[Retracted] Classification and Prediction of Software Incidents Using Machine Learning Techniques

Table 2

Clusters with higher entropy.

Number	Instance_	Source	Event ID	Task category	Clusters
4	3	Rtop service	1002	Address	Cluster2
5	4	Rtop service	219	−212	Cluster2
9	8	Ending	37	−7	Cluster2
10	9	Ending	37	−7	Cluster2
11	10	Rtop service	37	−7	Cluster2
12	11	Rtop service	37	−7	Cluster2
15	14	Ending	219	−212	Cluster2
20	19	Rtop service	1002	Address	Cluster2
21	20	Rtop service	219	−212	Cluster2
26	25	Rtop service	1002	Address	Cluster2
27	26	Ending	219	−212	Cluster2
31	30	Rtop service	1002	Address	Cluster2
32	31	Software	219	−212	Cluster2
34	33	Rtop service	4621	Event Sys1	Cluster2
37	36	Rtop service	1002	Address	Cluster2
48	47	Software	219	−212	Cluster2
50	49	Need upd	1002	Address	Cluster2
53	52	Microsoft	1002	Address	Cluster2
54	53	Initialization	219	−212	Cluster2
60	59	Software	219	−212	Cluster2
63	62	Application	1000	−100	Cluster2
64	63	Application	1000	−100	Cluster2