Lushtak 2004

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   30  0.6348  0.0039  0.0527  0.2223  0.2834  0.25
Anderszewski 2003   63  0.5063  0.0021  0.0734  0.1820  0.3432  0.25
Ashkenazy 1981   8  0.7430  0.0011  0.0812  0.488  0.5012  0.49
Bacha 2000   70  0.4664  0.0075  0.0376  0.0333  0.2163  0.08
Badura 1965   46  0.5683  0.0045  0.0643  0.1117  0.4136  0.21
Barbosa 1983   23  0.6527  0.0024  0.0721  0.356  0.5117  0.42
Biret 1990   28  0.637  0.0210  0.0717  0.407  0.4616  0.43
Blet 2003   7  0.7443  0.0012  0.0810  0.513  0.548  0.52
Block 1995   79  0.3760  0.0079  0.0282  0.0266  0.0486  0.03
Blumental 1952   72  0.4439  0.0060  0.0457  0.0433  0.1469  0.07
Boshniakovich 1969   37  0.6011  0.0255  0.0368  0.0325  0.2660  0.09
Brailowsky 1960   50  0.5466  0.0069  0.0378  0.0364  0.0483  0.03
Bunin 1987   2  0.7814  0.023  0.153  0.603  0.583  0.59
Bunin 1987b   3  0.7818  0.014  0.154  0.603  0.582  0.59
Chiu 1999   39  0.5931  0.0056  0.0466  0.0426  0.3149  0.11
Cohen 1997   77  0.4144  0.0078  0.0284  0.0216  0.3761  0.09
Cortot 1951   40  0.5891  0.0047  0.0647  0.0622  0.3446  0.14
Csalog 1996   73  0.4324  0.0167  0.0370  0.0323  0.3653  0.10
Czerny 1949   49  0.5565  0.0050  0.0551  0.0530  0.2651  0.11
Czerny 1990   38  0.5976  0.0042  0.0536  0.1637  0.1942  0.17
Duchoud 2007   22  0.6510  0.028  0.0915  0.449  0.4715  0.45
Ezaki 2006   4  0.785  0.042  0.132  0.604  0.564  0.58
Falvay 1989   17  0.6855  0.0030  0.0825  0.2526  0.2630  0.25
Farrell 1958   43  0.5732  0.0062  0.0371  0.0317  0.2757  0.09
Ferenczy 1958   26  0.6468  0.0048  0.0650  0.0610  0.4543  0.16
Fliere 1977   14  0.6934  0.0023  0.0718  0.3722  0.2824  0.32
Fou 1978   16  0.684  0.0427  0.0626  0.2531  0.3226  0.28
Francois 1956   52  0.5453  0.0038  0.0535  0.1730  0.1941  0.18
Friedman 1923   88  0.2050  0.0086  0.0283  0.0244  0.1276  0.05
Friedman 1923b   87  0.2129  0.0085  0.0286  0.0244  0.1375  0.05
Friedman 1930   75  0.4235  0.0054  0.0463  0.0423  0.3548  0.12
Garcia 2007   74  0.4284  0.0076  0.0285  0.0230  0.2568  0.07
Garcia 2007b   83  0.2879  0.0087  0.0380  0.0354  0.0489  0.03
Gierzod 1998   33  0.6228  0.0037  0.0437  0.1617  0.2637  0.20
Gornostaeva 1994   60  0.5142  0.0072  0.0462  0.0459  0.0480  0.04
Groot 1988   35  0.6151  0.0033  0.0642  0.1246  0.0667  0.08
Harasiewicz 1955   27  0.6433  0.0020  0.0813  0.463  0.4614  0.46
Hatto 1993   65  0.4977  0.0035  0.0539  0.1416  0.3635  0.22
Hatto 1997   41  0.588  0.0218  0.0823  0.358  0.5118  0.42
Horowitz 1949   66  0.4957  0.0073  0.0460  0.0447  0.0674  0.05
Indjic 1988   55  0.5380  0.0026  0.0630  0.2014  0.4027  0.28
Kapell 1951   20  0.6621  0.0122  0.0720  0.3512  0.4720  0.41
Kissin 1993   32  0.6219  0.0157  0.0465  0.0442  0.1765  0.08
Kushner 1989   57  0.5238  0.0052  0.0553  0.0554  0.0478  0.04
Luisada 1991   47  0.5686  0.0043  0.0545  0.0944  0.1252  0.10
Lushtak 2004   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Malcuzynski 1961   29  0.6320  0.0149  0.0649  0.0644  0.1064  0.08
Magaloff 1978   42  0.583  0.0517  0.0828  0.2137  0.1738  0.19
Magin 1975   71  0.4569  0.0077  0.0374  0.0350  0.0577  0.04
Michalowski 1933   78  0.4061  0.0061  0.0454  0.0428  0.3250  0.11
Milkina 1970   61  0.5045  0.0074  0.0458  0.0455  0.0579  0.04
Mohovich 1999   13  0.6912  0.0219  0.0914  0.447  0.5213  0.48
Moravec 1969   76  0.4270  0.0080  0.0377  0.0366  0.0482  0.03
Morozova 2008   24  0.6546  0.0036  0.0440  0.1413  0.2639  0.19
Neighaus 1950   6  0.746  0.0415  0.098  0.519  0.529  0.51
Niedzielski 1931   85  0.2787  0.0082  0.0288  0.0251  0.0484  0.03
Ohlsson 1999   11  0.7022  0.019  0.077  0.525  0.557  0.53
Osinska 1989   51  0.5426  0.0053  0.0464  0.0430  0.2255  0.09
Pachmann 1927   45  0.579  0.0228  0.0632  0.1916  0.4725  0.30
Paderewski 1930   44  0.5717  0.0158  0.0461  0.0410  0.3947  0.12
Perlemuter 1992   18  0.6781  0.0032  0.0624  0.3015  0.4023  0.35
Pierdomenico 2008   58  0.5185  0.0064  0.0459  0.0443  0.1071  0.06
Poblocka 1999   10  0.7113  0.026  0.086  0.543  0.585  0.56
Rabcewiczowa 1932   67  0.4974  0.0063  0.0456  0.0430  0.2256  0.09
Rachmaninoff 1923   54  0.5388  0.0051  0.0746  0.0723  0.2844  0.14
Rangell 2001   68  0.4823  0.0168  0.0375  0.0320  0.2662  0.09
Richter 1976   34  0.6275  0.0044  0.0541  0.135  0.4831  0.25
Rosen 1989   53  0.5358  0.0071  0.0373  0.0359  0.0487  0.03
Rosenthal 1930   69  0.4689  0.0065  0.0455  0.0433  0.2454  0.10
Rosenthal 1931   80  0.3678  0.0083  0.0281  0.0256  0.0485  0.03
Rosenthal 1931b   82  0.3462  0.0084  0.0369  0.0351  0.0581  0.04
Rosenthal 1931c   62  0.5047  0.0066  0.0372  0.0339  0.1472  0.06
Rosenthal 1931d   81  0.3571  0.0034  0.0544  0.0945  0.0866  0.08
Rossi 2007   84  0.2749  0.0081  0.0379  0.0339  0.1170  0.06
Rubinstein 1939   86  0.2472  0.0088  0.0289  0.0244  0.1273  0.05
Rubinstein 1952   64  0.502  0.0629  0.0738  0.1531  0.2240  0.18
Rubinstein 1966   56  0.5254  0.0070  0.0467  0.0433  0.2158  0.09
Schilhawsky 1960   12  0.7040  0.005  0.1411  0.495  0.5110  0.50
Shebanova 2002   36  0.6015  0.0159  0.0552  0.0538  0.1559  0.09
Smith 1975   9  0.7236  0.007  0.105  0.563  0.4311  0.49
Sokolov 2002   15  0.6967  0.0013  0.1116  0.4118  0.4119  0.41
Sztompka 1959   21  0.6659  0.0046  0.0648  0.0629  0.3345  0.14
Tomsic 1995   5  0.7525  0.0016  0.109  0.513  0.586  0.54
Uninsky 1932   48  0.5656  0.0040  0.0533  0.1925  0.3433  0.25
Uninsky 1971   31  0.6316  0.0114  0.1019  0.3619  0.4222  0.39
Wasowski 1980   59  0.5137  0.0041  0.0631  0.1915  0.3229  0.25
Zak 1937   25  0.6541  0.0031  0.0629  0.2116  0.3528  0.27
Zak 1951   19  0.6752  0.0025  0.0822  0.3510  0.4821  0.41
Average   1  0.791  0.471  0.471  0.725  0.581  0.65
Random 1   90  -0.1082  0.0091  0.0191  0.0168  0.0391  0.02
Random 2   91  -0.2190  0.0090  0.0190  0.0167  0.0390  0.02
Random 3   89  0.0973  0.0089  0.0287  0.0256  0.0488  0.03

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).