Summary
The CrossValidationResult class is returned by the Cross Validation tool and contains access to the cross-validation results that can be generated for any geostatistical layer.
Discussion
The CrossValidationResult class is similar to the Result class except for the additional read-only properties that it contains. For detailed help, see the Cross Validation tool.
Only the mean and root mean square error results are available for IDW, Global Polynomial Interpolation, Radial Basis Functions, Diffusion Interpolation With Barriers, and Kernel Interpolation With Barriers.
Percent in 90% Interval, Percent in 95% Interval, and Average CRPS are only available for Empirical Bayesian Kriging and EBK Regression Prediction models.
Properties
| Property | Explanation | Data Type |
| averageCRPS (Read Only) | The average of the Continuous Ranked Probability Scores (CRPS) for all points. | Double |
| averageStandard (Read Only) | The average of the prediction standard errors. | Double |
| count (Read Only) | The number of input samples. | Long |
| inputCount (Read Only) | Returns the number of inputs. | Integer |
| maxSeverity (Read Only) | Returns the maximum severity of the messages.
| Integer |
| meanError (Read Only) | The averaged difference between the measured and the predicted values. | Double |
| meanStandardized (Read Only) | Mean standardized error. | Double |
| messageCount (Read Only) | Returns the number of messages. | Integer |
| outputCount (Read Only) | Returns the number of outputs. | Integer |
| percentIn90Interval (Read Only) | The percentage of points that are contained in a 90 percent cross validated confidence interval. | Double |
| percentIn95Interval (Read Only) | The percentage of points that are contained in a 95 percent cross validated confidence interval. | Double |
| resultID (Read Only) | Gets the job ID. If the tool is not a geoprocessing service, the resultID will be "". | String |
| rootMeanSquare (Read Only) | The root mean square error. | Double |
| rootMeanSquareStandardized (Read Only) | The root-mean-square-standardized error should be close to 1 if the prediction standard errors are valid. If the root-mean-square-standardized error is greater than 1, you are underestimating the variability in your predictions. If the root-mean-square-standardized error is less than 1, you are overestimating the variability in your predictions. | Double |
| status (Read Only) | Gets the job status.
| Integer |
Method Overview
| Method | Explanation |
| cancel () | Cancels an associated job |
| getInput (index) | Returns a given input, either as a string or a RecordSet object. |
| getMapImageURL ({parameter_list}, {height}, {width}, {resolution}) | Returns a map service image for a given output, if one exists. |
| getMessage (index) | Returns a specific message by index position. |
| getMessages ({severity}) | Returns the geoprocessing tool messages. |
| getOutput (index) | Returns a given output, either as a RecordSet object or a string. If the output of the tool, such as Make Feature Layer, is a layer, getOutput will return a Layer object. |
| getSeverity (index) | Returns the severity of a specific message. |
Methods
cancel ()
getInput (index)
| Parameter | Explanation | Data Type |
index | The index position of the input as an integer, or the parameter name. | Variant |
| Data Type | Explanation |
| Variant | The input, either as a RecordSet object or a string. |
getMapImageURL ({parameter_list}, {height}, {width}, {resolution})| Parameter | Explanation | Data Type |
parameter_list | The parameters on which the map service image will be based. | Integer |
height | The height of the image. | Double |
width | The width of the image. | Double |
resolution | The resolution of the image. | Double |
| Data Type | Explanation |
| String | The URL of the map image. |
getMessage (index)
| Parameter | Explanation | Data Type |
index | The index position of the message. | Integer |
| Data Type | Explanation |
| String | The geoprocessing message. |
getMessages ({severity})| Parameter | Explanation | Data Type |
severity | The type of messages to be returned.
Not specifying a severity level will return all types of messages. (The default value is 0) | Integer |
| Data Type | Explanation |
| String | The geoprocessing tool messages. |
getOutput (index)
| Parameter | Explanation | Data Type |
index | The index position of the output as an integer, or the parameter name. | Variant |
| Data Type | Explanation |
| Variant | The output, either as a RecordSet or a string. If the output of the tool, such as Make Feature Layer, is a layer, getOutput will return a Layer object. Result outputs can also be accessed by index by integer or by name. For example, to access the record count from the Get Count tool, result.getOutput(0), result[0], result.getOutput("row_count"), and result["row_count"] are equivalent. |
getSeverity (index)
| Parameter | Explanation | Data Type |
index | The message index position. | Integer |
| Data Type | Explanation |
| Integer | The severity of the specific message.
|
Code sample
Perform cross-validation on an input geostatistical layer.
import arcpy
arcpy.env.workspace = "C:/gapyexamples/data"
cvResult = arcpy.CrossValidation_ga("C:/gapyexamples/data/kriging.lyr")
print("Root Mean Square error = " + str(cvResult.rootMeanSquare))Perform cross-validation on an input geostatistical layer.
# Name: CrossValidation_Example_02.py
# Description: Perform cross validation on an input geostatistical layer.
# Requirements: Geostatistical Analyst Extension
# Import system modules
import arcpy
# Set environment settings
arcpy.env.workspace = "C:/gapyexamples/data"
# Set local variables
inLayer = "C:/gapyexamples/data/kriging.lyr"
# Execute CrossValidation
cvResult = arcpy.CrossValidation_ga(inLayer)
print("Root Mean Square error = " + str(cvResult.rootMeanSquare))