**Appendix A. Training Progress Detailed Results**

### **Gamma Distn Search Maximum Acurracy Detail**

—————-epoch————–(step: 0 ) gamma-bounds: [[1.e-04 5.e-01]]"' gaussian-bounds: [[1.e-04 5.e-01]] grid-bounds: [[1.e-04 5.e-01]] Gamma Best- acc: [0.9564] lr: [0.15058182] index: 3 Gaussian Best- acc: [0.9575] lr: [0.20195701] index: 3 grid-acc: [0.9562] lr: [0.110078] grid-counts: 100 grid-time: 1525.9515149593353 second gamma gaussian: 320.44497871398926 seconds — ————————-Gamma———————— accuracy: 0.99128 confusion: 4545.6265772727265 precision: 0.9561963371512057 recall: 0.9560669819496841 mcc: 0.9512168890174788 sensitivity: 0.9560669819496841 specificity: 0.9951604430746006 ————————-Gaussian——————— accuracy: 0.9914999999999999 confusion: 4545.906891110488 precision: 0.9573654579832793 recall: 0.9573670489406423 mcc: 0.9525345363214628 sensitivity: 0.9573670489406423 specificity: 0.9952837099770188 ————————-Grid———————— accuracy: 0.99124 confusion: 4545.906947140898 precision: 0.956117721154721 recall: 0.9558912053696996 mcc: 0.9510239135134221 sensitivity: 0.9558912053696996 specificity: 0.9951402792741156 —————-epoch————–(step: 1 ) gamma-bounds: [[0.06023273 0.21081454]] gaussian-bounds: [[0.0807828 0.28273981]] grid-bounds: [[0.0440312 0.1541092]] Gamma Best- acc: [0.9836] lr: [0.06023273] index: 0 Gaussian Best- acc: [0.9813] lr: [0.0807828] index: 0 grid-acc: [0.9818] lr: [0.06934914] grid-counts: 100 grid-time: 3392.1185035705566 second — gamma gaussian: 308.5484368801117 seconds — ————————-Gamma———————— accuracy: 0.99672 confusion: 4562.803546984866 precision: 0.9835683589709514 recall: 0.9835058725009371 mcc: 0.9817028741071395 sensitivity: 0.9835058725009371 specificity: 0.9981785294864007 ————————-Gaussian———————— accuracy: 0.99626 confusion: 4545.908262967948 precision: 0.981316407524821 recall: 0.9810898959265562 mcc: 0.9791059831360185 sensitivity: 0.9810898959265562 specificity: 0.997922830382359 ————————-Grid———————— accuracy: 0.9963599999999999 confusion: 4545.908146741083 precision: 0.981879115324593 recall: 0.9815012472351764 mcc: 0.9796568657792945 sensitivity: 0.9815012472351764 specificity: 0.9979768937659553 —————-epoch————–(step: 2 ) gamma-bounds: [[0.02409309 0.08432582]] gaussian-bounds: [[0.03231312 0.11309592]] grid-bounds: [[0.02773966 0.0970888 ]] Gamma Best- acc: [0.9823] lr: [0.02409309] index: 0 Gaussian Best- acc: [0.9821] lr: [0.03550456] index: 6 grid-acc: [0.9783] lr: [0.02982013] grid-counts: 100 grid-time: 5223.958828687668 second — gamma gaussian: 343.67405676841736 seconds — ————————-Gamma——————— accuracy: 0.9964599999999999 confusion: 4545.632518181818 precision: 0.9823391951737168 recall: 0.982118716591801 mcc: 0.9802569569051883 sensitivity: 0.982118716591801 specificity: 0.9980324760992 ————————-Gaussian———————— accuracy: 0.99642 confusion: 4545.635281241946 precision: 0.9820085701478038 recall: 0.9819438346460284 mcc: 0.9799852874924644 sensitivity: 0.9819438346460284 specificity: 0.9980115536490326 ————————-Grid———————— accuracy: 0.99566 confusion: 4546.037013372861 precision: 0.9781982768860729 recall: 0.978143086587466 mcc: 0.9757536738243268 sensitivity: 0.978143086587466 specificity: 0.9975895338444459 —————-epoch————–(step: 3 ) gamma-bounds: [[0.00963724 0.03373033]] gaussian-bounds: [[0.01420183 0.04970639]] grid-bounds: [[0.01192805 0.04174818]] Gamma Best- acc: [0.9813] lr: [0.02185781] index: 2 Gaussian Best- acc: [0.9812] lr: [0.0207021] index: 2 grid-acc: [0.9837] lr: [0.01312086] grid-counts: 100 grid-time: 7069.49636721611 second — gamma gaussian: 350.1422553062439 seconds — ————————-Gamma———————— accuracy: 0.99626 confusion: 4545.63475035308 precision: 0.9812261638722205 recall: 0.9811773662104988 mcc: 0.9791226848339004 sensitivity: 0.9811773662104988 specificity: 0.9979225414069898 ————————-Gaussian———————— accuracy: 0.9962399999999999 confusion: 4545.635264046948 precision: 0.9810652055934064 recall: 0.9810538040503666 mcc: 0.9789703109590817 sensitivity: 0.9810538040503666 specificity: 0.9979120643565299 ————————-Grid———————— accuracy: 0.99674 confusion: 4546.036578721596 precision: 0.9836110493048572 recall: 0.9834916677629966 mcc: 0.9817387961353237 sensitivity: 0.9834916677629966 specificity: 0.998189550424739
