Logistic Regression Model. Using all plots, and the comprehensive modeling approach described in Section 3.1 LIDAR Method: Comprehensive Model Selection, models were built and ranked by their XxXxxxxx pseudo-R2 values. However, unlike the methodology in Section 3.1.2, Intensity, L Moment, and Count metrics were not excluded from the comprehensive model selection process. Further review of the models with the highest R2 values resulted in selecting the model below.
Appears in 3 contracts
Samples: www.dnr.wa.gov, www.dnr.wa.gov, nrsig.org
Logistic Regression Model. Using all plots, and the comprehensive modeling approach described in Section 3.1 LIDAR Method: Comprehensive Model Selection, models were built and ranked by their XxXxxxxx pseudo-R2 values. However, unlike the methodology in Section 3.1.2, 3.1.2 Intensity, L Moment, and Count metrics were not excluded from the comprehensive model selection process. Further review Review of the models with the highest R2 values resulted in selecting the model below.
Appears in 3 contracts
Samples: www.dnr.wa.gov, www.dnr.wa.gov, nrsig.org
Logistic Regression Model. Using all plots, and the comprehensive modeling approach described in Section 3.1 LIDAR Method: Comprehensive Model Selection, models were built and ranked by their XxXxxxxx pseudo-R2 values. However, unlike the methodology in Section 3.1.2, 3.1.2 Intensity, L Moment, and Count metrics were not excluded from the comprehensive model selection process. Further review of the models with the highest R2 values resulted in selecting the model below.
Appears in 3 contracts
Samples: www.dnr.wa.gov, www.dnr.wa.gov, nrsig.org