query: Training accuracy is ~97% but validation accuracy is stuck at ~40%. What does it imply?
positive_passages.docid: 16571
positive_passages.text: How to know the model has started overfitting?
negative_passages.docid: 1265
negative_passages.text: Is my model any good, based on the diagnostic metric ($R^2$/ AUC/ accuracy/ RMSE etc.) value?
negative_passages.docid: 121031
negative_passages.text: What's the accuracy of data obtained through a random sample?
negative_passages.docid: 54070
negative_passages.text: What is a reliable measure of accuracy for logistic regression?
negative_passages.docid: 103820
negative_passages.text: Why is AUC higher for a classifier that is less accurate than for one that is more accurate?
negative_passages.docid: 64175
negative_passages.text: How to estimate confidence level for SVM or Random Forest?
negative_passages.docid: 67179
negative_passages.text: AUC and class imbalance in training/test dataset
negative_passages.docid: 20531
negative_passages.text: Why is accuracy not the best measure for assessing classification models?
negative_passages.docid: 76435
negative_passages.text: ValidateCredentials returns true for unknown user?
negative_passages.docid: 153285
negative_passages.text: Is hyperparameter tuning on sample of dataset a bad idea?
negative_passages.docid: 115455
negative_passages.text: What is the correct way to use train, validation and test set when comparing classifiers?
negative_passages.docid: 27683
negative_passages.text: Shouldn't the badge requirements scale?
negative_passages.docid: 19145
negative_passages.text: Validation of machine learning algorithms implementation
negative_passages.docid: 86032
negative_passages.text: How to determine the confidence of a neural network prediction?
negative_passages.docid: 98728
negative_passages.text: Random forest is overfitting?
negative_passages.docid: 8703
negative_passages.text: How to apply standardization/normalization to train- and testset if prediction is the goal?
negative_passages.docid: 94221
negative_passages.text: What causes sudden drops in training/test errors when training a neural network?