num categories = 10
Train-counts: [1650  181  389 2877  433  347  538  197  369  212]
Test-counts: [ 719   56  189 1087  149  131  179   89  117   71]
MLPE: 0.01101

NPP:
NaiveCC   	mae=0.01718
NaivePCC  	mae=0.00898
NaiveACC  	mae=0.01560
NaivePACC 	mae=0.01062

StackCC   	mae=0.00790
StackPCC  	mae=0.00659 **
StackACC  	mae=0.00913
StackPACC 	mae=0.00771

ChainCC   	mae=0.01644
ChainPCC  	mae=0.00924
ChainACC  	mae=0.01767
ChainPACC 	mae=0.01140

MRQ-CC    	mae=0.01130
MRQ-PCC   	mae=0.00941
MRQ-ACC   	mae=0.01153
MRQ-PACC  	mae=0.01000

MRQ-StackCC	mae=0.00757
MRQ-StackPCC	mae=0.00652 **
MRQ-StackACC	mae=0.00799
MRQ-StackPACC	mae=0.00763

MRQ-StackCC-app	mae=0.00791
MRQ-StackPCC-appmae=0.00840
MRQ-StackACC-appmae=0.00910
MRQ-StackPACC-apmae=0.00941

MRQ-ChainCC	mae=0.00989
MRQ-ChainPCC	mae=0.00916
MRQ-ChainACC	mae=0.01251
MRQ-ChainPACC	mae=0.00954

APP:
NaiveCC   	mae=0.04120
NaivePCC  	mae=0.03741
NaiveACC  	mae=0.03202
NaivePACC 	mae=0.02293

StackCC   	mae=0.01969
StackPCC  	mae=0.01871
StackACC  	mae=0.01386 **
StackPACC 	mae=0.01267 **

ChainCC   	mae=0.04136
ChainPCC  	mae=0.03571
ChainACC  	mae=0.03622
ChainPACC 	mae=0.02659

MRQ-CC    	mae=0.04356
MRQ-PCC   	mae=0.02532
MRQ-ACC   	mae=0.05716
MRQ-PACC  	mae=0.02936

MRQ-StackCC	mae=0.02448
MRQ-StackPCC	mae=0.02090
MRQ-StackACC	mae=0.02579
MRQ-StackPACC	mae=0.02388

MRQ-StackCC-app	mae=0.01535
MRQ-StackPCC-appmae=0.01457
MRQ-StackACC-appmae=0.01441
MRQ-StackPACC-apmae=0.01633

MRQ-ChainCC	mae=0.04874
MRQ-ChainPCC	mae=0.02537
MRQ-ChainACC	mae=0.06262
MRQ-ChainPACC	mae=0.02906