Various embodiments are described that relate to an adaptive learning system. The adaptive learning system can be trained by correlation between a first set of raw technical performance data and a set of actual operational effectiveness assessment data. Once trained, the adaptive learning system can be deployed. Once deployed, the adaptive learning system can produce a set of predicted operational effectiveness assessment data from a second set of raw technical performance data that is different from the first set of raw technical performance data.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method, comprising: obtaining a set of raw technical performance data; and predicting, by way of a learning system, a set of predicted operational assessment data based, at least in part, on the set of raw technical performance data, where the learning system is trained from a set of training technical performance data and a set of training operational assessment data. 2. The method of claim 1, where the set of training technical performance data is technical performance data from an initial duration of a test and evaluation event and where the set of technical performance data is technical performance data from a remaining duration of the test and evaluation event. 3. The method of claim 1, where the set of predicted operational assessment data is a prediction of operational score of individual services. 4. The method of claim 1, where the learning system is an adaptive deep learning system. 5. The method of claim 1, where the set of training operational assessment data is human produced. 6. The method of claim 1, where the set of training operational assessment data is produced from mathematical calculation. 7. The method of claim 1, where the learning system is trained prior to predicting the set of predicted operational assessment data and where the learning system is validated after being trained and prior to predicting the set of predicted operational assessment data. 8. The method of claim 1, where the set of training technical performance data is of a first classification and of a second classification and where the set of raw technical performance data is of the first classification and not of the second classification. 9. A computer-implemented method, comprising: accessing a set of raw technical performance data; accessing a set of actual operational effectiveness data; training an adaptive learning system based on a relationship between at least part of the set of raw technical performance data and the set of actual operational effectiveness data. 10. The computer-implemented method of claim 9, comprising: validating the adaptive learning system after the adaptive learning system is trained; and deploying the adaptive learning system after successful validation of the adaptive learning system. 11. The computer-implemented method of claim 10, comprising: dividing the set of raw technical performance data into a first raw part and the second raw part, where training the adaptive learning system based on the relationship between at least part of the set of raw technical performance data and the set of actual operational effectiveness data comprises training the adaptive learning system based on a relationship between the first raw part and the set of actual operational effectiveness data and where validating the adaptive learning system comprises testing the adaptive learning system through observation of a predicted operation effectiveness by use of the second raw part. 12. The computer-implemented method of claim 9, where the adaptive learning system is a deep learning system that employs at least five layers. 13. The computer-implemented method of claim 12, comprising: deploying the adaptive learning system once trained; and further training the adaptive learning system while the adaptive learning system is deployed. 14. The computer-implemented method of claim 13, comprising: collecting a set of actual technical performance data; and making an actual operation effectiveness prediction through use of the set of actual technical performance data by way of the adaptive learning system while the adaptive learning system is deployed. 15. The computer-implemented method of claim 14, where the set of raw technical performance data is from an initial duration of a test and evaluation event and where the set of actual technical performance data is from a remaining duration of the test and evaluation event. 16. The computer-implemented method of claim 9, where the set of raw technical performance data is human produced. 17. The computer-implemented method of claim 16, where the set of actual operational effectiveness data produced from mathematical calculation. 18. The computer-implemented method of claim 9, where the set of actual operational effectiveness data is derived, at least in part, from the set of raw technical performance data. 19. A method, comprising: predicting a first operational score for a first individual service by way of a first service adaptive learning system; predicting a second operational score for a second individual service by way of a second service adaptive learning system that is distinct from the first service adaptive learning system; and predicting an overall operational effectiveness though use of an operational adaptive learning system, where the overall operational effectiveness is based, at least in part, on the first operational score and the second operational score. 20. The method of claim 19, where the first individual service and the second individual service are on the same hierarchical level.