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