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 | |
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 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 |