query: what is training score vs validation score vs testing score
positive_passages.docid: 25763
positive_passages.text: What is the difference between test set and validation set?
negative_passages.docid: 43921
negative_passages.text: What does the Akaike Information Criterion (AIC) score of a model mean?
negative_passages.docid: 28164
negative_passages.text: Statistical significance (p-value) for comparing two classifiers with respect to (mean) ROC AUC, sensitivity and specificity
negative_passages.docid: 156475
negative_passages.text: Validation Error less than training error?
negative_passages.docid: 124034
negative_passages.text: Finding a replacement for the scoreboard player test
negative_passages.docid: 54302
negative_passages.text: Cross-Validation in plain english?
negative_passages.docid: 83655
negative_passages.text: Assumptions behind cross-validation
negative_passages.docid: 87047
negative_passages.text: For model selection/comparison, what kind of test should I use?
negative_passages.docid: 138454
negative_passages.text: Determining sample size for ML algorithm validation
negative_passages.docid: 72321
negative_passages.text: One-tail versus two-tail z-score
negative_passages.docid: 100176
negative_passages.text: Why only three partitions? (training, validation, test)
negative_passages.docid: 64707
negative_passages.text: Use of nested cross-validation
negative_passages.docid: 109407
negative_passages.text: ROC curve and confusion matrix in classifier performance evaluation
negative_passages.docid: 753
negative_passages.text: Multiclassing: How do Ability Score Improvements work?
negative_passages.docid: 133562
negative_passages.text: Name of mean absolute error analogue to Brier score?
negative_passages.docid: 89330
negative_passages.text: Machine Learning - Where is the difference between one-class, binary-class and multinominal-class classification?
negative_passages.docid: 115455
negative_passages.text: What is the correct way to use train, validation and test set when comparing classifiers?