Uninsky 1932

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   68  0.3173  0.0077  0.0465  0.0469  0.0476  0.04
Anderszewski 2003   80  0.2653  0.0073  0.0649  0.0656  0.0664  0.06
Ashkenazy 1981   7  0.4916  0.0014  0.1610  0.6711  0.647  0.65
Bacha 2000   69  0.3174  0.0044  0.0444  0.0926  0.2836  0.16
Badura 1965   60  0.3223  0.0034  0.0839  0.1432  0.2035  0.17
Barbosa 1983   21  0.406  0.0221  0.0918  0.5136  0.2321  0.34
Biret 1990   46  0.3467  0.0032  0.0933  0.2432  0.3724  0.30
Blet 2003   43  0.3571  0.0066  0.0383  0.0345  0.1067  0.05
Block 1995   29  0.3815  0.0138  0.0634  0.2240  0.1733  0.19
Blumental 1952   41  0.3514  0.0142  0.0643  0.1465  0.0558  0.08
Boshniakovich 1969   34  0.3630  0.0024  0.0923  0.4056  0.0639  0.15
Brailowsky 1960   75  0.2952  0.0078  0.0553  0.0551  0.0761  0.06
Bunin 1987   42  0.3535  0.0046  0.0648  0.0640  0.1649  0.10
Bunin 1987b   50  0.3460  0.0045  0.0445  0.0842  0.1845  0.12
Chiu 1999   35  0.3663  0.0052  0.0463  0.0465  0.0471  0.04
Cohen 1997   81  0.2591  0.0084  0.0467  0.0463  0.0480  0.04
Cortot 1951   72  0.3056  0.0076  0.0373  0.0332  0.2555  0.09
Csalog 1996   55  0.3344  0.0047  0.0461  0.0426  0.2648  0.10
Czerny 1949   58  0.3340  0.0064  0.0381  0.0339  0.2553  0.09
Czerny 1990   10  0.478  0.0110  0.206  0.7019  0.665  0.68
Duchoud 2007   79  0.2725  0.0075  0.0379  0.0354  0.0677  0.04
Ezaki 2006   54  0.3372  0.0061  0.0646  0.0678  0.0465  0.05
Falvay 1989   30  0.3784  0.0049  0.0468  0.0454  0.0572  0.04
Farrell 1958   73  0.2979  0.0070  0.0555  0.0553  0.0666  0.05
Ferenczy 1958   85  0.2036  0.0087  0.0288  0.0261  0.0583  0.03
Fliere 1977   3  0.5011  0.017  0.173  0.7216  0.548  0.62
Fou 1978   12  0.4633  0.0013  0.1512  0.6117  0.5212  0.56
Francois 1956   83  0.2289  0.0082  0.0380  0.0381  0.0390  0.03
Friedman 1923   48  0.3482  0.0053  0.0559  0.0534  0.2846  0.12
Friedman 1923b   38  0.3680  0.0041  0.0742  0.1428  0.4131  0.24
Friedman 1930   64  0.3148  0.0055  0.0557  0.0538  0.1551  0.09
Garcia 2007   67  0.3170  0.0071  0.0560  0.0549  0.0668  0.05
Garcia 2007b   59  0.3255  0.0060  0.0650  0.0654  0.0570  0.05
Gierzod 1998   63  0.327  0.0123  0.0926  0.3438  0.1929  0.25
Gornostaeva 1994   77  0.2876  0.0069  0.0374  0.0372  0.0386  0.03
Groot 1988   23  0.3947  0.0039  0.0536  0.1853  0.0554  0.09
Harasiewicz 1955   8  0.4812  0.016  0.219  0.6814  0.549  0.61
Hatto 1993   26  0.3845  0.0020  0.1020  0.4638  0.1726  0.28
Hatto 1997   52  0.3365  0.0037  0.0737  0.1754  0.0552  0.09
Horowitz 1949   28  0.3866  0.0050  0.0466  0.0425  0.4940  0.14
Indjic 1988   25  0.3981  0.0022  0.0921  0.4336  0.2422  0.32
Kapell 1951   13  0.4620  0.0018  0.1915  0.5428  0.3017  0.40
Kissin 1993   6  0.492  0.052  0.175  0.709  0.761  0.73
Kushner 1989   22  0.4021  0.0026  0.0922  0.4253  0.0637  0.16
Luisada 1991   18  0.4310  0.0127  0.0828  0.2935  0.2228  0.25
Lushtak 2004   70  0.3057  0.0048  0.0462  0.0452  0.0579  0.04
Malcuzynski 1961   9  0.4817  0.005  0.154  0.726  0.654  0.68
Magaloff 1978   17  0.4338  0.0012  0.1713  0.5810  0.5611  0.57
Magin 1975   24  0.3931  0.0028  0.0825  0.3929  0.3718  0.38
Michalowski 1933   51  0.3437  0.0058  0.0469  0.0411  0.4841  0.14
Milkina 1970   37  0.3650  0.0036  0.0730  0.2640  0.2330  0.24
Mohovich 1999   71  0.3090  0.0079  0.0647  0.0672  0.0469  0.05
Moravec 1969   19  0.4213  0.0116  0.1519  0.5014  0.4716  0.48
Morozova 2008   15  0.4541  0.0011  0.1611  0.6511  0.5510  0.60
Neighaus 1950   62  0.3261  0.0074  0.0471  0.0476  0.0388  0.03
Niedzielski 1931   36  0.3651  0.0051  0.0554  0.0524  0.3442  0.13
Ohlsson 1999   47  0.3427  0.0029  0.0832  0.2544  0.1334  0.18
Osinska 1989   57  0.3349  0.0035  0.0638  0.1575  0.0457  0.08
Pachmann 1927   44  0.3583  0.0033  0.0735  0.1920  0.4723  0.30
Paderewski 1930   74  0.2946  0.0072  0.0551  0.0531  0.3643  0.13
Perlemuter 1992   56  0.3332  0.0067  0.0382  0.0337  0.2056  0.08
Pierdomenico 2008   32  0.3722  0.0043  0.0641  0.1428  0.3432  0.22
Poblocka 1999   20  0.4118  0.0019  0.0927  0.3241  0.2127  0.26
Rabcewiczowa 1932   66  0.3143  0.0062  0.0378  0.0354  0.0674  0.04
Rachmaninoff 1923   11  0.473  0.049  0.2016  0.539  0.5813  0.55
Rangell 2001   33  0.3726  0.0057  0.0470  0.0440  0.2350  0.10
Richter 1976   2  0.515  0.024  0.198  0.6814  0.646  0.66
Rosen 1989   53  0.3368  0.0068  0.0372  0.0374  0.0384  0.03
Rosenthal 1930   76  0.2954  0.0081  0.0376  0.0356  0.0578  0.04
Rosenthal 1931   86  0.1977  0.0085  0.0287  0.0255  0.0582  0.03
Rosenthal 1931b   87  0.1985  0.0086  0.0386  0.0349  0.0681  0.04
Rosenthal 1931c   82  0.2562  0.0083  0.0375  0.0368  0.0489  0.03
Rosenthal 1931d   88  0.1786  0.0088  0.0377  0.0374  0.0487  0.03
Rossi 2007   84  0.2142  0.0063  0.0384  0.0316  0.4644  0.12
Rubinstein 1939   40  0.3534  0.0030  0.0831  0.2626  0.3025  0.28
Rubinstein 1952   39  0.3639  0.0040  0.0640  0.1448  0.0847  0.11
Rubinstein 1966   27  0.3869  0.0025  0.0924  0.4059  0.0638  0.15
Schilhawsky 1960   65  0.3178  0.0056  0.0464  0.0440  0.1359  0.07
Shebanova 2002   14  0.4524  0.0017  0.1517  0.5339  0.2719  0.38
Smith 1975   78  0.2819  0.0080  0.0556  0.0567  0.0473  0.04
Sokolov 2002   45  0.3428  0.0031  0.0929  0.2721  0.4420  0.34
Sztompka 1959   5  0.499  0.018  0.187  0.697  0.703  0.69
Tomsic 1995   61  0.3287  0.0059  0.0552  0.0547  0.0863  0.06
Uninsky 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1971   4  0.504  0.043  0.162  0.742  0.702  0.72
Wasowski 1980   16  0.4529  0.0015  0.1714  0.5619  0.5114  0.53
Zak 1937   31  0.3775  0.0054  0.0558  0.0547  0.0762  0.06
Zak 1951   49  0.3488  0.0065  0.0385  0.0356  0.0575  0.04
Average   1  0.611  0.681  0.681  0.8833  0.3115  0.52
Random 1   90  -0.0359  0.0091  0.0191  0.0142  0.0985  0.03
Random 2   89  0.0364  0.0089  0.0289  0.0228  0.2660  0.07
Random 3   91  -0.0458  0.0090  0.0190  0.0151  0.0591  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).