Malcuzynski 1961

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   67  0.3413  0.0075  0.0476  0.0457  0.0585  0.04
Anderszewski 2003   55  0.3851  0.0033  0.0830  0.3518  0.5530  0.44
Ashkenazy 1981   26  0.449  0.0038  0.1036  0.2526  0.4136  0.32
Bacha 2000   40  0.4046  0.0047  0.0748  0.079  0.6143  0.21
Badura 1965   51  0.3823  0.0023  0.0741  0.1712  0.5240  0.30
Barbosa 1983   18  0.4612  0.0016  0.0933  0.3330  0.3335  0.33
Biret 1990   86  0.2587  0.0084  0.0387  0.0385  0.0390  0.03
Blet 2003   72  0.3265  0.0081  0.0381  0.0362  0.0488  0.03
Block 1995   25  0.448  0.0125  0.0921  0.498  0.6515  0.56
Blumental 1952   22  0.4431  0.0024  0.0718  0.5011  0.6413  0.57
Boshniakovich 1969   4  0.5317  0.004  0.245  0.677  0.695  0.68
Brailowsky 1960   77  0.2989  0.0080  0.0384  0.0353  0.0680  0.04
Bunin 1987   17  0.4658  0.0029  0.0923  0.473  0.6914  0.57
Bunin 1987b   20  0.4566  0.0030  0.0927  0.443  0.6816  0.55
Chiu 1999   56  0.3871  0.0066  0.0567  0.0553  0.0572  0.05
Cohen 1997   75  0.3055  0.0082  0.0378  0.0344  0.2066  0.08
Cortot 1951   64  0.3528  0.0057  0.0471  0.049  0.6352  0.16
Csalog 1996   73  0.3190  0.0068  0.0561  0.0560  0.0574  0.05
Czerny 1949   42  0.4062  0.0022  0.0729  0.4017  0.6821  0.52
Czerny 1990   21  0.4556  0.0018  0.1022  0.4924  0.5622  0.52
Duchoud 2007   85  0.2615  0.0072  0.0473  0.0447  0.0870  0.06
Ezaki 2006   13  0.4810  0.008  0.129  0.614  0.707  0.65
Falvay 1989   62  0.3580  0.0052  0.0553  0.0556  0.0573  0.05
Farrell 1958   69  0.3424  0.0061  0.0557  0.0536  0.1661  0.09
Ferenczy 1958   88  0.2435  0.0087  0.0380  0.0341  0.2465  0.08
Fliere 1977   3  0.5334  0.006  0.193  0.6812  0.5910  0.63
Fou 1978   33  0.4172  0.0046  0.0649  0.0636  0.2757  0.13
Francois 1956   79  0.2783  0.0083  0.0382  0.0352  0.0587  0.04
Friedman 1923   63  0.3511  0.0071  0.0555  0.0554  0.0677  0.05
Friedman 1923b   70  0.3382  0.0073  0.0472  0.0463  0.0586  0.04
Friedman 1930   60  0.3643  0.0067  0.0568  0.0563  0.0575  0.05
Garcia 2007   57  0.3744  0.0035  0.0932  0.338  0.6327  0.46
Garcia 2007b   37  0.4127  0.0036  0.1031  0.3313  0.6529  0.46
Gierzod 1998   5  0.503  0.023  0.244  0.683  0.723  0.70
Gornostaeva 1994   53  0.3875  0.0045  0.0545  0.1028  0.4445  0.21
Groot 1988   38  0.4126  0.0043  0.0644  0.1243  0.1160  0.11
Harasiewicz 1955   7  0.5061  0.0015  0.0911  0.5625  0.4226  0.48
Hatto 1993   23  0.4467  0.0026  0.0815  0.5220  0.4625  0.49
Hatto 1997   52  0.3819  0.0039  0.1035  0.2926  0.3438  0.31
Horowitz 1949   76  0.3025  0.0078  0.0386  0.0356  0.0582  0.04
Indjic 1988   19  0.4553  0.0010  0.1112  0.5420  0.5418  0.54
Kapell 1951   28  0.445  0.0132  0.0828  0.4422  0.3532  0.39
Kissin 1993   8  0.4921  0.009  0.1010  0.5610  0.758  0.65
Kushner 1989   2  0.562  0.122  0.502  0.746  0.712  0.72
Luisada 1991   66  0.3488  0.0076  0.0377  0.0352  0.0678  0.04
Lushtak 2004   11  0.4945  0.0011  0.098  0.625  0.699  0.65
Malcuzynski 1961   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magaloff 1978   12  0.4922  0.007  0.187  0.633  0.706  0.66
Magin 1975   16  0.4648  0.0027  0.0925  0.4512  0.5919  0.52
Michalowski 1933   80  0.2769  0.0077  0.0383  0.0359  0.0683  0.04
Milkina 1970   65  0.3584  0.0058  0.0559  0.0544  0.1464  0.08
Mohovich 1999   31  0.4238  0.0034  0.0926  0.4523  0.4828  0.46
Moravec 1969   30  0.4341  0.0037  0.0934  0.3317  0.4433  0.38
Morozova 2008   15  0.4750  0.0014  0.1416  0.527  0.5917  0.55
Neighaus 1950   74  0.3191  0.0079  0.0388  0.0367  0.0491  0.03
Niedzielski 1931   39  0.4116  0.0053  0.0650  0.0616  0.4651  0.17
Ohlsson 1999   32  0.4273  0.0051  0.0562  0.0546  0.0869  0.06
Osinska 1989   59  0.3632  0.0041  0.0838  0.2240  0.2044  0.21
Pachmann 1927   45  0.3959  0.0040  0.0742  0.167  0.6137  0.31
Paderewski 1930   50  0.3974  0.0055  0.0558  0.056  0.6548  0.18
Perlemuter 1992   44  0.4037  0.0062  0.0554  0.0524  0.3954  0.14
Pierdomenico 2008   48  0.3929  0.0060  0.0652  0.0615  0.5347  0.18
Poblocka 1999   47  0.3949  0.0020  0.0740  0.1835  0.2941  0.23
Rabcewiczowa 1932   71  0.3277  0.0065  0.0556  0.0545  0.1167  0.07
Rachmaninoff 1923   61  0.3636  0.0063  0.0469  0.0443  0.1663  0.08
Rangell 2001   58  0.3752  0.0056  0.0563  0.0534  0.3856  0.14
Richter 1976   9  0.496  0.0112  0.1314  0.5316  0.6311  0.58
Rosen 1989   41  0.4057  0.0050  0.0566  0.0550  0.0576  0.05
Rosenthal 1930   82  0.2678  0.0088  0.0379  0.0374  0.0489  0.03
Rosenthal 1931   78  0.2963  0.0069  0.0470  0.0425  0.4755  0.14
Rosenthal 1931b   83  0.2686  0.0074  0.0474  0.0430  0.4259  0.13
Rosenthal 1931c   68  0.3460  0.0064  0.0565  0.0522  0.4753  0.15
Rosenthal 1931d   84  0.2681  0.0085  0.0385  0.0329  0.2962  0.09
Rossi 2007   87  0.2554  0.0070  0.0564  0.0510  0.5750  0.17
Rubinstein 1939   54  0.3830  0.0042  0.1039  0.2019  0.4639  0.30
Rubinstein 1952   29  0.4347  0.0028  0.0920  0.4922  0.5224  0.50
Rubinstein 1966   27  0.4433  0.0019  0.0719  0.5024  0.3831  0.44
Schilhawsky 1960   35  0.4114  0.0021  0.0737  0.247  0.5834  0.37
Shebanova 2002   10  0.497  0.0117  0.0913  0.5319  0.5220  0.52
Smith 1975   81  0.2779  0.0086  0.0475  0.0461  0.0581  0.04
Sokolov 2002   46  0.3918  0.0049  0.0747  0.0730  0.4049  0.17
Sztompka 1959   6  0.504  0.0213  0.1317  0.5112  0.6412  0.57
Tomsic 1995   24  0.4420  0.0031  0.0824  0.456  0.5723  0.51
Uninsky 1932   14  0.4840  0.005  0.166  0.654  0.724  0.68
Uninsky 1971   36  0.4170  0.0044  0.0643  0.1431  0.3542  0.22
Wasowski 1980   43  0.4042  0.0059  0.0560  0.0581  0.0479  0.04
Zak 1937   49  0.3968  0.0054  0.0651  0.0629  0.3058  0.13
Zak 1951   34  0.4139  0.0048  0.0846  0.0819  0.4346  0.19
Average   1  0.661  0.731  0.721  0.8912  0.601  0.73
Random 1   90  0.0085  0.0090  0.0190  0.0127  0.3271  0.06
Random 2   89  0.0464  0.0091  0.0191  0.0139  0.1684  0.04
Random 3   91  0.0076  0.0089  0.0189  0.016  0.5068  0.07

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).