Blet 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   19  0.4014  0.0132  0.0928  0.3628  0.3225  0.34
Anderszewski 2003   63  0.2967  0.0074  0.0556  0.0560  0.0550  0.05
Ashkenazy 1981   8  0.4347  0.0020  0.0812  0.5128  0.3517  0.42
Bacha 2000   75  0.2468  0.0059  0.0464  0.0461  0.0458  0.04
Badura 1965   57  0.3030  0.0056  0.0555  0.0545  0.0946  0.07
Barbosa 1983   16  0.4070  0.0022  0.0827  0.3964  0.0635  0.15
Biret 1990   37  0.3632  0.0017  0.0829  0.3635  0.3126  0.33
Blet 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Block 1995   47  0.3423  0.0025  0.0635  0.2446  0.0837  0.14
Blumental 1952   59  0.3045  0.0058  0.0470  0.0469  0.0569  0.04
Boshniakovich 1969   18  0.4038  0.0019  0.0718  0.4846  0.0730  0.18
Brailowsky 1960   70  0.2775  0.0072  0.0381  0.0366  0.0561  0.04
Bunin 1987   33  0.379  0.0111  0.1016  0.4914  0.529  0.50
Bunin 1987b   32  0.3816  0.0112  0.1517  0.4810  0.537  0.50
Chiu 1999   36  0.3739  0.0042  0.0842  0.1551  0.0543  0.09
Cohen 1997   76  0.2386  0.0081  0.0378  0.0366  0.0386  0.03
Cortot 1951   83  0.1958  0.0082  0.0284  0.0267  0.0489  0.03
Csalog 1996   14  0.4128  0.0013  0.1615  0.4916  0.4215  0.45
Czerny 1949   84  0.1961  0.0087  0.0471  0.0472  0.0465  0.04
Czerny 1990   40  0.3684  0.0047  0.0645  0.0682  0.0455  0.05
Duchoud 2007   66  0.2959  0.0053  0.0553  0.0551  0.0653  0.05
Ezaki 2006   67  0.2978  0.0075  0.0457  0.0469  0.0557  0.04
Falvay 1989   62  0.2987  0.0073  0.0374  0.0384  0.0374  0.03
Farrell 1958   74  0.2571  0.0076  0.0469  0.0469  0.0463  0.04
Ferenczy 1958   87  0.1650  0.0085  0.0285  0.0257  0.0682  0.03
Fliere 1977   2  0.512  0.072  0.322  0.7624  0.454  0.58
Fou 1978   26  0.3848  0.0040  0.0739  0.2254  0.0540  0.10
Francois 1956   54  0.3151  0.0061  0.0463  0.0435  0.1945  0.09
Friedman 1923   28  0.3864  0.0027  0.0725  0.4125  0.4318  0.42
Friedman 1923b   23  0.3943  0.0026  0.0619  0.4723  0.4814  0.47
Friedman 1930   27  0.3842  0.0028  0.0724  0.4225  0.3820  0.40
Garcia 2007   72  0.2672  0.0070  0.0372  0.0380  0.0384  0.03
Garcia 2007b   44  0.3527  0.0037  0.0738  0.2235  0.1828  0.20
Gierzod 1998   77  0.2279  0.0078  0.0376  0.0385  0.0383  0.03
Gornostaeva 1994   69  0.2810  0.0155  0.0458  0.0480  0.0387  0.03
Groot 1988   3  0.4515  0.016  0.213  0.6715  0.475  0.56
Harasiewicz 1955   6  0.457  0.0118  0.0821  0.4669  0.0536  0.15
Hatto 1993   9  0.433  0.054  0.1810  0.5326  0.3516  0.43
Hatto 1997   22  0.3976  0.0010  0.1214  0.4928  0.3023  0.38
Horowitz 1949   12  0.4112  0.0116  0.1022  0.4413  0.568  0.50
Indjic 1988   10  0.4213  0.015  0.249  0.5324  0.4113  0.47
Kapell 1951   25  0.3931  0.0021  0.0820  0.4750  0.0729  0.18
Kissin 1993   21  0.3936  0.0039  0.0737  0.2245  0.1132  0.16
Kushner 1989   51  0.3263  0.0068  0.0466  0.0482  0.0377  0.03
Luisada 1991   1  0.541  0.591  0.581  0.811  0.731  0.77
Lushtak 2004   60  0.2929  0.0049  0.0550  0.0574  0.0467  0.04
Malcuzynski 1961   52  0.3221  0.0162  0.0461  0.0480  0.0379  0.03
Magaloff 1978   64  0.2985  0.0071  0.0373  0.0366  0.0473  0.03
Magin 1975   5  0.456  0.029  0.138  0.5525  0.4011  0.47
Michalowski 1933   11  0.4117  0.0115  0.0911  0.522  0.693  0.60
Milkina 1970   65  0.2941  0.0064  0.0375  0.0377  0.0378  0.03
Mohovich 1999   55  0.3154  0.0051  0.0647  0.0669  0.0454  0.05
Moravec 1969   48  0.3434  0.0046  0.0551  0.0566  0.0459  0.04
Morozova 2008   45  0.3557  0.0050  0.0649  0.0665  0.0451  0.05
Neighaus 1950   4  0.455  0.023  0.264  0.665  0.572  0.61
Niedzielski 1931   17  0.404  0.048  0.107  0.568  0.556  0.55
Ohlsson 1999   13  0.4126  0.0030  0.0723  0.4348  0.0534  0.15
Osinska 1989   56  0.3090  0.0060  0.0462  0.0466  0.0560  0.04
Pachmann 1927   79  0.2281  0.0083  0.0287  0.0278  0.0480  0.03
Paderewski 1930   43  0.3520  0.0133  0.0634  0.2716  0.5422  0.38
Perlemuter 1992   29  0.3818  0.0136  0.0833  0.2921  0.4024  0.34
Pierdomenico 2008   71  0.2722  0.0157  0.0467  0.0468  0.0462  0.04
Poblocka 1999   39  0.3635  0.0034  0.0732  0.3050  0.0638  0.13
Rabcewiczowa 1932   85  0.1880  0.0077  0.0382  0.0380  0.0376  0.03
Rachmaninoff 1923   42  0.3524  0.0043  0.0543  0.1348  0.0739  0.10
Rangell 2001   73  0.2637  0.0069  0.0379  0.0365  0.0488  0.03
Richter 1976   20  0.398  0.0141  0.0740  0.2059  0.0541  0.10
Rosen 1989   50  0.3366  0.0054  0.0554  0.0587  0.0368  0.04
Rosenthal 1930   58  0.3056  0.0067  0.0377  0.0360  0.0566  0.04
Rosenthal 1931   82  0.2088  0.0080  0.0465  0.0456  0.0564  0.04
Rosenthal 1931b   81  0.2182  0.0079  0.0380  0.0350  0.0570  0.04
Rosenthal 1931c   68  0.2852  0.0063  0.0459  0.0455  0.0571  0.04
Rosenthal 1931d   80  0.2260  0.0066  0.0468  0.0431  0.2442  0.10
Rossi 2007   86  0.1765  0.0084  0.0286  0.0253  0.0572  0.03
Rubinstein 1939   78  0.2262  0.0086  0.0383  0.0373  0.0375  0.03
Rubinstein 1952   53  0.3183  0.0052  0.0646  0.0663  0.0456  0.05
Rubinstein 1966   61  0.2969  0.0065  0.0460  0.0484  0.0381  0.03
Schilhawsky 1960   30  0.3819  0.0129  0.0736  0.2329  0.2827  0.25
Shebanova 2002   35  0.3733  0.0024  0.0830  0.3551  0.0733  0.16
Smith 1975   41  0.3540  0.0045  0.0552  0.0554  0.0649  0.05
Sokolov 2002   31  0.3849  0.0031  0.0926  0.3922  0.4319  0.41
Sztompka 1959   34  0.3711  0.0138  0.0741  0.1764  0.0544  0.09
Tomsic 1995   38  0.3677  0.0035  0.1031  0.3245  0.0831  0.16
Uninsky 1932   46  0.3555  0.0044  0.0544  0.1082  0.0352  0.05
Uninsky 1971   49  0.3474  0.0048  0.0648  0.0656  0.0648  0.06
Wasowski 1980   7  0.4525  0.007  0.195  0.5928  0.3910  0.48
Zak 1937   15  0.4146  0.0014  0.106  0.5720  0.3912  0.47
Zak 1951   24  0.3944  0.0023  0.1013  0.5025  0.3021  0.39
Random 1   88  0.0073  0.0088  0.0288  0.0232  0.2647  0.07
Random 2   90  -0.0389  0.0090  0.0190  0.0169  0.0390  0.02
Random 3   89  0.0053  0.0089  0.0189  0.0143  0.1085  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).