Event Forecasting in Organizational Networks: A Discrete Dynamical System Approach

Table 1

Aggregated statistics of all 3000 iterations containing the performance summaries.

		Window size (w)
		24 weeks	16 weeks	8 weeks	Mean
Prediction accuracy (p)	Mean	0.921686354	0.931958548	0.949848035	0.934497646
	Standard deviation	0.07902513	0.070020294	0.055008128	0.069691226
Test datasets	Mean	764.574	1037.199	1803.051	1201.608
	Standard deviation	522.7018804	518.247742	504.0115992	677.0649846
Training datasets	Mean	2630.994	3585.465	6395.766	4204.075
	Standard deviation	1253.492722	1250.125901	1209.467827	2021.314064
Test dataset’s output class ratio (R)	Mean	0.150971114	0.161718625	0.203974741	0.172221493
	Standard deviation	0.204860337	0.195071601	0.217236464	0.207121714
Training dataset’s output class ratio (R)	Mean	0.253346286	0.196331516	0.120270274	0.189982692
	Standard deviation	0.202898991	0.177215054	0.130040023	0.181054278