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