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