Correcting for the effects of class imbalance improves the performance of machine-learning based species distribution models
Donald J. Benkendorf, Samuel D. Schwartz, D. Richard Cutler, Charles P. Hawkins
Topics & Concepts
Machine learningArtificial intelligenceRandom forestComputer scienceBoosting (machine learning)Support vector machineWeightingArtificial neural networkSampling biasSampling (signal processing)StatisticsSample size determinationMathematicsMedicineRadiologyComputer visionFilter (signal processing)Species Distribution and Climate ChangeFish Ecology and Management StudiesFreshwater macroinvertebrate diversity and ecology