query: How to validate the model when using Smote technique?
positive_passages.docid: 18820
positive_passages.text: For imbalanced classification, should the validation dataset be balanced?
negative_passages.docid: 103967
negative_passages.text: How to split data into 3 sets (train, validation and test)?
negative_passages.docid: 156104
negative_passages.text: XML Schema to validate XML Schemas?
negative_passages.docid: 139879
negative_passages.text: Validation Rule on picklist under opportunities
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: 137100
negative_passages.text: Validation: Data splitting into training vs. test datasets
negative_passages.docid: 87047
negative_passages.text: For model selection/comparison, what kind of test should I use?
negative_passages.docid: 8703
negative_passages.text: How to apply standardization/normalization to train- and testset if prediction is the goal?
negative_passages.docid: 15728
negative_passages.text: How to use a a trained model
negative_passages.docid: 133812
negative_passages.text: UV Unwrapping a Modified Model
negative_passages.docid: 60320
negative_passages.text: Setting default model conditions
negative_passages.docid: 16571
negative_passages.text: How to know the model has started overfitting?
negative_passages.docid: 85966
negative_passages.text: How to check if a file is a valid image file?
negative_passages.docid: 149213
negative_passages.text: How confident is my model? Is there a way to know?
negative_passages.docid: 23733
negative_passages.text: how to validate file upload in drupal
negative_passages.docid: 108157
negative_passages.text: Canasta and the rules on invalid melding
negative_passages.docid: 4541
negative_passages.text: ZIP Code (US Postal Code) validation