Bunin 1987b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   19  0.5941  0.0028  0.0725  0.3767  0.0435  0.12
Anderszewski 2003   41  0.5021  0.0021  0.0931  0.3168  0.0340  0.10
Ashkenazy 1981   25  0.5842  0.0023  0.0820  0.4046  0.0627  0.15
Bacha 2000   81  0.323  0.0081  0.0378  0.0389  0.0285  0.02
Badura 1965   34  0.5343  0.0014  0.1019  0.4123  0.3612  0.38
Barbosa 1983   61  0.4327  0.0055  0.0552  0.0565  0.0464  0.04
Biret 1990   58  0.4428  0.0064  0.0554  0.0588  0.0370  0.04
Blet 2003   30  0.5512  0.0043  0.0739  0.1951  0.0541  0.10
Block 1995   68  0.4029  0.0051  0.0553  0.0587  0.0279  0.03
Blumental 1952   78  0.349  0.0071  0.0380  0.0351  0.0480  0.03
Boshniakovich 1969   18  0.5944  0.0036  0.0835  0.2739  0.1722  0.21
Brailowsky 1960   64  0.4245  0.0065  0.0376  0.0355  0.0554  0.04
Bunin 1987   1  1.001  1.001  0.991  1.001  1.001  1.00
Bunin 1987b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Chiu 1999   65  0.4118  0.0060  0.0556  0.0576  0.0355  0.04
Cohen 1997   87  0.1646  0.0087  0.0383  0.0388  0.0291  0.02
Cortot 1951   33  0.5330  0.0034  0.0634  0.2754  0.0536  0.12
Csalog 1996   83  0.3147  0.0075  0.0377  0.0385  0.0289  0.02
Czerny 1949   9  0.6310  0.008  0.117  0.5323  0.376  0.44
Czerny 1990   38  0.5131  0.0047  0.0650  0.0662  0.0451  0.05
Duchoud 2007   21  0.5848  0.0029  0.0722  0.3923  0.3513  0.37
Ezaki 2006   20  0.5849  0.0030  0.0624  0.3762  0.0433  0.12
Falvay 1989   71  0.3822  0.0082  0.0381  0.0383  0.0374  0.03
Farrell 1958   62  0.4350  0.0070  0.0464  0.0479  0.0375  0.03
Ferenczy 1958   23  0.5851  0.0035  0.0929  0.3319  0.3116  0.32
Fliere 1977   11  0.6352  0.0015  0.0918  0.4357  0.0429  0.13
Fou 1978   51  0.4753  0.0063  0.0466  0.0468  0.0460  0.04
Francois 1956   43  0.4954  0.0052  0.0559  0.0556  0.0552  0.05
Friedman 1923   75  0.3655  0.0049  0.0846  0.0823  0.3424  0.16
Friedman 1923b   73  0.3723  0.0048  0.0649  0.0626  0.3032  0.13
Friedman 1930   55  0.4624  0.0024  0.0632  0.3126  0.3614  0.33
Garcia 2007   56  0.4556  0.0057  0.0474  0.0459  0.0467  0.04
Garcia 2007b   70  0.3857  0.0058  0.0468  0.0461  0.0472  0.04
Gierzod 1998   35  0.5358  0.0046  0.0648  0.0679  0.0366  0.04
Gornostaeva 1994   45  0.4959  0.0050  0.0647  0.0658  0.0450  0.05
Groot 1988   28  0.5760  0.0020  0.0830  0.3347  0.0628  0.14
Harasiewicz 1955   17  0.5961  0.004  0.204  0.5422  0.367  0.44
Hatto 1993   57  0.4562  0.0044  0.0742  0.1561  0.0444  0.08
Hatto 1997   39  0.5163  0.0031  0.0533  0.3160  0.0439  0.11
Horowitz 1949   16  0.614  0.0022  0.0821  0.4023  0.4010  0.40
Indjic 1988   50  0.4864  0.0038  0.0638  0.2151  0.0638  0.11
Kapell 1951   5  0.6513  0.0011  0.189  0.5130  0.2811  0.38
Kissin 1993   52  0.4725  0.0067  0.0560  0.0578  0.0363  0.04
Kushner 1989   49  0.4814  0.0059  0.0462  0.0481  0.0376  0.03
Luisada 1991   53  0.4732  0.0066  0.0472  0.0484  0.0373  0.03
Lushtak 2004   10  0.6333  0.0010  0.145  0.5434  0.2015  0.33
Malcuzynski 1961   26  0.5711  0.0019  0.0917  0.4341  0.1121  0.22
Magaloff 1978   59  0.4465  0.0054  0.0555  0.0584  0.0356  0.04
Magin 1975   42  0.506  0.0040  0.0644  0.1363  0.0446  0.07
Michalowski 1933   44  0.4966  0.0018  0.1012  0.4822  0.398  0.43
Milkina 1970   74  0.3767  0.0080  0.0382  0.0377  0.0477  0.03
Mohovich 1999   31  0.5515  0.0041  0.0540  0.1774  0.0348  0.07
Moravec 1969   85  0.2916  0.0084  0.0285  0.0287  0.0286  0.02
Morozova 2008   32  0.5426  0.0033  0.0636  0.2755  0.0442  0.10
Neighaus 1950   8  0.6468  0.009  0.1111  0.5151  0.0623  0.17
Niedzielski 1931   69  0.3969  0.0068  0.0471  0.0460  0.0458  0.04
Ohlsson 1999   29  0.5670  0.0032  0.0627  0.3358  0.0437  0.11
Osinska 1989   63  0.4271  0.0072  0.0463  0.0467  0.0453  0.04
Pachmann 1927   40  0.5134  0.0042  0.0641  0.1617  0.3519  0.24
Paderewski 1930   48  0.4972  0.0053  0.0551  0.0580  0.0362  0.04
Perlemuter 1992   24  0.5873  0.0026  0.0723  0.3854  0.0434  0.12
Pierdomenico 2008   72  0.3774  0.0078  0.0475  0.0465  0.0457  0.04
Poblocka 1999   15  0.6175  0.0013  0.1015  0.4442  0.1318  0.24
Rabcewiczowa 1932   60  0.4476  0.0061  0.0465  0.0461  0.0459  0.04
Rachmaninoff 1923   27  0.5735  0.0017  0.0814  0.4531  0.2017  0.30
Rangell 2001   76  0.3677  0.0074  0.0461  0.0487  0.0381  0.03
Richter 1976   6  0.6578  0.006  0.1510  0.517  0.513  0.51
Rosen 1989   67  0.4036  0.0073  0.0558  0.0583  0.0368  0.04
Rosenthal 1930   37  0.5279  0.0037  0.0737  0.2229  0.2520  0.23
Rosenthal 1931   79  0.3480  0.0076  0.0473  0.0478  0.0378  0.03
Rosenthal 1931b   80  0.3381  0.0077  0.0557  0.0581  0.0371  0.04
Rosenthal 1931c   66  0.4182  0.0069  0.0470  0.0479  0.0383  0.03
Rosenthal 1931d   82  0.3183  0.0079  0.0384  0.0380  0.0382  0.03
Rossi 2007   88  0.1537  0.0088  0.0286  0.0288  0.0287  0.02
Rubinstein 1939   86  0.285  0.0086  0.0287  0.0278  0.0388  0.02
Rubinstein 1952   84  0.3038  0.0085  0.0288  0.0277  0.0484  0.03
Rubinstein 1966   77  0.347  0.0083  0.0379  0.0388  0.0290  0.02
Schilhawsky 1960   3  0.6917  0.002  0.273  0.5713  0.454  0.51
Shebanova 2002   54  0.4684  0.0062  0.0467  0.0454  0.0565  0.04
Smith 1975   36  0.5385  0.0039  0.0543  0.1560  0.0443  0.08
Sokolov 2002   7  0.6586  0.005  0.138  0.529  0.485  0.50
Sztompka 1959   22  0.5819  0.0027  0.0726  0.3655  0.0625  0.15
Tomsic 1995   46  0.492  0.0056  0.0469  0.0453  0.0561  0.04
Uninsky 1932   13  0.6287  0.0012  0.1313  0.4624  0.419  0.43
Uninsky 1971   2  0.718  0.003  0.292  0.6014  0.452  0.52
Wasowski 1980   47  0.4939  0.0045  0.0645  0.1178  0.0445  0.07
Zak 1937   14  0.6188  0.0025  0.0628  0.3365  0.0530  0.13
Zak 1951   12  0.6240  0.0016  0.0916  0.4369  0.0431  0.13
Average   4  0.6820  0.007  0.146  0.5469  0.0426  0.15
Random 1   90  -0.0289  0.0089  0.0189  0.016  0.5147  0.07
Random 2   91  -0.0890  0.0090  0.0190  0.0124  0.2149  0.05
Random 3   89  0.0091  0.0091  0.0191  0.0132  0.1969  0.04

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).