我想知道下面的宽表是否可以拉伸以适应页面的更大部分。表的大小还可以，但最好再大一点。任何建议都很棒！
\documentclass{article}
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\begin{table}
\caption {\label{tab:Table 4 - MDI recursive prediction} This table demonstrates the MDI classification report for the individual corporate credit rating classes for an ET. Based on the balance between number of features and predictive performance in Table 3, precision, recall, F1 score and support are evaluated on 20 features for U.S. and global NonESG and ESG samples.}
\resizebox{\columnwidth}{!}
{\begin{tabular}{ccccccccccccccccc}
\toprule
{} & {\thead{U.S. NonESG \\ precision}} & {\thead{U.S. NonESG \\ recall}} & {\thead{U.S. NonESG \\ F1 score}} & {\thead{U.S. NonESG \\ support}} & {\thead{U.S ESG \\ precision}} & {\thead{U.S ESG \\ recall}} & {\thead{U.S ESG \\ F1 score}} & {\thead{U.S ESG \\ support}} & {\thead{GL NonESG \\ precision}} & {\thead{GL NonESG \\ recall}} & {\thead{GL NonESG \\ F1 score}} & {\thead{GL NonESG \\ support}} & {\thead{GL ESG \\ precision}} & {\thead{GL ESG \\ recall}} & {\thead{GL ESG \\ F1 score}} & {\thead{GL ESG \\ support}} \\
\midrule\addlinespace
AAA & 0.9766 & 0.9843 & 0.9804 & 127 & 1 & 1 & 1 & 55 & 1 & 1 & 1 & 34 & 1 & 1 & 1 & 27 \\
AA+ & 0.9844 & 0.9403 & 0.9618 & 67 & 0 & 0 & 0 & 0 & 0.9167 & 0.9565 & 0.9362 & 23 & 0.9333 & 0.7778 & 0.8485 & 18 \\
AA & 0.9703 & 0.9729 & 0.9716 & 369 & 1 & 1 & 1 & 148 & 0.9254 & 0.9688 & 0.9466 & 64 & 0.9219 & 0.9833 & 0.9516 & 60 \\
AA- & 0.9543 & 0.9730 & 0.9636 & 408 & 1 & 1 & 1 & 96 & 0.9815 & 0.9578 & 0.9695 & 166 & 1 & 0.9645 & 0.9819 & 169 \\
A+ & 0.9700 & 0.9739 & 0.9719 & 995 & 0.9968 & 1 & 0.9984 & 309 & 0.9804 & 0.9709 & 0.9756 & 309 & 0.9619 & 0.9806 & 0.9712 & 309 \\
A & 0.9696 & 0.9639 & 0.9667 & 1357 & 0.9684 & 0.9629 & 0.9656 & 350 & 0.9463 & 0.9559 & 0.9511 & 295 & 0.9353 & 0.9455 & 0.9403 & 275 \\
A- & 0.9577 & 0.9583 & 0.9580 & 1464 & 0.9790 & 0.9689 & 0.9739 & 482 & 0.9618 & 0.9658 & 0.9638 & 730 & 0.9772 & 0.9646 & 0.9709 & 622 \\
BBB+ & 0.9558 & 0.9663 & 0.9610 & 1901 & 0.9724 & 0.9830 & 0.9776 & 823 & 0.9716 & 0.9716 & 0.9716 & 1090 & 0.9748 & 0.9737 & 0.9743 & 914 \\
BBB & 0.9613 & 0.9582 & 0.9597 & 2438 & 0.9758 & 0.9697 & 0.9727 & 956 & 0.9537 & 0.9683 & 0.9609 & 914 & 0.9674 & 0.9744 & 0.9709 & 821 \\
BBB- & 0.9541 & 0.9508 & 0.9524 & 2031 & 0.9701 & 0.9726 & 0.9714 & 802 & 0.9592 & 0.9613 & 0.9603 & 930 & 0.9708 & 0.9708 & 0.9708 & 754 \\
BB+ & 0.9347 & 0.9474 & 0.9410 & 1406 & 0.9560 & 0.9613 & 0.9587 & 543 & 0.9434 & 0.9488 & 0.9461 & 527 & 0.9504 & 0.9637 & 0.9570 & 358 \\
BB & 0.9597 & 0.9413 & 0.9504 & 1721 & 0.9415 & 0.9489 & 0.9452 & 509 & 0.9667 & 0.8906 & 0.9271 & 521 & 0.9474 & 0.9375 & 0.9424 & 288 \\
BB- & 0.9467 & 0.9554 & 0.9510 & 2397 & 0.9712 & 0.9637 & 0.9674 & 524 & 0.9268 & 0.9552 & 0.9408 & 424 & 0.9474 & 0.9083 & 0.9274 & 218 \\
B+ & 0.9351 & 0.9496 & 0.9423 & 2261 & 0.9728 & 0.9831 & 0.9779 & 473 & 0.9250 & 0.9250 & 0.9250 & 320 & 0.9106 & 0.9412 & 0.9256 & 119 \\
B & 0.9423 & 0.9262 & 0.9342 & 1341 & 0.9490 & 0.9442 & 0.9466 & 197 & 0.9157 & 0.9373 & 0.9264 & 255 & 0.8830 & 0.8925 & 0.8877 & 93 \\
B- & 0.9010 & 0.9151 & 0.9080 & 577 & 0.9655 & 0.8889 & 0.9256 & 63 & 0.9409 & 0.8925 & 0.9161 & 214 & 0.9833 & 0.9365 & 0.9593 & 63 \\
CCC+ & 0.9136 & 0.8627 & 0.8874 & 233 & 0.9730 & 0.9730 & 0.9730 & 37 & 0.7843 & 0.8333 & 0.8081 & 48 & 0.8235 & 0.9333 & 0.8750 & 30 \\
CCC & 0.8701 & 0.7976 & 0.8323 & 84 & 1 & 1 & 1 & 9 & 0.7857 & 0.9429 & 0.8571 & 35 & 0.8235 & 1 & 0.9032 & 14 \\
CCC- & 0.8864 & 0.7800 & 0.8298 & 50 & 1 & 0.9412 & 0.9697 & 17 & 0.9231 & 1 & 0.9600 & 36 & 1 & 1 & 1 & 6 \\
CC & 0.9762 & 0.8200 & 0.8913 & 50 & 1 & 1 & 1 & 11 & 0.9130 & 0.7 & 0.7925 & 30 & 0.875 & 0.7 & 0.7778 & 10 \\
SD & 0.5556 & 0.7143 & 0.6250 & 7 & 0 & 0 & 0 & 0 & 0.9231 & 1 & 0.9600 & 12 & 0.5 & 0.3333 & 0.4 & 3 \\
D & 0.9485 & 0.8846 & 0.9154 & 104 & 1 & 1 & 1 & 4 & 0.8889 & 1 & 0.9412 & 32 & 0.8333 & 0.8333 & 0.8333 & 6 \\
accuracy & 0.9506 & 0.9506 & 0.9506 & 0.9506 & 0.9708 & 0.9708 & 0.9708 & 0.9708 & 0.9518 & 0.9518 & 0.9518 & 0.9518 & 0.9612 & 0.9612 & 0.9612 & 0.9612 \\
macro avg & 0.9284 & 0.9153 & 0.9207 & 21388 & 0.9796 & 0.9731 & 0.9762 & 6408 & 0.9288 & 0.9410 & 0.9334 & 7009 & 0.9145 & 0.9052 & 0.9077 & 5177 \\
weighted avg & 0.9507 & 0.9506 & 0.9506 & 21388 & 0.9708 & 0.9708 & 0.9708 & 6408 & 0.9522 & 0.9518 & 0.9517 & 7009 & 0.9614 & 0.9612 & 0.9611 & 5177 \\
\bottomrule
\end{tabular}}
\end{table}
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\end{document}
答案1
- 重新组织列标题，使列可以变窄
- 使用
S列类型（在siunitx包中定义） - 删除
\resizebox{...}{...}，它使表格几乎无法阅读，而是使用tabular*（\linewidth横向等于\textheight）宽度并将字体大小减小到\small
根据猜测（缺乏有关文档序言的信息），看看以下解决方案是否是您想要的：
\documentclass{article}
\usepackage[margin=25mm]{geometry}
\usepackage{pdflscape}
\usepackage{booktabs, makecell}
\usepackage{siunitx}
\begin{document}
\begin{landscape}
\begin{table}
\caption {\label{tab:Table 4 - MDI recursive prediction} This table demonstrates the MDI classification report for the individual corporate credit rating classes for an ET. Based on the balance between number of features and predictive performance in Table 3, precision, recall, F1 score and support are evaluated on 20 features for U.S. and global NonESG and ESG samples.}
\small
\setlength\tabcolsep{0pt}
\begin{tabular*}{\linewidth}{@{\extracolsep{\fill}}l
*{4}{*{3}{S[table-format=1.4]}S[table-format=4.0]}
}
\toprule
& \multicolumn{4}{c}{\thead{U.S. NonESG}}
& \multicolumn{4}{c}{\thead{U.S. NonESG}}
& \multicolumn{4}{c}{\thead{GL NonESG}}
& \multicolumn{4}{c}{\thead{GL ESG}} \\
\cmidrule(l){2-5}
\cmidrule(l){6-9}
\cmidrule(l){10-13}
\cmidrule(l){14-17}
& {\thead{precision}} & {\thead{recall}} & {\thead{F1 score}} & {\thead{support}}
& {\thead{precision}} & {\thead{recall}} & {\thead{F1 score}} & {\thead{support}}
& {\thead{precision}} & {\thead{recall}} & {\thead{F1 score}} & {\thead{support}}
& {\thead{precision}} & {\thead{recall}} & {\thead{F1 score}} & {\thead{support}}
\\
\midrule
AAA & 0.9766 & 0.9843 & 0.9804 & 127
& 1 & 1 & 1 & 55
& 1 & 1 & 1 & 34
& 1 & 1 & 1 & 27 \\
AA+ & 0.9844 & 0.9403 & 0.9618 & 67
& 0 & 0 & 0 & 0
& 0.9167 & 0.9565 & 0.9362 & 23
& 0.9333 & 0.7778 & 0.8485 & 18 \\
AA & 0.9703 & 0.9729 & 0.9716 & 369
& 1 & 1 & 1 & 148
& 0.9254 & 0.9688 & 0.9466 & 64
& 0.9219 & 0.9833 & 0.9516 & 60 \\
AA- & 0.9543 & 0.9730 & 0.9636 & 408
& 1 & 1 & 1 & 96
& 0.9815 & 0.9578 & 0.9695 & 166
& 1 & 0.9645 & 0.9819 & 169 \\
A+ & 0.9700 & 0.9739 & 0.9719 & 995
& 0.9968 & 1 & 0.9984 & 309
& 0.9804 & 0.9709 & 0.9756 & 309
& 0.9619 & 0.9806 & 0.9712 & 309 \\
A & 0.9696 & 0.9639 & 0.9667 & 1357
& 0.9684 & 0.9629 & 0.9656 & 350
& 0.9463 & 0.9559 & 0.9511 & 295
& 0.9353 & 0.9455 & 0.9403 & 275 \\
A- & 0.9577 & 0.9583 & 0.9580 & 1464
& 0.9790 & 0.9689 & 0.9739 & 482
& 0.9618 & 0.9658 & 0.9638 & 730
& 0.9772 & 0.9646 & 0.9709 & 622 \\
\addlinespace
BBB+
& 0.9558 & 0.9663 & 0.9610 & 1901
& 0.9724 & 0.9830 & 0.9776 & 823
& 0.9716 & 0.9716 & 0.9716 & 1090
& 0.9748 & 0.9737 & 0.9743 & 914 \\
BBB & 0.9613 & 0.9582 & 0.9597 & 2438
& 0.9758 & 0.9697 & 0.9727 & 956
& 0.9537 & 0.9683 & 0.9609 & 914
& 0.9674 & 0.9744 & 0.9709 & 821 \\
BBB-
& 0.9541 & 0.9508 & 0.9524 & 2031
& 0.9701 & 0.9726 & 0.9714 & 802
& 0.9592 & 0.9613 & 0.9603 & 930
& 0.9708 & 0.9708 & 0.9708 & 754 \\
BB+ & 0.9347 & 0.9474 & 0.9410 & 1406
& 0.9560 & 0.9613 & 0.9587 & 543
& 0.9434 & 0.9488 & 0.9461 & 527
& 0.9504 & 0.9637 & 0.9570 & 358 \\
BB & 0.9597 & 0.9413 & 0.9504 & 1721
& 0.9415 & 0.9489 & 0.9452 & 509
& 0.9667 & 0.8906 & 0.9271 & 521
& 0.9474 & 0.9375 & 0.9424 & 288 \\
BB- & 0.9467 & 0.9554 & 0.9510 & 2397
& 0.9712 & 0.9637 & 0.9674 & 524
& 0.9268 & 0.9552 & 0.9408 & 424
& 0.9474 & 0.9083 & 0.9274 & 218 \\
B+ & 0.9351 & 0.9496 & 0.9423 & 2261
& 0.9728 & 0.9831 & 0.9779 & 473
& 0.9250 & 0.9250 & 0.9250 & 320
& 0.9106 & 0.9412 & 0.9256 & 119 \\
B & 0.9423 & 0.9262 & 0.9342 & 1341
& 0.9490 & 0.9442 & 0.9466 & 197
& 0.9157 & 0.9373 & 0.9264 & 255
& 0.8830 & 0.8925 & 0.8877 & 93 \\
B- & 0.9010 & 0.9151 & 0.9080 & 577
& 0.9655 & 0.8889 & 0.9256 & 63
& 0.9409 & 0.8925 & 0.9161 & 214
& 0.9833 & 0.9365 & 0.9593 & 63 \\
\addlinespace
CCC+
& 0.9136 & 0.8627 & 0.8874 & 233
& 0.9730 & 0.9730 & 0.9730 & 37
& 0.7843 & 0.8333 & 0.8081 & 48
& 0.8235 & 0.9333 & 0.8750 & 30 \\
CCC & 0.8701 & 0.7976 & 0.8323 & 84
& 1 & 1 & 1 & 9
& 0.7857 & 0.9429 & 0.8571 & 35
& 0.8235 & 1 & 0.9032 & 14 \\
CCC-
& 0.8864 & 0.7800 & 0.8298 & 50
& 1 & 0.9412 & 0.9697 & 17
& 0.9231 & 1 & 0.9600 & 36
& 1 & 1 & 1 & 6 \\
CC & 0.9762 & 0.8200 & 0.8913 & 50
& 1 & 1 & 1 & 11
& 0.9130 & 0.7 & 0.7925 & 30
& 0.875 & 0.7 & 0.7778 & 10 \\
\addlinespace
SD & 0.5556 & 0.7143 & 0.6250 & 7
& 0 & 0 & 0 & 0
& 0.9231 & 1 & 0.9600 & 12
& 0.5 & 0.3333 & 0.4 & 3 \\
D & 0.9485 & 0.8846 & 0.9154 & 104
& 1 & 1 & 1 & 4
& 0.8889 & 1 & 0.9412 & 32
& 0.8333 & 0.8333 & 0.8333 & 6 \\
\midrule
accuracy
& 0.9506 & 0.9506 & 0.9506 & {0.9506}
& 0.9708 & 0.9708 & 0.9708 & {0.9708}
& 0.9518 & 0.9518 & 0.9518 & {0.9518}
& 0.9612 & 0.9612 & 0.9612 & {0.9612} \\
macro avg
& 0.9284 & 0.9153 & 0.9207 & {21388}
& 0.9796 & 0.9731 & 0.9762 & {6408}
& 0.9288 & 0.9410 & 0.9334 & {7009}
& 0.9145 & 0.9052 & 0.9077 & {5177} \\
weighted avg
& 0.9507 & 0.9506 & 0.9506 & {21388}
& 0.9708 & 0.9708 & 0.9708 & {6408}
& 0.9522 & 0.9518 & 0.9517 & {7009}
& 0.9614 & 0.9612 & 0.9611 & {5177} \\
\bottomrule
\end{tabular*}
\end{table}
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\end{document}
