Last updated: 2019-09-01
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Knit directory: 2019-feature-selection/
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Overall leaderboard across all settings, sorted descending by performance.
Learner Group | Task | Filter | RMSE |
XGBoost | HR-NRI-VI | No Filter | 33.950 |
RF | NRI | Car | 33.958 |
Ridge-CV | NRI | No Filter | 33.980 |
SVM | HR-VI | Borda | 34.254 |
SVM | VI | Car | 34.328 |
SVM | VI | Relief | 34.473 |
SVM | VI | Borda | 34.478 |
SVM | NRI | Info | 34.480 |
XGBoost | HR-NRI-VI | CMIM | 34.541 |
SVM | HR-NRI | Info | 34.562 |
SVM | HR-VI | Info | 34.596 |
SVM | HR-VI | Pearson | 34.601 |
SVM | HR-NRI-VI | Car | 34.606 |
SVM | VI | Info | 34.608 |
SVM | HR-NRI | Car | 34.609 |
SVM | HR-NRI-VI | Pearson | 34.614 |
SVM | HR-VI | MRMR | 34.615 |
SVM | VI | PCA | 34.620 |
SVM | HR-NRI-VI | PCA | 34.620 |
SVM | HR-NRI-VI | MRMR | 34.621 |
SVM | HR-NRI | PCA | 34.621 |
SVM | VI | No Filter | 34.622 |
SVM | HR-VI | No Filter | 34.622 |
SVM | HR-NRI-VI | No Filter | 34.622 |
SVM | HR-NRI | No Filter | 34.622 |
SVM | HR | No Filter | 34.622 |
SVM | HR-VI | CMIM | 34.622 |
SVM | HR | Pearson | 34.622 |
SVM | HR-NRI-VI | CMIM | 34.622 |
SVM | HR | MRMR | 34.622 |
SVM | HR-NRI | Relief | 34.622 |
SVM | HR-NRI | CMIM | 34.622 |
SVM | HR-VI | PCA | 34.623 |
SVM | HR | Info | 34.623 |
SVM | HR | Borda | 34.623 |
SVM | NRI | PCA | 34.624 |
SVM | HR | CMIM | 34.632 |
SVM | HR | PCA | 34.635 |
SVM | VI | MRMR | 34.639 |
SVM | HR-VI | Car | 34.640 |
SVM | VI | Pearson | 34.667 |
SVM | HR-NRI | MRMR | 34.672 |
XGBoost | HR-NRI | No Filter | 34.681 |
XGBoost | NRI | No Filter | 34.707 |
SVM | HR | Relief | 34.738 |
XGBoost | NRI | CMIM | 34.769 |
RF | HR-NRI-VI | Car | 34.879 |
XGBoost | HR-NRI-VI | Relief | 34.882 |
XGBoost | HR-NRI-VI | Car | 35.056 |
XGBoost | HR-NRI | Relief | 35.263 |
XGBoost | HR-NRI-VI | MRMR | 35.310 |
XGBoost | NRI | MRMR | 35.364 |
XGBoost | HR-NRI | Car | 35.414 |
XGBoost | NRI | Car | 35.418 |
XGBoost | HR-NRI | CMIM | 35.507 |
XGBoost | NRI | Info | 35.743 |
XGBoost | HR-NRI | MRMR | 35.876 |
XGBoost | HR-NRI-VI | Info | 36.163 |
RF | HR-NRI | Car | 36.243 |
XGBoost | HR | CMIM | 36.368 |
SVM | HR-NRI-VI | Info | 36.460 |
SVM | HR-NRI | Pearson | 36.615 |
RF | HR-NRI | PCA | 36.756 |
RF | HR-NRI-VI | PCA | 36.772 |
SVM | VI | CMIM | 36.891 |
RF | NRI | Relief | 36.944 |
XGBoost | HR-NRI | Info | 36.965 |
RF | NRI | PCA | 36.977 |
RF | HR-NRI-VI | Relief | 36.999 |
XGBoost | NRI | Pearson | 37.008 |
RF | HR-NRI-VI | CMIM | 37.222 |
RF | HR | Info | 37.338 |
RF | NRI | CMIM | 37.383 |
RF | HR-NRI | CMIM | 37.455 |
SVM | HR | Car | 37.485 |
RF | HR-NRI-VI | Pearson | 37.512 |
XGBoost | HR | Pearson | 37.568 |
RF | NRI | Info | 37.589 |
RF | NRI | No Filter | 37.609 |
XGBoost | HR-NRI | PCA | 37.616 |
RF | HR-NRI-VI | No Filter | 37.661 |
RF | HR-NRI | Relief | 37.669 |
RF | HR-NRI | No Filter | 37.796 |
RF | HR-NRI | MRMR | 37.854 |
RF | HR-NRI | Info | 37.890 |
RF | HR-NRI-VI | Info | 37.904 |
XGBoost | HR | Car | 37.998 |
RF | NRI | MRMR | 37.999 |
RF | HR-NRI-VI | MRMR | 38.047 |
RF | HR-NRI-VI | Borda | 38.080 |
RF | HR-NRI | Borda | 38.259 |
XGBoost | NRI | PCA | 38.293 |
RF | HR | Pearson | 38.321 |
RF | NRI | Borda | 38.366 |
XGBoost | HR-NRI | Pearson | 38.382 |
RF | HR-NRI | Pearson | 38.473 |
SVM | HR-NRI-VI | Borda | 38.487 |
XGBoost | NRI | Relief | 38.504 |
SVM | HR-NRI | Borda | 38.521 |
RF | HR | CMIM | 38.528 |
RF | NRI | Pearson | 38.544 |
RF | HR | MRMR | 38.661 |
RF | VI | Borda | 38.716 |
XGBoost | HR-NRI-VI | PCA | 38.831 |
RF | HR | Borda | 39.001 |
RF | VI | Car | 39.049 |
RF | HR-VI | Info | 39.479 |
RF | VI | No Filter | 39.541 |
RF | VI | Info | 39.685 |
XGBoost | HR | Info | 39.730 |
XGBoost | HR-NRI-VI | Pearson | 39.890 |
XGBoost | HR-VI | Relief | 39.992 |
RF | HR-VI | No Filter | 40.330 |
SVM | NRI | MRMR | 40.331 |
SVM | NRI | Car | 40.516 |
RF | HR-VI | Relief | 40.527 |
RF | VI | CMIM | 40.564 |
XGBoost | VI | Car | 40.596 |
RF | HR | Car | 40.600 |
RF | VI | MRMR | 40.626 |
SVM | NRI | No Filter | 40.632 |
RF | VI | Pearson | 40.658 |
SVM | NRI | Pearson | 40.692 |
RF | HR-VI | Borda | 40.713 |
XGBoost | VI | No Filter | 40.718 |
RF | VI | Relief | 40.744 |
Ridge-CV | HR-NRI | No Filter | 40.883 |
RF | HR-VI | MRMR | 40.996 |
RF | HR-VI | CMIM | 41.019 |
RF | HR-VI | Pearson | 41.090 |
XGBoost | HR-VI | PCA | 41.125 |
Ridge-CV | HR | No Filter | 41.136 |
XGBoost | HR-VI | Pearson | 41.196 |
XGBoost | VI | Info | 41.237 |
XGBoost | VI | Pearson | 41.321 |
XGBoost | HR | MRMR | 41.350 |
RF | HR-VI | Car | 41.449 |
RF | VI | PCA | 41.458 |
SVM | NRI | CMIM | 41.476 |
RF | HR | Relief | 41.492 |
XGBoost | VI | CMIM | 41.528 |
XGBoost | HR-VI | No Filter | 41.563 |
SVM | NRI | Borda | 41.651 |
XGBoost | VI | PCA | 41.790 |
XGBoost | VI | Relief | 41.860 |
XGBoost | VI | MRMR | 41.914 |
XGBoost | HR-VI | Info | 41.953 |
XGBoost | HR-VI | MRMR | 41.962 |
RF | HR | No Filter | 42.114 |
XGBoost | HR | Relief | 42.127 |
SVM | NRI | Relief | 42.300 |
RF | HR-VI | PCA | 42.791 |
SVM | HR-VI | Relief | 42.805 |
XGBoost | HR-VI | CMIM | 42.912 |
RF | HR | PCA | 43.776 |
XGBoost | HR | No Filter | 43.898 |
XGBoost | HR-VI | Car | 44.434 |
XGBoost | HR | PCA | 45.335 |
SVM | HR-NRI-VI | Relief | 46.288 |
Lasso-CV | HR | No Filter | 50.453 |
Lasso-CV | HR-NRI | No Filter | 50.855 |
Lasso-CV | NRI | No Filter | 51.184 |
Lasso-CV | HR-NRI-VI | No Filter | 58.263 |
Lasso-CV | VI | No Filter | 58.329 |
Lasso-CV | HR-VI | No Filter | 58.329 |
Ridge-MBO | HR-VI | No Filter | 58.555 |
Ridge-MBO | VI | No Filter | 58.555 |
Ridge-MBO | HR-NRI-VI | No Filter | 58.555 |
Lasso-MBO | HR | No Filter | 58.555 |
Lasso-MBO | NRI | No Filter | 58.555 |
Lasso-MBO | HR-NRI | No Filter | 58.555 |
Ridge-MBO | HR | No Filter | 58.555 |
Ridge-MBO | NRI | No Filter | 58.555 |
Ridge-MBO | HR-NRI | No Filter | 58.555 |
Lasso-MBO | VI | No Filter | 58.555 |
Lasso-MBO | HR-VI | No Filter | 58.555 |
Lasso-MBO | HR-NRI-VI | No Filter | 58.555 |
Ridge-CV | HR-NRI-VI | No Filter | 50502559.642 |
Ridge-CV | HR-VI | No Filter | 55034896.733 |
Ridge-CV | VI | No Filter | 55669702.590 |
Learners: On which task and using which filter did every learner score their best result on?
-CV: L2 penalized regression using the internal 10-fold CV tuning of the glmnet
package -MBO: L2 penalized regression using using MBO for hyperparameter optimization.
Task | Learner Group | Filter | RMSE |
defoliation-all-plots-HR-NRI-VI | XGBoost | No Filter | 33.950 |
defoliation-all-plots-NRI | RF | Car | 33.958 |
defoliation-all-plots-NRI | Ridge-CV | No Filter | 33.980 |
defoliation-all-plots-HR-VI | SVM | Borda | 34.254 |
defoliation-all-plots-HR | Lasso-CV | No Filter | 50.453 |
defoliation-all-plots-HR-VI | Ridge-MBO | No Filter | 58.555 |
defoliation-all-plots-HR | Lasso-MBO | No Filter | 58.555 |
Showing the final effect of applying feature selection to a learner for each task. The more left a certain filter appears for a given task compared to the purple dot (No Filter), the higher the effectivity of applying feature selection for that given learner on the given task.
Version | Author | Date |
---|---|---|
8e7e4fe | pat-s | 2019-09-01 |
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] xtable_1.8-3 flextable_0.5.5 ggbeeswarm_0.7.0
[4] ggpubr_0.1.6 ggsci_2.9 ggrepel_0.8.0
[7] ggplot2_3.1.0 dplyr_0.8.0.1 magrittr_1.5
[10] mlr_2.15.0 ParamHelpers_1.12 tidyselect_0.2.5
loaded via a namespace (and not attached):
[1] Rcpp_1.0.0 txtq_0.1.4 lattice_0.20-38
[4] tidyr_0.8.2 assertthat_0.2.0 rprojroot_1.3-2
[7] digest_0.6.18 R6_2.4.0 plyr_1.8.4
[10] backports_1.1.3 drake_7.5.2 evaluate_0.13
[13] pillar_1.3.1 gdtools_0.1.7 rlang_0.3.4
[16] lazyeval_0.2.1 uuid_0.1-2 data.table_1.12.0
[19] whisker_0.3-2 R.utils_2.8.0 R.oo_1.22.0
[22] Matrix_1.2-15 checkmate_1.9.1 rmarkdown_1.13
[25] labeling_0.3 splines_3.5.2 stringr_1.4.0
[28] igraph_1.2.4 munsell_0.5.0 compiler_3.5.2
[31] vipor_0.4.5 xfun_0.5 pkgconfig_2.0.2
[34] base64enc_0.1-3 BBmisc_1.11 htmltools_0.3.6
[37] tibble_2.0.1 workflowr_1.4.0 crayon_1.3.4
[40] withr_2.1.2 R.methodsS3_1.7.1 grid_3.5.2
[43] gtable_0.2.0 git2r_0.24.0 storr_1.2.1
[46] scales_1.0.0 zip_2.0.0 cli_1.1.0
[49] stringi_1.3.1 fs_1.2.6 parallelMap_1.4
[52] xml2_1.2.0 filelock_1.0.2 fastmatch_1.1-0
[55] tools_3.5.2 glue_1.3.0 beeswarm_0.2.3
[58] officer_0.3.5 purrr_0.3.0 parallel_3.5.2
[61] survival_2.43-3 yaml_2.2.0 colorspace_1.4-0
[64] base64url_1.4 knitr_1.23