Zak 1937

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   20  0.6564  0.0014  0.0918  0.3331  0.2225  0.27
Anderszewski 2003   81  0.3311  0.0070  0.0376  0.0376  0.0379  0.03
Ashkenazy 1981   55  0.5365  0.0041  0.0637  0.1840  0.1339  0.15
Bacha 2000   39  0.5938  0.0042  0.0839  0.178  0.4820  0.29
Badura 1965   65  0.4666  0.0057  0.0650  0.0650  0.0560  0.05
Barbosa 1983   25  0.6346  0.0023  0.0626  0.2722  0.3719  0.32
Biret 1990   27  0.6314  0.0031  0.0723  0.3125  0.2523  0.28
Blet 2003   29  0.6219  0.0048  0.0553  0.0558  0.0466  0.04
Block 1995   76  0.4067  0.0080  0.0378  0.0362  0.0483  0.03
Blumental 1952   72  0.4129  0.0066  0.0471  0.0431  0.1652  0.08
Boshniakovich 1969   41  0.5820  0.0049  0.0557  0.0531  0.2047  0.10
Brailowsky 1960   31  0.6168  0.0040  0.0836  0.2023  0.3427  0.26
Bunin 1987   35  0.6069  0.0043  0.0641  0.1451  0.0553  0.08
Bunin 1987b   36  0.6039  0.0044  0.0742  0.1453  0.0551  0.08
Chiu 1999   12  0.683  0.007  0.148  0.486  0.555  0.51
Cohen 1997   82  0.2421  0.0082  0.0383  0.0340  0.1358  0.06
Cortot 1951   67  0.4547  0.0076  0.0382  0.0372  0.0386  0.03
Csalog 1996   38  0.5948  0.0035  0.0543  0.126  0.5328  0.25
Czerny 1949   43  0.5749  0.0036  0.0538  0.1759  0.0549  0.09
Czerny 1990   28  0.6240  0.0024  0.0625  0.2860  0.0443  0.11
Duchoud 2007   51  0.5570  0.0052  0.0559  0.0552  0.0469  0.04
Ezaki 2006   22  0.6550  0.0026  0.0520  0.3256  0.0440  0.11
Falvay 1989   2  0.798  0.003  0.293  0.605  0.602  0.60
Farrell 1958   33  0.6141  0.0050  0.0551  0.0519  0.2441  0.11
Ferenczy 1958   75  0.4051  0.0078  0.0381  0.0373  0.0381  0.03
Fliere 1977   7  0.7216  0.0010  0.147  0.4819  0.3115  0.39
Fou 1978   11  0.6812  0.0013  0.109  0.4718  0.427  0.44
Francois 1956   13  0.6715  0.009  0.1413  0.4114  0.3417  0.37
Friedman 1923   88  -0.0171  0.0088  0.0288  0.0269  0.0587  0.03
Friedman 1923b   87  0.0072  0.0087  0.0386  0.0361  0.0570  0.04
Friedman 1930   83  0.1522  0.0083  0.0385  0.0373  0.0480  0.03
Garcia 2007   80  0.3473  0.0081  0.0468  0.0421  0.3142  0.11
Garcia 2007b   85  0.1274  0.0085  0.0472  0.0435  0.1257  0.07
Gierzod 1998   24  0.6426  0.0032  0.0631  0.2438  0.1734  0.20
Gornostaeva 1994   48  0.5575  0.0062  0.0555  0.0567  0.0371  0.04
Groot 1988   9  0.7127  0.008  0.1311  0.4414  0.4012  0.42
Harasiewicz 1955   62  0.5052  0.0028  0.0528  0.2642  0.1037  0.16
Hatto 1993   79  0.3430  0.0046  0.0746  0.0735  0.1548  0.10
Hatto 1997   74  0.4076  0.0047  0.0648  0.0658  0.0367  0.04
Horowitz 1949   4  0.7623  0.002  0.225  0.513  0.554  0.53
Indjic 1988   78  0.385  0.0045  0.0644  0.1130  0.2138  0.15
Kapell 1951   49  0.5531  0.0067  0.0375  0.0357  0.0476  0.03
Kissin 1993   17  0.6777  0.0015  0.0912  0.4314  0.458  0.44
Kushner 1989   40  0.5842  0.0058  0.0649  0.0656  0.0459  0.05
Luisada 1991   45  0.566  0.0017  0.0824  0.2824  0.3121  0.29
Lushtak 2004   21  0.6513  0.0020  0.0616  0.3529  0.2126  0.27
Malcuzynski 1961   15  0.6753  0.0025  0.0819  0.3341  0.1233  0.20
Magaloff 1978   34  0.6054  0.0037  0.0633  0.2335  0.1832  0.20
Magin 1975   73  0.4178  0.0059  0.0561  0.0568  0.0363  0.04
Michalowski 1933   84  0.1232  0.0084  0.0374  0.0379  0.0378  0.03
Milkina 1970   18  0.6628  0.0016  0.0714  0.4110  0.459  0.43
Mohovich 1999   5  0.767  0.006  0.126  0.4913  0.426  0.45
Moravec 1969   19  0.6633  0.0012  0.1021  0.317  0.5114  0.40
Morozova 2008   46  0.5579  0.0030  0.0740  0.1527  0.1736  0.16
Neighaus 1950   6  0.749  0.004  0.152  0.6110  0.523  0.56
Niedzielski 1931   54  0.5455  0.0051  0.0554  0.055  0.5035  0.16
Ohlsson 1999   30  0.6156  0.0039  0.0732  0.2323  0.2630  0.24
Osinska 1989   47  0.5534  0.0054  0.0560  0.0573  0.0461  0.04
Pachmann 1927   26  0.634  0.0021  0.0627  0.2713  0.4918  0.36
Paderewski 1930   77  0.3980  0.0079  0.0387  0.0386  0.0289  0.02
Perlemuter 1992   23  0.6435  0.0027  0.0629  0.2633  0.1831  0.22
Pierdomenico 2008   37  0.5981  0.0038  0.0734  0.2115  0.3424  0.27
Poblocka 1999   44  0.5657  0.0055  0.0464  0.0467  0.0373  0.03
Rabcewiczowa 1932   71  0.4282  0.0075  0.0379  0.0355  0.0475  0.03
Rachmaninoff 1923   42  0.5783  0.0029  0.0530  0.2520  0.3122  0.28
Rangell 2001   53  0.5410  0.0060  0.0552  0.0537  0.1650  0.09
Richter 1976   58  0.5184  0.0056  0.0556  0.0551  0.0464  0.04
Rosen 1989   56  0.5317  0.0068  0.0463  0.0470  0.0384  0.03
Rosenthal 1930   64  0.4785  0.0072  0.0470  0.0466  0.0382  0.03
Rosenthal 1931   68  0.4558  0.0073  0.0465  0.0442  0.1255  0.07
Rosenthal 1931b   66  0.4643  0.0065  0.0558  0.0538  0.1454  0.08
Rosenthal 1931c   61  0.5086  0.0063  0.0466  0.0459  0.0472  0.04
Rosenthal 1931d   60  0.5059  0.0064  0.0469  0.0436  0.1356  0.07
Rossi 2007   86  0.1244  0.0086  0.0377  0.0381  0.0288  0.02
Rubinstein 1939   70  0.4387  0.0077  0.0373  0.0323  0.3645  0.10
Rubinstein 1952   10  0.7060  0.0019  0.0517  0.3510  0.5311  0.43
Rubinstein 1966   16  0.6761  0.0018  0.0622  0.3117  0.4416  0.37
Schilhawsky 1960   32  0.6136  0.0034  0.0835  0.2157  0.0546  0.10
Shebanova 2002   14  0.6745  0.0022  0.0715  0.3813  0.4810  0.43
Smith 1975   50  0.5518  0.0053  0.0647  0.0686  0.0274  0.03
Sokolov 2002   52  0.5524  0.0061  0.0467  0.0462  0.0462  0.04
Sztompka 1959   69  0.4488  0.0074  0.0384  0.0363  0.0477  0.03
Tomsic 1995   8  0.7262  0.0011  0.1010  0.4518  0.3713  0.41
Uninsky 1932   63  0.4825  0.0069  0.0562  0.0563  0.0468  0.04
Uninsky 1971   59  0.5189  0.0071  0.0380  0.0350  0.0565  0.04
Wasowski 1980   57  0.5137  0.0033  0.0545  0.1040  0.1144  0.10
Zak 1937   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Zak 1951   1  0.981  0.991  0.981  0.991  0.991  0.99
Average   3  0.772  0.005  0.124  0.5441  0.1229  0.25
Random 1   89  -0.0590  0.0090  0.0290  0.0249  0.0585  0.03
Random 2   90  -0.1891  0.0089  0.0289  0.0270  0.0290  0.02
Random 3   91  -0.1963  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).