I have created confusion matrix with python and I have gotten weird results that made me worried:
as you can see, I have value of two, and if I understand correct, normalized matrix cannot have value higher than 1. and also, some columns' sum is not 1.
this is how I created this matrix:
df_confusion = pd.crosstab(df['labels'], df['prediction']) df_conf_norm = df_confusion / df_confusion.sum(axis=1)
and then I just plot it.
my question is - is it possible to get value of 2? does the sum of column make sense not to be 1? do I have mistake? and if correct, what can explain that?