Neighaus 1950

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   29  0.425  0.056  0.1512  0.506  0.6314  0.56
Anderszewski 2003   75  0.2580  0.0065  0.0565  0.0529  0.3156  0.12
Ashkenazy 1981   53  0.3636  0.0063  0.0556  0.0558  0.0678  0.05
Bacha 2000   77  0.2438  0.0075  0.0381  0.0364  0.0580  0.04
Badura 1965   87  0.1285  0.0087  0.0284  0.0260  0.0487  0.03
Barbosa 1983   48  0.3863  0.0043  0.0642  0.1314  0.5440  0.26
Biret 1990   35  0.4226  0.0024  0.0834  0.2810  0.6528  0.43
Blet 2003   7  0.4917  0.017  0.139  0.532  0.724  0.62
Block 1995   16  0.4521  0.0130  0.1320  0.4018  0.5621  0.47
Blumental 1952   86  0.1546  0.0086  0.0380  0.0373  0.0488  0.03
Boshniakovich 1969   6  0.4918  0.0111  0.135  0.559  0.657  0.60
Brailowsky 1960   63  0.3140  0.0064  0.0467  0.0426  0.4654  0.14
Bunin 1987   76  0.2586  0.0082  0.0382  0.0365  0.0585  0.04
Bunin 1987b   74  0.2564  0.0083  0.0468  0.0463  0.0582  0.04
Chiu 1999   20  0.4541  0.0020  0.0916  0.4424  0.4822  0.46
Cohen 1997   30  0.4224  0.0027  0.0829  0.319  0.5927  0.43
Cortot 1951   27  0.4316  0.0115  0.1015  0.447  0.6615  0.54
Csalog 1996   46  0.3869  0.0057  0.0563  0.0520  0.4452  0.15
Czerny 1949   58  0.3245  0.0053  0.0851  0.0824  0.6443  0.23
Czerny 1990   81  0.2155  0.0085  0.0473  0.0451  0.0779  0.05
Duchoud 2007   17  0.4543  0.0019  0.0825  0.3514  0.5326  0.43
Ezaki 2006   22  0.4430  0.0017  0.0814  0.456  0.7310  0.57
Falvay 1989   72  0.2765  0.0069  0.0471  0.0449  0.0675  0.05
Farrell 1958   54  0.3581  0.0045  0.0654  0.067  0.5649  0.18
Ferenczy 1958   85  0.1673  0.0084  0.0379  0.0336  0.5257  0.12
Fliere 1977   14  0.4653  0.0029  0.1118  0.4233  0.4824  0.45
Fou 1978   57  0.3219  0.0160  0.0564  0.0549  0.0576  0.05
Francois 1956   33  0.4276  0.0036  0.1126  0.339  0.7318  0.49
Friedman 1923   28  0.4332  0.0022  0.0831  0.3021  0.5532  0.41
Friedman 1923b   25  0.4444  0.0021  0.0727  0.3326  0.5331  0.42
Friedman 1930   32  0.4249  0.0040  0.0639  0.1733  0.4438  0.27
Garcia 2007   49  0.3727  0.0041  0.0645  0.1122  0.4345  0.22
Garcia 2007b   70  0.2882  0.0078  0.0286  0.0253  0.0689  0.03
Gierzod 1998   79  0.2387  0.0072  0.0566  0.0539  0.2060  0.10
Gornostaeva 1994   11  0.4774  0.0025  0.0722  0.3612  0.6519  0.48
Groot 1988   10  0.4814  0.019  0.1010  0.5215  0.5316  0.52
Harasiewicz 1955   4  0.543  0.083  0.252  0.752  0.742  0.74
Hatto 1993   19  0.4556  0.0023  0.0733  0.2830  0.3137  0.29
Hatto 1997   38  0.4112  0.0142  0.0640  0.1621  0.3641  0.24
Horowitz 1949   56  0.3560  0.0066  0.0470  0.0447  0.0873  0.06
Indjic 1988   39  0.4066  0.0044  0.0643  0.1238  0.2251  0.16
Kapell 1951   64  0.3054  0.0070  0.0559  0.0557  0.0677  0.05
Kissin 1993   71  0.2750  0.0067  0.0474  0.0445  0.1074  0.06
Kushner 1989   65  0.3088  0.0074  0.0476  0.0465  0.0481  0.04
Luisada 1991   42  0.4034  0.0050  0.0948  0.0933  0.2950  0.16
Lushtak 2004   66  0.3048  0.0068  0.0469  0.0424  0.2661  0.10
Malcuzynski 1961   67  0.2970  0.0073  0.0475  0.0460  0.0583  0.04
Magaloff 1978   13  0.4651  0.0028  0.0921  0.3816  0.5523  0.46
Magin 1975   68  0.2933  0.0055  0.0558  0.0542  0.1864  0.09
Michalowski 1933   50  0.3759  0.0058  0.0655  0.0639  0.2555  0.12
Milkina 1970   60  0.3211  0.0133  0.0832  0.2911  0.6229  0.42
Mohovich 1999   15  0.4613  0.0112  0.144  0.555  0.695  0.62
Moravec 1969   55  0.3529  0.0034  0.0936  0.2312  0.5234  0.35
Morozova 2008   44  0.3915  0.0132  0.0828  0.3216  0.4533  0.38
Neighaus 1950   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Niedzielski 1931   59  0.3272  0.0059  0.0561  0.0546  0.0772  0.06
Ohlsson 1999   2  0.562  0.192  0.258  0.5313  0.5913  0.56
Osinska 1989   3  0.547  0.034  0.203  0.627  0.763  0.69
Pachmann 1927   37  0.4142  0.0038  0.0641  0.1519  0.5536  0.29
Paderewski 1930   52  0.3677  0.0049  0.0947  0.0925  0.5046  0.21
Perlemuter 1992   41  0.4025  0.0048  0.1046  0.1025  0.5542  0.23
Pierdomenico 2008   31  0.4223  0.0051  0.0852  0.0819  0.4647  0.19
Poblocka 1999   61  0.3258  0.0056  0.0560  0.0535  0.2658  0.11
Rabcewiczowa 1932   21  0.4510  0.0226  0.0717  0.439  0.7412  0.56
Rachmaninoff 1923   69  0.2883  0.0071  0.0653  0.0644  0.1363  0.09
Rangell 2001   18  0.459  0.0210  0.1213  0.491  0.689  0.58
Richter 1976   45  0.3822  0.0154  0.0557  0.0545  0.1070  0.07
Rosen 1989   1  0.581  0.311  0.311  0.751  0.811  0.78
Rosenthal 1930   62  0.3175  0.0062  0.0562  0.0539  0.2659  0.11
Rosenthal 1931   84  0.1667  0.0080  0.0378  0.0339  0.2765  0.09
Rosenthal 1931b   80  0.2268  0.0079  0.0283  0.0236  0.3668  0.08
Rosenthal 1931c   47  0.3828  0.0046  0.0850  0.089  0.6544  0.23
Rosenthal 1931d   83  0.2189  0.0081  0.0377  0.0337  0.2667  0.09
Rossi 2007   82  0.2178  0.0076  0.0287  0.0213  0.4562  0.09
Rubinstein 1939   73  0.2657  0.0061  0.0472  0.0438  0.1269  0.07
Rubinstein 1952   51  0.3731  0.0047  0.0849  0.0821  0.4748  0.19
Rubinstein 1966   36  0.4161  0.0031  0.0823  0.369  0.4830  0.42
Schilhawsky 1960   78  0.2371  0.0077  0.0288  0.0245  0.0784  0.04
Shebanova 2002   23  0.4452  0.0039  0.0637  0.1846  0.1253  0.15
Smith 1975   9  0.486  0.045  0.156  0.549  0.696  0.61
Sokolov 2002   8  0.498  0.0214  0.097  0.537  0.658  0.59
Sztompka 1959   40  0.4047  0.0037  0.0738  0.1833  0.3739  0.26
Tomsic 1995   26  0.4439  0.0018  0.0819  0.418  0.5520  0.47
Uninsky 1932   43  0.4035  0.0052  0.1144  0.1159  0.0571  0.07
Uninsky 1971   34  0.4262  0.0035  0.0935  0.2712  0.4435  0.34
Wasowski 1980   5  0.5020  0.018  0.1111  0.5213  0.6111  0.56
Zak 1937   12  0.464  0.0713  0.1124  0.357  0.6817  0.49
Zak 1951   24  0.4437  0.0016  0.0830  0.3010  0.6425  0.44
Random 1   88  0.0779  0.0088  0.0285  0.028  0.4566  0.09
Random 2   89  -0.0290  0.0089  0.0289  0.0268  0.0486  0.03
Random 3   90  -0.0584  0.0090  0.0190  0.0162  0.0390  0.02

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).