Results of the PTDA for time series (TS) of 20 to 100 time points.

The mean (M) and the standard deviation (SD) of the transition points (TP) of the 300 simulated time series are given along with further indicators of the performance: the precision (Prec.), which gives the rate of identifying a TP within +/- 5 time points around the real TP, and the rates of false negative (FN) and false positive (FP) results.

本数据集提供了300条模拟时间序列的转变点（transition points, TP）的均值（mean, M）与标准差（standard deviation, SD），并一并给出了模型性能的其余评估指标：精确率（Prec.，即于真实转变点±5个时间点范围内成功识别出转变点的比率）、假阴性（false negative, FN）比率与假阳性（false positive, FP）比率。