(kooste lopussa) a) === Run information === Scheme: weka.classifiers.trees.J48 -C 0.25 -M 2 Relation: naaraatvalikoitu-weka.filters.unsupervised.attribute.NumericToNominal-R14-weka.filters.unsupervised.attribute.MergeManyValues-C14-Lmerged-R2,3,4 Instances: 266 Attributes: 19 1=vaika 2=paino 3=lisamunratio 4=maksaratio 5=pernaratio 6=sydanratio 7=thymusratio 8=umpisratio 9=neitsyt 10=rasitus 11=gonratio 12=uusrasvaratio 13=batratio 14=vhaava 15=hanta 16=hantaratio 17=vart 18=painoind 19=paikka Test mode: 10-fold cross-validation === Classifier model (full training set) === J48 pruned tree ------------------ 19=paikka <= 2 | 17=vart <= 22.2 | | 9=neitsyt <= 1 | | | 8=umpisratio <= 0.0103: 1 (9.0) | | | 8=umpisratio > 0.0103 | | | | 3=lisamunratio <= 0.39: 1 (4.0) | | | | 3=lisamunratio > 0.39: merged (4.0) | | 9=neitsyt > 1 | | | 1=vaika <= 1: merged (3.0) | | | 1=vaika > 1 | | | | 1=vaika <= 2: 1 (8.0) | | | | 1=vaika > 2 | | | | | 12=uusrasvaratio <= 0.0038: merged (3.0) | | | | | 12=uusrasvaratio > 0.0038 | | | | | | 13=batratio <= 1.851 | | | | | | | 6=sydanratio <= 0.0053: merged (3.0) | | | | | | | 6=sydanratio > 0.0053: 1 (2.0) | | | | | | 13=batratio > 1.851: 1 (15.0) | 17=vart > 22.2 | | 16=hantaratio <= 0.75 | | | 1=vaika <= 1 | | | | 5=pernaratio <= 0.0036: 1 (2.0) | | | | 5=pernaratio > 0.0036: merged (2.0) | | | 1=vaika > 1: merged (10.0) | | 16=hantaratio > 0.75: 1 (5.0/1.0) 19=paikka > 2 | 1=vaika <= 1: 1 (72.0/4.0) | 1=vaika > 1 | | 16=hantaratio <= 0.77: 1 (52.0/3.0) | | 16=hantaratio > 0.77 | | | 16=hantaratio <= 0.86 | | | | 4=maksaratio <= 0.071 | | | | | 4=maksaratio <= 0.069 | | | | | | 15=hanta <= 14.6 | | | | | | | 11=gonratio <= 0.0014 | | | | | | | | 8=umpisratio <= 0.0133: merged (3.0) | | | | | | | | 8=umpisratio > 0.0133: 1 (2.0) | | | | | | | 11=gonratio > 0.0014: merged (2.0) | | | | | | 15=hanta > 14.6 | | | | | | | 9=neitsyt <= 1 | | | | | | | | 16=hantaratio <= 0.85 | | | | | | | | | 10=rasitus <= 2 | | | | | | | | | | 15=hanta <= 17.9: 1 (11.0) | | | | | | | | | | 15=hanta > 17.9 | | | | | | | | | | | 12=uusrasvaratio <= 0.003: 1 (2.0) | | | | | | | | | | | 12=uusrasvaratio > 0.003: merged (3.0) | | | | | | | | | 10=rasitus > 2 | | | | | | | | | | 6=sydanratio <= 0.0034: merged (2.0) | | | | | | | | | | 6=sydanratio > 0.0034: 1 (10.0) | | | | | | | | 16=hantaratio > 0.85: merged (2.0) | | | | | | | 9=neitsyt > 1: 1 (7.0) | | | | | 4=maksaratio > 0.069: merged (4.0) | | | | 4=maksaratio > 0.071: 1 (11.0) | | | 16=hantaratio > 0.86: 1 (13.0) Number of Leaves : 28 Size of the tree : 55 Time taken to build model: 0.02 seconds === Stratified cross-validation === === Summary === Correctly Classified Instances 208 78.1955 % Incorrectly Classified Instances 58 21.8045 % Kappa statistic 0.1843 Mean absolute error 0.2635 Root mean squared error 0.4376 Relative absolute error 87.1861 % Root relative squared error 112.8607 % Coverage of cases (0.95 level) 92.4812 % Mean rel. region size (0.95 level) 87.0301 % Total Number of Instances 266 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,899 0,735 0,844 0,899 0,871 0,188 0,600 0,837 1 0,265 0,101 0,371 0,265 0,310 0,188 0,600 0,292 merged Weighted Avg. 0,782 0,618 0,757 0,782 0,767 0,188 0,600 0,737 === Confusion Matrix === a b <-- classified as 195 22 | a = 1 36 13 | b = merged b) (Oletusasetukset) === Run information === Scheme: weka.classifiers.functions.MultilayerPerceptron -L 0.3 -M 0.2 -N 500 -V 0 -S 0 -E 20 -H a Relation: naaraatvalikoitu-weka.filters.unsupervised.attribute.NumericToNominal-R14-weka.filters.unsupervised.attribute.MergeManyValues-C14-Lmerged-R2,3,4 Instances: 266 Attributes: 19 1=vaika 2=paino 3=lisamunratio 4=maksaratio 5=pernaratio 6=sydanratio 7=thymusratio 8=umpisratio 9=neitsyt 10=rasitus 11=gonratio 12=uusrasvaratio 13=batratio 14=vhaava 15=hanta 16=hantaratio 17=vart 18=painoind 19=paikka Test mode: 10-fold cross-validation === Classifier model (full training set) === Sigmoid Node 0 Inputs Weights Threshold -12.530756945299608 Node 2 7.243758935214528 Node 3 3.305072010393167 Node 4 5.812548323106347 Node 5 6.699928772764056 Node 6 5.2447686616253035 Node 7 4.427467084816559 Node 8 3.141376540899289 Node 9 2.4169929888175465 Node 10 5.597523735193151 Node 11 8.281954227193252 Sigmoid Node 1 Inputs Weights Threshold 12.530770116927027 Node 2 -7.245111328791936 Node 3 -3.306168766372027 Node 4 -5.820289994172225 Node 5 -6.699023540063999 Node 6 -5.240463756258622 Node 7 -4.429026095461743 Node 8 -3.141142971827015 Node 9 -2.4046246049576228 Node 10 -5.599096913586362 Node 11 -8.28224413885901 Sigmoid Node 2 Inputs Weights Threshold -4.538612572541792 Attrib 1=vaika -0.24943096176231871 Attrib 2=paino 3.5527741955102488 Attrib 3=lisamunratio 2.2811442210221093 Attrib 4=maksaratio 6.54405283748696 Attrib 5=pernaratio 1.7710541484211653 Attrib 6=sydanratio 0.02193917675933566 Attrib 7=thymusratio -4.8858024676905645 Attrib 8=umpisratio 0.011700379273469255 Attrib 9=neitsyt 0.5751299474097907 Attrib 10=rasitus -4.6530607416639755 Attrib 11=gonratio -1.99437902858961 Attrib 12=uusrasvaratio -3.578675767772618 Attrib 13=batratio 3.2287178043070592 Attrib 15=hanta 1.987208669363748 Attrib 16=hantaratio 3.2196308950112185 Attrib 17=vart 0.4307445328855189 Attrib 18=painoind 2.2884290261444313 Attrib 19=paikka -1.9563803686282306 Sigmoid Node 3 Inputs Weights Threshold -1.5986508737226859 Attrib 1=vaika -0.8082207321498559 Attrib 2=paino -1.5919894261749943 Attrib 3=lisamunratio -2.466762778807874 Attrib 4=maksaratio 1.6654803291942377 Attrib 5=pernaratio 1.2372703613876164 Attrib 6=sydanratio 0.5789559751345619 Attrib 7=thymusratio -0.8282367354976018 Attrib 8=umpisratio -2.73196696867808 Attrib 9=neitsyt 2.56871746961502 Attrib 10=rasitus -2.035448066029936 Attrib 11=gonratio 1.4988533882425832 Attrib 12=uusrasvaratio 0.4484742749635374 Attrib 13=batratio 3.7580548129837665 Attrib 15=hanta 0.8659693529387605 Attrib 16=hantaratio 1.3301590321888952 Attrib 17=vart -0.3415450709368198 Attrib 18=painoind -2.3024219200471987 Attrib 19=paikka 1.8084056885151187 Sigmoid Node 4 Inputs Weights Threshold -0.6223643198536722 Attrib 1=vaika 2.2721600032374822 Attrib 2=paino -2.7732888397574675 Attrib 3=lisamunratio -2.8138081285427807 Attrib 4=maksaratio 2.8672151908170265 Attrib 5=pernaratio 1.3068679884796015 Attrib 6=sydanratio 1.5630058349523839 Attrib 7=thymusratio 1.397816554863982 Attrib 8=umpisratio 0.6976915939346562 Attrib 9=neitsyt 0.4066503770930515 Attrib 10=rasitus 1.4983750574162826 Attrib 11=gonratio 0.6877519906508451 Attrib 12=uusrasvaratio -1.2338237901983842 Attrib 13=batratio 1.894524737303564 Attrib 15=hanta -1.8093176592499682 Attrib 16=hantaratio -3.006968081036647 Attrib 17=vart 0.05093038757554814 Attrib 18=painoind -3.406751408842759 Attrib 19=paikka -5.157402539676238 Sigmoid Node 5 Inputs Weights Threshold 0.1536581637576667 Attrib 1=vaika -5.296560841835286 Attrib 2=paino -0.3051150434803122 Attrib 3=lisamunratio 10.319558214000603 Attrib 4=maksaratio 1.4556304275875307 Attrib 5=pernaratio -0.39262309421580877 Attrib 6=sydanratio -0.22111408253515624 Attrib 7=thymusratio -3.6897213670133437 Attrib 8=umpisratio -1.2323567779663152 Attrib 9=neitsyt -2.1576081855593503 Attrib 10=rasitus -2.687222457534308 Attrib 11=gonratio 1.3139846675436055 Attrib 12=uusrasvaratio -0.9466228085985755 Attrib 13=batratio -2.8437348959202855 Attrib 15=hanta -1.9248850642141606 Attrib 16=hantaratio 4.87712896394141 Attrib 17=vart -5.96193799109572 Attrib 18=painoind 2.7669377937112762 Attrib 19=paikka 9.741219646775814 Sigmoid Node 6 Inputs Weights Threshold -1.338483198336307 Attrib 1=vaika 2.7305733326077317 Attrib 2=paino -1.1461152509302754 Attrib 3=lisamunratio -5.824788385137792 Attrib 4=maksaratio 3.5646445723511366 Attrib 5=pernaratio -1.2099624515232077 Attrib 6=sydanratio 1.8446325799768701 Attrib 7=thymusratio 3.315595909315925 Attrib 8=umpisratio -0.9766320485836713 Attrib 9=neitsyt -0.49968998220909255 Attrib 10=rasitus 1.8722488845530147 Attrib 11=gonratio 2.0181967088391373 Attrib 12=uusrasvaratio -2.251583810763427 Attrib 13=batratio -3.608825276758764 Attrib 15=hanta 0.2986387231416876 Attrib 16=hantaratio -0.3388782074586495 Attrib 17=vart 0.8290758005069597 Attrib 18=painoind -1.917647810256268 Attrib 19=paikka -1.9176537370481224 Sigmoid Node 7 Inputs Weights Threshold -2.234659506411402 Attrib 1=vaika 0.934341223555245 Attrib 2=paino -5.900884048053304 Attrib 3=lisamunratio -0.1277796409664385 Attrib 4=maksaratio 1.55338532862773 Attrib 5=pernaratio -0.620536515051242 Attrib 6=sydanratio -4.364210870266963 Attrib 7=thymusratio 2.65140576707071 Attrib 8=umpisratio -4.293299126830375 Attrib 9=neitsyt -3.093434671553152 Attrib 10=rasitus 1.0811067866663486 Attrib 11=gonratio -0.9603876365610999 Attrib 12=uusrasvaratio -4.183915118279366 Attrib 13=batratio 4.667569344683241 Attrib 15=hanta -1.556147029675834 Attrib 16=hantaratio -0.7828892593089136 Attrib 17=vart -1.436971326686381 Attrib 18=painoind -6.584419078883931 Attrib 19=paikka 3.7428287864329866 Sigmoid Node 8 Inputs Weights Threshold -3.414870536926311 Attrib 1=vaika -4.355260740577832 Attrib 2=paino -3.7924626172690523 Attrib 3=lisamunratio 0.35532998256813025 Attrib 4=maksaratio 3.6635720547215413 Attrib 5=pernaratio -1.7846087817655991 Attrib 6=sydanratio -2.0750680238710113 Attrib 7=thymusratio -3.3855227872950944 Attrib 8=umpisratio -4.363586805238137 Attrib 9=neitsyt -1.7021413013534012 Attrib 10=rasitus -2.901805301960081 Attrib 11=gonratio 0.908391606992762 Attrib 12=uusrasvaratio -2.8774203267983327 Attrib 13=batratio 5.9551879028352195 Attrib 15=hanta -1.8312470431348775 Attrib 16=hantaratio -1.0224650162268678 Attrib 17=vart -1.0117498819698791 Attrib 18=painoind -5.057757029220194 Attrib 19=paikka 6.481074714488631 Sigmoid Node 9 Inputs Weights Threshold -1.9490863595057308 Attrib 1=vaika 0.6813140519360061 Attrib 2=paino -1.7279416990587455 Attrib 3=lisamunratio -1.7075127991857542 Attrib 4=maksaratio 1.8115602821862644 Attrib 5=pernaratio 1.622436926642058 Attrib 6=sydanratio 0.8407553189677558 Attrib 7=thymusratio -0.20412797240258404 Attrib 8=umpisratio -2.422104402621065 Attrib 9=neitsyt 1.2596477905189185 Attrib 10=rasitus -0.12385666218966515 Attrib 11=gonratio 0.05272807153181014 Attrib 12=uusrasvaratio -0.7254422324726418 Attrib 13=batratio 4.219252743899315 Attrib 15=hanta -0.47611690005217466 Attrib 16=hantaratio -0.2480485745459053 Attrib 17=vart -0.6495874854732081 Attrib 18=painoind -2.3746996928135724 Attrib 19=paikka -1.621234552879045 Sigmoid Node 10 Inputs Weights Threshold -3.34328292585816 Attrib 1=vaika 2.339152149623734 Attrib 2=paino 1.45310745364211 Attrib 3=lisamunratio -6.494207572448908 Attrib 4=maksaratio 4.033088270950274 Attrib 5=pernaratio -1.374881526670883 Attrib 6=sydanratio 2.321728895326222 Attrib 7=thymusratio 2.0906869320479657 Attrib 8=umpisratio -2.4412490414282626 Attrib 9=neitsyt -0.35275294286383774 Attrib 10=rasitus 0.12412113705182157 Attrib 11=gonratio 5.5872513056008 Attrib 12=uusrasvaratio -1.5685160599400634 Attrib 13=batratio -3.028687747810001 Attrib 15=hanta 1.3329679539709227 Attrib 16=hantaratio -1.679983624577545 Attrib 17=vart 2.8430057557719626 Attrib 18=painoind -0.5634809168878172 Attrib 19=paikka -1.4019409558071714 Sigmoid Node 11 Inputs Weights Threshold -2.3552617778833094 Attrib 1=vaika -6.043784650667108 Attrib 2=paino -1.7464855153877037 Attrib 3=lisamunratio -2.9710277695522374 Attrib 4=maksaratio 3.9340405882434295 Attrib 5=pernaratio 2.9151288580517325 Attrib 6=sydanratio -1.8978295397100124 Attrib 7=thymusratio 7.975405902826012 Attrib 8=umpisratio -1.8208466650389679 Attrib 9=neitsyt -2.4450949722403834 Attrib 10=rasitus 5.155822384627902 Attrib 11=gonratio 0.8039308867243129 Attrib 12=uusrasvaratio -2.0912798592496697 Attrib 13=batratio -1.685761046426554 Attrib 15=hanta 5.179117854304198 Attrib 16=hantaratio 1.4328743165636106 Attrib 17=vart 4.944458181306734 Attrib 18=painoind -6.035936214333668 Attrib 19=paikka -1.7651934635949 Class 1 Input Node 0 Class merged Input Node 1 Time taken to build model: 1.02 seconds === Stratified cross-validation === === Summary === Correctly Classified Instances 195 73.3083 % Incorrectly Classified Instances 71 26.6917 % Kappa statistic 0.1048 Mean absolute error 0.2797 Root mean squared error 0.4659 Relative absolute error 92.5436 % Root relative squared error 120.162 % Coverage of cases (0.95 level) 89.0977 % Mean rel. region size (0.95 level) 70.4887 % Total Number of Instances 266 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,839 0,735 0,835 0,839 0,837 0,105 0,601 0,845 1 0,265 0,161 0,271 0,265 0,268 0,105 0,601 0,298 merged Weighted Avg. 0,733 0,629 0,731 0,733 0,732 0,105 0,601 0,744 === Confusion Matrix === a b <-- classified as 182 35 | a = 1 36 13 | b = merged (ei yhtään piilotasoa) === Run information === Scheme: weka.classifiers.functions.MultilayerPerceptron -L 0.3 -M 0.2 -N 500 -V 0 -S 0 -E 20 -H 0 Relation: naaraatvalikoitu-weka.filters.unsupervised.attribute.NumericToNominal-R14-weka.filters.unsupervised.attribute.MergeManyValues-C14-Lmerged-R2,3,4 Instances: 266 Attributes: 19 1=vaika 2=paino 3=lisamunratio 4=maksaratio 5=pernaratio 6=sydanratio 7=thymusratio 8=umpisratio 9=neitsyt 10=rasitus 11=gonratio 12=uusrasvaratio 13=batratio 14=vhaava 15=hanta 16=hantaratio 17=vart 18=painoind 19=paikka Test mode: 10-fold cross-validation === Classifier model (full training set) === Sigmoid Node 0 Inputs Weights Threshold 6.50492976225754 Attrib 1=vaika -2.6579740705879944 Attrib 2=paino -1.8725900563458173 Attrib 3=lisamunratio -0.29899301744567985 Attrib 4=maksaratio 8.39936434085853 Attrib 5=pernaratio -0.8061204573929627 Attrib 6=sydanratio -2.5033513019948974 Attrib 7=thymusratio 0.8284236484392414 Attrib 8=umpisratio -3.0241626663723586 Attrib 9=neitsyt -0.06956317509637655 Attrib 10=rasitus 0.47897364309578755 Attrib 11=gonratio 0.7340096470322676 Attrib 12=uusrasvaratio -1.098174189216104 Attrib 13=batratio 2.9273422093356487 Attrib 15=hanta 2.151108937412223 Attrib 16=hantaratio 2.7886814013600967 Attrib 17=vart -2.590399506603253 Attrib 18=painoind -3.421835245500426 Attrib 19=paikka 2.1291975411151283 Sigmoid Node 1 Inputs Weights Threshold -6.498735697058531 Attrib 1=vaika 2.6562409578397856 Attrib 2=paino 1.8175906135209845 Attrib 3=lisamunratio 0.3000579922478749 Attrib 4=maksaratio -8.394087676203293 Attrib 5=pernaratio 0.8139630143315704 Attrib 6=sydanratio 2.508426186751711 Attrib 7=thymusratio -0.8271375753000649 Attrib 8=umpisratio 3.029868667551775 Attrib 9=neitsyt 0.07084916666244562 Attrib 10=rasitus -0.4775333762404875 Attrib 11=gonratio -0.7417932902172022 Attrib 12=uusrasvaratio 1.109721745009052 Attrib 13=batratio -2.927201528417372 Attrib 15=hanta -2.1312125728613416 Attrib 16=hantaratio -2.800682404369331 Attrib 17=vart 2.595886517863037 Attrib 18=painoind 3.4749670357642293 Attrib 19=paikka -2.1304702355571377 Class 1 Input Node 0 Class merged Input Node 1 Time taken to build model: 0.25 seconds === Stratified cross-validation === === Summary === Correctly Classified Instances 210 78.9474 % Incorrectly Classified Instances 56 21.0526 % Kappa statistic 0.1357 Mean absolute error 0.2323 Root mean squared error 0.4199 Relative absolute error 76.855 % Root relative squared error 108.3091 % Coverage of cases (0.95 level) 89.4737 % Mean rel. region size (0.95 level) 67.6692 % Total Number of Instances 266 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,926 0,816 0,834 0,926 0,878 0,146 0,636 0,864 1 0,184 0,074 0,360 0,184 0,243 0,146 0,636 0,278 merged Weighted Avg. 0,789 0,680 0,747 0,789 0,761 0,146 0,636 0,756 === Confusion Matrix === a b <-- classified as 201 16 | a = 1 40 9 | b = merged (yksi piilotaso 15 solmulla) === Run information === Scheme: weka.classifiers.functions.MultilayerPerceptron -L 0.3 -M 0.2 -N 500 -V 0 -S 0 -E 20 -H 15 Relation: naaraatvalikoitu-weka.filters.unsupervised.attribute.NumericToNominal-R14-weka.filters.unsupervised.attribute.MergeManyValues-C14-Lmerged-R2,3,4 Instances: 266 Attributes: 19 1=vaika 2=paino 3=lisamunratio 4=maksaratio 5=pernaratio 6=sydanratio 7=thymusratio 8=umpisratio 9=neitsyt 10=rasitus 11=gonratio 12=uusrasvaratio 13=batratio 14=vhaava 15=hanta 16=hantaratio 17=vart 18=painoind 19=paikka Test mode: 10-fold cross-validation === Classifier model (full training set) === Sigmoid Node 0 Inputs Weights Threshold -12.150826489261146 Node 2 6.75851917600334 Node 3 1.9257770626482653 Node 4 -0.18365613125819 Node 5 4.7533472297637775 Node 6 3.579114699650147 Node 7 1.9579180999999106 Node 8 6.784353764621402 Node 9 4.365465126219291 Node 10 5.6673894033754735 Node 11 4.824188086285026 Node 12 7.397532768239127 Node 13 5.72227323717097 Node 14 2.739066141668323 Node 15 -7.142317080223512 Node 16 1.8083046211290508 Sigmoid Node 1 Inputs Weights Threshold 12.150029721556365 Node 2 -6.75808314213161 Node 3 -1.9098543373931784 Node 4 0.20110253575552978 Node 5 -4.753454928536179 Node 6 -3.5793800065337393 Node 7 -1.9051972484699091 Node 8 -6.783373415585466 Node 9 -4.36480494658369 Node 10 -5.667633057695412 Node 11 -4.834555209812866 Node 12 -7.38760021854808 Node 13 -5.721681548267244 Node 14 -2.8007224523741816 Node 15 7.14100355696366 Node 16 -1.8195390876781983 Sigmoid Node 2 Inputs Weights Threshold -2.374532287475077 Attrib 1=vaika -4.6224892122958865 Attrib 2=paino 0.015526125398982803 Attrib 3=lisamunratio -3.791493310314097 Attrib 4=maksaratio 5.34604231597321 Attrib 5=pernaratio 0.4225783216401331 Attrib 6=sydanratio 0.7658021550624206 Attrib 7=thymusratio 3.9582928717615777 Attrib 8=umpisratio 0.006666135679854042 Attrib 9=neitsyt -2.126938685831083 Attrib 10=rasitus 2.0602246181620014 Attrib 11=gonratio 0.22654766564236611 Attrib 12=uusrasvaratio -3.436358873067977 Attrib 13=batratio 1.1342894143668143 Attrib 15=hanta 5.5148208502421205 Attrib 16=hantaratio 0.20663177404807842 Attrib 17=vart 5.894536918273476 Attrib 18=painoind -3.739837953050558 Attrib 19=paikka -2.616520576373006 Sigmoid Node 3 Inputs Weights Threshold -1.1608901205121918 Attrib 1=vaika 0.7758366144954568 Attrib 2=paino -1.5606695747255828 Attrib 3=lisamunratio -1.0073696081649322 Attrib 4=maksaratio 1.56151900410601 Attrib 5=pernaratio 1.011531865759779 Attrib 6=sydanratio 0.4010133205544564 Attrib 7=thymusratio 0.2246185490544582 Attrib 8=umpisratio -1.6295472787084053 Attrib 9=neitsyt 1.4520630741685272 Attrib 10=rasitus -0.5191000557598546 Attrib 11=gonratio 0.15244985504839456 Attrib 12=uusrasvaratio -0.36279643404985 Attrib 13=batratio 2.8886150310619514 Attrib 15=hanta -0.8483555895697016 Attrib 16=hantaratio -0.2871900992973608 Attrib 17=vart -0.8995230094517199 Attrib 18=painoind -1.7210613556113648 Attrib 19=paikka -0.2904712553547316 Sigmoid Node 4 Inputs Weights Threshold -0.5878848173303988 Attrib 1=vaika 0.5234938491456146 Attrib 2=paino -0.461809317003861 Attrib 3=lisamunratio -0.502967122553801 Attrib 4=maksaratio 0.7645318750593676 Attrib 5=pernaratio 0.3587011839566524 Attrib 6=sydanratio 0.33798525221510317 Attrib 7=thymusratio 0.3420687696035543 Attrib 8=umpisratio 0.06873482018061991 Attrib 9=neitsyt 0.13298248967492396 Attrib 10=rasitus 0.12831106679800855 Attrib 11=gonratio 0.3064517978934486 Attrib 12=uusrasvaratio 0.14636927542083691 Attrib 13=batratio 0.6269087823446211 Attrib 15=hanta -0.48768158745959855 Attrib 16=hantaratio -0.1316073551940038 Attrib 17=vart -0.4430565253601497 Attrib 18=painoind -0.5359119701594556 Attrib 19=paikka -0.06996204952805468 Sigmoid Node 5 Inputs Weights Threshold -2.291532556878366 Attrib 1=vaika -1.55717347764551 Attrib 2=paino 0.5145348709705693 Attrib 3=lisamunratio -3.3438135628001917 Attrib 4=maksaratio 0.9623800193293196 Attrib 5=pernaratio 0.19725311030939652 Attrib 6=sydanratio 1.9458384478877004 Attrib 7=thymusratio 5.044274205231761 Attrib 8=umpisratio -2.7019372750670216 Attrib 9=neitsyt -0.45738267473391075 Attrib 10=rasitus 2.2440415379520045 Attrib 11=gonratio 5.401108725216912 Attrib 12=uusrasvaratio 0.5174447603387775 Attrib 13=batratio -1.4918028123589677 Attrib 15=hanta 1.0509454230000295 Attrib 16=hantaratio -3.0018157905587364 Attrib 17=vart 3.368004721376912 Attrib 18=painoind -1.701669992593498 Attrib 19=paikka 1.264508639765527 Sigmoid Node 6 Inputs Weights Threshold 0.0291735233103765 Attrib 1=vaika -0.5537570804849744 Attrib 2=paino -4.116934632608603 Attrib 3=lisamunratio 9.482083253481479 Attrib 4=maksaratio 1.5759591137555726 Attrib 5=pernaratio 1.392951057279865 Attrib 6=sydanratio -3.266194769051486 Attrib 7=thymusratio 0.1039179955096355 Attrib 8=umpisratio -3.8920084490716813 Attrib 9=neitsyt -1.3660201710454858 Attrib 10=rasitus -0.44222964289647 Attrib 11=gonratio -1.6744186238238352 Attrib 12=uusrasvaratio -3.9068536664262687 Attrib 13=batratio 2.4827918156000295 Attrib 15=hanta -1.2930540532467896 Attrib 16=hantaratio -0.1943307919436524 Attrib 17=vart -2.2185564689825035 Attrib 18=painoind -3.8152530779171485 Attrib 19=paikka 2.816856155287186 Sigmoid Node 7 Inputs Weights Threshold -1.199751754014959 Attrib 1=vaika 0.9045786648574535 Attrib 2=paino -1.4285533999014408 Attrib 3=lisamunratio -1.0337498462396821 Attrib 4=maksaratio 1.563114865290115 Attrib 5=pernaratio 0.974137002253039 Attrib 6=sydanratio 0.4334520028860701 Attrib 7=thymusratio -0.3199392905730887 Attrib 8=umpisratio -1.6177456916013826 Attrib 9=neitsyt 1.4416844393370898 Attrib 10=rasitus -0.930763288431636 Attrib 11=gonratio 0.5660784315651879 Attrib 12=uusrasvaratio 0.02916027761738496 Attrib 13=batratio 2.780692292643433 Attrib 15=hanta -0.69838918917638 Attrib 16=hantaratio -0.13830886333982703 Attrib 17=vart -0.9285245546016342 Attrib 18=painoind -1.5692830006735328 Attrib 19=paikka 0.3020959276308322 Sigmoid Node 8 Inputs Weights Threshold -1.8129053996883904 Attrib 1=vaika 4.939982045280985 Attrib 2=paino -1.0195408161640556 Attrib 3=lisamunratio -10.995787764992649 Attrib 4=maksaratio 2.9477968778251022 Attrib 5=pernaratio -1.4469380778091863 Attrib 6=sydanratio 1.8560581076630016 Attrib 7=thymusratio 3.513766297666471 Attrib 8=umpisratio -2.220225230367368 Attrib 9=neitsyt 0.21896380819817804 Attrib 10=rasitus 3.261033809488363 Attrib 11=gonratio 3.5599376957875304 Attrib 12=uusrasvaratio -0.481878587318133 Attrib 13=batratio -2.8702084903229244 Attrib 15=hanta 0.4761068128020534 Attrib 16=hantaratio 1.0624921623093977 Attrib 17=vart 0.17886904880429236 Attrib 18=painoind -1.4782826805110718 Attrib 19=paikka -1.6950591031054332 Sigmoid Node 9 Inputs Weights Threshold -2.628305262151359 Attrib 1=vaika -0.5778881689458922 Attrib 2=paino -0.27012396091014185 Attrib 3=lisamunratio -4.603230671044145 Attrib 4=maksaratio 2.85182666230585 Attrib 5=pernaratio -0.37899323052128636 Attrib 6=sydanratio 2.112611586472343 Attrib 7=thymusratio 3.5678874726203764 Attrib 8=umpisratio -1.4506351180319033 Attrib 9=neitsyt -0.4881705992061296 Attrib 10=rasitus 1.1399172693094488 Attrib 11=gonratio 2.3836007635067236 Attrib 12=uusrasvaratio -0.720927835397195 Attrib 13=batratio -3.2543535407412607 Attrib 15=hanta 2.412716837310814 Attrib 16=hantaratio -0.16131180125363986 Attrib 17=vart 3.152494899392918 Attrib 18=painoind -2.4832571010004614 Attrib 19=paikka -0.3218753555075694 Sigmoid Node 10 Inputs Weights Threshold -0.03259972810846797 Attrib 1=vaika -4.735196557816717 Attrib 2=paino 0.3864269822291451 Attrib 3=lisamunratio 8.721018110953624 Attrib 4=maksaratio 1.485493585194064 Attrib 5=pernaratio -0.22839077689517895 Attrib 6=sydanratio -0.6857753414809226 Attrib 7=thymusratio -3.0942939702619365 Attrib 8=umpisratio -0.38000337830738556 Attrib 9=neitsyt -1.594930587730389 Attrib 10=rasitus -1.590288353018566 Attrib 11=gonratio 0.7430315561078953 Attrib 12=uusrasvaratio -1.2777205566242293 Attrib 13=batratio -1.3807308493145547 Attrib 15=hanta -0.7011783888591144 Attrib 16=hantaratio 4.960484495581563 Attrib 17=vart -4.738819617677316 Attrib 18=painoind 2.6956588475316163 Attrib 19=paikka 7.570578133857234 Sigmoid Node 11 Inputs Weights Threshold -0.8334914722389049 Attrib 1=vaika 2.895734322159437 Attrib 2=paino -2.8958380588459987 Attrib 3=lisamunratio -4.19567703392861 Attrib 4=maksaratio 2.547338493675922 Attrib 5=pernaratio 0.6994674186336296 Attrib 6=sydanratio 1.3848550351038682 Attrib 7=thymusratio 1.9016349414724596 Attrib 8=umpisratio -1.6359615104161669 Attrib 9=neitsyt 0.5201853398548061 Attrib 10=rasitus 1.5563104630647322 Attrib 11=gonratio 0.4378966710782279 Attrib 12=uusrasvaratio -0.5695890961998578 Attrib 13=batratio 0.608567465429803 Attrib 15=hanta -0.8422471381079162 Attrib 16=hantaratio -1.5884867500385729 Attrib 17=vart 0.189893869055103 Attrib 18=painoind -3.390306828420494 Attrib 19=paikka -3.5103828734419107 Sigmoid Node 12 Inputs Weights Threshold -1.511369562896118 Attrib 1=vaika -1.128289700415229 Attrib 2=paino -1.2905143180991296 Attrib 3=lisamunratio 2.3524285019434092 Attrib 4=maksaratio 2.139897490269048 Attrib 5=pernaratio 2.4779163483938356 Attrib 6=sydanratio 0.23663509833573818 Attrib 7=thymusratio -4.203046644714887 Attrib 8=umpisratio -2.376795990632646 Attrib 9=neitsyt 1.7003464106821047 Attrib 10=rasitus -3.1359916964027024 Attrib 11=gonratio 3.1711231319186575 Attrib 12=uusrasvaratio 1.050406440853473 Attrib 13=batratio 8.471900311051828 Attrib 15=hanta 4.084519826398351 Attrib 16=hantaratio 2.6754788513416923 Attrib 17=vart 2.2643181335013742 Attrib 18=painoind -3.6876629441627484 Attrib 19=paikka 4.66462824328008 Sigmoid Node 13 Inputs Weights Threshold 0.14741616806986568 Attrib 1=vaika 4.0196860825084135 Attrib 2=paino -1.053455405701036 Attrib 3=lisamunratio 5.8943954444463165 Attrib 4=maksaratio 1.2548414042660374 Attrib 5=pernaratio 1.2843568377557633 Attrib 6=sydanratio -1.4804697935932398 Attrib 7=thymusratio 1.4208650025741416 Attrib 8=umpisratio -1.3452254729650115 Attrib 9=neitsyt 0.733864664675014 Attrib 10=rasitus -2.996542276613445 Attrib 11=gonratio -2.1215679879226004 Attrib 12=uusrasvaratio -4.894501279653638 Attrib 13=batratio 3.4226105592217895 Attrib 15=hanta -3.85775510898065 Attrib 16=hantaratio -4.719474933583193 Attrib 17=vart -1.708373852010716 Attrib 18=painoind 0.13550920910235362 Attrib 19=paikka 3.8831180239055674 Sigmoid Node 14 Inputs Weights Threshold -1.3573251495798018 Attrib 1=vaika 0.9123173585765818 Attrib 2=paino -1.392611226768517 Attrib 3=lisamunratio -0.6346768751794968 Attrib 4=maksaratio 1.8612180265229272 Attrib 5=pernaratio 1.2203247168590738 Attrib 6=sydanratio 0.243754675142138 Attrib 7=thymusratio -1.0137720974375768 Attrib 8=umpisratio -2.2010207133149247 Attrib 9=neitsyt 1.6654709982914668 Attrib 10=rasitus -1.7210904408486276 Attrib 11=gonratio 1.4326741361463733 Attrib 12=uusrasvaratio 0.5884247615135749 Attrib 13=batratio 3.603581795089347 Attrib 15=hanta -0.3395954567644837 Attrib 16=hantaratio 0.23411141014360598 Attrib 17=vart -0.7751325895179798 Attrib 18=painoind -1.765387024833459 Attrib 19=paikka 1.2964672317318475 Sigmoid Node 15 Inputs Weights Threshold 0.8022231386497233 Attrib 1=vaika 9.88905120730866 Attrib 2=paino 1.4602997759334924 Attrib 3=lisamunratio 3.266150397443267 Attrib 4=maksaratio 0.9796037292305747 Attrib 5=pernaratio 4.212755281237102 Attrib 6=sydanratio 0.6268642095170258 Attrib 7=thymusratio 2.262119170418745 Attrib 8=umpisratio 2.4281107410086094 Attrib 9=neitsyt 2.5593751003184435 Attrib 10=rasitus 3.1091937018152 Attrib 11=gonratio 0.5598902798267636 Attrib 12=uusrasvaratio 3.042834989395924 Attrib 13=batratio 1.7805385760080152 Attrib 15=hanta 0.2089254739778189 Attrib 16=hantaratio -2.7202477063131125 Attrib 17=vart 2.228067282319495 Attrib 18=painoind 0.8675488911990864 Attrib 19=paikka -0.18433116406354913 Sigmoid Node 16 Inputs Weights Threshold -1.2251529522527924 Attrib 1=vaika 0.3070812435580687 Attrib 2=paino -0.5910636523452161 Attrib 3=lisamunratio 0.10317760202007117 Attrib 4=maksaratio 1.7921329124759118 Attrib 5=pernaratio 0.864933095494703 Attrib 6=sydanratio -0.15691214386657898 Attrib 7=thymusratio -0.7441384938873249 Attrib 8=umpisratio -1.159825549477958 Attrib 9=neitsyt 1.569371097115574 Attrib 10=rasitus -1.4156186398533006 Attrib 11=gonratio 1.2609198492914593 Attrib 12=uusrasvaratio 0.26194736878282926 Attrib 13=batratio 3.2931290558142203 Attrib 15=hanta -0.05593519089719875 Attrib 16=hantaratio -0.03558849495458828 Attrib 17=vart -0.20605685544627386 Attrib 18=painoind -1.2064346498861374 Attrib 19=paikka 1.519739350430981 Class 1 Input Node 0 Class merged Input Node 1 Time taken to build model: 1.45 seconds === Stratified cross-validation === === Summary === Correctly Classified Instances 204 76.6917 % Incorrectly Classified Instances 62 23.3083 % Kappa statistic 0.1992 Mean absolute error 0.2554 Root mean squared error 0.4536 Relative absolute error 84.502 % Root relative squared error 116.9867 % Coverage of cases (0.95 level) 84.9624 % Mean rel. region size (0.95 level) 64.8496 % Total Number of Instances 266 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,866 0,673 0,851 0,866 0,858 0,199 0,577 0,838 1 0,327 0,134 0,356 0,327 0,340 0,199 0,577 0,267 merged Weighted Avg. 0,767 0,574 0,759 0,767 0,763 0,199 0,577 0,733 === Confusion Matrix === a b <-- classified as 188 29 | a = 1 33 16 | b = merged c) === Run information === Scheme: weka.classifiers.lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" Relation: naaraatvalikoitu-weka.filters.unsupervised.attribute.NumericToNominal-R14-weka.filters.unsupervised.attribute.MergeManyValues-C14-Lmerged-R2,3,4 Instances: 266 Attributes: 19 1=vaika 2=paino 3=lisamunratio 4=maksaratio 5=pernaratio 6=sydanratio 7=thymusratio 8=umpisratio 9=neitsyt 10=rasitus 11=gonratio 12=uusrasvaratio 13=batratio 14=vhaava 15=hanta 16=hantaratio 17=vart 18=painoind 19=paikka Test mode: 10-fold cross-validation === Classifier model (full training set) === IB1 instance-based classifier using 1 nearest neighbour(s) for classification Time taken to build model: 0.01 seconds === Stratified cross-validation === === Summary === Correctly Classified Instances 199 74.812 % Incorrectly Classified Instances 67 25.188 % Kappa statistic 0.1553 Mean absolute error 0.2539 Root mean squared error 0.4998 Relative absolute error 84.0212 % Root relative squared error 128.9179 % Coverage of cases (0.95 level) 74.812 % Mean rel. region size (0.95 level) 50 % Total Number of Instances 266 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,848 0,694 0,844 0,848 0,846 0,155 0,563 0,836 1 0,306 0,152 0,313 0,306 0,309 0,155 0,563 0,219 merged Weighted Avg. 0,748 0,594 0,746 0,748 0,747 0,155 0,563 0,722 === Confusion Matrix === a b <-- classified as 184 33 | a = 1 34 15 | b = merged d) === Run information === Scheme: weka.classifiers.bayes.BayesNet -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5 Relation: naaraatvalikoitu-weka.filters.unsupervised.attribute.NumericToNominal-R14-weka.filters.unsupervised.attribute.MergeManyValues-C14-Lmerged-R2,3,4 Instances: 266 Attributes: 19 1=vaika 2=paino 3=lisamunratio 4=maksaratio 5=pernaratio 6=sydanratio 7=thymusratio 8=umpisratio 9=neitsyt 10=rasitus 11=gonratio 12=uusrasvaratio 13=batratio 14=vhaava 15=hanta 16=hantaratio 17=vart 18=painoind 19=paikka Test mode: 10-fold cross-validation === Classifier model (full training set) === Bayes Network Classifier not using ADTree #attributes=19 #classindex=13 Network structure (nodes followed by parents) 1=vaika(1): 14=vhaava 2=paino(1): 14=vhaava 3=lisamunratio(1): 14=vhaava 4=maksaratio(1): 14=vhaava 5=pernaratio(1): 14=vhaava 6=sydanratio(1): 14=vhaava 7=thymusratio(1): 14=vhaava 8=umpisratio(1): 14=vhaava 9=neitsyt(1): 14=vhaava 10=rasitus(1): 14=vhaava 11=gonratio(1): 14=vhaava 12=uusrasvaratio(1): 14=vhaava 13=batratio(1): 14=vhaava 14=vhaava(2): 15=hanta(1): 14=vhaava 16=hantaratio(1): 14=vhaava 17=vart(1): 14=vhaava 18=painoind(1): 14=vhaava 19=paikka(2): 14=vhaava LogScore Bayes: -278.4723743831132 LogScore BDeu: -280.1902748243574 LogScore MDL: -281.28588534840975 LogScore ENTROPY: -272.91064088523717 LogScore AIC: -275.91064088523717 Time taken to build model: 0.02 seconds === Stratified cross-validation === === Summary === Correctly Classified Instances 217 81.5789 % Incorrectly Classified Instances 49 18.4211 % Kappa statistic 0 Mean absolute error 0.2943 Root mean squared error 0.3931 Relative absolute error 97.3844 % Root relative squared error 101.3925 % Coverage of cases (0.95 level) 98.8722 % Mean rel. region size (0.95 level) 97.5564 % Total Number of Instances 266 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 1,000 0,816 1,000 0,899 0,000 0,542 0,823 1 0,000 0,000 0,000 0,000 0,000 0,000 0,542 0,211 merged Weighted Avg. 0,816 0,816 0,666 0,816 0,733 0,000 0,542 0,710 === Confusion Matrix === a b <-- classified as 217 0 | a = 1 49 0 | b = merged e) === Run information === Scheme: weka.classifiers.trees.J48 -C 0.25 -B -M 2 Relation: naaraatvalikoitu-weka.filters.unsupervised.attribute.NumericToNominal-Rfirst-last-weka.filters.unsupervised.attribute.MergeManyValues-C14-Lmerged-R2,4-weka.filters.unsupervised.attribute.MergeManyValues-C14-Lmerged-R2,3 Instances: 266 Attributes: 19 1=vaika 2=paino 3=lisamunratio 4=maksaratio 5=pernaratio 6=sydanratio 7=thymusratio 8=umpisratio 9=neitsyt 10=rasitus 11=gonratio 12=uusrasvaratio 13=batratio 14=vhaava 15=hanta 16=hantaratio 17=vart 18=painoind 19=paikka Test mode: 10-fold cross-validation === Classifier model (full training set) === J48 pruned tree ------------------ 4=maksaratio = 0.066: merged (5.0/1.0) 4=maksaratio != 0.066 | 2=paino = 377: merged (2.0) | 2=paino != 377 | | 3=lisamunratio = 0.573: merged (2.0) | | 3=lisamunratio != 0.573 | | | 5=pernaratio = 0.0022: merged (2.0) | | | 5=pernaratio != 0.0022 | | | | 8=umpisratio = 0.0085: merged (2.0) | | | | 8=umpisratio != 0.0085 | | | | | 15=hanta = 18 | | | | | | 5=pernaratio = 0.0037: 1 (2.0) | | | | | | 5=pernaratio != 0.0037 | | | | | | | 16=hantaratio = 0.84: 1 (2.0) | | | | | | | 16=hantaratio != 0.84: merged (6.0) | | | | | 15=hanta != 18 | | | | | | 5=pernaratio = 0.0067 | | | | | | | 10=rasitus = 2: merged (3.0) | | | | | | | 10=rasitus != 2: 1 (2.0) | | | | | | 5=pernaratio != 0.0067: 1 (238.0/28.0) Number of Leaves : 11 Size of the tree : 21 Time taken to build model: 0.03 seconds === Stratified cross-validation === === Summary === Correctly Classified Instances 208 78.1955 % Incorrectly Classified Instances 58 21.8045 % Kappa statistic 0.1219 Mean absolute error 0.2695 Root mean squared error 0.4256 Relative absolute error 89.179 % Root relative squared error 109.7892 % Coverage of cases (0.95 level) 96.2406 % Mean rel. region size (0.95 level) 93.609 % Total Number of Instances 266 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,917 0,816 0,833 0,917 0,873 0,129 0,568 0,842 1 0,184 0,083 0,333 0,184 0,237 0,129 0,568 0,241 merged Weighted Avg. 0,782 0,681 0,741 0,782 0,756 0,129 0,568 0,731 === Confusion Matrix === a b <-- classified as 199 18 | a = 1 40 9 | b = merged f) (Naiivi Bayes) === Stratified cross-validation === === Summary === Correctly Classified Instances 154 57.8947 % Incorrectly Classified Instances 112 42.1053 % Kappa statistic 0.0496 Mean absolute error 0.4297 Root mean squared error 0.5553 Relative absolute error 142.1639 % Root relative squared error 143.2316 % Coverage of cases (0.95 level) 90.2256 % Mean rel. region size (0.95 level) 84.9624 % Total Number of Instances 266 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,604 0,531 0,834 0,604 0,701 0,058 0,594 0,869 1 0,469 0,396 0,211 0,469 0,291 0,058 0,594 0,280 merged Weighted Avg. 0,579 0,506 0,720 0,579 0,625 0,058 0,594 0,760 === Confusion Matrix === a b <-- classified as 131 86 | a = 1 26 23 | b = merged (Naiivi Bayes poistettuani painot ja ratiot hantaa ja sydanta lukuunottamatta) === Stratified cross-validation === === Summary === Correctly Classified Instances 202 75.9398 % Incorrectly Classified Instances 64 24.0602 % Kappa statistic 0.2471 Mean absolute error 0.288 Root mean squared error 0.4226 Relative absolute error 95.2943 % Root relative squared error 108.992 % Coverage of cases (0.95 level) 96.2406 % Mean rel. region size (0.95 level) 83.0827 % Total Number of Instances 266 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,834 0,571 0,866 0,834 0,850 0,248 0,676 0,884 1 0,429 0,166 0,368 0,429 0,396 0,248 0,676 0,295 merged Weighted Avg. 0,759 0,497 0,774 0,759 0,766 0,248 0,676 0,776 === Confusion Matrix === a b <-- classified as 181 36 | a = 1 28 21 | b = merged (BayesNet ilman poistettuja muuttujia) === Stratified cross-validation === === Summary === Correctly Classified Instances 181 68.0451 % Incorrectly Classified Instances 85 31.9549 % Kappa statistic 0.4066 Mean absolute error 0.2521 Root mean squared error 0.4093 Relative absolute error 88.8515 % Root relative squared error 109.0202 % Coverage of cases (0.95 level) 89.0977 % Mean rel. region size (0.95 level) 59.2732 % Total Number of Instances 266 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,543 0,147 0,358 0,543 0,432 0,335 0,748 0,357 1 0,886 0,160 0,456 0,886 0,602 0,562 0,935 0,662 2 0,668 0,200 0,903 0,668 0,768 0,414 0,793 0,886 3 Weighted Avg. 0,680 0,188 0,773 0,680 0,702 0,423 0,806 0,787 === Confusion Matrix === a b c <-- classified as 19 6 10 | a = 1 0 31 4 | b = 2 34 31 131 | c = 3 (BayesNet poistetuilla muuttujilla) === Run information === Scheme: weka.classifiers.bayes.BayesNet -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5 Relation: naaraatvalikoitu-weka.filters.unsupervised.attribute.NumericToNominal-R14-weka.filters.unsupervised.attribute.MergeManyValues-C14-Lmerged-R2,3,4-weka.filters.unsupervised.attribute.NumericToNominal-Rfirst-last-weka.filters.unsupervised.attribute.Remove-R2-5,7-8,11-13 Instances: 266 Attributes: 10 1=vaika 6=sydanratio 9=neitsyt 10=rasitus 14=vhaava 15=hanta 16=hantaratio 17=vart 18=painoind 19=paikka Test mode: 10-fold cross-validation === Classifier model (full training set) === Bayes Network Classifier not using ADTree #attributes=10 #classindex=4 Network structure (nodes followed by parents) 1=vaika(3): 14=vhaava 6=sydanratio(37): 14=vhaava 9=neitsyt(2): 14=vhaava 10=rasitus(3): 14=vhaava 14=vhaava(2): 15=hanta(67): 14=vhaava 16=hantaratio(30): 14=vhaava 17=vart(36): 14=vhaava 18=painoind(234): 14=vhaava 19=paikka(3): 14=vhaava LogScore Bayes: -6382.213203591041 LogScore BDeu: -11566.519156649003 LogScore MDL: -10132.294425926248 LogScore ENTROPY: -7862.603176406486 LogScore AIC: -8675.603176406486 Time taken to build model: 0 seconds === Stratified cross-validation === === Summary === Correctly Classified Instances 199 74.812 % Incorrectly Classified Instances 67 25.188 % Kappa statistic 0.2176 Mean absolute error 0.3012 Root mean squared error 0.4406 Relative absolute error 99.6464 % Root relative squared error 113.658 % Coverage of cases (0.95 level) 94.7368 % Mean rel. region size (0.95 level) 81.5789 % Total Number of Instances 266 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,825 0,592 0,861 0,825 0,842 0,219 0,667 0,879 1 0,408 0,175 0,345 0,408 0,374 0,219 0,667 0,295 merged Weighted Avg. 0,748 0,515 0,766 0,748 0,756 0,219 0,667 0,772 === Confusion Matrix === a b <-- classified as 179 38 | a = 1 29 20 | b = merged Siis Correctly Classified Instances -arvot ovat a: 78.1955 b(oletus): 73.3083 b(0): 78.9474 b(15): 76.6917 c: 74.812 d: 81.5789 e: 78.1955 f(naiivi): 57.8947 f(naiivi-): 75.9398 f(bayesnet): 68.0451 f(bayesnet-): 74.812 - = datasta poistettu painot ja ratiot hantaa ja sydanta lukuunottamatta Huomioita - Bayes-luokittelija vaikuttaa pärjäävän paremmin useamman muuttujan ollessa jatkuvaluonteisia. - Toisaalta Bayes-luokittelija hyötyy (valistuneella arvauksella) siistitystä datasta. - J48 suoriutuu likimain yhtä hyvin molemmissa tapauksissa. - Luulisin jollain valistuneella arvauksella / peukalosäännöllä yhden piilotason neuroverkon kykenevään jopa parempaankin tulokseen kuin ilman piilotasoa. - Heikoimmat tulokset diskretoidulla datalla ajettu naiivi Bayes sekä BayesNet. - Paras tulos numeerista dataa vasten ajetulla BayesNetillä. - Muuten tulokset ovat melko sievästi 70-80 %:n tuntumassa.