Duchoud 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.7048  0.0020  0.0920  0.4116  0.3421  0.37
Anderszewski 2003   14  0.7014  0.0112  0.0812  0.458  0.529  0.48
Ashkenazy 1981   10  0.722  0.084  0.143  0.525  0.513  0.51
Bacha 2000   58  0.5467  0.0072  0.0454  0.0449  0.0657  0.05
Badura 1965   55  0.5540  0.0030  0.0732  0.259  0.4924  0.35
Barbosa 1983   27  0.643  0.0617  0.157  0.483  0.525  0.50
Biret 1990   3  0.7917  0.015  0.142  0.522  0.592  0.55
Blet 2003   7  0.7349  0.0015  0.124  0.517  0.496  0.50
Block 1995   75  0.4274  0.0082  0.0284  0.0278  0.0387  0.02
Blumental 1952   80  0.3762  0.0065  0.0462  0.0446  0.0662  0.05
Boshniakovich 1969   70  0.4442  0.0080  0.0377  0.0376  0.0382  0.03
Brailowsky 1960   68  0.4689  0.0083  0.0287  0.0275  0.0473  0.03
Bunin 1987   19  0.6751  0.0027  0.1023  0.4022  0.3620  0.38
Bunin 1987b   18  0.6783  0.0026  0.0621  0.4122  0.3619  0.38
Chiu 1999   67  0.499  0.0233  0.0834  0.2417  0.3729  0.30
Cohen 1997   85  0.2822  0.0176  0.0279  0.0256  0.0483  0.03
Cortot 1951   17  0.6755  0.0029  0.1025  0.3719  0.3822  0.37
Csalog 1996   65  0.5034  0.0062  0.0467  0.0440  0.1949  0.09
Czerny 1949   42  0.6025  0.0040  0.0836  0.1942  0.1039  0.14
Czerny 1990   11  0.714  0.0519  0.1013  0.4422  0.2725  0.34
Duchoud 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ezaki 2006   6  0.7410  0.0216  0.166  0.4914  0.3815  0.43
Falvay 1989   63  0.5246  0.0060  0.0370  0.0355  0.0474  0.03
Farrell 1958   35  0.6254  0.0067  0.0456  0.0450  0.0466  0.04
Ferenczy 1958   34  0.6287  0.0028  0.0937  0.1917  0.4033  0.28
Fliere 1977   8  0.735  0.0421  0.0922  0.4030  0.1932  0.28
Fou 1978   73  0.4229  0.0058  0.0368  0.0370  0.0477  0.03
Francois 1956   31  0.6379  0.0043  0.0541  0.1251  0.0553  0.08
Friedman 1923   83  0.3336  0.0064  0.0457  0.0418  0.4143  0.13
Friedman 1923b   81  0.3428  0.0063  0.0464  0.0418  0.4141  0.13
Friedman 1930   71  0.4464  0.0038  0.0739  0.1820  0.3734  0.26
Garcia 2007   69  0.4550  0.0050  0.0461  0.0417  0.3444  0.12
Garcia 2007b   86  0.2284  0.0078  0.0281  0.0254  0.0485  0.03
Gierzod 1998   22  0.6668  0.0034  0.0635  0.2140  0.1338  0.17
Gornostaeva 1994   30  0.6330  0.0046  0.0546  0.0554  0.0471  0.04
Groot 1988   46  0.5956  0.0073  0.0452  0.0471  0.0384  0.03
Harasiewicz 1955   72  0.4243  0.0045  0.0645  0.0649  0.0563  0.05
Hatto 1993   39  0.6159  0.007  0.1518  0.426  0.5211  0.47
Hatto 1997   20  0.676  0.042  0.159  0.466  0.527  0.49
Horowitz 1949   74  0.4281  0.0077  0.0278  0.0260  0.0478  0.03
Indjic 1988   29  0.6320  0.013  0.1416  0.436  0.5210  0.47
Kapell 1951   4  0.7860  0.0011  0.0915  0.4414  0.4413  0.44
Kissin 1993   66  0.4924  0.0155  0.0466  0.0444  0.1355  0.07
Kushner 1989   9  0.7215  0.0132  0.0827  0.3120  0.3327  0.32
Luisada 1991   32  0.6337  0.0039  0.0638  0.1822  0.3235  0.24
Lushtak 2004   25  0.6519  0.018  0.168  0.4714  0.4412  0.45
Malcuzynski 1961   21  0.6732  0.0047  0.0550  0.0549  0.0559  0.05
Magaloff 1978   44  0.6026  0.0053  0.0458  0.0446  0.0565  0.04
Magin 1975   51  0.5735  0.0049  0.0549  0.0530  0.2147  0.10
Michalowski 1933   62  0.5333  0.0013  0.0919  0.4217  0.4216  0.42
Milkina 1970   43  0.6065  0.0059  0.0373  0.0351  0.0568  0.04
Mohovich 1999   45  0.6044  0.0054  0.0455  0.0460  0.0470  0.04
Moravec 1969   41  0.6069  0.0056  0.0460  0.0433  0.1851  0.08
Morozova 2008   49  0.5977  0.0024  0.0628  0.2930  0.1536  0.21
Neighaus 1950   23  0.6631  0.0036  0.0630  0.2745  0.0642  0.13
Niedzielski 1931   56  0.5545  0.0071  0.0369  0.0325  0.2352  0.08
Ohlsson 1999   1  0.861  0.421  0.421  0.601  0.661  0.63
Osinska 1989   47  0.5970  0.0051  0.0465  0.0461  0.0464  0.04
Pachmann 1927   84  0.3138  0.0081  0.0286  0.0273  0.0386  0.02
Paderewski 1930   54  0.5590  0.0070  0.0372  0.0363  0.0380  0.03
Perlemuter 1992   59  0.5378  0.0044  0.0543  0.1043  0.0948  0.09
Pierdomenico 2008   61  0.5347  0.0069  0.0375  0.0352  0.0475  0.03
Poblocka 1999   5  0.7516  0.019  0.0910  0.467  0.508  0.48
Rabcewiczowa 1932   33  0.6282  0.0037  0.0733  0.2518  0.3730  0.30
Rachmaninoff 1923   28  0.6411  0.0225  0.0829  0.2916  0.3428  0.31
Rangell 2001   26  0.648  0.0352  0.0463  0.0417  0.2946  0.11
Richter 1976   64  0.5175  0.0061  0.0376  0.0378  0.0379  0.03
Rosen 1989   48  0.597  0.0435  0.0544  0.1038  0.2040  0.14
Rosenthal 1930   40  0.6072  0.0066  0.0548  0.0538  0.1750  0.09
Rosenthal 1931   76  0.4161  0.0084  0.0280  0.0258  0.0481  0.03
Rosenthal 1931b   79  0.3863  0.0085  0.0282  0.0269  0.0389  0.02
Rosenthal 1931c   53  0.5653  0.0068  0.0459  0.0457  0.0472  0.04
Rosenthal 1931d   77  0.4058  0.0086  0.0283  0.0280  0.0288  0.02
Rossi 2007   87  0.2088  0.0074  0.0371  0.0340  0.0858  0.05
Rubinstein 1939   82  0.3452  0.0088  0.0288  0.0261  0.0476  0.03
Rubinstein 1952   78  0.3941  0.0087  0.0285  0.0270  0.0390  0.02
Rubinstein 1966   52  0.5723  0.0175  0.0453  0.0469  0.0469  0.04
Schilhawsky 1960   15  0.6966  0.0018  0.1317  0.4315  0.3818  0.40
Shebanova 2002   50  0.5813  0.0141  0.0540  0.1328  0.2837  0.19
Smith 1975   16  0.6839  0.0014  0.0914  0.4416  0.2823  0.35
Sokolov 2002   2  0.8221  0.016  0.145  0.504  0.514  0.50
Sztompka 1959   24  0.6676  0.0031  0.0826  0.3329  0.3326  0.33
Tomsic 1995   37  0.6186  0.0042  0.0542  0.1148  0.0554  0.07
Uninsky 1932   36  0.6273  0.0022  0.0824  0.3813  0.4417  0.41
Uninsky 1971   12  0.7112  0.0210  0.1111  0.4513  0.4414  0.44
Wasowski 1980   38  0.6127  0.0023  0.0731  0.2515  0.3131  0.28
Zak 1937   57  0.5585  0.0057  0.0451  0.0458  0.0567  0.04
Zak 1951   60  0.5318  0.0148  0.0547  0.0545  0.0660  0.05
Random 1   89  0.0257  0.0090  0.0190  0.0116  0.3556  0.06
Random 2   90  0.0071  0.0089  0.0189  0.0119  0.2961  0.05
Random 3   88  0.1980  0.0079  0.0374  0.039  0.4545  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).