Hello,
Can you please help me to understand this Partial Least Squares?
This is a fraudulent claim dataset, and I need to examine the results.
Thank you very much.
Results - Node: Partial Least Squares Diagram: Data Preparation and Analysis X File Edit View Window lar Score Rankings Overlay: Fraudulent_Claim Q X| Variable Importance for Projection - Q X Output Cumulative Lift v 580 581 Data Role=VALIDATE Target Variable=Fraudulent_Claim Target Label=Fraudulent_Claim 1.5 582 583 Posterior Number Mean 584 Probability of Number of Posterior 1208 Range Events Nonevents Probability Percentage 587 0. 20-0.25 0. 21449 0. 0999 1.0 588 0. 15-0.20 106 0. 16435 6. 443 Cumulative Lift 589 0. 10-0.15 430 0. 12376 24.9750 Variable Importance for Projection 590 0.05-0.10 532 0. 07230 27.9720 N 591 0.00-0.05 808 0. 01600 40. 5095 592 @ 0.5- 20 40 60 100 Depth 0.0 - - TRAIN - VALIDATE Variable Percent Variation DO X Variable Selection Number of Extracted Factors X variation accounted for by Total X variation accounted Y variation accounted for by Total Y variation accounted Variable Standardized Parameter Estimate Variable Importance for Projection Rejected by Parameter Estimate Rejected by VIP Role this factor for so far this factor for so far Annual Premium 0.00337 0.075712Yes Yes Rejected 3.4424 3.4424 6.1357 6.1357 Claim Amount 0.03723 0.391505Yes Yes Rejected 4.5328 7.9752 0.5324 6.6682 Claim Cause COLLISION 0.02811 0.264022Yes Yes Rejected 4.2163 12.1915 0.1433 6.8115 Claim Cause FIRE 0.00914 0.10615Yes Yes Rejected OUTAWN 2.2035 14.3950 0.0286 6.8401 Claim Cause HAIL 0.05297 0.860207Yes No Input 2.3866 16.7815 0.0031 6.8431 Claim Cause OTHER 0.01340 0.144922Yes Yes Rejected 2.4943 19.2758 0.0002 6.8434 Claim Cause SCRATCH/DENT -0.09251 1.297043Yes No Input 2.6307 21.9065 0.0000 6.8434 Claim Date 01/15/2019 0.01159 0.209324Yes Yes Rejected 8 2.4453 24.3518 0.0000 6.8434 Claim Date 12/01/2018 -0.01349 0.245676Yes Yes Rejected 9 1.6694 26.0211 0.0000 6.8434 Claim Date 12/15/2018 0.00403 0.075896 Yes Yes Rejected 10 2.1509 28.1720 0.0000 6.8434 Claim Report Type AGENT -0.00881 0.124033Yes Yes Rejected 11 2.8308 31.0028 0.0000 6.8434 Claim Report Type BRANCH -0.01038 0.083034Yes Yes Rejected 12 2.5461 33.5489 0.0000 6.8434 Claim Report Type CALL CENTER 0.00401 0.122063Yes Yes Rejected 13 2.6111 36.1600 0.0000 6.8434 Claim Report Type WEB 0.02953 0.391459Yes Yes Rejected 14 2.2677 38.4277 0.0000 6.8434 Employment Status DISABLED 0.00657 0.08589Yes Yes Rejected 2.2094 40.6372 0.0000 6.8434 Employment Status EMPLOYED 0.01448 0.398472Yes Yes Rejected Employment Status MEDICAL LEAVE 0.00109 0.078128Yes Yes Rejected Employment Status RETIRED 0.01089 0.180412Yes Yes Rejected Employment Status UNEMPLOYED 0.01734 0.470669Yes Yes Rejected Gender F -0.07257 1.691802Yes No Input Gender M 0.07257 1.691802Yes No Input IMP Education BACHELOR -0.00953 0.092329Yes Yes Rejected 1 Absolute Standardized Parameter Estimates IMP Education COLLEGE -0.00618 0.139493Yes Yes Rejected IMP Education DOCTOR -0.00639 0.063274Yes Yes Rejected 0.10- IMP Education HIGH SCHOOL OR B. 0.00346 0.106117Yes Yes Rejected IMP Education MASTER 0.02518 0.316407Yes Yes Rejected IMP Location RURAL 0.00065 0.268459Yes Yes Rejected .08 IMP Location SUBURBAN 0.01000 0.337223Yes Yes Rejected IMP Location URBAN 0.01212 0.224383Yes Yes Rejected IMP Outstanding Balance -0.02194 0.231706Yes Yes Rejected Income 0.01670 0.394271Yes Yes Rejected .06- Marital Status DIVORCED 0.01205 0.166092Yes Yes Rejected Marital Status MARRIED -0.01324 0.422514Yes Yes Rejected Standardized Parameter Estimate 0.04- Fit Statistics Target Target Label Fit Statistics Statistics Label Train Validation Test Fraudulent Claim Fraudulent Claim ASE Average Squared Error 0.052982 0.054634 Fraudulent Claim Fraudulent Claim DIV Divisor for ASE 5996 4004 Fraudulent Claim Fraudulent Claim MAX Maximum Absolute Error 0.960766 0.98332 Fraudulent Claim Fraudulent Claim JOBS Sum of Frequencies 2998 2002 Fraudulent Claim Fraudulent Claim RASE Root Average Squared Error 0.230179 0.233738 0.00 Fraudulent Claim Fraudulent Claim SSE Sum of Squared Errors 317.6818 218.7526 Variable Fraudulent Claim Fraudulent Claim DISF Frequency of Classified Cases 2998 2002 Fraudulent Claim Fraudulent Claim MISC 0. 0+ Misclassification Rate 0.061041 0.061938 Fraudulent Claim Fraudulent Claim WRONG Number of Wrong Classifications 183 124Variable Summary Measurement Frequency Role Level Count ID INTERVAL INPUT INTERVAL INPUT NOMINAL 12 REJECTED NOMINAL TARGET BINARY Model Events Number Heasurement of Target Event Level Levels Order Label Fraudulent_Claim Y BINARY 2 Descending Fraudulent_Claim Predicted and decision variables Type Variable Label TARGET Fraudulent_Claim Fraudulent_Claim PREDICTED P_Fraudulent_ClaimY Predicted: Fraudulent_Claim=Y RESIDUAL R_Fraudulent_ClaimY Residual: Fraudulent_Claim-Y PREDICTED P_Fraudulent_ClaimN Predicted: Fraudulent_Claim=N RESIDUAL R_Fraudulent_ClaimN Residual: Fraudulent_Claim-N FROM F_Fraudulent_Claim From: Fraudulent_Claim INTO I_Fraudulent_Claim Into: Fraudulent_Claim The PLS Procedure Data Set WORK. TMP_TRAIN Factor Extraction Method Partial Least Squares PLS Algorithm NIPALS Number of Response Variables Number of Predictor Parameters 55 Missing Value Handling Impute Average Number of Factors 15 Number of Observations Read 2998 Number of Observations Used 2998The PLS Procedure Percent Variation Accounted for by Partial Least Squares Factors Number of Extracted Model Effects Dependent Variables Factors Current Total Current Total 3. 4424 3. 4424 6. 1357 6.1357 4. 5326 7. 9752 0. 5324 6.6662 4. 2163 12. 1915 0. 1433 6. 8115 2. 2035 14. 3950 0.0206 6. 0401 2. 3866 16. 7815 0.0031 6. 8431 2. 4943 19.2758 0. 0002 6.8434 2.6307 21.9065 0. 0000 6.8434 2. 4453 24. 3518 0.0000 6. 8434 1. 6694 26.0211 0.0000 6.8434 10 2. 1509 28. 1720 0. 0000 6.8434 11 2. 8308 31. 0026 0.0000 6.8434 12 2. 5461 33. 5489 0.0000 6.8434 13 2. 6111 36. 1600 0.0000 6. 8434 14 2. 2677 38. 4277 0.0000 6.8434 15 2. 2094 40. 6372 0. 0000 6. 8434Model Effect Loadings Employment_ Number of Claim Claim Claim_Report_ Claim_ Employment_ Employment Status Extracted Annual_ Claim_Cause Claim_Cause Claim_Cause Claim_Cause Claim_Cause Claim_Date Claim_Date Claim_Date Report_Type Report_Type Type CALL Report_Type Status Status MEDICAL Factors Premium Claim_Amount COLLISION FIRE HAIL OTHER SCRATCH/DENT 01/15/2019 12/01/2018 12/15/2018 AGENT BRANCH CENTER WEE DISABLED EMPLOYED LEAVE 0. 021559 -0. 140622 0. 000067968 0. 011423 0. 174050 0. 011537 -0. 231093 0. 048089 -0. 060554 0. 021348 -0. 016504 -0. 006557 -0. 035904 0. 070240 -0. 025563 -0. 144650 0. 027010 -0. 001410 0. 083753 0. 005691 -0. 058466 0. 202512 -0. 040649 -0. 225120 0. 020207 -0. 016498 0. 00000174 0. 062768 0. 010219 0. 010666 0. 06012 0. 017079 0. 329364 -0. 030602 0. 004830 0. 213612 0.337704 -0. 034274 -0. 101869 -0. 152498 -0. 168484 0. 035165 -0. 012246 -0. 016499 D. 067726 -0. 071699 -0. 035263 0. 038463 0. 130008 -0. 384180 0. 038265 -0. 089173 0. 549476 -0. 146301 -0. 030896 -0. 078251 0. 111873 0. 198378 -0. 152416 0. 10825 0. 01620 -0. 080243 -0. 089395 0. 141882 0. 065723 -0. 07527 0. 167336 -0. 070304 0. 207174 -0. 011319 -0. 044788 0. 104635 -0. 124084 0. 052441 0. 165689 0. 054775 -0. 084338 0. 039716 0. 010090 0. 067449 -0. 006228 -0. 092532 -0. 005941 -0. 020221 -0. 050206 -0. 332313 0. 207707 -0. 063259 0. 067703 0. 214949 -0. 088394 -0. 112381 0. 184001 -0. 063169 -0. 087245 0. 12771 0. 080061 -0. 166413 -0. 090997 -0. 067679 0. 025820 0. 047132 0. 482489 0. 061673 -0. 206340 0. 038852 0. 155551 0. 131356 -0. 033624 -0. 163282 0. 170645 -0. 037441 0. 014062 0. 070741 -0. 072706 -0. 028791 0. 002810 0. 02878 0. 116584 -0. 415623 0. 014858 0. 036055 -0. 178191 -0. 140435 0. 197963 -0. 036554 -0. 117638 -0. 046768 0. 143139 0. 092437 -0. 16975 0. 082630 -0. 000270 0. 033063 0. 105315 0. 074779 0. 300250 0. 031868 0. 058800 -0. 065432 -0. 063947 -0. 028239 0. 03011 0. 170206 -0. 105680 -0. 033345 -0. 043935 -0. 031657 0. 056113 0. 037787 0. 037301 . 223534 0. 115256 -0. 216063 -0. 183311 -0. 113633 0. 093429 0. 172151 -0. 103672 0. 021653 -0. 078699 0. 178585 -0. 114611 -0. 042848 0. 149370 -0. 122122 0. 002676 -0. 046264 0. 044348 0. 002767 11 0. 066891 0. 174958 0. 287518 0. 197708 -0. 143736 -0. 169957 -0. 064243 -0. 065667 -0. 131979 0. 186026 0. 109094 -0. 018993 -0. 042710 -0. 076273 -0. 065655 0. 019508 0. 011476 12 0. 057651 0. 094267 -0. 109190 0. 366603 0. 060103 0. 100529 -0. 03637 0. 064486 -0. 128584 0. 076120 0. 232278 -0. 040783 0. 239482 0. 101880 0. 12945 0. 010694 0. 025590 13 -0. 113239 0. 139253 -0. 048208 0. 205207 -0. 064171 0. 078019 0. 066877 0. 031014 0. 288606 -0. 314668 0. 021305 -0. 065834 0. 046925 0. 003155 -0. 183763 -0. 049117 0. 024919 14 0. 110523 -0. 051349 0.210576 0. 039927 -0. 024572 -0. 057946 0. 202657 0. 02215 -0. 176518 0. 195062 0. 208988 0. 056605 0. 122697 -0. 219271 -0. 101406 0. 136996 0. 140658 15 -0. 054217 0. 049524 -0. 205297 -0. 121196 0. 226838 -0. 083063 0. 068113 0. 078165 0. 017372 -0. 081374 -0.356391 0. 111911 0. 169711 0. 152492 -0. 095768 -0. 034399 0. 043904 Model Effect Loadings Number of Employment Employment IMP_Education Marital_ Marital Marital Extracted Statu Status IMP_Education IMP_Education IMP_Education HIGH SCHOOL IMP_Education IMP_Location IMP_Location IMP_Location IMP_Outstanding_ Status Status Status Factors RETIRED UNEMPLOYED Gender F Gender M BACHELOR COLLEGE DOCTOR OR BELOU MASTER RURAL SUBURBAN URBAN Balance Income DIVORCED MARRIED SINGLE -0. 013097 0. 167135 -0. 520479 0. 520479 -0. 011823 -0. 034190 -0. 009740 0. 038007 0. 021025 -0. 099357 0. 099409 -0. 022611 -0. 015332 0. 142684 -0. 034246 -0. 149323 0. 194861 -0. 114265 -0. 312373 0. 163536 -0. 163536 0. 005135 -0. 035449 0. 020634 -0. 063634 0. 144735 3. 25275 0. 398780 0. 244257 -0. 06417 0. 317955 -0. 016026 0. 221243 -0. 234946 0. 053237 0. 326815 0.267704 -0. 267704 -0. 054488 0. 044210 0. 084902 0. 042825 0. 002811 -0. 142215 0. 236846 -0. 153395 -0. 060436 -0. 343651 0. 002473 0. 189343 0. 210123 0. 012535 -0. 123670 -0. 280362 0. 280362 -0. 115221 0. 062187 0. 001176 0. 057917 -0. 011524 . 00566 0. 076411 0. 103774 -0. 099059 0. 094701 -0. 127574 0. 198370 -0. 119491 0. 150101 -0. 016570 0. 121140 0. 121140 0. 201122 -0. 018341 0. 084312 -0. 178805 -0. 063361 0. 007274 -0. 036829 0. 039481 0. 077093 -0. 024279 0. 205838 -0. 176817 0.032320 -0. 021676 -0. 009531 -0. 049215 0. 049215 0. 001358 -0. 145947 0. 032959 0. 137519 -0. 007402 -0. 138800 -0. 014679 0. 164959 0. 157046 0. 003651 0. 015531 -0. 030522 0. 046700 -0. 132914 0. 033886 0. 064236 -0. 064236 -0. 156973 D. 026550 -0. 085569 0. 129146 0. 059842 -0. 038886 0. 051775 0. 025321 0. 107493 -0. 122140 -0. 124411 0. 121150 -0.035532 -0. 113706 -0. 119324 -0. 017124 0. 017124 0. 104309 0. 128437 -0. 204029 -0. 181564 0. 053614 0. 107915 0. 035335 -0. 158874 0. 026490 -0. 131175 0. 175054 -0. 100571 -0. 028306 -0. 035577 -0. 197807 0. 062885 0. 062885 0. 188142 0. 138127 -0. 086241 0. 000699 -0. 020331 0. 013912 0. 073451 0. 079366 -0. 118450 -0. 314350 -0. 016822 0. 104658 0. 130792 10 0. 088922 -0. 067977 0. 112484 -0. 112484 -0. 289117 0. 099302 0. 194833 0. 133194 -0. 045231 -0. 114169 0. 071335 0. 028923 0. 008387 -0. 277760 -0. 179707 0. 189899 -0. 068018 11 0. 123709 -0. 050317 -0. 103958 0. 103958 0. 031780 -0. 043369 0. 139848 -0. 083190 0. 063484 0. 127687 -0. 189554 0. 108160 0. 146668 -0. 061026 0. 236607 -0. 180529 0. 011700 12 -0. 079433 0. 072450 0. 001242 -0. 001242 0. 074268 -0. 104181 0. 008358 -0. 023579 0. 087447 0. 111207 0. 050009 0. 181124 0. 184281 -0. 067310 -0. 023720 0. 085116 -0. 076251 13 -0. 033639 0. 145546 0. 069884 -0. 069884 -0. 032683 0. 110956 -0. 135876 0. 034708 -0. 098593 0. 116641 -0. 032891 -0. 080734 0. 141270 -0. 101615 -0. 055724 0. 101457 -0. 068784 0. 022411 -0. 048148 -0. 078237 0. 078237 -0. 187447 0. 126944 -0. 206336 0. 148775 -0. 009545 0. 232592 0. 164783 0. 034022 0. 082117 0. 091513 0. 247680 0. 103720 -0. 315652 15 -0. 336659 0. 211133 0. 072295 -0. 072295 0. 190368 -0. 123776 -0. 023839 0. 136793 0. 139439 -0. 026099 -0. 037408 0. 075367 0. 111262 -0. 083202 0. 236127 -0. 199744 0. 033613 Model Effect Loadings Vehicle_ Number of Months_Months_Since Class Vehicle Vehicle Vehicle Vehicle_ Vehicle_ Extracted Monthly_ Since_Last_ Policy State_Code State_Code State_Code State_Code State_Code FOUR-DOOR Class LUXURY Class LUXURY Class SPORTS Vehicle_ Class Model Vehicle_ Vehicle_ Factors Premium claim Inception CAR CAP SUV CAR Class SUV TWO-DOOR CAR CHEVROLET Model FORD Model HONDA 0. 021559 0. 070714 -0. 021037 0. 020359 0. 038401 -0. 016502 -0. 004478 -0. 038537 0. 219627 -0. 014422 -0. 022931 -0. 127622 -0. 302547 . 108866 -0. 023964 -0. 007812 0. 018199 -0. 001410 0. 007786 0. 007426 0. 047415 -0. 013835 -0. 022456 0. 039407 -0. 07869 0. 129956 -0. 010219 -0. 008042 -0. 096477 -0. 188952 0. 084209 0. 028526 -0. 019249 0. 032882 0. 004830 -0. 035462 0. 016186 0. 025323 -0. 013016 -0. 00498 0. 00704 -0. 028207 -0. 028452 0. 011036 0. 002847 -0. 053972 -0. 017999 . 079016 0. 004375 -0. 027844 0. 048950 -0. 089173 -0. 116694 -0. 153673 -0. 161878 -0. 007139 0. 16343 0. 00585 0. 01536. 0. 16807 0. 000984 -0. 083702 -0. 024490 0. 071500 0. 186601 -0. 031140 -0. 000494 0. 023032 0. 207174 0. 000033224 -0. 036254 0. 129066 -0. 073468 -0. 06703 -0. 074272 0. 076559 0. 47804 -0. 34247 -0. 376099 0. 033519 0. 204858 -0. 130298 -0. 019629 0. 025891 -0. 080216 -0. 332313 0. 113487 0. 303393 0. 126430 0. 054072 -0. 21850 -0. 012276 0. 10196 0. 285504 0. 185859 -0. 084249 0. 159257 0. 20179 0. 160157 0. 007172 0. 037064 0. 036558 0. 482489 0. 210354 0. 241 455 -0. 210097 -0. 00146 0. 19396 0. 072135 0. 068006 0. 016292 0. 027419 -0. 054058 0. 034665 -0. 001831 -0. 025121 -0. 045898 0. 034844 0. 059658 -0. 415623 0. 086040 0. 257294 -0. 05653 -0. 080540 0. 09663 0. 08843 -0. 10006 0.225622 0. 059509 -0. 030325 -0. 039166 -0. 061082 0. 208496 -0. 018802 -0. 004883 0. 000734 0. 300250 -0. 058385 -0. 088123 0. 349095 -0. 11423 -0. 21576 -0. 10899 0. 05114 0. 304942 0. 129634 0. 013212 -0. 000979 0. 135661 0. 205051 0. 084360 -0. 007323 0. 054004 10 -0.216063 -0. 093716 -0. 207594 -0. 275292 0. 14176 0. 097068 0. 03775 0. 085623 0.234414 -0. 135478 -0. 054758 -0. 032735 0. 157020 0. 058355 -0. 032310 -0. 042931 0. 025196 11 0. 066891 0. 017344 0. 041455 -0. 261168 0. 162422 0. 15924 0. 079077 -0. 108418 -0. 042775 -0. 098910 0. 214554 0. 080680 0. 146552 -0. 189859 -0. 066237 0. 090838 0. 015705 12 0. 057651 -0. 046235 0. 065948 0. 170816 0. 02998 -0. 05692 -0. 02825 -0. 16944 -0. 070789 -0. 028489 0. 173965 0. 014722 -0. 050729 0. 073438 0. 046116 0. 040413 0. 077028 13 -0. 113239 -0. 165726 0. 082074 0. 211772 -0. 068500 -0. 01108 -0. 085551 -0. 127470 0. 090759 -0. 083215 0. 003535 -0. 028291 -0. 143637 . 068683 0. 03198 -0. 007601 0. 006102 14 0. 110523 -0. 337421 0. 084077 0. 004964 0. 173912 -0. 026902 D. 061014 0. 124596 -0. 016492 0. 103765 -0. 061975 -0. 078057 0. 035220 0. 020717 -0. 035381 0. 047900 0. 026922 -0. 054217 -0. 215333 0. 102096 -0. 262582 0. 035087 0. 066902 . 041534 0. 213620 -0. 019516 0. 142951 -0. 106415 -0. 093226 . 078254 0. 004969 -0. 066998 0. 112604 -0. 06891269 Model Effect Loadings 70 71 Number of 12 Extracted Vehicle Vehicle Size Vehicle Size Vehicle Size 73 Factors Model TOYOTA COMPACT LUXURY HIDSIZE 74 75 0. 013850 -0.060867 0. 027144 0. 034779 76 2 -0. 040870 -0. 083477 0. 051940 0. 037932 3 -0. 023986 0. 035418 0. 023322 -0. 046203 78 4 0. 008953 0.009407 -0. 128627 0. 077354 79 0. 071336 0. 070642 -0. 007777 -0. 056114 80 -0. 005535 -0. 094600 0. 137198 -0. 009012 81 -0. 047244 -0. 077048 0. 018306 0. 054681 82 8 0. 022755 0. 095243 0. 007933 -0. 087882 83 9 -0. 023744 -0. 076142 -0. 116274 0. 143228 84 10 0. 050377 0. 144340 0. 126341 -0. 209066 85 11 -0. 040417 -0. 273568 -0. 099983 0. 303665 86 12 -0. 160627 0.362242 0. 199671 -0. 446754 87 13 -0. 029954 -0. 341621 -0. 232205 0. 450462 8:8 14 0. 108905 0.143464 0. 033042 -0. 146376 39 15 0. 020647 -0. 125952 0. 040118 0. 082623 91Model Effect Weights Employment Number of Claim_ Claim_ Claim_Report_ Claim_Employment_ Employment_ Status Extracted Annual_ Claim_Cause Claim_Cause Claim_Cause Claim_Cause Claim_Cause Claim_Date Claim_Date Claim_Date Report_Type Report_Type Type CALL Report_Type Status Status MEDICAL Factors Premium Claim_Amount COLLISION FIRE HAIL OTHER SCRATCH/DENT 01/15/2019 12/01/2018 12/15/2018 AGENT BRANCH CENTER WEB DISABLED EMPLOYED LEAVE 0. 021564 -0. 049627 0. 054526 -0. 014988 0. 241260 -0. 023168 -0. 357360 0. 059521 -0. 070180 0. 021642 -0. 032626 -0. 020204 -0. 034614 0. 107968 -0. 002579 -0. 097983 0. 020601 -0. 007272 0. 365085 0. 190023 -0. 096030 0. 175717 0. 125012 -0. 362527 0. 023640 -0. 013124 0. 006189 -0. 050684 0. 04540 0. 016641 0. 107919 0. 088852 0. 211751 -0. 031497 -0. 009276 3. 437144 0. 311035 -0. 034707 -0. 146967 -0. 123312 -0. 121322 -0. 004267 0. 014001 -0. 010543 0. 051987 -0. 099837 0. 004836 0. 051307 0. 113671 -0. 365092 0. 013790 -0. 045963 0. 634698 -0. 192953 0. 009699 -0. 109082 0. 141094 0. 272253 -0. 135477 0. 086576 0. 024076 -0. 07140 -0. 065430 0. 137608 0. 028016 0. 093391 0. 184088 -0. 089394 0. 152645 0. 054258 -0. 082268 0. 125416 -0. 060641 0. 044645 0. 141604 0. 099805 -0. 098202 0. 016767 0. 052318 0. 098248 -0. 060374 -0. 129090 -0. 025669 -0. 009521 0. 030112 -0. 25095 0. 235392 -0. 120225 0. 044375 0. 259321 -0. 042252 -0. 131561 0. 144172 -0. 025548 -0. 092363 0. 146729 0. 090238 -0. 190013 -0. 103627 -0. 068206 0. 043539 0. 085181 0. 411015 0. 054781 0. 209295 0. 110541 . 119083 D. 206568 -0. 046309 0. 206869 0. 166055 0. 002826 0. 041584 0. 019157 0. 049520 0. 025985 0. 015859 0. 063469 0. 138503 8 -0. 389909 -0. 043148 0. 066820 -0. 199462 -0. 165724 D. 176057 -0. 025489 0. 070082 -0. 076229 0. 133756 0. 076887 -0. 179699 0. 095766 0. 018919 0. 037868 0. 285564 0. 022607 0. 268324 -0. 055697 0. 050475 0. 042852 0. 014718 -0. 149392 0. 043275 0. 165975 -0. 042126 -0. 093587 -0. 081651 0. 063884 -0. 012558 0. 043028 -0. 006032 0. 349470 0. 154551 10 -0. 210354 -0. 140838 -0. 044113 0. 188498 0. 145980 -0. 155013 0. 001943 -0. 099723 0. 147695 -0. 066445 -0. 028896 0. 151951 -0. 127594 -0. 013438 -0. 081558 0. 054162 0. 008170 11 0. 080132 0. 200253 0.275960 . 308205 0. 139849 0. 151650 -0. 075303 -0. 052025 -0. 158223 0. 201168 0. 060951 -0. 032448 0. 014712 -0. 057383 -0. 111200 0. 022167 0. 018223 12 0. 040895 0. 067202 -0. 115819 . 424778 0. 049847 0. 117332 -0. 032220 0. 073311 -0. 081193 0. 021397 -0. 230293 -0. 052899 0. 254437 0. 098111 -0. 178752 0. 006806 0. 026078 13 -0. 09560 -0. 154652 -0. 011304 0. 218060 -0. 063505 0. 064059 0. 028136 0. 031284 0. 263471 -0. 289694 0. 056618 -0. 052559 0. 026880 -0. 039369 -0. 221172 -0. 021643 -0. 002698 14 0. 105150 -0. 039867 0. 178882 ). 013862 0. 017039 0. 080712 0. 191340 0. 005537 0. 177643 0. 182596 0. 156456 0. 07492 0. 101690 -0. 194694 -0. 130576 0. 136061 -0. 131433 15 -0. 048690 0. 065797 -0. 195872 -0. 133516 0. 205044 -0. 097411 0. 096308 0. 084419 0. 031111 -0. 100263 -0. 295678 0. 076329 0. 126330 0. 163469 -0. 119194 -0. 032835 0. 073431 Model Effect Weights Number of Employment Employment_ IMP_Education Marital_ Marital_ Marital_ Extracted Status Status IMP_Education IMP_Education IMP_Education HIGH SCHOOL IMP_Education IMP_Location IMP_Location IMP_Location IMP_Outstanding_ Status Status Status Factors RETIRED UNEMPLOYED Gender F Gender HI BACHELOR COLLEGE DOCTOR OR BELOU MASTER RURAL SUBURBAN URBAN Balance Income DIVORCED MARRIED SINGLE -0. 043423 0. 120263 -0. 475110 0. 475110 -0. 024137 -0. 039837 -0. 017040 0. 026760 0. 075333 -0. 041961 0. 008951 0. 032732 -0. 055139 -0. 097573 -0. 046694 -0. 108665 0.159336 -0. 10140 0. 220066 0. 334263 -0. 334263 -0. 038977 -0. 008151 -0. 022182 0. 052097 0. 182415 0. 233880 -0. 349280 0. 200777 -0. 133735 0. 205659 -0.031863 0. 192364 -0.189840 0. 079081 0. 313500 0. 208879 -0. 208879 -0. 077684 0. 064223 -0. 083235 0. 051489 -0. 008266 -0. 158628 0. 283846 -0. 196270 -0. 086328 -0. 350330 -0. 018948 -0. 15989 0. 194379 0. 06417 -0. 14740 -0.271579 0.271579 0. 055431 0. 048729 0. 032652 0. 013450 -0. 03577 -0. 005763 0. 071501 0. 085452 -0. 061999 0. 089897 -0. 068229 0. 153827 -0. 117382 0. 141890 -0. 02509 0. 120254 -0. 120254 0. 208436 -0. 059250 0. 088693 -0. 145569 -0. 064727 -0. 034284 -0. 039895 0. 087171 0. 138604 -0. 045821 0. 211381 -0. 193573 0. 046627 -0. 070990 -0. 025548 0.036967 0. 036967 0. 030260 -0. 139751 0. 008027 0. 167628 0. 012856 -0. 149204 -0. 000575 0. 157863 0. 196303 -0. 069509 -0. 037845 -0. 009966 0. 041642 -0. 189960 -0. 061039 0. 061662 -0. 061662 -0. 125842 0. 063299 -0. 171400 0. 083016 0. 082358 -0. 004475 0. 059866 -0. 071916 0. 114143 -0. 291316 -0. 084435 0. 089674 -0.032463 -0. 121335 -0. 29538 -0. 031217 0. 031217 0. 150334 0. 099815 0. 224495 0. 184846 0. 045185 0. 116831 0. 00514 0. 129616 0. 019577 -0. 459538 0. 164767 -0. 138234 0. 022172 9 0. 040630 -0. 333010 -0. 022814 0. 022814 0. 049959 -0. 129134 0. 057758 0. 084772 -0. 046040 -0. 034817 -0. 085415 0. 145996 -0. 116408 -0. 667419 -0. 111801 -0. 033167 0. 127189 10 0. 126892 -0. 081382 0. 091058 -0. 091058 -0. 298193 0. 088756 0. 250246 0. 117981 -0. 024995 -0. 076270 0. 023620 0. 050086 0. 068127 -0. 323910 -0. 124452 0. 158307 -0.077124 11 0. 108749 -0. 028223 0. 106582 0. 106582 0. 048462 -0. 064676 0. 140622 -0. 090501 0. 08370 0. 164957 -0. 187553 0. 06635 0. 207659 -0. 085010 0. 244181 -0. 163835 -0. 013101 12 -0. 09236 0. 10574 0. 012902 -0. 012902 0. 063685 -0. 080695 -0. 029095 -0. 011863 0. 071418 0. 129144 0. 052425 -0. 203106 0. 225770 -0. 088007 -0. 022547 0. 112908 -0. 108330 13 -0. 048890 0. 15241 0. 058217 -0. 058217 0. 067985 0. 138697 -0. 189481 0. 063486 -0. 097947 0. 067604 0. 002066 0. 073838 0. 171020 -0. 090256 0. 010646 0. 122261 -0. 145538 14 -0. 06224 -0. 00041 -0. 068478 0. 068478 -0. 153922 0. 102352 -0. 214911 0. 123718 0. 024463 -0. 249170 0. 166661 0. 049075 0. 104901 0. 073992 0. 314953 0. 072776 -0.335161 -0. 411432 0. 239350 0. 063086 -0. 063086 0. 199887 -0. 144437 0. 001487 -0. 151192 0. 165392 -0. 031540 -0. 025064 0. 065298 0. 092499 -0. 103131 0. 272034 -0. 170161 -0. 028445 Model Effect Weights Vehicle_ Number of Months_Months_Since_ Class Vehicle_ Vehicle_ Vehicle Vehicle_ Vehicle_ Extracted Monthly_ Since_Last Policy_ State_Code State_Code State_Code State_Code State_Code FOUR-DOOR Class LUXURY Class LUXURY Class SPORTS Vehicle_ Class Model Vehicle_ Vehicle_ Factors Premium Claim Inception TA CAR CAR SUV CAR Class SUV TWO-DOOR CAR CHEVROLET Model FORD Model HONDA 0. 021564 0. 067863 -0. 025081 0. 037962 0. 032908 -0. 019866 0. 009208 -0. 073759 0. 281953 -0. 025570 -0. 040853 -0. 186982 -0. 404009 0. 174612 -0. 017184 -0. 020539 D. 041268 -0. 007272 -0. 033853 -0. 007002 0. 054549 0. 032150 -0. 006163 0. 049275 -0. 109890 0.143266 -0. 034029 -0. 054793 -0. 164015 -0. 251813 . 192639 0. 031759 -0. 041774 0. 074356 -0. 00927 -0. 07480 -0. 028284 -0. 011580 -0. 024255 0. 038982 -0. 002917 -0. 013729 -0. 042369 -0. 03543 -0. 075584 -0. 066724 0. 012485 0. 142496 -0. 008769 -0. 028723 0. 054168 -0. 045963 -0. 112383 0. 145210 -0. 124338 -0. 031177 0. 140016 -0. 033634 0. 054680 -0. 034625 -0. 149829 -0.24780 -0. 022721 0. 023166 0. 174319 -0. 042787 0. 00622 0. 000625 0. 15264 0. 051905 0. 076243 0. 161337 -0. 065610 -0. 121894 -0. 076625 0. 106065 0. 434898 -0. 42096 -0. 43601 0. 013340 -0. 161134 -0. 098255 -0. 022369 0. 019174 -0. 071260 -0. 25095 0. 18368 0. 408515 0. 078246 0. 048344 -0. 175564 0. 01240 0. 08311 -0. 286269 -0. 182326 -0. 10716. 0. 175306 0. 212047 0. 149860 -0. 004223 -0. 031016 0. 054117 0. 411015 . 248506 0. 336719 0. 224760 0. 037075 0. 228348 . 101202 -0. 101881 0. 072689 0. 06331 -0. 06860 0. 021453 -0. 012820 0. 083343 0. 047125 0. 033836 0. 059986 -0. 389909 0. 036628 0. 195477 0.033300 -0. 105630 0. 031410 0. 060208 -0. 076054 0. 162145 0. 096953 -0. 023536 -0. 052086 -0. 032087 -0. 164349 0. 013163 -0. 015778 -0. 020890 0. 268324 -0. 154095 0. 268701 D. 229486 -0. 015222 -0. 194824 -0. 107958 0. 104421 -0.256342 0. 053508 0. 03056 -0. 009015 0. 095797 0. 204449 0. 080988 -0. 021875 -0. 048707 10 -0.210354 -0. 102586 -0. 205689 -0.36071 0. 202335 0. 148342 0. 061510 0. 046825 0. 236413 -0. 17859 0. 017147 -0. 010775 -0. 130859 -0. 113807 -0. 051221 -0. 016453 0. 037209 0. 080132 -0. 005128 0. 064403 -0. 223732 0. 173519 0. 153251 0. 072994 -0. 160179 -0. 05813 -0. 11389 0.26797 0. 086291 0. 135606 -0. 178699 -0. 057491 0. 105004 0. 035225 0. 040895 -0. 099715 0. 088127 0. 219921 0. 009639 -0. 062394 -0. 044222 -0. 195325 -0. 055505 -0. 040882 0. 177814 0. 005211 -0. 080561 0. 091503 0. 052589 0. 039286 0. 079495 -0. 095607 -0. 258900 0. 097966 0. 211910 -0. 108037 -0. 016004 -0. 074401 -0. 095758 0. 090860 -0. 056421 -0. 015651 -0. 050651 -0. 139397 0. 075828 0. 023194 -0. 013770 -0. 003109 0. 105150 -0. 388918 0. 054597 -0. 045575 -0. 165430 -0. 020030 0. 069538 0. 172492 0. 019341 0. 140400 -0. 088304 -0. 095838 0. 050686 . 017612 -0. 047085 0. 026483 -0. 043353 15 -0. 048690 -0. 177656 0. 159062 -0. 243894 0. 076741 0. 038590 0. 028335 0. 204386 -0. 010278 0. 154580 -0. 113700 -0. 069297 0. 067036 -0. 019208 -0. 048924 0. 112828 -0. 073389Model Effect Weights Number of Inner Extracted Vehicle_ Vehicle_Size Vehicle_Size Vehicle_Size Regression Factors Model TOYOTA COMPACT LUXURY HIDSIZE Coefficients -0. 002515 -0. 089740 0. 046282 0. 047128 0. 180020 -0. 061792 -0. 080215 0. 057609 0. 031340 0. 046213 -0. 015174 0. 047328 -0. 016338 -0. 030208 0. 024862 0. 035490 0. 026059 -0. 132373 0. 065263 0. 015355 0. 072067 0. 043932 0. 033796 -0. 060541 0. 004824 -0. 017330 -0. 114315 0. 149399 -0. 000009252 0. 001289 -0. 045341 -0. 053150 0. 012028 0. 038119 0. 000324 0. 022990 0. 099478 -0. 025425 -0. 069413 0. 000128 -0. 011019 -0. 036850 -0. 078587 0. 085864 0. 000094968 10 0. 030996 0. 094449 0. 117113 -0. 159665 0. 000040605 11 -0. 082133 -0. 215497 -0. 067555 0.231767 0. 000008576 12 -0. 168294 0. 310674 0. 161259 -0. 376526 0. 000002209 13 -0. 006174 -0.331361 -0. 232731 0. 441912 0. 000000433 14 0. 115026 0. 121346 0. 048265 -0. 137295 0. 000000109 15 0. 006893 -0. 135971 0. 066319 0. 073922 2. 308348E-8 Dependent Variable Weights Number of Extracted Encoded Factors Target_ 1.000000 1. 000000 1. 000000 1. 000000 1. 000000 1. 000000 1. 000000 1. 000000 1. 000000 10 1. 000000 11 1. 000000 12 1. 000000 13 1. 000000 14 1. 000000 15 1. 000000Output 306 Parameter Estimates for Centered and Scaled Data 307 308 Encoded 309 Target_ 310 311 Intercept 0. 0000000000 312 Annual Premium 0. 0033717289 313 Claim_Amount 0. 0372294100 314 Claim_Cause COLLISION 0. 0281070780 315 Claim_Cause FIRE -. 0091445502 316 Clain_Cause HAIL 0. 0529661841 317 Claim_Cause OTHER -. 0133981367 318 Claim_Cause SCRATCH/DENT -. 0925053775 319 Claim_Date 01/15/2019 0. 0115941 488 320 Claim Date 12/01/2018 -. 0134851809 321 Claim_Date 12/15/2018 0. 0040299755 322 Claim_Report_Type AGENT -. 0086099043 323 Claim_Report_Type BRANCH -. 0103751116 324 Claim_Report_Type CALL CENTER -. 0040107955 325 Claim_Report_Type WEB 0. 0295258603 326 Employment_Status DISABLED 0. 0065732747 327 Employment_Status EMPLOYED -. 0144756464 328 Employment_Status MEDICAL LEAVE 0. 0010922242 329 Employment_Status RETIRED -. 0108900284 330 Employment_Status UNEMPLOYED 0. 0173436645 331 Gender F -. 0725723224 332 Gender M 0. 0725723224 333 IMP_Education BACHELOR -. 0095337803 334 IMP_Education COLLEGE -. 0061848850 335 IMP_Education DOCTOR -. 0063936567 336 IMP_Education HIGH SCHOOL OR BELOW 0. 0034551918 337 IMP_Education HASTER 0. 0251812826 338 IMP_Location RURAL 0. 0006486248 339 IMP_Location SUBURBAN -. 0099998994 340 IMP_Location URBAN 0. 0121167686 341 IMP_Outstanding_Balance -. 0219417509 342 Income -. 0166967766 343 Marital Status DIVORCED -. 0120462557 344 Marital_Status MARRIED -. 0132389678 345 Marital Status SINGLE 0. 0245321107 346 Monthly_Premium 0. 0033717289 347 Months_Since_Last_Claim 0. 0079561368 348 Months_Since_Policy_Inception -. 0077169503 349 State_Code IA 0. 0093691477 350 State_Code KS 0. 0030608636 351 State_Code NO -. 0015842193 352 State_Code NE 0. 0038698523 353 State_Code OK -. 0204127410 354 Vehicle_Class FOUR-DOOR CAR 0. 0654362214 355 Vehicle_Class LUXURY CAR -. 0132749406 356 Vehicle_Class LUXURY SUV -. 0205557889 357 Vehicle_Class SPORTS CAR -. 0497218359 358 Vehicle_Class SUV -. 0971156776 359 Vehicle_Class TWO-DOOR CAR 0. 0538581983 360 Vehicle_Model CHEVROLET -. 0026304647 361 Vehicle Model FORD -. 0073912677 362 Vehicle_Model HONDA 0. 0142296280 363 Vehicle Model TOYOTA -. 0038166372 364 Vehicle_Size COMPACT -. 0209963468 365 Vehicle_Size LUXURY 0. 0104466833 366 Vehicle_Size MIDSIZE 0. 0112782589 367CO Parameter Estimates Encoded Target_ Intercept 0. 0520434719 Annual Premium 0. 0000025842 Clain Amount 0. 0000129425 Clain_Cause COLLISION 0. 0136817169 Claim_Cause FIRE -. 1198902107 Clain_Cause HAIL 0. 0273720932 Clain_Cause OTHER -. 0099276485 Clain_Cause SCRATCH/DENT -. 0604947248 Clain Date 01/15/2019 0. 0069331762 Claim Date 12/01/2018 -. 0065829430 Claim_Date 12/15/2016 0. 0019719434 Claim_Report_Type AGENT -. 0043711711 Claim_Report_Type BRANCH -. 0054746934 Claim_Report_Type CALL CENTER -. 0024404674 Claim_Report_Type WEB 0. 0198088479 Employment_Status DISABLED 0. 0076429038 Employment_Status EMPLOYED -. 0071625517 Employment_Status MEDICAL LEAVE 0. 0012745342 Employment_Status RETIRED -. 0137479069 Employment_Status UNEMPLOYED 0. 0096126291 Gender F -. 0347531793 Gender M 0. 0347531793 IMP_Education BACHELOR -. 0050480996 IMP_Education COLLEGE -. 0032115255 IMP_Education DOCTOR -. 0081417754 IMP_Education HIGH SCHOOL OR BELOW 0. 0018207500 IMP_Education HASTER 0. 0223426774 IMP_Location RURAL 0. 0003918336 IMP_Location SUBURBAN -. 0049701100 13 IMP_Location URBAN 0. 0077084315 IMP_Outstanding_Balance -. 0000003802 in Income -. 0000001157 Marital_Status DIVORCED -. 0081728083 Marital_Status MARRIED -. 0064567222 Marital Status SINGLE 0. 0134033967 Monthly_Premium 0. 0000310105 Months_Since Last_Claim 0. 0001716268 Months_Since_Policy_Inception -. 0000655873 State_Code IA 0. 0048649662 State_Code KS 0. 0024714590 State_Code No -. 0008314931 State_Code NE 0. 0023027268 State_Code OK -. 0164569225 Vehicle_Class FOUR-DOOR CAR 0. 0313628535 Vehicle_Class LUXURY CAR -. 0264280883 Vehicle_Class LUXURY SUV -. 0321436717 Vehicle_Class SPORTS CAR -. 0549488507 Vehicle_Class SUV -. 0586674883 Vehicle_Class TWO-DOOR CAR 0. 0325779476 Vehicle Model CHEVROLET -. 0014553088 Vehicle_Model FORD -. 0040502397 Vehicle_Model HONDA 0. 0080267629 Vehicle Model TOYOTA -. 0020878907 Vehicle_Size COMPACT -. 0126512208 Vehicle_Size LUXURY 0. 0082256179 19 Vehicle_Size MIDSIZE 0. 0058946631Output 444 Fit Statistics 445 446 Target=Fraudulent_Claim Target Label=Fraudulent_Claim 447 448 Fit 449 Statistics Statistics Label Train Validation 450 451 ASE Average Squared Error 0. 05 0. 05 452 _DIV_ Divisor for ASE 5996.00 4004. 00 453 HAX_ Maximum Absolute Error 0. 96 0. 98 154 NOBS Sum of Frequencies 2998.00 2002.00 455 _RASE_ Root Average Squared Error 0.23 0. 23 456 SSE Sum of Squared Errors 317.68 218.75 457 DISF Frequency of Classified Cases 2998.00 2002.00 458 MISC Hisclassification Rate 0.06 D. 06 459 WRONG Number of Wrong Classifications 183.00 124.00 460 461 462 463 464 Classification Table 465 466 Data Role=TRAIN Target Variable=Fraudulent_Claim Target Label=Fraudulent_Claim 467 468 Target Outcome Frequency Total 469 Target Outcome Percentage Percentage Count Percentage 470 471 93. 8959 100 2815 93. 8959 472 6. 1041 100 183 6. 1041 473 474 475 Data Role=VALIDATE Target Variable=Fraudulent_Claim Target Label=Fraudulent_Claim 476 477 Target Outcome Frequency Total 478 Target Outcome Percentage Percentage Count Percentage 479 180 93. 8062 100 1878 93. 8062 481 6. 1938 100 124 6. 1938 482 483 484 485 486 Event Classification Table 487 488 Data Role=TRAIN Target=Fraudulent_Claim Target Label=Fraudulent_Claim 489 190 False True False True 491 Negative Negative Positive Positive 492 493 183 2815 494 495 496 Data Role=VALIDATE Target=Fraudulent_Claim Target Label=Fraudulent_Claim 497 498 False True False True 499 Negative Negative Positive Positive 500 501 124 1878 102Assessment Score Rankings Data Role=TRAIN Target Variable=Fraudulent_Claim Target Label=Fraudulent_Claim Mean Cumulative Cumulative Number of Posterior Depth Gain Lift Lift Response Response Observations Probability 5 282. 259 3. 82259 3. 82259 23.3333 23.3333 150 0. 16868 10 244. 033 3. 05807 3. 44033 18. 6667 21. 0000 150 0. 14642 15 231. 291 3. 05807 3.31291 18. 6667 20. 2222 150 0. 13418 20 205. 807 2. 29355 3.05807 14. 0000 18. 6667 150 0. 12352 25 188. 332 2. 18434 2. 88332 13.3333 17. 6000 150 0. 11438 30 165. 761 1. 52903 2. 65761 9. 3333 16. 2222 150 0. 10378 35 138. 717 0. 76452 2. 38717 4. 6667 14. 5714 150 0. 09313 40 121. 164 0. 98295 2.21164 6. 0000 13. 5000 150 0. 08414 45 103.871 0. 65530 2. 03871 4. 0000 12. 4444 150 0. 07555 50 87.978 0. 43980 1. 87978 2. 6846 11. 4743 149 0. 06820 55 77.833 0. 76452 1. 77833 4. 6667 10.8551 150 0. 06076 60 65. 737 0. 32765 1. 65737 2. 0000 10.1167 150 0. 05448 65 52. 982 0. 00000 1. 52982 0. 0000 9. 3381 150 0. 04678 70 42. 830 0. 10922 1. 42830 0. 6667 8. 7184 150 0. 03802 75 33. 304 0. 00000 1. 33304 0. 0000 8. 1369 150 0. 02792 80 24.969 0.00000 1. 24969 0. 0000 7. 6282 150 0. 01523 85 17.615 0. 00000 1. 17615 0. 0000 7. 1793 150 0. 00128 90 11. 078 0. 00000 1. 11078 0. 0000 6. 7803 150 0. 00000 95 5.230 0. 00000 1. 05230 0. 0000 6. 4233 150 0. 00000 100 0. 000 0. 00000 1. 00000 0. 0000 6. 1041 149 0. 00000 Data Role=VALIDATE Target Variable=Fraudulent_Claim Target Label=Fraudulent_Claim Mean Cumulative Cumulative Number of Posterior Depth Gain Lift Lift Response 4 Response Observations Probability 5 171. 750 2. 71750 2. 71750 16. 8317 16. 8317 101 0. 16890 10 157. 037 2. 42177 2.57037 15. 0000 15. 9204 100 0. 14720 15 189. 647 3.55194 2. 89647 22. 0000 17.9402 100 0. 13492 20 177. 810 2. 42177 2. 77810 15. 0000 17.2070 100 0. 12576 25 157. 807 1. 77597 2. 57807 11. 0000 15. 9681 100 0. 11752 30 139.088 1. 45306 2. 39088 9.0000 14. 8087 100 0. 10856 35 125. 710 1. 45306 2. 25710 9. 0000 13.9800 100 0. 09742 40 109. 625 0. 96871 2. 09625 6. 0000 12.9838 100 0. 08561 45 97.111 0. 96871 1. 97111 6.0000 12. 2087 100 0. 07596 50 83.871 0. 64581 1. 83871 4. 0000 11.3886 100 0. 06766 55 71. 414 0. 47956 1. 71414 2.9703 10.6171 101 0. 06070 60 63. 869 0. 80726 1. 63869 5.0000 10. 1498 100 0. 05292 65 52. 523 0. 16145 1. 52523 1. 0000 9. 4470 100 0. 04588 70 41. 644 0.00000 1. 41644 0. 0000 8.7732 100 0. 03736 75 32. 214 0. 00000 1. 32214 0. 0000 8. 1891 100 0. 02690 80 24.969 0. 16145 1. 24969 1. 0000 7. 7403 100 0. 01339 85 17.626 0. 00000 1. 17626 0. 0000 7. 2855 100 0. 00075 90 11. 099 0. 00000 1. 11099 0. 0000 6. 8812 100 0. 00000 95 5.256 0. 00000 1. 05258 0. 0000 6.5195 100 0. 00000 100 0.000 0. 00000 1. 00000 0. 0000 6. 1938 100 0. 00000Output 564 565 566 Assessment Score Distribution 567 568 Data Role=TRAIN Target Variable=Fraudulent_Claim Target Label=Fraudulent_Claim 569 570 Posterior Number Mean 571 Probability Of Number of Posterior 572 Range Events Nonevents Probability Percentage 573 574 0. 20-0.25 2 2 0. 20638 0. 1334 575 0. 15-0.20 38 140 0. 16490 5.9373 576 0. 10-0.15 103 591 0. 12405 23. 1488 577 0.05-0. 10 39 903 0. 07294 31. 4209 578 0.00-0.05 1 1179 0. 01561 39. 3596 579 580 581 Data Role=VALIDATE Target Variable=Fraudulent_Claim Target Label=Fraudulent_Claim 582 583 Posterior Number Mean 584 Probability of Number of Posterior 585 Range Events Nonevents Probability Percentage 586 587 0. 20-0.25 0 2 0. 21449 0. 0999 588 0. 15-0.20 23 106 0. 16435 6. 4436 589 0. 10-0. 15 70 430 0. 12376 24.9750 590 0.05-0. 10 28 532 0. 07230 27.9720 591 0.00-0.05 3 808 0. 01600 40. 5095 592

Question

Hello,

Can you please help me to understand this Partial Least Squares?

This is a fraudulent claim dataset, and I need to examine the results.

Thank you very much.

Results - Node: Partial Least Squares Diagram: Data Preparation and Analysis X File Edit View Window lar Score Rankings Overlay: Fraudulent_Claim Q X| Variable Importance for Projection - Q X Output Cumulative Lift v 580 581 Data Role=VALIDATE Target Variable=Fraudulent_Claim Target Label=Fraudulent_Claim 1.5 582 583 Posterior Number Mean 584 Probability of Number of Posterior 1208 Range Events Nonevents Probability Percentage 587 0. 20-0.25 0. 21449 0. 0999 1.0 588 0. 15-0.20 106 0. 16435 6. 443 Cumulative Lift 589 0. 10-0.15 430 0. 12376 24.9750 Variable Importance for Projection 590 0.05-0.10 532 0. 07230 27.9720 N 591 0.00-0.05 808 0. 01600 40. 5095 592 @ 0.5- 20 40 60 100 Depth 0.0 - - TRAIN - VALIDATE Variable Percent Variation DO X Variable Selection Number of Extracted Factors X variation accounted for by Total X variation accounted Y variation accounted for by Total Y variation accounted Variable Standardized Parameter Estimate Variable Importance for Projection Rejected by Parameter Estimate Rejected by VIP Role this factor for so far this factor for so far Annual Premium 0.00337 0.075712Yes Yes Rejected 3.4424 3.4424 6.1357 6.1357 Claim Amount 0.03723 0.391505Yes Yes Rejected 4.5328 7.9752 0.5324 6.6682 Claim Cause COLLISION 0.02811 0.264022Yes Yes Rejected 4.2163 12.1915 0.1433 6.8115 Claim Cause FIRE 0.00914 0.10615Yes Yes Rejected OUTAWN 2.2035 14.3950 0.0286 6.8401 Claim Cause HAIL 0.05297 0.860207Yes No Input 2.3866 16.7815 0.0031 6.8431 Claim Cause OTHER 0.01340 0.144922Yes Yes Rejected 2.4943 19.2758 0.0002 6.8434 Claim Cause SCRATCH/DENT -0.09251 1.297043Yes No Input 2.6307 21.9065 0.0000 6.8434 Claim Date 01/15/2019 0.01159 0.209324Yes Yes Rejected 8 2.4453 24.3518 0.0000 6.8434 Claim Date 12/01/2018 -0.01349 0.245676Yes Yes Rejected 9 1.6694 26.0211 0.0000 6.8434 Claim Date 12/15/2018 0.00403 0.075896 Yes Yes Rejected 10 2.1509 28.1720 0.0000 6.8434 Claim Report Type AGENT -0.00881 0.124033Yes Yes Rejected 11 2.8308 31.0028 0.0000 6.8434 Claim Report Type BRANCH -0.01038 0.083034Yes Yes Rejected 12 2.5461 33.5489 0.0000 6.8434 Claim Report Type CALL CENTER 0.00401 0.122063Yes Yes Rejected 13 2.6111 36.1600 0.0000 6.8434 Claim Report Type WEB 0.02953 0.391459Yes Yes Rejected 14 2.2677 38.4277 0.0000 6.8434 Employment Status DISABLED 0.00657 0.08589Yes Yes Rejected 2.2094 40.6372 0.0000 6.8434 Employment Status EMPLOYED 0.01448 0.398472Yes Yes Rejected Employment Status MEDICAL LEAVE 0.00109 0.078128Yes Yes Rejected Employment Status RETIRED 0.01089 0.180412Yes Yes Rejected Employment Status UNEMPLOYED 0.01734 0.470669Yes Yes Rejected Gender F -0.07257 1.691802Yes No Input Gender M 0.07257 1.691802Yes No Input IMP Education BACHELOR -0.00953 0.092329Yes Yes Rejected 1 Absolute Standardized Parameter Estimates IMP Education COLLEGE -0.00618 0.139493Yes Yes Rejected IMP Education DOCTOR -0.00639 0.063274Yes Yes Rejected 0.10- IMP Education HIGH SCHOOL OR B. 0.00346 0.106117Yes Yes Rejected IMP Education MASTER 0.02518 0.316407Yes Yes Rejected IMP Location RURAL 0.00065 0.268459Yes Yes Rejected .08 IMP Location SUBURBAN 0.01000 0.337223Yes Yes Rejected IMP Location URBAN 0.01212 0.224383Yes Yes Rejected IMP Outstanding Balance -0.02194 0.231706Yes Yes Rejected Income 0.01670 0.394271Yes Yes Rejected .06- Marital Status DIVORCED 0.01205 0.166092Yes Yes Rejected Marital Status MARRIED -0.01324 0.422514Yes Yes Rejected Standardized Parameter Estimate 0.04- Fit Statistics Target Target Label Fit Statistics Statistics Label Train Validation Test Fraudulent Claim Fraudulent Claim ASE Average Squared Error 0.052982 0.054634 Fraudulent Claim Fraudulent Claim DIV Divisor for ASE 5996 4004 Fraudulent Claim Fraudulent Claim MAX Maximum Absolute Error 0.960766 0.98332 Fraudulent Claim Fraudulent Claim JOBS Sum of Frequencies 2998 2002 Fraudulent Claim Fraudulent Claim RASE Root Average Squared Error 0.230179 0.233738 0.00 Fraudulent Claim Fraudulent Claim SSE Sum of Squared Errors 317.6818 218.7526 Variable Fraudulent Claim Fraudulent Claim DISF Frequency of Classified Cases 2998 2002 Fraudulent Claim Fraudulent Claim MISC 0. 0+ Misclassification Rate 0.061041 0.061938 Fraudulent Claim Fraudulent Claim WRONG Number of Wrong Classifications 183 124Variable Summary Measurement Frequency Role Level Count ID INTERVAL INPUT INTERVAL INPUT NOMINAL 12 REJECTED NOMINAL TARGET BINARY Model Events Number Heasurement of Target Event Level Levels Order Label Fraudulent_Claim Y BINARY 2 Descending Fraudulent_Claim Predicted and decision variables Type Variable Label TARGET Fraudulent_Claim Fraudulent_Claim PREDICTED P_Fraudulent_ClaimY Predicted: Fraudulent_Claim=Y RESIDUAL R_Fraudulent_ClaimY Residual: Fraudulent_Claim-Y PREDICTED P_Fraudulent_ClaimN Predicted: Fraudulent_Claim=N RESIDUAL R_Fraudulent_ClaimN Residual: Fraudulent_Claim-N FROM F_Fraudulent_Claim From: Fraudulent_Claim INTO I_Fraudulent_Claim Into: Fraudulent_Claim The PLS Procedure Data Set WORK. TMP_TRAIN Factor Extraction Method Partial Least Squares PLS Algorithm NIPALS Number of Response Variables Number of Predictor Parameters 55 Missing Value Handling Impute Average Number of Factors 15 Number of Observations Read 2998 Number of Observations Used 2998The PLS Procedure Percent Variation Accounted for by Partial Least Squares Factors Number of Extracted Model Effects Dependent Variables Factors Current Total Current Total 3. 4424 3. 4424 6. 1357 6.1357 4. 5326 7. 9752 0. 5324 6.6662 4. 2163 12. 1915 0. 1433 6. 8115 2. 2035 14. 3950 0.0206 6. 0401 2. 3866 16. 7815 0.0031 6. 8431 2. 4943 19.2758 0. 0002 6.8434 2.6307 21.9065 0. 0000 6.8434 2. 4453 24. 3518 0.0000 6. 8434 1. 6694 26.0211 0.0000 6.8434 10 2. 1509 28. 1720 0. 0000 6.8434 11 2. 8308 31. 0026 0.0000 6.8434 12 2. 5461 33. 5489 0.0000 6.8434 13 2. 6111 36. 1600 0.0000 6. 8434 14 2. 2677 38. 4277 0.0000 6.8434 15 2. 2094 40. 6372 0. 0000 6. 8434Model Effect Loadings Employment_ Number of Claim Claim Claim_Report_ Claim_ Employment_ Employment Status Extracted Annual_ Claim_Cause Claim_Cause Claim_Cause Claim_Cause Claim_Cause Claim_Date Claim_Date Claim_Date Report_Type Report_Type Type CALL Report_Type Status Status MEDICAL Factors Premium Claim_Amount COLLISION FIRE HAIL OTHER SCRATCH/DENT 01/15/2019 12/01/2018 12/15/2018 AGENT BRANCH CENTER WEE DISABLED EMPLOYED LEAVE 0. 021559 -0. 140622 0. 000067968 0. 011423 0. 174050 0. 011537 -0. 231093 0. 048089 -0. 060554 0. 021348 -0. 016504 -0. 006557 -0. 035904 0. 070240 -0. 025563 -0. 144650 0. 027010 -0. 001410 0. 083753 0. 005691 -0. 058466 0. 202512 -0. 040649 -0. 225120 0. 020207 -0. 016498 0. 00000174 0. 062768 0. 010219 0. 010666 0. 06012 0. 017079 0. 329364 -0. 030602 0. 004830 0. 213612 0.337704 -0. 034274 -0. 101869 -0. 152498 -0. 168484 0. 035165 -0. 012246 -0. 016499 D. 067726 -0. 071699 -0. 035263 0. 038463 0. 130008 -0. 384180 0. 038265 -0. 089173 0. 549476 -0. 146301 -0. 030896 -0. 078251 0. 111873 0. 198378 -0. 152416 0. 10825 0. 01620 -0. 080243 -0. 089395 0. 141882 0. 065723 -0. 07527 0. 167336 -0. 070304 0. 207174 -0. 011319 -0. 044788 0. 104635 -0. 124084 0. 052441 0. 165689 0. 054775 -0. 084338 0. 039716 0. 010090 0. 067449 -0. 006228 -0. 092532 -0. 005941 -0. 020221 -0. 050206 -0. 332313 0. 207707 -0. 063259 0. 067703 0. 214949 -0. 088394 -0. 112381 0. 184001 -0. 063169 -0. 087245 0. 12771 0. 080061 -0. 166413 -0. 090997 -0. 067679 0. 025820 0. 047132 0. 482489 0. 061673 -0. 206340 0. 038852 0. 155551 0. 131356 -0. 033624 -0. 163282 0. 170645 -0. 037441 0. 014062 0. 070741 -0. 072706 -0. 028791 0. 002810 0. 02878 0. 116584 -0. 415623 0. 014858 0. 036055 -0. 178191 -0. 140435 0. 197963 -0. 036554 -0. 117638 -0. 046768 0. 143139 0. 092437 -0. 16975 0. 082630 -0. 000270 0. 033063 0. 105315 0. 074779 0. 300250 0. 031868 0. 058800 -0. 065432 -0. 063947 -0. 028239 0. 03011 0. 170206 -0. 105680 -0. 033345 -0. 043935 -0. 031657 0. 056113 0. 037787 0. 037301 . 223534 0. 115256 -0. 216063 -0. 183311 -0. 113633 0. 093429 0. 172151 -0. 103672 0. 021653 -0. 078699 0. 178585 -0. 114611 -0. 042848 0. 149370 -0. 122122 0. 002676 -0. 046264 0. 044348 0. 002767 11 0. 066891 0. 174958 0. 287518 0. 197708 -0. 143736 -0. 169957 -0. 064243 -0. 065667 -0. 131979 0. 186026 0. 109094 -0. 018993 -0. 042710 -0. 076273 -0. 065655 0. 019508 0. 011476 12 0. 057651 0. 094267 -0. 109190 0. 366603 0. 060103 0. 100529 -0. 03637 0. 064486 -0. 128584 0. 076120 0. 232278 -0. 040783 0. 239482 0. 101880 0. 12945 0. 010694 0. 025590 13 -0. 113239 0. 139253 -0. 048208 0. 205207 -0. 064171 0. 078019 0. 066877 0. 031014 0. 288606 -0. 314668 0. 021305 -0. 065834 0. 046925 0. 003155 -0. 183763 -0. 049117 0. 024919 14 0. 110523 -0. 051349 0.210576 0. 039927 -0. 024572 -0. 057946 0. 202657 0. 02215 -0. 176518 0. 195062 0. 208988 0. 056605 0. 122697 -0. 219271 -0. 101406 0. 136996 0. 140658 15 -0. 054217 0. 049524 -0. 205297 -0. 121196 0. 226838 -0. 083063 0. 068113 0. 078165 0. 017372 -0. 081374 -0.356391 0. 111911 0. 169711 0. 152492 -0. 095768 -0. 034399 0. 043904 Model Effect Loadings Number of Employment Employment IMP_Education Marital_ Marital Marital Extracted Statu Status IMP_Education IMP_Education IMP_Education HIGH SCHOOL IMP_Education IMP_Location IMP_Location IMP_Location IMP_Outstanding_ Status Status Status Factors RETIRED UNEMPLOYED Gender F Gender M BACHELOR COLLEGE DOCTOR OR BELOU MASTER RURAL SUBURBAN URBAN Balance Income DIVORCED MARRIED SINGLE -0. 013097 0. 167135 -0. 520479 0. 520479 -0. 011823 -0. 034190 -0. 009740 0. 038007 0. 021025 -0. 099357 0. 099409 -0. 022611 -0. 015332 0. 142684 -0. 034246 -0. 149323 0. 194861 -0. 114265 -0. 312373 0. 163536 -0. 163536 0. 005135 -0. 035449 0. 020634 -0. 063634 0. 144735 3. 25275 0. 398780 0. 244257 -0. 06417 0. 317955 -0. 016026 0. 221243 -0. 234946 0. 053237 0. 326815 0.267704 -0. 267704 -0. 054488 0. 044210 0. 084902 0. 042825 0. 002811 -0. 142215 0. 236846 -0. 153395 -0. 060436 -0. 343651 0. 002473 0. 189343 0. 210123 0. 012535 -0. 123670 -0. 280362 0. 280362 -0. 115221 0. 062187 0. 001176 0. 057917 -0. 011524 . 00566 0. 076411 0. 103774 -0. 099059 0. 094701 -0. 127574 0. 198370 -0. 119491 0. 150101 -0. 016570 0. 121140 0. 121140 0. 201122 -0. 018341 0. 084312 -0. 178805 -0. 063361 0. 007274 -0. 036829 0. 039481 0. 077093 -0. 024279 0. 205838 -0. 176817 0.032320 -0. 021676 -0. 009531 -0. 049215 0. 049215 0. 001358 -0. 145947 0. 032959 0. 137519 -0. 007402 -0. 138800 -0. 014679 0. 164959 0. 157046 0. 003651 0. 015531 -0. 030522 0. 046700 -0. 132914 0. 033886 0. 064236 -0. 064236 -0. 156973 D. 026550 -0. 085569 0. 129146 0. 059842 -0. 038886 0. 051775 0. 025321 0. 107493 -0. 122140 -0. 124411 0. 121150 -0.035532 -0. 113706 -0. 119324 -0. 017124 0. 017124 0. 104309 0. 128437 -0. 204029 -0. 181564 0. 053614 0. 107915 0. 035335 -0. 158874 0. 026490 -0. 131175 0. 175054 -0. 100571 -0. 028306 -0. 035577 -0. 197807 0. 062885 0. 062885 0. 188142 0. 138127 -0. 086241 0. 000699 -0. 020331 0. 013912 0. 073451 0. 079366 -0. 118450 -0. 314350 -0. 016822 0. 104658 0. 130792 10 0. 088922 -0. 067977 0. 112484 -0. 112484 -0. 289117 0. 099302 0. 194833 0. 133194 -0. 045231 -0. 114169 0. 071335 0. 028923 0. 008387 -0. 277760 -0. 179707 0. 189899 -0. 068018 11 0. 123709 -0. 050317 -0. 103958 0. 103958 0. 031780 -0. 043369 0. 139848 -0. 083190 0. 063484 0. 127687 -0. 189554 0. 108160 0. 146668 -0. 061026 0. 236607 -0. 180529 0. 011700 12 -0. 079433 0. 072450 0. 001242 -0. 001242 0. 074268 -0. 104181 0. 008358 -0. 023579 0. 087447 0. 111207 0. 050009 0. 181124 0. 184281 -0. 067310 -0. 023720 0. 085116 -0. 076251 13 -0. 033639 0. 145546 0. 069884 -0. 069884 -0. 032683 0. 110956 -0. 135876 0. 034708 -0. 098593 0. 116641 -0. 032891 -0. 080734 0. 141270 -0. 101615 -0. 055724 0. 101457 -0. 068784 0. 022411 -0. 048148 -0. 078237 0. 078237 -0. 187447 0. 126944 -0. 206336 0. 148775 -0. 009545 0. 232592 0. 164783 0. 034022 0. 082117 0. 091513 0. 247680 0. 103720 -0. 315652 15 -0. 336659 0. 211133 0. 072295 -0. 072295 0. 190368 -0. 123776 -0. 023839 0. 136793 0. 139439 -0. 026099 -0. 037408 0. 075367 0. 111262 -0. 083202 0. 236127 -0. 199744 0. 033613 Model Effect Loadings Vehicle_ Number of Months_Months_Since Class Vehicle Vehicle Vehicle Vehicle_ Vehicle_ Extracted Monthly_ Since_Last_ Policy State_Code State_Code State_Code State_Code State_Code FOUR-DOOR Class LUXURY Class LUXURY Class SPORTS Vehicle_ Class Model Vehicle_ Vehicle_ Factors Premium claim Inception CAR CAP SUV CAR Class SUV TWO-DOOR CAR CHEVROLET Model FORD Model HONDA 0. 021559 0. 070714 -0. 021037 0. 020359 0. 038401 -0. 016502 -0. 004478 -0. 038537 0. 219627 -0. 014422 -0. 022931 -0. 127622 -0. 302547 . 108866 -0. 023964 -0. 007812 0. 018199 -0. 001410 0. 007786 0. 007426 0. 047415 -0. 013835 -0. 022456 0. 039407 -0. 07869 0. 129956 -0. 010219 -0. 008042 -0. 096477 -0. 188952 0. 084209 0. 028526 -0. 019249 0. 032882 0. 004830 -0. 035462 0. 016186 0. 025323 -0. 013016 -0. 00498 0. 00704 -0. 028207 -0. 028452 0. 011036 0. 002847 -0. 053972 -0. 017999 . 079016 0. 004375 -0. 027844 0. 048950 -0. 089173 -0. 116694 -0. 153673 -0. 161878 -0. 007139 0. 16343 0. 00585 0. 01536. 0. 16807 0. 000984 -0. 083702 -0. 024490 0. 071500 0. 186601 -0. 031140 -0. 000494 0. 023032 0. 207174 0. 000033224 -0. 036254 0. 129066 -0. 073468 -0. 06703 -0. 074272 0. 076559 0. 47804 -0. 34247 -0. 376099 0. 033519 0. 204858 -0. 130298 -0. 019629 0. 025891 -0. 080216 -0. 332313 0. 113487 0. 303393 0. 126430 0. 054072 -0. 21850 -0. 012276 0. 10196 0. 285504 0. 185859 -0. 084249 0. 159257 0. 20179 0. 160157 0. 007172 0. 037064 0. 036558 0. 482489 0. 210354 0. 241 455 -0. 210097 -0. 00146 0. 19396 0. 072135 0. 068006 0. 016292 0. 027419 -0. 054058 0. 034665 -0. 001831 -0. 025121 -0. 045898 0. 034844 0. 059658 -0. 415623 0. 086040 0. 257294 -0. 05653 -0. 080540 0. 09663 0. 08843 -0. 10006 0.225622 0. 059509 -0. 030325 -0. 039166 -0. 061082 0. 208496 -0. 018802 -0. 004883 0. 000734 0. 300250 -0. 058385 -0. 088123 0. 349095 -0. 11423 -0. 21576 -0. 10899 0. 05114 0. 304942 0. 129634 0. 013212 -0. 000979 0. 135661 0. 205051 0. 084360 -0. 007323 0. 054004 10 -0.216063 -0. 093716 -0. 207594 -0. 275292 0. 14176 0. 097068 0. 03775 0. 085623 0.234414 -0. 135478 -0. 054758 -0. 032735 0. 157020 0. 058355 -0. 032310 -0. 042931 0. 025196 11 0. 066891 0. 017344 0. 041455 -0. 261168 0. 162422 0. 15924 0. 079077 -0. 108418 -0. 042775 -0. 098910 0. 214554 0. 080680 0. 146552 -0. 189859 -0. 066237 0. 090838 0. 015705 12 0. 057651 -0. 046235 0. 065948 0. 170816 0. 02998 -0. 05692 -0. 02825 -0. 16944 -0. 070789 -0. 028489 0. 173965 0. 014722 -0. 050729 0. 073438 0. 046116 0. 040413 0. 077028 13 -0. 113239 -0. 165726 0. 082074 0. 211772 -0. 068500 -0. 01108 -0. 085551 -0. 127470 0. 090759 -0. 083215 0. 003535 -0. 028291 -0. 143637 . 068683 0. 03198 -0. 007601 0. 006102 14 0. 110523 -0. 337421 0. 084077 0. 004964 0. 173912 -0. 026902 D. 061014 0. 124596 -0. 016492 0. 103765 -0. 061975 -0. 078057 0. 035220 0. 020717 -0. 035381 0. 047900 0. 026922 -0. 054217 -0. 215333 0. 102096 -0. 262582 0. 035087 0. 066902 . 041534 0. 213620 -0. 019516 0. 142951 -0. 106415 -0. 093226 . 078254 0. 004969 -0. 066998 0. 112604 -0. 06891269 Model Effect Loadings 70 71 Number of 12 Extracted Vehicle Vehicle Size Vehicle Size Vehicle Size 73 Factors Model TOYOTA COMPACT LUXURY HIDSIZE 74 75 0. 013850 -0.060867 0. 027144 0. 034779 76 2 -0. 040870 -0. 083477 0. 051940 0. 037932 3 -0. 023986 0. 035418 0. 023322 -0. 046203 78 4 0. 008953 0.009407 -0. 128627 0. 077354 79 0. 071336 0. 070642 -0. 007777 -0. 056114 80 -0. 005535 -0. 094600 0. 137198 -0. 009012 81 -0. 047244 -0. 077048 0. 018306 0. 054681 82 8 0. 022755 0. 095243 0. 007933 -0. 087882 83 9 -0. 023744 -0. 076142 -0. 116274 0. 143228 84 10 0. 050377 0. 144340 0. 126341 -0. 209066 85 11 -0. 040417 -0. 273568 -0. 099983 0. 303665 86 12 -0. 160627 0.362242 0. 199671 -0. 446754 87 13 -0. 029954 -0. 341621 -0. 232205 0. 450462 8:8 14 0. 108905 0.143464 0. 033042 -0. 146376 39 15 0. 020647 -0. 125952 0. 040118 0. 082623 91Model Effect Weights Employment Number of Claim_ Claim_ Claim_Report_ Claim_Employment_ Employment_ Status Extracted Annual_ Claim_Cause Claim_Cause Claim_Cause Claim_Cause Claim_Cause Claim_Date Claim_Date Claim_Date Report_Type Report_Type Type CALL Report_Type Status Status MEDICAL Factors Premium Claim_Amount COLLISION FIRE HAIL OTHER SCRATCH/DENT 01/15/2019 12/01/2018 12/15/2018 AGENT BRANCH CENTER WEB DISABLED EMPLOYED LEAVE 0. 021564 -0. 049627 0. 054526 -0. 014988 0. 241260 -0. 023168 -0. 357360 0. 059521 -0. 070180 0. 021642 -0. 032626 -0. 020204 -0. 034614 0. 107968 -0. 002579 -0. 097983 0. 020601 -0. 007272 0. 365085 0. 190023 -0. 096030 0. 175717 0. 125012 -0. 362527 0. 023640 -0. 013124 0. 006189 -0. 050684 0. 04540 0. 016641 0. 107919 0. 088852 0. 211751 -0. 031497 -0. 009276 3. 437144 0. 311035 -0. 034707 -0. 146967 -0. 123312 -0. 121322 -0. 004267 0. 014001 -0. 010543 0. 051987 -0. 099837 0. 004836 0. 051307 0. 113671 -0. 365092 0. 013790 -0. 045963 0. 634698 -0. 192953 0. 009699 -0. 109082 0. 141094 0. 272253 -0. 135477 0. 086576 0. 024076 -0. 07140 -0. 065430 0. 137608 0. 028016 0. 093391 0. 184088 -0. 089394 0. 152645 0. 054258 -0. 082268 0. 125416 -0. 060641 0. 044645 0. 141604 0. 099805 -0. 098202 0. 016767 0. 052318 0. 098248 -0. 060374 -0. 129090 -0. 025669 -0. 009521 0. 030112 -0. 25095 0. 235392 -0. 120225 0. 044375 0. 259321 -0. 042252 -0. 131561 0. 144172 -0. 025548 -0. 092363 0. 146729 0. 090238 -0. 190013 -0. 103627 -0. 068206 0. 043539 0. 085181 0. 411015 0. 054781 0. 209295 0. 110541 . 119083 D. 206568 -0. 046309 0. 206869 0. 166055 0. 002826 0. 041584 0. 019157 0. 049520 0. 025985 0. 015859 0. 063469 0. 138503 8 -0. 389909 -0. 043148 0. 066820 -0. 199462 -0. 165724 D. 176057 -0. 025489 0. 070082 -0. 076229 0. 133756 0. 076887 -0. 179699 0. 095766 0. 018919 0. 037868 0. 285564 0. 022607 0. 268324 -0. 055697 0. 050475 0. 042852 0. 014718 -0. 149392 0. 043275 0. 165975 -0. 042126 -0. 093587 -0. 081651 0. 063884 -0. 012558 0. 043028 -0. 006032 0. 349470 0. 154551 10 -0. 210354 -0. 140838 -0. 044113 0. 188498 0. 145980 -0. 155013 0. 001943 -0. 099723 0. 147695 -0. 066445 -0. 028896 0. 151951 -0. 127594 -0. 013438 -0. 081558 0. 054162 0. 008170 11 0. 080132 0. 200253 0.275960 . 308205 0. 139849 0. 151650 -0. 075303 -0. 052025 -0. 158223 0. 201168 0. 060951 -0. 032448 0. 014712 -0. 057383 -0. 111200 0. 022167 0. 018223 12 0. 040895 0. 067202 -0. 115819 . 424778 0. 049847 0. 117332 -0. 032220 0. 073311 -0. 081193 0. 021397 -0. 230293 -0. 052899 0. 254437 0. 098111 -0. 178752 0. 006806 0. 026078 13 -0. 09560 -0. 154652 -0. 011304 0. 218060 -0. 063505 0. 064059 0. 028136 0. 031284 0. 263471 -0. 289694 0. 056618 -0. 052559 0. 026880 -0. 039369 -0. 221172 -0. 021643 -0. 002698 14 0. 105150 -0. 039867 0. 178882 ). 013862 0. 017039 0. 080712 0. 191340 0. 005537 0. 177643 0. 182596 0. 156456 0. 07492 0. 101690 -0. 194694 -0. 130576 0. 136061 -0. 131433 15 -0. 048690 0. 065797 -0. 195872 -0. 133516 0. 205044 -0. 097411 0. 096308 0. 084419 0. 031111 -0. 100263 -0. 295678 0. 076329 0. 126330 0. 163469 -0. 119194 -0. 032835 0. 073431 Model Effect Weights Number of Employment Employment_ IMP_Education Marital_ Marital_ Marital_ Extracted Status Status IMP_Education IMP_Education IMP_Education HIGH SCHOOL IMP_Education IMP_Location IMP_Location IMP_Location IMP_Outstanding_ Status Status Status Factors RETIRED UNEMPLOYED Gender F Gender HI BACHELOR COLLEGE DOCTOR OR BELOU MASTER RURAL SUBURBAN URBAN Balance Income DIVORCED MARRIED SINGLE -0. 043423 0. 120263 -0. 475110 0. 475110 -0. 024137 -0. 039837 -0. 017040 0. 026760 0. 075333 -0. 041961 0. 008951 0. 032732 -0. 055139 -0. 097573 -0. 046694 -0. 108665 0.159336 -0. 10140 0. 220066 0. 334263 -0. 334263 -0. 038977 -0. 008151 -0. 022182 0. 052097 0. 182415 0. 233880 -0. 349280 0. 200777 -0. 133735 0. 205659 -0.031863 0. 192364 -0.189840 0. 079081 0. 313500 0. 208879 -0. 208879 -0. 077684 0. 064223 -0. 083235 0. 051489 -0. 008266 -0. 158628 0. 283846 -0. 196270 -0. 086328 -0. 350330 -0. 018948 -0. 15989 0. 194379 0. 06417 -0. 14740 -0.271579 0.271579 0. 055431 0. 048729 0. 032652 0. 013450 -0. 03577 -0. 005763 0. 071501 0. 085452 -0. 061999 0. 089897 -0. 068229 0. 153827 -0. 117382 0. 141890 -0. 02509 0. 120254 -0. 120254 0. 208436 -0. 059250 0. 088693 -0. 145569 -0. 064727 -0. 034284 -0. 039895 0. 087171 0. 138604 -0. 045821 0. 211381 -0. 193573 0. 046627 -0. 070990 -0. 025548 0.036967 0. 036967 0. 030260 -0. 139751 0. 008027 0. 167628 0. 012856 -0. 149204 -0. 000575 0. 157863 0. 196303 -0. 069509 -0. 037845 -0. 009966 0. 041642 -0. 189960 -0. 061039 0. 061662 -0. 061662 -0. 125842 0. 063299 -0. 171400 0. 083016 0. 082358 -0. 004475 0. 059866 -0. 071916 0. 114143 -0. 291316 -0. 084435 0. 089674 -0.032463 -0. 121335 -0. 29538 -0. 031217 0. 031217 0. 150334 0. 099815 0. 224495 0. 184846 0. 045185 0. 116831 0. 00514 0. 129616 0. 019577 -0. 459538 0. 164767 -0. 138234 0. 022172 9 0. 040630 -0. 333010 -0. 022814 0. 022814 0. 049959 -0. 129134 0. 057758 0. 084772 -0. 046040 -0. 034817 -0. 085415 0. 145996 -0. 116408 -0. 667419 -0. 111801 -0. 033167 0. 127189 10 0. 126892 -0. 081382 0. 091058 -0. 091058 -0. 298193 0. 088756 0. 250246 0. 117981 -0. 024995 -0. 076270 0. 023620 0. 050086 0. 068127 -0. 323910 -0. 124452 0. 158307 -0.077124 11 0. 108749 -0. 028223 0. 106582 0. 106582 0. 048462 -0. 064676 0. 140622 -0. 090501 0. 08370 0. 164957 -0. 187553 0. 06635 0. 207659 -0. 085010 0. 244181 -0. 163835 -0. 013101 12 -0. 09236 0. 10574 0. 012902 -0. 012902 0. 063685 -0. 080695 -0. 029095 -0. 011863 0. 071418 0. 129144 0. 052425 -0. 203106 0. 225770 -0. 088007 -0. 022547 0. 112908 -0. 108330 13 -0. 048890 0. 15241 0. 058217 -0. 058217 0. 067985 0. 138697 -0. 189481 0. 063486 -0. 097947 0. 067604 0. 002066 0. 073838 0. 171020 -0. 090256 0. 010646 0. 122261 -0. 145538 14 -0. 06224 -0. 00041 -0. 068478 0. 068478 -0. 153922 0. 102352 -0. 214911 0. 123718 0. 024463 -0. 249170 0. 166661 0. 049075 0. 104901 0. 073992 0. 314953 0. 072776 -0.335161 -0. 411432 0. 239350 0. 063086 -0. 063086 0. 199887 -0. 144437 0. 001487 -0. 151192 0. 165392 -0. 031540 -0. 025064 0. 065298 0. 092499 -0. 103131 0. 272034 -0. 170161 -0. 028445 Model Effect Weights Vehicle_ Number of Months_Months_Since_ Class Vehicle_ Vehicle_ Vehicle Vehicle_ Vehicle_ Extracted Monthly_ Since_Last Policy_ State_Code State_Code State_Code State_Code State_Code FOUR-DOOR Class LUXURY Class LUXURY Class SPORTS Vehicle_ Class Model Vehicle_ Vehicle_ Factors Premium Claim Inception TA CAR CAR SUV CAR Class SUV TWO-DOOR CAR CHEVROLET Model FORD Model HONDA 0. 021564 0. 067863 -0. 025081 0. 037962 0. 032908 -0. 019866 0. 009208 -0. 073759 0. 281953 -0. 025570 -0. 040853 -0. 186982 -0. 404009 0. 174612 -0. 017184 -0. 020539 D. 041268 -0. 007272 -0. 033853 -0. 007002 0. 054549 0. 032150 -0. 006163 0. 049275 -0. 109890 0.143266 -0. 034029 -0. 054793 -0. 164015 -0. 251813 . 192639 0. 031759 -0. 041774 0. 074356 -0. 00927 -0. 07480 -0. 028284 -0. 011580 -0. 024255 0. 038982 -0. 002917 -0. 013729 -0. 042369 -0. 03543 -0. 075584 -0. 066724 0. 012485 0. 142496 -0. 008769 -0. 028723 0. 054168 -0. 045963 -0. 112383 0. 145210 -0. 124338 -0. 031177 0. 140016 -0. 033634 0. 054680 -0. 034625 -0. 149829 -0.24780 -0. 022721 0. 023166 0. 174319 -0. 042787 0. 00622 0. 000625 0. 15264 0. 051905 0. 076243 0. 161337 -0. 065610 -0. 121894 -0. 076625 0. 106065 0. 434898 -0. 42096 -0. 43601 0. 013340 -0. 161134 -0. 098255 -0. 022369 0. 019174 -0. 071260 -0. 25095 0. 18368 0. 408515 0. 078246 0. 048344 -0. 175564 0. 01240 0. 08311 -0. 286269 -0. 182326 -0. 10716. 0. 175306 0. 212047 0. 149860 -0. 004223 -0. 031016 0. 054117 0. 411015 . 248506 0. 336719 0. 224760 0. 037075 0. 228348 . 101202 -0. 101881 0. 072689 0. 06331 -0. 06860 0. 021453 -0. 012820 0. 083343 0. 047125 0. 033836 0. 059986 -0. 389909 0. 036628 0. 195477 0.033300 -0. 105630 0. 031410 0. 060208 -0. 076054 0. 162145 0. 096953 -0. 023536 -0. 052086 -0. 032087 -0. 164349 0. 013163 -0. 015778 -0. 020890 0. 268324 -0. 154095 0. 268701 D. 229486 -0. 015222 -0. 194824 -0. 107958 0. 104421 -0.256342 0. 053508 0. 03056 -0. 009015 0. 095797 0. 204449 0. 080988 -0. 021875 -0. 048707 10 -0.210354 -0. 102586 -0. 205689 -0.36071 0. 202335 0. 148342 0. 061510 0. 046825 0. 236413 -0. 17859 0. 017147 -0. 010775 -0. 130859 -0. 113807 -0. 051221 -0. 016453 0. 037209 0. 080132 -0. 005128 0. 064403 -0. 223732 0. 173519 0. 153251 0. 072994 -0. 160179 -0. 05813 -0. 11389 0.26797 0. 086291 0. 135606 -0. 178699 -0. 057491 0. 105004 0. 035225 0. 040895 -0. 099715 0. 088127 0. 219921 0. 009639 -0. 062394 -0. 044222 -0. 195325 -0. 055505 -0. 040882 0. 177814 0. 005211 -0. 080561 0. 091503 0. 052589 0. 039286 0. 079495 -0. 095607 -0. 258900 0. 097966 0. 211910 -0. 108037 -0. 016004 -0. 074401 -0. 095758 0. 090860 -0. 056421 -0. 015651 -0. 050651 -0. 139397 0. 075828 0. 023194 -0. 013770 -0. 003109 0. 105150 -0. 388918 0. 054597 -0. 045575 -0. 165430 -0. 020030 0. 069538 0. 172492 0. 019341 0. 140400 -0. 088304 -0. 095838 0. 050686 . 017612 -0. 047085 0. 026483 -0. 043353 15 -0. 048690 -0. 177656 0. 159062 -0. 243894 0. 076741 0. 038590 0. 028335 0. 204386 -0. 010278 0. 154580 -0. 113700 -0. 069297 0. 067036 -0. 019208 -0. 048924 0. 112828 -0. 073389Model Effect Weights Number of Inner Extracted Vehicle_ Vehicle_Size Vehicle_Size Vehicle_Size Regression Factors Model TOYOTA COMPACT LUXURY HIDSIZE Coefficients -0. 002515 -0. 089740 0. 046282 0. 047128 0. 180020 -0. 061792 -0. 080215 0. 057609 0. 031340 0. 046213 -0. 015174 0. 047328 -0. 016338 -0. 030208 0. 024862 0. 035490 0. 026059 -0. 132373 0. 065263 0. 015355 0. 072067 0. 043932 0. 033796 -0. 060541 0. 004824 -0. 017330 -0. 114315 0. 149399 -0. 000009252 0. 001289 -0. 045341 -0. 053150 0. 012028 0. 038119 0. 000324 0. 022990 0. 099478 -0. 025425 -0. 069413 0. 000128 -0. 011019 -0. 036850 -0. 078587 0. 085864 0. 000094968 10 0. 030996 0. 094449 0. 117113 -0. 159665 0. 000040605 11 -0. 082133 -0. 215497 -0. 067555 0.231767 0. 000008576 12 -0. 168294 0. 310674 0. 161259 -0. 376526 0. 000002209 13 -0. 006174 -0.331361 -0. 232731 0. 441912 0. 000000433 14 0. 115026 0. 121346 0. 048265 -0. 137295 0. 000000109 15 0. 006893 -0. 135971 0. 066319 0. 073922 2. 308348E-8 Dependent Variable Weights Number of Extracted Encoded Factors Target_ 1.000000 1. 000000 1. 000000 1. 000000 1. 000000 1. 000000 1. 000000 1. 000000 1. 000000 10 1. 000000 11 1. 000000 12 1. 000000 13 1. 000000 14 1. 000000 15 1. 000000Output 306 Parameter Estimates for Centered and Scaled Data 307 308 Encoded 309 Target_ 310 311 Intercept 0. 0000000000 312 Annual Premium 0. 0033717289 313 Claim_Amount 0. 0372294100 314 Claim_Cause COLLISION 0. 0281070780 315 Claim_Cause FIRE -. 0091445502 316 Clain_Cause HAIL 0. 0529661841 317 Claim_Cause OTHER -. 0133981367 318 Claim_Cause SCRATCH/DENT -. 0925053775 319 Claim_Date 01/15/2019 0. 0115941 488 320 Claim Date 12/01/2018 -. 0134851809 321 Claim_Date 12/15/2018 0. 0040299755 322 Claim_Report_Type AGENT -. 0086099043 323 Claim_Report_Type BRANCH -. 0103751116 324 Claim_Report_Type CALL CENTER -. 0040107955 325 Claim_Report_Type WEB 0. 0295258603 326 Employment_Status DISABLED 0. 0065732747 327 Employment_Status EMPLOYED -. 0144756464 328 Employment_Status MEDICAL LEAVE 0. 0010922242 329 Employment_Status RETIRED -. 0108900284 330 Employment_Status UNEMPLOYED 0. 0173436645 331 Gender F -. 0725723224 332 Gender M 0. 0725723224 333 IMP_Education BACHELOR -. 0095337803 334 IMP_Education COLLEGE -. 0061848850 335 IMP_Education DOCTOR -. 0063936567 336 IMP_Education HIGH SCHOOL OR BELOW 0. 0034551918 337 IMP_Education HASTER 0. 0251812826 338 IMP_Location RURAL 0. 0006486248 339 IMP_Location SUBURBAN -. 0099998994 340 IMP_Location URBAN 0. 0121167686 341 IMP_Outstanding_Balance -. 0219417509 342 Income -. 0166967766 343 Marital Status DIVORCED -. 0120462557 344 Marital_Status MARRIED -. 0132389678 345 Marital Status SINGLE 0. 0245321107 346 Monthly_Premium 0. 0033717289 347 Months_Since_Last_Claim 0. 0079561368 348 Months_Since_Policy_Inception -. 0077169503 349 State_Code IA 0. 0093691477 350 State_Code KS 0. 0030608636 351 State_Code NO -. 0015842193 352 State_Code NE 0. 0038698523 353 State_Code OK -. 0204127410 354 Vehicle_Class FOUR-DOOR CAR 0. 0654362214 355 Vehicle_Class LUXURY CAR -. 0132749406 356 Vehicle_Class LUXURY SUV -. 0205557889 357 Vehicle_Class SPORTS CAR -. 0497218359 358 Vehicle_Class SUV -. 0971156776 359 Vehicle_Class TWO-DOOR CAR 0. 0538581983 360 Vehicle_Model CHEVROLET -. 0026304647 361 Vehicle Model FORD -. 0073912677 362 Vehicle_Model HONDA 0. 0142296280 363 Vehicle Model TOYOTA -. 0038166372 364 Vehicle_Size COMPACT -. 0209963468 365 Vehicle_Size LUXURY 0. 0104466833 366 Vehicle_Size MIDSIZE 0. 0112782589 367CO Parameter Estimates Encoded Target_ Intercept 0. 0520434719 Annual Premium 0. 0000025842 Clain Amount 0. 0000129425 Clain_Cause COLLISION 0. 0136817169 Claim_Cause FIRE -. 1198902107 Clain_Cause HAIL 0. 0273720932 Clain_Cause OTHER -. 0099276485 Clain_Cause SCRATCH/DENT -. 0604947248 Clain Date 01/15/2019 0. 0069331762 Claim Date 12/01/2018 -. 0065829430 Claim_Date 12/15/2016 0. 0019719434 Claim_Report_Type AGENT -. 0043711711 Claim_Report_Type BRANCH -. 0054746934 Claim_Report_Type CALL CENTER -. 0024404674 Claim_Report_Type WEB 0. 0198088479 Employment_Status DISABLED 0. 0076429038 Employment_Status EMPLOYED -. 0071625517 Employment_Status MEDICAL LEAVE 0. 0012745342 Employment_Status RETIRED -. 0137479069 Employment_Status UNEMPLOYED 0. 0096126291 Gender F -. 0347531793 Gender M 0. 0347531793 IMP_Education BACHELOR -. 0050480996 IMP_Education COLLEGE -. 0032115255 IMP_Education DOCTOR -. 0081417754 IMP_Education HIGH SCHOOL OR BELOW 0. 0018207500 IMP_Education HASTER 0. 0223426774 IMP_Location RURAL 0. 0003918336 IMP_Location SUBURBAN -. 0049701100 13 IMP_Location URBAN 0. 0077084315 IMP_Outstanding_Balance -. 0000003802 in Income -. 0000001157 Marital_Status DIVORCED -. 0081728083 Marital_Status MARRIED -. 0064567222 Marital Status SINGLE 0. 0134033967 Monthly_Premium 0. 0000310105 Months_Since Last_Claim 0. 0001716268 Months_Since_Policy_Inception -. 0000655873 State_Code IA 0. 0048649662 State_Code KS 0. 0024714590 State_Code No -. 0008314931 State_Code NE 0. 0023027268 State_Code OK -. 0164569225 Vehicle_Class FOUR-DOOR CAR 0. 0313628535 Vehicle_Class LUXURY CAR -. 0264280883 Vehicle_Class LUXURY SUV -. 0321436717 Vehicle_Class SPORTS CAR -. 0549488507 Vehicle_Class SUV -. 0586674883 Vehicle_Class TWO-DOOR CAR 0. 0325779476 Vehicle Model CHEVROLET -. 0014553088 Vehicle_Model FORD -. 0040502397 Vehicle_Model HONDA 0. 0080267629 Vehicle Model TOYOTA -. 0020878907 Vehicle_Size COMPACT -. 0126512208 Vehicle_Size LUXURY 0. 0082256179 19 Vehicle_Size MIDSIZE 0. 0058946631Output 444 Fit Statistics 445 446 Target=Fraudulent_Claim Target Label=Fraudulent_Claim 447 448 Fit 449 Statistics Statistics Label Train Validation 450 451 ASE Average Squared Error 0. 05 0. 05 452 _DIV_ Divisor for ASE 5996.00 4004. 00 453 HAX_ Maximum Absolute Error 0. 96 0. 98 154 NOBS Sum of Frequencies 2998.00 2002.00 455 _RASE_ Root Average Squared Error 0.23 0. 23 456 SSE Sum of Squared Errors 317.68 218.75 457 DISF Frequency of Classified Cases 2998.00 2002.00 458 MISC Hisclassification Rate 0.06 D. 06 459 WRONG Number of Wrong Classifications 183.00 124.00 460 461 462 463 464 Classification Table 465 466 Data Role=TRAIN Target Variable=Fraudulent_Claim Target Label=Fraudulent_Claim 467 468 Target Outcome Frequency Total 469 Target Outcome Percentage Percentage Count Percentage 470 471 93. 8959 100 2815 93. 8959 472 6. 1041 100 183 6. 1041 473 474 475 Data Role=VALIDATE Target Variable=Fraudulent_Claim Target Label=Fraudulent_Claim 476 477 Target Outcome Frequency Total 478 Target Outcome Percentage Percentage Count Percentage 479 180 93. 8062 100 1878 93. 8062 481 6. 1938 100 124 6. 1938 482 483 484 485 486 Event Classification Table 487 488 Data Role=TRAIN Target=Fraudulent_Claim Target Label=Fraudulent_Claim 489 190 False True False True 491 Negative Negative Positive Positive 492 493 183 2815 494 495 496 Data Role=VALIDATE Target=Fraudulent_Claim Target Label=Fraudulent_Claim 497 498 False True False True 499 Negative Negative Positive Positive 500 501 124 1878 102Assessment Score Rankings Data Role=TRAIN Target Variable=Fraudulent_Claim Target Label=Fraudulent_Claim Mean Cumulative Cumulative Number of Posterior Depth Gain Lift Lift Response Response Observations Probability 5 282. 259 3. 82259 3. 82259 23.3333 23.3333 150 0. 16868 10 244. 033 3. 05807 3. 44033 18. 6667 21. 0000 150 0. 14642 15 231. 291 3. 05807 3.31291 18. 6667 20. 2222 150 0. 13418 20 205. 807 2. 29355 3.05807 14. 0000 18. 6667 150 0. 12352 25 188. 332 2. 18434 2. 88332 13.3333 17. 6000 150 0. 11438 30 165. 761 1. 52903 2. 65761 9. 3333 16. 2222 150 0. 10378 35 138. 717 0. 76452 2. 38717 4. 6667 14. 5714 150 0. 09313 40 121. 164 0. 98295 2.21164 6. 0000 13. 5000 150 0. 08414 45 103.871 0. 65530 2. 03871 4. 0000 12. 4444 150 0. 07555 50 87.978 0. 43980 1. 87978 2. 6846 11. 4743 149 0. 06820 55 77.833 0. 76452 1. 77833 4. 6667 10.8551 150 0. 06076 60 65. 737 0. 32765 1. 65737 2. 0000 10.1167 150 0. 05448 65 52. 982 0. 00000 1. 52982 0. 0000 9. 3381 150 0. 04678 70 42. 830 0. 10922 1. 42830 0. 6667 8. 7184 150 0. 03802 75 33. 304 0. 00000 1. 33304 0. 0000 8. 1369 150 0. 02792 80 24.969 0.00000 1. 24969 0. 0000 7. 6282 150 0. 01523 85 17.615 0. 00000 1. 17615 0. 0000 7. 1793 150 0. 00128 90 11. 078 0. 00000 1. 11078 0. 0000 6. 7803 150 0. 00000 95 5.230 0. 00000 1. 05230 0. 0000 6. 4233 150 0. 00000 100 0. 000 0. 00000 1. 00000 0. 0000 6. 1041 149 0. 00000 Data Role=VALIDATE Target Variable=Fraudulent_Claim Target Label=Fraudulent_Claim Mean Cumulative Cumulative Number of Posterior Depth Gain Lift Lift Response 4 Response Observations Probability 5 171. 750 2. 71750 2. 71750 16. 8317 16. 8317 101 0. 16890 10 157. 037 2. 42177 2.57037 15. 0000 15. 9204 100 0. 14720 15 189. 647 3.55194 2. 89647 22. 0000 17.9402 100 0. 13492 20 177. 810 2. 42177 2. 77810 15. 0000 17.2070 100 0. 12576 25 157. 807 1. 77597 2. 57807 11. 0000 15. 9681 100 0. 11752 30 139.088 1. 45306 2. 39088 9.0000 14. 8087 100 0. 10856 35 125. 710 1. 45306 2. 25710 9. 0000 13.9800 100 0. 09742 40 109. 625 0. 96871 2. 09625 6. 0000 12.9838 100 0. 08561 45 97.111 0. 96871 1. 97111 6.0000 12. 2087 100 0. 07596 50 83.871 0. 64581 1. 83871 4. 0000 11.3886 100 0. 06766 55 71. 414 0. 47956 1. 71414 2.9703 10.6171 101 0. 06070 60 63. 869 0. 80726 1. 63869 5.0000 10. 1498 100 0. 05292 65 52. 523 0. 16145 1. 52523 1. 0000 9. 4470 100 0. 04588 70 41. 644 0.00000 1. 41644 0. 0000 8.7732 100 0. 03736 75 32. 214 0. 00000 1. 32214 0. 0000 8. 1891 100 0. 02690 80 24.969 0. 16145 1. 24969 1. 0000 7. 7403 100 0. 01339 85 17.626 0. 00000 1. 17626 0. 0000 7. 2855 100 0. 00075 90 11. 099 0. 00000 1. 11099 0. 0000 6. 8812 100 0. 00000 95 5.256 0. 00000 1. 05258 0. 0000 6.5195 100 0. 00000 100 0.000 0. 00000 1. 00000 0. 0000 6. 1938 100 0. 00000Output 564 565 566 Assessment Score Distribution 567 568 Data Role=TRAIN Target Variable=Fraudulent_Claim Target Label=Fraudulent_Claim 569 570 Posterior Number Mean 571 Probability Of Number of Posterior 572 Range Events Nonevents Probability Percentage 573 574 0. 20-0.25 2 2 0. 20638 0. 1334 575 0. 15-0.20 38 140 0. 16490 5.9373 576 0. 10-0.15 103 591 0. 12405 23. 1488 577 0.05-0. 10 39 903 0. 07294 31. 4209 578 0.00-0.05 1 1179 0. 01561 39. 3596 579 580 581 Data Role=VALIDATE Target Variable=Fraudulent_Claim Target Label=Fraudulent_Claim 582 583 Posterior Number Mean 584 Probability of Number of Posterior 585 Range Events Nonevents Probability Percentage 586 587 0. 20-0.25 0 2 0. 21449 0. 0999 588 0. 15-0.20 23 106 0. 16435 6. 4436 589 0. 10-0. 15 70 430 0. 12376 24.9750 590 0.05-0. 10 28 532 0. 07230 27.9720 591 0.00-0.05 3 808 0. 01600 40. 5095 592