Duchoud 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   48  0.255  0.0352  0.0555  0.0579  0.0359  0.04
Anderszewski 2003   49  0.256  0.0325  0.0729  0.4372  0.0428  0.13
Ashkenazy 1981   6  0.3912  0.018  0.0818  0.5032  0.249  0.35
Bacha 2000   8  0.3818  0.0120  0.0919  0.4828  0.306  0.38
Badura 1965   39  0.3015  0.0112  0.0815  0.5329  0.277  0.38
Barbosa 1983   63  0.2184  0.0072  0.0466  0.0487  0.0272  0.03
Biret 1990   52  0.2585  0.0049  0.0559  0.0579  0.0362  0.04
Blet 2003   59  0.2257  0.0057  0.0563  0.0581  0.0356  0.04
Block 1995   76  0.1558  0.0058  0.0649  0.0684  0.0360  0.04
Blumental 1952   84  0.1050  0.0087  0.0288  0.0287  0.0287  0.02
Boshniakovich 1969   23  0.348  0.0239  0.0840  0.2371  0.0342  0.08
Brailowsky 1960   87  0.0673  0.0088  0.0287  0.0286  0.0190  0.01
Bunin 1987   54  0.2438  0.0026  0.0734  0.3754  0.0525  0.14
Bunin 1987b   53  0.2431  0.0024  0.0727  0.4440  0.1313  0.24
Chiu 1999   17  0.3528  0.0013  0.0813  0.5335  0.2010  0.33
Cohen 1997   55  0.2440  0.0051  0.0654  0.0656  0.0450  0.05
Cortot 1951   86  0.0959  0.0085  0.0282  0.0264  0.0389  0.02
Csalog 1996   46  0.2823  0.0032  0.0836  0.3256  0.0527  0.13
Czerny 1949   42  0.2986  0.0048  0.0648  0.0672  0.0358  0.04
Czerny 1990   62  0.2187  0.0069  0.0468  0.0482  0.0374  0.03
Duchoud 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ezaki 2006   56  0.2360  0.0050  0.0747  0.0783  0.0346  0.05
Falvay 1989   51  0.2545  0.0056  0.0653  0.0682  0.0447  0.05
Farrell 1958   13  0.369  0.026  0.139  0.5746  0.0914  0.23
Ferenczy 1958   82  0.1056  0.0079  0.0280  0.0276  0.0384  0.02
Fliere 1977   22  0.3424  0.0014  0.0914  0.5375  0.0421  0.15
Fou 1978   41  0.2978  0.0055  0.0746  0.0774  0.0448  0.05
Francois 1956   38  0.3034  0.0045  0.0745  0.0762  0.0451  0.05
Friedman 1923   64  0.2074  0.0061  0.0651  0.0671  0.0452  0.05
Friedman 1923b   67  0.2061  0.0060  0.0560  0.0565  0.0461  0.04
Friedman 1930   47  0.2729  0.0044  0.0844  0.1561  0.0540  0.09
Garcia 2007   34  0.3132  0.0033  0.0731  0.4055  0.0524  0.14
Garcia 2007b   14  0.3616  0.0115  0.1012  0.5456  0.0520  0.16
Gierzod 1998   9  0.3879  0.0038  0.1038  0.2771  0.0438  0.10
Gornostaeva 1994   31  0.3253  0.0021  0.0728  0.4371  0.0335  0.11
Groot 1988   45  0.2836  0.0037  0.1235  0.3379  0.0339  0.10
Harasiewicz 1955   71  0.1780  0.0078  0.0375  0.0385  0.0376  0.03
Hatto 1993   36  0.3075  0.0043  0.0742  0.1758  0.0444  0.08
Hatto 1997   35  0.3188  0.0042  0.0741  0.2268  0.0441  0.09
Horowitz 1949   83  0.1069  0.0084  0.0281  0.0282  0.0382  0.02
Indjic 1988   33  0.3181  0.0040  0.0839  0.2559  0.0437  0.10
Kapell 1951   19  0.3576  0.0029  0.0824  0.4453  0.0618  0.16
Kissin 1993   37  0.3062  0.0053  0.0556  0.0563  0.0549  0.05
Kushner 1989   5  0.4027  0.009  0.088  0.5772  0.0422  0.15
Luisada 1991   74  0.1649  0.0076  0.0284  0.0285  0.0378  0.02
Lushtak 2004   27  0.3313  0.015  0.134  0.5960  0.0516  0.17
Malcuzynski 1961   25  0.344  0.0411  0.0810  0.5546  0.0915  0.22
Magaloff 1978   28  0.3337  0.0041  0.0743  0.1769  0.0345  0.07
Magin 1975   30  0.3243  0.0035  0.0933  0.3979  0.0334  0.11
Michalowski 1933   85  0.1047  0.0064  0.0561  0.0560  0.0355  0.04
Milkina 1970   16  0.3541  0.0022  0.0716  0.5264  0.0519  0.16
Mohovich 1999   44  0.2839  0.0023  0.0730  0.4174  0.0430  0.13
Moravec 1969   68  0.1963  0.0083  0.0278  0.0286  0.0277  0.02
Morozova 2008   11  0.3711  0.014  0.136  0.5839  0.1412  0.28
Neighaus 1950   66  0.2017  0.0162  0.0557  0.0571  0.0363  0.04
Niedzielski 1931   77  0.1570  0.0081  0.0283  0.0283  0.0281  0.02
Ohlsson 1999   1  0.491  0.361  0.362  0.7715  0.481  0.61
Osinska 1989   20  0.3542  0.0027  0.1117  0.5170  0.0423  0.14
Pachmann 1927   12  0.3626  0.0017  0.0725  0.4420  0.445  0.44
Paderewski 1930   78  0.1477  0.0082  0.0376  0.0375  0.0369  0.03
Perlemuter 1992   57  0.2254  0.0063  0.0562  0.0577  0.0353  0.04
Pierdomenico 2008   4  0.4114  0.0110  0.097  0.5715  0.523  0.54
Poblocka 1999   75  0.1682  0.0075  0.0377  0.0385  0.0279  0.02
Rabcewiczowa 1932   26  0.3365  0.0028  0.0721  0.4576  0.0332  0.12
Rachmaninoff 1923   81  0.1266  0.0074  0.0465  0.0484  0.0268  0.03
Rangell 2001   15  0.3610  0.0130  0.0920  0.4754  0.0617  0.17
Richter 1976   43  0.2922  0.0047  0.0652  0.0684  0.0354  0.04
Rosen 1989   2  0.483  0.162  0.371  0.7821  0.402  0.56
Rosenthal 1930   72  0.1755  0.0080  0.0285  0.0286  0.0286  0.02
Rosenthal 1931   80  0.1389  0.0077  0.0279  0.0284  0.0283  0.02
Rosenthal 1931b   69  0.1990  0.0066  0.0372  0.0354  0.0564  0.04
Rosenthal 1931c   58  0.2220  0.0059  0.0564  0.0581  0.0365  0.04
Rosenthal 1931d   73  0.1764  0.0073  0.0470  0.0483  0.0375  0.03
Rossi 2007   21  0.3421  0.0018  0.0826  0.4435  0.1911  0.29
Rubinstein 1939   24  0.3444  0.0019  0.0922  0.4569  0.0426  0.13
Rubinstein 1952   10  0.3833  0.0016  0.1011  0.5475  0.0331  0.13
Rubinstein 1966   18  0.3571  0.0036  0.1432  0.4073  0.0429  0.13
Schilhawsky 1960   50  0.2567  0.0046  0.0558  0.0574  0.0357  0.04
Shebanova 2002   3  0.432  0.163  0.353  0.6625  0.334  0.47
Smith 1975   65  0.2030  0.0065  0.0374  0.0386  0.0280  0.02
Sokolov 2002   40  0.2951  0.0054  0.0650  0.0678  0.0267  0.03
Sztompka 1959   61  0.2152  0.0070  0.0371  0.0385  0.0370  0.03
Tomsic 1995   7  0.397  0.027  0.155  0.5836  0.218  0.35
Uninsky 1932   79  0.1335  0.0068  0.0469  0.0487  0.0273  0.03
Uninsky 1971   60  0.2246  0.0067  0.0467  0.0484  0.0371  0.03
Wasowski 1980   70  0.1819  0.0171  0.0373  0.0384  0.0366  0.03
Zak 1937   32  0.3172  0.0034  0.0837  0.3283  0.0336  0.10
Zak 1951   29  0.3268  0.0031  0.1023  0.4580  0.0333  0.12
Random 1   90  -0.0925  0.0090  0.0190  0.0163  0.0388  0.02
Random 2   89  -0.0683  0.0089  0.0189  0.0161  0.0385  0.02
Random 3   88  0.0148  0.0086  0.0286  0.0220  0.2943  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).