Confusion Matrices

Below are a series of confusion matrices referenced in Macroanalysis: Digital Methods and Literary History. UIUC Press, 2013

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GENDER
Gender Precision    Recall
M    0.801699717    0.771117166
F    0.76203966    0.793510324
 
DECADE
Decade    Precision    Recall
1840    0.283783784    0.368421
1830    0.314285714    0.511628
1790    0.603305785    0.730000
1780    0.916666667    0.161765
1860    0.705882353    0.507042
1850    0.58    0.341176
1810    0.534591195    0.607143
1800    0.390625    0.384615
1820    0.315789474    0.535714
1870    1    0.476190
 
GENRE
Genre    Precision    Recall
Historical    0.657303371    0.769736842
Newgate    0.659574468    0.462686567
Jacobin    0.65625    0.583333333
Gothic    0.6    0.504950495
Silver-Fork    0.317460317    0.571428571
Sensation    0.882352941    0.75
Bildungsroman     0.676923077    0.745762712
Industrial    0.690909091    0.5
Evanagelical    0.769230769    0.740740741
National    0.481481481    0.928571429
Anti-Jacobin    0.828571429    0.591836735
 
AUTHOR
Author    Precision    Recall
Ainsworth    0.958333333    0.958333333
Bage    1    0.777777778
Beckford    1    0.8
Blessington    1    0.909090909
Braddon    0.8    1
Bronte    0.826086957    1
Brunton    0.875    1
Collins    1    1
Craik    1    1