The Evaluation node helps to evaluate and compare predictive
models. The evaluation chart shows how well models predict particular outcomes. It sorts records
based on the predicted value and confidence of the prediction. It splits the records into groups of
equal size (quantiles) and then plots the value of the business criterion for each
quantile from highest to lowest. Multiple models are shown as separate lines in the plot.
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export_data
flag
data_filename
string
delimiter
string
new_line
flag
inc_field_names
flag
inc_best_line
flag
inc_business_rule
flag
business_rule_condition
string
plot_score_fields
flag
score_fields
[field1 ... fieldN]
target_field
field
use_hit_condition
flag
hit_condition
string
use_score_expression
flag
score_expression
string
caption_auto
flag
split_by_partition
boolean
If a partition field is used to split records into training, test, and validation samples,
use this option to display a separate evaluation chart for each partition.
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