Schilhawsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   49  0.4446  0.0057  0.0554  0.0564  0.0465  0.04
Anderszewski 2003   24  0.501  0.211  0.2112  0.4918  0.468  0.47
Ashkenazy 1981   14  0.5465  0.0014  0.1013  0.4737  0.1720  0.28
Bacha 2000   63  0.3736  0.0063  0.0369  0.0349  0.0656  0.04
Badura 1965   53  0.4124  0.0051  0.0649  0.0636  0.1944  0.11
Barbosa 1983   15  0.5422  0.0122  0.0818  0.3922  0.4213  0.40
Biret 1990   39  0.4654  0.0032  0.0631  0.2429  0.2625  0.25
Blet 2003   16  0.5326  0.0018  0.0720  0.3723  0.3516  0.36
Block 1995   55  0.4021  0.0129  0.0641  0.1746  0.0448  0.08
Blumental 1952   66  0.3720  0.0150  0.0555  0.0525  0.2545  0.11
Boshniakovich 1969   40  0.4517  0.0131  0.0738  0.1840  0.1634  0.17
Brailowsky 1960   56  0.4038  0.0070  0.0375  0.0378  0.0371  0.03
Bunin 1987   2  0.616  0.053  0.162  0.625  0.563  0.59
Bunin 1987b   3  0.613  0.094  0.283  0.625  0.562  0.59
Chiu 1999   50  0.4233  0.0053  0.0647  0.0661  0.0454  0.05
Cohen 1997   86  0.2376  0.0085  0.0370  0.0364  0.0481  0.03
Cortot 1951   34  0.4751  0.0045  0.0648  0.0625  0.3240  0.14
Csalog 1996   65  0.3769  0.0071  0.0381  0.0348  0.0755  0.05
Czerny 1949   42  0.4590  0.0049  0.0552  0.0546  0.0751  0.06
Czerny 1990   28  0.4857  0.0039  0.0829  0.2753  0.0542  0.12
Duchoud 2007   35  0.4670  0.0042  0.0642  0.1637  0.1933  0.17
Ezaki 2006   23  0.5166  0.0038  0.0827  0.2866  0.0443  0.11
Falvay 1989   57  0.4044  0.0066  0.0373  0.0379  0.0372  0.03
Farrell 1958   59  0.3971  0.0065  0.0372  0.0377  0.0373  0.03
Ferenczy 1958   29  0.4861  0.0036  0.0625  0.3215  0.4414  0.38
Fliere 1977   12  0.5464  0.0033  0.0628  0.2849  0.0641  0.13
Fou 1978   71  0.3552  0.0077  0.0463  0.0465  0.0459  0.04
Francois 1956   19  0.5250  0.0035  0.0636  0.2041  0.1536  0.17
Friedman 1923   80  0.3329  0.0054  0.0746  0.0716  0.3839  0.16
Friedman 1923b   72  0.3518  0.0152  0.0745  0.0716  0.4035  0.17
Friedman 1930   31  0.4713  0.0125  0.1116  0.4114  0.4912  0.45
Garcia 2007   83  0.2437  0.0069  0.0380  0.0343  0.1152  0.06
Garcia 2007b   85  0.2339  0.0079  0.0377  0.0358  0.0485  0.03
Gierzod 1998   17  0.5340  0.0034  0.0630  0.2641  0.1038  0.16
Gornostaeva 1994   46  0.4458  0.0073  0.0379  0.0377  0.0382  0.03
Groot 1988   20  0.5272  0.0040  0.0839  0.1874  0.0350  0.07
Harasiewicz 1955   8  0.5514  0.0110  0.127  0.5229  0.2417  0.35
Hatto 1993   76  0.3359  0.0017  0.0737  0.2034  0.1932  0.19
Hatto 1997   64  0.3716  0.0111  0.1032  0.2425  0.2922  0.26
Horowitz 1949   9  0.554  0.0813  0.106  0.5210  0.419  0.46
Indjic 1988   73  0.3442  0.0016  0.0935  0.2124  0.2826  0.24
Kapell 1951   1  0.642  0.192  0.281  0.657  0.531  0.59
Kissin 1993   61  0.3877  0.0072  0.0378  0.0379  0.0375  0.03
Kushner 1989   32  0.4732  0.0055  0.0459  0.0462  0.0460  0.04
Luisada 1991   58  0.3986  0.0067  0.0366  0.0383  0.0370  0.03
Lushtak 2004   4  0.585  0.065  0.275  0.5714  0.484  0.52
Malcuzynski 1961   6  0.5730  0.0015  0.1214  0.4340  0.1524  0.25
Magaloff 1978   21  0.5115  0.0128  0.0923  0.3459  0.0346  0.10
Magin 1975   70  0.3582  0.0047  0.0557  0.0572  0.0357  0.04
Michalowski 1933   38  0.4610  0.0212  0.099  0.519  0.456  0.48
Milkina 1970   74  0.3435  0.0083  0.0384  0.0367  0.0474  0.03
Mohovich 1999   36  0.4663  0.0046  0.0551  0.0577  0.0366  0.04
Moravec 1969   48  0.4455  0.0062  0.0462  0.0477  0.0369  0.03
Morozova 2008   47  0.4443  0.0048  0.0550  0.0555  0.0463  0.04
Neighaus 1950   27  0.4953  0.0037  0.0633  0.2262  0.0547  0.10
Niedzielski 1931   52  0.4211  0.0244  0.0843  0.159  0.4223  0.25
Ohlsson 1999   11  0.5448  0.0024  0.1017  0.4044  0.0931  0.19
Osinska 1989   45  0.4460  0.0058  0.0558  0.0552  0.0653  0.05
Pachmann 1927   68  0.3673  0.0061  0.0553  0.0562  0.0462  0.04
Paderewski 1930   26  0.497  0.0430  0.0634  0.2224  0.2327  0.22
Perlemuter 1992   25  0.4919  0.0127  0.0819  0.3843  0.1228  0.21
Pierdomenico 2008   82  0.3087  0.0081  0.0286  0.0279  0.0387  0.02
Poblocka 1999   7  0.568  0.026  0.208  0.5212  0.427  0.47
Rabcewiczowa 1932   67  0.3762  0.0076  0.0371  0.0347  0.0658  0.04
Rachmaninoff 1923   41  0.4583  0.0026  0.0722  0.3630  0.2219  0.28
Rangell 2001   69  0.3678  0.0078  0.0367  0.0376  0.0383  0.03
Richter 1976   30  0.4823  0.0121  0.0824  0.3320  0.3418  0.33
Rosen 1989   62  0.3768  0.0075  0.0383  0.0380  0.0380  0.03
Rosenthal 1930   54  0.4074  0.0068  0.0374  0.0352  0.0479  0.03
Rosenthal 1931   77  0.3379  0.0080  0.0382  0.0357  0.0476  0.03
Rosenthal 1931b   79  0.3388  0.0074  0.0376  0.0361  0.0484  0.03
Rosenthal 1931c   44  0.4467  0.0059  0.0460  0.0438  0.1649  0.08
Rosenthal 1931d   75  0.3427  0.0064  0.0365  0.0350  0.0567  0.04
Rossi 2007   84  0.2356  0.0082  0.0285  0.0257  0.0386  0.02
Rubinstein 1939   87  0.1325  0.0088  0.0288  0.0279  0.0388  0.02
Rubinstein 1952   81  0.3047  0.0086  0.0464  0.0466  0.0468  0.04
Rubinstein 1966   78  0.3349  0.0084  0.0368  0.0385  0.0377  0.03
Schilhawsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Shebanova 2002   60  0.3841  0.0056  0.0461  0.0461  0.0564  0.04
Smith 1975   10  0.5528  0.0023  0.0921  0.3743  0.1229  0.21
Sokolov 2002   5  0.5712  0.028  0.1611  0.4915  0.4110  0.45
Sztompka 1959   33  0.4789  0.0041  0.0640  0.1742  0.1537  0.16
Tomsic 1995   51  0.4280  0.0060  0.0556  0.0556  0.0461  0.04
Uninsky 1932   43  0.4581  0.0019  0.0726  0.3026  0.2521  0.27
Uninsky 1971   18  0.5231  0.007  0.1710  0.4921  0.4211  0.45
Wasowski 1980   37  0.4684  0.0043  0.0744  0.1530  0.2530  0.19
Zak 1937   22  0.5145  0.0020  0.0815  0.4225  0.3315  0.37
Zak 1951   13  0.549  0.029  0.134  0.5819  0.395  0.48
Random 1   90  -0.0575  0.0089  0.0189  0.0180  0.0389  0.02
Random 2   88  -0.0234  0.0087  0.0287  0.0255  0.0578  0.03
Random 3   89  -0.0285  0.0090  0.0190  0.0175  0.0390  0.02

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).