query: Evaluating Classification Models with Class Probabilities
positive_passages.docid: 16134
positive_passages.text: Determine accuracy of model which estimates probability of event
negative_passages.docid: 118753
negative_passages.text: Is feature selection with dummy coding of categorical variables problematic?
negative_passages.docid: 57060
negative_passages.text: Is normalizing the features always good for classification?
negative_passages.docid: 146981
negative_passages.text: Using Softmax activation function for multi-class classification
negative_passages.docid: 50358
negative_passages.text: Choosing Random Forests' parameters
negative_passages.docid: 138537
negative_passages.text: Training N classifiers for N labels vs one classifier with N labels
negative_passages.docid: 26149
negative_passages.text: Logistic regression vs. LDA as two-class classifiers
negative_passages.docid: 73139
negative_passages.text: Flexible and inflexible models in machine learning
negative_passages.docid: 19145
negative_passages.text: Validation of machine learning algorithms implementation
negative_passages.docid: 118434
negative_passages.text: Lift measure in data mining
negative_passages.docid: 111170
negative_passages.text: Testing large dataset for normality - how and is it reliable?
negative_passages.docid: 112378
negative_passages.text: Decision boundaries and Gaussian density functions
negative_passages.docid: 141640
negative_passages.text: Sklearn - Choosing the right model for supervised learning/classification task
negative_passages.docid: 98863
negative_passages.text: Which metric to use to evaluate highly imbalance classification model performance
negative_passages.docid: 123072
negative_passages.text: Three versions of discriminant analysis: differences and how to use them
negative_passages.docid: 80251
negative_passages.text: Compare classification performance of two heuristics
negative_passages.docid: 63640
negative_passages.text: Logistic regression with categorical predictors