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 H2OModelMetrics h2o.kolmogorov_smirnov(object) # S4 method for H2OModel h2o.kolmogorov_smirnov(object)
object | Either an H2OModel object or an H2OModelMetrics object. |
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Kolmogorov-Smirnov metric, a number between 0 and 1.
The H2OModelMetrics version of this function will only take H2OBinomialMetrics objects.
h2o.gainsLift
to see detailed K-S metrics per group
# 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) # }