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Bird Conservation Status and Meaningful Socioeconomic Correlates in Central America: Results from an Open Access Data-Mining Approach for Parrots Using Machine Learning Indicate Serious Economic Problems

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Central American Biodiversity

Abstract

It is well known and documented that human impacts of economic growth in combination with social factors are threatening many of the current critically threatened bird species, such as parrots. This chapter focuses on the contribution of global economic growth to Central American bird species extinction, using categories established by the International Union for Conservation of Nature (IUCN).

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Appendix: Response and ROC Curves of Models

Appendix: Response and ROC Curves of Models

3.1.1 Critically Endangered Birds Model

The best model was found after 301 trees, and the smallest mean absolute error for the test was 0.547 (Figs. 3.5 and 3.6).

Fig. 3.5
figure 5

Response curve for the BCR model

Fig. 3.6
figure 6

Receiver operating characteristic (ROC) curve for BCR model—testing set

3.1.2 Extinct Birds Model

From 1500 trees in TreeNet, the best model was found after the tree #764 with an error of 0.33 (Fig. 3.7). The accuracy of the model was assessed by ROC analysis that showed an AUC for the test set of 0.92593 (Fig. 3.8).

Fig. 3.7
figure 7

Response curve for the BEX model

Fig. 3.8
figure 8

Receiver operating characteristic (ROC) curve for BEX model—testing set

3.1.3 Critically Endangered Parrots Model

For PCR, the best model was found after the tree #98 with an error of 0.650 (Fig. 3.9). The AUC was 0.87200 (Fig. 3.10).

Fig. 3.9
figure 9

Response curve for the PCR model

Fig. 3.10
figure 10

Receiver operating characteristic (ROC) curve for the PCR model—testing set

3.1.4 Extinct Parrots Model

For PEX, the best model was found after the tree number #1999 and had an error of 0.517 (Fig. 3.11). The AUC for the best model was 0.91549 (Fig. 3.12).

Fig. 3.11
figure 11

Response curve for the PEX model

Fig. 3.12
figure 12

Receiver operating characteristic (ROC) curve for the PEX model—testing set

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Resendiz-Infante, C., Huettmann, F. (2015). Bird Conservation Status and Meaningful Socioeconomic Correlates in Central America: Results from an Open Access Data-Mining Approach for Parrots Using Machine Learning Indicate Serious Economic Problems. In: Huettmann, F. (eds) Central American Biodiversity. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2208-6_3

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