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