summary.performance_bin | R Documentation |
summary method for "performance_bin". summary metrics to evaluate the performance of binomial classification model.
## S3 method for class 'performance_bin'
summary(object, ...)
object |
an object of class "performance_bin", usually, a result of a call to performance_bin(). |
... |
further arguments to be passed from or to other methods. |
print() to print only binning table information of "performance_bin" objects. summary.performance_bin() includes general metrics and result of significance tests life follows.:
Binning Table : Metrics by bins.
CntRec, CntPos, CntNeg, RatePos, RateNeg, Odds, WoE, IV, JSD, AUC.
General Metrics.
Gini index.
Jeffrey's Information Value.
Jensen-Shannon Divergence.
Kolmogorov-Smirnov Statistics.
Herfindahl-Hirschman Index.
normalized Herfindahl-Hirschman Index.
Cramer's V Statistics.
Table of Significance Tests.
NULL.
performance_bin
, plot.performance_bin
, binning_by
,
summary.optimal_bins
.
# Generate data for the example
heartfailure2 <- heartfailure
set.seed(123)
heartfailure2[sample(seq(NROW(heartfailure2)), 5), "creatinine"] <- NA
# Change the target variable to 0(negative) and 1(positive).
heartfailure2$death_event_2 <- ifelse(heartfailure2$death_event %in% "Yes", 1, 0)
# Binnig from creatinine to platelets_bin.
breaks <- c(0, 1, 2, 10)
heartfailure2$creatinine_bin <- cut(heartfailure2$creatinine, breaks)
# Diagnose performance binned variable
perf <- performance_bin(heartfailure2$death_event_2, heartfailure2$creatinine_bin)
perf
summary(perf)
# plot(perf)
# Diagnose performance binned variable without NA
perf <- performance_bin(heartfailure2$death_event_2, heartfailure2$creatinine_bin, na.rm = TRUE)
perf
summary(perf)
plot(perf)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.