← 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 258 · 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.True or false: “past weather records” is training data. (a) False (b) True
  2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  3. 3.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
  4. 4.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
  5. 5.Which of these is the model? (a) naming a new fruit photo (b) old emails marked spam (c) labelled fruit photos (d) the trained program
  6. 6.True or false: “past weather records” is the model. (a) False (b) True
  7. 7.Which of these is training data? (a) flagging a new email (b) typing a new spoken word (c) naming a new leaf (d) recorded spoken words
  8. 8.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  9. 9.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
  10. 10.True or false: “flagging a new email” is a prediction. (a) True (b) False
  11. 11.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
  12. 12.Which of these is a prediction? (a) the trained program (b) the learned patterns (c) past weather records (d) tomorrow’s rain guess
  13. 13.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
  14. 14.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
  15. 15.Which of these is the model? (a) naming a new fruit photo (b) what training builds (c) old emails marked spam (d) naming a new leaf
  16. 16.Which of these is a prediction? (a) what training builds (b) typing a new spoken word (c) 500 labelled leaf photos (d) recorded spoken words
  17. 17.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
  18. 18.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
  19. 19.Which of these is training data? (a) what training builds (b) old emails marked spam (c) typing a new spoken word (d) the trained program
  20. 20.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
  21. 21.True or false: “the learned patterns” is training data. (a) True (b) False
  22. 22.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
  23. 23.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  24. 24.🧪 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
  25. 25.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
  26. 26.Which of these is a prediction? (a) past weather records (b) the trained program (c) 500 labelled leaf photos (d) flagging a new email
  27. 27.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
  28. 28.True or false: “flagging a new email” is the model. (a) False (b) True
  29. 29.Which of these is a prediction? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) past weather records (d) old emails marked spam
  30. 30.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
  31. 31.Which of these is training data? (a) flagging a new email (b) typing a new spoken word (c) 500 labelled leaf photos (d) the learned patterns
  32. 32.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
  33. 33.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
  34. 34.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
  35. 35.True or false: “labelled fruit photos” is the model. (a) False (b) True
  36. 36.True or false: “what training builds” is the model. (a) True (b) False
  37. 37.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
  38. 38.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  39. 39.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
  40. 40.True or false: “typing a new spoken word” is the model. (a) False (b) True

Answer key

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

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