[b4b313]: / Semantic Features / NotUsed / Comparison of ML Algos and ws vs rt.xlsx

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# % Error (Randomized values) Subtlety Sphericity Margin Lobulation Spiculation Texture Malignancy Unnamed: 8 Unnamed: 9
1 DT 1 to 1 0.7280540208717003 0.7022713321055862 0.7298956414978515 0.5506445672191529 0.5131982811540823 0.4419889502762431 0.7513812154696132 nan nan
2 DT Group to Mean 0.7374810318664644 0.6342943854324734 0.6843702579666161 0.5918057663125948 0.5447647951441579 0.48103186646433993 0.7056145675265554 nan nan
3 DT Mean to Mean 0.6934749620637329 0.6464339908952959 0.6919575113808801 0.6403641881638846 0.5781487101669196 0.4688922610015175 0.7420333839150228 nan nan
4 NN 0.6342943854324734 0.5311077389984826 0.629742033383915 0.46433990895295907 0.3975720789074355 0.27769347496206376 0.5386949924127467 nan nan
5 Bagging 1 to 1 0.6726016884114063 0.6822716807368078 0.6075211051420375 0.40076745970841715 0.32310053722183096 0.26569455103609335 0.6544896392939876 nan nan
6 Bagging Group to Mean 0.6650227617602184 0.5698027314111977 0.5974962063732635 0.4787556904400258 0.39112291350528255 0.28869499241272556 0.5667678300454919 nan nan
7 Bagging Mean to Mean 0.6544006069802479 0.5724582701061903 0.6422610015174246 0.47610015174503356 0.3846737481031586 0.29286798179057044 0.5588012139605141 nan nan
8 % Error (Radiologists) nan nan nan nan nan nan nan nan nan
9 DT 1 to 1 0.6175567833026396 0.6752608962553714 0.6108041743400859 0.5015346838551258 0.4266421117249847 0.33271945979128303 0.583793738489871 nan nan
10 DT Group to Mean 0.5614567526555387 0.5781487101669196 0.5614567526555387 0.5174506828528073 0.4946889226100152 0.35963581183611537 0.5402124430955995 nan nan
11 DT Mean to Mean 0.6039453717754173 0.6145675265553869 0.6054628224582701 0.5402124430955995 0.48254931714719274 0.3444613050075872 0.5477996965098635 nan nan
12 NN 0.644916540212443 0.5508345978755691 0.590288315629742 0.4688922610015175 0.3975720789074355 0.2959028831562974 0.5265553869499242 nan nan
13 Bagging 1 to 1 0.5567152724482614 0.5814274750576207 0.5260168841136534 0.4023023791251481 0.32371450498852333 0.23361473522641943 0.5105141980046763 nan nan
14 Bagging Group to Mean 0.5072078907435148 0.4457511380879796 0.48558421851286293 0.39719271623669333 0.35508345978753103 0.25113808801212134 0.4131259484066467 nan nan
15 Bagging Mean to Mean 0.5113808801213604 0.4666160849772042 0.5125189681335001 0.396433990895267 0.35508345978753103 0.25796661608495847 0.4150227617602125 nan nan
16 % Error (Weak Segmentation) nan nan nan nan nan nan nan nan nan
17 DT 1 to 1 0.6175567833026396 0.6678944137507674 0.6040515653775322 0.5150399017802333 0.4352363413136894 0.3683241252302025 0.6040515653775322 nan nan
18 DT Group to Mean 0.582701062215478 0.6160849772382397 0.5766312594840668 0.5083459787556904 0.4764795144157815 0.362670713201821 0.5250379362670714 nan nan
19 DT Mean to Mean 0.6130500758725341 0.6069802731411229 0.5720789074355084 0.5417298937784523 0.46433990895295907 0.4142640364188164 0.5842185128983308 nan nan
20 NN 0.5599393019726859 0.5432473444613051 0.5553869499241275 0.4476479514415781 0.3960546282245827 0.30652503793626706 0.5644916540212443 nan nan
21 Bagging 1 to 1 0.570990023023854 0.6032233307751924 0.5332310053722863 0.4164236377590729 0.3356868764390248 0.2406753645433805 0.5300076745971525 nan nan
22 Bagging Group to Mean 0.4992412746585372 0.46282245827007246 0.4696509863429096 0.38694992412743767 0.35166919575111244 0.24620637329285003 0.3983308042488329 nan nan
23 Bagging Mean to Mean 0.5117602427920735 0.4783763277693126 0.4973444613049713 0.3998482549316856 0.35849772382394957 0.25379362670711353 0.4131259484066467 nan nan
24 nan nan nan nan nan nan nan nan nan nan
25 nan nan Relative Truth vs Random nan nan nan nan nan nan Mean
26 DT 1 to 1 0.11049723756906071 0.027010435850214787 0.11909146715776553 0.04910988336402711 0.0865561694290976 0.10926949048496004 0.1675874769797422 nan 0.09558888011926685
27 DT Group to Mean 0.17602427921092567 0.05614567526555381 0.12291350531107736 0.07435508345978759 0.050075872534142696 0.12139605462822456 0.16540212443095592 nan 0.10947322783438108
28 DT Mean to Mean 0.08952959028831564 0.03186646433990892 0.08649468892261003 0.10015174506828517 0.09559939301972686 0.12443095599393028 0.19423368740515934 nan 0.10318664643399089
29 NN -0.01062215477996964 -0.019726858877086473 0.039453717754172946 -0.004552352048558417 0.0 -0.018209408194233667 0.012139605462822445 nan -0.00021677866897897222
30 Bagging 1 to 1 0.11588641596314497 0.10084420567918706 0.08150422102838406 -0.001534919416730951 -0.0006139677666923693 0.03207981580967392 0.14397544128931128 nan 0.06744874465518257
31 Bagging Group to Mean 0.15781487101670355 0.12405159332321813 0.11191198786040057 0.08156297420333247 0.036039453717751524 0.03755690440060422 0.15364188163884523 nan 0.1003685237372651
32 Bagging Mean to Mean 0.14301972685888753 0.10584218512898613 0.12974203338392454 0.07966616084976658 0.029590288315627544 0.034901365705611975 0.14377845220030155 nan 0.09522003034901513
33 nan nan nan nan nan nan nan nan nan nan
34 nan nan Weak Segments vs Random nan nan nan nan nan nan Mean
35 DT 1 to 1 0.11049723756906071 0.03437691835481882 0.12584407612031923 0.0356046654389196 0.0779619398403929 0.07366482504604055 0.147329650092081 nan 0.08646847320880469
36 DT Group to Mean 0.1547799696509864 0.018209408194233667 0.10773899848254931 0.08345978755690442 0.06828528072837636 0.11836115326251895 0.18057663125948398 nan 0.10448731844786473
37 DT Mean to Mean 0.08042488619119881 0.039453717754172946 0.11987860394537175 0.09863429438543236 0.11380880121396053 0.05462822458270111 0.157814871016692 nan 0.09494905701278993
38 NN 0.07435508345978747 -0.012139605462822445 0.07435508345978747 0.016691957511380973 0.0015174506828528056 -0.028831562974203306 -0.025796661608497695 nan 0.014307392152612184
39 Bagging 1 to 1 0.10161166538755229 0.07904834996161536 0.0742900997697512 -0.015656178050655722 -0.01258633921719382 0.02501918649271284 0.12448196469683515 nan 0.05374410700580247
40 Bagging Group to Mean 0.16578148710168117 0.10698027314112529 0.12784522003035392 0.09180576631258813 0.039453717754170115 0.04248861911987553 0.16843702579665903 nan 0.10611315846520762
41 Bagging Mean to Mean 0.14264036418817438 0.09408194233687772 0.14491654021245332 0.07625189681334799 0.02617602427920901 0.03907435508345691 0.1456752655538674 nan 0.09554519835248383
42 nan nan nan nan nan nan nan nan nan nan
43 nan nan How superior is the radiologists to the weak segmentation? nan nan nan nan nan nan Mean
44 DT 1 to 1 0.0 0.007366482504604033 0.006752608962553697 -0.013505217925107504 -0.008594229588704705 -0.03560466543891949 -0.0202578268876612 nan -0.009120406910462167
45 DT Group to Mean -0.02124430955993928 -0.03793626707132014 -0.015174506828528056 0.009104704097116834 0.018209408194233667 -0.003034901365705611 0.015174506828528056 nan -0.004985909386516362
46 DT Mean to Mean -0.009104704097116834 0.007587253414264028 0.03338391502276172 -0.0015174506828528056 0.018209408194233667 -0.06980273141122917 -0.036418816388467334 nan -0.008237589421200961
47 NN 0.08497723823975711 0.007587253414264028 0.03490136570561453 0.02124430955993939 0.0015174506828528056 -0.01062215477996964 -0.03793626707132014 nan 0.014524170821591156
48 Bagging 1 to 1 -0.014274750575592687 -0.0217958557175717 -0.007214121258632855 -0.014121258633924771 -0.011972371450501451 -0.007060629316961081 -0.019493476592476133 nan -0.013704637649380097
49 Bagging Group to Mean 0.007966616084977618 -0.017071320182092842 0.01593323216995335 0.01024279210925566 0.0034142640364185906 0.004931714719271313 0.0147951441578138 nan 0.005744634727942498
50 Bagging Mean to Mean -0.0003793626707131459 -0.01176024279210841 0.015174506828528778 -0.0034142640364185906 -0.003414264036418535 0.004172989377844938 0.0018968133535658405 nan 0.0003251680034686962
51 nan nan nan nan nan nan nan nan nan nan
52 nan nan nan nan nan nan nan nan nan nan
53 % with a single rating 0.36991557943208 0.338910207214121 0.417805065234075 0.60552570990023 0.679508825786646 0.735226400613968 0.37743668457406 nan nan
54 Broken Clock Error 0.63008442056792 0.661089792785879 0.582194934765925 0.39447429009977 0.32049117421335405 0.26477359938603195 0.62256331542594 nan nan
55 nan nan nan nan nan nan nan nan nan nan
56 nan nan nan nan nan nan nan nan nan nan
57 nan nan Is random better than the broken clock? nan nan nan nan nan nan Mean
58 DT 1 to 1 -0.09796960030378032 -0.04118153931970725 -0.14770070673192648 -0.15617027711938292 -0.19270710694072823 -0.17721535089021112 -0.12881790004367322 nan -0.13453749733562995
59 DT Group to Mean -0.10739661129854439 0.026795407353405576 -0.10217532320069111 -0.19733147621282487 -0.22427362093080383 -0.21625826707830798 -0.08305125210061537 nan -0.12909873478119743
60 DT Mean to Mean -0.06339054149581291 0.014655801890583131 -0.10976257661495514 -0.24588989806411465 -0.25765753595356555 -0.20411866161548553 -0.11947006848908281 nan -0.14080478290606194
61 NN -0.004209964864553384 0.12998205378739636 -0.04754709861799 -0.0698656188531891 -0.07708090469408146 -0.012919875576031803 0.08386832301319336 nan 0.00031813059924913823
62 Bagging 1 to 1 -0.042517267843486306 -0.02118188795092879 -0.02532617037611251 -0.0062931696086471756 -0.002609363008476917 -0.0009209516500613968 -0.03192632386804761 nan -0.0186821620436801
63 Bagging Group to Mean -0.03493834119229833 0.09128706137468123 -0.015301271607338518 -0.08428140034025583 -0.07063173929192851 -0.023921393026693605 0.055795485380448095 nan -0.011713085529055065
64 Bagging Mean to Mean -0.02431618641232791 0.08863152267968866 -0.060066066751499614 -0.08162586164526359 -0.06418257388980453 -0.028094382404538487 0.06376210146542594 nan -0.01512734956547422
65 nan nan nan nan nan nan nan nan nan nan
66 nan nan Is relative Truth better than Broken Clock? nan nan nan nan nan nan Mean
67 DT 1 to 1 0.012527637265280389 -0.014171103469492463 -0.02860923957416095 -0.10706039375535581 -0.10615093751163063 -0.06794586040525108 0.03876957693606897 nan -0.03894861721636308
68 DT Group to Mean 0.06862766791238128 0.08294108261895938 0.02073818211038625 -0.12297639275303729 -0.17419774839666113 -0.09486221245008342 0.08235087233034055 nan -0.019625506946816338
69 DT Mean to Mean 0.026139048792502728 0.04652226623049205 -0.023267887692345113 -0.14573815299582948 -0.1620581429338387 -0.07968770562155525 0.07476361891607652 nan -0.03761813647207103
70 NN -0.014832119644523023 0.11025519491030988 -0.008093380863817057 -0.07441797090174751 -0.07708090469408146 -0.03112928377026547 0.0960079284760158 nan 0.00010135193027016598
71 Bagging 1 to 1 0.07336914811965867 0.07966231772825827 0.05617805065227155 -0.007828089025378127 -0.0032233307751692863 0.031158864159612526 0.11204911742126367 nan 0.04876658261150246
72 Bagging Group to Mean 0.12287652982440522 0.21533865469789937 0.09661071625306206 -0.0027184261369233576 -0.034592285574176984 0.013635511373910614 0.20943736701929333 nan 0.08865543820821002
73 Bagging Mean to Mean 0.11870354044655962 0.1944737078086748 0.06967596663242492 -0.0019597007954970103 -0.034592285574176984 0.006806983301073488 0.2075405536657275 nan 0.0800926807835409