Paderewski 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.2951  0.0039  0.0540  0.1578  0.0337  0.07
Anderszewski 2003   66  0.1667  0.0053  0.0458  0.0479  0.0369  0.03
Ashkenazy 1981   27  0.2552  0.0036  0.0632  0.1985  0.0244  0.06
Bacha 2000   19  0.298  0.0310  0.0916  0.3839  0.2110  0.28
Badura 1965   62  0.1829  0.0062  0.0647  0.0666  0.0447  0.05
Barbosa 1983   77  0.1376  0.0050  0.0459  0.0485  0.0367  0.03
Biret 1990   32  0.2328  0.0033  0.0629  0.2175  0.0332  0.08
Blet 2003   46  0.2177  0.0067  0.0556  0.0569  0.0355  0.04
Block 1995   88  -0.0778  0.0088  0.0287  0.0288  0.0189  0.01
Blumental 1952   79  0.1211  0.0228  0.0638  0.1679  0.0338  0.07
Boshniakovich 1969   2  0.403  0.123  0.242  0.6758  0.0612  0.20
Brailowsky 1960   86  0.0044  0.0086  0.0284  0.0284  0.0278  0.02
Bunin 1987   28  0.2437  0.0057  0.0460  0.0483  0.0374  0.03
Bunin 1987b   43  0.2220  0.0161  0.0550  0.0583  0.0352  0.04
Chiu 1999   70  0.1454  0.0074  0.0376  0.0386  0.0280  0.02
Cohen 1997   50  0.2140  0.0043  0.0643  0.1272  0.0345  0.06
Cortot 1951   44  0.229  0.0316  0.0920  0.3630  0.336  0.34
Csalog 1996   76  0.1455  0.0082  0.0378  0.0387  0.0282  0.02
Czerny 1949   6  0.3516  0.016  0.134  0.6045  0.0911  0.23
Czerny 1990   30  0.247  0.0321  0.0819  0.3672  0.0326  0.10
Duchoud 2007   74  0.1471  0.0078  0.0375  0.0376  0.0371  0.03
Ezaki 2006   83  0.0679  0.0084  0.0281  0.0287  0.0276  0.02
Falvay 1989   75  0.1480  0.0075  0.0557  0.0585  0.0350  0.04
Farrell 1958   41  0.2341  0.0040  0.0636  0.1667  0.0430  0.08
Ferenczy 1958   72  0.1449  0.0073  0.0377  0.0371  0.0470  0.03
Fliere 1977   59  0.1856  0.0066  0.0463  0.0481  0.0361  0.03
Fou 1978   42  0.2218  0.0123  0.0824  0.3367  0.0420  0.11
Francois 1956   5  0.352  0.192  0.216  0.5817  0.403  0.48
Friedman 1923   53  0.2059  0.0045  0.0646  0.0652  0.0548  0.05
Friedman 1923b   49  0.2160  0.0044  0.0642  0.1378  0.0440  0.07
Friedman 1930   55  0.1950  0.0058  0.0466  0.0463  0.0457  0.04
Garcia 2007   14  0.3114  0.0215  0.0818  0.3738  0.229  0.29
Garcia 2007b   20  0.2863  0.0018  0.0813  0.4362  0.0515  0.15
Gierzod 1998   10  0.3381  0.0013  0.1012  0.4477  0.0324  0.11
Gornostaeva 1994   25  0.2564  0.0020  0.1021  0.3580  0.0325  0.10
Groot 1988   61  0.1868  0.0063  0.0464  0.0475  0.0458  0.04
Harasiewicz 1955   37  0.2338  0.0048  0.0552  0.0567  0.0459  0.04
Hatto 1993   52  0.2142  0.0024  0.0922  0.3569  0.0419  0.12
Hatto 1997   38  0.235  0.059  0.1010  0.4883  0.0318  0.12
Horowitz 1949   57  0.1945  0.0070  0.0469  0.0473  0.0454  0.04
Indjic 1988   47  0.2127  0.0022  0.1017  0.3884  0.0323  0.11
Kapell 1951   39  0.2348  0.0052  0.0465  0.0481  0.0363  0.03
Kissin 1993   45  0.2257  0.0046  0.0745  0.0754  0.0643  0.06
Kushner 1989   15  0.3061  0.0019  0.1014  0.4268  0.0416  0.13
Luisada 1991   56  0.1926  0.0032  0.0641  0.1364  0.0433  0.07
Lushtak 2004   73  0.1469  0.0069  0.0470  0.0485  0.0372  0.03
Malcuzynski 1961   9  0.3343  0.0014  0.0815  0.3971  0.0321  0.11
Magaloff 1978   54  0.2047  0.0030  0.0627  0.2486  0.0234  0.07
Magin 1975   23  0.2782  0.0041  0.0544  0.1287  0.0246  0.05
Michalowski 1933   11  0.3317  0.0126  0.0828  0.2113  0.468  0.31
Milkina 1970   36  0.2365  0.0054  0.0549  0.0586  0.0265  0.03
Mohovich 1999   84  0.0483  0.0080  0.0283  0.0287  0.0286  0.02
Moravec 1969   67  0.1584  0.0064  0.0371  0.0382  0.0277  0.02
Morozova 2008   33  0.2366  0.0059  0.0554  0.0575  0.0356  0.04
Neighaus 1950   3  0.394  0.074  0.333  0.6612  0.502  0.57
Niedzielski 1931   48  0.2119  0.0160  0.0555  0.0572  0.0451  0.04
Ohlsson 1999   24  0.2532  0.0055  0.0462  0.0478  0.0366  0.03
Osinska 1989   40  0.2313  0.0256  0.0551  0.0585  0.0349  0.04
Pachmann 1927   7  0.3412  0.0211  0.0923  0.3429  0.345  0.34
Paderewski 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Perlemuter 1992   18  0.2936  0.0034  0.0535  0.1764  0.0428  0.08
Pierdomenico 2008   1  0.451  0.221  0.221  0.676  0.611  0.64
Poblocka 1999   85  0.0087  0.0085  0.0286  0.0286  0.0279  0.02
Rabcewiczowa 1932   21  0.2821  0.0127  0.0633  0.1887  0.0242  0.06
Rachmaninoff 1923   82  0.0858  0.0065  0.0461  0.0478  0.0362  0.03
Rangell 2001   12  0.3223  0.008  0.137  0.5651  0.0613  0.18
Richter 1976   16  0.3030  0.0025  0.0726  0.2774  0.0327  0.09
Rosen 1989   31  0.2439  0.0068  0.0468  0.0486  0.0373  0.03
Rosenthal 1930   71  0.1472  0.0072  0.0373  0.0383  0.0285  0.02
Rosenthal 1931   78  0.1373  0.0079  0.0379  0.0380  0.0368  0.03
Rosenthal 1931b   63  0.1762  0.0071  0.0372  0.0385  0.0288  0.02
Rosenthal 1931c   69  0.1574  0.0076  0.0380  0.0382  0.0375  0.03
Rosenthal 1931d   68  0.1588  0.0077  0.0374  0.0387  0.0287  0.02
Rossi 2007   4  0.386  0.045  0.205  0.5924  0.334  0.44
Rubinstein 1939   13  0.3135  0.0017  0.079  0.5180  0.0317  0.12
Rubinstein 1952   64  0.1789  0.0047  0.0548  0.0581  0.0360  0.04
Rubinstein 1966   35  0.2370  0.0038  0.0539  0.1683  0.0335  0.07
Schilhawsky 1960   26  0.2533  0.0037  0.0631  0.1979  0.0331  0.08
Shebanova 2002   81  0.0990  0.0081  0.0285  0.0284  0.0383  0.02
Smith 1975   65  0.1622  0.0131  0.0634  0.1771  0.0429  0.08
Sokolov 2002   34  0.2353  0.0035  0.0530  0.2082  0.0241  0.06
Sztompka 1959   8  0.3415  0.017  0.138  0.5341  0.207  0.33
Tomsic 1995   80  0.1185  0.0083  0.0282  0.0285  0.0281  0.02
Uninsky 1932   58  0.1846  0.0042  0.0637  0.1676  0.0336  0.07
Uninsky 1971   29  0.2431  0.0029  0.0725  0.3174  0.0422  0.11
Wasowski 1980   22  0.2710  0.0312  0.0811  0.4460  0.0614  0.16
Zak 1937   60  0.1825  0.0051  0.0467  0.0487  0.0364  0.03
Zak 1951   51  0.2124  0.0049  0.0553  0.0581  0.0353  0.04
Random 1   90  -0.1086  0.0089  0.0189  0.0174  0.0290  0.01
Random 2   89  -0.1034  0.0090  0.0190  0.0164  0.0384  0.02
Random 3   87  -0.0375  0.0087  0.0288  0.0221  0.2839  0.07

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).