Flow

weka.LibLINEAR

Visibility: public Uploaded 05-02-2015 by Jan van Rijn
Weka_3.7.12 2404 runs

0 likes downloaded by 2 people 0 issues 0 downvotes , 2 total downloads

0 likes downloaded by 2 people 0 issues 0 downvotes , 2 total downloads

Issue | #Downvotes for this reason | By |
---|

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

B | Add Bias term with the given value if >= 0; if < 0, no bias term added (default: 1) | default: 1.0 |

C | Set the cost parameter C (default: 1) | default: 1.0 |

E | Set tolerance of termination criterion (default: 0.01) | default: 0.01 |

M | Turn off missing value replacement. WARNING: use only if your data has no missing values. | |

N | Turn on nominal to binary conversion. | |

P | Use probability estimation (default: off) currently for L2-regularized logistic regression, L1-regularized logistic regression or L2-regularized logistic regression (dual)! | |

S | Set type of solver (default: 1) for multi-class classification 0 -- L2-regularized logistic regression (primal) 1 -- L2-regularized L2-loss support vector classification (dual) 2 -- L2-regularized L2-loss support vector classification (primal) 3 -- L2-regularized L1-loss support vector classification (dual) 4 -- support vector classification by Crammer and Singer 5 -- L1-regularized L2-loss support vector classification 6 -- L1-regularized logistic regression 7 -- L2-regularized logistic regression (dual) for regression 11 -- L2-regularized L2-loss support vector regression (primal) 12 -- L2-regularized L2-loss support vector regression (dual) 13 -- L2-regularized L1-loss support vector regression (dual) | default: 1 |

W | Set the parameters C of class i to weight[i]*C (default: 1) | |

Z | Turn on normalization of input data (default: off) | |

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

0

Runs
Parameter:

Rendering chart

Rendering table