Uninsky 1932

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   58  0.3248  0.0059  0.0656  0.0641  0.2262  0.11
Anderszewski 2003   86  0.0960  0.0087  0.0382  0.0360  0.0484  0.03
Ashkenazy 1981   2  0.645  0.022  0.242  0.846  0.851  0.84
Bacha 2000   59  0.3249  0.0048  0.0849  0.0824  0.4147  0.18
Badura 1965   50  0.3877  0.0046  0.0847  0.0810  0.5846  0.22
Barbosa 1983   54  0.3526  0.0053  0.0652  0.0637  0.2161  0.11
Biret 1990   65  0.3024  0.0069  0.0470  0.0431  0.4558  0.13
Blet 2003   28  0.4561  0.0035  0.0735  0.2918  0.5732  0.41
Block 1995   32  0.4350  0.0034  0.0633  0.3326  0.4636  0.39
Blumental 1952   51  0.3734  0.0044  0.0645  0.1423  0.4945  0.26
Boshniakovich 1969   57  0.3362  0.0057  0.0653  0.0656  0.0672  0.06
Brailowsky 1960   75  0.2155  0.0077  0.0478  0.0454  0.0674  0.05
Bunin 1987   48  0.3959  0.0040  0.0941  0.2020  0.5041  0.32
Bunin 1987b   47  0.3981  0.0039  0.0740  0.2119  0.5139  0.33
Chiu 1999   16  0.5058  0.0018  0.1014  0.5619  0.6215  0.59
Cohen 1997   80  0.1985  0.0086  0.0384  0.0379  0.0291  0.02
Cortot 1951   66  0.2968  0.0070  0.0471  0.0442  0.1568  0.08
Csalog 1996   53  0.3636  0.0056  0.0561  0.0523  0.4253  0.14
Czerny 1949   79  0.1951  0.0076  0.0479  0.0442  0.1866  0.08
Czerny 1990   19  0.4911  0.0120  0.1118  0.4918  0.7314  0.60
Duchoud 2007   42  0.4030  0.0047  0.0846  0.0827  0.4048  0.18
Ezaki 2006   73  0.2227  0.0068  0.0569  0.0555  0.0673  0.05
Falvay 1989   52  0.3686  0.0055  0.0655  0.0631  0.2660  0.12
Farrell 1958   62  0.3178  0.0066  0.0472  0.0424  0.4155  0.13
Ferenczy 1958   87  0.0863  0.0088  0.0288  0.0258  0.0685  0.03
Fliere 1977   5  0.5619  0.0011  0.267  0.7314  0.757  0.74
Fou 1978   27  0.4543  0.0036  0.0836  0.2914  0.5137  0.38
Francois 1956   81  0.1887  0.0082  0.0285  0.0260  0.0488  0.03
Friedman 1923   10  0.5435  0.009  0.218  0.739  0.769  0.74
Friedman 1923b   8  0.5512  0.017  0.233  0.749  0.785  0.76
Friedman 1930   11  0.533  0.095  0.1710  0.697  0.7610  0.72
Garcia 2007   26  0.456  0.0229  0.0924  0.4412  0.6123  0.52
Garcia 2007b   41  0.4021  0.0043  0.0743  0.1814  0.6140  0.33
Gierzod 1998   82  0.1772  0.0065  0.0474  0.0445  0.1169  0.07
Gornostaeva 1994   77  0.2088  0.0074  0.0476  0.0457  0.0581  0.04
Groot 1988   23  0.4823  0.0028  0.1025  0.4223  0.4133  0.41
Harasiewicz 1955   25  0.4646  0.0023  0.0921  0.4516  0.4928  0.47
Hatto 1993   15  0.5014  0.0016  0.1016  0.5315  0.5521  0.54
Hatto 1997   46  0.3969  0.0051  0.0751  0.0731  0.2457  0.13
Horowitz 1949   24  0.4741  0.0031  0.1227  0.408  0.7320  0.54
Indjic 1988   13  0.5220  0.0017  0.1515  0.5418  0.5818  0.56
Kapell 1951   22  0.4828  0.0030  0.1028  0.4013  0.4929  0.44
Kissin 1993   12  0.539  0.0112  0.2211  0.6410  0.7612  0.70
Kushner 1989   34  0.4315  0.0042  0.0639  0.2224  0.4542  0.31
Luisada 1991   14  0.508  0.0122  0.0931  0.3523  0.5330  0.43
Lushtak 2004   70  0.2556  0.0075  0.0475  0.0448  0.0676  0.05
Malcuzynski 1961   20  0.4833  0.0013  0.1313  0.604  0.7113  0.65
Magaloff 1978   44  0.4025  0.0026  0.0934  0.3222  0.4735  0.39
Magin 1975   37  0.4122  0.0019  0.1030  0.3816  0.6924  0.51
Michalowski 1933   29  0.4573  0.0032  0.1029  0.3910  0.5926  0.48
Milkina 1970   68  0.2744  0.0063  0.0567  0.0533  0.3456  0.13
Mohovich 1999   72  0.2382  0.0078  0.0473  0.0466  0.0480  0.04
Moravec 1969   40  0.4139  0.0033  0.0732  0.3312  0.5331  0.42
Morozova 2008   33  0.4342  0.0027  0.1020  0.4611  0.5425  0.50
Neighaus 1950   45  0.4057  0.0050  0.0560  0.0545  0.1170  0.07
Niedzielski 1931   21  0.4837  0.0025  0.0923  0.4412  0.6222  0.52
Ohlsson 1999   31  0.4447  0.0014  0.1426  0.4117  0.5427  0.47
Osinska 1989   61  0.3152  0.0058  0.0562  0.0535  0.3159  0.12
Pachmann 1927   17  0.4945  0.0015  0.1417  0.5116  0.6816  0.59
Paderewski 1930   43  0.4083  0.0045  0.0744  0.1522  0.5543  0.29
Perlemuter 1992   36  0.4231  0.0037  0.0937  0.2618  0.6134  0.40
Pierdomenico 2008   18  0.4918  0.0021  0.0922  0.454  0.7017  0.56
Poblocka 1999   39  0.4174  0.0038  0.0738  0.2613  0.4738  0.35
Rabcewiczowa 1932   76  0.2053  0.0080  0.0380  0.0363  0.0579  0.04
Rachmaninoff 1923   9  0.554  0.054  0.1912  0.636  0.7711  0.70
Rangell 2001   56  0.3438  0.0064  0.0565  0.0539  0.1964  0.10
Richter 1976   6  0.5617  0.0010  0.206  0.7314  0.794  0.76
Rosen 1989   35  0.4332  0.0041  0.0642  0.1832  0.4044  0.27
Rosenthal 1930   64  0.3071  0.0071  0.0566  0.0544  0.1367  0.08
Rosenthal 1931   85  0.1064  0.0085  0.0286  0.0256  0.0583  0.03
Rosenthal 1931b   83  0.1384  0.0083  0.0383  0.0358  0.0487  0.03
Rosenthal 1931c   78  0.2079  0.0079  0.0564  0.0554  0.0577  0.05
Rosenthal 1931d   84  0.1189  0.0084  0.0287  0.0260  0.0486  0.03
Rossi 2007   88  0.0770  0.0073  0.0477  0.0418  0.4254  0.13
Rubinstein 1939   69  0.2680  0.0062  0.0568  0.0533  0.1963  0.10
Rubinstein 1952   71  0.2490  0.0072  0.0563  0.0572  0.0482  0.04
Rubinstein 1966   63  0.3065  0.0067  0.0558  0.0556  0.0575  0.05
Schilhawsky 1960   67  0.2766  0.0052  0.0654  0.0624  0.4251  0.16
Shebanova 2002   3  0.612  0.093  0.299  0.729  0.768  0.74
Smith 1975   74  0.2154  0.0081  0.0381  0.0359  0.0578  0.04
Sokolov 2002   55  0.3429  0.0060  0.0657  0.0632  0.3252  0.14
Sztompka 1959   7  0.5610  0.018  0.194  0.746  0.776  0.75
Tomsic 1995   60  0.3191  0.0049  0.0559  0.0538  0.1465  0.08
Uninsky 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1971   30  0.4416  0.0024  0.0919  0.484  0.6219  0.55
Wasowski 1980   4  0.5813  0.006  0.215  0.732  0.793  0.76
Zak 1937   38  0.4140  0.0054  0.0750  0.0730  0.3649  0.16
Zak 1951   49  0.3875  0.0061  0.0848  0.0830  0.3350  0.16
Average   1  0.701  0.611  0.601  0.905  0.712  0.80
Random 1   89  0.007  0.0289  0.0289  0.0238  0.1771  0.06
Random 2   91  -0.0376  0.0090  0.0190  0.0178  0.0389  0.02
Random 3   90  -0.0367  0.0091  0.0191  0.0164  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).