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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 69 · 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.🔮 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
  2. 2.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  3. 3.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
  4. 4.Which of these is training data? (a) naming a new leaf (b) labelled fruit photos (c) what training builds (d) the trained program
  5. 5.🧪 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
  6. 6.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  7. 7.Which of these is the model? (a) labelled fruit photos (b) recorded spoken words (c) the trained program (d) old emails marked spam
  8. 8.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
  9. 9.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
  10. 10.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) typing a new spoken word (d) recorded spoken words
  11. 11.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
  12. 12.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it prints labels (d) it charges up
  13. 13.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
  14. 14.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
  15. 15.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
  16. 16.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
  17. 17.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
  18. 18.True or false: “what training builds” is a prediction. (a) True (b) False
  19. 19.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
  20. 20.True or false: “past weather records” is training data. (a) False (b) True
  21. 21.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
  22. 22.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
  23. 23.Which of these is the model? (a) what training builds (b) recorded spoken words (c) flagging a new email (d) naming a new fruit photo
  24. 24.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
  25. 25.Which of these is the model? (a) past weather records (b) 500 labelled leaf photos (c) naming a new leaf (d) the learned patterns
  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.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
  28. 28.True or false: “flagging a new email” is the model. (a) False (b) True
  29. 29.Which of these is training data? (a) flagging a new email (b) typing a new spoken word (c) tomorrow’s rain guess (d) old emails marked spam
  30. 30.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
  31. 31.True or false: “the trained program” is a prediction. (a) False (b) True
  32. 32.True or false: “the learned patterns” is the model. (a) False (b) True
  33. 33.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
  34. 34.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
  35. 35.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  36. 36.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  37. 37.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
  38. 38.True or false: “old emails marked spam” is a prediction. (a) True (b) False
  39. 39.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
  40. 40.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction

Answer key

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

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