Duchoud 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.664  0.046  0.084  0.4540  0.1921  0.29
Anderszewski 2003   20  0.6060  0.0019  0.0825  0.3320  0.2917  0.31
Ashkenazy 1981   3  0.722  0.083  0.442  0.666  0.512  0.58
Bacha 2000   47  0.5441  0.0055  0.0468  0.0449  0.0653  0.05
Badura 1965   44  0.5676  0.0032  0.0928  0.3229  0.3214  0.32
Barbosa 1983   54  0.515  0.0223  0.0638  0.1636  0.1830  0.17
Biret 1990   7  0.6515  0.0120  0.1118  0.3836  0.1923  0.27
Blet 2003   27  0.5852  0.0034  0.0827  0.3253  0.0535  0.13
Block 1995   71  0.4554  0.0071  0.0471  0.0469  0.0383  0.03
Blumental 1952   74  0.4350  0.0063  0.0470  0.0479  0.0284  0.03
Boshniakovich 1969   52  0.5263  0.0064  0.0462  0.0465  0.0469  0.04
Brailowsky 1960   70  0.4570  0.0079  0.0464  0.0476  0.0460  0.04
Bunin 1987   24  0.5972  0.0037  0.1423  0.3420  0.399  0.36
Bunin 1987b   26  0.5873  0.0036  0.1122  0.3521  0.398  0.37
Chiu 1999   57  0.5030  0.0038  0.0637  0.1637  0.1829  0.17
Cohen 1997   86  0.3213  0.0177  0.0472  0.0477  0.0385  0.03
Cortot 1951   12  0.6322  0.0018  0.0713  0.4014  0.415  0.40
Csalog 1996   79  0.3981  0.0052  0.0458  0.0454  0.0567  0.04
Czerny 1949   34  0.576  0.0225  0.0533  0.2858  0.0537  0.12
Czerny 1990   23  0.5923  0.0040  0.0539  0.1559  0.0448  0.08
Duchoud 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ezaki 2006   10  0.6351  0.0027  0.0630  0.3243  0.0928  0.17
Falvay 1989   76  0.4280  0.0080  0.0381  0.0374  0.0474  0.03
Farrell 1958   40  0.5610  0.0257  0.0459  0.0473  0.0462  0.04
Ferenczy 1958   60  0.4985  0.0051  0.0551  0.0560  0.0468  0.04
Fliere 1977   4  0.6655  0.007  0.0814  0.3950  0.0533  0.14
Fou 1978   53  0.5242  0.0058  0.0554  0.0580  0.0463  0.04
Francois 1956   55  0.5164  0.0056  0.0465  0.0462  0.0471  0.04
Friedman 1923   78  0.4043  0.0069  0.0549  0.0540  0.1644  0.09
Friedman 1923b   77  0.4068  0.0068  0.0457  0.0441  0.1547  0.08
Friedman 1930   72  0.4420  0.0061  0.0375  0.0379  0.0482  0.03
Garcia 2007   46  0.5584  0.0035  0.1035  0.2324  0.3322  0.28
Garcia 2007b   75  0.4279  0.0062  0.0455  0.0473  0.0388  0.03
Gierzod 1998   13  0.6349  0.0029  0.0632  0.2848  0.0538  0.12
Gornostaeva 1994   33  0.579  0.0241  0.0636  0.1742  0.1036  0.13
Groot 1988   37  0.5721  0.0024  0.0641  0.1568  0.0449  0.08
Harasiewicz 1955   51  0.5259  0.0028  0.0729  0.3252  0.0440  0.11
Hatto 1993   42  0.5667  0.0017  0.0919  0.3619  0.2915  0.32
Hatto 1997   21  0.6047  0.009  0.0712  0.4019  0.3111  0.35
Horowitz 1949   59  0.5033  0.0067  0.0373  0.0345  0.0757  0.05
Indjic 1988   30  0.5861  0.0011  0.0616  0.3819  0.3210  0.35
Kapell 1951   8  0.6540  0.0010  0.078  0.4234  0.2020  0.29
Kissin 1993   58  0.5066  0.0066  0.0460  0.0462  0.0466  0.04
Kushner 1989   9  0.6314  0.0133  0.0834  0.2650  0.0539  0.11
Luisada 1991   41  0.5629  0.0048  0.0546  0.0569  0.0459  0.04
Lushtak 2004   25  0.5831  0.0014  0.0711  0.4046  0.0632  0.15
Malcuzynski 1961   43  0.5626  0.0053  0.0461  0.0474  0.0377  0.03
Magaloff 1978   66  0.4745  0.0073  0.0377  0.0387  0.0289  0.02
Magin 1975   15  0.6253  0.0012  0.0615  0.3822  0.2813  0.33
Michalowski 1933   48  0.5412  0.014  0.106  0.4215  0.424  0.42
Milkina 1970   35  0.5783  0.0059  0.0552  0.0583  0.0464  0.04
Mohovich 1999   31  0.5816  0.0144  0.0544  0.1054  0.0551  0.07
Moravec 1969   69  0.4717  0.0178  0.0469  0.0462  0.0458  0.04
Morozova 2008   32  0.5744  0.0031  0.0721  0.3543  0.0831  0.17
Neighaus 1950   11  0.6375  0.0013  0.0717  0.3844  0.0927  0.18
Niedzielski 1931   68  0.4728  0.0074  0.0374  0.0358  0.0476  0.03
Ohlsson 1999   1  0.801  0.561  0.561  0.732  0.621  0.67
Osinska 1989   50  0.5318  0.0060  0.0463  0.0477  0.0372  0.03
Pachmann 1927   83  0.3787  0.0081  0.0383  0.0367  0.0479  0.03
Paderewski 1930   67  0.4786  0.0076  0.0467  0.0488  0.0278  0.03
Perlemuter 1992   49  0.5477  0.0046  0.0645  0.0664  0.0454  0.05
Pierdomenico 2008   64  0.4839  0.0054  0.0466  0.0439  0.1545  0.08
Poblocka 1999   14  0.6358  0.008  0.067  0.4229  0.2316  0.31
Rabcewiczowa 1932   56  0.5132  0.0065  0.0550  0.0573  0.0361  0.04
Rachmaninoff 1923   17  0.6011  0.0126  0.0620  0.3627  0.2319  0.29
Rangell 2001   29  0.588  0.0243  0.0542  0.129  0.4425  0.23
Richter 1976   61  0.4989  0.0049  0.0547  0.0533  0.1941  0.10
Rosen 1989   38  0.5734  0.0042  0.0740  0.1567  0.0446  0.08
Rosenthal 1930   65  0.4837  0.0050  0.0456  0.0434  0.2043  0.09
Rosenthal 1931   81  0.3890  0.0082  0.0382  0.0359  0.0480  0.03
Rosenthal 1931b   84  0.3556  0.0085  0.0286  0.0271  0.0390  0.02
Rosenthal 1931c   73  0.4462  0.0075  0.0376  0.0352  0.0486  0.03
Rosenthal 1931d   82  0.3748  0.0086  0.0384  0.0364  0.0570  0.04
Rossi 2007   87  0.2574  0.0087  0.0380  0.0373  0.0473  0.03
Rubinstein 1939   80  0.3824  0.0084  0.0287  0.0261  0.0475  0.03
Rubinstein 1952   85  0.3535  0.0083  0.0288  0.0273  0.0487  0.03
Rubinstein 1966   62  0.4925  0.0072  0.0379  0.0368  0.0481  0.03
Schilhawsky 1960   22  0.6027  0.0015  0.0810  0.4235  0.2712  0.34
Shebanova 2002   19  0.607  0.0222  0.0531  0.3134  0.1824  0.24
Smith 1975   16  0.6219  0.0021  0.0726  0.3333  0.1526  0.22
Sokolov 2002   2  0.763  0.052  0.323  0.551  0.573  0.56
Sztompka 1959   5  0.6646  0.005  0.085  0.4524  0.326  0.38
Tomsic 1995   63  0.4938  0.0070  0.0378  0.0349  0.0565  0.04
Uninsky 1932   28  0.5869  0.0030  0.0724  0.3430  0.2918  0.31
Uninsky 1971   18  0.6057  0.0016  0.099  0.4228  0.347  0.38
Wasowski 1980   36  0.5736  0.0039  0.0543  0.1078  0.0452  0.06
Zak 1937   39  0.5671  0.0047  0.0553  0.0565  0.0555  0.05
Zak 1951   45  0.5665  0.0045  0.0548  0.0565  0.0556  0.05
Random 1   90  -0.0782  0.0090  0.0190  0.0112  0.4350  0.07
Random 2   89  -0.0188  0.0089  0.0289  0.029  0.4042  0.09
Random 3   88  0.1578  0.0088  0.0385  0.031  0.7034  0.14

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).