using ConfusionMatrices
data = [121 1;3 200]
cm = ConfusionMatrix(data, classlabels=["Cats","Dogs"])
h = reprmime("text/html", cm)
Predicted class x̂ | |||||
---|---|---|---|---|---|
Cats | Dogs | Row total | Accuracy P(x̂|x) | ||
Actual class x | Cats | 121 | 1 | 122 | 0.99 |
Dogs | 3 | 200 | 203 | 0.99 | |
Column total | 124 | 201 | 325 | ||
Reliability P(x|x̂) | 0.98 | 1.00 | 0.99 |