Gierzod 1998

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   21  0.5414  0.0118  0.0821  0.2823  0.2921  0.28
Anderszewski 2003   19  0.553  0.075  0.107  0.454  0.584  0.51
Ashkenazy 1981   3  0.628  0.023  0.313  0.6213  0.482  0.55
Bacha 2000   9  0.5928  0.0021  0.0910  0.411  0.653  0.52
Badura 1965   60  0.4423  0.0137  0.0445  0.0928  0.2840  0.16
Barbosa 1983   72  0.3890  0.0068  0.0378  0.0362  0.0482  0.03
Biret 1990   66  0.4283  0.0070  0.0373  0.0355  0.0487  0.03
Blet 2003   74  0.3841  0.0076  0.0370  0.0381  0.0384  0.03
Block 1995   64  0.4215  0.0167  0.0374  0.0355  0.0486  0.03
Blumental 1952   32  0.514  0.066  0.1011  0.414  0.585  0.49
Boshniakovich 1969   24  0.539  0.0232  0.0440  0.1136  0.2143  0.15
Brailowsky 1960   26  0.5338  0.0058  0.0747  0.0727  0.3141  0.15
Bunin 1987   54  0.4557  0.0072  0.0468  0.0466  0.0472  0.04
Bunin 1987b   53  0.4567  0.0071  0.0377  0.0375  0.0379  0.03
Chiu 1999   79  0.3458  0.0069  0.0372  0.0347  0.0668  0.04
Cohen 1997   71  0.3877  0.0065  0.0555  0.0521  0.3647  0.13
Cortot 1951   31  0.5112  0.0110  0.0735  0.1614  0.3923  0.25
Csalog 1996   73  0.3874  0.0081  0.0284  0.0259  0.0583  0.03
Czerny 1949   27  0.5252  0.0020  0.0815  0.3720  0.489  0.42
Czerny 1990   44  0.4731  0.0038  0.0436  0.1547  0.0655  0.09
Duchoud 2007   61  0.4384  0.0062  0.0467  0.0463  0.0471  0.04
Ezaki 2006   5  0.6126  0.0114  0.075  0.4719  0.396  0.43
Falvay 1989   33  0.5110  0.0211  0.0619  0.3233  0.2022  0.25
Farrell 1958   57  0.4440  0.0079  0.0464  0.0477  0.0378  0.03
Ferenczy 1958   56  0.4446  0.0073  0.0379  0.0343  0.1160  0.06
Fliere 1977   22  0.5432  0.0046  0.0560  0.0563  0.0467  0.04
Fou 1978   47  0.4733  0.0022  0.0726  0.2245  0.1433  0.18
Francois 1956   30  0.5175  0.0027  0.0623  0.2435  0.1730  0.20
Friedman 1923   86  0.2091  0.0085  0.0376  0.0353  0.0674  0.04
Friedman 1923b   85  0.2181  0.0084  0.0286  0.0241  0.1266  0.05
Friedman 1930   76  0.3720  0.0156  0.0552  0.0526  0.3744  0.14
Garcia 2007   84  0.2163  0.0082  0.0288  0.0249  0.0685  0.03
Garcia 2007b   87  0.1464  0.0086  0.0282  0.0262  0.0488  0.03
Gierzod 1998   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gornostaeva 1994   11  0.5835  0.0025  0.0724  0.2433  0.2324  0.23
Groot 1988   36  0.4947  0.0044  0.0541  0.1061  0.0461  0.06
Harasiewicz 1955   62  0.4359  0.0028  0.0520  0.2848  0.0550  0.12
Hatto 1993   69  0.3960  0.0041  0.0631  0.1928  0.2725  0.23
Hatto 1997   63  0.4286  0.0030  0.0625  0.2333  0.2027  0.21
Horowitz 1949   65  0.4287  0.0074  0.0380  0.0359  0.0480  0.03
Indjic 1988   70  0.3942  0.0040  0.0428  0.1934  0.2128  0.20
Kapell 1951   23  0.5322  0.0136  0.0443  0.1034  0.2934  0.17
Kissin 1993   43  0.4819  0.0123  0.0727  0.2144  0.1732  0.19
Kushner 1989   4  0.6253  0.0015  0.0812  0.4113  0.438  0.42
Luisada 1991   48  0.4648  0.0039  0.0533  0.1765  0.0552  0.09
Lushtak 2004   18  0.555  0.037  0.1013  0.4025  0.3614  0.38
Malcuzynski 1961   2  0.682  0.082  0.242  0.669  0.511  0.58
Magaloff 1978   7  0.6139  0.0013  0.078  0.4431  0.2119  0.30
Magin 1975   55  0.4478  0.0045  0.0544  0.0947  0.0659  0.07
Michalowski 1933   77  0.3661  0.0051  0.0551  0.0528  0.3546  0.13
Milkina 1970   49  0.4688  0.0063  0.0466  0.0453  0.0570  0.04
Mohovich 1999   10  0.5927  0.0117  0.0914  0.3920  0.4211  0.40
Moravec 1969   16  0.567  0.0319  0.0818  0.3412  0.4313  0.38
Morozova 2008   52  0.4521  0.0143  0.0538  0.1442  0.1148  0.12
Neighaus 1950   8  0.6082  0.0012  0.069  0.4232  0.2417  0.32
Niedzielski 1931   51  0.4543  0.0049  0.0559  0.0518  0.3245  0.13
Ohlsson 1999   6  0.6176  0.009  0.086  0.4621  0.3015  0.37
Osinska 1989   38  0.4985  0.0053  0.0554  0.0547  0.0664  0.05
Pachmann 1927   80  0.3179  0.0078  0.0371  0.0370  0.0381  0.03
Paderewski 1930   28  0.5245  0.0047  0.0463  0.0429  0.2053  0.09
Perlemuter 1992   68  0.4166  0.0055  0.0557  0.0547  0.0663  0.05
Pierdomenico 2008   75  0.3737  0.0075  0.0469  0.0454  0.0569  0.04
Poblocka 1999   14  0.5711  0.028  0.0917  0.3430  0.2420  0.29
Rabcewiczowa 1932   40  0.4936  0.0052  0.0649  0.0623  0.4238  0.16
Rachmaninoff 1923   82  0.2749  0.0077  0.0375  0.0384  0.0376  0.03
Rangell 2001   39  0.4934  0.0050  0.0462  0.0458  0.0473  0.04
Richter 1976   78  0.3480  0.0080  0.0281  0.0271  0.0390  0.02
Rosen 1989   13  0.5824  0.0116  0.1116  0.3516  0.4312  0.39
Rosenthal 1930   34  0.5118  0.0157  0.0748  0.0726  0.4137  0.17
Rosenthal 1931   45  0.4716  0.0159  0.0650  0.0614  0.4936  0.17
Rosenthal 1931b   46  0.4725  0.0160  0.0846  0.0810  0.5129  0.20
Rosenthal 1931c   17  0.556  0.0326  0.0630  0.1914  0.5218  0.31
Rosenthal 1931d   58  0.4455  0.0064  0.0558  0.0525  0.2749  0.12
Rossi 2007   88  0.1454  0.0087  0.0283  0.0251  0.0475  0.03
Rubinstein 1939   83  0.2668  0.0088  0.0285  0.0247  0.0677  0.03
Rubinstein 1952   59  0.4470  0.0061  0.0553  0.0546  0.0862  0.06
Rubinstein 1966   50  0.4550  0.0066  0.0465  0.0449  0.0665  0.05
Schilhawsky 1960   25  0.5351  0.0033  0.0542  0.1031  0.2639  0.16
Shebanova 2002   20  0.5472  0.0029  0.0722  0.2723  0.3916  0.32
Smith 1975   12  0.5844  0.004  0.124  0.5021  0.377  0.43
Sokolov 2002   15  0.5617  0.0134  0.0534  0.1745  0.1342  0.15
Sztompka 1959   37  0.4930  0.0048  0.0561  0.0540  0.1754  0.09
Tomsic 1995   35  0.5169  0.0035  0.0429  0.1932  0.1931  0.19
Uninsky 1932   67  0.4213  0.0131  0.0539  0.1362  0.0557  0.08
Uninsky 1971   29  0.5229  0.0024  0.0632  0.1838  0.2526  0.21
Wasowski 1980   81  0.2989  0.0083  0.0287  0.0282  0.0389  0.02
Zak 1937   41  0.4973  0.0054  0.0556  0.0541  0.1456  0.08
Zak 1951   42  0.4865  0.0042  0.0637  0.1541  0.1935  0.17
Average   1  0.711  0.461  0.451  0.7435  0.2310  0.41
Random 1   91  -0.0471  0.0091  0.0191  0.0167  0.0391  0.02
Random 2   90  0.0362  0.0090  0.0290  0.0217  0.3358  0.08
Random 3   89  0.1056  0.0089  0.0289  0.025  0.4951  0.10

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).