=== Clustering stats for training data ===

Cluster 0
(((((((((((((((((((3.27791666386051:52.78313,3.14255065701231:52.78313):2.21237,3.18761945369716:54.99549):0.07826,(3.24370749294583:51.78769,3.38880955943208:51.78769):3.28606):0.23033,((((3.23121458801646:50.8696,3.11743436139053:50.8696):1.7222,3.30482933362755:52.5918):0.91095,3.40321462070845:53.50275):0.23235,(3.08523424340332:51.87951,(3.15597746738249:50.33402,3.25760476822141:50.33402):1.54549):1.85559):1.56898):0.6559,(3.2300388287323:55.83751,(3.20777415291785:49.10533,3.1999365119806:49.10533):6.73218):0.12247):0.65159,(3.16337473730502:55.54197,3.36741787968223:55.54197):1.0696):0.35624,(3.43703331936767:56.37328,3.43398412392475:56.37328):0.59453):0.64349,3.33020627538472:57.61131):0.19742,(3.36349885088396:57.58543,3.28603145997268:57.58543):0.2233):0.10079,3.24585308851814:57.90952):0.07571,3.20370369231636:57.98522):0.92551,3.44717360031507:58.91073):0.06416,3.22029330875597:58.9749):0.22202,3.44576482526308:59.19692):0.83484,3.27200783572731:60.03176):1.72346,3.29460118296299:61.75522):2.31189,3.32086496040134:64.06711):0.06479,3.19150467392768:64.1319):0.29014,((3.2503027202663:59.71111,3.03855469349026:59.71111):2.21913,((3.21384057644636:59.14355,((3.20831734092112:55.74862,(3.01821286039896:48.46623,3.17638628706091:48.46623):7.28239):1.63779,(((3.12463798306612:53.68543,3.18272896163816:53.68543):0.7704,((3.35295785842413:52.44844,(3.28722573852418:48.43584,3.33345233022548:48.43584):4.01259):0.68288,3.31596192011684:53.13131):1.32451):2.50818,3.23870453994921:56.964):0.4224):1.75714):0.78994,3.19516386854209:59.93349):1.99676):2.4918)

Clustered Instances

0      45 ( 98%)
1       1 (  2%)


Class attribute: class
Classes to Clusters:

  0  1  <-- assigned to cluster
 36  1 | JMML
  9  0 | normal

Cluster 0 <-- JMML
Cluster 1 <-- No class

Incorrectly clustered instances :	10.0	 21.7391 %