Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Precision and Recall for Regression
The relationship between Precision-Recall and ROC curves
Feature Selection for Maximizing the Area Under the ROC Curve
Learning Decision Trees Using the Area Under the ROC Curve
Using the ROC Curve to Measure Association and Evaluate Prediction Accuracy for a Binary Outcome
Predictive Accuracy : A Misleading Performance Measure for Highly Imbalanced Data
The use of the area under the ROC curve in the evaluation of machine learning algorithms
Exact logistic regression: Theory and examples
Optimizing Area Under Roc Curve with SVMs
Estimating True and False Positive Rates in Higher Dimensional Problems and Its Data Mining Applications
Analyzing a Portion of the ROC Curve
Classification and Regression Trees
Logistic Regression
Fast Robust Logistic Regression for Large Sparse Datasets with Binary Outputs
Optimising area under the ROC curve using gradient descent
Measuring classifier performance: a coherent alternative to the area under the ROC curve
Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation
support vector machines and area under roc curve .
A Tutorial on Logistic Regression
Logistic regression, adaboost and bregman distances
Many regression algorithms, one unified model: A review
commercial visual analytics systems - advances in the big data analytics field .
Boosting the margin: A new explanation for the effectiveness of voting methods
Predicting user's multi-interests with network embedding in health-related topics
Deconstructing the Ladder Network Architecture
Image stablization for 2D barcode in handheld devices