59 search results - page 6 / 12 » Learning Decision Trees Using the Area Under the ROC Curve |
IJCAI
2003
13 years 11 months ago
2003
Predictive accuracy has been used as the main and often only evaluation criterion for the predictive performance of classification learning algorithms. In recent years, the area ...
ICML
2003
IEEE
14 years 10 months ago
2003
IEEE
In this paper we analyze the most popular evaluation metrics for separate-and-conquer rule learning algorithms. Our results show that all commonly used heuristics, including accur...
ICIP
2004
IEEE
14 years 11 months ago
2004
IEEE
We used transmittance images and different learning algorithms to classify insect damaged and un-damaged wheat kernels. Using the histogram of the pixels of the wheat images as th...
IJCNN
2006
IEEE
14 years 3 months ago
2006
IEEE
— Area Under the ROC Curve (AUC) is often used to evaluate ranking performance in binary classification problems. Several researchers have approached AUC optimization by approxi...
SIGKDD
2008
13 years 9 months ago
2008
This paper presents our solution for KDD Cup 2008 competition that aims at optimizing the area under ROC for breast cancer detection. We exploited weighted-based classification me...