Model accuracy parameters for supervised classification of accelerometer data collected from a trained golden eagle.
收藏Figshare2017-04-13 更新2026-04-29 收录
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Parameters reported are sensitivity, specificity, positive predicted value, negative predicted value, prevalence and balanced accuracy as estimated for random forest (RF) model and K-nearest neighbor (KNN) models.
创建时间：
2017-04-13
