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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 619 · 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: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
  2. 2.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
  3. 3.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
  4. 4.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
  5. 5.Which of these is the model? (a) the trained program (b) naming a new leaf (c) 500 labelled leaf photos (d) naming a new fruit photo
  6. 6.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
  7. 7.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
  8. 8.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
  9. 9.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
  10. 10.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
  11. 11.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  12. 12.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  13. 13.Which of these is training data? (a) what training builds (b) recorded spoken words (c) typing a new spoken word (d) naming a new leaf
  14. 14.Which of these is the model? (a) what training builds (b) flagging a new email (c) past weather records (d) naming a new leaf
  15. 15.Which of these is training data? (a) tomorrow’s rain guess (b) labelled fruit photos (c) flagging a new email (d) naming a new leaf
  16. 16.Which of these is training data? (a) 500 labelled leaf photos (b) naming a new leaf (c) flagging a new email (d) naming a new fruit photo
  17. 17.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
  18. 18.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
  19. 19.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
  20. 20.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
  21. 21.True or false: “past weather records” is the model. (a) True (b) False
  22. 22.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
  23. 23.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
  24. 24.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
  25. 25.True or false: “naming a new leaf” is the model. (a) False (b) True
  26. 26.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
  27. 27.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  28. 28.Which of these is the model? (a) the learned patterns (b) recorded spoken words (c) 500 labelled leaf photos (d) past weather records
  29. 29.Which of these is training data? (a) the trained program (b) the learned patterns (c) naming a new leaf (d) old emails marked spam
  30. 30.True or false: “old emails marked spam” is the model. (a) False (b) True
  31. 31.True or false: “the learned patterns” is the model. (a) False (b) True
  32. 32.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
  33. 33.True or false: “flagging a new email” is the model. (a) True (b) False
  34. 34.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
  35. 35.True or false: “past weather records” is a prediction. (a) True (b) False
  36. 36.⏩ 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
  37. 37.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
  38. 38.Which of these is a prediction? (a) 500 labelled leaf photos (b) old emails marked spam (c) what training builds (d) tomorrow’s rain guess
  39. 39.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
  40. 40.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True

Answer key

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

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