Bunin 1987b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   18  0.5940  0.0027  0.0724  0.3766  0.0435  0.12
Anderszewski 2003   40  0.5021  0.0020  0.0930  0.3167  0.0339  0.10
Ashkenazy 1981   24  0.5841  0.0022  0.0819  0.4045  0.0626  0.15
Bacha 2000   80  0.323  0.0080  0.0377  0.0388  0.0285  0.02
Badura 1965   33  0.5342  0.0013  0.1018  0.4122  0.3612  0.38
Barbosa 1983   60  0.4327  0.0054  0.0551  0.0564  0.0462  0.04
Biret 1990   57  0.4428  0.0063  0.0553  0.0587  0.0369  0.04
Blet 2003   29  0.5512  0.0042  0.0738  0.1950  0.0540  0.10
Block 1995   67  0.4029  0.0050  0.0552  0.0586  0.0279  0.03
Blumental 1952   77  0.349  0.0070  0.0379  0.0350  0.0480  0.03
Boshniakovich 1969   17  0.5943  0.0035  0.0834  0.2738  0.1722  0.21
Brailowsky 1960   63  0.4244  0.0064  0.0375  0.0354  0.0552  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   64  0.4118  0.0059  0.0555  0.0575  0.0353  0.04
Cohen 1997   86  0.1645  0.0086  0.0382  0.0387  0.0290  0.02
Cortot 1951   32  0.5330  0.0033  0.0633  0.2753  0.0536  0.12
Csalog 1996   82  0.3146  0.0074  0.0376  0.0384  0.0378  0.03
Czerny 1949   8  0.6310  0.007  0.116  0.5322  0.376  0.44
Czerny 1990   37  0.5131  0.0046  0.0649  0.0661  0.0449  0.05
Duchoud 2007   20  0.5847  0.0028  0.0721  0.3922  0.3513  0.37
Ezaki 2006   19  0.5848  0.0029  0.0623  0.3761  0.0433  0.12
Falvay 1989   70  0.3822  0.0081  0.0380  0.0382  0.0373  0.03
Farrell 1958   61  0.4349  0.0069  0.0463  0.0478  0.0374  0.03
Ferenczy 1958   22  0.5850  0.0034  0.0928  0.3318  0.3116  0.32
Fliere 1977   10  0.6351  0.0014  0.0917  0.4356  0.0429  0.13
Fou 1978   50  0.4752  0.0062  0.0465  0.0467  0.0458  0.04
Francois 1956   42  0.4953  0.0051  0.0558  0.0555  0.0550  0.05
Friedman 1923   74  0.3654  0.0048  0.0845  0.0822  0.3424  0.16
Friedman 1923b   72  0.3723  0.0047  0.0648  0.0625  0.3032  0.13
Friedman 1930   54  0.4624  0.0023  0.0631  0.3125  0.3614  0.33
Garcia 2007   55  0.4555  0.0056  0.0473  0.0458  0.0466  0.04
Garcia 2007b   69  0.3856  0.0057  0.0467  0.0460  0.0471  0.04
Gierzod 1998   34  0.5357  0.0045  0.0647  0.0678  0.0365  0.04
Gornostaeva 1994   44  0.4958  0.0049  0.0646  0.0657  0.0448  0.05
Groot 1988   27  0.5759  0.0019  0.0829  0.3346  0.0628  0.14
Harasiewicz 1955   16  0.5960  0.004  0.204  0.5421  0.367  0.44
Hatto 1993   56  0.4561  0.0043  0.0741  0.1560  0.0443  0.08
Hatto 1997   38  0.5162  0.0030  0.0532  0.3159  0.0534  0.12
Horowitz 1949   15  0.614  0.0021  0.0820  0.4022  0.4010  0.40
Indjic 1988   49  0.4863  0.0037  0.0637  0.2150  0.0638  0.11
Kapell 1951   4  0.6513  0.0010  0.188  0.5129  0.2811  0.38
Kissin 1993   51  0.4719  0.0066  0.0559  0.0577  0.0361  0.04
Kushner 1989   48  0.4814  0.0058  0.0461  0.0480  0.0375  0.03
Luisada 1991   52  0.4732  0.0065  0.0471  0.0483  0.0372  0.03
Lushtak 2004   9  0.6333  0.009  0.145  0.5433  0.2015  0.33
Malcuzynski 1961   25  0.5711  0.0018  0.0916  0.4340  0.1121  0.22
Magaloff 1978   58  0.4464  0.0053  0.0554  0.0583  0.0354  0.04
Magin 1975   41  0.506  0.0039  0.0643  0.1362  0.0445  0.07
Michalowski 1933   43  0.4965  0.0017  0.1111  0.4821  0.398  0.43
Milkina 1970   73  0.3766  0.0079  0.0381  0.0376  0.0476  0.03
Mohovich 1999   30  0.5515  0.0040  0.0539  0.1773  0.0347  0.07
Moravec 1969   84  0.2916  0.0083  0.0284  0.0286  0.0286  0.02
Morozova 2008   31  0.5425  0.0032  0.0635  0.2754  0.0441  0.10
Neighaus 1950   7  0.6467  0.008  0.1110  0.5150  0.0623  0.17
Niedzielski 1931   68  0.3968  0.0067  0.0470  0.0459  0.0456  0.04
Ohlsson 1999   28  0.5669  0.0031  0.0626  0.3357  0.0437  0.11
Osinska 1989   62  0.4270  0.0071  0.0462  0.0466  0.0451  0.04
Pachmann 1927   39  0.5134  0.0041  0.0640  0.1616  0.3519  0.24
Paderewski 1930   47  0.4971  0.0052  0.0550  0.0579  0.0360  0.04
Perlemuter 1992   23  0.5872  0.0025  0.0722  0.3853  0.0527  0.14
Pierdomenico 2008   71  0.3773  0.0077  0.0474  0.0464  0.0455  0.04
Poblocka 1999   14  0.6174  0.0012  0.1014  0.4441  0.1318  0.24
Rabcewiczowa 1932   59  0.4475  0.0060  0.0464  0.0460  0.0457  0.04
Rachmaninoff 1923   26  0.5735  0.0016  0.0813  0.4530  0.2017  0.30
Rangell 2001   75  0.3676  0.0073  0.0460  0.0486  0.0381  0.03
Richter 1976   5  0.6577  0.006  0.169  0.517  0.513  0.51
Rosen 1989   66  0.4026  0.0072  0.0557  0.0582  0.0367  0.04
Rosenthal 1930   36  0.5278  0.0036  0.0736  0.2228  0.2520  0.23
Rosenthal 1931   78  0.3479  0.0075  0.0472  0.0477  0.0377  0.03
Rosenthal 1931b   79  0.3380  0.0076  0.0556  0.0580  0.0370  0.04
Rosenthal 1931c   65  0.4181  0.0068  0.0469  0.0478  0.0383  0.03
Rosenthal 1931d   81  0.3182  0.0078  0.0383  0.0379  0.0382  0.03
Rossi 2007   87  0.1536  0.0087  0.0285  0.0287  0.0287  0.02
Rubinstein 1939   85  0.285  0.0085  0.0286  0.0277  0.0388  0.02
Rubinstein 1952   83  0.3037  0.0084  0.0287  0.0276  0.0484  0.03
Rubinstein 1966   76  0.347  0.0082  0.0378  0.0387  0.0289  0.02
Schilhawsky 1960   3  0.6917  0.002  0.273  0.5712  0.454  0.51
Shebanova 2002   53  0.4683  0.0061  0.0466  0.0453  0.0563  0.04
Smith 1975   35  0.5384  0.0038  0.0542  0.1559  0.0442  0.08
Sokolov 2002   6  0.6585  0.005  0.157  0.528  0.485  0.50
Sztompka 1959   21  0.5820  0.0026  0.0725  0.3654  0.0625  0.15
Tomsic 1995   45  0.492  0.0055  0.0468  0.0452  0.0559  0.04
Uninsky 1932   12  0.6286  0.0011  0.1312  0.4623  0.419  0.43
Uninsky 1971   2  0.718  0.003  0.292  0.6013  0.452  0.52
Wasowski 1980   46  0.4938  0.0044  0.0644  0.1177  0.0444  0.07
Zak 1937   13  0.6187  0.0024  0.0627  0.3364  0.0530  0.13
Zak 1951   11  0.6239  0.0015  0.0915  0.4368  0.0431  0.13
Random 1   89  -0.0288  0.0088  0.0188  0.016  0.5046  0.07
Random 2   90  -0.0889  0.0089  0.0189  0.0124  0.2064  0.04
Random 3   88  0.0090  0.0090  0.0190  0.0131  0.1968  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).