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