Last updated: 2019-06-30

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Knit directory: 2019-feature-selection/

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Correlation of filter methods

Spearman’s rank correlation is used because rankings are compared.

VI

Filter methods amongst each other

Number of bins of FSelectorRcpp::information.gain()

NRI

HR


R version 3.5.2 (2018-12-20)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: CentOS Linux 7 (Core)

Matrix products: default
BLAS: /opt/R/3.5.2/lib64/R/lib/libRblas.so
LAPACK: /opt/R/3.5.2/lib64/R/lib/libRlapack.so

locale:
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 [3] LC_TIME=en_GB.UTF-8        LC_COLLATE=en_GB.UTF-8    
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[11] LC_MEASUREMENT=en_GB.UTF-8 LC_IDENTIFICATION=C       

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] tidyselect_0.2.5 fs_1.2.6         glue_1.3.0       purrr_0.3.0     
[5] ggcorrplot_0.1.3 ggplot2_3.1.0    tidyr_0.8.2      dplyr_0.8.0.1   

loaded via a namespace (and not attached):
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[13] gtable_0.2.0      pkgconfig_2.0.2   rlang_0.3.4      
[16] igraph_1.2.4      cli_1.1.0         yaml_2.2.0       
[19] xfun_0.5          storr_1.2.1       withr_2.1.2      
[22] stringr_1.4.0     knitr_1.23        rprojroot_1.3-2  
[25] grid_3.5.2        drake_7.4.0.9000  R6_2.4.0         
[28] base64url_1.4     rmarkdown_1.13    reshape2_1.4.3   
[31] magrittr_1.5      whisker_0.3-2     backports_1.1.3  
[34] scales_1.0.0      htmltools_0.3.6   assertthat_0.2.0 
[37] colorspace_1.4-0  labeling_0.3      stringi_1.3.1    
[40] lazyeval_0.2.1    munsell_0.5.0     crayon_1.3.4     
[43] R.oo_1.22.0