Wine recognition dataset

相關問題 & 資訊整理

Wine recognition dataset

Wine recognition dataset from UC Irvine. Great for testing out different classifiers. Labels: "name" - Number denoting a specific wine class.,The wine dataset is a classic and very easy multi-class classification dataset. Classes. 3. Samples per class. [59,71,48]. ,Explore and run machine learning code with Kaggle Notebooks | Using data from ... Show your appreciation with an upvote ... Wine class labels in first column. , These data are the results of a chemical analysis of wines grown in the same region in Italy but derived from three different cultivars.,However, the wine data set is too sparse for context-dependent method: only 178 ... 2 Wine Recognition 178 14 3 Table 1: The datasets used in the experiments. ,The Wine dataset for classification. Samples, 178. Features, 13. Classes, 3. Data Set Characteristics: Multivariate. , Wine Dataset. wine.csv. Wine,Alcohol,Malic.acid,Ash,Acl,Mg,Phenols,Flavanoids,Nonflavanoid.phenols,Proanth,Color.int,Hue,OD,Proline., I understand that no need to use keras for this wine recognition. Scikit-learn is better, easy and good result. This is just less than 200 dataset.,The wine dataset contains the results of a chemical analysis of wines grown in a specific area of Italy. Three types of wine are represented in the 178 samples, ...

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

Wine recognition dataset 相關參考資料
Classifying wine varieties | Kaggle

Wine recognition dataset from UC Irvine. Great for testing out different classifiers. Labels: "name" - Number denoting a specific wine class.

https://www.kaggle.com

sklearn.datasets.load_wine — scikit-learn 0.23.1 documentation

The wine dataset is a classic and very easy multi-class classification dataset. Classes. 3. Samples per class. [59,71,48].

http://scikit-learn.org

Wine Classification | Kaggle

Explore and run machine learning code with Kaggle Notebooks | Using data from ... Show your appreciation with an upvote ... Wine class labels in first column.

https://www.kaggle.com

Wine Data Set - UCI Machine Learning Repository

These data are the results of a chemical analysis of wines grown in the same region in Italy but derived from three different cultivars.

https://archive.ics.uci.edu

Wine Data Set: Support - UCI Machine Learning Repository

However, the wine data set is too sparse for context-dependent method: only 178 ... 2 Wine Recognition 178 14 3 Table 1: The datasets used in the experiments.

https://archive.ics.uci.edu

Wine Dataset - mlxtend

The Wine dataset for classification. Samples, 178. Features, 13. Classes, 3. Data Set Characteristics: Multivariate.

http://rasbt.github.io

Wine Dataset · GitHub

Wine Dataset. wine.csv. Wine,Alcohol,Malic.acid,Ash,Acl,Mg,Phenols,Flavanoids,Nonflavanoid.phenols,Proanth,Color.int,Hue,OD,Proline.

https://gist.github.com

Wine recognition dataset (tf.keras) ワイン分類 – Hiro Go ...

I understand that no need to use keras for this wine recognition. Scikit-learn is better, easy and good result. This is just less than 200 dataset.

https://hirogosomewhere.com

wine: The wine dataset from the UCI Machine Learning ...

The wine dataset contains the results of a chemical analysis of wines grown in a specific area of Italy. Three types of wine are represented in the 178 samples, ...

https://rdrr.io