<p>Statistical indicators of accuracy for calibration models over the identified sensor clusters. 95% confidence intervals are shown in paranthesis. CI is estimated by resampling 1000 times the calibrated daily PM2.5 values for each station for the whole year, then calculating the statistical indicators for each sample and extracting the 2.5% and 97.5% quantile values from the obtained distribution.</p>

Statistical indicators of accuracy for calibration models over the identified sensor clusters. 95% confidence intervals are shown in paranthesis. CI is estimated by resampling 1000 times the calibrated daily PM2.5 values for each station for the whole year, then calculating the statistical indicators for each sample and extracting the 2.5% and 97.5% quantile values from the obtained distribution.本数据集包含已识别传感器集群下校准模型的精度统计指标，其中95%置信区间以括号形式标注。置信区间（Confidence Interval, CI）的估算方法为：对各站点全年经校准的每日细颗粒物（PM2.5）值开展1000次重采样，随后针对每个重采样样本计算统计指标，并从所得分布中提取2.5%与97.5%分位数。