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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 334 · 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: “the trained program” is a prediction. (a) False (b) True
  2. 2.Which of these is the model? (a) naming a new fruit photo (b) past weather records (c) old emails marked spam (d) the learned patterns
  3. 3.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
  4. 4.True or false: “old emails marked spam” is the model. (a) False (b) True
  5. 5.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
  6. 6.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
  7. 7.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
  8. 8.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
  9. 9.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
  10. 10.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
  11. 11.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
  12. 12.Which of these is a prediction? (a) labelled fruit photos (b) typing a new spoken word (c) 500 labelled leaf photos (d) the trained program
  13. 13.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
  14. 14.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
  15. 15.True or false: “the trained program” is training data. (a) False (b) True
  16. 16.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  17. 17.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  18. 18.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
  19. 19.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
  20. 20.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
  21. 21.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
  22. 22.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
  23. 23.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  24. 24.True or false: “past weather records” is a prediction. (a) True (b) False
  25. 25.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
  26. 26.⏩ 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
  27. 27.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
  28. 28.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
  29. 29.Which of these is training data? (a) naming a new leaf (b) recorded spoken words (c) the learned patterns (d) flagging a new email
  30. 30.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
  31. 31.Which of these is the model? (a) 500 labelled leaf photos (b) past weather records (c) recorded spoken words (d) what training builds
  32. 32.True or false: “what training builds” is training data. (a) True (b) False
  33. 33.⏩ 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
  34. 34.🧪 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
  35. 35.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
  36. 36.Which of these is the model? (a) labelled fruit photos (b) the trained program (c) past weather records (d) naming a new fruit photo
  37. 37.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
  38. 38.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
  39. 39.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
  40. 40.Which of these is training data? (a) typing a new spoken word (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) what training builds

Answer key

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

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