Train & validation policy

Train/test splitting strategy{{ modelData.coreParams.customTrainTestSplit ? "Fixed" : "Default" }}

Fixed folds definition

Train start{{ interval["train"][0] }}
Train end{{ interval["train"][1] }}
Test start{{ interval["test"][0] }}
Test end{{ interval["test"][1] }}

Data set

Generated on{{modelData.splitDesc.generationDate|date:'yyyy/MM/dd HH:mm:ss'}}
Rows{{modelData.trainInfo.fullRows}}

Train & test sets

Generated on{{(modelData.splitDesc.generationDate || modelData.trainInfo.startTime) | date:'yyyy/MM/dd HH:mm:ss'}}
Train set rows{{modelData.trainInfo.trainRows}}
Test set rows{{modelData.trainInfo.testRows}}
* A subsampling of ~1M rows was done on testing

Hyper parameters

ModeSimple train/validation split
Mode{{modelData.modeling.grid_search_params.nFolds}}-fold cross-test
ModeTime-based {{modelData.modeling.grid_search_params.nFolds}}-fold cross-test
ModeSimple time-based split
ModeCustom code
Split ratio{{modelData.modeling.grid_search_params.splitRatio}}
Stratified{{modelData.modeling.grid_search_params.stratified ? 'Yes' : 'No'}}
Grouped{{modelData.modeling.grid_search_params.grouped ? 'Yes' : 'No'}}
Group column{{modelData.modeling.grid_search_params.groupColumnName}}
Fold offset{{modelData.modeling.grid_search_params.foldOffset ? 'Yes' : 'No'}}
Equal duration train set folds{{modelData.modeling.grid_search_params.equalDurationFolds ? 'Yes' : 'No'}}

Runtime configuration

Skip expensive reports
Enabled Diagnostics
Requested GPU Usage
Selected GPU indexes{{modelData.coreParams.executionParams.gpuConfig.params.gpuList | join:', '}}
Allow Growth
Memory allocation rate per GPU
Explicitly Disabled Capabilities

Timings

Preprocessed in {{mti.preprocessingTime/1000|number:1}}s
Trained in {{mti.trainingTime/1000|number:1}}s