Duchoud 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   49  0.255  0.0353  0.0556  0.0580  0.0360  0.04
Anderszewski 2003   50  0.256  0.0326  0.0730  0.4373  0.0429  0.13
Ashkenazy 1981   7  0.3912  0.019  0.0819  0.5033  0.249  0.35
Bacha 2000   9  0.3819  0.0121  0.0920  0.4829  0.306  0.38
Badura 1965   40  0.3016  0.0113  0.0716  0.5330  0.277  0.38
Barbosa 1983   64  0.2185  0.0073  0.0467  0.0488  0.0273  0.03
Biret 1990   53  0.2586  0.0050  0.0560  0.0580  0.0363  0.04
Blet 2003   60  0.2258  0.0058  0.0564  0.0582  0.0357  0.04
Block 1995   77  0.1559  0.0059  0.0650  0.0685  0.0361  0.04
Blumental 1952   85  0.1051  0.0088  0.0289  0.0288  0.0288  0.02
Boshniakovich 1969   24  0.348  0.0240  0.0841  0.2372  0.0343  0.08
Brailowsky 1960   88  0.0674  0.0089  0.0288  0.0287  0.0191  0.01
Bunin 1987   55  0.2438  0.0027  0.0735  0.3755  0.0526  0.14
Bunin 1987b   54  0.2433  0.0025  0.0728  0.4441  0.1313  0.24
Chiu 1999   18  0.3529  0.0014  0.0814  0.5336  0.2010  0.33
Cohen 1997   56  0.2441  0.0052  0.0655  0.0657  0.0451  0.05
Cortot 1951   87  0.0969  0.0086  0.0283  0.0265  0.0390  0.02
Csalog 1996   47  0.2824  0.0033  0.0837  0.3257  0.0528  0.13
Czerny 1949   43  0.2987  0.0049  0.0649  0.0673  0.0359  0.04
Czerny 1990   63  0.2188  0.0070  0.0469  0.0483  0.0375  0.03
Duchoud 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ezaki 2006   57  0.2360  0.0051  0.0748  0.0784  0.0347  0.05
Falvay 1989   52  0.2545  0.0057  0.0654  0.0683  0.0448  0.05
Farrell 1958   14  0.369  0.027  0.1310  0.5747  0.0914  0.23
Ferenczy 1958   83  0.1057  0.0080  0.0281  0.0277  0.0385  0.02
Fliere 1977   23  0.3425  0.0015  0.0915  0.5376  0.0421  0.15
Fou 1978   42  0.2979  0.0056  0.0747  0.0775  0.0449  0.05
Francois 1956   39  0.3035  0.0046  0.0746  0.0763  0.0452  0.05
Friedman 1923   65  0.2075  0.0062  0.0652  0.0672  0.0453  0.05
Friedman 1923b   68  0.2061  0.0061  0.0561  0.0566  0.0462  0.04
Friedman 1930   48  0.2730  0.0045  0.0845  0.1562  0.0541  0.09
Garcia 2007   35  0.3132  0.0034  0.0732  0.4056  0.0525  0.14
Garcia 2007b   15  0.3618  0.0116  0.1013  0.5457  0.0520  0.16
Gierzod 1998   10  0.3880  0.0039  0.1039  0.2772  0.0439  0.10
Gornostaeva 1994   32  0.3254  0.0022  0.0729  0.4372  0.0336  0.11
Groot 1988   46  0.2839  0.0038  0.1236  0.3380  0.0340  0.10
Harasiewicz 1955   72  0.1781  0.0079  0.0376  0.0386  0.0377  0.03
Hatto 1993   37  0.3076  0.0044  0.0743  0.1759  0.0445  0.08
Hatto 1997   36  0.3189  0.0043  0.0742  0.2269  0.0442  0.09
Horowitz 1949   84  0.1070  0.0085  0.0282  0.0283  0.0383  0.02
Indjic 1988   34  0.3182  0.0041  0.0840  0.2560  0.0438  0.10
Kapell 1951   20  0.3577  0.0030  0.0725  0.4454  0.0618  0.16
Kissin 1993   38  0.3062  0.0054  0.0557  0.0564  0.0550  0.05
Kushner 1989   6  0.4028  0.0010  0.089  0.5773  0.0422  0.15
Luisada 1991   75  0.1650  0.0077  0.0285  0.0286  0.0379  0.02
Lushtak 2004   28  0.3314  0.016  0.135  0.5961  0.0516  0.17
Malcuzynski 1961   26  0.344  0.0412  0.0811  0.5547  0.0815  0.21
Magaloff 1978   29  0.3337  0.0042  0.0744  0.1770  0.0346  0.07
Magin 1975   31  0.3243  0.0036  0.0934  0.3980  0.0335  0.11
Michalowski 1933   86  0.1048  0.0065  0.0562  0.0561  0.0356  0.04
Milkina 1970   17  0.3542  0.0023  0.0617  0.5265  0.0519  0.16
Mohovich 1999   45  0.2840  0.0024  0.0631  0.4175  0.0431  0.13
Moravec 1969   69  0.1963  0.0084  0.0279  0.0287  0.0278  0.02
Morozova 2008   12  0.3713  0.015  0.137  0.5840  0.1412  0.28
Neighaus 1950   67  0.2017  0.0163  0.0558  0.0572  0.0364  0.04
Niedzielski 1931   78  0.1571  0.0082  0.0284  0.0284  0.0282  0.02
Ohlsson 1999   1  0.491  0.361  0.352  0.7716  0.481  0.61
Osinska 1989   21  0.3546  0.0028  0.1118  0.5171  0.0423  0.14
Pachmann 1927   13  0.3627  0.0018  0.0726  0.4421  0.445  0.44
Paderewski 1930   79  0.1478  0.0083  0.0377  0.0376  0.0370  0.03
Perlemuter 1992   58  0.2255  0.0064  0.0563  0.0578  0.0354  0.04
Pierdomenico 2008   5  0.4115  0.0111  0.098  0.5716  0.523  0.54
Poblocka 1999   76  0.1683  0.0076  0.0378  0.0386  0.0280  0.02
Rabcewiczowa 1932   27  0.3365  0.0029  0.0722  0.4577  0.0333  0.12
Rachmaninoff 1923   82  0.1266  0.0075  0.0466  0.0485  0.0269  0.03
Rangell 2001   16  0.3610  0.0131  0.0921  0.4755  0.0617  0.17
Richter 1976   44  0.2923  0.0048  0.0653  0.0685  0.0355  0.04
Rosen 1989   2  0.483  0.162  0.341  0.7822  0.402  0.56
Rosenthal 1930   73  0.1756  0.0081  0.0286  0.0287  0.0287  0.02
Rosenthal 1931   81  0.1390  0.0078  0.0280  0.0285  0.0284  0.02
Rosenthal 1931b   70  0.1991  0.0067  0.0373  0.0355  0.0565  0.04
Rosenthal 1931c   59  0.2221  0.0060  0.0565  0.0582  0.0366  0.04
Rosenthal 1931d   74  0.1764  0.0074  0.0371  0.0384  0.0376  0.03
Rossi 2007   22  0.3422  0.0019  0.0827  0.4436  0.1911  0.29
Rubinstein 1939   25  0.3444  0.0020  0.0923  0.4570  0.0427  0.13
Rubinstein 1952   11  0.3834  0.0017  0.1012  0.5476  0.0332  0.13
Rubinstein 1966   19  0.3572  0.0037  0.1433  0.4074  0.0430  0.13
Schilhawsky 1960   51  0.2567  0.0047  0.0559  0.0575  0.0358  0.04
Shebanova 2002   4  0.432  0.163  0.304  0.6626  0.334  0.47
Smith 1975   66  0.2031  0.0066  0.0375  0.0387  0.0281  0.02
Sokolov 2002   41  0.2952  0.0055  0.0651  0.0679  0.0268  0.03
Sztompka 1959   62  0.2153  0.0071  0.0372  0.0386  0.0371  0.03
Tomsic 1995   8  0.397  0.028  0.146  0.5837  0.218  0.35
Uninsky 1932   80  0.1336  0.0069  0.0470  0.0488  0.0274  0.03
Uninsky 1971   61  0.2247  0.0068  0.0468  0.0485  0.0372  0.03
Wasowski 1980   71  0.1820  0.0172  0.0374  0.0385  0.0367  0.03
Zak 1937   33  0.3173  0.0035  0.0838  0.3284  0.0337  0.10
Zak 1951   30  0.3268  0.0032  0.1024  0.4581  0.0334  0.12
Average   3  0.4411  0.014  0.263  0.6682  0.0324  0.14
Random 1   91  -0.0926  0.0091  0.0191  0.0164  0.0389  0.02
Random 2   90  -0.0684  0.0090  0.0190  0.0162  0.0386  0.02
Random 3   89  0.0149  0.0087  0.0287  0.0219  0.3144  0.08

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).