Ezaki 2006

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.4714  0.0116  0.0721  0.536  0.6315  0.58
Anderszewski 2003   36  0.4027  0.0023  0.0833  0.4129  0.4131  0.41
Ashkenazy 1981   70  0.3153  0.0078  0.0475  0.0476  0.0481  0.04
Bacha 2000   24  0.4454  0.0031  0.1027  0.467  0.6517  0.55
Badura 1965   45  0.3840  0.0046  0.0947  0.0917  0.4545  0.20
Barbosa 1983   15  0.4763  0.0026  0.0917  0.5629  0.3429  0.44
Biret 1990   40  0.3929  0.0028  0.1042  0.2529  0.3937  0.31
Blet 2003   73  0.2979  0.0075  0.0570  0.0558  0.0477  0.04
Block 1995   34  0.4137  0.0037  0.0736  0.4030  0.3236  0.36
Blumental 1952   26  0.4434  0.0030  0.0824  0.5126  0.4428  0.47
Boshniakovich 1969   63  0.3361  0.0051  0.0658  0.0666  0.0572  0.05
Brailowsky 1960   8  0.493  0.0610  0.1311  0.607  0.727  0.66
Bunin 1987   65  0.3380  0.0063  0.0566  0.0536  0.2052  0.10
Bunin 1987b   62  0.3470  0.0059  0.0477  0.0434  0.2750  0.10
Chiu 1999   66  0.3349  0.0058  0.0476  0.0471  0.0474  0.04
Cohen 1997   22  0.4439  0.0029  0.0720  0.545  0.7110  0.62
Cortot 1951   43  0.3841  0.0049  0.0852  0.0812  0.6144  0.22
Csalog 1996   76  0.2789  0.0079  0.0383  0.0387  0.0291  0.02
Czerny 1949   2  0.522  0.102  0.392  0.766  0.801  0.78
Czerny 1990   55  0.3544  0.0048  0.0753  0.0754  0.0660  0.06
Duchoud 2007   83  0.2077  0.0081  0.0479  0.0476  0.0480  0.04
Ezaki 2006   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Falvay 1989   9  0.4810  0.0117  0.0710  0.6113  0.4421  0.52
Farrell 1958   39  0.3920  0.0045  0.1243  0.2425  0.3540  0.29
Ferenczy 1958   21  0.4519  0.0032  0.1128  0.454  0.7714  0.59
Fliere 1977   28  0.4360  0.0034  0.0730  0.4254  0.0648  0.16
Fou 1978   12  0.4731  0.0019  0.0818  0.5621  0.4822  0.52
Francois 1956   56  0.3548  0.0042  0.0945  0.1719  0.5439  0.30
Friedman 1923   82  0.2090  0.0084  0.0472  0.0489  0.0288  0.03
Friedman 1923b   84  0.2088  0.0083  0.0385  0.0385  0.0387  0.03
Friedman 1930   77  0.2486  0.0076  0.0481  0.0468  0.0479  0.04
Garcia 2007   80  0.2269  0.0074  0.0569  0.0556  0.0571  0.05
Garcia 2007b   78  0.2357  0.0077  0.0474  0.0453  0.0583  0.04
Gierzod 1998   5  0.5111  0.014  0.196  0.684  0.705  0.69
Gornostaeva 1994   11  0.4730  0.0015  0.1012  0.609  0.6411  0.62
Groot 1988   54  0.3635  0.0050  0.0948  0.0977  0.0461  0.06
Harasiewicz 1955   14  0.4747  0.0020  0.0815  0.5837  0.2334  0.37
Hatto 1993   48  0.3755  0.0055  0.0561  0.0569  0.0482  0.04
Hatto 1997   27  0.4323  0.0035  0.0740  0.3335  0.2341  0.28
Horowitz 1949   86  0.1466  0.0086  0.0286  0.0271  0.0486  0.03
Indjic 1988   58  0.3462  0.0064  0.0564  0.0558  0.0669  0.05
Kapell 1951   68  0.3242  0.0052  0.0756  0.0767  0.0556  0.06
Kissin 1993   57  0.3528  0.0061  0.0473  0.0456  0.0768  0.05
Kushner 1989   35  0.4145  0.0044  0.0944  0.2341  0.1447  0.18
Luisada 1991   53  0.3659  0.0065  0.0757  0.0765  0.0655  0.06
Lushtak 2004   33  0.4167  0.0039  0.1035  0.4027  0.3235  0.36
Malcuzynski 1961   10  0.4815  0.015  0.164  0.709  0.619  0.65
Magaloff 1978   30  0.4233  0.0041  0.1239  0.3432  0.2738  0.30
Magin 1975   71  0.3152  0.0070  0.0659  0.0681  0.0465  0.05
Michalowski 1933   87  0.1281  0.0089  0.0287  0.0282  0.0390  0.02
Milkina 1970   31  0.4232  0.0022  0.0829  0.4229  0.4330  0.42
Mohovich 1999   6  0.499  0.026  0.137  0.687  0.696  0.68
Moravec 1969   25  0.4412  0.0118  0.0825  0.5010  0.5023  0.50
Morozova 2008   23  0.4417  0.0021  0.0816  0.5717  0.5019  0.53
Neighaus 1950   60  0.3484  0.0066  0.0755  0.0747  0.0662  0.06
Niedzielski 1931   85  0.1874  0.0085  0.0382  0.0368  0.0485  0.03
Ohlsson 1999   41  0.3943  0.0038  0.0937  0.3742  0.1442  0.23
Osinska 1989   19  0.467  0.038  0.1222  0.5225  0.4625  0.49
Pachmann 1927   74  0.2878  0.0071  0.0567  0.0557  0.0667  0.05
Paderewski 1930   88  0.0968  0.0088  0.0288  0.0279  0.0389  0.02
Perlemuter 1992   75  0.2836  0.0072  0.0660  0.0667  0.0564  0.05
Pierdomenico 2008   81  0.2250  0.0080  0.0384  0.0381  0.0384  0.03
Poblocka 1999   20  0.4518  0.0025  0.0831  0.4231  0.3533  0.38
Rabcewiczowa 1932   16  0.4626  0.0011  0.129  0.659  0.658  0.65
Rachmaninoff 1923   59  0.3465  0.0067  0.0850  0.0845  0.1153  0.09
Rangell 2001   42  0.394  0.0413  0.1123  0.515  0.6416  0.57
Richter 1976   49  0.3773  0.0056  0.0563  0.0574  0.0475  0.04
Rosen 1989   18  0.4625  0.0014  0.1113  0.5815  0.4324  0.50
Rosenthal 1930   37  0.4046  0.0036  0.0732  0.4111  0.6920  0.53
Rosenthal 1931   32  0.426  0.0312  0.1226  0.499  0.7513  0.61
Rosenthal 1931b   46  0.3716  0.0033  0.0734  0.4010  0.7218  0.54
Rosenthal 1931c   29  0.4222  0.0027  0.1019  0.556  0.7112  0.62
Rosenthal 1931d   51  0.3621  0.0040  0.1238  0.3510  0.6926  0.49
Rossi 2007   79  0.2287  0.0082  0.0480  0.0461  0.0573  0.04
Rubinstein 1939   47  0.3782  0.0053  0.1046  0.1034  0.1749  0.13
Rubinstein 1952   38  0.4038  0.0043  0.0841  0.2744  0.2043  0.23
Rubinstein 1966   17  0.4651  0.0024  0.0714  0.5828  0.2832  0.40
Schilhawsky 1960   69  0.3285  0.0073  0.0471  0.0469  0.0478  0.04
Shebanova 2002   61  0.3464  0.0068  0.0851  0.0868  0.0654  0.07
Smith 1975   3  0.528  0.029  0.125  0.694  0.762  0.72
Sokolov 2002   50  0.3624  0.0047  0.0849  0.0824  0.4246  0.18
Sztompka 1959   67  0.3256  0.0062  0.0562  0.0579  0.0476  0.04
Tomsic 1995   7  0.495  0.033  0.248  0.672  0.733  0.70
Uninsky 1932   64  0.3371  0.0060  0.0478  0.0446  0.0670  0.05
Uninsky 1971   4  0.5113  0.017  0.153  0.725  0.664  0.69
Wasowski 1980   72  0.3083  0.0069  0.0565  0.0566  0.0563  0.05
Zak 1937   52  0.3672  0.0057  0.0568  0.0560  0.0566  0.05
Zak 1951   44  0.3858  0.0054  0.0754  0.0750  0.0657  0.06
Average   1  0.621  0.561  0.551  0.8737  0.2627  0.48
Random 1   90  0.0075  0.0090  0.0190  0.0119  0.3858  0.06
Random 2   89  0.0876  0.0087  0.0289  0.027  0.4651  0.10
Random 3   91  -0.0491  0.0091  0.0191  0.0115  0.3759  0.06

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).