Dear All expert ~ we have some data that every 5 minutes generated.  and we want to predict it , we need to use the season local level algorithm. cause our data period is 1 week. therefore ,  12 points in one hour , 288 points in one day , 2016 points in 1 week   when  I try to predict it , some error occur ...   ======================================================================== my source code.. index=traffic TP13G |eval Timestamp = strftime(_time,"%Y/%m/%d %H:%M:%S") |table _time Timestamp Source ip Port Description BW Incoming Outgoing | eval total=Incoming+Outgoing   |timechart span=5m limit=0 avg(total) as total by equipment | fields _time TP13G | timechart span=5m values(TP13G) as CEN_TP13G | predict "CEN_TP13G" as CEN_TP13G_prediction algorithm=LLP holdback=0 future_timespan=2016 period=2016 upper95=upper95 lower95=lower95 | eval isOutlier = if(CEN_TP13G_prediction!="" AND 'CEN_TP13G_prediction' != "" AND ('CEN_TP13G_prediction' < 'lower95(CEN_TP13G_prediction)' OR 'CEN_TP13G_prediction' > 'upper95(CEN_TP13G_prediction)'), "Outlier", "0") | eval check=strftime(_time,"%Y/%m/%d %H:%M:%S") | eval check=strptime(check,"%Y/%m/%d %H:%M:%S") | where check > now()-604800 | fields - check | rename lower95(CEN_TP13G_prediction) as predict_low | rename upper95(CEN_TP13G_prediction) as predict_high | fields + _time CEN_TP13G_prediction , CEN_TP13G isOutlier | eval CEN_TP13G_prediction=round(CEN_TP13G_prediction,3)   ========================================================================== is any way to modify the period 2000 to 2016 ?? thanks for help !!!!! Will Tseng ... View more