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  0.812  0.092  0.293  0.614  0.625  0.61
Anderszewski 2003   24  0.7257  0.0028  0.0725  0.3213  0.4323  0.37
Ashkenazy 1981   14  0.7421  0.0014  0.1213  0.4121  0.4019  0.40
Bacha 2000   61  0.6074  0.0058  0.0469  0.0421  0.3360  0.11
Badura 1965   36  0.6875  0.0046  0.0551  0.057  0.4849  0.15
Barbosa 1983   51  0.6513  0.0119  0.0724  0.323  0.6114  0.44
Biret 1990   20  0.7218  0.0030  0.0827  0.3010  0.4524  0.37
Blet 2003   32  0.7025  0.0034  0.0734  0.2214  0.3934  0.29
Block 1995   62  0.6064  0.0080  0.0456  0.0432  0.2169  0.09
Blumental 1952   72  0.5727  0.0055  0.0466  0.0428  0.1873  0.08
Boshniakovich 1969   49  0.6583  0.0068  0.0376  0.0348  0.0685  0.04
Brailowsky 1960   35  0.6841  0.0061  0.0380  0.0325  0.3463  0.10
Bunin 1987   64  0.5970  0.0071  0.0386  0.0324  0.3567  0.10
Bunin 1987b   67  0.5886  0.0072  0.0462  0.0424  0.3758  0.12
Chiu 1999   40  0.6767  0.0047  0.0648  0.0616  0.4645  0.17
Cohen 1997   88  0.3644  0.0088  0.0464  0.0464  0.0486  0.04
Cortot 1951   50  0.6533  0.0067  0.0388  0.0330  0.2870  0.09
Csalog 1996   87  0.4051  0.0083  0.0463  0.0454  0.0583  0.04
Czerny 1949   13  0.7416  0.0112  0.1210  0.4715  0.4613  0.46
Czerny 1990   2  0.8212  0.013  0.292  0.624  0.653  0.63
Duchoud 2007   54  0.6353  0.0038  0.0444  0.0931  0.3246  0.17
Ezaki 2006   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Falvay 1989   44  0.6617  0.0050  0.0455  0.0423  0.3857  0.12
Farrell 1958   52  0.6563  0.0062  0.0457  0.0436  0.1872  0.08
Ferenczy 1958   46  0.669  0.0156  0.0471  0.0410  0.4055  0.13
Fliere 1977   4  0.8014  0.017  0.126  0.5216  0.439  0.47
Fou 1978   31  0.706  0.0216  0.0731  0.2926  0.3230  0.30
Francois 1956   43  0.6648  0.0027  0.0733  0.2319  0.4033  0.30
Friedman 1923   79  0.5188  0.0077  0.0467  0.0413  0.4651  0.14
Friedman 1923b   78  0.5172  0.0074  0.0375  0.0313  0.4759  0.12
Friedman 1930   57  0.6343  0.0045  0.0642  0.1210  0.4839  0.24
Garcia 2007   77  0.5391  0.0084  0.0372  0.0351  0.0584  0.04
Garcia 2007b   86  0.4290  0.0086  0.0377  0.0373  0.0389  0.03
Gierzod 1998   25  0.7137  0.0035  0.0629  0.3034  0.2435  0.27
Gornostaeva 1994   22  0.7239  0.0020  0.0721  0.347  0.5318  0.42
Groot 1988   28  0.7130  0.0031  0.0730  0.2915  0.4922  0.38
Harasiewicz 1955   8  0.7647  0.005  0.167  0.529  0.458  0.48
Hatto 1993   70  0.5881  0.0059  0.0454  0.0437  0.1576  0.08
Hatto 1997   56  0.637  0.0148  0.0647  0.0622  0.2854  0.13
Horowitz 1949   59  0.6173  0.0075  0.0383  0.0334  0.3265  0.10
Indjic 1988   63  0.5971  0.0057  0.0460  0.0428  0.2068  0.09
Kapell 1951   42  0.6715  0.0126  0.0923  0.3321  0.3526  0.34
Kissin 1993   9  0.7519  0.0021  0.0716  0.3912  0.4815  0.43
Kushner 1989   23  0.7254  0.0039  0.0440  0.1532  0.2643  0.20
Luisada 1991   7  0.7726  0.0024  0.1020  0.3713  0.4816  0.42
Lushtak 2004   12  0.7450  0.0023  0.0918  0.3813  0.4020  0.39
Malcuzynski 1961   30  0.7020  0.0011  0.1017  0.394  0.587  0.48
Magaloff 1978   33  0.6935  0.0042  0.0441  0.1428  0.3042  0.20
Magin 1975   38  0.6855  0.0029  0.0728  0.3014  0.3528  0.32
Michalowski 1933   80  0.5168  0.0079  0.0374  0.0353  0.0779  0.05
Milkina 1970   27  0.7140  0.0033  0.0732  0.2822  0.3429  0.31
Mohovich 1999   5  0.8023  0.004  0.174  0.613  0.722  0.66
Moravec 1969   71  0.5731  0.0060  0.0458  0.0420  0.3956  0.12
Morozova 2008   11  0.7562  0.0013  0.0922  0.3316  0.3327  0.33
Neighaus 1950   15  0.7380  0.0022  0.0715  0.3924  0.3225  0.35
Niedzielski 1931   74  0.5546  0.0073  0.0381  0.0345  0.0878  0.05
Ohlsson 1999   26  0.7145  0.0032  0.0826  0.3125  0.2931  0.30
Osinska 1989   10  0.758  0.0118  0.0714  0.4118  0.4317  0.42
Pachmann 1927   76  0.5382  0.0085  0.0387  0.0354  0.0582  0.04
Paderewski 1930   60  0.6087  0.0082  0.0461  0.0470  0.0388  0.03
Perlemuter 1992   29  0.7184  0.0037  0.0537  0.1726  0.2640  0.21
Pierdomenico 2008   66  0.5985  0.0070  0.0379  0.0329  0.3664  0.10
Poblocka 1999   37  0.6832  0.0044  0.0638  0.1628  0.2441  0.20
Rabcewiczowa 1932   53  0.6528  0.0052  0.0646  0.0627  0.2753  0.13
Rachmaninoff 1923   21  0.7222  0.009  0.099  0.486  0.526  0.50
Rangell 2001   75  0.5424  0.0063  0.0373  0.0311  0.4462  0.11
Richter 1976   68  0.5878  0.0081  0.0465  0.0433  0.2366  0.10
Rosen 1989   17  0.7211  0.0117  0.0812  0.4412  0.5112  0.47
Rosenthal 1930   69  0.5859  0.0053  0.0553  0.0516  0.4548  0.15
Rosenthal 1931   81  0.5160  0.0065  0.0459  0.0416  0.4650  0.14
Rosenthal 1931b   84  0.4838  0.0078  0.0385  0.0328  0.2671  0.09
Rosenthal 1931c   73  0.5556  0.0054  0.0552  0.0512  0.5047  0.16
Rosenthal 1931d   82  0.5052  0.0066  0.0378  0.0329  0.2475  0.08
Rossi 2007   65  0.5966  0.0069  0.0384  0.034  0.5852  0.13
Rubinstein 1939   85  0.4342  0.0087  0.0382  0.0377  0.0387  0.03
Rubinstein 1952   83  0.5010  0.0151  0.0549  0.0548  0.0977  0.07
Rubinstein 1966   45  0.664  0.038  0.0936  0.1715  0.5232  0.30
Schilhawsky 1960   39  0.6861  0.0041  0.0439  0.1628  0.3638  0.24
Shebanova 2002   47  0.6649  0.0064  0.0468  0.0448  0.0680  0.05
Smith 1975   6  0.795  0.026  0.165  0.582  0.644  0.61
Sokolov 2002   34  0.693  0.0415  0.0711  0.454  0.5010  0.47
Sztompka 1959   18  0.7279  0.0036  0.0635  0.2032  0.2837  0.24
Tomsic 1995   41  0.6729  0.0043  0.0543  0.1110  0.5636  0.25
Uninsky 1932   48  0.6634  0.0040  0.0445  0.0826  0.4044  0.18
Uninsky 1971   55  0.6336  0.0049  0.0550  0.0534  0.2561  0.11
Wasowski 1980   58  0.6269  0.0076  0.0470  0.0466  0.0581  0.04
Zak 1937   19  0.7276  0.0025  0.1119  0.3719  0.4021  0.38
Zak 1951   16  0.7365  0.0010  0.118  0.4812  0.4611  0.47
Average   1  0.891  0.651  0.651  0.833  0.631  0.72
Random 1   91  -0.1789  0.0091  0.0191  0.0171  0.0391  0.02
Random 2   90  -0.1477  0.0090  0.0290  0.0274  0.0390  0.02
Random 3   89  -0.0458  0.0089  0.0289  0.0217  0.3374  0.08

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).