原文：

Abalone Data Set

Predict the age of abalone from physical measurements

Data Set Information:

Predicting the age of abalone from physical measurements. The age of abalone is determined by cutting the shell through the cone, staining it, and counting the number of rings through a microscope -- a boring and time-consuming task. Other measurements, which are easier to obtain, are used to predict the age. Further information, such as weather patterns and location (hence food availability) may be required to solve the problem.

From the original data examples with missing values were removed (the majority having the predicted value missing), and the ranges of the continuous values have been scaled for use with an ANN (by dividing by 200).

Attribute Information:

Given is the attribute name, attribute type, the measurement unit and a brief description. The number of rings is the value to predict: either as a continuous value or as a classification problem.

Name / Data Type / Measurement Unit / Description

-----------------------------

Sex / nominal / -- / M, F, and I (infant)

Length / continuous / mm / Longest shell measurement

Diameter / continuous / mm / perpendicular to length

Height / continuous / mm / with meat in shell

Whole weight / continuous / grams / whole abalone

Shucked weight / continuous / grams / weight of meat

Viscera weight / continuous / grams / gut weight (after bleeding)

Shell weight / continuous / grams / after being dried

Rings / integer / -- / +1.5 gives the age in years

The readme file contains attribute statistics.

譯：

鮑魚數據集

通過物理測量預測鮑魚的年齡

據集信息：

通過物理測量預測鮑魚的年齡。鮑魚的年齡是通過將殼切開，染色，并通過顯微鏡計數環的數量來確定的——這是一項既枯燥又耗時的任務。其他更容易獲得的測量值用于預測年齡。可能需要進一步的信息，如天氣模式和位置（因此食物可用性）來解決問題。

從原始數據中，刪除了缺失值的示例（大多數具有缺失的預測值），并縮放了連續值的范圍，以便與ANN一起使用（除以200）。

屬性信息：

給出了屬性名稱、屬性類型、測量單位和簡要說明。環的數量是要預測的值：要么作為連續值，要么作為分類問題。

名稱/數據類型/測量單位/說明

-----------------------------

性別/標稱/--/M、F和I（嬰兒）

長度/連續/毫米/最長外殼測量

直徑/連續/毫米/垂直于長度

高度/連續/毫米/帶殼肉

全重/連續/克/整條鮑魚

去皮重量/連續/克/肉重量

內臟重量/連續/克/腸道重量（出血后）

殼重/連續/克/干燥后

Rings/integer/--/+1.5給出了以年為單位的年齡

自述文件包含屬性統計信息。

數據示例：

M,0.455,0.365,0.095,0.514,0.2245,0.101,0.15,15 M,0.35,0.265,0.09,0.2255,0.0995,0.0485,0.07,7 F,0.53,0.42,0.135,0.677,0.2565,0.1415,0.21,9 M,0.44,0.365,0.125,0.516,0.2155,0.114,0.155,10 I,0.33,0.255,0.08,0.205,0.0895,0.0395,0.055,7 I,0.425,0.3,0.095,0.3515,0.141,0.0775,0.12,8 F,0.53,0.415,0.15,0.7775,0.237,0.1415,0.33,20 F,0.545,0.425,0.125,0.768,0.294,0.1495,0.26,16 M,0.475,0.37,0.125,0.5095,0.2165,0.1125,0.165,9 F,0.55,0.44,0.15,0.8945,0.3145,0.151,0.32,19 F,0.525,0.38,0.14,0.6065,0.194,0.1475,0.21,14 M,0.43,0.35,0.11,0.406,0.1675,0.081,0.135,10 M,0.49,0.38,0.135,0.5415,0.2175,0.095,0.19,11 F,0.535,0.405,0.145,0.6845,0.2725,0.171,0.205,10 F,0.47,0.355,0.1,0.4755,0.1675,0.0805,0.185,10 M,0.5,0.4,0.13,0.6645,0.258,0.133,0.24,12 I,0.355,0.28,0.085,0.2905,0.095,0.0395,0.115,7 F,0.44,0.34,0.1,0.451,0.188,0.087,0.13,10 M,0.365,0.295,0.08,0.2555,0.097,0.043,0.1,7 M,0.45,0.32,0.1,0.381,0.1705,0.075,0.115,9 M,0.355,0.28,0.095,0.2455,0.0955,0.062,0.075,11 I,0.38,0.275,0.1,0.2255,0.08,0.049,0.085,10 F,0.565,0.44,0.155,0.9395,0.4275,0.214,0.27,12 F,0.55,0.415,0.135,0.7635,0.318,0.21,0.2,9 F,0.615,0.48,0.165,1.1615,0.513,0.301,0.305,10 F,0.56,0.44,0.14,0.9285,0.3825,0.188,0.3,11 F,0.58,0.45,0.185,0.9955,0.3945,0.272,0.285,11 M,0.59,0.445,0.14,0.931,0.356,0.234,0.28,12 M,0.605,0.475,0.18,0.9365,0.394,0.219,0.295,15 M,0.575,0.425,0.14,0.8635,0.393,0.227,0.2,11

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