Cross validation (nodes or CSV files)

Steps Cross-Validation from nodes.

1. Query data - map neo4j nodes.
2. Run the cross-validation from nodes procedures.

Cross-validation from nodes for InfoGain.

RETURN main.cvIG("class_label","number_of_folds")

This procedure is used to display cross-validation time for data from the graph database for InfoGain. "class_label" is the target attribute of the dataset. "number_of_folds" defines the number of folds for the cross-validation.

Cross-validation from nodes for GainRatio.

RETURN main.cvGR("class_label","number_of_folds")

This procedure is used to display cross-validation time for data from the graph database for GainRatio. "class_label" is the target attribute of the dataset. "number_of_folds" defines the number of folds for the cross-validation.

Cross-validation from nodes for Gini index.

RETURN main.cvGI("class_label","number_of_folds")

This procedure is used to display cross-validation time for data from the graph database for GiniIndex. "class_label" is the target attribute of the dataset. "number_of_folds" defines the number of folds for the cross-validation.

Steps Cross-validation from CSV files.

1. Run the Cross-validation for Csv files

Cross-validation time for data from CSV file for Info Gain.

RETURN main.cvIGcsv("class_label","number_of_folds")

This procedure is used to display cross-validation time for data from the graph database for InfoGain. "class_label" is the target attribute of the dataset. "number_of_folds" defines the number of folds for the cross-validation.

Cross-validation time for data from CSV file for GainRatio.

RETURN main.cvGRcsv("class_label","number_of_folds")

This procedure is used to display cross-validation time for data from the graph database for GainRatio. "class_label" is the target attribute of the dataset. "number_of_folds" defines the number of folds for the cross-validation.

Cross-validation time for data from CSV file for Gini Index.

RETURN main.cvGIcsv("class_label","number_of_folds")

This procedure is used to display cross-validation time for data from the graph database for GiniIndex. "class_label" is the target attribute of the dataset. "number_of_folds" defines the number of folds for the cross-validation.