) (
(51)International Patent Classification:(74)Agent:KENNEDY,Richard;Venner Shipley LLP,5Stir-
G06N20/00(2019.01)lingHouse,Stirling Road,The Surrey ResearchPark,Guild¬
ford Surrey GU27RF(GB).
(21)International Application Number:
PCT/GB2019/050979(81)Designated States(unless otherwise indicated,for every
kind o f national protection av ailable).AE,AG,AL,AM, (22)International Filing Date:AO,AT,AU,AZ,BA,BB,BG,BH,BN,BR,BW,BY,BZ,
04April2019(04.04.2019)
CA,CH,CL,CN,CO,CR,CU,CZ,DE,DJ,DK,DM,DO, (25)Filing Language:English DZ,EC,EE,EG,ES,FI,GB,GD,GE,GH,GM,GT,HN,
HR,HU,ID,IL,IN,IR,IS,JO,JP,KE,KG,KH,KN,KP, (26)Publication Language:English KR,KW,KZ,LA,LC,LK,LR,LS,LU,LY,MA,MD,ME,
(30)Priority Data:MG,MK,MN,MW,MX,MY,MZ,NA,NG,NI,NO,NZ,
1805871.909April2018(09.04.2018)GB OM,PA,PE,PG,PH,PL,PT,QA,RO,RS,RU,RW,SA,
SC,SD,SE,SG,SK,SL,SM,ST,SV,SY,TH,TJ,TM,TN, (71)Applicant:VOLUME LIMITED[GB/GB];Buckhurst TR,TT,TZ,UA,UG,US,UZ,VC,VN,ZA,ZM,ZW.
Court,London Road,Wokingham Berkshire RG401PA
(GB).(84)Designated States(unless otherwise indicated,for every
kind o f regional protection available).ARIPO(BW,GH, (72)Inventors:ALVAREZ,Benoit;c/o Volume Limited,GM,KE,LR,LS,MW,MZ,NA,RW,SD,SL,ST,SZ,TZ,
Buckhurst Court,London Road,Wokingham Berkshire UG,ZM,ZW),Eurasian(AM,AZ,BY,KG,KZ,RU,TJ, RG40IPA(GB).WICKENS,Marc;c/o Volume Limit¬TM),European(AL,AT,BE,BG,CH,CY,CZ,DE,DK, ed,Buckhurst Court,London Road,Wokingham Berkshire EE,ES,FI,FR,GB,GR,HR,HU,IE,IS,IT,LT,LU,LV, RG401PA(GB).MC,MK,MT,NL,NO,PL,PT,RO,RS,SE,SI,SK,SM,
(54)Title:ANALYSING MACHINE-LEARNED CLASSIFIER MODELS
(57)Abstract:A computer-implemented method comprises inputting a data item for processing by a machine-learned classifier model and receiving,in response to inputting the data item,a plurality of confidence scores for a plurality of respective classes,the plurality of confidence scores having been generated by the machine-learned classifier model based on the data item.The method further comprises determining a distance in dependence on a highest confidence score that is generated for the data item,and causing display of a class distribution diagram,wherein the class distribution diagram comprises:a graphical representation corresponding to a first class,said first class being one of said plurality of classes;a graphical representation corresponding to a second class,said second class being another of said plurality of classes;and a graphical representation corresponding to the data item,wherein the graphical representation corresponding to the data item is located at said distance between the graphical representation of the first class and the graphical representation of the second class.
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