precision_score: Precision Score

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

Description

Precision Score

Usage

precision_score(correct, predictions, pos_class = 1, neg_class = 0)

Arguments

correct	True/correct labels.
predictions	Predicted labels.
pos_class	Positive class label. Like the y value in glm, this must be between 0 and 1. default=1.
neg_class	Negative class label. Like the y value in glm, this must be between 0 and 1. default=0.

Value

precision (numeric): The precision (true positives / true positives + false positives) of the predictions

Examples

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

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