atlas

Research map / Learning theory and algorithms / Prediction and decision losses

Minimax Classification with 0-1 Loss and Performance Guarantees

NeurIPS 2020 · Learning theory and algorithms › Prediction and decision losses · approach: Consistency of surrogate losses · 5 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use MRC instead of SVMMRC · Mammog.classification error: $.18\,$\raisebox{1.5pt}{$\mathsmaller{\pm}$}$\,.03$ -> $.18\,$\raisebox{1.5pt}{$\mathsmaller{\pm}$}$\,.04$No clear effect
Use MRC instead of SVMMRC · Habermanclassification error: $.26\,$\raisebox{1.5pt}{$\mathsmaller{\pm}$}$\,.04$ -> $.27\,$\raisebox{1.5pt}{$\mathsmaller{\pm}$}$\,.03$Hurt
Use MRC instead of SVMMRC · Indian liv.classification error: $.29\,$\raisebox{1.5pt}{$\mathsmaller{\pm}$}$\,.02$ -> $.29\,$\raisebox{1.5pt}{$\mathsmaller{\pm}$}$\,.01$No clear effect
Use MRC instead of SVMMRC · Diabetesclassification error: $.24\,$\raisebox{1.5pt}{$\mathsmaller{\pm}$}$\,.04$ -> $.26\,$\raisebox{1.5pt}{$\mathsmaller{\pm}$}$\,.03$Hurt
Use MRC instead of KNNMRC · Creditclassification error: $.14\,$\raisebox{1.5pt}{$\mathsmaller{\pm}$}$\,.09$ -> $.15\,$\raisebox{1.5pt}{$\mathsmaller{\pm}$}$\,.18$Mixed
Use MRC instead of KNNMRC · Glassclassification error: $.34\,$\raisebox{1.5pt}{$\mathsmaller{\pm}$}$\,.08$ -> $.36\,$\raisebox{1.5pt}{$\mathsmaller{\pm}$}$\,.08$Hurt

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy