Uninsky 1971

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   31  0.7012  0.0130  0.0730  0.175  0.6026  0.32
Ashkenazy 1981   21  0.7449  0.0025  0.1026  0.3235  0.1132  0.19
Beliavsky 2004   25  0.7415  0.0027  0.1125  0.336  0.5015  0.41
BenOr 1989   5  0.793  0.082  0.252  0.757  0.611  0.68
Biret 1990   17  0.7524  0.0010  0.0817  0.4132  0.1928  0.28
Blet 2003   42  0.6825  0.0035  0.0640  0.0624  0.2043  0.11
Block 1995   7  0.782  0.124  0.198  0.543  0.598  0.56
Brailowsky 1960   37  0.6831  0.0033  0.0641  0.069  0.5233  0.18
Chiu 1999   16  0.7532  0.0013  0.0812  0.4716  0.4811  0.47
Clidat 1994   27  0.7252  0.0028  0.1327  0.276  0.5219  0.37
Cohen 1997   48  0.6453  0.0048  0.0453  0.0417  0.2748  0.10
Coop 1987   18  0.7518  0.0022  0.0818  0.4128  0.3716  0.39
Cortot 1951   35  0.6933  0.0043  0.0735  0.0728  0.1646  0.11
Czerny 1949   34  0.6943  0.0038  0.0738  0.0726  0.2736  0.14
Czerny 1949b   39  0.6813  0.0039  0.0644  0.0636  0.1051  0.08
Ezaki 2006   26  0.7336  0.0026  0.0924  0.3526  0.3520  0.35
Falvay 1989   22  0.7445  0.0018  0.1111  0.4911  0.539  0.51
Ferenczy 1958   57  0.6150  0.0056  0.0362  0.0340  0.0562  0.04
Fiorentino 1962   6  0.7814  0.007  0.334  0.6513  0.574  0.61
Fliere 1977   10  0.767  0.0212  0.087  0.5510  0.577  0.56
Fou 1978   32  0.7054  0.0037  0.0642  0.0640  0.0855  0.07
Francois 1956   63  0.4919  0.0062  0.0457  0.0416  0.5037  0.14
Hatto 1997   44  0.6735  0.0047  0.0455  0.0447  0.0661  0.05
Horowitz 1971   40  0.6811  0.0132  0.0732  0.147  0.5030  0.26
Horowitz 1985   54  0.6220  0.0034  0.0643  0.066  0.4434  0.16
Indjic 2001   38  0.6847  0.0044  0.0734  0.0736  0.0757  0.07
Kapell 1951   24  0.7430  0.0021  0.1019  0.4129  0.2623  0.33
Kiepura 1999   45  0.6664  0.0049  0.0549  0.0523  0.3438  0.13
Kilenyi 1937   8  0.7710  0.018  0.209  0.5120  0.5110  0.51
Kissin 1993   20  0.7440  0.0017  0.0916  0.4226  0.2624  0.33
Kitain 1937   61  0.5760  0.0055  0.0460  0.0423  0.2845  0.11
Kushner 1990   62  0.5462  0.0063  0.0552  0.0545  0.0560  0.05
Levy 1951   23  0.749  0.0123  0.1023  0.3527  0.2827  0.31
Luisada 1990   36  0.6958  0.0042  0.0736  0.0731  0.1547  0.10
Lushtak 2004   51  0.6342  0.0059  0.0458  0.0449  0.0563  0.04
Lympany 1968   56  0.6155  0.0053  0.0454  0.0432  0.1154  0.07
Magaloff 1977   2  0.8028  0.006  0.306  0.6311  0.566  0.59
Magaloff 1977b   3  0.805  0.035  0.175  0.6410  0.575  0.60
Magin 1975   15  0.7516  0.0014  0.0720  0.4021  0.5013  0.45
Milkina 1970   47  0.6521  0.0051  0.0550  0.0521  0.2342  0.11
Mohovich 1999   29  0.7034  0.0031  0.0831  0.1527  0.2631  0.20
Nadelmann 1956   30  0.7026  0.0029  0.0829  0.2118  0.3429  0.27
Ohlsson 1999   46  0.6561  0.0045  0.0548  0.0529  0.1750  0.09
Olejniczac 1990   4  0.794  0.043  0.243  0.6712  0.583  0.62
Olejniczak 1991   13  0.7637  0.0015  0.0915  0.4424  0.4514  0.44
Osinska 1989   11  0.7623  0.009  0.1610  0.5121  0.3912  0.45
Paderewski 1912   43  0.6859  0.0040  0.0639  0.0620  0.4135  0.16
Perahia 1994   59  0.6029  0.0060  0.0459  0.0456  0.0464  0.04
Perlemuter 1986   60  0.5841  0.0061  0.0456  0.0431  0.1852  0.08
Poblocka 1999   12  0.7627  0.0011  0.0813  0.4732  0.2522  0.34
Rangell 2001   19  0.7544  0.0020  0.0922  0.3726  0.3918  0.38
Risler 1920   58  0.6063  0.0052  0.0551  0.0526  0.2341  0.11
Rosen 1989   50  0.6348  0.0054  0.0545  0.0524  0.2544  0.11
Rubinstein 1939   49  0.6446  0.0050  0.0737  0.0724  0.2240  0.12
Rubinstein 1952   52  0.6217  0.0057  0.0363  0.0348  0.0565  0.04
Rubinstein 1966   55  0.6251  0.0058  0.0361  0.0359  0.0466  0.03
Rummel 1943   41  0.6856  0.0019  0.0828  0.225  0.5521  0.35
Shebanova 2002   53  0.626  0.0346  0.0547  0.0531  0.1253  0.08
Smith 1975   14  0.758  0.0224  0.1121  0.3926  0.2625  0.32
Szpilman 1948   33  0.6938  0.0041  0.0733  0.0725  0.2539  0.13
Uninsky 1971   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Wasowski 1980   28  0.7139  0.0036  0.0546  0.0539  0.0758  0.06
Weissenberg 1971   9  0.7722  0.0016  0.0914  0.4724  0.3017  0.38
Average   1  0.851  0.561  0.551  0.8216  0.482  0.63
Random 1    65  0.0057  0.0065  0.0265  0.0216  0.3949  0.09
Random 2   64  0.0465  0.0064  0.0264  0.0219  0.2256  0.07
Random 3   66  0.0066  0.0066  0.0166  0.0116  0.3159  0.06

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).