evaloutput-class: "evaloutput"
In chbernau/CMA: Synthesis of microarray-based classification

Object returned by the method evaluation.

score:: A numeric vector of performance scores whose length depends on "scheme", s.below. It equals the number of iterations (number of different datasets) if "scheme = iterationwise" and the number of all observations in the complete dataset otherwise. As not necessarily all observation must be predicted at least one time, score can also contain NAs for those observations not classified at all.
measure:: performance measure used, s. evaluation.
scheme:: scheme used, s. evaluation
method:: name of the classifier that has been evaluated.

show: Use show(evaloutput-object) for brief information.
summary: Use summary(evaloutput-object) to apply the classic summary() function to the slot score, s. summary,evaloutput-method
boxplot: Use boxplot(evaloutput-object) to display a boxplot of the slot score, s. boxplot,evaloutput-method.
obsinfo: Use obsinfo(evaloutput-object, threshold) to display all observations consistenly correctly or incorrectly classified (depending on the value of the argument threshold), s. obsinfo.