Random forest models for mitigating false positives in rat ultrasonic vocalizations
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资源简介：
The data contains 3 random forest models for mitigating false positives in rat ultrasonic vocalizations:55 kHz USV with bedding55 kHz USV with no bedding20 kHz USV with no beddingModels were trained in R with the package ranger. The model predicts, for each row in a annotation table, if the row is a USV (true positive) or not (false positive).The associated code is found at: https://github.com/maRce10/USV_detection_models
创建时间：
2025-08-18
