Duchoud 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   14  0.7053  0.0021  0.0921  0.4117  0.3422  0.37
Anderszewski 2003   15  0.7014  0.0113  0.0813  0.459  0.529  0.48
Ashkenazy 1981   11  0.724  0.055  0.144  0.526  0.513  0.51
Bacha 2000   59  0.5468  0.0073  0.0455  0.0450  0.0563  0.04
Badura 1965   56  0.5540  0.0031  0.0733  0.2510  0.4925  0.35
Barbosa 1983   28  0.643  0.0618  0.158  0.484  0.525  0.50
Biret 1990   4  0.7919  0.016  0.143  0.523  0.592  0.55
Blet 2003   8  0.7349  0.0016  0.125  0.518  0.496  0.50
Block 1995   76  0.4275  0.0083  0.0285  0.0279  0.0388  0.02
Blumental 1952   81  0.3763  0.0066  0.0463  0.0447  0.0570  0.04
Boshniakovich 1969   71  0.4442  0.0081  0.0378  0.0377  0.0382  0.03
Brailowsky 1960   69  0.4690  0.0084  0.0288  0.0276  0.0474  0.03
Bunin 1987   20  0.6750  0.0028  0.1024  0.4023  0.3621  0.38
Bunin 1987b   19  0.6786  0.0027  0.0622  0.4123  0.3620  0.38
Chiu 1999   68  0.4910  0.0234  0.0835  0.2418  0.3730  0.30
Cohen 1997   86  0.2820  0.0177  0.0280  0.0257  0.0483  0.03
Cortot 1951   18  0.6755  0.0030  0.1026  0.3720  0.3823  0.37
Csalog 1996   66  0.5030  0.0063  0.0468  0.0441  0.1950  0.09
Czerny 1949   43  0.6024  0.0041  0.0737  0.1943  0.1040  0.14
Czerny 1990   12  0.719  0.0220  0.1014  0.4423  0.2726  0.34
Duchoud 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ezaki 2006   7  0.7436  0.0017  0.167  0.4915  0.3816  0.43
Falvay 1989   64  0.5245  0.0061  0.0371  0.0356  0.0475  0.03
Farrell 1958   36  0.6254  0.0068  0.0457  0.0451  0.0466  0.04
Ferenczy 1958   35  0.6288  0.0029  0.0938  0.1917  0.4034  0.28
Fliere 1977   9  0.736  0.0422  0.0923  0.4031  0.1933  0.28
Fou 1978   74  0.4227  0.0059  0.0369  0.0371  0.0477  0.03
Francois 1956   32  0.6380  0.0044  0.0542  0.1252  0.0554  0.08
Friedman 1923   84  0.3332  0.0065  0.0458  0.0418  0.4144  0.13
Friedman 1923b   82  0.3426  0.0064  0.0465  0.0418  0.4142  0.13
Friedman 1930   72  0.4465  0.0039  0.0740  0.1821  0.3735  0.26
Garcia 2007   70  0.4547  0.0051  0.0462  0.0418  0.3445  0.12
Garcia 2007b   87  0.2284  0.0079  0.0282  0.0255  0.0485  0.03
Gierzod 1998   23  0.6669  0.0035  0.0636  0.2141  0.1339  0.17
Gornostaeva 1994   31  0.6339  0.0047  0.0547  0.0555  0.0472  0.04
Groot 1988   47  0.5959  0.0074  0.0453  0.0472  0.0384  0.03
Harasiewicz 1955   73  0.4256  0.0046  0.0646  0.0650  0.0562  0.05
Hatto 1993   40  0.6160  0.008  0.1419  0.427  0.5212  0.47
Hatto 1997   21  0.675  0.042  0.1410  0.467  0.527  0.49
Horowitz 1949   75  0.4282  0.0078  0.0279  0.0261  0.0478  0.03
Indjic 1988   30  0.6317  0.013  0.1417  0.437  0.5211  0.47
Kapell 1951   5  0.7861  0.0012  0.0916  0.4415  0.4414  0.44
Kissin 1993   67  0.4922  0.0156  0.0467  0.0445  0.1356  0.07
Kushner 1989   10  0.7215  0.0133  0.0828  0.3121  0.3328  0.32
Luisada 1991   33  0.6333  0.0040  0.0639  0.1823  0.3236  0.24
Lushtak 2004   26  0.6534  0.009  0.169  0.4715  0.4413  0.45
Malcuzynski 1961   22  0.6731  0.0048  0.0551  0.0550  0.0559  0.05
Magaloff 1978   45  0.6028  0.0054  0.0459  0.0447  0.0565  0.04
Magin 1975   52  0.5748  0.0050  0.0550  0.0531  0.2148  0.10
Michalowski 1933   63  0.5329  0.0014  0.0920  0.4217  0.4217  0.42
Milkina 1970   44  0.6066  0.0060  0.0374  0.0352  0.0568  0.04
Mohovich 1999   46  0.6043  0.0055  0.0456  0.0461  0.0471  0.04
Moravec 1969   42  0.6070  0.0057  0.0461  0.0434  0.1852  0.08
Morozova 2008   50  0.5978  0.0025  0.0629  0.2931  0.1537  0.21
Neighaus 1950   24  0.6637  0.0037  0.0631  0.2746  0.0643  0.13
Niedzielski 1931   57  0.5544  0.0072  0.0370  0.0326  0.2353  0.08
Ohlsson 1999   1  0.861  0.421  0.422  0.601  0.661  0.63
Osinska 1989   48  0.5971  0.0052  0.0466  0.0462  0.0464  0.04
Pachmann 1927   85  0.3135  0.0082  0.0287  0.0274  0.0387  0.02
Paderewski 1930   55  0.5591  0.0071  0.0373  0.0364  0.0380  0.03
Perlemuter 1992   60  0.5379  0.0045  0.0544  0.1044  0.0949  0.09
Pierdomenico 2008   62  0.5346  0.0070  0.0376  0.0353  0.0476  0.03
Poblocka 1999   6  0.7516  0.0110  0.0911  0.468  0.508  0.48
Rabcewiczowa 1932   34  0.6283  0.0038  0.0734  0.2519  0.3731  0.30
Rachmaninoff 1923   29  0.6412  0.0126  0.0830  0.2917  0.3429  0.31
Rangell 2001   27  0.648  0.0353  0.0464  0.0418  0.2947  0.11
Richter 1976   65  0.5176  0.0062  0.0377  0.0379  0.0379  0.03
Rosen 1989   49  0.597  0.0436  0.0545  0.1039  0.2041  0.14
Rosenthal 1930   41  0.6073  0.0067  0.0549  0.0539  0.1751  0.09
Rosenthal 1931   77  0.4162  0.0085  0.0281  0.0259  0.0481  0.03
Rosenthal 1931b   80  0.3864  0.0086  0.0283  0.0270  0.0390  0.02
Rosenthal 1931c   54  0.5652  0.0069  0.0460  0.0458  0.0473  0.04
Rosenthal 1931d   78  0.4058  0.0087  0.0284  0.0281  0.0289  0.02
Rossi 2007   88  0.2089  0.0075  0.0372  0.0341  0.0858  0.05
Rubinstein 1939   83  0.3451  0.0089  0.0189  0.0162  0.0486  0.02
Rubinstein 1952   79  0.3941  0.0088  0.0286  0.0271  0.0391  0.02
Rubinstein 1966   53  0.5721  0.0176  0.0454  0.0470  0.0469  0.04
Schilhawsky 1960   16  0.6967  0.0019  0.1318  0.4316  0.3819  0.40
Shebanova 2002   51  0.5813  0.0142  0.0541  0.1329  0.2838  0.19
Smith 1975   17  0.6838  0.0015  0.0915  0.4417  0.2824  0.35
Sokolov 2002   2  0.8218  0.017  0.146  0.505  0.514  0.50
Sztompka 1959   25  0.6677  0.0032  0.0827  0.3330  0.3327  0.33
Tomsic 1995   38  0.6187  0.0043  0.0443  0.1149  0.0555  0.07
Uninsky 1932   37  0.6274  0.0023  0.0825  0.3814  0.4418  0.41
Uninsky 1971   13  0.7111  0.0211  0.1112  0.4514  0.4415  0.44
Wasowski 1980   39  0.6125  0.0024  0.0732  0.2516  0.3132  0.28
Zak 1937   58  0.5585  0.0058  0.0452  0.0459  0.0567  0.04
Zak 1951   61  0.5323  0.0049  0.0548  0.0546  0.0660  0.05
Average   3  0.822  0.104  0.131  0.6414  0.3610  0.48
Random 1   90  0.0257  0.0091  0.0191  0.0115  0.3757  0.06
Random 2   91  0.0072  0.0090  0.0190  0.0120  0.3061  0.05
Random 3   89  0.1981  0.0080  0.0375  0.039  0.4646  0.12

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).