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