A confusion matrix summarizes the performance of a classifier and allows us to identify details that accuracy does not tell us. To better understand how it works, let’s build a confusion matrix based on the table above: The above image displays the structure of a confusion matrix. Here is ...
Confusion Matrix helps us to visualize the point where our model gets confused in discriminating two classes. It can be understood well through a 2×2 matrix where the row represents theactual truth labels, and the column representsthe predicted labels. ...
Hi, I am using the python interface to fastText (https://github.com/salestock/fastText.py), but I have noticed the same problem here. I am testing a binary classification (i.e., labels: yes, no) with "supervised" and I am obtaining, in t...
Predicted class ABC Knownclass(class labelindata) A2552 B3324 C1015 Theconfusionmatrixshowshowthepredictionsaremadebythemodel.Therowscorrespondtotheknownclassofthe data,i.e.thelabelsinthedata.Thecolumnscorrespondtothepredictionsmadebythemodel.Thevalueofeachofelement inthematrixisthenumberofpredictionsmade...