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