For discussions related to modeling, machine learning and deep learning. Related packages include caret, modelr, yardstick, rsample, parsnip, tensorflow, keras, cloudml, and tfestimators.
u <- union(test.data$breed_category,fitted.results1 )
t <- table(factor(test.data$breed_category, u), factor(fitted.results1, u))
confusionMatrix(t)
data size:18000 observations