Blet 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   20  0.408  0.0133  0.0929  0.3629  0.3225  0.34
Anderszewski 2003   64  0.2965  0.0075  0.0557  0.0561  0.0551  0.05
Ashkenazy 1981   9  0.4347  0.0021  0.0813  0.5129  0.3517  0.42
Bacha 2000   76  0.2466  0.0060  0.0465  0.0462  0.0458  0.04
Badura 1965   58  0.3028  0.0057  0.0556  0.0546  0.0947  0.07
Barbosa 1983   17  0.4068  0.0023  0.0828  0.3965  0.0636  0.15
Biret 1990   38  0.3635  0.0018  0.0830  0.3636  0.3126  0.33
Blet 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Block 1995   48  0.3421  0.0026  0.0636  0.2447  0.0739  0.13
Blumental 1952   60  0.3045  0.0059  0.0471  0.0470  0.0568  0.04
Boshniakovich 1969   19  0.4038  0.0020  0.0719  0.4847  0.0731  0.18
Brailowsky 1960   71  0.2777  0.0073  0.0382  0.0367  0.0561  0.04
Bunin 1987   34  0.3711  0.0112  0.0917  0.4915  0.529  0.50
Bunin 1987b   33  0.3814  0.0113  0.1518  0.4811  0.537  0.50
Chiu 1999   37  0.3737  0.0043  0.0843  0.1552  0.0544  0.09
Cohen 1997   77  0.2387  0.0082  0.0379  0.0367  0.0385  0.03
Cortot 1951   84  0.1958  0.0083  0.0285  0.0268  0.0488  0.03
Csalog 1996   15  0.4142  0.0014  0.1616  0.4917  0.4215  0.45
Czerny 1949   85  0.1960  0.0088  0.0372  0.0373  0.0481  0.03
Czerny 1990   41  0.3685  0.0048  0.0646  0.0683  0.0369  0.04
Duchoud 2007   67  0.2959  0.0054  0.0554  0.0552  0.0654  0.05
Ezaki 2006   68  0.2979  0.0076  0.0458  0.0470  0.0557  0.04
Falvay 1989   63  0.2988  0.0074  0.0375  0.0385  0.0289  0.02
Farrell 1958   75  0.2572  0.0077  0.0470  0.0470  0.0463  0.04
Ferenczy 1958   88  0.1654  0.0086  0.0286  0.0258  0.0680  0.03
Fliere 1977   3  0.514  0.023  0.313  0.7625  0.454  0.58
Fou 1978   27  0.3855  0.0041  0.0740  0.2255  0.0541  0.10
Francois 1956   55  0.3148  0.0062  0.0464  0.0436  0.1946  0.09
Friedman 1923   29  0.3875  0.0028  0.0726  0.4126  0.4318  0.42
Friedman 1923b   24  0.3943  0.0027  0.0620  0.4724  0.4814  0.47
Friedman 1930   28  0.3841  0.0029  0.0725  0.4226  0.3820  0.40
Garcia 2007   73  0.2670  0.0071  0.0373  0.0381  0.0383  0.03
Garcia 2007b   45  0.3524  0.0038  0.0639  0.2236  0.1829  0.20
Gierzod 1998   78  0.2280  0.0079  0.0377  0.0386  0.0382  0.03
Gornostaeva 1994   70  0.287  0.0156  0.0459  0.0481  0.0386  0.03
Groot 1988   4  0.4512  0.017  0.204  0.6716  0.475  0.56
Harasiewicz 1955   7  0.459  0.0119  0.0822  0.4670  0.0537  0.15
Hatto 1993   10  0.4317  0.015  0.1811  0.5327  0.3516  0.43
Hatto 1997   23  0.3976  0.0011  0.1215  0.4929  0.3023  0.38
Horowitz 1949   13  0.4110  0.0117  0.1023  0.4414  0.568  0.50
Indjic 1988   11  0.4251  0.006  0.2410  0.5325  0.4113  0.47
Kapell 1951   26  0.3929  0.0022  0.0821  0.4751  0.0730  0.18
Kissin 1993   22  0.3934  0.0040  0.0738  0.2246  0.1133  0.16
Kushner 1989   52  0.3262  0.0069  0.0467  0.0483  0.0376  0.03
Luisada 1991   2  0.542  0.132  0.582  0.812  0.731  0.77
Lushtak 2004   61  0.2926  0.0050  0.0551  0.0575  0.0466  0.04
Malcuzynski 1961   53  0.3218  0.0163  0.0462  0.0481  0.0378  0.03
Magaloff 1978   65  0.2986  0.0072  0.0374  0.0367  0.0473  0.03
Magin 1975   6  0.455  0.0210  0.139  0.5526  0.4011  0.47
Michalowski 1933   12  0.4113  0.0116  0.0812  0.523  0.693  0.60
Milkina 1970   66  0.2940  0.0065  0.0376  0.0378  0.0377  0.03
Mohovich 1999   56  0.3153  0.0052  0.0648  0.0670  0.0455  0.05
Moravec 1969   49  0.3431  0.0047  0.0552  0.0567  0.0459  0.04
Morozova 2008   46  0.3561  0.0051  0.0650  0.0666  0.0452  0.05
Neighaus 1950   5  0.4525  0.004  0.265  0.666  0.572  0.61
Niedzielski 1931   18  0.403  0.039  0.108  0.569  0.556  0.55
Ohlsson 1999   14  0.4123  0.0031  0.0724  0.4349  0.0535  0.15
Osinska 1989   57  0.3091  0.0061  0.0463  0.0467  0.0560  0.04
Pachmann 1927   80  0.2282  0.0084  0.0288  0.0279  0.0390  0.02
Paderewski 1930   44  0.3516  0.0134  0.0635  0.2717  0.5422  0.38
Perlemuter 1992   30  0.3815  0.0137  0.0834  0.2922  0.4024  0.34
Pierdomenico 2008   72  0.2720  0.0158  0.0468  0.0469  0.0462  0.04
Poblocka 1999   40  0.3633  0.0035  0.0733  0.3051  0.0638  0.13
Rabcewiczowa 1932   86  0.1881  0.0078  0.0383  0.0381  0.0375  0.03
Rachmaninoff 1923   43  0.3522  0.0044  0.0544  0.1349  0.0740  0.10
Rangell 2001   74  0.2636  0.0070  0.0380  0.0366  0.0487  0.03
Richter 1976   21  0.396  0.0142  0.0741  0.2060  0.0542  0.10
Rosen 1989   51  0.3367  0.0055  0.0555  0.0588  0.0367  0.04
Rosenthal 1930   59  0.3057  0.0068  0.0378  0.0361  0.0565  0.04
Rosenthal 1931   83  0.2089  0.0081  0.0466  0.0457  0.0564  0.04
Rosenthal 1931b   82  0.2183  0.0080  0.0381  0.0351  0.0570  0.04
Rosenthal 1931c   69  0.2849  0.0064  0.0460  0.0456  0.0571  0.04
Rosenthal 1931d   81  0.2273  0.0067  0.0469  0.0432  0.2443  0.10
Rossi 2007   87  0.1764  0.0085  0.0287  0.0254  0.0572  0.03
Rubinstein 1939   79  0.2263  0.0087  0.0384  0.0374  0.0374  0.03
Rubinstein 1952   54  0.3184  0.0053  0.0647  0.0664  0.0456  0.05
Rubinstein 1966   62  0.2969  0.0066  0.0461  0.0485  0.0379  0.03
Schilhawsky 1960   31  0.3819  0.0130  0.0737  0.2330  0.2827  0.25
Shebanova 2002   36  0.3730  0.0025  0.0831  0.3552  0.0734  0.16
Smith 1975   42  0.3539  0.0046  0.0553  0.0555  0.0650  0.05
Sokolov 2002   32  0.3850  0.0032  0.0927  0.3923  0.4319  0.41
Sztompka 1959   35  0.3727  0.0039  0.0742  0.1765  0.0545  0.09
Tomsic 1995   39  0.3678  0.0036  0.1032  0.3246  0.0832  0.16
Uninsky 1932   47  0.3556  0.0045  0.0545  0.1083  0.0353  0.05
Uninsky 1971   50  0.3474  0.0049  0.0649  0.0657  0.0649  0.06
Wasowski 1980   8  0.4532  0.008  0.186  0.5929  0.3910  0.48
Zak 1937   16  0.4146  0.0015  0.107  0.5721  0.3912  0.47
Zak 1951   25  0.3944  0.0024  0.1014  0.5026  0.3021  0.39
Average   1  0.591  0.631  0.621  0.8666  0.0528  0.21
Random 1   89  0.0071  0.0089  0.0289  0.0232  0.2648  0.07
Random 2   91  -0.0390  0.0091  0.0191  0.0170  0.0391  0.02
Random 3   90  0.0052  0.0090  0.0190  0.0143  0.1184  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).