| Key | Value |
|---|---|
| FileName | ./usr/bin/weka |
| FileSize | 327 |
| MD5 | B164D772F536CAECDB18D028305F704C |
| SHA-1 | 0AFE65E640ED14BEF1C2C65391E9715EDA428C1F |
| SHA-256 | A3980CBEEA56E30508D7B6B7C76E95F99B765D30DEE6BCFDFE033A7FE176CBE2 |
| SSDEEP | 6:WoaIcCvexzAt2WARAzAY2i6WARAzA96rARAzA6ASzAOQZ6zATGFjKVQcbtYc5tiT:NcCvkzaGRAzX2iiRAzqDRAz9zTzPjKVk |
| TLSH | T1BDE08CD471101328E4BF8670FF8204983480A0ECCB8DECAA90E1208E6F6156204E9B22 |
| hashlookup:parent-total | 3 |
| hashlookup:trust | 65 |
The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| MD5 | B0B8078CF91886F15A4FD2A864DDF6D0 |
| PackageArch | noarch |
| PackageDescription | Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. |
| PackageMaintainer | Fedora Project |
| PackageName | weka |
| PackageRelease | 6.fc17 |
| PackageVersion | 3.6.2 |
| SHA-1 | 945084EDECE549D5B2BC9905FACC0696B3ADB996 |
| SHA-256 | 087F40D6561091568F86907F113C66AEA8FB6D63C1FDAFCFC6F96064AE11F95F |
| Key | Value |
|---|---|
| MD5 | 4E2BDC224F3433875E1FF532F0DA5B64 |
| PackageArch | noarch |
| PackageDescription | Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. |
| PackageMaintainer | Fedora Project |
| PackageName | weka |
| PackageRelease | 6.fc17 |
| PackageVersion | 3.6.2 |
| SHA-1 | 631940E30BD74D2B59E3A9B74AAABB795A896805 |
| SHA-256 | CC13AC6831C8F5B22471187D55529EBDDD2A56CD465BBBA070FA9EB0EB7FA0F1 |
| Key | Value |
|---|---|
| MD5 | 6CC4BB080A104D66E2BD639683C06D63 |
| PackageArch | noarch |
| PackageDescription | Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. |
| PackageMaintainer | Fedora Project |
| PackageName | weka |
| PackageRelease | 6.fc17 |
| PackageVersion | 3.6.2 |
| SHA-1 | 1E29FADF4F5D8F231B0A3A4B67F1025E40B3D15B |
| SHA-256 | 2904DDA4EF487E5F2E7BCA470D978EAE0E90DEA812ADE60D3BB368A43EC0BCDC |