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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 451 · 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) 500 labelled leaf photos (b) old emails marked spam (c) recorded spoken words (d) what training builds
  2. 2.True or false: “the trained program” is the model. (a) True (b) False
  3. 3.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
  4. 4.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
  5. 5.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
  6. 6.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  7. 7.Which of these is a prediction? (a) typing a new spoken word (b) recorded spoken words (c) 500 labelled leaf photos (d) the learned patterns
  8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a password (d) a label error
  9. 9.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
  10. 10.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  11. 11.⏩ 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
  12. 12.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
  13. 13.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
  14. 14.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) recorded spoken words (d) naming a new leaf
  15. 15.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
  16. 16.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) 500 labelled leaf photos (d) flagging a new email
  17. 17.True or false: “what training builds” is the model. (a) False (b) True
  18. 18.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
  19. 19.True or false: “the learned patterns” is the model. (a) True (b) False
  20. 20.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
  21. 21.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  22. 22.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
  23. 23.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
  24. 24.True or false: “naming a new fruit photo” is training data. (a) False (b) True
  25. 25.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
  26. 26.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
  27. 27.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
  28. 28.Which of these is training data? (a) the trained program (b) naming a new fruit photo (c) naming a new leaf (d) labelled fruit photos
  29. 29.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
  30. 30.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
  31. 31.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
  32. 32.Which of these is the model? (a) naming a new fruit photo (b) past weather records (c) tomorrow’s rain guess (d) the learned patterns
  33. 33.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
  34. 34.True or false: “recorded spoken words” is training data. (a) True (b) False
  35. 35.True or false: “flagging a new email” is a prediction. (a) False (b) True
  36. 36.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
  37. 37.⏩ 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
  38. 38.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
  39. 39.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
  40. 40.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model

Answer key

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

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