Shebanova 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   33  0.6371  0.0042  0.0442  0.1150  0.0551  0.07
Anderszewski 2003   77  0.3683  0.0068  0.0371  0.0381  0.0287  0.02
Ashkenazy 1981   6  0.7313  0.0110  0.124  0.5421  0.3512  0.43
Bacha 2000   13  0.6958  0.0021  0.1116  0.475  0.528  0.49
Badura 1965   56  0.4976  0.0047  0.0651  0.0642  0.1341  0.09
Barbosa 1983   45  0.5521  0.0134  0.1130  0.2629  0.3225  0.29
Biret 1990   17  0.6952  0.0019  0.1222  0.4222  0.2721  0.34
Blet 2003   39  0.5923  0.0153  0.0557  0.0551  0.0560  0.05
Block 1995   53  0.5245  0.0063  0.0372  0.0338  0.1456  0.06
Blumental 1952   60  0.4743  0.0051  0.0748  0.0732  0.1636  0.11
Boshniakovich 1969   28  0.6439  0.0048  0.0650  0.0636  0.1839  0.10
Brailowsky 1960   24  0.6677  0.0032  0.0631  0.2530  0.2627  0.25
Bunin 1987   75  0.3653  0.0082  0.0374  0.0384  0.0288  0.02
Bunin 1987b   74  0.3637  0.0081  0.0384  0.0384  0.0286  0.02
Chiu 1999   20  0.688  0.035  0.176  0.523  0.593  0.55
Cohen 1997   42  0.5828  0.0028  0.0828  0.317  0.4617  0.38
Cortot 1951   44  0.5579  0.0062  0.0462  0.0453  0.0662  0.05
Csalog 1996   12  0.703  0.093  0.119  0.502  0.584  0.54
Czerny 1949   62  0.4789  0.0057  0.0652  0.0666  0.0369  0.04
Czerny 1990   30  0.6359  0.0043  0.0637  0.1764  0.0447  0.08
Duchoud 2007   41  0.5812  0.0235  0.1129  0.2841  0.1331  0.19
Ezaki 2006   34  0.6347  0.0045  0.0545  0.1070  0.0357  0.05
Falvay 1989   4  0.7514  0.0111  0.107  0.5117  0.3413  0.42
Farrell 1958   47  0.5484  0.0074  0.0560  0.0581  0.0363  0.04
Ferenczy 1958   67  0.4585  0.0073  0.0469  0.0462  0.0468  0.04
Fliere 1977   7  0.7319  0.0116  0.118  0.5032  0.1824  0.30
Fou 1978   18  0.6934  0.0014  0.1114  0.4822  0.3614  0.42
Francois 1956   49  0.5341  0.0040  0.0634  0.1864  0.0449  0.08
Friedman 1923   91  -0.1063  0.0091  0.0191  0.0184  0.0391  0.02
Friedman 1923b   90  -0.0955  0.0090  0.0290  0.0279  0.0389  0.02
Friedman 1930   87  0.0851  0.0087  0.0381  0.0383  0.0377  0.03
Garcia 2007   79  0.3473  0.0079  0.0382  0.0357  0.0478  0.03
Garcia 2007b   86  0.1567  0.0086  0.0383  0.0371  0.0383  0.03
Gierzod 1998   14  0.6980  0.0017  0.0921  0.4233  0.1926  0.28
Gornostaeva 1994   43  0.5664  0.0056  0.0559  0.0566  0.0371  0.04
Groot 1988   29  0.6424  0.0150  0.0847  0.0844  0.1044  0.09
Harasiewicz 1955   76  0.3656  0.0061  0.0463  0.0481  0.0381  0.03
Hatto 1993   73  0.3932  0.0023  0.1625  0.3236  0.1530  0.22
Hatto 1997   71  0.4022  0.0133  0.0932  0.2452  0.0438  0.10
Horowitz 1949   54  0.5218  0.0152  0.0558  0.0556  0.0465  0.04
Indjic 1988   68  0.4165  0.0022  0.1126  0.3233  0.1629  0.23
Kapell 1951   48  0.5486  0.0067  0.0555  0.0568  0.0364  0.04
Kissin 1993   1  0.811  0.341  0.341  0.672  0.701  0.68
Kushner 1989   9  0.7211  0.0212  0.103  0.5611  0.409  0.47
Luisada 1991   35  0.624  0.056  0.1323  0.3815  0.3915  0.38
Lushtak 2004   37  0.6033  0.0038  0.0438  0.1552  0.0542  0.09
Malcuzynski 1961   25  0.6631  0.0049  0.0946  0.0968  0.0359  0.05
Magaloff 1978   26  0.6460  0.0044  0.0543  0.1174  0.0354  0.06
Magin 1975   59  0.4826  0.0037  0.0440  0.1353  0.0546  0.08
Michalowski 1933   80  0.3257  0.0066  0.0461  0.0464  0.0466  0.04
Milkina 1970   2  0.7810  0.032  0.242  0.584  0.592  0.58
Mohovich 1999   36  0.6117  0.0158  0.0649  0.0663  0.0370  0.04
Moravec 1969   16  0.699  0.038  0.1311  0.494  0.547  0.51
Morozova 2008   50  0.5325  0.0031  0.0633  0.2148  0.0537  0.10
Neighaus 1950   31  0.6374  0.0039  0.0436  0.1758  0.0448  0.08
Niedzielski 1931   66  0.4538  0.0054  0.0556  0.0539  0.1245  0.08
Ohlsson 1999   8  0.722  0.094  0.135  0.538  0.515  0.52
Osinska 1989   10  0.7169  0.0015  0.0817  0.4621  0.3116  0.38
Pachmann 1927   51  0.5375  0.0055  0.0653  0.0636  0.2235  0.11
Paderewski 1930   38  0.605  0.0529  0.0741  0.1230  0.1733  0.14
Perlemuter 1992   57  0.4948  0.0065  0.0468  0.0445  0.0853  0.06
Pierdomenico 2008   27  0.6442  0.0020  0.1018  0.447  0.4310  0.43
Poblocka 1999   11  0.717  0.0424  0.1020  0.4326  0.2820  0.35
Rabcewiczowa 1932   61  0.4781  0.0072  0.0465  0.0465  0.0373  0.03
Rachmaninoff 1923   83  0.2661  0.0077  0.0287  0.0267  0.0385  0.02
Rangell 2001   21  0.6716  0.0125  0.1315  0.4719  0.2819  0.36
Richter 1976   55  0.5046  0.0059  0.0466  0.0440  0.0955  0.06
Rosen 1989   15  0.6949  0.0027  0.0824  0.3429  0.3022  0.32
Rosenthal 1930   70  0.4172  0.0078  0.0380  0.0381  0.0379  0.03
Rosenthal 1931   82  0.3044  0.0085  0.0377  0.0372  0.0375  0.03
Rosenthal 1931b   81  0.3254  0.0084  0.0379  0.0380  0.0290  0.02
Rosenthal 1931c   65  0.4562  0.0075  0.0378  0.0371  0.0382  0.03
Rosenthal 1931d   69  0.4166  0.0076  0.0376  0.0361  0.0480  0.03
Rossi 2007   84  0.2090  0.0080  0.0285  0.0259  0.0384  0.02
Rubinstein 1939   78  0.3491  0.0041  0.0439  0.1526  0.3428  0.23
Rubinstein 1952   3  0.7636  0.007  0.1210  0.497  0.556  0.52
Rubinstein 1966   23  0.6668  0.0026  0.1127  0.3119  0.4318  0.37
Schilhawsky 1960   64  0.4550  0.0064  0.0370  0.0369  0.0376  0.03
Shebanova 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Smith 1975   40  0.5982  0.0046  0.0654  0.0661  0.0458  0.05
Sokolov 2002   52  0.5340  0.0060  0.0467  0.0469  0.0372  0.03
Sztompka 1959   58  0.4935  0.0070  0.0373  0.0366  0.0474  0.03
Tomsic 1995   19  0.6827  0.0030  0.0635  0.1837  0.1432  0.16
Uninsky 1932   72  0.4029  0.0071  0.0464  0.0447  0.0661  0.05
Uninsky 1971   63  0.4678  0.0069  0.0375  0.0356  0.0567  0.04
Wasowski 1980   46  0.5415  0.0136  0.0544  0.1145  0.0840  0.09
Zak 1937   22  0.6730  0.009  0.1113  0.4815  0.3811  0.43
Zak 1951   32  0.6320  0.0118  0.1119  0.4333  0.2323  0.31
Average   5  0.756  0.0413  0.1012  0.4867  0.0334  0.12
Random 1   88  0.0487  0.0088  0.0289  0.025  0.4443  0.09
Random 2   89  -0.0588  0.0089  0.0286  0.0224  0.2550  0.07
Random 3   85  0.1870  0.0083  0.0288  0.0221  0.2852  0.07

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).