Schilhawsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.7031  0.0018  0.0921  0.4326  0.3426  0.38
Anderszewski 2003   37  0.6222  0.0123  0.0838  0.2517  0.3437  0.29
Ashkenazy 1981   41  0.6121  0.0128  0.0924  0.4029  0.2934  0.34
Bacha 2000   81  0.4082  0.0073  0.0474  0.0484  0.0381  0.03
Badura 1965   35  0.6228  0.0029  0.0934  0.3217  0.3831  0.35
Barbosa 1983   65  0.5036  0.0066  0.0469  0.0441  0.1460  0.07
Biret 1990   59  0.5416  0.0145  0.0645  0.1251  0.0657  0.08
Blet 2003   23  0.6762  0.0036  0.1029  0.3620  0.3332  0.34
Block 1995   70  0.4834  0.0049  0.0748  0.0738  0.1553  0.10
Blumental 1952   77  0.4441  0.0056  0.0472  0.0450  0.0477  0.04
Boshniakovich 1969   36  0.6223  0.0144  0.0744  0.1521  0.3640  0.23
Brailowsky 1960   73  0.4665  0.0075  0.0383  0.0346  0.0763  0.05
Bunin 1987   11  0.6912  0.0210  0.1315  0.453  0.5710  0.51
Bunin 1987b   16  0.697  0.049  0.1013  0.453  0.578  0.51
Chiu 1999   76  0.4435  0.0067  0.0650  0.0668  0.0371  0.04
Cohen 1997   88  0.2471  0.0086  0.0386  0.0354  0.0579  0.04
Cortot 1951   10  0.7060  0.0020  0.1416  0.456  0.615  0.52
Csalog 1996   79  0.4373  0.0074  0.0471  0.0469  0.0476  0.04
Czerny 1949   4  0.7611  0.025  0.195  0.5312  0.509  0.51
Czerny 1990   17  0.6849  0.0035  0.0833  0.3239  0.1442  0.21
Duchoud 2007   45  0.6048  0.0034  0.0736  0.2711  0.4233  0.34
Ezaki 2006   20  0.6830  0.0033  0.0628  0.3639  0.1638  0.24
Falvay 1989   83  0.4076  0.0085  0.0387  0.0373  0.0483  0.03
Farrell 1958   57  0.5513  0.0263  0.0465  0.0452  0.0665  0.05
Ferenczy 1958   30  0.6358  0.0038  0.0735  0.298  0.4430  0.36
Fliere 1977   2  0.7727  0.006  0.1411  0.5018  0.4017  0.45
Fou 1978   68  0.4984  0.0069  0.0377  0.0351  0.0574  0.04
Francois 1956   46  0.5968  0.0061  0.0558  0.0546  0.0568  0.05
Friedman 1923   66  0.5029  0.0050  0.0553  0.0515  0.4548  0.15
Friedman 1923b   63  0.5174  0.0047  0.0747  0.0714  0.4644  0.18
Friedman 1930   47  0.5826  0.0046  0.0946  0.0917  0.4243  0.19
Garcia 2007   56  0.5561  0.0042  0.0742  0.176  0.5336  0.30
Garcia 2007b   82  0.4079  0.0065  0.0651  0.0625  0.2052  0.11
Gierzod 1998   5  0.749  0.037  0.116  0.5312  0.4613  0.49
Gornostaeva 1994   60  0.5357  0.0072  0.0468  0.0477  0.0388  0.03
Groot 1988   49  0.5850  0.0060  0.0462  0.0449  0.0580  0.04
Harasiewicz 1955   14  0.6937  0.0013  0.097  0.5214  0.4414  0.48
Hatto 1993   51  0.5715  0.0215  0.1130  0.3610  0.5720  0.45
Hatto 1997   42  0.6019  0.0112  0.0922  0.426  0.5315  0.47
Horowitz 1949   15  0.698  0.0421  0.0810  0.503  0.643  0.57
Indjic 1988   48  0.5820  0.0114  0.0927  0.368  0.5718  0.45
Kapell 1951   6  0.7424  0.004  0.148  0.514  0.517  0.51
Kissin 1993   32  0.634  0.0737  0.0740  0.2229  0.2439  0.23
Kushner 1989   31  0.6354  0.0052  0.0556  0.0555  0.0566  0.05
Luisada 1991   54  0.5666  0.0057  0.0473  0.0457  0.0470  0.04
Lushtak 2004   21  0.675  0.0511  0.1214  0.4516  0.3525  0.40
Malcuzynski 1961   33  0.6277  0.0048  0.0649  0.0631  0.1950  0.11
Magaloff 1978   61  0.5343  0.0064  0.0460  0.0459  0.0572  0.04
Magin 1975   53  0.5646  0.0043  0.0843  0.1637  0.1546  0.15
Michalowski 1933   43  0.6052  0.0026  0.0823  0.427  0.5016  0.46
Milkina 1970   62  0.5342  0.0070  0.0466  0.0448  0.0667  0.05
Mohovich 1999   52  0.5789  0.0055  0.0555  0.0567  0.0478  0.04
Moravec 1969   69  0.4964  0.0079  0.0476  0.0454  0.0469  0.04
Morozova 2008   34  0.6263  0.0039  0.0837  0.2637  0.1741  0.21
Neighaus 1950   18  0.6818  0.0116  0.089  0.5015  0.4019  0.45
Niedzielski 1931   27  0.6510  0.0222  0.1019  0.443  0.596  0.51
Ohlsson 1999   24  0.6659  0.0027  0.0817  0.4418  0.3924  0.41
Osinska 1989   38  0.6167  0.0053  0.0559  0.0556  0.0562  0.05
Pachmann 1927   67  0.4956  0.0068  0.0475  0.0439  0.1259  0.07
Paderewski 1930   50  0.5781  0.0058  0.0470  0.0433  0.1854  0.08
Perlemuter 1992   25  0.6632  0.0031  0.0932  0.3313  0.4127  0.37
Pierdomenico 2008   80  0.4178  0.0082  0.0384  0.0374  0.0384  0.03
Poblocka 1999   3  0.773  0.082  0.202  0.615  0.552  0.58
Rabcewiczowa 1932   55  0.5547  0.0062  0.0554  0.0547  0.0564  0.05
Rachmaninoff 1923   26  0.6544  0.0032  0.0731  0.3414  0.4028  0.37
Rangell 2001   85  0.3585  0.0080  0.0382  0.0359  0.0489  0.03
Richter 1976   8  0.716  0.048  0.113  0.552  0.641  0.59
Rosen 1989   64  0.5155  0.0071  0.0464  0.0485  0.0387  0.03
Rosenthal 1930   44  0.6039  0.0051  0.0552  0.0514  0.4747  0.15
Rosenthal 1931   72  0.4675  0.0078  0.0461  0.0433  0.1855  0.08
Rosenthal 1931b   75  0.4583  0.0076  0.0379  0.0331  0.2158  0.08
Rosenthal 1931c   58  0.5514  0.0259  0.0463  0.0425  0.3251  0.11
Rosenthal 1931d   78  0.4417  0.0177  0.0378  0.0336  0.1661  0.07
Rossi 2007   87  0.2972  0.0088  0.0385  0.0372  0.0482  0.03
Rubinstein 1939   86  0.3286  0.0087  0.0389  0.0380  0.0385  0.03
Rubinstein 1952   84  0.3633  0.0084  0.0381  0.0379  0.0490  0.03
Rubinstein 1966   71  0.4753  0.0081  0.0380  0.0381  0.0386  0.03
Schilhawsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Shebanova 2002   39  0.6125  0.0040  0.0741  0.2242  0.1345  0.17
Smith 1975   40  0.6138  0.0054  0.0557  0.0566  0.0473  0.04
Sokolov 2002   28  0.6487  0.0030  0.1225  0.3912  0.4621  0.42
Sztompka 1959   13  0.6980  0.0024  0.0726  0.3922  0.3629  0.37
Tomsic 1995   74  0.4590  0.0083  0.0467  0.0465  0.0475  0.04
Uninsky 1932   22  0.6751  0.0017  0.0818  0.448  0.5611  0.50
Uninsky 1971   7  0.732  0.133  0.184  0.554  0.594  0.57
Wasowski 1980   29  0.6440  0.0041  0.0839  0.2512  0.3835  0.31
Zak 1937   19  0.6845  0.0025  0.0820  0.4421  0.3923  0.41
Zak 1951   12  0.6969  0.0019  0.1212  0.4617  0.3822  0.42
Average   1  0.791  0.231  0.221  0.6621  0.3612  0.49
Random 1   90  -0.0670  0.0090  0.0290  0.0223  0.3556  0.08
Random 2   89  -0.0388  0.0089  0.0388  0.038  0.4649  0.12
Random 3   91  -0.1691  0.0091  0.0191  0.0190  0.0191  0.01

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).