← 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 431 · 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: “labelled fruit photos” is training data. (a) True (b) False
  2. 2.True or false: “flagging a new email” is a prediction. (a) True (b) False
  3. 3.Which of these is training data? (a) what training builds (b) naming a new fruit photo (c) typing a new spoken word (d) past weather records
  4. 4.Which of these is the model? (a) the learned patterns (b) recorded spoken words (c) 500 labelled leaf photos (d) old emails marked spam
  5. 5.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
  6. 6.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
  7. 7.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to see if it works (d) to change its name
  8. 8.True or false: “labelled fruit photos” is the model. (a) False (b) True
  9. 9.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
  10. 10.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
  11. 11.Which of these is a prediction? (a) tomorrow’s rain guess (b) the trained program (c) what training builds (d) past weather records
  12. 12.True or false: “the learned patterns” is the model. (a) False (b) True
  13. 13.⏩ 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
  14. 14.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
  15. 15.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
  16. 16.Which of these is the model? (a) old emails marked spam (b) typing a new spoken word (c) the trained program (d) past weather records
  17. 17.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
  18. 18.Which of these is the model? (a) flagging a new email (b) past weather records (c) old emails marked spam (d) what training builds
  19. 19.True or false: “old emails marked spam” is training data. (a) False (b) True
  20. 20.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
  21. 21.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
  22. 22.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) naming a new fruit photo (d) the learned patterns
  23. 23.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
  24. 24.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
  25. 25.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
  26. 26.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
  27. 27.True or false: “recorded spoken words” is the model. (a) True (b) False
  28. 28.True or false: “the learned patterns” is a prediction. (a) True (b) False
  29. 29.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
  30. 30.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
  31. 31.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  32. 32.🔮 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
  33. 33.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  34. 34.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
  35. 35.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
  36. 36.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
  37. 37.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
  38. 38.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
  39. 39.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  40. 40.True or false: “old emails marked spam” is the model. (a) True (b) False

Answer key

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

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