Score_algorithms_sort: Score a vector of error metrics for algorithms by the sort

In bishun945/FCMm: Fuzzy Cluster Method Based on the Optimized m Value (Fuzzifier)

Description

Score a vector of error metrics for algorithms by the sort

Usage

Score_algorithms_sort(x, decreasing = TRUE, max.score = 100/4)

Score_algorithms_sort2(x, decreasing = TRUE, max.score = 100/4)

Arguments

x	Input vector of error metrics (NA values are allowed)
decreasing	the order of the good metric to be evaluated. For instance, MAE should use decreasing = TRUE (Default) since the algorithm performs better when MAE becomes smaller. However, when comes to Rsquare from linear regression (maximum is 1), it should be FALSE
max.score	The max.score for scales::rescale. The default is 100/4.

Value

Results of Score_algorithms_sort() are returned as a vector presenting score values.

Results of Score_algorithms_sort() and Score_algorithms_sort2() are returned as a vector presenting score values.

See Also

Other Algorithm assessment: Assessment_via_cluster(), Getting_Asses_results(), Sampling_via_cluster(), Score_algorithms_interval(), Scoring_system()

Examples

set.seed(1234)
x = runif(10)
result = Score_algorithms_sort(x)

bishun945/FCMm documentation built on Oct. 15, 2021, 6:43 p.m.