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