fitSummary: Fitting summary

In ntels-BI/ntelsBI: Analysis R package for ntels Business Intelligence Team

Description

ml class <ec><9d><b8> <ed><95><99><ec><8a><b5><ea><b2><b0><ea><b3><bc> <eb><b0><8f> <ed><85><8c><ec><8a><a4><ed><8a><b8><ec><85><8b><ec><9d><84> <ec><9d><b4><ec><9a><a9><ed><95><98><ec><97><ac> Classification <ec><9d><bc> <ea><b2><bd><ec><9a><b0> <ed><98><bc><eb><8f><88><eb><a9><94><ed><8a><b8><eb><a6><ad><ec><8a><a4>, Regression <ec><9d><bc> <ea><b2><bd><ec><9a><b0> MSE <ea><b0><80> <eb><b0><98><ed><99><98><eb><90><98><eb><a9><b0> type <ec><9d><b8><ec><9e><90><eb><a5><bc> <ed><86><b5><ed><95><b4> Classification <ec><9d><b8><ec><a7><80> Regression <ec><9d><b8><ec><a7><80> <ec><84><a0><ed><83><9d><ed><95><a9><eb><8b><88><eb><8b><a4>.

Usage

fitSummary(fitObject, testset = NULL, class = fitObject$class,
  type = c("cla", "reg"), ...)

Arguments

fitObject	a "ml" class object
testset	if new testset
method	choice machine learning algorithm method
fitImage	a character. Input filename for chaching fit Object

Value

type if "cla", confusion matrix. else "reg" numeric of MSE

Examples

fit <- ml(iris, "Species")
fitSummary(fit, type = "cla")

ntels-BI/ntelsBI documentation built on May 24, 2019, 2:49 p.m.