Validation Probability Plots

Probability plots are used to observe the distribution of values in the dataset and can be displayed in four different ways, depending on the axis scaling selected. The plot display options include:

• Cumulative Distribution
• Log Cumulative Distribution
• Probability, and
• Log Probability.

The Model Validation Probability Plot plots the probability that the values in the underlying dataset(s) are less than a given grade value.

• When Model Validation is applied to point (assay) data, the plot compares the sampled assay values with corresponding values from up to three configured block model estimates.

• When applied to a block model, the plot compares up to three block model datasets, including the parent dataset, directly.

Note: Block model estimates are weighted by the configured volume and density values. See Configure Model Validation Settings.

The Model Validation Probability Plot component can only be inserted under a Model Validation component.

Model Validation Probability Plots are configured in a similar way to regular probability plot components with extra options for data series colouring. See Draw and Configure a Probability Plot.