Hello, We're currently attempting a classification task using NeuralNetworkClassifier with the 'cross_entropy' loss function, as outlined in the tutorial found here: ... Binary classification problem ...

Problems where the variable to predict can take one of just two possible values (such as male or female) are called binary classification problems. Problems where the variable to predict can take one ...

A binary classification problem is one where the goal is to predict a discrete variable that has exactly two possible values. For example, you might want to predict a person's sex (male or female) ...

Classification problem is a decision making task where many researchers have been working on. There are a number of techniques proposed to perform classification. Neural network is one of the ...

Environment info Operating System: Win 7 64-bit CPU: Intel Core i7 C++/Python/R version: Python 3.5 Problem: sklearn GridSearchCV for hyper parameter tuning get worse performance on Binary ...

Binary decomposition of a multi-class classification problem is a widely used method in the field of machine learning, which involves using an ensemble of binary classifiers to undertake multi-class ...