query: How to deal with neural networks when the data is unbalanced (but unlimited)?
positive_passages.docid: 145653
positive_passages.text: Balanced sampling for network training?
negative_passages.docid: 6629
negative_passages.text: Find Neural Network Inputs Given Outputs
negative_passages.docid: 94048
negative_passages.text: ROC vs Precision-recall curves on imbalanced dataset
negative_passages.docid: 34949
negative_passages.text: Generating a high-dimensional dataset where nearest neighbor becomes meaningless
negative_passages.docid: 68765
negative_passages.text: How do I make my neural network better at predicting sine waves?
negative_passages.docid: 38075
negative_passages.text: What is the trade-off between batch size and number of iterations to train a neural network?
negative_passages.docid: 70893
negative_passages.text: How to Identify Overfitting in Convolutional Neural network?
negative_passages.docid: 119698
negative_passages.text: Why are bias nodes used in neural networks?
negative_passages.docid: 86032
negative_passages.text: How to determine the confidence of a neural network prediction?
negative_passages.docid: 63655
negative_passages.text: Neural network with skip-layer connections
negative_passages.docid: 51420
negative_passages.text: Evaluating multiclass imbalanced problem per class
negative_passages.docid: 91625
negative_passages.text: Classification/evaluation metrics for highly imbalanced data
negative_passages.docid: 113807
negative_passages.text: Testing Classification on Oversampled Imbalance Data
negative_passages.docid: 142667
negative_passages.text: Understanding how many biases are there in a neural network?
negative_passages.docid: 40442
negative_passages.text: Is up- or down-sampling imbalanced data actually that effective? Why?
negative_passages.docid: 58402
negative_passages.text: Importance of the bias node in neural networks
negative_passages.docid: 98863
negative_passages.text: Which metric to use to evaluate highly imbalance classification model performance