← 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 298 · 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.Which of these is the model? (a) the learned patterns (b) labelled fruit photos (c) naming a new fruit photo (d) 500 labelled leaf photos
  2. 2.True or false: “naming a new leaf” is a prediction. (a) True (b) False
  3. 3.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
  4. 4.Which of these is training data? (a) typing a new spoken word (b) the learned patterns (c) 500 labelled leaf photos (d) naming a new leaf
  5. 5.Which of these is training data? (a) naming a new fruit photo (b) labelled fruit photos (c) the trained program (d) flagging a new email
  6. 6.🧪 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
  7. 7.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  8. 8.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  9. 9.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) recorded spoken words (d) naming a new fruit photo
  10. 10.True or false: “past weather records” is the model. (a) False (b) True
  11. 11.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
  12. 12.Which of these is training data? (a) the trained program (b) what training builds (c) naming a new leaf (d) old emails marked spam
  13. 13.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
  14. 14.Which of these is a prediction? (a) what training builds (b) past weather records (c) typing a new spoken word (d) the learned patterns
  15. 15.Which of these is a prediction? (a) past weather records (b) naming a new leaf (c) labelled fruit photos (d) 500 labelled leaf photos
  16. 16.True or false: “the learned patterns” is training data. (a) True (b) False
  17. 17.Which of these is the model? (a) the trained program (b) old emails marked spam (c) typing a new spoken word (d) naming a new fruit photo
  18. 18.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
  19. 19.Which of these is a prediction? (a) labelled fruit photos (b) past weather records (c) 500 labelled leaf photos (d) tomorrow’s rain guess
  20. 20.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
  21. 21.True or false: “labelled fruit photos” is training data. (a) False (b) True
  22. 22.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
  23. 23.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
  24. 24.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
  25. 25.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
  26. 26.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) data, prediction, model (d) model, prediction, data
  27. 27.True or false: “old emails marked spam” is the model. (a) False (b) True
  28. 28.Which of these is training data? (a) flagging a new email (b) past weather records (c) the learned patterns (d) what training builds
  29. 29.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
  30. 30.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
  31. 31.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  32. 32.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
  33. 33.⏩ 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
  34. 34.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
  35. 35.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
  36. 36.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
  37. 37.True or false: “the trained program” is the model. (a) True (b) False
  38. 38.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
  39. 39.Which of these is a prediction? (a) recorded spoken words (b) old emails marked spam (c) flagging a new email (d) the trained program
  40. 40.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model

Answer key

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

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