The reference PD valuepparameterizes the curve, and the software sweeps through the unique predicted PD values observed in a data set. The proportion of actual defaulters are assigned a PD higher than or equal
Scatter( name='Predicted', x=fcst['ds'], y=fcst['yhat'], mode='lines', line=dict(color=prediction_color, width=line_width), fillcolor=error_color, fill='tonexty' if uncertainty else 'none' )) # Add upper bound if uncertainty: data.append(go.Scatter(...
Scatterplot of measured and predicted yields from different models and trials. The models consistently performed the best for ADV trials followed by the MID and ERL trials. The dashed blue circle indicates the higher error rate Full size image Figure8also highlights that the inconsistencies between ...
The reference PD value p parameterizes the curve, and the software sweeps through the unique predicted PD values observed in a data set. The proportion of actual defaulters are assigned a PD higher than or equal to p is the true positive rate. The proportion of actual nondefaulters that ar...