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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 784 · 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.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
  2. 2.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
  3. 3.Which of these is training data? (a) tomorrow’s rain guess (b) what training builds (c) past weather records (d) naming a new leaf
  4. 4.Which of these is the model? (a) the learned patterns (b) naming a new leaf (c) old emails marked spam (d) flagging a new email
  5. 5.Which of these is a prediction? (a) labelled fruit photos (b) past weather records (c) the trained program (d) naming a new fruit photo
  6. 6.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  7. 7.Which of these is training data? (a) what training builds (b) 500 labelled leaf photos (c) naming a new fruit photo (d) the trained program
  8. 8.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
  9. 9.True or false: “the learned patterns” is training data. (a) False (b) True
  10. 10.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
  11. 11.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
  12. 12.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a password (d) a label error
  13. 13.True or false: “naming a new leaf” is a prediction. (a) True (b) False
  14. 14.Which of these is training data? (a) the trained program (b) labelled fruit photos (c) tomorrow’s rain guess (d) the learned patterns
  15. 15.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  16. 16.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
  17. 17.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
  18. 18.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
  19. 19.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
  20. 20.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
  21. 21.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
  22. 22.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
  23. 23.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
  24. 24.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
  25. 25.Which of these is the model? (a) flagging a new email (b) typing a new spoken word (c) naming a new fruit photo (d) the trained program
  26. 26.⏩ 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
  27. 27.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
  28. 28.True or false: “recorded spoken words” is training data. (a) True (b) False
  29. 29.Which of these is training data? (a) old emails marked spam (b) flagging a new email (c) naming a new fruit photo (d) the learned patterns
  30. 30.True or false: “the trained program” is the model. (a) False (b) True
  31. 31.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
  32. 32.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
  33. 33.🧪 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
  34. 34.Which of these is training data? (a) flagging a new email (b) naming a new leaf (c) the learned patterns (d) recorded spoken words
  35. 35.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
  36. 36.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
  37. 37.Which of these is a prediction? (a) the learned patterns (b) the trained program (c) tomorrow’s rain guess (d) past weather records
  38. 38.⏩ 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
  39. 39.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
  40. 40.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data

Answer key

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

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