query: Why is Training Error lower than Testing Error during the First Epoch?
positive_passages.docid: 156475
positive_passages.text: Validation Error less than training error?
negative_passages.docid: 6600
negative_passages.text: Is epoch optimization in CV with constant mini-batch size even possible?
negative_passages.docid: 10535
negative_passages.text: Keras Sequential model returns loss 'nan'
negative_passages.docid: 40520
negative_passages.text: In boosting, why are the learners "weak"?
negative_passages.docid: 8703
negative_passages.text: How to apply standardization/normalization to train- and testset if prediction is the goal?
negative_passages.docid: 73022
negative_passages.text: Sklearn ValueError: X has 2 features per sample; expecting 11
negative_passages.docid: 44322
negative_passages.text: train_test_split() error: Found input variables with inconsistent numbers of samples
negative_passages.docid: 50121
negative_passages.text: How to combine measurement error with statistic error
negative_passages.docid: 89077
negative_passages.text: Bootstrapped confidence intervals: different values at every computation?
negative_passages.docid: 51978
negative_passages.text: Keras - no prediction probability for multiple output models?
negative_passages.docid: 71090
negative_passages.text: Scikit learn - fit_transform on the test set
negative_passages.docid: 50274
negative_passages.text: The neural network is not learning properly
negative_passages.docid: 108285
negative_passages.text: Origin and formation to the ERROR ‘Dimension too large’
negative_passages.docid: 100176
negative_passages.text: Why only three partitions? (training, validation, test)
negative_passages.docid: 10855
negative_passages.text: How to use early stopping properly for training deep neural network?
negative_passages.docid: 36575
negative_passages.text: A first chance exception
negative_passages.docid: 63049
negative_passages.text: Train loss and accuracy