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