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Fig. 1 | Movement Ecology

Fig. 1

From: An evaluation of machine learning classifiers for next-generation, continuous-ethogram smart trackers

Fig. 1

Comparison of overall accuracies of six machine learning methods across five different datasets encompassing Common crane, Dairy cow, Griffon vulture, Roe deer and White stork, with full features sets and simplified feature sets. Mean and 95% confidence interval using 10-fold cross-validation are presented. LDA: linear discriminant analysis, DT: decision tree, SVM: support vector machine, RF: random forest, ANN: artificial neural network, XGBoost: extreme gradient boosting

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