15:[["$","title","0",{"children":"```mermaid\ngraph TD\n subgraph Stage1 [阶段1: 数据收集与预处理]\n ... | SciDraw Gallery"}],["$","meta","1",{"name":"description","content":"```mermaid\ngraph TD\n subgraph Stage1 [阶段1: 数据收集与预处理]\n A[数据收集
材料数据表1 & VOCs数据表2] --> B[输入特征]\n B --> B1[材料特征
比表面积, 孔径, 疏水性, 极性]\n B --> B2[VOCs特征
分子量, logP, 分子直径, OAV值]\n B --> C[输出特征
吸附匹配得分]\n C --> D[数据预处理]\n D --> D1[清洗数值列
填充缺失值]\n D1 --> D2[过滤有效VOCs
OAV值 > 0]\n D2 --> D3[特征工程
基于吸附理论计算匹配得分]\n end\n\n subgraph Stage2 [阶段2: 模型训练与评估]\n D3 --> E[数据集划分]\n E --> E1[80% 训练集]\n E --> E2[20% 测试集]\n E1 --> F[特征标准化
(仅用于SVM和线性回归)]\n F --> G[机器学习模型]\n G --> G1[XGBoost]\n G --> G2[SVM]\n G --> G3[随机森林]\n G --> G4[线性回归]\n G1 --> H[训练与评估]\n G2 --> H\n G3 --> H\n G4 --> H\n H --> H1[5折交叉验证
(计算R²的均值和标准差)]\n H1 --> H2[计算评估指标
训练集R², 测试集R², RMSE, MAE]\n H2 --> I[模型性能比较]\n I --> I1[按测试集R²排序]\n I1 --> J[最优模型选择
(基于测试集R²或交叉验证性能)]\n end\n\n subgraph Stage3 [阶段3: 特征重要性分析与优化指导]\n J --> K[可解释性分析]\n```"}],["$","link","2",{"rel":"manifest","href":"https://sci-draw.com/manifest.webmanifest","crossOrigin":"$undefined"}],["$","meta","3",{"name":"keywords","content":"ai for figure generation,AI scientific illustration generator,scientific data visualization,scientific illustration tool,create graphical abstract,graphical abstract maker,ai scientific figure generator,scientific figure maker,BioRender alternative,TOC graphics generator,publication-ready figures,SVG vector illustration"}],["$","link","4",{"rel":"canonical","href":"https://sci-draw.com/zh/gallery/gal_1772606379088_uivz7sm"}],["$","link","5",{"rel":"alternate","hrefLang":"en","href":"https://sci-draw.com/gallery/gal_1772606379088_uivz7sm"}],["$","link","6",{"rel":"alternate","hrefLang":"zh-CN","href":"https://sci-draw.com/zh/gallery/gal_1772606379088_uivz7sm"}],["$","link","7",{"rel":"alternate","hrefLang":"ja","href":"https://sci-draw.com/ja/gallery/gal_1772606379088_uivz7sm"}],["$","link","8",{"rel":"alternate","hrefLang":"ko","href":"https://sci-draw.com/ko/gallery/gal_1772606379088_uivz7sm"}],["$","link","9",{"rel":"alternate","hrefLang":"de","href":"https://sci-draw.com/de/gallery/gal_1772606379088_uivz7sm"}],["$","link","10",{"rel":"alternate","hrefLang":"fr","href":"https://sci-draw.com/fr/gallery/gal_1772606379088_uivz7sm"}],["$","link","11",{"rel":"alternate","hrefLang":"es","href":"https://sci-draw.com/es/gallery/gal_1772606379088_uivz7sm"}],["$","link","12",{"rel":"alternate","hrefLang":"pt-BR","href":"https://sci-draw.com/pt-BR/gallery/gal_1772606379088_uivz7sm"}],["$","link","13",{"rel":"alternate","hrefLang":"zh-TW","href":"https://sci-draw.com/zh-TW/gallery/gal_1772606379088_uivz7sm"}],["$","link","14",{"rel":"alternate","hrefLang":"it","href":"https://sci-draw.com/it/gallery/gal_1772606379088_uivz7sm"}],["$","link","15",{"rel":"alternate","hrefLang":"ru","href":"https://sci-draw.com/ru/gallery/gal_1772606379088_uivz7sm"}],["$","meta","16",{"property":"og:title","content":"```mermaid\ngraph TD\n subgraph Stage1 [阶段1: 数据收集与预处理]\n ... | SciDraw Gallery"}],["$","meta","17",{"property":"og:description","content":"```mermaid\ngraph TD\n subgraph Stage1 [阶段1: 数据收集与预处理]\n A[数据收集
材料数据表1 & VOCs数据表2] --> B[输入特征]\n B --> B1[材料特征
比表面积, 孔径, 疏水性, 极性]\n B --> B2[VOCs特征
分子量, logP, 分子直径, OAV值]\n B --> C[输出特征
吸附匹配得分]\n C --> D[数据预处理]\n D --> D1[清洗数值列
填充缺失值]\n D1 --> D2[过滤有效VOCs
OAV值 > 0]\n D2 --> D3[特征工程
基于吸附理论计算匹配得分]\n end\n\n subgraph Stage2 [阶段2: 模型训练与评估]\n D3 --> E[数据集划分]\n E --> E1[80% 训练集]\n E --> E2[20% 测试集]\n E1 --> F[特征标准化
(仅用于SVM和线性回归)]\n F --> G[机器学习模型]\n G --> G1[XGBoost]\n G --> G2[SVM]\n G --> G3[随机森林]\n G --> G4[线性回归]\n G1 --> H[训练与评估]\n G2 --> H\n G3 --> H\n G4 --> H\n H --> H1[5折交叉验证
(计算R²的均值和标准差)]\n H1 --> H2[计算评估指标
训练集R², 测试集R², RMSE, MAE]\n H2 --> I[模型性能比较]\n I --> I1[按测试集R²排序]\n I1 --> J[最优模型选择
(基于测试集R²或交叉验证性能)]\n end\n\n subgraph Stage3 [阶段3: 特征重要性分析与优化指导]\n J --> K[可解释性分析]\n```"}],"$L24","$L25","$L26","$L27","$L28","$L29","$L2a","$L2b","$L2c","$L2d","$L2e","$L2f","$L30","$L31"]