Duchoud 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.5010  0.029  0.117  0.4951  0.0515  0.16
Anderszewski 2003   45  0.406  0.0332  0.0537  0.1780  0.0346  0.07
Ashkenazy 1981   2  0.593  0.042  0.234  0.5921  0.372  0.47
Bacha 2000   16  0.4820  0.0023  0.0622  0.3137  0.158  0.22
Badura 1965   22  0.4556  0.0011  0.0913  0.3939  0.245  0.31
Barbosa 1983   75  0.3286  0.0074  0.0565  0.0573  0.0461  0.04
Biret 1990   42  0.4187  0.0058  0.0554  0.0571  0.0467  0.04
Blet 2003   72  0.3366  0.0062  0.0563  0.0576  0.0363  0.04
Block 1995   70  0.3568  0.0046  0.0556  0.0567  0.0465  0.04
Blumental 1952   67  0.3661  0.0075  0.0471  0.0487  0.0381  0.03
Boshniakovich 1969   14  0.4914  0.0117  0.0618  0.3275  0.0430  0.11
Brailowsky 1960   85  0.2727  0.0085  0.0288  0.0287  0.0288  0.02
Bunin 1987   61  0.3757  0.0049  0.0649  0.0644  0.1243  0.08
Bunin 1987b   66  0.3673  0.0047  0.0645  0.0642  0.1634  0.10
Chiu 1999   21  0.4617  0.0124  0.0712  0.4039  0.136  0.23
Cohen 1997   71  0.3328  0.0068  0.0383  0.0375  0.0382  0.03
Cortot 1951   73  0.3374  0.0073  0.0376  0.0381  0.0385  0.03
Csalog 1996   76  0.3211  0.0251  0.0561  0.0576  0.0362  0.04
Czerny 1949   34  0.4339  0.0042  0.0540  0.1564  0.0442  0.08
Czerny 1990   60  0.3775  0.0067  0.0381  0.0387  0.0383  0.03
Duchoud 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ezaki 2006   50  0.3971  0.0059  0.0652  0.0677  0.0449  0.05
Falvay 1989   74  0.3246  0.0084  0.0469  0.0485  0.0375  0.03
Farrell 1958   26  0.4540  0.0019  0.0628  0.2553  0.0621  0.12
Ferenczy 1958   87  0.2581  0.0080  0.0286  0.0285  0.0389  0.02
Fliere 1977   8  0.507  0.035  0.268  0.4879  0.0417  0.14
Fou 1978   11  0.4962  0.0022  0.0621  0.3169  0.0426  0.11
Francois 1956   69  0.3542  0.0065  0.0378  0.0385  0.0387  0.03
Friedman 1923   63  0.3743  0.0071  0.0564  0.0573  0.0470  0.04
Friedman 1923b   64  0.3636  0.0070  0.0468  0.0464  0.0566  0.04
Friedman 1930   58  0.3723  0.0072  0.0647  0.0676  0.0453  0.05
Garcia 2007   15  0.4867  0.0025  0.0720  0.3244  0.1310  0.20
Garcia 2007b   12  0.4931  0.0010  0.0814  0.3856  0.0425  0.12
Gierzod 1998   7  0.5244  0.0012  0.099  0.4571  0.0420  0.13
Gornostaeva 1994   33  0.4319  0.0131  0.0627  0.2654  0.0436  0.10
Groot 1988   39  0.4258  0.0014  0.0923  0.2968  0.0432  0.11
Harasiewicz 1955   31  0.4388  0.0028  0.0726  0.2753  0.0524  0.12
Hatto 1993   29  0.4484  0.0035  0.0635  0.1882  0.0347  0.07
Hatto 1997   25  0.4589  0.0033  0.0533  0.1951  0.0628  0.11
Horowitz 1949   62  0.3738  0.0060  0.0467  0.0463  0.0560  0.04
Indjic 1988   23  0.4578  0.0034  0.0532  0.1965  0.0438  0.09
Kapell 1951   27  0.4464  0.0018  0.0619  0.3279  0.0333  0.10
Kissin 1993   24  0.4532  0.0040  0.0638  0.1771  0.0441  0.08
Kushner 1989   10  0.4924  0.0016  0.0615  0.3767  0.0422  0.12
Luisada 1991   57  0.3841  0.0069  0.0384  0.0382  0.0372  0.03
Lushtak 2004   30  0.4418  0.0121  0.0624  0.2866  0.0429  0.11
Malcuzynski 1961   52  0.3912  0.0143  0.0643  0.1365  0.0444  0.07
Magaloff 1978   65  0.3633  0.0066  0.0470  0.0482  0.0374  0.03
Magin 1975   4  0.5413  0.014  0.333  0.6340  0.203  0.35
Michalowski 1933   68  0.3625  0.0041  0.0642  0.1445  0.0927  0.11
Milkina 1970   20  0.4755  0.0020  0.0616  0.3764  0.0518  0.14
Mohovich 1999   36  0.4348  0.0027  0.0729  0.2471  0.0435  0.10
Moravec 1969   80  0.2949  0.0086  0.0382  0.0380  0.0371  0.03
Morozova 2008   18  0.4851  0.008  0.1011  0.4150  0.0614  0.16
Neighaus 1950   32  0.4326  0.0038  0.0541  0.1551  0.0540  0.09
Niedzielski 1931   78  0.3082  0.0076  0.0377  0.0386  0.0376  0.03
Ohlsson 1999   1  0.641  0.571  0.571  0.7710  0.561  0.66
Osinska 1989   38  0.4259  0.0045  0.0651  0.0681  0.0355  0.04
Pachmann 1927   53  0.3869  0.0064  0.0566  0.0547  0.0748  0.06
Paderewski 1930   86  0.2579  0.0087  0.0374  0.0379  0.0377  0.03
Perlemuter 1992   47  0.4045  0.0053  0.0559  0.0565  0.0454  0.04
Pierdomenico 2008   35  0.4316  0.0115  0.0834  0.1932  0.297  0.23
Poblocka 1999   56  0.3890  0.0048  0.0646  0.0678  0.0356  0.04
Rabcewiczowa 1932   59  0.3750  0.0061  0.0558  0.0574  0.0459  0.04
Rachmaninoff 1923   44  0.4052  0.0039  0.0636  0.1756  0.0537  0.09
Rangell 2001   28  0.448  0.0230  0.0639  0.1643  0.1813  0.17
Richter 1976   46  0.4015  0.0136  0.0830  0.2141  0.209  0.20
Rosen 1989   6  0.534  0.047  0.255  0.5356  0.0516  0.16
Rosenthal 1930   81  0.2972  0.0077  0.0380  0.0362  0.0380  0.03
Rosenthal 1931   84  0.2783  0.0082  0.0375  0.0369  0.0378  0.03
Rosenthal 1931b   83  0.2953  0.0079  0.0472  0.0463  0.0568  0.04
Rosenthal 1931c   79  0.309  0.0278  0.0473  0.0455  0.0569  0.04
Rosenthal 1931d   82  0.2980  0.0081  0.0287  0.0253  0.0584  0.03
Rossi 2007   77  0.3129  0.0083  0.0379  0.0384  0.0373  0.03
Rubinstein 1939   41  0.4260  0.0057  0.0555  0.0560  0.0458  0.04
Rubinstein 1952   49  0.4037  0.0056  0.0557  0.0587  0.0286  0.03
Rubinstein 1966   37  0.4270  0.0055  0.0648  0.0679  0.0452  0.05
Schilhawsky 1960   43  0.4134  0.0037  0.0531  0.2160  0.0439  0.09
Shebanova 2002   3  0.542  0.063  0.232  0.6560  0.0512  0.18
Smith 1975   40  0.4235  0.0050  0.0650  0.0684  0.0357  0.04
Sokolov 2002   5  0.545  0.036  0.216  0.4934  0.214  0.32
Sztompka 1959   13  0.4965  0.0013  0.1010  0.4345  0.0811  0.19
Tomsic 1995   51  0.3922  0.0054  0.0553  0.0562  0.0651  0.05
Uninsky 1932   54  0.3821  0.0052  0.0560  0.0564  0.0464  0.04
Uninsky 1971   48  0.4047  0.0044  0.0644  0.1177  0.0445  0.07
Wasowski 1980   55  0.3830  0.0063  0.0562  0.0559  0.0550  0.05
Zak 1937   19  0.4876  0.0029  0.0725  0.2764  0.0523  0.12
Zak 1951   17  0.4877  0.0026  0.0817  0.3259  0.0519  0.13
Random 1   90  -0.1254  0.0090  0.0190  0.0163  0.0390  0.02
Random 2   89  -0.0585  0.0089  0.0189  0.0138  0.1179  0.03
Random 3   88  0.0563  0.0088  0.0285  0.022  0.5631  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).