Milkina 1970

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.4122  0.0010  0.128  0.6515  0.5510  0.60
Anderszewski 2003   16  0.3518  0.0023  0.1019  0.5019  0.5114  0.50
Ashkenazy 1981   43  0.2358  0.0050  0.0654  0.0661  0.0652  0.06
Bacha 2000   25  0.2948  0.0040  0.0931  0.3533  0.2626  0.30
Badura 1965   53  0.1749  0.0072  0.0376  0.0363  0.0479  0.03
Barbosa 1983   27  0.2828  0.0042  0.1136  0.2946  0.0737  0.14
Biret 1990   14  0.3724  0.0014  0.1511  0.648  0.717  0.67
Blet 2003   60  0.1636  0.0073  0.0373  0.0379  0.0377  0.03
Block 1995   77  0.0866  0.0057  0.0559  0.0577  0.0470  0.04
Blumental 1952   39  0.2440  0.0049  0.0849  0.0867  0.0451  0.06
Boshniakovich 1969   84  0.0167  0.0069  0.0377  0.0383  0.0381  0.03
Brailowsky 1960   65  0.1371  0.0074  0.0370  0.0371  0.0471  0.03
Bunin 1987   78  0.0853  0.0082  0.0289  0.0281  0.0388  0.02
Bunin 1987b   76  0.0829  0.0083  0.0375  0.0384  0.0374  0.03
Chiu 1999   19  0.3238  0.0037  0.0627  0.3963  0.0536  0.14
Cohen 1997   34  0.2514  0.0117  0.0923  0.4426  0.4518  0.44
Cortot 1951   52  0.1768  0.0060  0.0750  0.0757  0.0553  0.06
Csalog 1996   72  0.1072  0.0065  0.0369  0.0366  0.0568  0.04
Czerny 1949   3  0.473  0.083  0.363  0.769  0.811  0.78
Czerny 1990   47  0.2178  0.0059  0.0652  0.0663  0.0560  0.05
Duchoud 2007   20  0.3169  0.0029  0.0828  0.3946  0.0831  0.18
Ezaki 2006   40  0.2334  0.0034  0.0842  0.1848  0.0842  0.12
Falvay 1989   2  0.501  0.261  0.262  0.782  0.643  0.71
Farrell 1958   31  0.2626  0.0036  0.0641  0.2245  0.1035  0.15
Ferenczy 1958   15  0.3641  0.0021  0.1216  0.545  0.836  0.67
Fliere 1977   81  0.0459  0.0085  0.0285  0.0286  0.0383  0.02
Fou 1978   28  0.2873  0.0043  0.0939  0.2361  0.0445  0.10
Francois 1956   11  0.3916  0.019  0.1310  0.658  0.734  0.69
Friedman 1923   89  0.0079  0.0089  0.0288  0.0277  0.0390  0.02
Friedman 1923b   87  0.0085  0.0088  0.0284  0.0286  0.0389  0.02
Friedman 1930   86  0.0086  0.0090  0.0290  0.0288  0.0286  0.02
Garcia 2007   79  0.0720  0.0053  0.0462  0.0455  0.0659  0.05
Garcia 2007b   74  0.0927  0.0068  0.0378  0.0368  0.0482  0.03
Gierzod 1998   73  0.1074  0.0076  0.0558  0.0572  0.0469  0.04
Gornostaeva 1994   29  0.2754  0.0026  0.1322  0.4624  0.5315  0.49
Groot 1988   37  0.2470  0.0032  0.0734  0.3462  0.0639  0.14
Harasiewicz 1955   9  0.404  0.084  0.149  0.6515  0.5012  0.57
Hatto 1993   8  0.4010  0.0112  0.1313  0.6035  0.2621  0.39
Hatto 1997   4  0.435  0.077  0.187  0.6512  0.5211  0.58
Horowitz 1949   50  0.1846  0.0051  0.0651  0.0675  0.0456  0.05
Indjic 1988   12  0.3812  0.0113  0.1314  0.5740  0.2124  0.35
Kapell 1951   24  0.2942  0.0016  0.0924  0.4440  0.1430  0.25
Kissin 1993   62  0.1380  0.0066  0.0463  0.0461  0.0657  0.05
Kushner 1989   46  0.2175  0.0054  0.0561  0.0578  0.0465  0.04
Luisada 1991   44  0.2281  0.0039  0.0738  0.2560  0.0544  0.11
Lushtak 2004   80  0.0787  0.0080  0.0382  0.0388  0.0287  0.02
Malcuzynski 1961   71  0.1050  0.0078  0.0372  0.0381  0.0375  0.03
Magaloff 1978   82  0.0362  0.0071  0.0371  0.0387  0.0372  0.03
Magin 1975   58  0.1639  0.0062  0.0465  0.0465  0.0564  0.04
Michalowski 1933   59  0.1613  0.0141  0.1040  0.2251  0.0743  0.12
Milkina 1970   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Mohovich 1999   35  0.2530  0.0028  0.1026  0.4143  0.1828  0.27
Moravec 1969   7  0.4043  0.006  0.205  0.708  0.655  0.67
Morozova 2008   26  0.2821  0.0044  0.0843  0.1753  0.0646  0.10
Neighaus 1950   18  0.329  0.0215  0.1912  0.6233  0.2919  0.42
Niedzielski 1931   54  0.1751  0.0052  0.0560  0.0582  0.0363  0.04
Ohlsson 1999   32  0.2563  0.0045  0.0745  0.1458  0.0547  0.08
Osinska 1989   42  0.237  0.0419  0.1020  0.4831  0.4217  0.45
Pachmann 1927   83  0.0144  0.0086  0.0287  0.0281  0.0385  0.02
Paderewski 1930   69  0.1155  0.0070  0.0381  0.0379  0.0376  0.03
Perlemuter 1992   85  0.0188  0.0087  0.0286  0.0288  0.0284  0.02
Pierdomenico 2008   68  0.116  0.0427  0.1135  0.3034  0.2527  0.27
Poblocka 1999   67  0.1182  0.0075  0.0464  0.0475  0.0461  0.04
Rabcewiczowa 1932   21  0.3117  0.0118  0.1015  0.5717  0.688  0.62
Rachmaninoff 1923   49  0.1983  0.0058  0.0653  0.0655  0.0555  0.05
Rangell 2001   33  0.2545  0.0024  0.0925  0.4331  0.2725  0.34
Richter 1976   75  0.0835  0.0079  0.0466  0.0475  0.0466  0.04
Rosen 1989   57  0.1689  0.0055  0.0557  0.0588  0.0280  0.03
Rosenthal 1930   45  0.2164  0.0046  0.0946  0.0956  0.0548  0.07
Rosenthal 1931   38  0.2452  0.0033  0.0737  0.2732  0.4723  0.36
Rosenthal 1931b   48  0.2084  0.0047  0.0847  0.0836  0.3932  0.18
Rosenthal 1931c   56  0.1660  0.0048  0.0848  0.0864  0.0454  0.06
Rosenthal 1931d   51  0.1733  0.0031  0.0644  0.1628  0.4129  0.26
Rossi 2007   90  -0.0561  0.0077  0.0379  0.0357  0.0562  0.04
Rubinstein 1939   1  0.522  0.252  0.421  0.791  0.752  0.77
Rubinstein 1952   22  0.3031  0.0025  0.1118  0.5126  0.4116  0.46
Rubinstein 1966   5  0.428  0.035  0.164  0.726  0.539  0.62
Schilhawsky 1960   70  0.1015  0.0184  0.0380  0.0370  0.0478  0.03
Shebanova 2002   63  0.1356  0.0064  0.0468  0.0465  0.0658  0.05
Smith 1975   23  0.3023  0.0020  0.0929  0.3927  0.4320  0.41
Sokolov 2002   17  0.3347  0.0022  0.0917  0.5314  0.5113  0.52
Sztompka 1959   61  0.1557  0.0056  0.0556  0.0574  0.0467  0.04
Tomsic 1995   41  0.2376  0.0030  0.0632  0.3452  0.0540  0.13
Uninsky 1932   30  0.2725  0.0035  0.0633  0.3467  0.0541  0.13
Uninsky 1971   13  0.3811  0.0111  0.1221  0.4630  0.2822  0.36
Wasowski 1980   36  0.2590  0.0038  0.0830  0.3752  0.0634  0.15
Zak 1937   64  0.1391  0.0067  0.0374  0.0371  0.0473  0.03
Zak 1951   55  0.1665  0.0061  0.0655  0.0646  0.0750  0.06
Average   10  0.4019  0.008  0.186  0.6877  0.0433  0.16
Random 1   88  0.0037  0.0081  0.0283  0.0235  0.2249  0.07
Random 2   66  0.1232  0.0063  0.0467  0.045  0.5138  0.14
Random 3   91  -0.1077  0.0091  0.0191  0.0181  0.0291  0.01

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).