Uninsky 1932

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   2  0.8067  0.007  0.105  0.5315  0.4012  0.46
Anderszewski 2003   51  0.5828  0.0058  0.0565  0.0571  0.0372  0.04
Ashkenazy 1981   48  0.6120  0.0034  0.0639  0.2135  0.1937  0.20
Bacha 2000   68  0.5184  0.0061  0.0653  0.0649  0.0552  0.05
Badura 1965   30  0.703  0.0414  0.0921  0.4117  0.5113  0.46
Barbosa 1983   74  0.4529  0.0068  0.0567  0.0550  0.0558  0.05
Biret 1990   54  0.5739  0.0053  0.0558  0.0558  0.0563  0.05
Blet 2003   19  0.728  0.0141  0.1033  0.278  0.3930  0.32
Block 1995   47  0.6278  0.0057  0.0564  0.0562  0.0474  0.04
Blumental 1952   60  0.5656  0.0050  0.0559  0.0562  0.0475  0.04
Boshniakovich 1969   18  0.7358  0.0028  0.0822  0.3822  0.4419  0.41
Brailowsky 1960   64  0.5341  0.0069  0.0472  0.0460  0.0467  0.04
Bunin 1987   56  0.5766  0.0052  0.0748  0.0719  0.4342  0.17
Bunin 1987b   59  0.5644  0.0051  0.0751  0.0719  0.4440  0.18
Chiu 1999   53  0.5885  0.0054  0.0656  0.0664  0.0368  0.04
Cohen 1997   87  0.2580  0.0075  0.0385  0.0374  0.0387  0.03
Cortot 1951   16  0.7425  0.0036  0.0631  0.285  0.5322  0.39
Csalog 1996   72  0.4662  0.0064  0.0471  0.0464  0.0471  0.04
Czerny 1949   6  0.7731  0.002  0.164  0.555  0.555  0.55
Czerny 1990   35  0.6743  0.0042  0.1040  0.2061  0.0448  0.09
Duchoud 2007   62  0.5468  0.0060  0.0657  0.0636  0.1447  0.09
Ezaki 2006   31  0.707  0.0130  0.0630  0.2937  0.1835  0.23
Falvay 1989   86  0.3286  0.0087  0.0386  0.0385  0.0290  0.02
Farrell 1958   70  0.4872  0.0070  0.0563  0.0564  0.0555  0.05
Ferenczy 1958   22  0.7214  0.0118  0.1027  0.316  0.4821  0.39
Fliere 1977   15  0.7436  0.0022  0.1317  0.4432  0.2031  0.30
Fou 1978   37  0.6645  0.0043  0.0743  0.1630  0.2039  0.18
Francois 1956   63  0.5487  0.0066  0.0568  0.0547  0.0566  0.05
Friedman 1923   20  0.7288  0.0013  0.0913  0.479  0.567  0.51
Friedman 1923b   24  0.7154  0.008  0.1011  0.489  0.566  0.52
Friedman 1930   29  0.7082  0.0027  0.1023  0.3712  0.5117  0.43
Garcia 2007   17  0.7381  0.0037  0.0836  0.2524  0.3432  0.29
Garcia 2007b   9  0.7626  0.0011  0.1110  0.498  0.529  0.50
Gierzod 1998   25  0.7130  0.0020  0.1018  0.4325  0.3323  0.38
Gornostaeva 1994   52  0.5812  0.0159  0.0561  0.0557  0.0562  0.05
Groot 1988   73  0.4569  0.0073  0.0474  0.0475  0.0477  0.04
Harasiewicz 1955   11  0.7616  0.0016  0.117  0.5216  0.3915  0.45
Hatto 1993   45  0.6270  0.0026  0.0826  0.3219  0.3426  0.33
Hatto 1997   42  0.6450  0.0025  0.0825  0.3219  0.3425  0.33
Horowitz 1949   13  0.7532  0.0023  0.1119  0.4213  0.4914  0.45
Indjic 1988   41  0.6452  0.0024  0.0924  0.3319  0.3524  0.34
Kapell 1951   21  0.7211  0.0117  0.1016  0.4418  0.2427  0.32
Kissin 1993   8  0.7740  0.0021  0.1214  0.4720  0.4016  0.43
Kushner 1989   44  0.6327  0.0056  0.0749  0.0768  0.0456  0.05
Luisada 1991   27  0.7021  0.0039  0.0835  0.2545  0.0743  0.13
Lushtak 2004   66  0.5273  0.0065  0.0562  0.0552  0.0561  0.05
Malcuzynski 1961   49  0.605  0.026  0.1337  0.249  0.4228  0.32
Magaloff 1978   75  0.4423  0.0077  0.0384  0.0371  0.0480  0.03
Magin 1975   23  0.7257  0.0032  0.0529  0.2933  0.2134  0.25
Michalowski 1933   12  0.7519  0.004  0.158  0.524  0.584  0.55
Milkina 1970   39  0.6617  0.0046  0.0747  0.0765  0.0457  0.05
Mohovich 1999   50  0.5963  0.0062  0.0946  0.0979  0.0451  0.06
Moravec 1969   57  0.564  0.0329  0.0644  0.1328  0.2838  0.19
Morozova 2008   26  0.716  0.0240  0.0838  0.2430  0.2336  0.23
Neighaus 1950   34  0.6849  0.0019  0.0920  0.4226  0.3820  0.40
Niedzielski 1931   10  0.769  0.015  0.122  0.563  0.612  0.58
Ohlsson 1999   55  0.5746  0.0033  0.0541  0.2037  0.1541  0.17
Osinska 1989   40  0.6664  0.0048  0.0654  0.0664  0.0453  0.05
Pachmann 1927   65  0.5338  0.0076  0.0377  0.0370  0.0384  0.03
Paderewski 1930   58  0.5659  0.0063  0.0469  0.0456  0.0383  0.03
Perlemuter 1992   32  0.6951  0.0031  0.0534  0.2626  0.2533  0.25
Pierdomenico 2008   84  0.3560  0.0079  0.0287  0.0270  0.0481  0.03
Poblocka 1999   3  0.8013  0.0112  0.119  0.5017  0.4410  0.47
Rabcewiczowa 1932   43  0.6410  0.0147  0.0750  0.0739  0.1246  0.09
Rachmaninoff 1923   46  0.6218  0.0049  0.0652  0.0647  0.0650  0.06
Rangell 2001   82  0.3835  0.0074  0.0382  0.0355  0.0488  0.03
Richter 1976   28  0.7024  0.0044  0.1042  0.1911  0.5329  0.32
Rosen 1989   36  0.6722  0.0045  0.1045  0.1058  0.0549  0.07
Rosenthal 1930   67  0.5134  0.0071  0.0560  0.0547  0.0560  0.05
Rosenthal 1931   77  0.4165  0.0078  0.0379  0.0345  0.0859  0.05
Rosenthal 1931b   78  0.4074  0.0084  0.0473  0.0445  0.0765  0.05
Rosenthal 1931c   79  0.3942  0.0083  0.0378  0.0373  0.0489  0.03
Rosenthal 1931d   81  0.3971  0.0085  0.0470  0.0447  0.0764  0.05
Rossi 2007   76  0.4279  0.0080  0.0383  0.0370  0.0479  0.03
Rubinstein 1939   71  0.4715  0.0072  0.0475  0.0469  0.0470  0.04
Rubinstein 1952   83  0.3637  0.0081  0.0381  0.0361  0.0578  0.04
Rubinstein 1966   80  0.3947  0.0082  0.0376  0.0386  0.0385  0.03
Schilhawsky 1960   4  0.782  0.043  0.213  0.569  0.563  0.56
Shebanova 2002   14  0.7433  0.0010  0.1015  0.4622  0.3618  0.41
Smith 1975   61  0.5653  0.0067  0.0566  0.0584  0.0369  0.04
Sokolov 2002   69  0.4948  0.0055  0.0655  0.0651  0.0554  0.05
Sztompka 1959   7  0.7755  0.009  0.086  0.5219  0.4011  0.46
Tomsic 1995   85  0.3489  0.0086  0.0380  0.0378  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   5  0.7875  0.0015  0.0912  0.484  0.528  0.50
Zak 1937   33  0.6890  0.0035  0.0628  0.3148  0.0544  0.12
Zak 1951   38  0.6661  0.0038  0.0632  0.2855  0.0545  0.12
Random 1   89  -0.1676  0.0088  0.0189  0.0130  0.1976  0.04
Random 2   88  -0.1383  0.0089  0.0188  0.0135  0.1373  0.04
Random 3   90  -0.1877  0.0090  0.0190  0.0143  0.1086  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).