Uninsky 1971

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.7622  0.005  0.1410  0.4712  0.4415  0.45
Anderszewski 2003   55  0.5086  0.0054  0.0659  0.0670  0.0458  0.05
Ashkenazy 1981   54  0.5258  0.0038  0.1041  0.2243  0.0940  0.14
Bacha 2000   74  0.3632  0.0063  0.0747  0.0778  0.0352  0.05
Badura 1965   26  0.683  0.037  0.1211  0.461  0.626  0.53
Barbosa 1983   79  0.3116  0.0167  0.0470  0.0466  0.0470  0.04
Biret 1990   65  0.4374  0.0061  0.0750  0.0774  0.0362  0.05
Blet 2003   15  0.7115  0.0134  0.0831  0.365  0.4623  0.41
Block 1995   45  0.5759  0.0047  0.0846  0.0840  0.1146  0.09
Blumental 1952   66  0.4366  0.0052  0.0465  0.0455  0.0573  0.04
Boshniakovich 1969   4  0.775  0.029  0.078  0.4714  0.5310  0.50
Brailowsky 1960   72  0.3741  0.0074  0.0479  0.0478  0.0376  0.03
Bunin 1987   29  0.6575  0.0030  0.0830  0.376  0.5121  0.43
Bunin 1987b   30  0.6464  0.0029  0.0829  0.376  0.5216  0.44
Chiu 1999   67  0.428  0.0160  0.0657  0.0654  0.0454  0.05
Cohen 1997   87  0.1176  0.0075  0.0381  0.0379  0.0383  0.03
Cortot 1951   22  0.6979  0.0036  0.0736  0.3212  0.4630  0.38
Csalog 1996   59  0.4940  0.0055  0.0475  0.0440  0.1248  0.07
Czerny 1949   5  0.7750  0.004  0.233  0.526  0.555  0.53
Czerny 1990   38  0.609  0.0144  0.0644  0.1275  0.0350  0.06
Duchoud 2007   57  0.5046  0.0051  0.0655  0.0639  0.1345  0.09
Ezaki 2006   46  0.5769  0.0049  0.0749  0.0772  0.0351  0.05
Falvay 1989   86  0.2077  0.0087  0.0287  0.0281  0.0289  0.02
Farrell 1958   76  0.3482  0.0071  0.0471  0.0486  0.0379  0.03
Ferenczy 1958   17  0.7043  0.0031  0.0918  0.433  0.5412  0.48
Fliere 1977   10  0.7430  0.0012  0.0821  0.4221  0.3627  0.39
Fou 1978   49  0.5565  0.0042  0.0842  0.1837  0.1338  0.15
Francois 1956   61  0.4988  0.0064  0.0652  0.0662  0.0463  0.05
Friedman 1923   32  0.6410  0.0116  0.0912  0.467  0.598  0.52
Friedman 1923b   34  0.636  0.0115  0.097  0.477  0.597  0.53
Friedman 1930   33  0.6455  0.0033  0.0934  0.3315  0.4926  0.40
Garcia 2007   28  0.6683  0.0037  0.0837  0.2829  0.2537  0.26
Garcia 2007b   16  0.7170  0.0019  0.1025  0.4013  0.4820  0.44
Gierzod 1998   13  0.7212  0.0120  0.1420  0.4216  0.4125  0.41
Gornostaeva 1994   56  0.5048  0.0065  0.0653  0.0678  0.0374  0.04
Groot 1988   70  0.3938  0.0070  0.0380  0.0376  0.0486  0.03
Harasiewicz 1955   23  0.6928  0.0017  0.106  0.4713  0.4219  0.44
Hatto 1993   41  0.6027  0.0011  0.0823  0.429  0.5113  0.46
Hatto 1997   37  0.6153  0.0010  0.0722  0.4211  0.4617  0.44
Horowitz 1949   14  0.7213  0.0124  0.1016  0.435  0.5411  0.48
Indjic 1988   36  0.6117  0.018  0.0817  0.4311  0.4814  0.45
Kapell 1951   8  0.7526  0.0021  0.169  0.4713  0.3128  0.38
Kissin 1993   12  0.7420  0.0023  0.1024  0.4022  0.3729  0.38
Kushner 1989   43  0.5960  0.0053  0.0467  0.0461  0.0568  0.04
Luisada 1991   42  0.5918  0.0041  0.0740  0.2252  0.0642  0.11
Lushtak 2004   63  0.4663  0.0058  0.0466  0.0461  0.0472  0.04
Malcuzynski 1961   48  0.5514  0.0146  0.0660  0.0625  0.2441  0.12
Magaloff 1978   77  0.3442  0.0080  0.0562  0.0570  0.0465  0.04
Magin 1975   24  0.6854  0.0040  0.1039  0.2651  0.0543  0.11
Michalowski 1933   9  0.752  0.036  0.145  0.493  0.613  0.55
Milkina 1970   44  0.574  0.0250  0.0748  0.0781  0.0357  0.05
Mohovich 1999   51  0.5324  0.0059  0.0656  0.0669  0.0461  0.05
Moravec 1969   68  0.4144  0.0077  0.0478  0.0451  0.0564  0.04
Morozova 2008   31  0.6467  0.0039  0.0738  0.2643  0.0939  0.15
Neighaus 1950   27  0.6739  0.0013  0.0914  0.4417  0.4518  0.44
Niedzielski 1931   18  0.7061  0.0035  0.0935  0.3224  0.4032  0.36
Ohlsson 1999   47  0.5629  0.0027  0.0832  0.3432  0.2433  0.29
Osinska 1989   39  0.6080  0.0048  0.0658  0.0653  0.0553  0.05
Pachmann 1927   53  0.5335  0.0066  0.0561  0.0554  0.0469  0.04
Paderewski 1930   50  0.5489  0.0056  0.0476  0.0443  0.0949  0.06
Perlemuter 1992   40  0.6062  0.0032  0.1033  0.3328  0.2434  0.28
Pierdomenico 2008   78  0.3471  0.0078  0.0477  0.0481  0.0378  0.03
Poblocka 1999   2  0.8536  0.002  0.214  0.498  0.549  0.51
Rabcewiczowa 1932   52  0.5351  0.0057  0.0563  0.0546  0.0656  0.05
Rachmaninoff 1923   60  0.4919  0.0062  0.0945  0.0977  0.0355  0.05
Rangell 2001   73  0.3749  0.0073  0.0474  0.0478  0.0384  0.03
Richter 1976   7  0.757  0.0122  0.1313  0.453  0.624  0.53
Rosen 1989   35  0.6281  0.0045  0.0751  0.0764  0.0460  0.05
Rosenthal 1930   62  0.4890  0.0069  0.0469  0.0464  0.0471  0.04
Rosenthal 1931   81  0.3131  0.0084  0.0384  0.0379  0.0381  0.03
Rosenthal 1931b   83  0.3085  0.0085  0.0386  0.0383  0.0387  0.03
Rosenthal 1931c   75  0.3487  0.0083  0.0472  0.0485  0.0388  0.03
Rosenthal 1931d   84  0.2852  0.0086  0.0385  0.0379  0.0385  0.03
Rossi 2007   85  0.2372  0.0081  0.0383  0.0375  0.0477  0.03
Rubinstein 1939   69  0.3945  0.0072  0.0564  0.0581  0.0367  0.04
Rubinstein 1952   82  0.3084  0.0079  0.0468  0.0478  0.0475  0.04
Rubinstein 1966   80  0.3173  0.0076  0.0473  0.0487  0.0382  0.03
Schilhawsky 1960   3  0.8023  0.003  0.222  0.534  0.592  0.56
Shebanova 2002   11  0.7434  0.0014  0.1015  0.4413  0.3924  0.41
Smith 1975   58  0.4911  0.0168  0.0654  0.0682  0.0366  0.04
Sokolov 2002   64  0.4433  0.0043  0.0643  0.1245  0.0647  0.08
Sztompka 1959   19  0.7025  0.0018  0.1119  0.4224  0.3231  0.37
Tomsic 1995   71  0.3847  0.0082  0.0382  0.0380  0.0380  0.03
Uninsky 1932   1  0.911  0.701  0.701  0.811  0.861  0.83
Uninsky 1971   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Wasowski 1980   21  0.6921  0.0025  0.0727  0.387  0.4422  0.41
Zak 1937   20  0.6956  0.0026  0.0926  0.3831  0.1935  0.27
Zak 1951   25  0.6857  0.0028  0.1028  0.3834  0.1836  0.26
Random 1   88  -0.0737  0.0088  0.0288  0.0210  0.4644  0.10
Random 2   90  -0.1668  0.0089  0.0189  0.0121  0.2559  0.05
Random 3   89  -0.1678  0.0090  0.0190  0.0148  0.0590  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).