Ezaki 2006

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.8027  0.0111  0.087  0.5430  0.2916  0.40
Anderszewski 2003   3  0.832  0.152  0.144  0.562  0.504  0.53
Ashkenazy 1981   17  0.7733  0.0010  0.1021  0.3720  0.3121  0.34
Bacha 2000   46  0.6943  0.0036  0.0729  0.2310  0.4024  0.30
Badura 1965   39  0.7013  0.0159  0.0456  0.0443  0.1661  0.08
Barbosa 1983   47  0.6841  0.0039  0.0638  0.187  0.4626  0.29
Biret 1990   29  0.737  0.0418  0.0816  0.3914  0.4217  0.40
Blet 2003   59  0.6414  0.0164  0.0379  0.0344  0.0968  0.05
Block 1995   54  0.6551  0.0055  0.0545  0.0517  0.2844  0.12
Blumental 1952   24  0.736  0.0423  0.0823  0.3410  0.2923  0.31
Boshniakovich 1969   49  0.6788  0.0054  0.0547  0.0553  0.0671  0.05
Brailowsky 1960   25  0.7323  0.0140  0.0640  0.125  0.5230  0.25
Bunin 1987   84  0.4265  0.0086  0.0369  0.0355  0.0681  0.04
Bunin 1987b   86  0.4048  0.0085  0.0463  0.0457  0.0576  0.04
Chiu 1999   9  0.8034  0.0016  0.0914  0.412  0.4612  0.43
Cohen 1997   81  0.4775  0.0087  0.0464  0.0459  0.0480  0.04
Cortot 1951   41  0.7068  0.0046  0.0452  0.0422  0.4043  0.13
Csalog 1996   87  0.3966  0.0076  0.0381  0.0337  0.1562  0.07
Czerny 1949   32  0.7271  0.0019  0.0922  0.3529  0.3919  0.37
Czerny 1990   4  0.829  0.048  0.152  0.586  0.513  0.54
Duchoud 2007   74  0.5383  0.0080  0.0373  0.0348  0.0679  0.04
Ezaki 2006   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Falvay 1989   65  0.5952  0.0081  0.0385  0.0338  0.2552  0.09
Farrell 1958   23  0.7421  0.0129  0.0832  0.2121  0.3925  0.29
Ferenczy 1958   57  0.6453  0.0077  0.0460  0.0445  0.0769  0.05
Fliere 1977   15  0.7817  0.0125  0.0819  0.3843  0.1432  0.23
Fou 1978   26  0.7335  0.0047  0.0546  0.0538  0.1258  0.08
Francois 1956   68  0.5876  0.0074  0.0383  0.0352  0.0584  0.04
Friedman 1923   5  0.8155  0.0021  0.0917  0.3923  0.4314  0.41
Friedman 1923b   7  0.8022  0.0120  0.0915  0.3923  0.4313  0.41
Friedman 1930   11  0.8069  0.0026  0.1125  0.3023  0.4320  0.36
Garcia 2007   48  0.6772  0.0062  0.0377  0.0348  0.0770  0.05
Garcia 2007b   63  0.6150  0.0067  0.0387  0.0350  0.0585  0.04
Gierzod 1998   30  0.7332  0.0024  0.0818  0.3843  0.1336  0.22
Gornostaeva 1994   58  0.6456  0.0052  0.0449  0.0459  0.0482  0.04
Groot 1988   53  0.6578  0.0045  0.0548  0.0521  0.3542  0.13
Harasiewicz 1955   1  0.863  0.063  0.151  0.613  0.561  0.58
Hatto 1993   22  0.7437  0.0030  0.0634  0.2035  0.2139  0.20
Hatto 1997   18  0.7615  0.0132  0.0933  0.2035  0.2138  0.20
Horowitz 1949   43  0.6957  0.0053  0.0450  0.0437  0.3146  0.11
Indjic 1988   19  0.7636  0.0031  0.0735  0.2035  0.2037  0.20
Kapell 1951   60  0.6338  0.0012  0.0820  0.3831  0.1433  0.23
Kissin 1993   21  0.7529  0.0115  0.0911  0.4924  0.3315  0.40
Kushner 1989   45  0.6960  0.0058  0.0455  0.0469  0.0475  0.04
Luisada 1991   2  0.844  0.054  0.1410  0.517  0.4210  0.46
Lushtak 2004   36  0.7179  0.0060  0.0368  0.0360  0.0488  0.03
Malcuzynski 1961   71  0.5724  0.0134  0.0639  0.176  0.4527  0.28
Magaloff 1978   56  0.6462  0.0068  0.0465  0.0439  0.1756  0.08
Magin 1975   28  0.7312  0.029  0.1212  0.4716  0.4211  0.44
Michalowski 1933   73  0.5684  0.0078  0.0376  0.0357  0.0578  0.04
Milkina 1970   14  0.781  0.231  0.233  0.585  0.572  0.57
Mohovich 1999   20  0.7631  0.0014  0.0913  0.449  0.548  0.49
Moravec 1969   64  0.6046  0.0041  0.0541  0.1210  0.5329  0.25
Morozova 2008   16  0.7761  0.0022  0.0930  0.2228  0.2434  0.23
Neighaus 1950   50  0.6785  0.0051  0.0457  0.0458  0.0583  0.04
Niedzielski 1931   44  0.6949  0.0017  0.0724  0.3220  0.4418  0.38
Ohlsson 1999   55  0.6430  0.0050  0.0461  0.0452  0.0577  0.04
Osinska 1989   12  0.7911  0.0313  0.089  0.5215  0.459  0.48
Pachmann 1927   66  0.5844  0.0084  0.0375  0.0361  0.0387  0.03
Paderewski 1930   69  0.5780  0.0082  0.0386  0.0363  0.0386  0.03
Perlemuter 1992   37  0.7089  0.0056  0.0453  0.0462  0.0474  0.04
Pierdomenico 2008   78  0.4967  0.0061  0.0374  0.0335  0.2457  0.08
Poblocka 1999   61  0.6119  0.0142  0.0442  0.0853  0.0563  0.06
Rabcewiczowa 1932   62  0.6154  0.0065  0.0462  0.0445  0.0766  0.05
Rachmaninoff 1923   10  0.8018  0.017  0.128  0.544  0.505  0.52
Rangell 2001   85  0.4140  0.0075  0.0382  0.0322  0.3451  0.10
Richter 1976   72  0.5658  0.0079  0.0380  0.0345  0.1264  0.06
Rosen 1989   35  0.7126  0.0127  0.0627  0.2528  0.2331  0.24
Rosenthal 1930   76  0.5063  0.0073  0.0458  0.0428  0.1860  0.08
Rosenthal 1931   79  0.4973  0.0069  0.0367  0.0316  0.4247  0.11
Rosenthal 1931b   77  0.4986  0.0070  0.0378  0.0316  0.4249  0.11
Rosenthal 1931c   83  0.4474  0.0072  0.0370  0.0325  0.2655  0.09
Rosenthal 1931d   80  0.4964  0.0071  0.0371  0.0318  0.3748  0.11
Rossi 2007   34  0.7225  0.0148  0.0451  0.046  0.5540  0.15
Rubinstein 1939   52  0.6645  0.0057  0.0459  0.0430  0.2053  0.09
Rubinstein 1952   82  0.4559  0.0066  0.0384  0.0347  0.1073  0.05
Rubinstein 1966   38  0.7039  0.0043  0.0444  0.0839  0.2241  0.13
Schilhawsky 1960   51  0.6670  0.0049  0.0454  0.0446  0.0865  0.06
Shebanova 2002   42  0.6928  0.0137  0.0528  0.2580  0.0354  0.09
Smith 1975   27  0.7316  0.0128  0.0826  0.2912  0.3822  0.33
Sokolov 2002   67  0.5810  0.0335  0.0736  0.1915  0.3528  0.26
Sztompka 1959   31  0.7287  0.0033  0.0731  0.2255  0.0550  0.10
Tomsic 1995   75  0.5147  0.0083  0.0466  0.0441  0.1659  0.08
Uninsky 1932   40  0.7020  0.0138  0.0537  0.1830  0.2935  0.23
Uninsky 1971   70  0.5742  0.0063  0.0372  0.0349  0.0767  0.05
Wasowski 1980   33  0.7277  0.0044  0.0443  0.0831  0.1645  0.11
Zak 1937   8  0.805  0.046  0.246  0.568  0.467  0.51
Zak 1951   13  0.798  0.045  0.165  0.568  0.486  0.52
Random 1   90  -0.2390  0.0088  0.0189  0.0141  0.1189  0.03
Random 2   88  -0.1181  0.0090  0.0190  0.0176  0.0390  0.02
Random 3   89  -0.1582  0.0089  0.0188  0.0132  0.2372  0.05

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).