An introduction to ROC analysis

Receiver operating characteristics (ROC) graphs are useful for organizing classifiers and visualizing their performance. ROC graphs are commonly used in me...

T Fawcett - 《Pattern Recognition Letters》

Updated world map of the Köppen-Geiger climate classification

Although now over 100 years old, the classification of climate originally formulated by Wladimir K ppen and modified by his collaborators and successors, i...

MC Peel，BL Finlayson，TA Mcmahon - 《Hydrology & Earth System Sciences》

The Relationship Between Precision-Recall and ROC Curves

Receiver Operator Characteristic (ROC) curves are commonly used to present results for binary decision problems in machine learning. However, when dealing with highly skewed datasets, Precision-Recall (PR) curves give a more informative ...

DAVIS,J.

Support Vector Data Description

Data domain description concerns the characterization of a data set. A good description covers all target data but includes no superfluous space. The bound...

David Martinus Johannes Tax，Robert P W Duin - 《Machine Learning》

ROC Graphs: Notes and Practical Considerations for Researchers

Receiver Operating Characteristics (ROC) graphs are a useful technique for organizing classifiers and visualizing their performance. ROC graphs are commonly used in medical decision making, and in recent years have been increasingly adop...

T Fawcett - 《Pattern Recognition Letters》

Robust Classification for Imprecise Environments

In real-world environments it usually is difficult to specify target operating conditions precisely, for example, target misclassification costs. This unce...

Foster，ProvostTom，Fawcett - 《Machine Learning》

Convergence across biomes to a common rain-use efficiency.

Water availability limits plant growth and production in almost all terrestrial ecosystems. However, biomes differ substantially in sensitivity of abovegro...

TE Huxman，MD Smith，PA Fay，... - 《Nature》

Using AUC and accuracy in evaluating learning algorithms

The area under the ROC (receiver operating characteristics) curve, or simply AUC, has been traditionally used in medical diagnosis since the 1970s. It has ...

H Jin，CX Ling - 《IEEE Transactions on Knowledge & Data Engineering》

Using AUC and Accuracy in Evaluating Learning Algorithms.

The area under the ROC (Receiver Operating Characteristics) curve, or simply AUC, has been traditionally used in medical diagnosis since the 1970s. It has ...

J Huang，Ling，X Charles - 《IEEE Transactions on Knowledge & Data Engineering》

A new Fruit Fly Optimization Algorithm: Taking the financial distress model as an example

The treatment of an optimization problem is a problem that is commonly researched and discussed by scholars from all kinds of fields. If the problem cannot...

WT Pan - Knowledge-Based Systems