← Training data, model and prediction lesson New set →

AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 553 · 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.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
  2. 2.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
  3. 3.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
  4. 4.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) labelled fruit photos (d) typing a new spoken word
  5. 5.Which of these is training data? (a) past weather records (b) tomorrow’s rain guess (c) typing a new spoken word (d) the trained program
  6. 6.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
  7. 7.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
  8. 8.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) recorded spoken words (d) what training builds
  9. 9.Which of these is the model? (a) tomorrow’s rain guess (b) typing a new spoken word (c) labelled fruit photos (d) the learned patterns
  10. 10.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to change its name (d) to make it slower
  11. 11.⏩ 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
  12. 12.True or false: “what training builds” is a prediction. (a) False (b) True
  13. 13.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
  14. 14.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
  15. 15.Which of these is training data? (a) the trained program (b) what training builds (c) typing a new spoken word (d) labelled fruit photos
  16. 16.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
  17. 17.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
  18. 18.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
  20. 20.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
  21. 21.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) naming a new leaf (d) labelled fruit photos
  22. 22.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
  23. 23.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
  24. 24.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
  25. 25.True or false: “the learned patterns” is training data. (a) True (b) False
  26. 26.True or false: “flagging a new email” is training data. (a) True (b) False
  27. 27.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
  28. 28.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  29. 29.Which of these is training data? (a) flagging a new email (b) what training builds (c) 500 labelled leaf photos (d) the learned patterns
  30. 30.Which of these is the model? (a) naming a new fruit photo (b) naming a new leaf (c) the trained program (d) old emails marked spam
  31. 31.True or false: “the trained program” is the model. (a) False (b) True
  32. 32.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
  33. 33.Which of these is training data? (a) typing a new spoken word (b) naming a new fruit photo (c) the trained program (d) old emails marked spam
  34. 34.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
  35. 35.True or false: “the learned patterns” is a prediction. (a) False (b) True
  36. 36.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
  37. 37.Which of these is the model? (a) typing a new spoken word (b) naming a new fruit photo (c) what training builds (d) tomorrow’s rain guess
  38. 38.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
  39. 39.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
  40. 40.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf

Answer key

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

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students