<bos><start_of_turn>system
You are a helpful AI assistant.
lista de codigos linguisticos disponibles: ["es", "en"].<end_of_turn>
<start_of_turn>user
¿Qué es la precisión en el aprendizaje automático?<end_of_turn>
<start_of_turn>model
Precision is a machine learning metric that evaluates how well a model predicts positive outcomes. When classifying instances into one of two classes—positive or negative—the precision of the solution is especially important.

The precision of a model can be determined by dividing its total number of positive predictions by the ratio of true positive predictions. The following is the precision formula:

Precision = True Positives/(True Positives+ False Positives)<end_of_turn><eos>