Duchoud 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.5012  0.0210  0.118  0.4952  0.0515  0.16
Anderszewski 2003   46  0.407  0.0333  0.0538  0.1781  0.0347  0.07
Ashkenazy 1981   2  0.592  0.042  0.195  0.5922  0.372  0.47
Bacha 2000   17  0.4820  0.0024  0.0623  0.3138  0.158  0.22
Badura 1965   23  0.4557  0.0012  0.0814  0.3940  0.245  0.31
Barbosa 1983   76  0.3287  0.0075  0.0566  0.0574  0.0462  0.04
Biret 1990   43  0.4188  0.0059  0.0555  0.0572  0.0469  0.04
Blet 2003   73  0.3367  0.0063  0.0564  0.0577  0.0364  0.04
Block 1995   71  0.3569  0.0047  0.0557  0.0568  0.0467  0.04
Blumental 1952   68  0.3664  0.0076  0.0472  0.0488  0.0382  0.03
Boshniakovich 1969   15  0.4914  0.0118  0.0619  0.3276  0.0431  0.11
Brailowsky 1960   86  0.2728  0.0086  0.0289  0.0288  0.0289  0.02
Bunin 1987   62  0.3758  0.0050  0.0650  0.0645  0.1244  0.08
Bunin 1987b   67  0.3674  0.0048  0.0646  0.0643  0.1635  0.10
Chiu 1999   22  0.4622  0.0025  0.0713  0.4040  0.136  0.23
Cohen 1997   72  0.3329  0.0069  0.0384  0.0376  0.0383  0.03
Cortot 1951   74  0.3375  0.0074  0.0377  0.0382  0.0386  0.03
Csalog 1996   77  0.3211  0.0252  0.0562  0.0577  0.0363  0.04
Czerny 1949   35  0.4340  0.0043  0.0541  0.1565  0.0443  0.08
Czerny 1990   61  0.3776  0.0068  0.0382  0.0388  0.0384  0.03
Duchoud 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ezaki 2006   51  0.3972  0.0060  0.0553  0.0578  0.0454  0.04
Falvay 1989   75  0.3247  0.0085  0.0470  0.0486  0.0377  0.03
Farrell 1958   27  0.4541  0.0020  0.0529  0.2554  0.0621  0.12
Ferenczy 1958   88  0.2582  0.0081  0.0287  0.0286  0.0390  0.02
Fliere 1977   9  0.506  0.036  0.269  0.4880  0.0417  0.14
Fou 1978   12  0.4962  0.0023  0.0622  0.3170  0.0427  0.11
Francois 1956   70  0.3543  0.0066  0.0379  0.0386  0.0388  0.03
Friedman 1923   64  0.3744  0.0072  0.0565  0.0574  0.0472  0.04
Friedman 1923b   65  0.3637  0.0071  0.0469  0.0465  0.0568  0.04
Friedman 1930   59  0.3724  0.0073  0.0648  0.0677  0.0453  0.05
Garcia 2007   16  0.4868  0.0026  0.0721  0.3245  0.1310  0.20
Garcia 2007b   13  0.4932  0.0011  0.0815  0.3857  0.0426  0.12
Gierzod 1998   8  0.5245  0.0013  0.0910  0.4572  0.0420  0.13
Gornostaeva 1994   34  0.4319  0.0132  0.0528  0.2655  0.0437  0.10
Groot 1988   40  0.4259  0.0015  0.0924  0.2969  0.0433  0.11
Harasiewicz 1955   32  0.4389  0.0029  0.0627  0.2754  0.0525  0.12
Hatto 1993   30  0.4485  0.0036  0.0636  0.1883  0.0348  0.07
Hatto 1997   26  0.4590  0.0034  0.0534  0.1952  0.0629  0.11
Horowitz 1949   63  0.3739  0.0061  0.0468  0.0464  0.0561  0.04
Indjic 1988   24  0.4579  0.0035  0.0533  0.1966  0.0439  0.09
Kapell 1951   28  0.4465  0.0019  0.0620  0.3280  0.0334  0.10
Kissin 1993   25  0.4533  0.0041  0.0639  0.1772  0.0442  0.08
Kushner 1989   11  0.4925  0.0017  0.0516  0.3768  0.0422  0.12
Luisada 1991   58  0.3842  0.0070  0.0385  0.0383  0.0374  0.03
Lushtak 2004   31  0.4418  0.0122  0.0625  0.2867  0.0430  0.11
Malcuzynski 1961   53  0.3913  0.0144  0.0644  0.1366  0.0445  0.07
Magaloff 1978   66  0.3634  0.0067  0.0471  0.0483  0.0376  0.03
Magin 1975   5  0.5415  0.015  0.334  0.6341  0.203  0.35
Michalowski 1933   69  0.3626  0.0042  0.0643  0.1446  0.0928  0.11
Milkina 1970   21  0.4755  0.0021  0.0617  0.3765  0.0518  0.14
Mohovich 1999   37  0.4348  0.0028  0.0730  0.2472  0.0436  0.10
Moravec 1969   81  0.2949  0.0087  0.0383  0.0381  0.0373  0.03
Morozova 2008   19  0.4851  0.009  0.1012  0.4151  0.0614  0.16
Neighaus 1950   33  0.4327  0.0039  0.0542  0.1552  0.0541  0.09
Niedzielski 1931   79  0.3083  0.0077  0.0378  0.0387  0.0378  0.03
Ohlsson 1999   1  0.641  0.571  0.571  0.7711  0.561  0.66
Osinska 1989   39  0.4260  0.0046  0.0552  0.0582  0.0356  0.04
Pachmann 1927   54  0.3870  0.0065  0.0567  0.0548  0.0749  0.06
Paderewski 1930   87  0.2580  0.0088  0.0375  0.0380  0.0379  0.03
Perlemuter 1992   48  0.4046  0.0054  0.0560  0.0566  0.0455  0.04
Pierdomenico 2008   36  0.4317  0.0116  0.0835  0.1933  0.297  0.23
Poblocka 1999   57  0.3891  0.0049  0.0647  0.0679  0.0357  0.04
Rabcewiczowa 1932   60  0.3756  0.0062  0.0559  0.0575  0.0460  0.04
Rachmaninoff 1923   45  0.4052  0.0040  0.0637  0.1757  0.0538  0.09
Rangell 2001   29  0.449  0.0231  0.0640  0.1644  0.1813  0.17
Richter 1976   47  0.4016  0.0137  0.0831  0.2142  0.209  0.20
Rosen 1989   7  0.534  0.048  0.256  0.5357  0.0516  0.16
Rosenthal 1930   82  0.2973  0.0078  0.0381  0.0363  0.0381  0.03
Rosenthal 1931   85  0.2784  0.0083  0.0376  0.0370  0.0380  0.03
Rosenthal 1931b   84  0.2953  0.0080  0.0473  0.0464  0.0570  0.04
Rosenthal 1931c   80  0.3010  0.0279  0.0474  0.0456  0.0571  0.04
Rosenthal 1931d   83  0.2981  0.0082  0.0288  0.0254  0.0585  0.03
Rossi 2007   78  0.3130  0.0084  0.0380  0.0385  0.0375  0.03
Rubinstein 1939   42  0.4261  0.0058  0.0556  0.0561  0.0459  0.04
Rubinstein 1952   50  0.4038  0.0057  0.0558  0.0588  0.0287  0.03
Rubinstein 1966   38  0.4271  0.0056  0.0649  0.0680  0.0452  0.05
Schilhawsky 1960   44  0.4135  0.0038  0.0532  0.2161  0.0440  0.09
Shebanova 2002   4  0.543  0.044  0.223  0.6561  0.0512  0.18
Smith 1975   41  0.4236  0.0051  0.0651  0.0685  0.0358  0.04
Sokolov 2002   6  0.545  0.037  0.207  0.4935  0.214  0.32
Sztompka 1959   14  0.4966  0.0014  0.1011  0.4346  0.0811  0.19
Tomsic 1995   52  0.3923  0.0055  0.0554  0.0563  0.0651  0.05
Uninsky 1932   55  0.3821  0.0053  0.0561  0.0565  0.0465  0.04
Uninsky 1971   49  0.4050  0.0045  0.0645  0.1178  0.0446  0.07
Wasowski 1980   56  0.3831  0.0064  0.0563  0.0560  0.0550  0.05
Zak 1937   20  0.4877  0.0030  0.0726  0.2765  0.0523  0.12
Zak 1951   18  0.4878  0.0027  0.0818  0.3260  0.0519  0.13
Average   3  0.588  0.033  0.192  0.6988  0.0224  0.12
Random 1   91  -0.1254  0.0091  0.0191  0.0162  0.0391  0.02
Random 2   90  -0.0586  0.0090  0.0190  0.0137  0.1366  0.04
Random 3   89  0.0563  0.0089  0.0286  0.023  0.5632  0.11

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).