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