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There are 194,989 cells in each map, of which 140,852 were chosen by stratified random sampling for training and the rest 54,137 cells were used for model test.
Within Maxent processing, 75% occurrence points (164) were randomly selected for training model, and the rest 25% points (54) were used for model test and validation.
75% occurrence points were randomly selected for training model, and the rest 25% points were used for model test and validation.
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Of the total suspected points, 25% were randomly excluded from modeling and used for model testing and validation.
Various materials have been used for model tests; for example, rubber was used on some early tests for Hoover Dam.
The dataset of one treatment was used for model testing and calibration.
Commonly, the test of exact model fit (i.e. Chi square or Chi square difference test), the root-mean-square-error-of-approximation (RMSEA, Steiger 1990) and comparative fit index (CFI, Bentler 1990) are used for model testing.
All data were used for model testing and training.
EFA was used for model development and CFA was used for model testing.
The selection procedure described above resulted in the following measures used for model testing.
Fig. 1 Cell map used for model construction and testing.
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