create_precisionRecallSummary: creates a summary with precision, recall, and F1 scores.

In RTextTools: Automatic Text Classification via Supervised Learning

Description

Creates a summary with precision, recall, and F1 scores for each algorithm broken down by unique label.

Usage

create_precisionRecallSummary(container, classification_results, b_value = 1)

Arguments

container	Class of type matrix_container-class generated by the create_container function.
classification_results	A cbind() of result objects returned by classify_model, or the object returned by classify_models.
b_value	b-value for generating precision, recall, and F-scores statistics.

Author(s)

Loren Collingwood, Timothy P. Jurka

Examples

library(RTextTools)
data(NYTimes)
data <- NYTimes[sample(1:3100,size=100,replace=FALSE),]
matrix <- create_matrix(cbind(data["Title"],data["Subject"]), language="english", 
removeNumbers=TRUE, stemWords=FALSE, weighting=tm::weightTfIdf)
container <- create_container(matrix,data$Topic.Code,trainSize=1:75, testSize=76:100, 
virgin=FALSE)
models <- train_models(container, algorithms=c("RF","SVM"))
results <- classify_models(container, models)
precision_recall_f1 <- create_precisionRecallSummary(container, results)

RTextTools documentation built on April 26, 2020, 9:05 a.m.