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weka.RandomizableFilteredClassifier

Visibility: public Uploaded 12-04-2018 by Blazej Manczak
Weka_3.8.2 0 runs

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Weka implementation of RandomizableFilteredClassifier

-do-not-check-capabilities | If set, classifier capabilities are not checked before classifier is built (use with caution). | |

A | The nearest neighbour search algorithm to use (default: weka.core.neighboursearch.LinearNNSearch). | |

D | The distribution to use for calculating the random matrix. Sparse1 is: sqrt(3)*{-1 with prob(1/6), 0 with prob(2/3), +1 with prob(1/6)} Sparse2 is: {-1 with prob(1/2), +1 with prob(1/2)} | |

E | Minimise mean squared error rather than mean absolute error when using -X option with numeric prediction. | |

F | Full class name of filter to use, followed by filter options. default: "weka.filters.unsupervised.attribute.RandomProjection -N 10 -D Sparse1" | default: weka.filters.unsupervised.attribute.RandomProjection -N 10 -R 42 -D Sparse1 |

I | Weight neighbours by the inverse of their distance (use when k > 1) | |

K | Number of nearest neighbours (k) used in classification. (Default = 1) | |

M | Replace missing values using the ReplaceMissingValues filter instead of just skipping them. | |

N | The number of dimensions (attributes) the data should be reduced to (default 10; exclusive of the class attribute, if it is set). | |

P | The percentage of dimensions (attributes) the data should be reduced to (exclusive of the class attribute, if it is set). The -N option is ignored if this option is present and is greater than zero. | |

R | The random seed for the random number generator used for calculating the random matrix (default 42). | |

S | Random number seed. (default 1) | default: 1 |

W | Full name of base classifier. (default: weka.classifiers.lazy.IBk) | default: weka.classifiers.lazy.IBk |

X | Select the number of nearest neighbours between 1 and the k value specified using hold-one-out evaluation on the training data (use when k > 1) | |

batch-size | The desired batch size for batch prediction (default 100). | |

doNotCheckForModifiedClassAttribute | If set, classifier will not check whether the filter modifies the class (use with caution). | |

num-decimal-places | The number of decimal places for the output of numbers in the model (default 2). | |

output-debug-info | If set, classifier is run in debug mode and may output additional info to the console |

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