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Table 3 Results of class separability

From: Distance-based features in pattern classification

Dataset

Original

'+2D' (Euclidean)

'+2D' (chi-square 1)

'+2D' (chi-square 2)

'+2D' (Mahalanobis)

Abalone

2.5273

2.8020

3.1738

3.7065

N/A*

Balance Scale

2.0935

2.1123

2.1140

2.1368

2.8583

Tic-Tac-Toe Endgame

0.0664

1.1179

9.4688

12.8428

9.0126

German

0.3159

0.4273

0.3343

0.4196

1.6975

Hayes-Roth

1.6091

1.6979

1.7319

1.6982

2.7219

Ionosphere

1.6315

2.2597

2.7730

1.6441

N/A*

Iris

32.5495

48.2439

49.7429

53.8480

54.1035

Teaching assistant evaluation

0.3049

0.3447

0.3683

0.3798

0.6067

  1. *Covariance matrix is singular.
  2. The best result for each dataset is highlighted in italic.