Michalowski 1933

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   69  0.2459  0.0057  0.0558  0.0582  0.0279  0.03
Anderszewski 2003   13  0.4619  0.0111  0.1012  0.4516  0.489  0.46
Ashkenazy 1981   1  0.561  0.241  0.242  0.5816  0.461  0.52
Bacha 2000   79  0.1617  0.0163  0.0381  0.0361  0.0471  0.03
Badura 1965   52  0.3277  0.0066  0.0462  0.0458  0.0466  0.04
Barbosa 1983   61  0.2964  0.0044  0.0743  0.1552  0.0548  0.09
Biret 1990   37  0.3784  0.0037  0.0636  0.2637  0.1831  0.22
Blet 2003   31  0.3835  0.0017  0.0719  0.4128  0.3022  0.35
Block 1995   44  0.3615  0.0149  0.0647  0.0630  0.2438  0.12
Blumental 1952   26  0.4042  0.0014  0.0714  0.426  0.5011  0.46
Boshniakovich 1969   42  0.3655  0.0061  0.0475  0.0469  0.0381  0.03
Brailowsky 1960   75  0.2047  0.0080  0.0464  0.0483  0.0372  0.03
Bunin 1987   34  0.3867  0.0030  0.0727  0.3638  0.1828  0.25
Bunin 1987b   32  0.3868  0.0031  0.0826  0.3639  0.1727  0.25
Chiu 1999   46  0.3534  0.0043  0.0641  0.1753  0.0547  0.09
Cohen 1997   76  0.1921  0.0179  0.0470  0.0469  0.0469  0.04
Cortot 1951   28  0.3976  0.0028  0.0820  0.4021  0.3521  0.37
Csalog 1996   81  0.1437  0.0078  0.0384  0.0360  0.0563  0.04
Czerny 1949   40  0.3672  0.0038  0.0642  0.1643  0.1335  0.14
Czerny 1990   14  0.4569  0.0018  0.0716  0.4241  0.1429  0.24
Duchoud 2007   9  0.4624  0.017  0.1211  0.4518  0.4413  0.44
Ezaki 2006   50  0.3380  0.0062  0.0552  0.0578  0.0355  0.04
Falvay 1989   77  0.1825  0.0159  0.0461  0.0473  0.0457  0.04
Farrell 1958   68  0.2586  0.0064  0.0472  0.0482  0.0374  0.03
Ferenczy 1958   54  0.3178  0.0023  0.0732  0.2918  0.4023  0.34
Fliere 1977   18  0.4430  0.0040  0.0639  0.1755  0.0545  0.09
Fou 1978   82  0.1370  0.0082  0.0473  0.0483  0.0375  0.03
Francois 1956   64  0.2862  0.0056  0.0463  0.0483  0.0385  0.03
Friedman 1923   45  0.3653  0.0027  0.0830  0.336  0.5117  0.41
Friedman 1923b   41  0.3661  0.0026  0.0929  0.349  0.5015  0.41
Friedman 1930   6  0.4914  0.0119  0.0717  0.4210  0.526  0.47
Garcia 2007   49  0.3365  0.0054  0.0460  0.049  0.6334  0.16
Garcia 2007b   24  0.4211  0.0225  0.0725  0.363  0.713  0.51
Gierzod 1998   43  0.3648  0.0034  0.0728  0.3551  0.0536  0.13
Gornostaeva 1994   51  0.3257  0.0050  0.0554  0.0573  0.0370  0.04
Groot 1988   47  0.3520  0.0146  0.0648  0.0659  0.0454  0.05
Harasiewicz 1955   20  0.4349  0.0033  0.0735  0.2654  0.0444  0.10
Hatto 1993   33  0.3850  0.0016  0.0713  0.4213  0.4116  0.41
Hatto 1997   60  0.2958  0.0024  0.0938  0.2421  0.3625  0.29
Horowitz 1949   62  0.2954  0.0072  0.0477  0.0480  0.0377  0.03
Indjic 1988   48  0.3532  0.0012  0.0722  0.3816  0.3720  0.37
Kapell 1951   5  0.495  0.053  0.206  0.4719  0.457  0.46
Kissin 1993   74  0.2173  0.0077  0.0380  0.0385  0.0287  0.02
Kushner 1989   25  0.4028  0.0022  0.1024  0.3628  0.2824  0.32
Luisada 1991   19  0.4416  0.0120  0.0815  0.4224  0.3419  0.38
Lushtak 2004   59  0.3085  0.0055  0.0553  0.0578  0.0367  0.04
Malcuzynski 1961   39  0.3663  0.0047  0.0649  0.0673  0.0359  0.04
Magaloff 1978   36  0.379  0.0248  0.0556  0.0563  0.0356  0.04
Magin 1975   29  0.3910  0.0251  0.0551  0.0531  0.2242  0.10
Michalowski 1933   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Milkina 1970   78  0.188  0.0273  0.0474  0.0477  0.0458  0.04
Mohovich 1999   65  0.2771  0.0065  0.0466  0.0470  0.0468  0.04
Moravec 1969   66  0.2738  0.0045  0.0545  0.1155  0.0551  0.07
Morozova 2008   27  0.3926  0.0039  0.0637  0.2462  0.0443  0.10
Neighaus 1950   22  0.4341  0.0035  0.0631  0.3062  0.0539  0.12
Niedzielski 1931   57  0.3039  0.0058  0.0746  0.0734  0.1441  0.10
Ohlsson 1999   17  0.4427  0.0013  0.0718  0.4240  0.1330  0.23
Osinska 1989   21  0.4333  0.0041  0.0544  0.1446  0.0740  0.10
Pachmann 1927   83  0.1245  0.0083  0.0478  0.0479  0.0378  0.03
Paderewski 1930   7  0.4731  0.0015  0.099  0.4516  0.4114  0.43
Perlemuter 1992   35  0.387  0.0329  0.0733  0.2739  0.1432  0.19
Pierdomenico 2008   53  0.3274  0.0074  0.0379  0.0374  0.0373  0.03
Poblocka 1999   11  0.466  0.045  0.195  0.4712  0.4312  0.45
Rabcewiczowa 1932   12  0.4644  0.0032  0.1023  0.3721  0.4318  0.40
Rachmaninoff 1923   55  0.3136  0.0053  0.0559  0.0550  0.0552  0.05
Rangell 2001   71  0.2329  0.0075  0.0382  0.0385  0.0289  0.02
Richter 1976   58  0.3012  0.0260  0.0555  0.0569  0.0362  0.04
Rosen 1989   38  0.3775  0.0052  0.0650  0.0668  0.0453  0.05
Rosenthal 1930   63  0.2879  0.0070  0.0469  0.0457  0.0465  0.04
Rosenthal 1931   87  0.0689  0.0086  0.0287  0.0282  0.0288  0.02
Rosenthal 1931b   85  0.0887  0.0084  0.0476  0.0488  0.0283  0.03
Rosenthal 1931c   72  0.2381  0.0076  0.0468  0.0478  0.0384  0.03
Rosenthal 1931d   86  0.0690  0.0087  0.0385  0.0375  0.0382  0.03
Rossi 2007   56  0.3023  0.0168  0.0383  0.0320  0.2946  0.09
Rubinstein 1939   89  0.0246  0.0089  0.0286  0.0283  0.0386  0.02
Rubinstein 1952   84  0.0860  0.0088  0.0288  0.0279  0.0390  0.02
Rubinstein 1966   80  0.1683  0.0081  0.0465  0.0459  0.0564  0.04
Schilhawsky 1960   10  0.4618  0.0110  0.1010  0.4510  0.515  0.48
Shebanova 2002   30  0.3913  0.0142  0.0640  0.1760  0.0549  0.09
Smith 1975   16  0.4556  0.0021  0.0721  0.3973  0.0437  0.12
Sokolov 2002   8  0.473  0.116  0.173  0.5717  0.414  0.48
Sztompka 1959   2  0.562  0.172  0.244  0.494  0.532  0.51
Tomsic 1995   67  0.2566  0.0069  0.0467  0.0468  0.0461  0.04
Uninsky 1932   4  0.4922  0.019  0.168  0.4612  0.4710  0.46
Uninsky 1971   15  0.4551  0.008  0.177  0.4615  0.478  0.46
Wasowski 1980   23  0.4252  0.0036  0.0734  0.2733  0.2326  0.25
Zak 1937   73  0.2243  0.0071  0.0471  0.0486  0.0376  0.03
Zak 1951   70  0.2440  0.0067  0.0557  0.0577  0.0360  0.04
Average   3  0.514  0.054  0.231  0.6760  0.0433  0.16
Random 1   90  -0.0291  0.0090  0.0290  0.0246  0.0680  0.03
Random 2   91  -0.0488  0.0091  0.0191  0.0180  0.0291  0.01
Random 3   88  0.0482  0.0085  0.0289  0.0217  0.3650  0.08

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).