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An adaptive sampling algorithm was also implemented to improve the simulation efficiency without decrease of accuracy.
All tested models had a strong decrease of accuracy with depth, from an EF of about 0.8 in the topsoil to 0.2 at 0.8 to 1 m subsoil depth.
The computation of system reliability (SRR), for each single response of each single subsystem, allows to address temporary decrease of accuracy due to adverse conditions (light, dirty sensors, etc)., by possibly refusing a poorly reliable response or by asking for a new recognition operation.
With slight decrease of accuracy, acquisition and processing times can be halved by skipping every other slice.
The variable selection using Gini importance resulted in a decrease of accuracy rate to 1%to1.5%5%.
PNN may be considered a compromise between the lack of method's internal information of SVM and the decrease of accuracy of GTM.
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The high accuracies with BM in scenario 1 were in line with this expectation but the stronger decrease of accuracies in scenarios 1 to 3 compared to the decrease of accuracies in scenarios 4 to 6 was not.
The decrease of accuracies calculated with BM and PLSR when markers with a MAF lower than 0.10 were excluded was in line with the decrease of R2 (Table 2).
Additional simulations were done with a number of QTL ranging between the intermediate and high number of QTL and using an unequal distribution of QTL variance to investigate the strong decrease of accuracies of BM from scenario 2 to scenario 3 (Table 3).
Using the cranks tends to result in a decreasing of accuracy.
This is due to the increase of the geographical range of applicability without a significant decrease of the accuracy.
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