From 30cf2d22804a3cdaeff4aa3f07552b029c1f215c Mon Sep 17 00:00:00 2001 From: Arity-T Date: Sun, 3 Nov 2024 20:36:43 +0300 Subject: [PATCH] =?UTF-8?q?=D0=9C=D0=B5=D0=BD=D1=8C=D1=88=D0=B5=20=D1=88?= =?UTF-8?q?=D1=80=D0=B8=D1=84=D1=82=20=D0=B2=20ml=5Ftable?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- ml_table/ml_table.tex | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ml_table/ml_table.tex b/ml_table/ml_table.tex index 875a214..8a06ed1 100644 --- a/ml_table/ml_table.tex +++ b/ml_table/ml_table.tex @@ -16,7 +16,7 @@ \begin{table}[h!] \centering - \caption*{Table 2. Machine learning algorithms comparison. Algorithms: Decision Tree (DT), K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Neural Network (NN), Least Absolute Shrinkage and Selection Operator (LASSO), Random Forest (RF), Principal Component Analysis - Linear Discriminant Analysis (PCA-LDA), eXtreme Gradient Boosting (XGB), Generalized Linear Model (GLM), Linear Regression (LR), Cox Regression based algorithms including stepwise Cox, Coxboost, plsRcox (Cox), Supervised Principal Components (SuperPC), Elastic Network (Enet), Gradient Boosting Machine (GBM).} + \caption*{\small Table 2. Machine learning algorithms comparison. Algorithms: Decision Tree (DT), K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Neural Network (NN), Least Absolute Shrinkage and Selection Operator (LASSO), Random Forest (RF), Principal Component Analysis - Linear Discriminant Analysis (PCA-LDA), eXtreme Gradient Boosting (XGB), Generalized Linear Model (GLM), Linear Regression (LR), Cox Regression based algorithms including stepwise Cox, Coxboost, plsRcox (Cox), Supervised Principal Components (SuperPC), Elastic Network (Enet), Gradient Boosting Machine (GBM).} \footnotesize \begin{tabularx}{\textwidth}{|p{9cm}|X|X|X|X|X|X|X|X|X|X|X|X|X|X|} \hline