
 
 
 BA_2Motifs
 method: rcexplainer
 bloss version: sigmoid
 ckpt dir: ./ckpt/BA_2Motifs
 exp_path: ./ckpt/BA_2Motifs/RCExplainer/rcexplainer.pth.tar
 explainer params sum: 14.967788181267679, model params sum: 18.809767824597657
 use comb: True,  size cf: -1.0, ent cf -1.0
 noise percent: 10.0, inverse noise: False
 avg removed edges: 0.0
 pred removed edges: 0.0
 avg added edges: 0.0
 avg noise diff: 0.0
 avg pred diff: 0.0
 skipped iters: 0.0
 Average mask density: 0.10243915524118476
 pos diff: [ 0.69265709 -0.25497957], inv diff: [-0.15564668  0.58336155], topk inv diff: [0.15402207 0.26850999]
 Variance: 0.4229488500550638
 flips: [359. 341.], Inv flips: [359. 341.], topk: 8.0, topk Inv flips: [348.  46.], Incorrect preds: 2.0, Total: [359. 341.]Reporting statistics for PGExplainer_Boundary
Samples: 700
Edge fidelity prediction change: [0.51285714 0.47       0.48714286 0.48571429 0.48142857 0.47285714
 0.38428571 0.         0.        ]
 Edge fidelity confidence change: [0.22709385 0.18471627 0.2255503  0.20351925 0.19442862 0.16665827
 0.12065901 0.         0.        ] for sparsity [0.         0.57898605 0.78174298 0.83470575 0.88621907 0.92215232
 0.96147992 1.         1.        ]
Mask density: [0.10243916]
Sparsity, 0.0,0.5789860499756677,0.7817429819277355,0.8347057509422302,0.8862190701280321,0.9221523163148335,0.9614799204894474,1.0,1.0,
Fidelity, 0.22709385186433792,0.184716272183827,0.2255503020116261,0.20351924921785083,0.19442862136023384,0.16665827133825847,0.12065901155982699,0.0,0.0,

 
 
 BA_2Motifs
 method: rcexplainer
 bloss version: sigmoid
 ckpt dir: ./ckpt/BA_2Motifs
 exp_path: ./ckpt/BA_2Motifs/RCExplainer/rcexplainer.pth.tar
 explainer params sum: 14.967788181267679, model params sum: 18.809767824597657
 use comb: True,  size cf: -1.0, ent cf -1.0
 noise percent: 10.0, inverse noise: False
 avg removed edges: 0.0
 pred removed edges: 0.0
 avg added edges: 0.0
 avg noise diff: 0.0
 avg pred diff: 0.0
 skipped iters: 0.0
 Average mask density: 0.11840532644244567
 pos diff: [ 0.         -0.25497957], inv diff: [0.         0.58336155], topk inv diff: [0.         0.26850999]
 Variance: 0.41552762794938014
 flips: [  0. 341.], Inv flips: [  0. 341.], topk: 8.0, topk Inv flips: [ 0. 46.], Incorrect preds: 0.0, Total: [  1. 341.]Reporting statistics for PGExplainer_Boundary
Samples: 341
Edge fidelity prediction change: [0.         0.1085044  1.         0.99706745 0.98826979 0.97067449
 0.7888563  0.         0.        ]
 Edge fidelity confidence change: [-0.27368965  0.05042722  0.43271789  0.48956732  0.50827951  0.46505902
  0.34264107  0.          0.        ] for sparsity [0.         0.58005246 0.7758058  0.81780584 0.88675617 0.9226523
 0.96242307 1.         1.        ]
Mask density: [0.11840533]
Sparsity, 0.0,0.580052464239059,0.7758057994926431,0.817805836452417,0.8867561715788855,0.9226523045221032,0.9624230662399024,1.0,1.0,
Fidelity, -0.27368965194372136,0.050427223318133534,0.43271788683804596,0.48956731861987074,0.5082795051885141,0.46505902213784606,0.3426410738498934,0.0,0.0,

 
 
 BA_2Motifs
 method: rcexplainer
 bloss version: 
 ckpt dir: ./ckpt/BA_2Motifs
 exp_path: ./ckpt/BA_2Motifs/RCExplainer/rcexplainer.pth.tar
 explainer params sum: 14.967788181267679, model params sum: 18.809767824597657
 use comb: True,  size cf: -1.0, ent cf -1.0
 noise percent: 10.0, inverse noise: False
 avg removed edges: 0.0
 pred removed edges: 0.0
 avg added edges: 0.0
 avg noise diff: 0.0
 avg pred diff: 0.0
 skipped iters: 0.0
 Average mask density: 0.11840532644244567
 pos diff: [ 0.         -0.25497957], inv diff: [0.         0.58336155], topk inv diff: [0.         0.26850999]
 Variance: 0.41552762794938014
 flips: [  0. 341.], Inv flips: [  0. 341.], topk: 8.0, topk Inv flips: [ 0. 46.], Incorrect preds: 0.0, Total: [  1. 341.]Reporting statistics for PGExplainer_Boundary
Samples: 341
Edge fidelity prediction change: [0.         0.1085044  1.         0.99706745 0.98826979 0.97067449
 0.7888563  0.         0.        ]
 Edge fidelity confidence change: [-0.27368965  0.05042722  0.43271789  0.48956732  0.50827951  0.46505902
  0.34264107  0.          0.        ] for sparsity [0.         0.58005246 0.7758058  0.81780584 0.88675617 0.9226523
 0.96242307 1.         1.        ]
Mask density: [0.11840533]
Sparsity, 0.0,0.580052464239059,0.7758057994926431,0.817805836452417,0.8867561715788855,0.9226523045221032,0.9624230662399024,1.0,1.0,
Fidelity, -0.27368965194372136,0.050427223318133534,0.43271788683804596,0.48956731861987074,0.5082795051885141,0.46505902213784606,0.3426410738498934,0.0,0.0,
