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Table 2 Correlation coefficients between variables in ‘wine quality_red’ data set

From: Empirical study of seven data mining algorithms on different characteristics of datasets for biomedical classification applications

  Fixed.acidity Volatile.acidity Citric.acid Residual.sugar Chlorides Free.sulfur.dioxide Total.sulfur.dioxide Density pH Sulphates Alcohol Quality
Fixed.acidity 1
Volatile.acidity − 0.2561 1
Citric.acid 0.6717 − 0.5525 1
Residual.sugar 0.1148 0.0019 0.1436 1
Chlorides 0.0937 0.0613 0.2038 0.0556 1
Free.sulfur.dioxide − 0.1538 − 0.0105 − 0.061 0.187 0.0056 1
Total.sulfur.dioxide − 0.1132 0.0765 0.0355 0.203 0.0474 0.6677 1
Density 0.668 0.022 0.3649 0.3553 0.2006 − 0.0219 0.0713 1
pH − 0.683 0.2349 − 0.5419 − 0.0857 − 0.265 0.0704 − 0.0665 − 0.3417 1
Sulphates 0.183 − 0.261 0.9128 0.0055 0.3713 − 0.0517 0.0429 0.1485 − 0.1966 1
Alcohol − 0.0617 − 0.2023 0.1099 0.0421 − 0.2211 − 0.0694 − 0.2057 − 0.4962 0.2056 0.0936 1
Quality 0.1241 − 0.3906 0.2264 0.0137 − 0.1289 − 0.0507 − 0.1851 − 0.1749 − 0.0577 0.2514 0.4762 1