Result for 47EF08C35F7A96EAD4A29F29021820D8425BFB43

Query result

Key Value
FileName./usr/lib64/R/library/titanic/Meta/Rd.rds
FileSize396
MD57BB8864C999FCFBBED7BCFC7BB24AA5B
SHA-147EF08C35F7A96EAD4A29F29021820D8425BFB43
SHA-25675691794DD6D586A3BAA9ADDB1EFE9DD5DC4FE14CEB0E2BFB3B4EE5DEC01B04F
SSDEEP6:Xtq5lyND/4X4mKaGxXDcUK5PMiSrtXon0eWINvrfPa/Ca/+hOIOYbvA4btn:X07yFA4aGxm5PMrp4cMrfS/CKXiU6
TLSHT184E0F18190CB2321C578303514A3493491BE42059A21FB7CA913025D791B5FC5958151
hashlookup:parent-total4
hashlookup:trust70

Network graph view

Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD542483F4C8306236D50E21654DCE6FC47
PackageArchx86_64
PackageDescriptionThis data set provides information on the fate of passengers on the fatal maiden voyage of the ocean liner "Titanic", summarized according to economic status (class), sex, age and survival. Whereas the base R Titanic data found by calling data("Titanic") is an array resulting from cross-tabulating 2201 observations, these data sets are the individual non-aggregated observations and formatted in a machine learning context with a training sample, a testing sample, and two additional data sets that can be used for deeper machine learning analysis. These data sets are also the data sets downloaded from the Kaggle competition and thus lowers the barrier to entry for users new to R or machine learing.
PackageNameR-titanic
PackageRelease2.23
PackageVersion0.1.0
SHA-153C90BC2ABE0D307692ACE32BF72C5B9E4AD8F54
SHA-256F20864773D70A2AAE574E47614529CA1999E80D1EAF7379E55A8F3DD98F6B38B
Key Value
MD51C18131F8D94030A44C7CDA0263944FE
PackageArchx86_64
PackageDescriptionThis data set provides information on the fate of passengers on the fatal maiden voyage of the ocean liner "Titanic", summarized according to economic status (class), sex, age and survival. Whereas the base R Titanic data found by calling data("Titanic") is an array resulting from cross-tabulating 2201 observations, these data sets are the individual non-aggregated observations and formatted in a machine learning context with a training sample, a testing sample, and two additional data sets that can be used for deeper machine learning analysis. These data sets are also the data sets downloaded from the Kaggle competition and thus lowers the barrier to entry for users new to R or machine learing.
PackageNameR-titanic
PackageReleaselp153.2.3
PackageVersion0.1.0
SHA-1A77A9BED2E94667626A8E9552B6B838B939871BA
SHA-256F6A4D0747F0FE05D89093B92EEE75E25465215E68E35653944A9259F6B720BE6
Key Value
MD5587572F5970E31C9F629B57F5066678B
PackageArchx86_64
PackageDescriptionThis data set provides information on the fate of passengers on the fatal maiden voyage of the ocean liner "Titanic", summarized according to economic status (class), sex, age and survival. Whereas the base R Titanic data found by calling data("Titanic") is an array resulting from cross-tabulating 2201 observations, these data sets are the individual non-aggregated observations and formatted in a machine learning context with a training sample, a testing sample, and two additional data sets that can be used for deeper machine learning analysis. These data sets are also the data sets downloaded from the Kaggle competition and thus lowers the barrier to entry for users new to R or machine learing.
PackageMaintainerhttps://www.suse.com/
PackageNameR-titanic
PackageReleaselp154.2.1
PackageVersion0.1.0
SHA-1A48B29D218E67185042BE94DE8E125E3466E1CB1
SHA-256359C26A4BD3AF185CDA338759609FD57D28D5346466EF4A89F467571D32CCC48
Key Value
MD5A3EAC824758AE40DA4C2615AA1B98B4D
PackageArchx86_64
PackageDescriptionThis data set provides information on the fate of passengers on the fatal maiden voyage of the ocean liner "Titanic", summarized according to economic status (class), sex, age and survival. Whereas the base R Titanic data found by calling data("Titanic") is an array resulting from cross-tabulating 2201 observations, these data sets are the individual non-aggregated observations and formatted in a machine learning context with a training sample, a testing sample, and two additional data sets that can be used for deeper machine learning analysis. These data sets are also the data sets downloaded from the Kaggle competition and thus lowers the barrier to entry for users new to R or machine learing.
PackageNameR-titanic
PackageReleaselp152.2.6
PackageVersion0.1.0
SHA-17ED45B0252BF59DE742B1A1E93EE4BDBE0710FB7
SHA-256484EBB85E1BE2B2C3B49E2C867F64965BBF4393E08B243B9B37929FCE9DC1274