error in breast_cancer

[ykocaturk]

Uyarı: glm.fit: algorithm did not converge
This happened PipeOp classif.log_reg's $train()Uyarı: glm.fit: fitted probabilities numerically 0 or 1 occurred
This happened PipeOp classif.log_reg's $train()Uyarı: glm.fit: algorithm did not converge
This happened PipeOp classif.log_reg's $train()Uyarı: glm.fit: fitted probabilities numerically 0 or 1 occurred
This happened PipeOp classif.log_reg's $train()Hata: Task 'breast_cancer' has missing values in column(s) 'bare_nuclei.1', 'bare_nuclei.2', 'bare_nuclei.3', 'bare_nuclei.4', 'bare_nuclei.5', 'bare_nuclei.7', 'bare_nuclei.8', 'bare_nuclei.9', 'bare_nuclei.10', but learner 'classif.kknn' does not support this
This happened PipeOp classif.kknn.classif.kknn's $predict()

[be-marc]

Sorry I was a little bit fast. Where does this happen?

[be-marc]

library(mlr3verse)

tasks = tsks(c("breast_cancer", "sonar"))

glrn_rf_tuned = as_learner(ppl("robustify") %>>% auto_tuner(
    tnr("grid_search", resolution = 5),
    lrn("classif.ranger", num.trees = to_tune(200, 500)),
    rsmp("holdout")
))
glrn_rf_tuned$id = "RF"

glrn_stack = as_learner(ppl("robustify") %>>% ppl("stacking",
    lrns(c("classif.rpart", "classif.kknn")),
    lrn("classif.log_reg")
))
glrn_stack$id = "Stack"

learners = c(glrn_rf_tuned, glrn_stack)
bmr = benchmark(benchmark_grid(tasks, learners, rsmp("cv", folds = 3)))

bmr$aggregate(msr("classif.acc"))

[ykocaturk]

error "%>>%" function

R version 4.4.2 (2024-10-31 ucrt)
Platform: x86_64-w64-mingw32/x64
Running under: Windows 10 x64 (build 19045)

[1] crayon_1.5.3 cli_3.6.3 knitr_1.49 rlang_1.1.4
[5] xfun_0.49 data.table_1.16.2 listenv_0.9.1 backports_1.5.0
[9] htmltools_0.5.8.1 paradox_1.0.1 mlr3misc_0.15.1 rmarkdown_2.29
[13] evaluate_1.0.1 fastmap_1.2.0 yaml_2.3.9 palmerpenguins_0.1.1
[17] compiler_4.4.2 codetools_0.2-20 rstudioapi_0.17.1 future_1.34.0
[21] digest_0.6.36 R6_2.5.1 parallelly_1.39.0 parallel_4.4.2
[25] checkmate_2.3.2 uuid_1.2-1 tools_4.4.2 globals_0.16.3
[29] lgr_0.4.4