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