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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 849 · 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: “flagging a new email”? (a) training data (b) a prediction (c) the model
  2. 2.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
  3. 3.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
  4. 4.⏩ 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
  5. 5.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
  6. 6.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
  7. 7.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  8. 8.Which of these is training data? (a) what training builds (b) flagging a new email (c) tomorrow’s rain guess (d) 500 labelled leaf photos
  9. 9.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
  10. 10.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
  11. 11.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
  12. 12.Which of these is a prediction? (a) 500 labelled leaf photos (b) recorded spoken words (c) naming a new leaf (d) labelled fruit photos
  13. 13.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  14. 14.Which of these is training data? (a) tomorrow’s rain guess (b) labelled fruit photos (c) what training builds (d) the learned patterns
  15. 15.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
  16. 16.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
  17. 17.True or false: “the learned patterns” is a prediction. (a) True (b) False
  18. 18.Which of these is training data? (a) what training builds (b) old emails marked spam (c) the trained program (d) the learned patterns
  19. 19.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
  20. 20.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
  21. 21.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) the trained program (d) recorded spoken words
  22. 22.Which of these is the model? (a) tomorrow’s rain guess (b) the trained program (c) naming a new leaf (d) 500 labelled leaf photos
  23. 23.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  24. 24.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
  25. 25.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
  26. 26.True or false: “what training builds” is a prediction. (a) True (b) False
  27. 27.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
  28. 28.True or false: “past weather records” is the model. (a) True (b) False
  29. 29.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
  30. 30.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
  31. 31.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
  32. 32.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
  33. 33.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  34. 34.True or false: “typing a new spoken word” is training data. (a) True (b) False
  35. 35.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
  36. 36.True or false: “the trained program” is the model. (a) True (b) False
  37. 37.Which of these is training data? (a) the trained program (b) the learned patterns (c) past weather records (d) tomorrow’s rain guess
  38. 38.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
  39. 39.True or false: “what training builds” is training data. (a) False (b) True
  40. 40.True or false: “the trained program” is training data. (a) True (b) False

Answer key

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

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