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