Last updated: 2019-08-31

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Aggregated performances

(Table) All leaner/filter/task combinations ordered by performance.

Taking into account all tasks, learners and filters: Who won?

learner_group task.id filter best
RF NRI Car 3.395836e+01
Ridge-CV NRI No Filter 3.398002e+01
SVM HR-VI Borda 3.425352e+01
SVM VI Car 3.432839e+01
SVM VI Relief 3.447321e+01
SVM VI Borda 3.447795e+01
SVM NRI Info 3.447993e+01
SVM HR-NRI Info 3.456178e+01
SVM HR-VI Info 3.459625e+01
SVM HR-VI Pearson 3.460088e+01
SVM HR-NRI-VI Car 3.460558e+01
SVM VI Info 3.460841e+01
SVM HR-NRI Car 3.460913e+01
SVM HR-NRI-VI Pearson 3.461372e+01
SVM HR-VI MRMR 3.461530e+01
SVM VI PCA 3.461982e+01
SVM HR-NRI-VI PCA 3.461989e+01
SVM HR-NRI-VI MRMR 3.462083e+01
SVM HR-NRI PCA 3.462114e+01
SVM VI No Filter 3.462215e+01
SVM HR-VI No Filter 3.462215e+01
SVM HR-NRI-VI No Filter 3.462215e+01
SVM HR-NRI No Filter 3.462215e+01
SVM HR No Filter 3.462215e+01
SVM HR-VI CMIM 3.462215e+01
SVM HR Pearson 3.462215e+01
SVM HR-NRI-VI CMIM 3.462217e+01
SVM HR MRMR 3.462218e+01
SVM HR-NRI Relief 3.462221e+01
SVM HR-NRI CMIM 3.462244e+01
SVM HR-VI PCA 3.462254e+01
SVM HR Info 3.462257e+01
SVM HR Borda 3.462305e+01
SVM NRI PCA 3.462351e+01
SVM HR CMIM 3.463224e+01
SVM HR PCA 3.463501e+01
SVM VI MRMR 3.463931e+01
SVM HR-VI Car 3.464007e+01
SVM VI Pearson 3.466696e+01
SVM HR-NRI MRMR 3.467168e+01
SVM HR Relief 3.473794e+01
RF HR-NRI-VI Car 3.487906e+01
RF HR-NRI Car 3.624337e+01
SVM HR-NRI-VI Info 3.645960e+01
SVM HR-NRI Pearson 3.661547e+01
RF HR-NRI PCA 3.675564e+01
RF HR-NRI-VI PCA 3.677161e+01
SVM VI CMIM 3.689147e+01
RF NRI Relief 3.694367e+01
RF NRI PCA 3.697707e+01
RF HR-NRI-VI Relief 3.699850e+01
RF HR-NRI-VI CMIM 3.722205e+01
RF HR Info 3.733806e+01
RF NRI CMIM 3.738256e+01
RF HR-NRI CMIM 3.745529e+01
SVM HR Car 3.748511e+01
RF HR-NRI-VI Pearson 3.751241e+01
RF NRI Info 3.758917e+01
RF NRI No Filter 3.760933e+01
RF HR-NRI-VI No Filter 3.766138e+01
RF HR-NRI Relief 3.766880e+01
RF HR-NRI No Filter 3.779608e+01
RF HR-NRI MRMR 3.785355e+01
RF HR-NRI Info 3.788950e+01
RF HR-NRI-VI Info 3.790357e+01
RF NRI MRMR 3.799854e+01
RF HR-NRI-VI MRMR 3.804667e+01
RF HR-NRI-VI Borda 3.807996e+01
RF HR-NRI Borda 3.825948e+01
RF HR Pearson 3.832141e+01
RF NRI Borda 3.836565e+01
RF HR-NRI Pearson 3.847300e+01
SVM HR-NRI-VI Borda 3.848679e+01
SVM HR-NRI Borda 3.852141e+01
RF HR CMIM 3.852776e+01
RF NRI Pearson 3.854429e+01
RF HR MRMR 3.866124e+01
RF VI Borda 3.871599e+01
RF HR Borda 3.900111e+01
RF VI Car 3.904897e+01
RF HR-VI Info 3.947897e+01
RF VI No Filter 3.954081e+01
RF VI Info 3.968470e+01
RF HR-VI No Filter 4.032956e+01
SVM NRI MRMR 4.033104e+01
SVM NRI Car 4.051591e+01
RF HR-VI Relief 4.052704e+01
RF VI CMIM 4.056433e+01
RF HR Car 4.059982e+01
RF VI MRMR 4.062609e+01
SVM NRI No Filter 4.063177e+01
RF VI Pearson 4.065849e+01
SVM NRI Pearson 4.069154e+01
RF HR-VI Borda 4.071297e+01
RF VI Relief 4.074434e+01
Ridge-CV HR-NRI No Filter 4.088308e+01
RF HR-VI MRMR 4.099637e+01
RF HR-VI CMIM 4.101895e+01
RF HR-VI Pearson 4.108956e+01
Ridge-CV HR No Filter 4.113613e+01
RF HR-VI Car 4.144857e+01
RF VI PCA 4.145816e+01
SVM NRI CMIM 4.147648e+01
RF HR Relief 4.149197e+01
SVM NRI Borda 4.165125e+01
RF HR No Filter 4.211367e+01
SVM NRI Relief 4.229983e+01
RF HR-VI PCA 4.279080e+01
SVM HR-VI Relief 4.280473e+01
RF HR PCA 4.377630e+01
SVM HR-NRI-VI Relief 4.628830e+01
Lasso-CV HR No Filter 5.045350e+01
Lasso-CV HR-NRI No Filter 5.085543e+01
Lasso-CV NRI No Filter 5.118365e+01
Lasso-CV HR-NRI-VI No Filter 5.826330e+01
Lasso-CV VI No Filter 5.832904e+01
Lasso-CV HR-VI No Filter 5.832904e+01
Ridge-MBO HR-VI No Filter 5.855500e+01
Ridge-MBO VI No Filter 5.855500e+01
Ridge-MBO HR-NRI-VI No Filter 5.855500e+01
Lasso-MBO HR No Filter 5.855501e+01
Lasso-MBO NRI No Filter 5.855501e+01
Lasso-MBO HR-NRI No Filter 5.855501e+01
Ridge-MBO HR No Filter 5.855501e+01
Ridge-MBO NRI No Filter 5.855501e+01
Ridge-MBO HR-NRI No Filter 5.855501e+01
Lasso-MBO VI No Filter 5.855501e+01
Lasso-MBO HR-VI No Filter 5.855501e+01
Lasso-MBO HR-NRI-VI No Filter 5.855501e+01
Ridge-CV HR-NRI-VI No Filter 5.050256e+07
Ridge-CV HR-VI No Filter 5.503490e+07
Ridge-CV VI No Filter 5.566970e+07

(Table) Best learner/filter/task combination

Learners: On which task and using which filter did every learner score their best result on?

task.id learner.id learner_group filter rmse.test.rmse
defoliation-all-plots-NRI RF Car RF Car 33.95836
defoliation-all-plots-NRI Ridge-CV Ridge-CV No Filter 33.98002
defoliation-all-plots-HR-VI SVM Borda SVM Borda 34.25352
defoliation-all-plots-HR Lasso-CV Lasso-CV No Filter 50.45350
defoliation-all-plots-HR-VI Ridge-MBO Ridge-MBO No Filter 58.55500
defoliation-all-plots-HR Lasso-MBO Lasso-MBO No Filter 58.55501

(Plot) Best learner/filter combs for all tasks

Version Author Date
abd531f pat-s 2019-08-31

(Plot) Best filter combination of each learner vs. no filter


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: /usr/lib64/libopenblaso-r0.3.3.so

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
 [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8    
 [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
 [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C            
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       

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

other attached packages:
[1] ggpubr_0.1.6      ggsci_2.9         ggrepel_0.8.0     ggplot2_3.1.0    
[5] dplyr_0.8.0.1     magrittr_1.5      mlr_2.15.0        ParamHelpers_1.12
[9] tidyselect_0.2.5 

loaded via a namespace (and not attached):
 [1] storr_1.2.1       xfun_0.5          purrr_0.3.0      
 [4] splines_3.5.2     lattice_0.20-38   colorspace_1.4-0 
 [7] htmltools_0.3.6   yaml_2.2.0        survival_2.43-3  
[10] rlang_0.3.4       R.oo_1.22.0       pillar_1.3.1     
[13] txtq_0.1.4        glue_1.3.0        withr_2.1.2      
[16] R.utils_2.8.0     plyr_1.8.4        stringr_1.4.0    
[19] munsell_0.5.0     gtable_0.2.0      workflowr_1.4.0  
[22] R.methodsS3_1.7.1 evaluate_0.13     labeling_0.3     
[25] knitr_1.23        parallelMap_1.4   parallel_3.5.2   
[28] highr_0.7         Rcpp_1.0.0        backports_1.1.3  
[31] scales_1.0.0      filelock_1.0.2    checkmate_1.9.1  
[34] fs_1.2.6          fastmatch_1.1-0   digest_0.6.18    
[37] stringi_1.3.1     BBmisc_1.11       grid_3.5.2       
[40] rprojroot_1.3-2   cli_1.1.0         tools_3.5.2      
[43] base64url_1.4     lazyeval_0.2.1    tibble_2.0.1     
[46] tidyr_0.8.2       crayon_1.3.4      whisker_0.3-2    
[49] pkgconfig_2.0.2   Matrix_1.2-15     data.table_1.12.0
[52] drake_7.5.2       assertthat_0.2.0  rmarkdown_1.13   
[55] R6_2.4.0          igraph_1.2.4      git2r_0.24.0     
[58] compiler_3.5.2