From 4d30559bf92eabb5de7f394736b8487420ff9d8e Mon Sep 17 00:00:00 2001 From: coolneng Date: Tue, 10 Nov 2020 23:41:06 +0100 Subject: [PATCH] Add conclusion to summary --- docs/Summary.org | 11 +++++++++++ docs/Summary.pdf | Bin 690020 -> 715693 bytes 2 files changed, 11 insertions(+) diff --git a/docs/Summary.org b/docs/Summary.org index 3e18e2f..69120aa 100644 --- a/docs/Summary.org +++ b/docs/Summary.org @@ -331,4 +331,15 @@ Los resultados que obtenemos son los siguientes: #+CAPTION: Perceptrón multicapa con imputación [[./assets/neuralnet_fill.png]] + +\clearpage + ** Análisis de resultados + +Tras ejecutar todos los algoritmos elegidos, podemos analizar los resultados obtenidos. + +Observamos que la imputación de la media en los valores nulos no es una estrategia que aporte demasiados beneficios, y según ciertas métricas puede ser hasta dañino para nuestro modelo. + +Vemos que nuestros modelos obtienen unos resultados bastante correctos, con un /accuracy score/, /cross validation score/ y /AUC/ en el intervalo $[0.7, 0.82]$. + +Por lo tanto, concluimos que nuestro problema de clasificación es suficientemente genérico para ser resuelto por distintos modelos de aprendizaje, sin variaciones significantes en el rendimientos de éstos. diff --git a/docs/Summary.pdf b/docs/Summary.pdf index 314406502a6cbe450bd4700c9f6fd7d0bc42615e..08f935b4b0f0908c603fb3bbe9fd30eb662a5b6a 100644 GIT binary patch delta 135262 zcmV)3K+C`6jw-F!D}aOngaWh!-_4g%D+DTk?U+k%oG=i8@B9iM;ehM+?)Tf2eQx=5|0#?R{i(24f`T2X(P3la#^q6_BX@Kco5hC1U`C~OYhwWssTn&BaOlG zE072(A%NrxVoty^0W1Hm4hZuj%J4eC$lqqJh=Y(I;51UQ|@L>lEl~Q0`c&kSQ64Q4L5TsgxA8up;m>I$uHUD$4@V?iMe$@5^qr140Bs${?fo zKu=H7+ph!|lThv{($Q^)5(~{vkV*l6LM$NRx|{o{+}3uVDrwCXu)oeCDrgymN^>6u zAvc@<=LOUHl_4jxS%sKOJrIf&_A&Om4!T30HgQsQVouV&j04R4t^KK*Af#l*{x>mO`{5Y?i2-2n_UbeX{~l>Rso>*~do?d3DoK&nnbUvEop3RKvpujC zlWZ61v$YJdbGPx{Vow+lN$8CCfLETjhGSOZswyKy*`}SK9OoNHxX!kP#mq3Djqppp z1NFV{OhTJ)?bmO7UvC|%rvS@NXVWrs&04D24v$eriuirdJn8FhEBC~a~j 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