Friedman 1923b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   49  0.2968  0.0053  0.0471  0.0440  0.1445  0.07
Anderszewski 2003   73  0.2219  0.0074  0.0474  0.0475  0.0382  0.03
Ashkenazy 1981   8  0.4330  0.006  0.216  0.7017  0.565  0.63
Bacha 2000   81  0.1869  0.0079  0.0385  0.0379  0.0376  0.03
Badura 1965   22  0.3970  0.0017  0.1122  0.527  0.5710  0.54
Barbosa 1983   48  0.2936  0.0059  0.0559  0.0569  0.0554  0.05
Biret 1990   68  0.2471  0.0064  0.0564  0.0571  0.0472  0.04
Blet 2003   21  0.3915  0.0025  0.1323  0.4819  0.4717  0.47
Block 1995   17  0.4037  0.0019  0.1317  0.5528  0.3519  0.44
Blumental 1952   58  0.2831  0.0057  0.0560  0.0573  0.0557  0.05
Boshniakovich 1969   20  0.3927  0.0015  0.1315  0.5642  0.1628  0.30
Brailowsky 1960   43  0.3138  0.0046  0.0845  0.0838  0.1739  0.12
Bunin 1987   47  0.3072  0.0033  0.0736  0.2958  0.0541  0.12
Bunin 1987b   57  0.2873  0.0045  0.0747  0.0749  0.0648  0.06
Chiu 1999   23  0.3848  0.0028  0.0926  0.4234  0.1729  0.27
Cohen 1997   80  0.1874  0.0081  0.0286  0.0287  0.0287  0.02
Cortot 1951   83  0.1675  0.0082  0.0380  0.0375  0.0385  0.03
Csalog 1996   40  0.3328  0.0049  0.0650  0.0651  0.0749  0.06
Czerny 1949   86  0.1176  0.0086  0.0379  0.0381  0.0383  0.03
Czerny 1990   26  0.3714  0.0020  0.1420  0.5336  0.2722  0.38
Duchoud 2007   51  0.295  0.0041  0.0841  0.1638  0.1333  0.14
Ezaki 2006   75  0.2049  0.0078  0.0384  0.0384  0.0375  0.03
Falvay 1989   71  0.2320  0.0071  0.0561  0.0582  0.0362  0.04
Farrell 1958   59  0.2844  0.0048  0.0653  0.0653  0.0647  0.06
Ferenczy 1958   87  0.0950  0.0087  0.0478  0.0476  0.0469  0.04
Fliere 1977   3  0.4932  0.005  0.233  0.7328  0.3811  0.53
Fou 1978   27  0.3625  0.0024  0.1325  0.4657  0.0532  0.15
Francois 1956   74  0.2251  0.0054  0.0472  0.0448  0.0574  0.04
Friedman 1923   1  0.971  0.991  0.981  1.001  1.001  1.00
Friedman 1923b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1930   2  0.683  0.002  0.842  0.952  0.942  0.94
Garcia 2007   56  0.2829  0.0061  0.0649  0.0651  0.0556  0.05
Garcia 2007b   52  0.2977  0.0052  0.0655  0.0676  0.0459  0.05
Gierzod 1998   70  0.2345  0.0076  0.0468  0.0479  0.0384  0.03
Gornostaeva 1994   67  0.2552  0.0043  0.0644  0.1165  0.0446  0.07
Groot 1988   35  0.347  0.0035  0.0732  0.3551  0.0538  0.13
Harasiewicz 1955   19  0.404  0.0030  0.0829  0.3956  0.0535  0.14
Hatto 1993   31  0.3533  0.0032  0.0928  0.4059  0.0534  0.14
Hatto 1997   65  0.2678  0.0065  0.0652  0.0682  0.0368  0.04
Horowitz 1949   24  0.3821  0.0023  0.1418  0.548  0.638  0.58
Indjic 1988   33  0.3479  0.0034  0.0731  0.3751  0.0731  0.16
Kapell 1951   53  0.2980  0.0060  0.0651  0.0667  0.0553  0.05
Kissin 1993   28  0.3610  0.0031  0.1030  0.3740  0.2726  0.32
Kushner 1989   30  0.358  0.0037  0.1033  0.3467  0.0536  0.13
Luisada 1991   18  0.4053  0.0022  0.1319  0.5433  0.2423  0.36
Lushtak 2004   44  0.3181  0.0044  0.0743  0.1349  0.0544  0.08
Malcuzynski 1961   38  0.3354  0.0050  0.0562  0.0571  0.0464  0.04
Magaloff 1978   12  0.4255  0.0010  0.0914  0.5823  0.3816  0.47
Magin 1975   36  0.3356  0.0040  0.0740  0.1854  0.0543  0.09
Michalowski 1933   39  0.3357  0.0026  0.0938  0.2324  0.3827  0.30
Milkina 1970   78  0.1982  0.0073  0.0565  0.0585  0.0280  0.03
Mohovich 1999   63  0.2758  0.0067  0.0566  0.0566  0.0471  0.04
Moravec 1969   64  0.2622  0.0069  0.0473  0.0475  0.0377  0.03
Morozova 2008   41  0.336  0.0027  0.0935  0.3261  0.0537  0.13
Neighaus 1950   4  0.4634  0.003  0.317  0.681  0.644  0.66
Niedzielski 1931   25  0.3716  0.0011  0.1024  0.4714  0.4618  0.46
Ohlsson 1999   10  0.4283  0.0013  0.1313  0.5916  0.4115  0.49
Osinska 1989   37  0.3323  0.0042  0.0742  0.1656  0.0542  0.09
Pachmann 1927   11  0.422  0.0012  0.1121  0.527  0.619  0.56
Paderewski 1930   42  0.3211  0.0038  0.0939  0.2324  0.4425  0.32
Perlemuter 1992   32  0.3512  0.0036  0.0834  0.3325  0.3724  0.35
Pierdomenico 2008   55  0.2846  0.0063  0.0654  0.0654  0.0452  0.05
Poblocka 1999   34  0.3426  0.0039  0.0837  0.2351  0.0640  0.12
Rabcewiczowa 1932   85  0.1459  0.0084  0.0382  0.0383  0.0379  0.03
Rachmaninoff 1923   15  0.4039  0.009  0.1110  0.6411  0.557  0.59
Rangell 2001   46  0.3084  0.0047  0.0746  0.0747  0.0650  0.06
Richter 1976   14  0.4135  0.0021  0.1016  0.5632  0.3021  0.41
Rosen 1989   9  0.4260  0.0016  0.168  0.6623  0.3020  0.44
Rosenthal 1930   60  0.289  0.0068  0.0475  0.0463  0.0570  0.04
Rosenthal 1931   82  0.1785  0.0083  0.0476  0.0474  0.0466  0.04
Rosenthal 1931b   76  0.1940  0.0077  0.0288  0.0269  0.0388  0.02
Rosenthal 1931c   69  0.2486  0.0062  0.0748  0.0759  0.0551  0.06
Rosenthal 1931d   77  0.1961  0.0075  0.0477  0.0448  0.0658  0.05
Rossi 2007   79  0.1824  0.0080  0.0383  0.0361  0.0561  0.04
Rubinstein 1939   72  0.2362  0.0072  0.0556  0.0588  0.0278  0.03
Rubinstein 1952   50  0.2963  0.0055  0.0567  0.0578  0.0373  0.04
Rubinstein 1966   45  0.3164  0.0058  0.0558  0.0579  0.0367  0.04
Schilhawsky 1960   54  0.2947  0.0051  0.0563  0.0560  0.0555  0.05
Shebanova 2002   6  0.4465  0.004  0.2211  0.6223  0.4613  0.53
Smith 1975   62  0.2741  0.0070  0.0470  0.0470  0.0463  0.04
Sokolov 2002   66  0.2617  0.0066  0.0469  0.0469  0.0460  0.04
Sztompka 1959   16  0.4042  0.0018  0.119  0.6423  0.4214  0.52
Tomsic 1995   84  0.1566  0.0085  0.0381  0.0385  0.0381  0.03
Uninsky 1932   29  0.3667  0.0029  0.0827  0.4141  0.1430  0.24
Uninsky 1971   61  0.2787  0.0056  0.0557  0.0569  0.0465  0.04
Wasowski 1980   7  0.4418  0.008  0.254  0.7223  0.486  0.59
Zak 1937   5  0.4443  0.007  0.245  0.726  0.643  0.68
Zak 1951   13  0.4188  0.0014  0.1612  0.6215  0.4512  0.53
Random 1   88  -0.0689  0.0088  0.0287  0.0268  0.0286  0.02
Random 2   89  -0.0890  0.0089  0.0189  0.0190  0.0189  0.01
Random 3   90  -0.1113  0.0090  0.0190  0.0189  0.0190  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).