Retrieves a Kolmogorov-Smirnov metric for given binomial model. The number returned is in range between 0 and 1. K-S metric represents the degree of separation between the positive (1) and negative (0) cumulative distribution functions. Detailed metrics per each group are to be found in the gains-lift table.
h2o.kolmogorov_smirnov(object)## S4 method for signature 'H2OModelMetrics'h2o.kolmogorov_smirnov(object)## S4 method for signature 'H2OModel'h2o.kolmogorov_smirnov(object)
Arguments
object: Either an H2OModel object or an H2OModelMetrics object.
Returns
Kolmogorov-Smirnov metric, a number between 0 and 1.
Details
The H2OModelMetrics version of this function will only take H2OBinomialMetrics objects.
Examples
## Not run:library(h2o)h2o.init()data <- h2o.importFile(path ="https://s3.amazonaws.com/h2o-public-test-data/smalldata/airlines/allyears2k_headers.zip")model <- h2o.gbm(x = c("Origin","Distance"), y ="IsDepDelayed", training_frame = data, ntrees =1)h2o.kolmogorov_smirnov(model)## End(Not run)
See Also
h2o.gainsLift to see detailed K-S metrics per group