Ich habe versucht, den EM-Algorithmus auf Daten mit den Standard-Parameter in WEKA zu laufen und ich bin nicht in der Lage zu verstehen, wie man es interpretieren?Wie interpretiere ich die Ausgabe von EM auf weka
=== Run information === Scheme: weka.clusterers.EM -I 100 -N -1 -X 10 -max -1 -ll-cv 1.0E-6 -ll-iter 1.0E-6 -M 1.0E-6 -K 10 -num-slots 1 -S 100 Relation: Chronic_Kidney_Disease-weka.filters.unsupervised.attribute.Remove-R12-weka.filters.unsupervised.attribute.Remove-R3-weka.filters.unsupervised.attribute.Remove-R3-4-weka.filters.unsupervised.attribute.Remove-R5-10,12-20 Instances: 800 Attributes: 6 age bp rbc pc hemo class Test mode: evaluate on training data === Clustering model (full training set) === EM == Number of clusters selected by cross validation: 6 Number of iterations performed: 100 Cluster Attribute 0 1 2 3 4 5 (0.29) (0.22) (0.38) (0.02) (0.04) (0.05) =================================================================== age mean 53.5869 65.0962 46.44 51.3652 56.1297 10.939 std. dev. 12.4505 7.9718 15.546 3.7759 10.2604 6.7004 bp mean 77.3114 79.7 71.4394 115.138 92.1235 66.5196 std. dev. 11.7858 12.1008 8.4722 31.4278 5.8351 10.0583 rbc normal 185.8341 165.6585 306.8285 14.0588 7.3129 32.3071 abnormal 45.4643 13.3988 1.0652 3.3197 29.7885 6.9635 [total] 231.2984 179.0574 307.8937 17.3785 37.1015 39.2706 pc normal 152.713 147.8797 306.8886 13.0467 1.9999 31.4721 abnormal 78.5854 31.1776 1.005 4.3319 35.1016 7.7985 [total] 231.2984 179.0574 307.8937 17.3785 37.1015 39.2706 hemo mean 10.6591 11.7665 15.0745 9.5796 8.1499 12.0494 std. dev. 2.1313 1.1677 1.3496 2.5159 2.1512 1.5108 class ckd 230.1835 177.972 7.2109 16.3651 36.1014 38.167 notckd 1.1149 1.0853 300.6828 1.0134 1 1.1036 [total] 231.2984 179.0574 307.8937 17.3785 37.1015 39.2706 Time taken to build model (full training data) : 13.21 seconds === Model and evaluation on training set === Clustered Instances 0 218 (27%) 1 196 (25%) 2 302 (38%) 3 12 ( 2%) 4 34 ( 4%) 5 38 ( 5%) Log likelihood: -11.18988
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Vielen Dank im Voraus