Schilhawsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   4  0.8331  0.005  0.176  0.5911  0.4610  0.52
Anderszewski 2003   46  0.6429  0.0152  0.0464  0.0454  0.0568  0.04
Ashkenazy 1981   52  0.5848  0.0038  0.0838  0.2940  0.1442  0.20
Bacha 2000   80  0.3865  0.0072  0.0476  0.0466  0.0462  0.04
Badura 1965   29  0.7020  0.0127  0.0934  0.3621  0.4727  0.41
Barbosa 1983   81  0.3888  0.0075  0.0470  0.0450  0.0567  0.04
Biret 1990   68  0.4926  0.0161  0.0559  0.0582  0.0374  0.04
Blet 2003   33  0.6977  0.0047  0.0651  0.0630  0.2447  0.12
Block 1995   59  0.5390  0.0050  0.0554  0.0562  0.0470  0.04
Blumental 1952   67  0.5032  0.0056  0.0560  0.0580  0.0371  0.04
Boshniakovich 1969   14  0.7518  0.0121  0.0815  0.4818  0.4914  0.48
Brailowsky 1960   73  0.4578  0.0074  0.0379  0.0382  0.0378  0.03
Bunin 1987   44  0.6427  0.0114  0.0933  0.372  0.5821  0.46
Bunin 1987b   45  0.646  0.0413  0.0932  0.382  0.5817  0.47
Chiu 1999   71  0.4730  0.0157  0.0653  0.0682  0.0364  0.04
Cohen 1997   88  0.2166  0.0086  0.0286  0.0276  0.0390  0.02
Cortot 1951   22  0.7325  0.0128  0.1320  0.474  0.5611  0.51
Csalog 1996   78  0.4167  0.0068  0.0474  0.0481  0.0384  0.03
Czerny 1949   1  0.861  0.291  0.292  0.652  0.661  0.65
Czerny 1990   28  0.7041  0.0046  0.0556  0.0585  0.0373  0.04
Duchoud 2007   63  0.5024  0.0143  0.0844  0.1727  0.2340  0.20
Ezaki 2006   42  0.6673  0.0049  0.0847  0.0855  0.0454  0.06
Falvay 1989   87  0.2284  0.0088  0.0288  0.0277  0.0388  0.02
Farrell 1958   66  0.5054  0.0065  0.0472  0.0479  0.0466  0.04
Ferenczy 1958   48  0.6149  0.0051  0.0557  0.0536  0.1152  0.07
Fliere 1977   2  0.858  0.033  0.163  0.637  0.477  0.54
Fou 1978   55  0.5775  0.0058  0.0650  0.0650  0.0556  0.05
Francois 1956   60  0.5214  0.0171  0.0468  0.0482  0.0387  0.03
Friedman 1923   27  0.7152  0.0034  0.0729  0.4413  0.5216  0.48
Friedman 1923b   25  0.7160  0.0033  0.0826  0.4413  0.5215  0.48
Friedman 1930   36  0.6840  0.0041  0.0940  0.2219  0.4636  0.32
Garcia 2007   30  0.7046  0.0040  0.1335  0.3615  0.4528  0.40
Garcia 2007b   47  0.6344  0.0039  0.1036  0.3619  0.4230  0.39
Gierzod 1998   9  0.7922  0.0112  0.1214  0.5121  0.4023  0.45
Gornostaeva 1994   69  0.4958  0.0067  0.0469  0.0478  0.0385  0.03
Groot 1988   70  0.4862  0.0066  0.0462  0.0459  0.0575  0.04
Harasiewicz 1955   13  0.7650  0.0019  0.0812  0.5419  0.3724  0.45
Hatto 1993   20  0.7451  0.0018  0.1023  0.4613  0.4722  0.46
Hatto 1997   18  0.7556  0.0016  0.0922  0.4713  0.4620  0.46
Horowitz 1949   12  0.7661  0.0015  0.1113  0.531  0.624  0.57
Indjic 1988   17  0.7570  0.0017  0.0819  0.4713  0.4619  0.46
Kapell 1951   31  0.7028  0.0125  0.1028  0.4422  0.2138  0.30
Kissin 1993   7  0.805  0.047  0.197  0.5814  0.488  0.53
Kushner 1989   41  0.6659  0.0053  0.0558  0.0561  0.0557  0.05
Luisada 1991   40  0.6689  0.0048  0.0946  0.0957  0.0551  0.07
Lushtak 2004   43  0.6517  0.0129  0.1039  0.2436  0.1741  0.20
Malcuzynski 1961   53  0.5723  0.0132  0.0943  0.1715  0.3339  0.24
Magaloff 1978   72  0.4579  0.0076  0.0475  0.0482  0.0380  0.03
Magin 1975   35  0.6819  0.0135  0.0630  0.4232  0.2237  0.30
Michalowski 1933   34  0.6910  0.0220  0.0821  0.477  0.5412  0.50
Milkina 1970   51  0.5871  0.0064  0.0749  0.0764  0.0458  0.05
Mohovich 1999   61  0.5186  0.0060  0.0465  0.0472  0.0472  0.04
Moravec 1969   77  0.4134  0.0084  0.0463  0.0467  0.0463  0.04
Morozova 2008   24  0.7253  0.0036  0.0637  0.3320  0.3634  0.34
Neighaus 1950   23  0.7311  0.0210  0.1111  0.5613  0.509  0.53
Niedzielski 1931   15  0.7533  0.0030  0.0817  0.4710  0.5013  0.48
Ohlsson 1999   38  0.6735  0.0026  0.1024  0.4515  0.4026  0.42
Osinska 1989   39  0.6721  0.0145  0.0745  0.1438  0.1945  0.16
Pachmann 1927   49  0.5991  0.0055  0.0561  0.0528  0.2548  0.11
Paderewski 1930   57  0.5463  0.0059  0.0466  0.0479  0.0383  0.03
Perlemuter 1992   32  0.7042  0.0037  0.0931  0.3817  0.3431  0.36
Pierdomenico 2008   83  0.3557  0.0083  0.0378  0.0368  0.0482  0.03
Poblocka 1999   3  0.844  0.062  0.144  0.606  0.553  0.57
Rabcewiczowa 1932   54  0.5743  0.0062  0.0848  0.0853  0.0555  0.06
Rachmaninoff 1923   26  0.717  0.0331  0.0816  0.4810  0.4025  0.44
Rangell 2001   86  0.2380  0.0077  0.0377  0.0368  0.0386  0.03
Richter 1976   5  0.812  0.126  0.209  0.572  0.672  0.62
Rosen 1989   56  0.5672  0.0063  0.0555  0.0558  0.0560  0.05
Rosenthal 1930   50  0.5937  0.0054  0.0652  0.0617  0.3146  0.14
Rosenthal 1931   76  0.4174  0.0080  0.0285  0.0245  0.1159  0.05
Rosenthal 1931b   75  0.4145  0.0079  0.0287  0.0244  0.0976  0.04
Rosenthal 1931c   74  0.4476  0.0078  0.0473  0.0445  0.1153  0.07
Rosenthal 1931d   79  0.3938  0.0082  0.0381  0.0343  0.1061  0.05
Rossi 2007   85  0.3068  0.0085  0.0383  0.0385  0.0379  0.03
Rubinstein 1939   65  0.5055  0.0069  0.0380  0.0355  0.0565  0.04
Rubinstein 1952   82  0.3564  0.0081  0.0382  0.0352  0.0677  0.04
Rubinstein 1966   62  0.5183  0.0070  0.0467  0.0454  0.0569  0.04
Schilhawsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Shebanova 2002   11  0.7716  0.0111  0.158  0.5817  0.3818  0.47
Smith 1975   64  0.5039  0.0073  0.0471  0.0478  0.0381  0.03
Sokolov 2002   58  0.5412  0.0142  0.0841  0.1835  0.1843  0.18
Sztompka 1959   21  0.7347  0.0024  0.0918  0.4726  0.3229  0.39
Tomsic 1995   84  0.3187  0.0087  0.0284  0.0288  0.0289  0.02
Uninsky 1932   10  0.789  0.028  0.2410  0.563  0.566  0.56
Uninsky 1971   6  0.803  0.084  0.145  0.592  0.535  0.56
Wasowski 1980   37  0.6715  0.0144  0.0842  0.1730  0.1844  0.17
Zak 1937   16  0.7585  0.0022  0.0925  0.4422  0.2632  0.34
Zak 1951   19  0.7436  0.0023  0.0927  0.4424  0.2633  0.34
Average   8  0.8013  0.019  0.161  0.6639  0.1735  0.33
Random 1   90  -0.0681  0.0090  0.0290  0.0211  0.4350  0.09
Random 2   89  -0.0269  0.0089  0.0289  0.0210  0.4249  0.09
Random 3   91  -0.2982  0.0091  0.0191  0.0186  0.0291  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).