[418bf5]: / benchmark / CNS / cns_d.trees.HoeffdingTree_-L2-S1-E1.0E-7-H0.05-M0.01-G200.0-N0.0_AUC_FB.details.txt

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## Generated by BioDiscML (Leclercq et al. 2018)##
# Project: cns
# ID: trees.HoeffdingTree_AUC_FB_11_0.9333_110
# Classifier: trees.HoeffdingTree -L 2 -S 1 -E 1.0E-7 -H 0.05 -M 0.01 -G 200.0 -N 0.0
# Optimizer: AUC
# Feature search mode: FB
# 10 fold cross validation performance
ACC: 0.9333
AUC: 1
AUPRC: 1
TPR: 0.9333
TNR: 0.9641
MCC: 0.8682
BER: 0.0513
FPR: 0.0359
FNR: 0.0667
PPV: 0.944
FDR: 0.056
recall: 0.9333
Fscore: 0.9344
kappa: 0.8596
matrix: [21 0] [4 35]
# LOOCV (Leave-One-Out Cross Validation) performance
ACC: 0.9167
AUC: 1
AUPRC: 1
TPR: 0.9167
TNR: 0.9551
MCC: 0.8391
BER: 0.0641
FPR: 0.0449
FNR: 0.0833
PPV: 0.9327
FDR: 0.0673
recall: 0.9167
Fscore: 0.9182
kappa: 0.8264
matrix: [21 0] [5 34]
#Repeated Holdout evaluation performance on TRAIN set, 100 times weighted average (and standard deviation) on random seeds
Average weighted ACC: 0.91
Average weighted AUC: 0.973
Average weighted AUPRC: 0.984
Average weighted SEN: 0.91
Average weighted SPE: 0.933
Average weighted MCC: 0.815
Average weighted BER: 0.074
#Bootstrap evaluation performance on TRAIN set, 100 times weighted average (and standard deviation) on random seeds
Average weighted ACC: 0.911
Average weighted AUC: 0.982
Average weighted AUPRC: 0.984
Average weighted SEN: 0.911
Average weighted SPE: 0.924
Average weighted MCC: 0.819
Average weighted BER: 0.082
#Bootstrap .632+ rule calculated on TRAIN set, 100 folds with random seeds
0.096
# Selected Attributes (Total attributes:11). Occurrences are shown if you chose combined model
AFFX-CreX-3_st
HG2417-HT2513_at
L13923_at
M18728_at
M55593_at
M63962_rna1_at
U37673_at
U41737_at
U43747_s_at
X54938_at
X80230_at
# Attribute ranking by merit calculated by information gain
0.234 M55593_at
0.218 L13923_at
0.188 U43747_s_at
0.187 U37673_at
0.178 U41737_at
0.172 M18728_at
0.172 AFFX-CreX-3_st
0.172 M63962_rna1_at
0.172 HG2417-HT2513_at
0.162 X54938_at
0.157 X80230_at
# Correlated features (Spearman)
FeatureInSignature SpearmanCorrelationScore CorrelatedFeature
#nothing found !
# Correlated features (Pearson)
FeatureInSignature SpearmanCorrelationScore CorrelatedFeature
#nothing found !
## End of file ##