Таблица с алгоритмами на А3

ml_table/ml_table.tex

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+\documentclass{article}
+\usepackage[14pt]{extsizes}
+\usepackage[T2A]{fontenc}
+\usepackage[utf8]{inputenc}
+\usepackage[a3paper, landscape, left=25mm, top=20mm, right=20mm, bottom=20mm, footskip=10mm]{geometry}
+\usepackage{tabularx}
+\usepackage{caption}
+\usepackage{graphicx}
+\usepackage{array}
+
+\renewcommand{\arraystretch}{1.4} % изменяю высоту строки в таблице
+
+\begin{document}
+
+\setcounter{page}{8}
+
+\begin{table}[h!]
+    \centering
+    \caption*{Table 2. Machine learning algorithms comparison.}
+    \footnotesize
+    \begin{tabularx}{\textwidth}{|p{6cm}|X|X|X|X|X|X|X|X|X|X|}
+    \hline
+    \textbf{Article} & \textbf{DT} & \textbf{KNN} & \textbf{SVM} & \textbf{NN} & \textbf{LASSO} & \textbf{RF} & \textbf{PCA-LDA} & \textbf{XGB} & \textbf{GLM} & \textbf{LR} \\
+    \hline
+    Classification of paclitaxel-resistant ovarian cancer cells using holographic flow cytometry through interpretable machine learning~[1] & + & & + & + & + &  &  &  &  & \\
+    \hline
+    Heterogeneity of computational pathomic signature predicts drug resistance and intra-tumor heterogeneity of ovarian cancer~[2] &  &  &  &  & + &  &  &  &  & \\
+    \hline
+    Mitochondria-related chemoradiotherapy resistance genes-based machine learning model associated with immune cell infiltration on the prognosis of esophageal cancer and its value in pan-cancer~[3] &  & + & + & + & + & + &  & + & + & \\
+    \hline
+    Molecular separation-assisted label-free SERS combined with machine learning for nasopharyngeal cancer screening and radiotherapy resistance prediction~[4] &  &  &  &  &  &  & + &  &  & \\
+    \hline
+    A Predictive Model for Initial Platinum-Based Chemotherapy Efficacy in Patients with Postoperative Epithelial Ovarian Cancer Using Tissue-Derived Small Extracellular Vesicles~[5] &  &  &  &  & + &  &  &  &  & + \\
+    \hline
+    Identifying genes associated with resistance to KRAS G12C inhibitors via machine learning methods~[6] & + & + & + &  &  & + &  &  &  & \\
+    \hline
+    \end{tabularx}
+\end{table}
+
+\end{document}