Zak 1937

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.5253  0.0030  0.1030  0.2938  0.1334  0.19
Anderszewski 2003   80  0.3028  0.0064  0.0466  0.0450  0.0382  0.03
Ashkenazy 1981   35  0.5054  0.0022  0.0923  0.3639  0.1533  0.23
Bacha 2000   42  0.4829  0.0056  0.0647  0.0614  0.4737  0.17
Badura 1965   66  0.3755  0.0054  0.0554  0.0549  0.0561  0.05
Barbosa 1983   19  0.5656  0.0015  0.0915  0.4511  0.5112  0.48
Biret 1990   28  0.5230  0.0024  0.0919  0.3918  0.4616  0.42
Blet 2003   21  0.5457  0.0036  0.0637  0.2234  0.2432  0.23
Block 1995   62  0.4016  0.0069  0.0471  0.0449  0.0468  0.04
Blumental 1952   63  0.3858  0.0065  0.0468  0.0437  0.1752  0.08
Boshniakovich 1969   16  0.562  0.0014  0.1012  0.4711  0.578  0.52
Brailowsky 1960   31  0.5159  0.0035  0.0633  0.2413  0.4424  0.32
Bunin 1987   29  0.5160  0.0037  0.0535  0.2246  0.0744  0.12
Bunin 1987b   30  0.519  0.0038  0.0636  0.2247  0.0743  0.12
Chiu 1999   7  0.5931  0.005  0.204  0.6310  0.613  0.62
Cohen 1997   84  0.225  0.0079  0.0474  0.0453  0.0570  0.04
Cortot 1951   72  0.3561  0.0083  0.0382  0.0373  0.0386  0.03
Csalog 1996   26  0.5332  0.0020  0.0828  0.324  0.5815  0.43
Czerny 1949   60  0.4162  0.0063  0.0548  0.0546  0.0754  0.06
Czerny 1990   50  0.4733  0.0047  0.0465  0.0472  0.0473  0.04
Duchoud 2007   40  0.4934  0.0044  0.0445  0.0855  0.0555  0.06
Ezaki 2006   45  0.4810  0.0040  0.0539  0.1958  0.0547  0.10
Falvay 1989   6  0.6335  0.008  0.145  0.5911  0.486  0.53
Farrell 1958   47  0.4763  0.0052  0.0549  0.0517  0.3741  0.14
Ferenczy 1958   79  0.3064  0.0086  0.0383  0.0385  0.0289  0.02
Fliere 1977   10  0.5817  0.0017  0.0814  0.4531  0.2323  0.32
Fou 1978   11  0.5765  0.0012  0.129  0.5319  0.439  0.48
Francois 1956   25  0.5336  0.0019  0.0820  0.3925  0.3222  0.35
Friedman 1923   87  0.1637  0.0087  0.0473  0.0470  0.0476  0.04
Friedman 1923b   86  0.1838  0.0085  0.0379  0.0356  0.0571  0.04
Friedman 1930   82  0.2339  0.0076  0.0384  0.0377  0.0383  0.03
Garcia 2007   70  0.3518  0.0070  0.0550  0.0520  0.4142  0.14
Garcia 2007b   85  0.2140  0.0078  0.0476  0.0431  0.2549  0.10
Gierzod 1998   41  0.4919  0.0039  0.0541  0.1456  0.0551  0.08
Gornostaeva 1994   58  0.4366  0.0067  0.0467  0.0467  0.0472  0.04
Groot 1988   14  0.5767  0.0013  0.1217  0.4124  0.3421  0.37
Harasiewicz 1955   46  0.4720  0.0010  0.1021  0.3839  0.1730  0.25
Hatto 1993   73  0.3411  0.0060  0.0844  0.0861  0.0456  0.06
Hatto 1997   67  0.3668  0.0059  0.0564  0.0561  0.0467  0.04
Horowitz 1949   4  0.6469  0.003  0.287  0.574  0.554  0.56
Indjic 1988   65  0.3770  0.0032  0.0738  0.2142  0.1338  0.17
Kapell 1951   38  0.5041  0.0055  0.0561  0.0571  0.0464  0.04
Kissin 1993   13  0.573  0.0011  0.1010  0.5116  0.4511  0.48
Kushner 1989   39  0.4912  0.0053  0.0562  0.0552  0.0463  0.04
Luisada 1991   22  0.5471  0.006  0.1813  0.4712  0.4514  0.46
Lushtak 2004   9  0.5842  0.009  0.116  0.5812  0.525  0.55
Malcuzynski 1961   12  0.5772  0.0025  0.0818  0.4038  0.2027  0.28
Magaloff 1978   33  0.5143  0.0031  0.0924  0.3539  0.1631  0.24
Magin 1975   64  0.3744  0.0043  0.0543  0.0956  0.0553  0.07
Michalowski 1933   83  0.2213  0.0073  0.0386  0.0371  0.0480  0.03
Milkina 1970   36  0.5073  0.0034  0.0632  0.2728  0.3126  0.29
Mohovich 1999   5  0.6321  0.007  0.118  0.5513  0.527  0.53
Moravec 1969   24  0.5374  0.0023  0.0731  0.2921  0.3325  0.31
Morozova 2008   52  0.466  0.0033  0.0634  0.2339  0.1436  0.18
Neighaus 1950   3  0.667  0.004  0.283  0.7011  0.572  0.63
Niedzielski 1931   54  0.4575  0.0049  0.0559  0.056  0.4739  0.15
Ohlsson 1999   23  0.5376  0.0021  0.0827  0.3233  0.2029  0.25
Osinska 1989   44  0.4845  0.0048  0.0553  0.0554  0.0657  0.05
Pachmann 1927   20  0.5577  0.0018  0.0916  0.4211  0.5510  0.48
Paderewski 1930   74  0.3378  0.0082  0.0388  0.0383  0.0288  0.02
Perlemuter 1992   34  0.5079  0.0042  0.0742  0.1437  0.1540  0.14
Pierdomenico 2008   51  0.4722  0.0057  0.0560  0.0526  0.2445  0.11
Poblocka 1999   43  0.488  0.0046  0.0563  0.0577  0.0462  0.04
Rabcewiczowa 1932   77  0.3180  0.0080  0.0381  0.0372  0.0379  0.03
Rachmaninoff 1923   55  0.4581  0.0041  0.0640  0.1633  0.2035  0.18
Rangell 2001   37  0.5046  0.0051  0.0557  0.0530  0.2546  0.11
Richter 1976   57  0.4482  0.0050  0.0556  0.0548  0.0659  0.05
Rosen 1989   49  0.4723  0.0061  0.0555  0.0577  0.0369  0.04
Rosenthal 1930   78  0.3147  0.0084  0.0378  0.0376  0.0384  0.03
Rosenthal 1931   81  0.2724  0.0081  0.0377  0.0354  0.0481  0.03
Rosenthal 1931b   75  0.3214  0.0074  0.0387  0.0354  0.0575  0.04
Rosenthal 1931c   69  0.3583  0.0071  0.0470  0.0472  0.0387  0.03
Rosenthal 1931d   71  0.3584  0.0075  0.0475  0.0457  0.0474  0.04
Rossi 2007   88  0.1085  0.0088  0.0380  0.0366  0.0377  0.03
Rubinstein 1939   76  0.3286  0.0077  0.0385  0.0328  0.3148  0.10
Rubinstein 1952   18  0.5687  0.0026  0.0725  0.3514  0.4717  0.41
Rubinstein 1966   17  0.5648  0.0029  0.0929  0.3218  0.4219  0.37
Schilhawsky 1960   32  0.5188  0.0028  0.0826  0.3316  0.4220  0.37
Shebanova 2002   8  0.5889  0.0016  0.0811  0.4914  0.4813  0.48
Smith 1975   61  0.4149  0.0066  0.0469  0.0482  0.0378  0.03
Sokolov 2002   48  0.4725  0.0062  0.0552  0.0559  0.0558  0.05
Sztompka 1959   68  0.3550  0.0072  0.0472  0.0467  0.0465  0.04
Tomsic 1995   15  0.5726  0.0027  0.1022  0.3837  0.1828  0.26
Uninsky 1932   53  0.4627  0.0058  0.0558  0.0559  0.0560  0.05
Uninsky 1971   56  0.4551  0.0068  0.0551  0.0571  0.0366  0.04
Wasowski 1980   59  0.4252  0.0045  0.0446  0.0745  0.1250  0.09
Zak 1937   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Zak 1951   1  0.981  1.001  0.981  1.001  1.001  1.00
Average   2  0.7015  0.002  0.262  0.8039  0.1918  0.39
Random 1   89  -0.0290  0.0090  0.0289  0.0255  0.0485  0.03
Random 2   91  -0.1391  0.0089  0.0190  0.0190  0.0190  0.01
Random 3   90  -0.094  0.0091  0.0191  0.0191  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).