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