Milkina 1970

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.4531  0.0024  0.1122  0.501  0.6618  0.57
Anderszewski 2003   11  0.4714  0.009  0.1811  0.666  0.706  0.68
Ashkenazy 1981   47  0.3453  0.0062  0.0467  0.0456  0.0766  0.05
Bacha 2000   35  0.3837  0.0041  0.0641  0.1711  0.5637  0.31
Badura 1965   52  0.3340  0.0054  0.0750  0.0724  0.3145  0.15
Barbosa 1983   17  0.4462  0.0021  0.1217  0.5813  0.5220  0.55
Biret 1990   10  0.476  0.056  0.245  0.742  0.774  0.75
Blet 2003   62  0.2941  0.0073  0.0377  0.0375  0.0386  0.03
Block 1995   78  0.2387  0.0061  0.0561  0.0567  0.0482  0.04
Blumental 1952   29  0.4033  0.0034  0.1033  0.3631  0.3135  0.33
Boshniakovich 1969   59  0.3060  0.0042  0.0644  0.1256  0.0556  0.08
Brailowsky 1960   57  0.3154  0.0074  0.0376  0.0355  0.0671  0.04
Bunin 1987   65  0.2978  0.0067  0.0464  0.0456  0.0583  0.04
Bunin 1987b   61  0.2963  0.0066  0.0562  0.0554  0.0561  0.05
Chiu 1999   37  0.3846  0.0039  0.0740  0.1940  0.1444  0.16
Cohen 1997   46  0.3455  0.0035  0.0937  0.296  0.6430  0.43
Cortot 1951   75  0.2582  0.0070  0.0472  0.0451  0.0767  0.05
Csalog 1996   73  0.2675  0.0072  0.0475  0.0457  0.0580  0.04
Czerny 1949   1  0.561  0.371  0.374  0.743  0.822  0.78
Czerny 1990   24  0.4259  0.0027  0.0924  0.4930  0.4626  0.47
Duchoud 2007   50  0.3371  0.0051  0.0651  0.0625  0.3346  0.14
Ezaki 2006   26  0.4258  0.0015  0.1328  0.4328  0.4231  0.42
Falvay 1989   4  0.525  0.084  0.277  0.703  0.6312  0.66
Farrell 1958   33  0.3818  0.0030  0.1032  0.3611  0.4932  0.42
Ferenczy 1958   49  0.3434  0.0063  0.0556  0.0525  0.5543  0.17
Fliere 1977   54  0.3257  0.0055  0.0465  0.0464  0.0469  0.04
Fou 1978   19  0.449  0.0129  0.0927  0.4426  0.3733  0.40
Francois 1956   18  0.4429  0.0020  0.1219  0.571  0.799  0.67
Friedman 1923   85  0.1856  0.0085  0.0383  0.0374  0.0488  0.03
Friedman 1923b   84  0.1980  0.0084  0.0285  0.0265  0.0587  0.03
Friedman 1930   82  0.1972  0.0082  0.0288  0.0279  0.0389  0.02
Garcia 2007   79  0.2317  0.0052  0.0554  0.0539  0.1455  0.08
Garcia 2007b   69  0.2823  0.0046  0.0848  0.0830  0.2647  0.14
Gierzod 1998   34  0.3868  0.0038  0.1038  0.2441  0.1342  0.18
Gornostaeva 1994   25  0.4243  0.0019  0.1118  0.5711  0.6116  0.59
Groot 1988   31  0.3936  0.0031  0.0930  0.4034  0.2536  0.32
Harasiewicz 1955   5  0.5211  0.015  0.231  0.813  0.665  0.73
Hatto 1993   7  0.4915  0.0011  0.1512  0.6615  0.5415  0.60
Hatto 1997   6  0.517  0.058  0.246  0.725  0.657  0.68
Horowitz 1949   71  0.2749  0.0071  0.0379  0.0349  0.0677  0.04
Indjic 1988   8  0.4930  0.0012  0.1613  0.6615  0.5813  0.62
Kapell 1951   21  0.4313  0.0022  0.1020  0.5516  0.4025  0.47
Kissin 1993   53  0.3266  0.0057  0.0474  0.0462  0.0662  0.05
Kushner 1989   22  0.4350  0.0016  0.0916  0.5822  0.4223  0.49
Luisada 1991   30  0.3926  0.0028  0.0936  0.3026  0.3038  0.30
Lushtak 2004   66  0.2981  0.0059  0.0468  0.0470  0.0481  0.04
Malcuzynski 1961   44  0.3544  0.0044  0.0743  0.1458  0.0554  0.08
Magaloff 1978   67  0.2869  0.0053  0.0653  0.0669  0.0374  0.04
Magin 1975   41  0.3628  0.0047  0.0847  0.0859  0.0558  0.06
Michalowski 1933   77  0.2374  0.0069  0.0470  0.0429  0.3248  0.11
Milkina 1970   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Mohovich 1999   23  0.4222  0.0017  0.0914  0.6211  0.6214  0.62
Moravec 1969   12  0.4616  0.0014  0.1810  0.674  0.6610  0.66
Morozova 2008   14  0.4510  0.0118  0.1015  0.599  0.5517  0.57
Neighaus 1950   55  0.3220  0.0048  0.0846  0.0850  0.0560  0.06
Niedzielski 1931   81  0.2076  0.0080  0.0471  0.0480  0.0384  0.03
Ohlsson 1999   36  0.3812  0.0136  0.1134  0.3629  0.3034  0.33
Osinska 1989   15  0.453  0.127  0.278  0.699  0.6411  0.66
Pachmann 1927   83  0.1942  0.0087  0.0382  0.0372  0.0485  0.03
Paderewski 1930   87  0.1779  0.0086  0.0384  0.0356  0.0579  0.04
Perlemuter 1992   80  0.2290  0.0081  0.0380  0.0362  0.0570  0.04
Pierdomenico 2008   72  0.2719  0.0049  0.0945  0.0920  0.4440  0.20
Poblocka 1999   48  0.3483  0.0058  0.0463  0.0470  0.0472  0.04
Rabcewiczowa 1932   32  0.3827  0.0026  0.1125  0.4812  0.6121  0.54
Rachmaninoff 1923   64  0.2973  0.0065  0.0560  0.0559  0.0475  0.04
Rangell 2001   39  0.3684  0.0037  0.1231  0.3617  0.5327  0.44
Richter 1976   60  0.2970  0.0064  0.0469  0.0468  0.0578  0.04
Rosen 1989   43  0.3525  0.0045  0.0749  0.0759  0.0465  0.05
Rosenthal 1930   68  0.2839  0.0077  0.0557  0.0541  0.1952  0.10
Rosenthal 1931   63  0.2961  0.0075  0.0381  0.0334  0.3749  0.11
Rosenthal 1931b   74  0.2645  0.0079  0.0555  0.0537  0.2350  0.11
Rosenthal 1931c   70  0.2886  0.0076  0.0473  0.0445  0.0668  0.05
Rosenthal 1931d   76  0.2452  0.0078  0.0378  0.0336  0.1757  0.07
Rossi 2007   86  0.1785  0.0083  0.0287  0.0248  0.0773  0.04
Rubinstein 1939   2  0.554  0.112  0.222  0.801  0.781  0.79
Rubinstein 1952   13  0.4624  0.0013  0.159  0.698  0.658  0.67
Rubinstein 1966   3  0.532  0.123  0.283  0.795  0.723  0.75
Schilhawsky 1960   51  0.338  0.0168  0.0559  0.0552  0.0663  0.05
Shebanova 2002   58  0.3065  0.0056  0.0558  0.0573  0.0564  0.05
Smith 1975   28  0.4047  0.0032  0.1035  0.3515  0.5328  0.43
Sokolov 2002   20  0.4335  0.0023  0.1126  0.475  0.6519  0.55
Sztompka 1959   42  0.3564  0.0043  0.0642  0.1541  0.2341  0.19
Tomsic 1995   38  0.3767  0.0033  0.1129  0.4114  0.4529  0.43
Uninsky 1932   40  0.3648  0.0040  0.0839  0.2329  0.2639  0.24
Uninsky 1971   9  0.4821  0.0010  0.1321  0.5311  0.5322  0.53
Wasowski 1980   27  0.4132  0.0025  0.1023  0.4924  0.4624  0.47
Zak 1937   56  0.3188  0.0060  0.0466  0.0467  0.0476  0.04
Zak 1951   45  0.3477  0.0050  0.0652  0.0647  0.0659  0.06
Random 1   89  0.0038  0.0089  0.0289  0.0215  0.4253  0.09
Random 2   88  0.0951  0.0088  0.0286  0.023  0.5151  0.10
Random 3   90  -0.0989  0.0090  0.0190  0.0175  0.0390  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).