Table 1 Feature correlation matrix.

From: Gaussian mixture model for enhancing the quality of transmission estimation in optical networks: a machine learning approach

Feature

\(f_1\)

\(f_2\)

\(f_3\)

\(f_4\)

\(y_1\)

\(\gamma\)

\(f_1\)

1.0000

-0.0221

-0.0042

0.0348

0.5812

-0.6146

\(f_2\)

-0.0221

1.0000

-0.4709

-0.0058

-0.0127

0.0223

\(f_3\)

-0.0042

-0.4709

1.0000

0.0065

-0.0027

-0.0096

\(f_4\)

0.0348

-0.0058

0.0065

1.0000

0.7059

-0.6597

\(y_1\)

0.5812

-0.0127

-0.0027

0.7059

1.0000

-0.9387

\(\gamma\)

-0.6146

0.0223

-0.0096

-0.6597

-0.9387

1.0000