From 81a06c74a562fa098122b7b03dcc8c3ed7e9c3bc Mon Sep 17 00:00:00 2001 From: Annkathrin Date: Thu, 19 Aug 2021 14:20:17 +0200 Subject: [PATCH] update --- IBC.log | 17 ++++++++++------- IBC.pdf | Bin 124882 -> 125391 bytes IBC.tex | 10 ++++++---- 3 files changed, 16 insertions(+), 11 deletions(-) diff --git a/IBC.log b/IBC.log index a455cef..f1bb10c 100644 --- a/IBC.log +++ b/IBC.log @@ -1,4 +1,4 @@ -This is LuaHBTeX, Version 1.13.0 (TeX Live 2021) (format=lualatex 2021.8.7) 12 AUG 2021 11:58 +This is LuaHBTeX, Version 1.13.0 (TeX Live 2021) (format=lualatex 2021.8.7) 19 AUG 2021 00:49 restricted system commands enabled. **IBC.tex (./IBC.tex @@ -1040,20 +1040,23 @@ LaTeX Font Info: Font shape `TU/lmtt/bx/n' in size <10> not available ] [16 -] [17 +] +Overfull \vbox (30.55852pt too high) detected at line 182 + [] + +[17 ] File: Ergebnis_ibc.png Graphic file (type png) -Package luatex.def Info: Ergebnis_ibc.png used on input line 190. +Package luatex.def Info: Ergebnis_ibc.png used on input line 192. (luatex.def) Requested size: 196.9356pt x 177.4227pt. [18 <./Ergebnis_ibc.png>] [19 -] -[20 +] [20 ] \tf@nav=\write6 @@ -1077,7 +1080,7 @@ Here is how much of LuaTeX's memory you used: 38 hlist, 7 vlist, 2 rule, 6 local_par, 111 glue, 10 kern, 27 penalty, 302 gl yph, 79 attribute, 61 glue_spec, 79 attribute_list, 4 write, 32 pdf_colorstack n odes - avail lists: 2:284,3:147,4:250,5:64,6:61,7:2144,8:50,9:243,10:12,11:6 + avail lists: 2:284,3:148,4:250,5:64,6:61,7:2642,8:50,9:246,10:12,11:6 41767 multiletter control sequences out of 65536+600000 64 fonts using 5902119 bytes 131i,11n,125p,406b,435s stack positions out of 5000i,500n,10000p,200000b,80000s @@ -1086,7 +1089,7 @@ odes f> -Output written on IBC.pdf (20 pages, 124882 bytes). +Output written on IBC.pdf (20 pages, 125391 bytes). 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Representation Bias: fehlende Diversität race, gender, neurdiversity, disability, health, scars \item Aggregation Bias: s. representation bias, teilweiser Versuch der Gegensteuerung \item Sampling Bias: ungleiche Datenmengen -\item Overfitting -\item ... +\item Overfitting: 73 Prozent in Testdaten vs 93 Prozent in Trainingsdaten, das impliziert Overfitting ist wahrscheinlich +\item Historical Bias: höhere Wahrscheinlichkeit zB des Drogenschmuggels bestimmter Gruppen (trifft erst bei Benutzung zu, weil Testdaten zu klein) +\item Algorythmischer Bias: zu wenig Einblick +\item Evaluations Bias: Testbedingungen entsprechen nicht den Einsatzbedingungen, zB Licht, Diversität +\item Bias durch Rückkopplung: \end{itemize} \end{frame}