accuracy_score: Accuracy Score

In janetxinli/glmPredict: Make Predictions from a Generalised Linear Model

Description

Given a set of predictions from glm_predict and the correct data, returns the accuracy of the predictions.

Usage

accuracy_score(correct, predictions, normalize = TRUE)

Arguments

correct	True/correct labels.
predictions	Predicted labels.
normalize	Normalize the accuracy to the number of samples. default = TRUE.

Value

accuracy (numeric): If normalize==TRUE, this is the fraction of correctly classified examples. Otherwise, returns the number correct predictions.

Examples

cancer_model <- glm(malignant ~ texture_mean, data=cancer_clean, family="quasibinomial")
cancer_preds <- glm_predict(cancer_model, "malignant")
accuracy <- accuracy_score(cancer_clean[["malignant"]], cancer_preds[[".prediction"]])

janetxinli/glmPredict documentation built on Jan. 1, 2021, 4:28 a.m.