Comparing the performance of Lasso logistic regression model and boosted regression tree (BRT) models in terms of the area under the receiver-operating-characteristic (ROC) curve in the 5-fold cross validation for 76 species in the four selected river basins (i.e., New River, Illinois River, Brazos River and Snake River).

Abstract

<p>The results from the two set of models were generally in agreement, with Pearson’s <i>r</i> over 0.9. For fish species Mountain whitefish, <i>Prosopium williamsoni</i> and Torrent sculpin, <i>Cottus rhotheus</i> (marked as circles) in the Snake River where occurrence data was relatively sparse, the Lasso logistic models outperformed the BRT models.</p