Ezaki 2006

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.527  0.034  0.183  0.761  0.715  0.73
Anderszewski 2003   54  0.2221  0.0030  0.0935  0.2536  0.1930  0.22
Ashkenazy 1981   59  0.2046  0.0061  0.0465  0.0474  0.0569  0.04
Bacha 2000   21  0.4023  0.0024  0.1424  0.5615  0.5322  0.54
Badura 1965   29  0.3312  0.0126  0.1327  0.4516  0.4925  0.47
Barbosa 1983   44  0.2661  0.0051  0.0749  0.0769  0.0460  0.05
Biret 1990   50  0.2315  0.0128  0.1039  0.2235  0.3427  0.27
Blet 2003   68  0.1579  0.0069  0.0374  0.0380  0.0288  0.02
Block 1995   48  0.2368  0.0045  0.1046  0.1074  0.0457  0.06
Blumental 1952   40  0.2848  0.0042  0.1036  0.2462  0.0545  0.11
Boshniakovich 1969   43  0.2649  0.0039  0.0637  0.2356  0.0643  0.12
Brailowsky 1960   7  0.4610  0.0210  0.1418  0.622  0.7511  0.68
Bunin 1987   62  0.2057  0.0058  0.0655  0.0644  0.1150  0.08
Bunin 1987b   61  0.2043  0.0057  0.0559  0.0544  0.1053  0.07
Chiu 1999   63  0.1889  0.0080  0.0379  0.0380  0.0371  0.03
Cohen 1997   2  0.544  0.082  0.224  0.762  0.763  0.76
Cortot 1951   15  0.4219  0.0014  0.0920  0.614  0.7216  0.66
Csalog 1996   87  0.0290  0.0090  0.0190  0.0188  0.0190  0.01
Czerny 1949   5  0.4818  0.018  0.155  0.743  0.862  0.80
Czerny 1990   79  0.1039  0.0070  0.0375  0.0364  0.0480  0.03
Duchoud 2007   65  0.1634  0.0072  0.0371  0.0377  0.0378  0.03
Ezaki 2006   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Falvay 1989   30  0.3133  0.0044  0.0944  0.1731  0.2631  0.21
Farrell 1958   37  0.2926  0.0048  0.0751  0.0754  0.0655  0.06
Ferenczy 1958   9  0.4424  0.0015  0.1021  0.602  0.878  0.72
Fliere 1977   46  0.2552  0.0046  0.1045  0.1059  0.0551  0.07
Fou 1978   25  0.3453  0.0027  0.1826  0.4644  0.1129  0.22
Francois 1956   19  0.4142  0.0018  0.1319  0.6210  0.7213  0.67
Friedman 1923   66  0.1685  0.0065  0.0468  0.0483  0.0382  0.03
Friedman 1923b   69  0.1486  0.0068  0.0372  0.0372  0.0479  0.03
Friedman 1930   51  0.2373  0.0054  0.0558  0.0560  0.0661  0.05
Garcia 2007   80  0.0974  0.0071  0.0470  0.0467  0.0568  0.04
Garcia 2007b   81  0.0869  0.0082  0.0281  0.0274  0.0481  0.03
Gierzod 1998   17  0.4220  0.0017  0.1222  0.597  0.7217  0.65
Gornostaeva 1994   18  0.4144  0.0022  0.1815  0.6416  0.6318  0.63
Groot 1988   33  0.3041  0.0033  0.0732  0.3260  0.0637  0.14
Harasiewicz 1955   34  0.3070  0.0043  0.0843  0.1862  0.0548  0.09
Hatto 1993   60  0.2028  0.0060  0.0561  0.0564  0.0663  0.05
Hatto 1997   31  0.3180  0.0036  0.0733  0.2759  0.0541  0.12
Horowitz 1949   84  0.0571  0.0083  0.0282  0.0278  0.0386  0.02
Indjic 1988   67  0.1540  0.0073  0.0467  0.0461  0.0659  0.05
Kapell 1951   89  0.0258  0.0085  0.0286  0.0282  0.0285  0.02
Kissin 1993   76  0.1122  0.0067  0.0464  0.0474  0.0566  0.04
Kushner 1989   45  0.2545  0.0053  0.0656  0.0673  0.0458  0.05
Luisada 1991   55  0.2264  0.0056  0.0752  0.0763  0.0554  0.06
Lushtak 2004   35  0.2965  0.0038  0.0642  0.2053  0.0547  0.10
Malcuzynski 1961   24  0.3538  0.0025  0.1325  0.5037  0.1926  0.31
Magaloff 1978   32  0.3037  0.0035  0.0729  0.3750  0.0634  0.15
Magin 1975   83  0.0775  0.0086  0.0284  0.0278  0.0384  0.02
Michalowski 1933   86  0.0276  0.0089  0.0289  0.0288  0.0287  0.02
Milkina 1970   49  0.2381  0.0052  0.0847  0.0841  0.1839  0.12
Mohovich 1999   22  0.388  0.0321  0.1423  0.5715  0.5023  0.53
Moravec 1969   38  0.2850  0.0032  0.0730  0.3747  0.0535  0.14
Morozova 2008   11  0.4456  0.0020  0.1411  0.6624  0.3524  0.48
Neighaus 1950   8  0.4411  0.0113  0.196  0.7314  0.4520  0.57
Niedzielski 1931   85  0.0462  0.0087  0.0288  0.0284  0.0383  0.02
Ohlsson 1999   26  0.3354  0.0029  0.0928  0.3873  0.0440  0.12
Osinska 1989   39  0.2817  0.0131  0.0838  0.2335  0.2928  0.26
Pachmann 1927   56  0.2147  0.0063  0.0657  0.0655  0.0656  0.06
Paderewski 1930   74  0.1166  0.0077  0.0373  0.0379  0.0377  0.03
Perlemuter 1992   41  0.2736  0.0040  0.0634  0.2760  0.0446  0.10
Pierdomenico 2008   71  0.1467  0.0078  0.0469  0.0475  0.0373  0.03
Poblocka 1999   36  0.2951  0.0037  0.0740  0.2144  0.1132  0.15
Rabcewiczowa 1932   6  0.463  0.136  0.177  0.6810  0.749  0.71
Rachmaninoff 1923   64  0.1855  0.0059  0.0462  0.0473  0.0372  0.03
Rangell 2001   27  0.3314  0.0123  0.2217  0.628  0.5319  0.57
Richter 1976   70  0.1487  0.0081  0.0285  0.0273  0.0476  0.03
Rosen 1989   20  0.4013  0.0116  0.1016  0.6323  0.5021  0.56
Rosenthal 1930   12  0.435  0.049  0.1512  0.668  0.6715  0.66
Rosenthal 1931   10  0.442  0.143  0.1914  0.656  0.797  0.72
Rosenthal 1931b   14  0.4231  0.005  0.178  0.676  0.814  0.74
Rosenthal 1931c   13  0.4316  0.0111  0.209  0.675  0.7510  0.71
Rosenthal 1931d   23  0.369  0.0219  0.1413  0.655  0.7212  0.68
Rossi 2007   82  0.0788  0.0088  0.0287  0.0264  0.0470  0.03
Rubinstein 1939   42  0.2763  0.0050  0.0653  0.0647  0.0852  0.07
Rubinstein 1952   58  0.2025  0.0049  0.0750  0.0769  0.0464  0.05
Rubinstein 1966   28  0.3359  0.0034  0.0831  0.3251  0.0538  0.13
Schilhawsky 1960   75  0.1182  0.0084  0.0283  0.0279  0.0389  0.02
Shebanova 2002   57  0.2177  0.0062  0.0560  0.0575  0.0467  0.04
Smith 1975   1  0.561  0.351  0.341  0.812  0.821  0.81
Sokolov 2002   47  0.2335  0.0047  0.0848  0.0834  0.2933  0.15
Sztompka 1959   53  0.2232  0.0041  0.0841  0.2077  0.0349  0.08
Tomsic 1995   16  0.4227  0.0012  0.1710  0.671  0.6514  0.66
Uninsky 1932   52  0.2230  0.0055  0.0654  0.0668  0.0562  0.05
Uninsky 1971   4  0.506  0.037  0.122  0.782  0.666  0.72
Wasowski 1980   73  0.1372  0.0076  0.0380  0.0368  0.0565  0.04
Zak 1937   77  0.1083  0.0079  0.0378  0.0380  0.0374  0.03
Zak 1951   72  0.1384  0.0074  0.0376  0.0384  0.0375  0.03
Random 1   88  0.0229  0.0066  0.0466  0.0414  0.3642  0.12
Random 2   78  0.1060  0.0064  0.0463  0.046  0.5036  0.14
Random 3   90  0.0078  0.0075  0.0377  0.039  0.5044  0.12

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).