Fig. 3
From: Genome-enabled prediction using probabilistic neural network classifiers
Histograms of the AUC criterion and their standard deviation (error bars) for the maize datasets. a grain yield (GY) under optimal conditions (HI and WW) and stress conditions (LO and SS) of classifiers MLP and PNN in the upper 15 and 30 % classes; b anthesis-silking interval (ASI) under optimal conditions (WW) and drought stress conditions (SS) of MLP and PNN of the middle 40 and 70 % classes; c female flowering time (FFL), male flowering time (MFL) under optimal well-watered (WW) conditions and drought stress conditions (SS) of MLP and PNN of the lower 15 and 30 % classes; d gray leaf spot resistance (GLS) in 6 environments (1–6) of MLP and PNN of the lower 15 and 30 % classes