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Optimizing Criteria in Classification Problems
The criteria by which you expect your classification model to do as best as possible.
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Data Science
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Confusion Matrix
ROC Curve and ROC AUC
Precision and Recall performance metrics.
F1 Score
Optimizing Criteria in Classification Problems
Satisficing Criteria in Classification Problems
What evaluation metric would you want to maximize based on the following scenario?
Recall of a Classification Model
Precision of a Classification Model
Sensitivity Analysis of a Classification Model
Learning Curve of a Classification Model
Having three evaluation metrics makes it harder for you to quickly choose between two different algorithms, and will slow down the speed with which your team can iterate. True/False?
If you had the four following models, which one would you choose based on the following accuracy, runtime, and memory size criteria?
Coverage
F-Measure
Bayes Error Rate
How to choose between precision and recall?