car data uci

1) 1985 Model Import Car and Truck Specifications, 1985 Ward's Automotive Yearbook. 2) Personal Auto Manuals, Insura...

car data uci

1) 1985 Model Import Car and Truck Specifications, 1985 Ward's Automotive Yearbook. 2) Personal Auto Manuals, Insurance Services Office, 160 Water Street, ... , 1. Marko Bohanec (marko.bohanec '@' ijs.si) 2. Blaz Zupan (blaz.zupan '@' ijs.si). Data Set Information: Car Evaluation Database was derived ...

相關軟體 Weka (64-bit) 資訊

Weka (64-bit)
Weka 64 位(懷卡托知識分析環境)是用 Java 編寫的流行的機器學習軟件套件。 Weka 是用於數據挖掘任務的機器學習算法的集合。算法可以直接應用於數據集,也可以從您自己的 Java 代碼中調用。 Weka 包含數據預處理,分類,回歸,聚類,關聯規則和可視化的工具。它也非常適合開發新的機器學習方案。 Weka 64 位是 GNU 通用公共許可證下的開源軟件. 注意:需要 Java Runt... Weka (64-bit) 軟體介紹

car data uci 相關參考資料
Auto MPG Data Set - UCI Machine Learning Repository

The original dataset is available in the file "auto-mpg.data-original". "The data concerns city-cycle fuel consumption in miles per gallon, to be predicted in terms ...

https://archive.ics.uci.edu

Automobile Data Set - UCI Machine Learning Repository

1) 1985 Model Import Car and Truck Specifications, 1985 Ward's Automotive Yearbook. 2) Personal Auto Manuals, Insurance Services Office, 160 Water Street, ...

https://archive.ics.uci.edu

Car Evaluation Data Set - UCI Machine Learning Repository

1. Marko Bohanec (marko.bohanec '@' ijs.si) 2. Blaz Zupan (blaz.zupan '@' ijs.si). Data Set Information: Car Evaluation Database was derived ...

https://archive.ics.uci.edu

Car Evaluation Data Set ... - UCI Machine Learning Repository

Below are papers that cite this data set, with context shown. ... Data Sets iris car breast cancer voting auto annealing n 4 6 9 16 25 38 M 5.3 2.1 1.7 0.831.5 ...

https://archive.ics.uci.edu

Index of mlmachine-learning-databasescar - UCI Machine ...

Index of /ml/machine-learning-databases/car. Parent Directory · car.c45-names · car.data · car.names. Apache/2.4.6 (CentOS) OpenSSL/1.0.2k-fips SVN/1.7.14 ...

https://archive.ics.uci.edu

Statlog (Vehicle Silhouettes) Data Set - UCI Machine Learning ...

Data Set Information: The purpose is to classify a given silhouette as one of four types of vehicle, using a set of features extracted from the silhouette. The vehicle ...

https://archive.ics.uci.edu