Machine Learning, Data Science, R Programming, Neural Networks, Towards Data Science.
actual = test$class, prediction = round( nn.results$net.result ) ) # Confusion matrix library( caret ) t = table( results ) print( confusionMatrix( t ) ) ## Confusion Matrix and Statistics ## ## prediction ## actual 0 1 ## 0 79 0 ## 1 79 16 ## ## Accuracy : 0.545977 ## 95% CI : (0.4688867,