meanR.Results: Average of results for all active users.

In GACFF: Genetic Similarity in User-Based Collaborative Filtering

Description

Average of MAE and elapsed time for all active users.

Usage

meanR.Results(obj_Results)

Arguments

obj_Results

An object of class "Results".

Details

Due to the difference in the results of each active user, the average of all active users is calculated.

Value

An object of class "meanR.Results", a list with components:

call	The call used.
mean_MAE_Pearson	Average of MAE obtained from the "Pearson" method for all active users.
mean_MAE_NewKNN	Average of MAE obtained from the "NewKNN" method for all active users.
mean_MAE_Genetic	Average of MAE obtained from the "Genetic" method for all active users.
diff_MAE_GA_Pearson	The difference of MAE in the "Pearson" method and "Genetic" algorithm.
mean_Time_Pearson	Average of the elapsed time of the "Pearson" method for all active users.
mean_Time_NewKNN	Average of the elapsed time of the "NewKNN" method for all active users.
mean_Time_GA	Average of the elapsed time of the "Genetic" method for all active users.

Examples

ratings <- matrix(c(  2,    5,  NaN,  NaN,  NaN,    4,
                    NaN,  NaN,  NaN,    1,  NaN,    5,
                    NaN,    4,    5,  NaN,    4,  NaN,
                      4,  NaN,  NaN,    5,  NaN,  NaN,
                      5,  NaN,    2,  NaN,  NaN,  NaN,
                    NaN,    1,  NaN,    4,    2,  NaN),nrow=6,byrow=TRUE)

active_users <- c(1:dim(ratings)[2])

Results.out <- Results(ratings, active_users, Threshold_KNN=4, max_scour=5, 
                     min_scour=1, PopSize=100, MaxIteration=50, 
                     CrossPercent=70, MutatPercent=20)
                     
meanR.Results.out <- meanR.Results (obj_Results=Results.out)

GACFF documentation built on Dec. 20, 2019, 5:07 p.m.