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DeepInsight3D_Results.txt
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DeepInsight3D_Results.txt
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Run1
SnowFall: 0
Method: tsne
Distance: euclidean
Use Previous Model: n
Stage 1
Net: resnet50
ObjFcnMeasure: accuracy
Stage: 1; Test Accuracy: 0.6744; ValErr: 0.3262;
Momentum: 0.801033; L2Regularization: 0.0125157; InitLearnRate: 4.98661e-05
AUC: 0.7789;
ConfusionMatrix:
25 13
1 4
Threshold: 0.35
#Genes = 5205; #Genes_compressed = 3331
Stage 1 Ends
Run2
SnowFall: 0
Method: tsne
Distance: euclidean
Use Previous Model: n
Stage 1
Net: resnet50
ObjFcnMeasure: accuracy
Stage: 1; Test Accuracy: 0.2558; ValErr: 0.3972;
Momentum: 0.801033; L2Regularization: 0.0125157; InitLearnRate: 4.98661e-05
AUC: 0.6158;
ConfusionMatrix:
7 31
1 4
Threshold: 0.30
#Genes = 7472; #Genes_compressed = 4729
Stage 1 Ends
Run2
SnowFall: 0
Method: tsne
Distance: euclidean
Use Previous Model: n
Stage 2
Net: resnet50
ObjFcnMeasure: accuracy
Stage: 2; Test Accuracy: 0.6047; ValErr: 0.4184;
Momentum: 0.801033; L2Regularization: 0.0125157; InitLearnRate: 4.98661e-05
AUC: 0.5368;
ConfusionMatrix:
23 15
2 3
Threshold: 0.30
#Genes = 4684; #Genes_compressed = 3518
Stage 2 Ends
Run2
SnowFall: 0
Method: tsne
Distance: euclidean
Use Previous Model: n
Stage 3
Net: resnet50
ObjFcnMeasure: accuracy
Stage: 3; Test Accuracy: 0.6744; ValErr: 0.2979;
Momentum: 0.801033; L2Regularization: 0.0125157; InitLearnRate: 4.98661e-05
AUC: 0.3842;
ConfusionMatrix:
28 10
4 1
Threshold: 0.30
#Genes = 2619; #Genes_compressed = 2093
Stage 3 Ends
Run2
SnowFall: 0
Method: tsne
Distance: euclidean
Use Previous Model: n
Stage 4
Net: resnet50
ObjFcnMeasure: accuracy
Stage: 4; Test Accuracy: 0.7442; ValErr: 0.4468;
Momentum: 0.801033; L2Regularization: 0.0125157; InitLearnRate: 4.98661e-05
AUC: 0.5842;
ConfusionMatrix:
31 7
4 1
Threshold: 0.30
#Genes = 822; #Genes_compressed = 679
Stage 4 Ends