query: Minority class misclassification penalty in logistic regression (sklearn)
positive_passages.docid: 31300
positive_passages.text: Does an unbalanced sample matter when doing logistic regression?
negative_passages.docid: 125509
negative_passages.text: Scikit Learn Missing Data - Categorical values
negative_passages.docid: 156953
negative_passages.text: Pearson VS Deviance Residuals in logistic regression
negative_passages.docid: 9757
negative_passages.text: Logistic regression with binary dependent and independent variables
negative_passages.docid: 95663
negative_passages.text: How to interpret Mean Decrease in Accuracy and Mean Decrease GINI in Random Forest models
negative_passages.docid: 66062
negative_passages.text: Test logistic regression model using residual deviance and degrees of freedom
negative_passages.docid: 49594
negative_passages.text: Measuring accuracy of a logistic regression-based model
negative_passages.docid: 91880
negative_passages.text: Suggestions for cost-sensitive learning in a highly imbalanced setting
negative_passages.docid: 66215
negative_passages.text: Training a decision tree against unbalanced data
negative_passages.docid: 17469
negative_passages.text: weighted cross entropy for imbalanced dataset - multiclass classification
negative_passages.docid: 30316
negative_passages.text: Output of Logistic Regression Prediction
negative_passages.docid: 49502
negative_passages.text: Conditional posterior distribution of coefficient in logistic regression
negative_passages.docid: 116672
negative_passages.text: Why is logistic regression a linear classifier?
negative_passages.docid: 9119
negative_passages.text: Multiple logistic regression power analysis
negative_passages.docid: 148960
negative_passages.text: Out of Bag Error makes CV unnecessary in Random Forests?
negative_passages.docid: 36088
negative_passages.text: Class imbalance in Supervised Machine Learning
negative_passages.docid: 42483
negative_passages.text: Logistic regression with {-1,+1} labels