🤖 ML Model Evaluation Assignment
Test your knowledge of machine learning concepts!
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đź“š Key Terms
Training Data
The dataset used to train an ML model.
Validation Data
The dataset used to tune the model's hyperparameters.
Testing Data
The dataset used to evaluate the performance of the model.
Overfitting
A modeling error where the model performs well on training data but poorly on new data.
Underfitting
A modeling error where the model is too simple to capture the underlying patterns in the data.
Accuracy
The ratio of correctly predicted observations to the total observations.
Precision
The ratio of correctly predicted positive observations to the total predicted positives.
Recall
The ratio of correctly predicted positive observations to all observations in the actual class.
F1 Score
The weighted average of precision and recall.
Confusion Matrix
A table used to evaluate the performance of a classification model.
Model Deployment
The process of making an ML model available for use in production environments.
Endpoint
A URL where the deployed model can be accessed.
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