ROCCurve
A ROC (Receiver Operating Characteristic) curve is a graph that plots a binary classification model's true positive rate against its false positive rate across every possible decision threshold, visualizing the tradeoff between catching positives and generating false alarms.
4 resources across 1 library
Glossary Terms(4)
Confusion Matrix
A confusion matrix is a table that summarizes the performance of a classification model by showing the counts of correct and incorrect predictions broken down…
Precision and Recall
Precision and recall are two complementary metrics for evaluating a classification model: precision measures how many of the model's positive predictions were…
F1 Score
The F1 score is a single classification metric that combines precision and recall into one number by calculating their harmonic mean, providing a balanced meas…
ROC Curve
A ROC (Receiver Operating Characteristic) curve is a graph that plots a binary classification model's true positive rate against its false positive rate across…