Ezaki 2006

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   62  0.4238  0.0070  0.0656  0.0637  0.1762  0.10
Anderszewski 2003   20  0.5936  0.0022  0.1014  0.5414  0.5618  0.55
Ashkenazy 1981   63  0.4276  0.0078  0.0379  0.0369  0.0384  0.03
Bacha 2000   44  0.4932  0.0049  0.0648  0.061  0.6245  0.19
Badura 1965   59  0.4225  0.0160  0.0562  0.0531  0.2660  0.11
Barbosa 1983   1  0.671  0.241  0.242  0.713  0.752  0.73
Biret 1990   27  0.5517  0.0127  0.0826  0.3524  0.4230  0.38
Blet 2003   60  0.4283  0.0067  0.0472  0.0438  0.1565  0.08
Block 1995   21  0.596  0.0513  0.1224  0.474  0.7115  0.58
Blumental 1952   14  0.604  0.0710  0.1317  0.5310  0.6613  0.59
Boshniakovich 1969   65  0.4159  0.0058  0.0655  0.0652  0.0673  0.06
Brailowsky 1960   36  0.5210  0.0229  0.0738  0.1827  0.4240  0.27
Bunin 1987   49  0.4768  0.0045  0.0650  0.0610  0.4848  0.17
Bunin 1987b   47  0.4753  0.0043  0.0837  0.216  0.5731  0.35
Chiu 1999   48  0.4729  0.0044  0.0643  0.1210  0.4542  0.23
Cohen 1997   71  0.3571  0.0072  0.0377  0.0354  0.0485  0.03
Cortot 1951   74  0.3447  0.0071  0.0564  0.0537  0.2561  0.11
Csalog 1996   39  0.5162  0.0036  0.0732  0.2513  0.4732  0.34
Czerny 1949   25  0.5614  0.017  0.1316  0.5325  0.5917  0.56
Czerny 1990   9  0.6113  0.019  0.288  0.6023  0.619  0.60
Duchoud 2007   83  0.2355  0.0080  0.0383  0.0347  0.0775  0.05
Ezaki 2006   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Falvay 1989   2  0.669  0.034  0.174  0.705  0.703  0.70
Farrell 1958   40  0.5020  0.0128  0.0829  0.2917  0.5428  0.40
Ferenczy 1958   53  0.4544  0.0062  0.0566  0.0533  0.3058  0.12
Fliere 1977   13  0.6031  0.0019  0.1018  0.5314  0.5121  0.52
Fou 1978   12  0.6027  0.0124  0.1123  0.498  0.5422  0.51
Francois 1956   78  0.2935  0.0075  0.0286  0.0271  0.0488  0.03
Friedman 1923   82  0.2577  0.0084  0.0473  0.0469  0.0481  0.04
Friedman 1923b   81  0.2558  0.0083  0.0474  0.0463  0.0580  0.04
Friedman 1930   80  0.2684  0.0081  0.0380  0.0375  0.0383  0.03
Garcia 2007   73  0.3472  0.0061  0.0560  0.0535  0.2559  0.11
Garcia 2007b   67  0.3939  0.0056  0.0651  0.0647  0.0674  0.06
Gierzod 1998   19  0.5941  0.0014  0.1112  0.5622  0.4524  0.50
Gornostaeva 1994   33  0.5385  0.0039  0.0641  0.1720  0.4441  0.27
Groot 1988   64  0.4263  0.0053  0.0563  0.0565  0.0576  0.05
Harasiewicz 1955   3  0.648  0.038  0.189  0.6014  0.6110  0.60
Hatto 1993   31  0.5437  0.0035  0.0734  0.2426  0.3737  0.30
Hatto 1997   28  0.5586  0.0034  0.0830  0.2827  0.4033  0.33
Horowitz 1949   84  0.2364  0.0085  0.0378  0.0368  0.0482  0.03
Indjic 1988   32  0.5465  0.0033  0.0633  0.2529  0.3338  0.29
Kapell 1951   5  0.625  0.073  0.191  0.721  0.751  0.73
Kissin 1993   23  0.5823  0.0126  0.0927  0.3311  0.6125  0.45
Kushner 1989   24  0.5643  0.0025  0.1422  0.5030  0.3626  0.42
Luisada 1991   42  0.5042  0.0055  0.0653  0.0626  0.3752  0.15
Lushtak 2004   34  0.5357  0.0031  0.0631  0.2728  0.4034  0.33
Malcuzynski 1961   10  0.612  0.152  0.175  0.674  0.646  0.65
Magaloff 1978   29  0.5546  0.0032  0.0536  0.2119  0.4535  0.31
Magin 1975   30  0.5548  0.0030  0.0628  0.3017  0.5327  0.40
Michalowski 1933   86  0.2178  0.0077  0.0382  0.0337  0.1472  0.06
Milkina 1970   11  0.613  0.096  0.217  0.6116  0.5514  0.58
Mohovich 1999   15  0.6016  0.0116  0.1411  0.589  0.628  0.60
Moravec 1969   16  0.6028  0.0012  0.146  0.612  0.735  0.67
Morozova 2008   54  0.4549  0.0050  0.0745  0.0722  0.4147  0.17
Neighaus 1950   85  0.2379  0.0086  0.0381  0.0379  0.0386  0.03
Niedzielski 1931   76  0.3280  0.0074  0.0384  0.0351  0.0679  0.04
Ohlsson 1999   56  0.4519  0.0141  0.0640  0.1716  0.4639  0.28
Osinska 1989   4  0.647  0.035  0.233  0.709  0.684  0.69
Pachmann 1927   72  0.3530  0.0059  0.0559  0.0511  0.5450  0.16
Paderewski 1930   87  0.0687  0.0087  0.0287  0.0281  0.0289  0.02
Perlemuter 1992   79  0.2960  0.0082  0.0475  0.0466  0.0477  0.04
Pierdomenico 2008   77  0.3088  0.0076  0.0385  0.0351  0.0578  0.04
Poblocka 1999   7  0.6218  0.0111  0.1519  0.5113  0.5520  0.53
Rabcewiczowa 1932   51  0.4634  0.0042  0.0642  0.1726  0.3243  0.23
Rachmaninoff 1923   41  0.5045  0.0046  0.0558  0.0526  0.3953  0.14
Rangell 2001   55  0.4511  0.0151  0.0652  0.0618  0.4849  0.17
Richter 1976   18  0.5912  0.0118  0.0920  0.514  0.6912  0.59
Rosen 1989   38  0.5233  0.0048  0.0649  0.0624  0.3554  0.14
Rosenthal 1930   69  0.3761  0.0073  0.0471  0.0440  0.1368  0.07
Rosenthal 1931   66  0.4073  0.0066  0.0569  0.0528  0.3555  0.13
Rosenthal 1931b   75  0.3352  0.0079  0.0376  0.0370  0.0487  0.03
Rosenthal 1931c   61  0.4269  0.0065  0.0570  0.0537  0.1963  0.10
Rosenthal 1931d   70  0.3674  0.0069  0.0657  0.0634  0.2756  0.13
Rossi 2007   68  0.3726  0.0164  0.0567  0.0527  0.2957  0.12
Rubinstein 1939   46  0.4850  0.0040  0.0644  0.1125  0.3944  0.21
Rubinstein 1952   22  0.5956  0.0021  0.1113  0.5514  0.5619  0.55
Rubinstein 1966   17  0.5924  0.0115  0.1110  0.5921  0.5316  0.56
Schilhawsky 1960   35  0.5266  0.0037  0.0739  0.1712  0.5436  0.30
Shebanova 2002   52  0.4651  0.0057  0.0561  0.0542  0.1466  0.08
Smith 1975   45  0.4822  0.0163  0.0565  0.0548  0.0870  0.06
Sokolov 2002   43  0.4940  0.0038  0.0635  0.235  0.6529  0.39
Sztompka 1959   58  0.4375  0.0068  0.0654  0.0645  0.0771  0.06
Tomsic 1995   26  0.5621  0.0123  0.1225  0.415  0.6323  0.51
Uninsky 1932   57  0.4454  0.0052  0.0746  0.0721  0.5246  0.19
Uninsky 1971   37  0.5289  0.0047  0.0747  0.0732  0.3551  0.16
Wasowski 1980   50  0.4781  0.0054  0.0568  0.0542  0.1664  0.09
Zak 1937   8  0.6170  0.0020  0.1221  0.515  0.6911  0.59
Zak 1951   6  0.6215  0.0117  0.1015  0.535  0.717  0.61
Random 1   89  -0.0382  0.0089  0.0289  0.0229  0.2269  0.07
Random 2   88  0.0690  0.0088  0.0288  0.0215  0.3667  0.08
Random 3   90  -0.0867  0.0090  0.0190  0.0153  0.0490  0.02

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).