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  0.8330  0.015  0.175  0.5910  0.4610  0.52
Anderszewski 2003   45  0.6426  0.0151  0.0463  0.0453  0.0568  0.04
Ashkenazy 1981   51  0.5842  0.0037  0.0837  0.2939  0.1441  0.20
Bacha 2000   79  0.3866  0.0071  0.0475  0.0465  0.0463  0.04
Badura 1965   28  0.7019  0.0126  0.0933  0.3620  0.4727  0.41
Barbosa 1983   80  0.3887  0.0074  0.0469  0.0449  0.0658  0.05
Biret 1990   67  0.4925  0.0160  0.0558  0.0581  0.0374  0.04
Blet 2003   32  0.6976  0.0046  0.0650  0.0629  0.2446  0.12
Block 1995   58  0.5389  0.0049  0.0553  0.0561  0.0470  0.04
Blumental 1952   66  0.5031  0.0155  0.0559  0.0579  0.0371  0.04
Boshniakovich 1969   13  0.7517  0.0120  0.0814  0.4817  0.4914  0.48
Brailowsky 1960   72  0.4577  0.0073  0.0378  0.0381  0.0377  0.03
Bunin 1987   43  0.6428  0.0113  0.1032  0.372  0.5821  0.46
Bunin 1987b   44  0.646  0.0412  0.0931  0.382  0.5817  0.47
Chiu 1999   70  0.4729  0.0156  0.0652  0.0681  0.0365  0.04
Cohen 1997   87  0.2164  0.0085  0.0285  0.0275  0.0389  0.02
Cortot 1951   21  0.7324  0.0127  0.1319  0.473  0.5611  0.51
Csalog 1996   77  0.4165  0.0067  0.0473  0.0480  0.0383  0.03
Czerny 1949   1  0.861  0.301  0.291  0.651  0.661  0.65
Czerny 1990   27  0.7040  0.0045  0.0555  0.0584  0.0373  0.04
Duchoud 2007   62  0.5023  0.0142  0.0843  0.1726  0.2339  0.20
Ezaki 2006   41  0.6672  0.0048  0.0846  0.0854  0.0453  0.06
Falvay 1989   86  0.2283  0.0087  0.0287  0.0276  0.0387  0.02
Farrell 1958   65  0.5054  0.0064  0.0471  0.0478  0.0467  0.04
Ferenczy 1958   47  0.6150  0.0050  0.0556  0.0535  0.1151  0.07
Fliere 1977   2  0.858  0.033  0.162  0.636  0.477  0.54
Fou 1978   54  0.5774  0.0057  0.0749  0.0749  0.0555  0.06
Francois 1956   59  0.5213  0.0170  0.0467  0.0481  0.0386  0.03
Friedman 1923   26  0.7152  0.0033  0.0728  0.4412  0.5216  0.48
Friedman 1923b   24  0.7159  0.0032  0.0825  0.4412  0.5215  0.48
Friedman 1930   35  0.6841  0.0040  0.0939  0.2218  0.4635  0.32
Garcia 2007   29  0.7046  0.0039  0.1334  0.3614  0.4528  0.40
Garcia 2007b   46  0.6348  0.0038  0.1035  0.3618  0.4230  0.39
Gierzod 1998   8  0.7921  0.0111  0.1213  0.5120  0.4023  0.45
Gornostaeva 1994   68  0.4937  0.0066  0.0468  0.0477  0.0384  0.03
Groot 1988   69  0.4862  0.0065  0.0561  0.0558  0.0562  0.05
Harasiewicz 1955   12  0.7643  0.0018  0.0811  0.5418  0.3724  0.45
Hatto 1993   19  0.7451  0.0017  0.1022  0.4612  0.4722  0.46
Hatto 1997   17  0.7556  0.0015  0.0921  0.4712  0.4620  0.46
Horowitz 1949   11  0.7660  0.0014  0.1112  0.531  0.624  0.57
Indjic 1988   16  0.7569  0.0016  0.0818  0.4712  0.4619  0.46
Kapell 1951   30  0.7027  0.0124  0.1027  0.4421  0.2137  0.30
Kissin 1993   7  0.805  0.047  0.216  0.5813  0.488  0.53
Kushner 1989   40  0.6657  0.0052  0.0557  0.0560  0.0556  0.05
Luisada 1991   39  0.6688  0.0047  0.0945  0.0956  0.0550  0.07
Lushtak 2004   42  0.6516  0.0128  0.1038  0.2435  0.1740  0.20
Malcuzynski 1961   52  0.5722  0.0131  0.0942  0.1714  0.3338  0.24
Magaloff 1978   71  0.4578  0.0075  0.0474  0.0481  0.0379  0.03
Magin 1975   34  0.6818  0.0134  0.0629  0.4231  0.2236  0.30
Michalowski 1933   33  0.6910  0.0219  0.0820  0.477  0.5412  0.50
Milkina 1970   50  0.5870  0.0063  0.0748  0.0763  0.0457  0.05
Mohovich 1999   60  0.5185  0.0059  0.0464  0.0471  0.0472  0.04
Moravec 1969   76  0.4133  0.0083  0.0462  0.0466  0.0464  0.04
Morozova 2008   23  0.7253  0.0035  0.0736  0.3319  0.3634  0.34
Neighaus 1950   22  0.7311  0.029  0.1110  0.5612  0.509  0.53
Niedzielski 1931   14  0.7532  0.0029  0.0816  0.479  0.5013  0.48
Ohlsson 1999   37  0.6734  0.0025  0.1023  0.4514  0.4026  0.42
Osinska 1989   38  0.6720  0.0144  0.0744  0.1437  0.1944  0.16
Pachmann 1927   48  0.5990  0.0054  0.0560  0.0527  0.2547  0.11
Paderewski 1930   56  0.5461  0.0058  0.0465  0.0478  0.0382  0.03
Perlemuter 1992   31  0.7044  0.0036  0.0930  0.3816  0.3431  0.36
Pierdomenico 2008   82  0.3558  0.0082  0.0377  0.0367  0.0481  0.03
Poblocka 1999   3  0.844  0.062  0.143  0.606  0.553  0.57
Rabcewiczowa 1932   53  0.5745  0.0061  0.0847  0.0852  0.0554  0.06
Rachmaninoff 1923   25  0.717  0.0330  0.0815  0.489  0.4025  0.44
Rangell 2001   85  0.2379  0.0076  0.0476  0.0467  0.0385  0.03
Richter 1976   5  0.812  0.126  0.218  0.572  0.672  0.62
Rosen 1989   55  0.5671  0.0062  0.0554  0.0557  0.0560  0.05
Rosenthal 1930   49  0.5936  0.0053  0.0651  0.0616  0.3145  0.14
Rosenthal 1931   75  0.4173  0.0079  0.0284  0.0244  0.1159  0.05
Rosenthal 1931b   74  0.4149  0.0078  0.0286  0.0243  0.0975  0.04
Rosenthal 1931c   73  0.4475  0.0077  0.0472  0.0444  0.1152  0.07
Rosenthal 1931d   78  0.3938  0.0081  0.0380  0.0342  0.1061  0.05
Rossi 2007   84  0.3067  0.0084  0.0382  0.0384  0.0378  0.03
Rubinstein 1939   64  0.5055  0.0068  0.0379  0.0354  0.0566  0.04
Rubinstein 1952   81  0.3563  0.0080  0.0381  0.0351  0.0676  0.04
Rubinstein 1966   61  0.5180  0.0069  0.0466  0.0453  0.0569  0.04
Schilhawsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Shebanova 2002   10  0.7715  0.0110  0.167  0.5816  0.3818  0.47
Smith 1975   63  0.5039  0.0072  0.0470  0.0477  0.0380  0.03
Sokolov 2002   57  0.5412  0.0141  0.0840  0.1834  0.1842  0.18
Sztompka 1959   20  0.7347  0.0023  0.0917  0.4725  0.3229  0.39
Tomsic 1995   83  0.3186  0.0086  0.0283  0.0287  0.0288  0.02
Uninsky 1932   9  0.789  0.028  0.259  0.563  0.566  0.56
Uninsky 1971   6  0.803  0.084  0.144  0.592  0.535  0.56
Wasowski 1980   36  0.6714  0.0143  0.0841  0.1729  0.1843  0.17
Zak 1937   15  0.7584  0.0021  0.0924  0.4421  0.2632  0.34
Zak 1951   18  0.7435  0.0022  0.0926  0.4423  0.2633  0.34
Random 1   89  -0.0681  0.0089  0.0289  0.0211  0.4349  0.09
Random 2   88  -0.0268  0.0088  0.0288  0.0210  0.4248  0.09
Random 3   90  -0.2982  0.0090  0.0190  0.0185  0.0290  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).