Description Usage Arguments Value

View source: R/utilities_experiments.R

Find the attribute interactions in the given dataset.

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`dataset` |
The dataset to analyze |

`classname` |
The name of the class attribute in the dataset. Default is |

`seed_traintest` |
Random seed used for splitting the data into training and testing sets, default is 42. |

`seed` |
Random seed, default is 42. |

`classifier` |
The classifier to be used, as a string. Default is |

`alpha` |
Significance level (default is 0.05). |

`R` |
Number of samples to use for calculating the accuracy. Default is R = 1 + (1 / alpha). |

`Rmin` |
Ninimum number of replications to use for calculating p-values. Default is 250. |

`Rmax` |
Maximum number of replications to use for calculating p-values. Default is 500. |

`z` |
Parameter for confidence band for p-values. Use 1.96 for 95 percent, 2.25 for 97.5 percent and 2.57 for 99 percent. Default is 2.57. |

`prune_singletons` |
Should singletons be pruned. Default is |

`parallel` |
Calculate p-values in parallel (Boolean, default is |

`early_stopping` |
Use early stopping. Default is |

A results strucure (list with fields).

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