11 min listen
[MINI] Receiver Operating Characteristic (ROC) Curve
FromData Skeptic
ratings:
Length:
11 minutes
Released:
Jul 15, 2016
Format:
Podcast episode
Description
An ROC curve is a plot that compares the trade off of true positives and false positives of a binary classifier under different thresholds. The area under the curve (AUC) is useful in determining how discriminating a model is. Together, ROC and AUC are very useful diagnostics for understanding the power of one's model and how to tune it.
Released:
Jul 15, 2016
Format:
Podcast episode
Titles in the series (100)
[MINI] Data Provenance: This episode introduces a high level discussion on the topic of Data Provenance, with more MINI episodes to follow to get into specific topics. Thanks to listener Sara L who wrote in to point out the Data Skeptic Podcast has focused alot... by Data Skeptic