(Cox, 1962;Hansen, 1970). The boring yellow sponge,Clionasp., grows on the shells and secretes an acid, creating pits. Using a large dataset (n=786) quantifying infestation byClionaand abalone growth, Morejohn was able to show that heavily infected abalone were always the largest individuals...
Abalone Dataset Abalone Dataset评分: 通过物理测量预测鲍鱼的年龄。鲍鱼的年龄是通过将鲍鱼的壳从蛋卷中切开,然后在蛋卷上涂上颜色,再通过显微镜来计算鱼圈的数量来确定的——这是一项既枯燥又耗时的工作。其他更容易获得的测量方法也被用来预测年龄。为了解决这个问题,可能需要更多的信息,例如天气模式和位置(因此食物...
Abalone age prediction is a multi-class classification problem using the Abalone dataset from UCI machine learning repository. Extreme Learning Machine (ELM) is one of the randomization algorithm which uses the idea of least square estimation. In this paper, a comparative study of the performance ...
Abalone Data Set 鲍鱼数据集鲍鱼数据集 数据摘要 数据摘要 Predict the age of abalone from physical measurements 中文关键词 中文关键词 机器学习 多变量 分类 UCI 英文关键词 英文关键词 Machine Learning MultiVarite Classification UCI 数据格式 数据格式 TEXT 数据用途 数据用途 Classification 数据详细介绍 数据详...
We will be looking at a dataset from the UCI machine learning repository called the Abalone Data Set. It can be found here: https://archive.ics.uci.edu/ml/datasets/abalone. Each data point contains multiple physical characteristics of a single abalone, and the goal is to develop a model ...
This data is derived from Datamyne, using US import and export trade data released by the US Census Bureau in the Merchandise Trade dataset. See company shipment details for HS Code 1605.57 when you subscribe to Datamyne. How Datamyne Benefits You Datamyne covers the trade of some 50 countries...
About Dataset Abalone Data set … 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...