# gainslift_bins¶

• Available in: GBM, DRF, Naïve-Bayes, XGBoost

• Hyperparameter: no

## Description¶

The Kolmogorov-Smirnov (KS) metric represents the degree of separation between the positive and negative distribution functions for a binomial model. Detailed metrics per each group can be found in the Gains/Lift table.

The gainslift_bins option specifies the number of bins for a Gains/Lift table. The default value is -1 and makes the binning automatic. To disable this feature, set to 0.

## Example¶

library(h2o)
h2o.init()

# import the airlines dataset:
airlines <- h2o.importFile("https://s3.amazonaws.com/h2o-public-test-data/smalldata/testng/airlines_train.csv")

# build and train the model:
model <- h2o.gbm(x = c("Origin", "Distance"),
y = "IsDepDelayed",
training_frame = airlines,
ntrees = 1,
gainslift_bins = 20)

# print the Gains/Lift table for the model:
print(h2o.gainsLift(model))

import h2o