Outputs the total number of instances classified, and the number of instances if any that had no class value provided. Sets whether to discard predictions, ie, not storing them for future reference via predictions method in order to conserve memory. Also, serialized models created in 3. There are different options for downloading and installing it on your system: Old versions All old versions of Weka are available from the Sourceforge website. Gets the number of instances not classified that is, for which no prediction was made by the classifier.

Uploader: | Goltitaur |

Date Added: | 3 August 2006 |

File Size: | 8.72 Mb |

Operating Systems: | Windows NT/2000/XP/2003/2003/7/8/10 MacOS 10/X |

Downloads: | 54267 |

Price: | Free* [*Free Regsitration Required] |

Note that the data must have exactly the same format e. Lists number and percentage of instances classified correctly, incorrectly and unclassified.

# Download weka-dev JAR ➔ With all dependencies!

Windows Click here to download a self-extracting executable for bit Windows that includes Oracle’s bit Java VM 1. This branch of Weka receives bug fixes only, although new features may become available in packages. There are different options for downloading and installing it on your system: This is defined as incorrectly classified positives.

Returns the area under ROC for those predictions that have been collected in the evaluateClassifier Classifier, Instances method. Gets the number of instances incorrectly classified that is, for which an incorrect prediction was made.

This is defined as correctly classified positives total positives Which is also the same as the truePositiveRate. For the bleeding edge, it is also possible to download nightly snapshots. Wrka case the filename ends with “. Calculate the number of true positives with respect to a particular class. Download the second version if you already have Java 1.

Otherwise the results will generally be meaningless.

To run Weka, change into that directory and type java -jar weka. Gets the average cost, that is, total cost of misclassifications incorrect plus unclassified over the total number of instances. Refers to the error of the predicted values for numeric classes, 3.7.1 the error of the predicted probability distribution for nominal classes.

This is defined as correctly classified positives total positives. Download the version without the Java VM if you already have Java 1.

This is defined as correctly classified negatives total negatives. Calculate the true negative rate with respect to a particular class. Gets the 33.7.10 of instances correctly classified that is, for which a correct prediction was made.

Gets the percentage of instances not classified that is, for which no prediction was made by the classifier. Gets the percentage of instances correctly classified that is, for which a correct prediction was made. Calculate the number of true eeka with respect to a particular class. Output the cumulative margin distribution as a string suitable for input for gnuplot or similar package.

## weka 3.7.10 win64

SFPriorEntropy Returns the total entropy for the null model. Calculate the false 3.7.1 rate with respect to a particular class.

Gets the percentage of instances incorrectly classified that is, for which an incorrect prediction was made.

This is defined as incorrectly classified negatives total negatives. Get Started with Astyanax, the Cassandra java library by Netflix.

Outputs the performance statistics in summary form. If no test file is provided, no evaluation is done. Gets the average size of the predicted regions, relative to the range of the target 33.7.10 the training data, at the confidence level specified when evaluation was performed.

There are two versions of Weka: