evaluationnode properties | IBM Cloud Pak for Data as a Service

evaluationnode properties

Last updated: Jan 17, 2024

evaluationnode properties

Evaluation node icon 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.

Example

stream = modeler.script.stream()
typenode = stream.findByID("id42KW3MSA94B")

node = stream.create("evaluation", "My node")
stream.link(typenode, node)

# "Plot" tab
node.setPropertyValue("chart_type", "Gains")
node.setPropertyValue("cumulative", False)
node.setPropertyValue("field_detection_method", "Name")
node.setPropertyValue("inc_baseline", True)
node.setPropertyValue("n_tile", "Deciles")
node.setPropertyValue("style", "Point")
node.setPropertyValue("plot_score_fields", True)
node.setPropertyValue("score_fields", ["Na", "K", "Age"])
node.setPropertyValue("use_fixed_cost", True)
node.setPropertyValue("cost_value", 5.0)
node.setPropertyValue("target_field", "Drug")
node.setPropertyValue("cost_field", "Na")
node.setPropertyValue("use_fixed_revenue", True)
node.setPropertyValue("revenue_value", 30.0)
node.setPropertyValue("revenue_field", "Age")
node.setPropertyValue("use_fixed_weight", True)
node.setPropertyValue("weight_value", 2.0)
node.setPropertyValue("weight_field", "K")

Table 1. evaluationnode properties
`evaluationnode` properties	Data type	Property description
`chart_type`	`Gains` `Response` `Lift` `Profit` `ROI` `ROC`
`inc_baseline`	flag
`field_detection_method`	`Metadata` `Name`
`use_fixed_cost`	flag
`cost_value`	number
`cost_field`	string
`use_fixed_revenue`	flag
`revenue_value`	number
`revenue_field`	string
`use_fixed_weight`	flag
`weight_value`	number
`weight_field`	field
`n_tile`	`Quartiles` `Quintles` `Deciles` `Vingtiles` `Percentiles` `1000-tiles`
`cumulative`	flag
`style`	`Line` `Point`
`point_type`	`Rectangle` `Dot` `Triangle` `Hexagon` `Plus` `Pentagon` `Star` `BowTie` `HorizontalDash` `VerticalDash` `IronCross` `Factory` `House` `Cathedral` `OnionDome` `ConcaveTriangle` `OblateGlobe` `CatEye` `FourSidedPillow` `RoundRectangle` `Fan`
`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.
`use_profit_criteria`	boolean	Enables profit criteria.
`use_grid`	boolean	Displays grid lines.