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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 936 · 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.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
  2. 2.Which of these is the model? (a) flagging a new email (b) recorded spoken words (c) what training builds (d) naming a new leaf
  3. 3.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
  4. 4.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
  5. 5.True or false: “the learned patterns” is the model. (a) False (b) True
  6. 6.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
  7. 7.Which of these is the model? (a) past weather records (b) the trained program (c) flagging a new email (d) naming a new fruit photo
  8. 8.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
  9. 9.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
  10. 10.Which of these is training data? (a) what training builds (b) labelled fruit photos (c) the learned patterns (d) the trained program
  11. 11.Which of these is a prediction? (a) the trained program (b) past weather records (c) tomorrow’s rain guess (d) 500 labelled leaf photos
  12. 12.Which of these is a prediction? (a) naming a new fruit photo (b) the learned patterns (c) the trained program (d) past weather records
  13. 13.⏩ 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
  14. 14.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
  15. 15.True or false: “what training builds” is training data. (a) False (b) True
  16. 16.🧪 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
  17. 17.True or false: “flagging a new email” is the model. (a) True (b) False
  18. 18.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
  19. 19.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
  20. 20.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
  21. 21.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
  22. 22.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
  23. 23.Which of these is training data? (a) flagging a new email (b) naming a new leaf (c) recorded spoken words (d) what training builds
  24. 24.True or false: “flagging a new email” is a prediction. (a) False (b) True
  25. 25.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
  26. 26.True or false: “recorded spoken words” is the model. (a) False (b) True
  27. 27.Which of these is a prediction? (a) the learned patterns (b) past weather records (c) recorded spoken words (d) typing a new spoken word
  28. 28.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
  29. 29.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
  30. 30.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
  31. 31.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  32. 32.True or false: “old emails marked spam” is training data. (a) True (b) False
  33. 33.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
  34. 34.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  35. 35.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) the learned patterns (d) naming a new leaf
  36. 36.True or false: “the learned patterns” is a prediction. (a) False (b) True
  37. 37.True or false: “labelled fruit photos” is training data. (a) False (b) True
  38. 38.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
  39. 39.Which of these is the model? (a) the learned patterns (b) past weather records (c) old emails marked spam (d) recorded spoken words
  40. 40.Which of these is training data? (a) what training builds (b) naming a new leaf (c) past weather records (d) naming a new fruit photo

Answer key

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

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