build_confusion_mat: Build confusion matrix

In PACCAR/DataScience_PkgPattern: Example Package For PACCAR ITD R Package Pattern

Description

Build a confusion matrix from actual and predicted class comparisons.

Usage

build_confusion_mat(actual, predicted)

Arguments

actual	Actual classes list
predicted	Predicted classes list

Value

confusion.matrix Confusion matrix in table format.

Examples

 train.index <- split_data(iris.data, 0.7)
 training.data <- iris.data[train.index, ]
 test.data <- iris.data[-train.index, ]

 obj.func <- formula(Species ~ Sepal.Length + Sepal.Width)
 my.model <- train_tree(obj.func, training.data)

 predictions <- run_model(my.model, test.data)

 build_confusion_mat(predictions$Species, predictions$predict)

PACCAR/DataScience_PkgPattern documentation built on May 7, 2019, 11:48 p.m.