Uninsky 1932

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.8068  0.007  0.095  0.5316  0.4012  0.46
Anderszewski 2003   52  0.5830  0.0059  0.0566  0.0572  0.0370  0.04
Ashkenazy 1981   49  0.6120  0.0035  0.0640  0.2136  0.1938  0.20
Bacha 2000   69  0.5185  0.0062  0.0654  0.0650  0.0553  0.05
Badura 1965   31  0.702  0.0415  0.0922  0.4118  0.5113  0.46
Barbosa 1983   75  0.4528  0.0069  0.0568  0.0551  0.0559  0.05
Biret 1990   55  0.5739  0.0054  0.0559  0.0559  0.0475  0.04
Blet 2003   20  0.728  0.0142  0.1034  0.279  0.3930  0.32
Block 1995   48  0.6279  0.0058  0.0565  0.0563  0.0472  0.04
Blumental 1952   61  0.5657  0.0051  0.0560  0.0563  0.0473  0.04
Boshniakovich 1969   19  0.7359  0.0029  0.0823  0.3823  0.4419  0.41
Brailowsky 1960   65  0.5341  0.0070  0.0473  0.0461  0.0466  0.04
Bunin 1987   57  0.5767  0.0053  0.0749  0.0719  0.4342  0.17
Bunin 1987b   60  0.5644  0.0052  0.0652  0.0619  0.4443  0.16
Chiu 1999   54  0.5886  0.0055  0.0657  0.0665  0.0367  0.04
Cohen 1997   88  0.2581  0.0076  0.0386  0.0375  0.0388  0.03
Cortot 1951   17  0.7425  0.0037  0.0632  0.286  0.5322  0.39
Csalog 1996   73  0.4663  0.0065  0.0472  0.0465  0.0385  0.03
Czerny 1949   7  0.7731  0.002  0.164  0.556  0.555  0.55
Czerny 1990   36  0.6743  0.0043  0.1041  0.2062  0.0449  0.09
Duchoud 2007   63  0.5469  0.0061  0.0658  0.0637  0.1448  0.09
Ezaki 2006   32  0.707  0.0131  0.0631  0.2938  0.1835  0.23
Falvay 1989   87  0.3287  0.0088  0.0387  0.0386  0.0291  0.02
Farrell 1958   71  0.4872  0.0071  0.0564  0.0565  0.0556  0.05
Ferenczy 1958   23  0.7214  0.0119  0.1028  0.317  0.4821  0.39
Fliere 1977   16  0.7436  0.0023  0.1318  0.4433  0.2031  0.30
Fou 1978   38  0.6645  0.0044  0.0744  0.1631  0.2040  0.18
Francois 1956   64  0.5488  0.0067  0.0469  0.0448  0.0578  0.04
Friedman 1923   21  0.7289  0.009  0.0814  0.479  0.567  0.51
Friedman 1923b   25  0.7155  0.008  0.1012  0.489  0.566  0.52
Friedman 1930   30  0.7083  0.0028  0.1024  0.3713  0.5117  0.43
Garcia 2007   18  0.7382  0.0038  0.0837  0.2525  0.3432  0.29
Garcia 2007b   10  0.7626  0.0013  0.1211  0.499  0.529  0.50
Gierzod 1998   26  0.7129  0.0021  0.1019  0.4326  0.3323  0.38
Gornostaeva 1994   53  0.5812  0.0160  0.0562  0.0558  0.0563  0.05
Groot 1988   74  0.4570  0.0074  0.0475  0.0476  0.0476  0.04
Harasiewicz 1955   12  0.7616  0.0017  0.118  0.5217  0.3915  0.45
Hatto 1993   46  0.6271  0.0027  0.0827  0.3220  0.3426  0.33
Hatto 1997   43  0.6450  0.0026  0.0826  0.3220  0.3425  0.33
Horowitz 1949   14  0.7532  0.0024  0.1120  0.4214  0.4914  0.45
Indjic 1988   42  0.6453  0.0025  0.0925  0.3320  0.3524  0.34
Kapell 1951   22  0.7211  0.0118  0.1017  0.4419  0.2427  0.32
Kissin 1993   9  0.7740  0.0022  0.1115  0.4721  0.4016  0.43
Kushner 1989   45  0.6327  0.0057  0.0750  0.0769  0.0457  0.05
Luisada 1991   28  0.7021  0.0040  0.0836  0.2546  0.0744  0.13
Lushtak 2004   67  0.5273  0.0066  0.0563  0.0553  0.0562  0.05
Malcuzynski 1961   50  0.605  0.026  0.1338  0.2410  0.4228  0.32
Magaloff 1978   76  0.4423  0.0078  0.0385  0.0372  0.0480  0.03
Magin 1975   24  0.7258  0.0033  0.0530  0.2934  0.2134  0.25
Michalowski 1933   13  0.7519  0.004  0.159  0.524  0.584  0.55
Milkina 1970   40  0.6617  0.0047  0.0748  0.0766  0.0458  0.05
Mohovich 1999   51  0.5964  0.0063  0.0947  0.0980  0.0452  0.06
Moravec 1969   58  0.564  0.0330  0.0645  0.1329  0.2839  0.19
Morozova 2008   27  0.716  0.0241  0.0839  0.2431  0.2336  0.23
Neighaus 1950   35  0.6848  0.0020  0.0921  0.4227  0.3820  0.40
Niedzielski 1931   11  0.769  0.015  0.122  0.563  0.612  0.58
Ohlsson 1999   56  0.5746  0.0034  0.0542  0.2038  0.1541  0.17
Osinska 1989   41  0.6665  0.0049  0.0655  0.0665  0.0454  0.05
Pachmann 1927   66  0.5338  0.0077  0.0378  0.0371  0.0384  0.03
Paderewski 1930   59  0.5660  0.0064  0.0470  0.0457  0.0383  0.03
Perlemuter 1992   33  0.6951  0.0032  0.0535  0.2627  0.2533  0.25
Pierdomenico 2008   85  0.3561  0.0080  0.0288  0.0271  0.0481  0.03
Poblocka 1999   4  0.8013  0.0114  0.1110  0.5018  0.4410  0.47
Rabcewiczowa 1932   44  0.6410  0.0148  0.0751  0.0740  0.1247  0.09
Rachmaninoff 1923   47  0.6218  0.0050  0.0653  0.0648  0.0651  0.06
Rangell 2001   83  0.3835  0.0075  0.0383  0.0356  0.0489  0.03
Richter 1976   29  0.7024  0.0045  0.1043  0.1911  0.5329  0.32
Rosen 1989   37  0.6722  0.0046  0.1046  0.1059  0.0550  0.07
Rosenthal 1930   68  0.5133  0.0072  0.0561  0.0548  0.0561  0.05
Rosenthal 1931   78  0.4166  0.0079  0.0380  0.0346  0.0860  0.05
Rosenthal 1931b   79  0.4074  0.0085  0.0474  0.0446  0.0765  0.05
Rosenthal 1931c   80  0.3942  0.0084  0.0379  0.0374  0.0490  0.03
Rosenthal 1931d   82  0.3975  0.0086  0.0471  0.0448  0.0764  0.05
Rossi 2007   77  0.4280  0.0081  0.0384  0.0371  0.0479  0.03
Rubinstein 1939   72  0.4715  0.0073  0.0476  0.0470  0.0469  0.04
Rubinstein 1952   84  0.3637  0.0082  0.0382  0.0362  0.0577  0.04
Rubinstein 1966   81  0.3949  0.0083  0.0377  0.0387  0.0386  0.03
Schilhawsky 1960   5  0.783  0.043  0.213  0.5610  0.563  0.56
Shebanova 2002   15  0.7434  0.0012  0.1116  0.4623  0.3618  0.41
Smith 1975   62  0.5654  0.0068  0.0567  0.0585  0.0368  0.04
Sokolov 2002   70  0.4947  0.0056  0.0656  0.0652  0.0555  0.05
Sztompka 1959   8  0.7756  0.0010  0.087  0.5220  0.4011  0.46
Tomsic 1995   86  0.3490  0.0087  0.0381  0.0379  0.0382  0.03
Uninsky 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1971   1  0.911  0.701  0.691  0.861  0.811  0.83
Wasowski 1980   6  0.7876  0.0016  0.0913  0.485  0.528  0.50
Zak 1937   34  0.6891  0.0036  0.0629  0.3149  0.0545  0.12
Zak 1951   39  0.6662  0.0039  0.0633  0.2856  0.0546  0.12
Average   2  0.8052  0.0011  0.086  0.5346  0.0837  0.21
Random 1   90  -0.1677  0.0089  0.0190  0.0130  0.1974  0.04
Random 2   89  -0.1384  0.0090  0.0189  0.0135  0.1471  0.04
Random 3   91  -0.1878  0.0091  0.0191  0.0143  0.1087  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).