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There were more inconsistencies in the predictor variables retained by the gender-specific CART models compared to the overall CART models between the two regions, especially for men (not shown).
Extractable Mn was the most important explanatory variable in all CART models (explaining 28 33% of soil P variation).
Based on the Kappa statistic, predictions from both CART models were in "fair" to "moderate" agreement with the test samples.
Overall, it is found that ensemble learning paradigms can remarkably advance the prediction accuracy of CART models in monthly streamflow forecasting.
At the BBS route scale, 80% of the best CART models accounted for >50% of the variation in bird occupancy and abundance.
Based on the Tau statistic, the CART models correctly classified 12% (CRP) and 26% (WCP) more combined test samples than classification of the four regrowth classes.
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Despite the challenges, many vendors are succeeding and thousands have applied for permits, and the green cart model is being explored or taken up in a variety of areas including Santa Clara County, Calif., Washington, D.C., and Philadelphia.
This CART model explains 81% of the variance in the data set comprising 56 measurements.
This contribution deals with the application of energy based control methods for the inverted pendulum on a cart model.
The CART model shows that soil properties play a negligible role for percolation under wet climatic conditions.
The relationships between the image features and electric conductivity measurements of 30 soil samples were studied by means of regression analysis and classification and regression tree (CART) modelling.
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