Result for 64389C556F3B011BBCA0E5E70A3E947091B4EB32

Query result

Key Value
FileName./usr/share/java/weka-3.6.14.jar
FileSize6761570
MD5CC00FDB3F9A52F8B5DB18C68B6E0FD31
SHA-164389C556F3B011BBCA0E5E70A3E947091B4EB32
SHA-256FCDC5315CB9054B396D2E1BAC7E007800B01B3D2221CCA6AFB065F6821E60B42
SSDEEP196608:WxGQeQWthqEo8LYl4apFrPhwwuJ4bv4Zf:WxGCWzYlLVuJS4V
TLSHT11F66023855916839D937753EAC255C233E2D00CCEC0EF1E536F4DE469A36A0EBFA6609
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize6627440
MD566104E721852F1E0161A50B89B207C28
PackageDescriptionMachine learning algorithms for data mining tasks Weka is a collection of machine learning algorithms in Java that can either be used from the command-line, or called from your own Java code. Weka is also ideally suited for developing new machine learning schemes. . Implemented schemes cover decision tree inducers, rule learners, model tree generators, support vector machines, locally weighted regression, instance-based learning, bagging, boosting, and stacking. Also included are clustering methods, and an association rule learner. Apart from actual learning schemes, Weka also contains a large variety of tools that can be used for pre-processing datasets. . This package contains the binaries and examples.
PackageMaintainerDebian Java Maintainers <pkg-java-maintainers@lists.alioth.debian.org>
PackageNameweka
PackageSectionscience
PackageVersion3.6.14-3
SHA-1413578EA72D0F2A5014C6B028565B5B5B69E7E30
SHA-25658EA5EC3B42CA9719BE5756D1BD64EBED0E69D16D6FFFA200B3CEBF4CCCCAB16