Update slides-tuning-practical.tex

[mfeurer]

Replace grid search by random search in the recommendations.

[github-actions]

Lecture Slide Status Overview

2024-04-24 09:17:29 CEST

• lecture_i2ml
  • cart
  • evaluation
  • forests
  • knn
  • ml-basics
  • ml-philosophy
  • nested-resampling
  • neural-networks
  • supervised-classification
  • supervised-regression
  • tuning

This is a reduced version of the full status check rendered for each
lecture repository.
It does not link to rendered PDF files and only produces markdown
tables, which allows it to be appended to a pull request. It serves as a
rough check to ensure that the PR does not cause major breakage.

Branch	Last Commit	By	Message
main	2024-04-10 12:25:02	Lukas Burk	Makefile tweaks

Status of the lecture_service repo (time in UTC)

Lecture	Branch	Last Commit	By	Message
lecture_i2ml	?	2024-04-24 07:10:10	GitHub	Merge 1bf8dd0 into 71be210

Latest commits per lecture (times in UTC)

lecture_i2ml

11 topics with a total of 67 slides

compile_check	n
✅	67

compile_check	compare_check	n
✅		3
✅	✅	62
✅	❓	2

cart

Slide	Compiles?	Comparison	Note
slides-cart-computationalaspects	✅	✅
slides-cart-discussion	✅	✅
slides-cart-nutshell	✅	✅
slides-cart-predictions	✅	✅
slides-cart-splitcriteria-classification	✅	✅
slides-cart-splitcriteria-regression	✅	✅
slides-cart-stoppingpruning	✅	✅
slides-cart-treegrowing	✅	✅

evaluation

Slide	Compiles?	Comparison	Note
slides-evaluation-auc-mwu	✅	✅
slides-evaluation-generr	✅	✅
slides-evaluation-mcauc	✅	✅
slides-evaluation-measures-classification	✅	✅
slides-evaluation-measures-regression	✅	✅
slides-evaluation-nutshell	✅	✅
slides-evaluation-overfitting-underfitting	✅	✅
slides-evaluation-partialauc	✅	✅
slides-evaluation-prcurves	✅	✅
slides-evaluation-resampling-1	✅	✅
slides-evaluation-resampling-2	✅	❓	Dissimilar pages: 8
slides-evaluation-rocbasics	✅	✅
slides-evaluation-roccurves	✅	✅
slides-evaluation-test	✅	✅
slides-evaluation-train	✅	✅

forests

Slide	Compiles?	Comparison	Note
slides-forests-bagging	✅	✅
slides-forests-benchmark	✅	✅
slides-forests-discussion	✅	✅
slides-forests-featureimportance	✅	✅
slides-forests-intro	✅	✅
slides-forests-nutshell	✅	✅
slides-forests-proximities	✅	✅

knn

Slide	Compiles?	Comparison	Note
slides-knn	✅	✅

ml-basics

Slide	Compiles?	Comparison	Note
slides-basics-data	✅	✅
slides-basics-learner	✅	✅
slides-basics-learnercomponents-hro	✅	✅
slides-basics-models-parameters	✅	✅
slides-basics-nutshell	✅	✅
slides-basics-optimization	✅	✅
slides-basics-riskminimization	✅	✅
slides-basics-task	✅	✅
slides-basics-whatisml	✅	✅

ml-philosophy

Slide	Compiles?	Comparison	Note
slides-mlphilo-2cultures	✅		No reference PDF
slides-mlphilo-blackboxes	✅	✅
slides-mlphilo-computerscience	✅		No reference PDF
slides-mlphilo-ontology	✅		No reference PDF

nested-resampling

Slide	Compiles?	Comparison	Note
slides-nested-nestedintro	✅	✅
slides-nested-nestedresampling	✅	✅
slides-nested-trainvalidtest	✅	✅

neural-networks

Slide	Compiles?	Comparison	Note
slides-nn-nutshell	✅	✅

supervised-classification

Slide	Compiles?	Comparison	Note
slides-classification-basicdefs	✅	✅
slides-classification-discranalysis	✅	✅
slides-classification-linear	✅	✅
slides-classification-logistic	✅	✅
slides-classification-naivebayes	✅	✅
slides-classification-nutshell	✅	✅
slides-classification-tasks	✅	✅

supervised-regression

Slide	Compiles?	Comparison	Note
slides-regression-deepdive-ols	✅	✅
slides-regression-linearmodel-l1	✅	✅
slides-regression-linearmodel-l2	✅	✅
slides-regression-nutshell	✅	✅
slides-regression-polynomials	✅	✅

tuning

Slide	Compiles?	Comparison	Note
slides-tuning-advanced	✅	✅
slides-tuning-basicalgos	✅	✅
slides-tuning-intro	✅	✅
slides-tuning-nutshell	✅	✅
slides-tuning-pipelines	✅	✅
slides-tuning-practical	✅	❓	Dissimilar pages: 6
slides-tuning-tuningproblem	✅	✅

[ludwigbothmann]

Before merging this, the PDF should be rendered and put into slides-pdf.