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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 601 · 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.

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

Answer key

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

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