← 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 891 · 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: “recorded spoken words” is the model. (a) True (b) False
  2. 2.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
  3. 3.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
  4. 4.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
  5. 5.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
  6. 6.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
  7. 7.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
  8. 8.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
  9. 9.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
  10. 10.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
  11. 11.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
  12. 12.⏩ In machine learning, which comes first: recorded spoken words or typing a new spoken word? (a) recorded spoken words (b) typing a new spoken word
  13. 13.True or false: “recorded spoken words” is training data. (a) True (b) False
  14. 14.Which of these is a prediction? (a) flagging a new email (b) what training builds (c) old emails marked spam (d) the trained program
  15. 15.Which of these is training data? (a) the trained program (b) typing a new spoken word (c) flagging a new email (d) recorded spoken words
  16. 16.True or false: “typing a new spoken word” is the model. (a) False (b) True
  17. 17.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  18. 18.True or false: “naming a new leaf” is the model. (a) False (b) True
  19. 19.⏩ 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
  20. 20.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
  21. 21.Which of these is training data? (a) typing a new spoken word (b) past weather records (c) the learned patterns (d) tomorrow’s rain guess
  22. 22.🔮 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
  23. 23.True or false: “naming a new leaf” is training data. (a) True (b) False
  24. 24.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
  25. 25.True or false: “what training builds” is a prediction. (a) True (b) False
  26. 26.⏩ In machine learning, which comes first: recorded spoken words or naming a new fruit photo? (a) recorded spoken words (b) naming a new fruit photo
  27. 27.True or false: “the learned patterns” is a prediction. (a) True (b) False
  28. 28.True or false: “labelled fruit photos” is training data. (a) False (b) True
  29. 29.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
  30. 30.True or false: “what training builds” is the model. (a) True (b) False
  31. 31.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  32. 32.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
  33. 33.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  34. 34.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
  35. 35.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
  36. 36.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  37. 37.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
  38. 38.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
  39. 39.Which of these is the model? (a) what training builds (b) labelled fruit photos (c) tomorrow’s rain guess (d) old emails marked spam
  40. 40.True or false: “past weather records” is the model. (a) False (b) True

Answer key

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

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