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  0.4121  0.009  0.127  0.6514  0.5510  0.60
Anderszewski 2003   15  0.3518  0.0022  0.1118  0.5018  0.5114  0.50
Ashkenazy 1981   42  0.2357  0.0049  0.0653  0.0660  0.0651  0.06
Bacha 2000   24  0.2947  0.0039  0.0930  0.3532  0.2626  0.30
Badura 1965   52  0.1748  0.0071  0.0375  0.0362  0.0478  0.03
Barbosa 1983   26  0.2827  0.0041  0.1135  0.2945  0.0736  0.14
Biret 1990   13  0.3723  0.0013  0.1510  0.648  0.717  0.67
Blet 2003   59  0.1635  0.0072  0.0372  0.0378  0.0376  0.03
Block 1995   76  0.0865  0.0056  0.0558  0.0576  0.0469  0.04
Blumental 1952   38  0.2439  0.0048  0.0848  0.0866  0.0450  0.06
Boshniakovich 1969   83  0.0166  0.0068  0.0376  0.0382  0.0380  0.03
Brailowsky 1960   64  0.1370  0.0073  0.0369  0.0370  0.0470  0.03
Bunin 1987   77  0.0852  0.0081  0.0288  0.0280  0.0387  0.02
Bunin 1987b   75  0.0828  0.0082  0.0374  0.0383  0.0373  0.03
Chiu 1999   18  0.3237  0.0036  0.0626  0.3962  0.0535  0.14
Cohen 1997   33  0.2514  0.0116  0.0922  0.4425  0.4518  0.44
Cortot 1951   51  0.1767  0.0059  0.0749  0.0756  0.0552  0.06
Csalog 1996   71  0.1071  0.0064  0.0368  0.0365  0.0567  0.04
Czerny 1949   3  0.473  0.083  0.363  0.769  0.811  0.78
Czerny 1990   46  0.2177  0.0058  0.0651  0.0662  0.0559  0.05
Duchoud 2007   19  0.3168  0.0028  0.0827  0.3945  0.0831  0.18
Ezaki 2006   39  0.2333  0.0033  0.0841  0.1847  0.0841  0.12
Falvay 1989   2  0.501  0.261  0.262  0.781  0.643  0.71
Farrell 1958   30  0.2625  0.0035  0.0640  0.2244  0.1034  0.15
Ferenczy 1958   14  0.3640  0.0020  0.1215  0.545  0.836  0.67
Fliere 1977   80  0.0458  0.0084  0.0284  0.0285  0.0382  0.02
Fou 1978   27  0.2872  0.0042  0.0938  0.2360  0.0444  0.10
Francois 1956   10  0.3916  0.018  0.139  0.658  0.734  0.69
Friedman 1923   88  0.0078  0.0088  0.0287  0.0276  0.0389  0.02
Friedman 1923b   86  0.0084  0.0087  0.0283  0.0285  0.0388  0.02
Friedman 1930   85  0.0085  0.0089  0.0289  0.0287  0.0285  0.02
Garcia 2007   78  0.0719  0.0052  0.0561  0.0554  0.0658  0.05
Garcia 2007b   73  0.0926  0.0067  0.0377  0.0367  0.0481  0.03
Gierzod 1998   72  0.1073  0.0075  0.0557  0.0571  0.0468  0.04
Gornostaeva 1994   28  0.2753  0.0025  0.1421  0.4623  0.5315  0.49
Groot 1988   36  0.2469  0.0031  0.0733  0.3461  0.0638  0.14
Harasiewicz 1955   9  0.404  0.084  0.148  0.6514  0.5012  0.57
Hatto 1993   8  0.4010  0.0111  0.1312  0.6034  0.2621  0.39
Hatto 1997   4  0.435  0.077  0.206  0.6511  0.5211  0.58
Horowitz 1949   49  0.1845  0.0050  0.0650  0.0674  0.0455  0.05
Indjic 1988   11  0.3812  0.0112  0.1313  0.5739  0.2124  0.35
Kapell 1951   23  0.2941  0.0015  0.0923  0.4439  0.1430  0.25
Kissin 1993   61  0.1379  0.0065  0.0462  0.0460  0.0656  0.05
Kushner 1989   45  0.2174  0.0053  0.0560  0.0577  0.0464  0.04
Luisada 1991   43  0.2280  0.0038  0.0737  0.2559  0.0543  0.11
Lushtak 2004   79  0.0786  0.0079  0.0381  0.0387  0.0286  0.02
Malcuzynski 1961   70  0.1049  0.0077  0.0371  0.0380  0.0374  0.03
Magaloff 1978   81  0.0361  0.0070  0.0370  0.0386  0.0371  0.03
Magin 1975   57  0.1638  0.0061  0.0464  0.0464  0.0563  0.04
Michalowski 1933   58  0.1613  0.0140  0.1039  0.2250  0.0742  0.12
Milkina 1970   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Mohovich 1999   34  0.2529  0.0027  0.1025  0.4142  0.1828  0.27
Moravec 1969   7  0.4042  0.006  0.235  0.707  0.655  0.67
Morozova 2008   25  0.2820  0.0043  0.0842  0.1752  0.0645  0.10
Neighaus 1950   17  0.329  0.0214  0.1911  0.6232  0.2919  0.42
Niedzielski 1931   53  0.1750  0.0051  0.0559  0.0581  0.0362  0.04
Ohlsson 1999   31  0.2562  0.0044  0.0744  0.1457  0.0546  0.08
Osinska 1989   41  0.237  0.0418  0.1019  0.4830  0.4217  0.45
Pachmann 1927   82  0.0143  0.0085  0.0286  0.0280  0.0384  0.02
Paderewski 1930   68  0.1154  0.0069  0.0380  0.0378  0.0375  0.03
Perlemuter 1992   84  0.0187  0.0086  0.0285  0.0287  0.0283  0.02
Pierdomenico 2008   67  0.116  0.0426  0.1134  0.3033  0.2527  0.27
Poblocka 1999   66  0.1181  0.0074  0.0463  0.0474  0.0460  0.04
Rabcewiczowa 1932   20  0.3117  0.0117  0.1014  0.5716  0.688  0.62
Rachmaninoff 1923   48  0.1982  0.0057  0.0652  0.0654  0.0554  0.05
Rangell 2001   32  0.2544  0.0023  0.0924  0.4330  0.2725  0.34
Richter 1976   74  0.0834  0.0078  0.0465  0.0474  0.0465  0.04
Rosen 1989   56  0.1688  0.0054  0.0556  0.0587  0.0279  0.03
Rosenthal 1930   44  0.2163  0.0045  0.0945  0.0955  0.0548  0.07
Rosenthal 1931   37  0.2451  0.0032  0.0736  0.2731  0.4723  0.36
Rosenthal 1931b   47  0.2083  0.0046  0.0846  0.0835  0.3932  0.18
Rosenthal 1931c   55  0.1659  0.0047  0.0847  0.0863  0.0453  0.06
Rosenthal 1931d   50  0.1730  0.0030  0.0643  0.1627  0.4129  0.26
Rossi 2007   89  -0.0560  0.0076  0.0378  0.0356  0.0561  0.04
Rubinstein 1939   1  0.522  0.252  0.421  0.791  0.752  0.77
Rubinstein 1952   21  0.3031  0.0024  0.1217  0.5125  0.4116  0.46
Rubinstein 1966   5  0.428  0.035  0.164  0.725  0.539  0.62
Schilhawsky 1960   69  0.1015  0.0183  0.0379  0.0369  0.0477  0.03
Shebanova 2002   62  0.1355  0.0063  0.0467  0.0464  0.0657  0.05
Smith 1975   22  0.3022  0.0019  0.0928  0.3926  0.4320  0.41
Sokolov 2002   16  0.3346  0.0021  0.0916  0.5313  0.5113  0.52
Sztompka 1959   60  0.1556  0.0055  0.0555  0.0573  0.0466  0.04
Tomsic 1995   40  0.2375  0.0029  0.0631  0.3451  0.0539  0.13
Uninsky 1932   29  0.2724  0.0034  0.0632  0.3466  0.0540  0.13
Uninsky 1971   12  0.3811  0.0110  0.1220  0.4629  0.2822  0.36
Wasowski 1980   35  0.2589  0.0037  0.0829  0.3751  0.0633  0.15
Zak 1937   63  0.1390  0.0066  0.0373  0.0370  0.0472  0.03
Zak 1951   54  0.1664  0.0060  0.0654  0.0645  0.0749  0.06
Random 1   87  0.0036  0.0080  0.0382  0.0332  0.2147  0.08
Random 2   65  0.1232  0.0062  0.0466  0.045  0.5137  0.14
Random 3   90  -0.1076  0.0090  0.0190  0.0179  0.0290  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).