The Factors Considered in predicting project delay section of the Schedule Health page displays factors causing the project delay. Use this information to take preemptive action. CIC uses feature selection, a machine learning concept, to identify the most important features that contributing towards the prediction. Further, given that CIC is trained on your data, certain factors contribute more significantly to predicting project delay than others. Factor highlighted above are those that have contributed most significantly to a project delay.
Click on a factor to view a detailed list of all activities in the project on the Activity Delay Detail PageActivity Delay Detail Page responsible for the impact and severity of delay of this activity.
Notes:
- When new features are added into a prediction model, the delay factors will change based on the importance attributed towards a feature.
- The threshold settings for any of the delay factors can be changed in the CIC Administration application. Contact your CIC administrator to change a threshold setting.