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  0.5429  0.0023  0.1423  0.3567  0.0426  0.12
Anderszewski 2003   54  0.4030  0.0031  0.0540  0.1874  0.0343  0.07
Ashkenazy 1981   20  0.5431  0.0018  0.1014  0.4645  0.0715  0.18
Bacha 2000   68  0.2932  0.0067  0.0465  0.0467  0.0454  0.04
Badura 1965   16  0.5533  0.008  0.1120  0.4132  0.348  0.37
Barbosa 1983   77  0.246  0.0072  0.0656  0.0683  0.0273  0.03
Biret 1990   69  0.2834  0.0066  0.0471  0.0480  0.0377  0.03
Blet 2003   60  0.3535  0.0065  0.0654  0.0684  0.0364  0.04
Block 1995   53  0.407  0.0053  0.0655  0.0672  0.0366  0.04
Blumental 1952   66  0.3117  0.0061  0.0466  0.0483  0.0375  0.03
Boshniakovich 1969   9  0.6010  0.0014  0.088  0.5039  0.199  0.31
Brailowsky 1960   70  0.2836  0.0070  0.0558  0.0585  0.0357  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   58  0.3637  0.0047  0.0750  0.0766  0.0349  0.05
Cohen 1997   86  0.1138  0.0083  0.0378  0.0385  0.0287  0.02
Cortot 1951   25  0.5039  0.0024  0.0924  0.3279  0.0334  0.10
Csalog 1996   61  0.3440  0.0058  0.0653  0.0684  0.0274  0.03
Czerny 1949   6  0.6241  0.005  0.145  0.5437  0.316  0.41
Czerny 1990   62  0.3442  0.0064  0.0472  0.0468  0.0376  0.03
Duchoud 2007   26  0.5011  0.0032  0.0526  0.3041  0.1313  0.20
Ezaki 2006   51  0.4018  0.0050  0.0557  0.0563  0.0453  0.04
Falvay 1989   81  0.1843  0.0081  0.0282  0.0288  0.0281  0.02
Farrell 1958   76  0.2544  0.0074  0.0379  0.0380  0.0371  0.03
Ferenczy 1958   24  0.5145  0.0038  0.0634  0.2356  0.0528  0.11
Fliere 1977   18  0.548  0.0022  0.1722  0.4066  0.0421  0.13
Fou 1978   48  0.4146  0.0056  0.0749  0.0768  0.0450  0.05
Francois 1956   56  0.3747  0.0062  0.0468  0.0486  0.0280  0.03
Friedman 1923   41  0.4448  0.0033  0.0729  0.2849  0.0625  0.13
Friedman 1923b   45  0.4349  0.0035  0.0833  0.2448  0.0724  0.13
Friedman 1930   42  0.4450  0.0034  0.0636  0.2348  0.0723  0.13
Garcia 2007   37  0.4551  0.0051  0.0747  0.0785  0.0265  0.04
Garcia 2007b   28  0.493  0.0044  0.0742  0.1463  0.0446  0.07
Gierzod 1998   30  0.4952  0.0039  0.0527  0.2982  0.0337  0.09
Gornostaeva 1994   55  0.3719  0.0036  0.0644  0.1184  0.0252  0.05
Groot 1988   35  0.4653  0.0027  0.0543  0.1267  0.0445  0.07
Harasiewicz 1955   17  0.5512  0.009  0.1011  0.4933  0.1610  0.28
Hatto 1993   43  0.4420  0.0030  0.0535  0.2372  0.0433  0.10
Hatto 1997   38  0.4554  0.0028  0.0530  0.2562  0.0527  0.11
Horowitz 1949   3  0.6555  0.006  0.164  0.5424  0.453  0.49
Indjic 1988   39  0.4556  0.0029  0.0531  0.2567  0.0432  0.10
Kapell 1951   11  0.584  0.0013  0.0915  0.4666  0.0417  0.14
Kissin 1993   29  0.4957  0.0043  0.0739  0.1985  0.0341  0.08
Kushner 1989   46  0.4258  0.0052  0.0651  0.0684  0.0362  0.04
Luisada 1991   50  0.4059  0.0054  0.0559  0.0568  0.0455  0.04
Lushtak 2004   31  0.4860  0.0025  0.0725  0.3080  0.0338  0.09
Malcuzynski 1961   44  0.4461  0.0026  0.0641  0.1859  0.0440  0.08
Magaloff 1978   73  0.2762  0.0073  0.0563  0.0583  0.0358  0.04
Magin 1975   21  0.525  0.0019  0.0918  0.4553  0.0516  0.15
Michalowski 1933   14  0.5663  0.0011  0.087  0.5121  0.297  0.38
Milkina 1970   67  0.3013  0.0071  0.0470  0.0462  0.0463  0.04
Mohovich 1999   59  0.3614  0.0057  0.0561  0.0572  0.0468  0.04
Moravec 1969   80  0.1864  0.0077  0.0377  0.0379  0.0370  0.03
Morozova 2008   36  0.4565  0.0046  0.0945  0.0970  0.0447  0.06
Neighaus 1950   12  0.5666  0.0015  0.1112  0.4871  0.0420  0.14
Niedzielski 1931   47  0.4267  0.0049  0.0652  0.0669  0.0360  0.04
Ohlsson 1999   23  0.5168  0.0020  0.1216  0.4565  0.0422  0.13
Osinska 1989   57  0.3715  0.0063  0.0467  0.0468  0.0456  0.04
Pachmann 1927   40  0.4421  0.0045  0.0846  0.0841  0.1036  0.09
Paderewski 1930   49  0.4169  0.0055  0.0560  0.0587  0.0272  0.03
Perlemuter 1992   32  0.4870  0.0041  0.0737  0.2374  0.0339  0.08
Pierdomenico 2008   74  0.2722  0.0075  0.0374  0.0387  0.0282  0.02
Poblocka 1999   10  0.5971  0.007  0.1213  0.4738  0.1611  0.27
Rabcewiczowa 1932   65  0.3323  0.0059  0.0562  0.0584  0.0361  0.04
Rachmaninoff 1923   34  0.4672  0.0040  0.0728  0.2887  0.0242  0.07
Rangell 2001   71  0.2873  0.0060  0.0564  0.0564  0.0369  0.04
Richter 1976   2  0.6874  0.002  0.273  0.579  0.552  0.56
Rosen 1989   64  0.3375  0.0068  0.0473  0.0465  0.0467  0.04
Rosenthal 1930   52  0.4076  0.0048  0.0748  0.0754  0.0451  0.05
Rosenthal 1931   84  0.1624  0.0085  0.0285  0.0285  0.0385  0.02
Rosenthal 1931b   83  0.1777  0.0084  0.0286  0.0285  0.0389  0.02
Rosenthal 1931c   79  0.2225  0.0076  0.0376  0.0384  0.0378  0.03
Rosenthal 1931d   85  0.149  0.0086  0.0284  0.0284  0.0388  0.02
Rossi 2007   88  0.0316  0.0090  0.0190  0.0187  0.0290  0.01
Rubinstein 1939   75  0.2526  0.0078  0.0281  0.0286  0.0383  0.02
Rubinstein 1952   78  0.2278  0.0080  0.0375  0.0377  0.0479  0.03
Rubinstein 1966   82  0.1727  0.0082  0.0283  0.0283  0.0386  0.02
Schilhawsky 1960   5  0.6479  0.003  0.242  0.5831  0.384  0.47
Shebanova 2002   15  0.5580  0.0021  0.1221  0.4179  0.0329  0.11
Smith 1975   63  0.3381  0.0069  0.0469  0.0459  0.0459  0.04
Sokolov 2002   22  0.5282  0.0010  0.0817  0.4536  0.1612  0.27
Sztompka 1959   33  0.4783  0.0042  0.0732  0.2475  0.0431  0.10
Tomsic 1995   72  0.272  0.0079  0.0280  0.0285  0.0284  0.02
Uninsky 1932   13  0.5684  0.0012  0.0919  0.4451  0.0714  0.18
Uninsky 1971   4  0.6428  0.004  0.206  0.5229  0.375  0.44
Wasowski 1980   27  0.4985  0.0037  0.0538  0.2279  0.0435  0.09
Zak 1937   8  0.6186  0.0017  0.1810  0.4971  0.0418  0.14
Zak 1951   7  0.6187  0.0016  0.159  0.4967  0.0419  0.14
Random 1   89  0.0188  0.0087  0.0287  0.023  0.5630  0.11
Random 2   90  -0.0289  0.0089  0.0189  0.0111  0.3948  0.06
Random 3   87  0.0690  0.0088  0.0188  0.017  0.5344  0.07

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).