Botanical Studies

Table 3 Predicting criteria of the ZIP and ZINB models with the validation dataset

From: Using a zero-inflated model to assess gene flow risk and coexistence of Brassica napus L. and Brassica rapa L. on a field scale in Taiwan

Dispersal kernel function	ZINB model
Dispersal kernel function	RMSE	Adj. R²	AIC	BIC	MSPR
Log-sech	0.0083	0.34657	− 7650.3	− 7644.9	0.000068767
Exponential power	0.0083	0.34681	− 7650.5	− 7645.2	0.000068742
Power law	0.00833	0.34179	− 7644.4	− 7639.1	0.000069270
Logistic	0.00831	0.34446	− 7647.7	− 7642.3	0.000068989
2Dt	0.0083	0.34595	− 7649.5	− 7644.1	0.000068832
Gamma	0.0083	0.3466	− 7650.3	− 7644.9	0.000068764
WALD	0.00831	0.34404	− 7647.2	− 7641.8	0.000069033
Weibull	0.0083	0.3466	− 7650.3	− 7644.9	0.000068764
Neg. Exponential	0.00836	0.33831	− 7641.2	− 7633.8	0.000069723
Log-normal	0.0083	0.3456	− 7649.1	− 7643.7	0.000068869
Gaussian	0.00832	0.34363	− 7647.7	− 7640.3	0.000069163

RMSE: root mean square error; adj. R²: adjusted coefficient of determination; AIC: Akaike’s information criterion; BIC: Schwarz’s Bayesian information criterion; MSPR: mean squared prediction error

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