Ezaki 2006

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   18  0.6653  0.0021  0.0924  0.3938  0.2135  0.29
Anderszewski 2003   4  0.7150  0.0012  0.149  0.647  0.597  0.61
Ashkenazy 1981   34  0.6258  0.0043  0.0643  0.1335  0.2246  0.17
Bacha 2000   40  0.6046  0.0039  0.0736  0.224  0.5828  0.36
Badura 1965   48  0.5828  0.0052  0.0470  0.0437  0.2762  0.10
Barbosa 1983   15  0.6735  0.009  0.1217  0.554  0.6510  0.60
Biret 1990   24  0.6510  0.0120  0.1419  0.5019  0.4120  0.45
Blet 2003   61  0.5471  0.0070  0.0465  0.0445  0.0974  0.06
Block 1995   35  0.618  0.0228  0.0728  0.347  0.5721  0.44
Blumental 1952   14  0.674  0.0315  0.1211  0.615  0.5511  0.58
Boshniakovich 1969   52  0.5781  0.0054  0.0463  0.0453  0.0678  0.05
Brailowsky 1960   37  0.619  0.0142  0.0642  0.1414  0.6034  0.29
Bunin 1987   83  0.4384  0.0081  0.0475  0.0437  0.2164  0.09
Bunin 1987b   84  0.4363  0.0078  0.0383  0.0335  0.2663  0.09
Chiu 1999   26  0.6420  0.0130  0.0734  0.285  0.5225  0.38
Cohen 1997   82  0.4368  0.0087  0.0466  0.0443  0.1172  0.07
Cortot 1951   67  0.5059  0.0067  0.0471  0.0438  0.2265  0.09
Csalog 1996   71  0.4876  0.0053  0.0559  0.0523  0.3651  0.13
Czerny 1949   17  0.6619  0.0111  0.1314  0.5915  0.5413  0.56
Czerny 1990   3  0.726  0.024  0.224  0.7210  0.643  0.68
Duchoud 2007   87  0.3985  0.0086  0.0478  0.0453  0.0581  0.04
Ezaki 2006   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Falvay 1989   29  0.6318  0.0140  0.0740  0.1813  0.5032  0.30
Farrell 1958   36  0.6134  0.0032  0.0735  0.2824  0.4331  0.35
Ferenczy 1958   60  0.5465  0.0071  0.0469  0.0441  0.1767  0.08
Fliere 1977   9  0.7014  0.0113  0.1310  0.6133  0.2226  0.37
Fou 1978   13  0.6729  0.0025  0.0723  0.4025  0.3527  0.37
Francois 1956   76  0.4551  0.0080  0.0386  0.0346  0.0683  0.04
Friedman 1923   55  0.5682  0.0066  0.0654  0.0639  0.2060  0.11
Friedman 1923b   54  0.5669  0.0064  0.0748  0.0738  0.2452  0.13
Friedman 1930   56  0.5686  0.0065  0.0558  0.0534  0.3056  0.12
Garcia 2007   70  0.4977  0.0076  0.0380  0.0363  0.0488  0.03
Garcia 2007b   69  0.4932  0.0069  0.0476  0.0482  0.0389  0.03
Gierzod 1998   12  0.6727  0.0014  0.1413  0.5935  0.3519  0.45
Gornostaeva 1994   41  0.5961  0.0050  0.0557  0.0526  0.3353  0.13
Groot 1988   64  0.5373  0.0049  0.0467  0.0439  0.1273  0.07
Harasiewicz 1955   2  0.765  0.032  0.272  0.766  0.701  0.73
Hatto 1993   25  0.6536  0.0035  0.1131  0.3134  0.2336  0.27
Hatto 1997   20  0.6678  0.0033  0.0730  0.3240  0.1639  0.23
Horowitz 1949   73  0.4754  0.0079  0.0287  0.0252  0.0685  0.03
Indjic 1988   23  0.6540  0.0034  0.0632  0.3140  0.1938  0.24
Kapell 1951   28  0.6337  0.008  0.128  0.6411  0.4714  0.55
Kissin 1993   11  0.6813  0.0118  0.1818  0.5431  0.4018  0.46
Kushner 1989   31  0.6343  0.0037  0.0837  0.2144  0.1344  0.17
Luisada 1991   10  0.6944  0.0019  0.1520  0.4816  0.4517  0.46
Lushtak 2004   38  0.6060  0.0058  0.0655  0.0647  0.0871  0.07
Malcuzynski 1961   44  0.5912  0.0110  0.1215  0.564  0.659  0.60
Magaloff 1978   47  0.5945  0.0060  0.0846  0.0824  0.3147  0.16
Magin 1975   19  0.6641  0.0017  0.1416  0.5524  0.4316  0.49
Michalowski 1933   85  0.4287  0.0084  0.0288  0.0254  0.0687  0.03
Milkina 1970   5  0.713  0.033  0.273  0.746  0.672  0.70
Mohovich 1999   16  0.6711  0.0116  0.1312  0.619  0.666  0.63
Moravec 1969   46  0.5938  0.0022  0.0825  0.385  0.6715  0.50
Morozova 2008   32  0.6256  0.0036  0.0839  0.1936  0.2541  0.22
Neighaus 1950   72  0.4888  0.0083  0.0479  0.0459  0.0582  0.04
Niedzielski 1931   63  0.5374  0.0061  0.0653  0.0636  0.2057  0.11
Ohlsson 1999   58  0.5515  0.0144  0.0644  0.1372  0.0469  0.07
Osinska 1989   7  0.717  0.027  0.135  0.7126  0.508  0.60
Pachmann 1927   74  0.4623  0.0085  0.0381  0.0324  0.3858  0.11
Paderewski 1930   88  0.3289  0.0088  0.0477  0.0475  0.0386  0.03
Perlemuter 1992   68  0.5062  0.0077  0.0384  0.0363  0.0484  0.03
Pierdomenico 2008   86  0.4270  0.0082  0.0385  0.0368  0.0579  0.04
Poblocka 1999   33  0.6226  0.0024  0.0722  0.4137  0.3129  0.36
Rabcewiczowa 1932   66  0.5233  0.0048  0.0461  0.0462  0.0480  0.04
Rachmaninoff 1923   21  0.6539  0.0023  0.0821  0.4615  0.4122  0.43
Rangell 2001   78  0.4522  0.0063  0.0747  0.0716  0.4643  0.18
Richter 1976   53  0.5731  0.0057  0.0656  0.0634  0.3748  0.15
Rosen 1989   27  0.6425  0.0031  0.0729  0.3229  0.2933  0.30
Rosenthal 1930   77  0.4566  0.0075  0.0472  0.0432  0.2761  0.10
Rosenthal 1931   75  0.4675  0.0068  0.0468  0.0413  0.5549  0.15
Rosenthal 1931b   81  0.4355  0.0074  0.0382  0.0322  0.4159  0.11
Rosenthal 1931c   79  0.4579  0.0072  0.0474  0.0424  0.4054  0.13
Rosenthal 1931d   80  0.4464  0.0073  0.0473  0.0416  0.5350  0.15
Rossi 2007   51  0.5824  0.0059  0.0649  0.067  0.5542  0.18
Rubinstein 1939   49  0.5852  0.0046  0.0462  0.0419  0.3955  0.12
Rubinstein 1952   62  0.5457  0.0038  0.0741  0.1733  0.3040  0.23
Rubinstein 1966   22  0.6542  0.0026  0.0826  0.3826  0.4224  0.40
Schilhawsky 1960   42  0.5983  0.0056  0.0652  0.0643  0.1066  0.08
Shebanova 2002   39  0.6049  0.0045  0.0645  0.1278  0.0470  0.07
Smith 1975   30  0.6317  0.0141  0.0738  0.2025  0.3137  0.25
Sokolov 2002   59  0.5521  0.0027  0.0727  0.3811  0.4723  0.42
Sztompka 1959   43  0.5990  0.0055  0.0650  0.0659  0.0576  0.05
Tomsic 1995   65  0.5348  0.0062  0.0651  0.0619  0.4845  0.17
Uninsky 1932   45  0.5930  0.0029  0.0733  0.3026  0.4330  0.36
Uninsky 1971   57  0.5547  0.0047  0.0464  0.0454  0.0677  0.05
Wasowski 1980   50  0.5872  0.0051  0.0460  0.0451  0.0775  0.05
Zak 1937   6  0.7116  0.016  0.147  0.648  0.624  0.63
Zak 1951   8  0.712  0.045  0.146  0.667  0.615  0.63
Average   1  0.811  0.641  0.631  0.8628  0.3612  0.56
Random 1   90  -0.0891  0.0090  0.0190  0.0148  0.0490  0.02
Random 2   89  -0.0180  0.0089  0.0289  0.0222  0.3068  0.08
Random 3   91  -0.0867  0.0091  0.0191  0.0146  0.0591  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).