Patent ID: 11962333
Assignee: HONG KONG APPLIED SCIENCE AND TECHNOLOGY RESEARCH INSTITUTE CO., LTD
Field: Basic communication processes (Electrical engineering)
Classification: CPC H  G | IPC H

Claim 5:
6. The data-compression analyzer of claim 4 wherein the ROC tabulator receives a vertical threshold that indicates a compression ratio, wherein training data blocks with the compression ratio greater than the vertical threshold are considered to be non-compressible, and wherein training data blocks with the compression ratio less than the vertical threshold are considered to be compressible;
the ROC tabulator testing a plurality of test values of the horizontal threshold, the test values of the horizontal threshold being compared to the plurality of CV*NZ products, wherein a training data block having a CV*NZ product that is greater than the test value of the horizontal threshold is considered to be predicted compressible and a training data block having a CV*NZ product that is less than the test value of the horizontal threshold is considered to be predicted non-compressible;
wherein the ROC tabulator tabulates a ROC curve wherein each point on the ROC curve is for a different one of the test values of the horizontal threshold, wherein the ROC tabulator tabulates true positives for predicted non-compressible training data blocks that are considered non-compressible, true negatives for predicted compressible training data blocks that are considered compressible, false positives for predicted compressible training data blocks that are considered non-compressible, and false negatives for predicted non-compressible training data blocks that are considered compressible;
wherein the ROC tabulator tabulates a true positive rate as a function of a false positive rate for each of the plurality of test values of the horizontal threshold to determine points on the ROC curve;
wherein the true positive rate is calculated by dividing the true positives by a sum of the true positives and the false negatives;
wherein the false positive rate is calculated by dividing the false positives by a sum of the false positives and the true negatives.