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