query: Reporting result of classifiers
positive_passages.docid: 155013
positive_passages.text: How to validate k-fold cross validation results for classifiers?
negative_passages.docid: 66215
negative_passages.text: Training a decision tree against unbalanced data
negative_passages.docid: 26149
negative_passages.text: Logistic regression vs. LDA as two-class classifiers
negative_passages.docid: 30316
negative_passages.text: Output of Logistic Regression Prediction
negative_passages.docid: 58047
negative_passages.text: Decision Trees and Regression - Can predicted values be outside range of training data?
negative_passages.docid: 42256
negative_passages.text: Binary classification with strongly unbalanced classes
negative_passages.docid: 151342
negative_passages.text: Is there an optimal loss function for dealing with imbalanced classes?
negative_passages.docid: 94048
negative_passages.text: ROC vs Precision-recall curves on imbalanced dataset
negative_passages.docid: 11139
negative_passages.text: Why AUC =1 even classifier has misclassified half of the samples?
negative_passages.docid: 109407
negative_passages.text: ROC curve and confusion matrix in classifier performance evaluation
negative_passages.docid: 125509
negative_passages.text: Scikit Learn Missing Data - Categorical values
negative_passages.docid: 38616
negative_passages.text: Clusering based on categorical variables?
negative_passages.docid: 121868
negative_passages.text: Logistic regression residual analysis
negative_passages.docid: 124976
negative_passages.text: How to do one-class text classification?
negative_passages.docid: 45881
negative_passages.text: Methods to work around the problem of missing data in machine learning
negative_passages.docid: 42624
negative_passages.text: Class imbalance strategies
negative_passages.docid: 118753
negative_passages.text: Is feature selection with dummy coding of categorical variables problematic?