Machine Learning
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ROC Curve
Quick Definition
Plot showing classifier performance across thresholds
Full Definition
A graphical plot showing classifier performance across all classification thresholds using true and false positive rates.
Examples
model comparison, threshold selection, AUC scoring
Related Terms
confusion-matrix
model-evaluation
More Machine Learning Terms
Feature Selection
Identifying the most relevant features for model training
Gradient Descent
Optimization algorithm minimizing loss by steepest descent
Hyperparameter Tuning
Finding optimal configuration values before training
Hidden Markov Model
Statistical model with hidden states and observable outputs
Clustering
Grouping similar data points based on feature similarity
Dimensionality Reduction
Reducing feature count while preserving important information