past weather records
  23. 23.Which of these is the model? (a) old emails marked spam (b) naming a new leaf (c) 500 labelled leaf photos (d) the trained program
  24. 24.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
  25. 25.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
  26. 26.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
  27. 27.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
  28. 28.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
  29. 29.Which of these is the model? (a) typing a new spoken word (b) past weather records (c) 500 labelled leaf photos (d) the learned patterns
  30. 30.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
  31. 31.True or false: “flagging a new email” is a prediction. (a) False (b) True
  32. 32.True or false: “flagging a new email” is the model. (a) False (b) True
  33. 33.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
  34. 34.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
  35. 35.⏩ 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
  36. 36.Which of these is a prediction? (a) the learned patterns (b) old emails marked spam (c) labelled fruit photos (d) naming a new fruit photo
  37. 37.True or false: “the trained program” is the model. (a) False (b) True
  38. 38.Which of these is training data? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) naming a new leaf (d) the trained program
  39. 39.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
  40. 40.True or false: “typing a new spoken word” is training data. (a) False (b) True

Answer key

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

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