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  0.752  0.272  0.373  0.681  0.751  0.71
Anderszewski 2003   56  0.4971  0.0051  0.0550  0.0526  0.2853  0.12
Ashkenazy 1981   38  0.5746  0.0038  0.0540  0.1143  0.1158  0.11
Bacha 2000   59  0.4753  0.0068  0.0376  0.0321  0.4355  0.11
Badura 1965   39  0.5641  0.0027  0.0822  0.344  0.6215  0.46
Barbosa 1983   50  0.5261  0.0041  0.0537  0.1426  0.4038  0.24
Biret 1990   36  0.5714  0.0135  0.0636  0.1520  0.4635  0.26
Blet 2003   45  0.5488  0.0050  0.0553  0.0538  0.1763  0.09
Block 1995   68  0.4489  0.0079  0.0372  0.0374  0.0385  0.03
Blumental 1952   74  0.3881  0.0055  0.0459  0.0439  0.1668  0.08
Boshniakovich 1969   49  0.5233  0.0058  0.0463  0.0442  0.1669  0.08
Brailowsky 1960   29  0.597  0.0237  0.0543  0.1010  0.4639  0.21
Bunin 1987   19  0.6416  0.0114  0.1218  0.4210  0.4817  0.45
Bunin 1987b   17  0.6431  0.0013  0.1017  0.4210  0.4816  0.45
Chiu 1999   72  0.4290  0.0070  0.0370  0.0356  0.0578  0.04
Cohen 1997   80  0.3418  0.0172  0.0380  0.0339  0.1470  0.06
Cortot 1951   48  0.5248  0.0054  0.0468  0.0420  0.3554  0.12
Csalog 1996   81  0.3372  0.0084  0.0381  0.0369  0.0483  0.03
Czerny 1949   9  0.6823  0.019  0.157  0.595  0.743  0.66
Czerny 1990   23  0.6258  0.0028  0.0725  0.3023  0.3032  0.30
Duchoud 2007   41  0.5539  0.0045  0.0446  0.0831  0.3744  0.17
Ezaki 2006   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Falvay 1989   27  0.6126  0.0026  0.0831  0.2716  0.3530  0.31
Farrell 1958   66  0.4540  0.0075  0.0379  0.0344  0.1072  0.05
Ferenczy 1958   26  0.6129  0.0036  0.0535  0.153  0.5633  0.29
Fliere 1977   22  0.6256  0.0032  0.0633  0.2227  0.2637  0.24
Fou 1978   32  0.583  0.0515  0.1021  0.3428  0.3825  0.36
Francois 1956   10  0.6611  0.016  0.159  0.555  0.599  0.57
Friedman 1923   85  0.2091  0.0082  0.0284  0.0252  0.0686  0.03
Friedman 1923b   86  0.2082  0.0083  0.0374  0.0346  0.0776  0.05
Friedman 1930   75  0.3783  0.0064  0.0465  0.0430  0.3057  0.11
Garcia 2007   87  0.1859  0.0085  0.0285  0.0265  0.0484  0.03
Garcia 2007b   88  0.1778  0.0087  0.0289  0.0284  0.0291  0.02
Gierzod 1998   24  0.6143  0.0022  0.0819  0.395  0.4719  0.43
Gornostaeva 1994   6  0.719  0.028  0.1610  0.526  0.6110  0.56
Groot 1988   14  0.6435  0.0024  0.0924  0.3119  0.3828  0.34
Harasiewicz 1955   40  0.5675  0.0020  0.0928  0.2920  0.3331  0.31
Hatto 1993   78  0.3519  0.0161  0.0554  0.0529  0.2559  0.11
Hatto 1997   64  0.465  0.0321  0.0823  0.3311  0.4623  0.39
Horowitz 1949   71  0.4360  0.0067  0.0557  0.0537  0.1467  0.08
Indjic 1988   77  0.3630  0.0062  0.0845  0.0827  0.2547  0.14
Kapell 1951   42  0.5555  0.0052  0.0556  0.0536  0.2751  0.12
Kissin 1993   25  0.6145  0.0033  0.0732  0.2428  0.3134  0.27
Kushner 1989   31  0.5949  0.0048  0.0649  0.0631  0.2450  0.12
Luisada 1991   43  0.5579  0.0053  0.0461  0.0437  0.1961  0.09
Lushtak 2004   21  0.6315  0.0117  0.1311  0.497  0.5612  0.52
Malcuzynski 1961   4  0.7310  0.014  0.165  0.655  0.576  0.61
Magaloff 1978   13  0.6434  0.0023  0.0816  0.4227  0.2529  0.32
Magin 1975   58  0.4868  0.0060  0.0469  0.0437  0.1766  0.08
Michalowski 1933   82  0.3384  0.0078  0.0378  0.0352  0.0580  0.04
Milkina 1970   47  0.5366  0.0063  0.0462  0.0447  0.0773  0.05
Mohovich 1999   7  0.7038  0.0010  0.238  0.565  0.638  0.59
Moravec 1969   61  0.4757  0.0065  0.0551  0.0556  0.0571  0.05
Morozova 2008   16  0.6428  0.0012  0.1315  0.448  0.4418  0.44
Neighaus 1950   8  0.696  0.027  0.134  0.6614  0.557  0.60
Niedzielski 1931   83  0.2767  0.0086  0.0288  0.0289  0.0287  0.02
Ohlsson 1999   11  0.6637  0.0016  0.1312  0.489  0.4914  0.48
Osinska 1989   33  0.5822  0.0149  0.0747  0.0716  0.3943  0.17
Pachmann 1927   73  0.3951  0.0073  0.0377  0.0358  0.0579  0.04
Paderewski 1930   62  0.4785  0.0077  0.0282  0.0276  0.0389  0.02
Perlemuter 1992   44  0.5554  0.0046  0.0552  0.0530  0.2749  0.12
Pierdomenico 2008   65  0.4663  0.0071  0.0460  0.0436  0.1962  0.09
Poblocka 1999   20  0.6342  0.0025  0.0827  0.2914  0.3926  0.34
Rabcewiczowa 1932   28  0.6017  0.0134  0.0734  0.2012  0.5827  0.34
Rachmaninoff 1923   55  0.5069  0.0042  0.0439  0.1126  0.2842  0.18
Rangell 2001   30  0.5912  0.0129  0.0626  0.308  0.5224  0.39
Richter 1976   70  0.4386  0.0076  0.0283  0.0273  0.0388  0.02
Rosen 1989   18  0.648  0.0211  0.1813  0.487  0.5911  0.53
Rosenthal 1930   37  0.5724  0.0031  0.0929  0.297  0.6420  0.43
Rosenthal 1931   60  0.4721  0.0140  0.0542  0.106  0.6336  0.25
Rosenthal 1931b   69  0.4436  0.0059  0.0466  0.048  0.5446  0.15
Rosenthal 1931c   35  0.5750  0.0030  0.0730  0.277  0.6622  0.42
Rosenthal 1931d   67  0.4527  0.0066  0.0648  0.0614  0.4045  0.15
Rossi 2007   79  0.3587  0.0081  0.0371  0.0330  0.2165  0.08
Rubinstein 1939   84  0.2164  0.0088  0.0286  0.0264  0.0482  0.03
Rubinstein 1952   63  0.4762  0.0074  0.0464  0.0462  0.0581  0.04
Rubinstein 1966   46  0.5432  0.0039  0.0541  0.1127  0.3241  0.19
Schilhawsky 1960   52  0.5170  0.0056  0.0467  0.0428  0.2856  0.11
Shebanova 2002   54  0.5047  0.0069  0.0373  0.0346  0.0874  0.05
Smith 1975   2  0.754  0.033  0.262  0.722  0.682  0.70
Sokolov 2002   12  0.6620  0.0119  0.0920  0.3812  0.4621  0.42
Sztompka 1959   34  0.5765  0.0047  0.0555  0.0530  0.3152  0.12
Tomsic 1995   5  0.7213  0.015  0.156  0.642  0.644  0.64
Uninsky 1932   53  0.5144  0.0044  0.0444  0.0830  0.2248  0.13
Uninsky 1971   15  0.6425  0.0018  0.0914  0.458  0.5313  0.49
Wasowski 1980   76  0.3673  0.0080  0.0375  0.0352  0.0577  0.04
Zak 1937   57  0.4880  0.0057  0.0558  0.0539  0.1960  0.10
Zak 1951   51  0.5276  0.0043  0.0538  0.1231  0.3040  0.19
Average   1  0.801  0.351  0.351  0.7610  0.515  0.62
Random 1   91  -0.0452  0.0091  0.0191  0.0157  0.0490  0.02
Random 2   90  -0.0174  0.0090  0.0287  0.0238  0.1475  0.05
Random 3   89  0.0477  0.0089  0.0290  0.0212  0.4064  0.09

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).