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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 524 · 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) labelled fruit photos (b) what training builds (c) recorded spoken words (d) 500 labelled leaf photos
  2. 2.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
  3. 3.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  4. 4.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) past weather records (d) tomorrow’s rain guess
  5. 5.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
  6. 6.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
  7. 7.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
  8. 8.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
  9. 9.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
  10. 10.Which of these is the model? (a) past weather records (b) naming a new fruit photo (c) tomorrow’s rain guess (d) the trained program
  11. 11.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
  12. 12.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
  13. 13.True or false: “typing a new spoken word” is training data. (a) False (b) True
  14. 14.True or false: “naming a new leaf” is a prediction. (a) True (b) False
  15. 15.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
  16. 16.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
  17. 17.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
  18. 18.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
  19. 19.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
  20. 20.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
  21. 21.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
  22. 22.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
  23. 23.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  24. 24.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  25. 25.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
  26. 26.True or false: “what training builds” is the model. (a) True (b) False
  27. 27.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  28. 28.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) naming a new leaf (d) past weather records
  29. 29.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) naming a new leaf (d) recorded spoken words
  30. 30.True or false: “labelled fruit photos” is the model. (a) True (b) False
  31. 31.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
  32. 32.True or false: “recorded spoken words” is the model. (a) False (b) True
  33. 33.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
  34. 34.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
  35. 35.True or false: “past weather records” is training data. (a) True (b) False
  36. 36.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
  37. 37.Which of these is the model? (a) labelled fruit photos (b) flagging a new email (c) past weather records (d) the learned patterns
  38. 38.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
  39. 39.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
  40. 40.True or false: “flagging a new email” is training data. (a) True (b) False

Answer key

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

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