Friedman 1923b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.6431  0.0010  0.108  0.5831  0.3511  0.45
Anderszewski 2003   20  0.5814  0.0028  0.1136  0.3045  0.0538  0.12
Ashkenazy 1981   18  0.5919  0.0013  0.1415  0.5322  0.3713  0.44
Bacha 2000   52  0.4764  0.0056  0.0653  0.0668  0.0453  0.05
Badura 1965   9  0.6345  0.0015  0.1116  0.5112  0.547  0.52
Barbosa 1983   59  0.4565  0.0063  0.0468  0.0474  0.0467  0.04
Biret 1990   53  0.4766  0.0059  0.0562  0.0562  0.0472  0.04
Blet 2003   62  0.436  0.0066  0.0470  0.0468  0.0383  0.03
Block 1995   50  0.4767  0.0048  0.0655  0.0649  0.0651  0.06
Blumental 1952   41  0.5124  0.0042  0.0543  0.1351  0.0545  0.08
Boshniakovich 1969   26  0.5646  0.0019  0.0819  0.4848  0.0722  0.18
Brailowsky 1960   51  0.4732  0.0064  0.0648  0.0651  0.0648  0.06
Bunin 1987   76  0.3568  0.0049  0.0563  0.0542  0.1940  0.10
Bunin 1987b   77  0.3369  0.0057  0.0469  0.0444  0.1247  0.07
Chiu 1999   33  0.5470  0.0046  0.0649  0.0649  0.0650  0.06
Cohen 1997   83  0.3071  0.0084  0.0287  0.0284  0.0389  0.02
Cortot 1951   68  0.3972  0.0075  0.0381  0.0374  0.0387  0.03
Csalog 1996   87  0.2373  0.0085  0.0384  0.0386  0.0382  0.03
Czerny 1949   13  0.6133  0.007  0.197  0.6028  0.449  0.51
Czerny 1990   14  0.6174  0.0017  0.1214  0.5356  0.0623  0.18
Duchoud 2007   72  0.3647  0.0071  0.0564  0.0568  0.0469  0.04
Ezaki 2006   23  0.5648  0.0037  0.1037  0.2447  0.0733  0.13
Falvay 1989   78  0.3320  0.0086  0.0474  0.0481  0.0377  0.03
Farrell 1958   47  0.4949  0.0062  0.0565  0.0571  0.0465  0.04
Ferenczy 1958   55  0.4637  0.0051  0.0558  0.0542  0.1542  0.09
Fliere 1977   12  0.6134  0.0021  0.1128  0.4275  0.0434  0.13
Fou 1978   44  0.5035  0.0052  0.0560  0.0561  0.0556  0.05
Francois 1956   61  0.4475  0.0055  0.0561  0.0560  0.0475  0.04
Friedman 1923   1  0.981  0.991  0.981  0.991  0.991  0.99
Friedman 1923b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1930   2  0.844  0.002  0.772  0.872  0.892  0.88
Garcia 2007   65  0.4150  0.0076  0.0476  0.0459  0.0570  0.04
Garcia 2007b   48  0.4838  0.0045  0.0746  0.0779  0.0361  0.05
Gierzod 1998   21  0.577  0.0020  0.0822  0.4645  0.0720  0.18
Gornostaeva 1994   40  0.5176  0.0038  0.0838  0.2271  0.0346  0.08
Groot 1988   69  0.3939  0.0068  0.0647  0.0672  0.0459  0.05
Harasiewicz 1955   8  0.6325  0.0016  0.1011  0.5549  0.0528  0.17
Hatto 1993   5  0.7077  0.004  0.274  0.7110  0.505  0.60
Hatto 1997   4  0.7051  0.006  0.415  0.709  0.524  0.60
Horowitz 1949   43  0.5178  0.0036  0.0832  0.3623  0.4615  0.41
Indjic 1988   3  0.7179  0.005  0.423  0.719  0.523  0.61
Kapell 1951   66  0.4152  0.0060  0.0652  0.0675  0.0457  0.05
Kissin 1993   36  0.5480  0.0030  0.1118  0.4848  0.0626  0.17
Kushner 1989   45  0.5081  0.0054  0.0559  0.0587  0.0279  0.03
Luisada 1991   10  0.6113  0.0014  0.1817  0.4919  0.3714  0.43
Lushtak 2004   39  0.5253  0.0053  0.0557  0.0571  0.0471  0.04
Malcuzynski 1961   56  0.4621  0.0039  0.0841  0.1756  0.0444  0.08
Magaloff 1978   58  0.4554  0.0058  0.0567  0.0555  0.0555  0.05
Magin 1975   28  0.5517  0.0025  0.0829  0.4058  0.0435  0.13
Michalowski 1933   54  0.4782  0.0047  0.0656  0.0643  0.1839  0.10
Milkina 1970   38  0.5283  0.0033  0.0931  0.3765  0.0531  0.14
Mohovich 1999   57  0.4555  0.0061  0.0745  0.0765  0.0458  0.05
Moravec 1969   75  0.358  0.0072  0.0472  0.0459  0.0562  0.04
Morozova 2008   25  0.5615  0.0031  0.0934  0.3445  0.0632  0.14
Neighaus 1950   6  0.659  0.003  0.206  0.6212  0.556  0.58
Niedzielski 1931   16  0.6010  0.0012  0.1213  0.536  0.508  0.51
Ohlsson 1999   24  0.5626  0.0026  0.1035  0.3364  0.0536  0.13
Osinska 1989   29  0.5540  0.0034  0.0930  0.3961  0.0530  0.14
Pachmann 1927   70  0.385  0.0083  0.0385  0.0361  0.0481  0.03
Paderewski 1930   71  0.3784  0.0070  0.0471  0.0458  0.0466  0.04
Perlemuter 1992   63  0.4327  0.0067  0.0651  0.0658  0.0454  0.05
Pierdomenico 2008   84  0.2885  0.0082  0.0382  0.0382  0.0378  0.03
Poblocka 1999   49  0.4841  0.0043  0.0642  0.1383  0.0349  0.06
Rabcewiczowa 1932   67  0.4011  0.0069  0.0650  0.0686  0.0364  0.04
Rachmaninoff 1923   17  0.5986  0.0022  0.0923  0.4634  0.2318  0.33
Rangell 2001   85  0.2756  0.0078  0.0380  0.0367  0.0485  0.03
Richter 1976   46  0.492  0.0040  0.0839  0.1735  0.3319  0.24
Rosen 1989   31  0.5557  0.0029  0.0926  0.4246  0.0821  0.18
Rosenthal 1930   73  0.363  0.0073  0.0378  0.0369  0.0384  0.03
Rosenthal 1931   80  0.3222  0.0079  0.0477  0.0463  0.0468  0.04
Rosenthal 1931b   81  0.3158  0.0080  0.0383  0.0362  0.0573  0.04
Rosenthal 1931c   79  0.3223  0.0077  0.0475  0.0463  0.0474  0.04
Rosenthal 1931d   82  0.3159  0.0081  0.0286  0.0273  0.0486  0.03
Rossi 2007   60  0.4418  0.0074  0.0379  0.0362  0.0476  0.03
Rubinstein 1939   42  0.5128  0.0044  0.0744  0.1348  0.0543  0.08
Rubinstein 1952   74  0.3660  0.0065  0.0566  0.0557  0.0560  0.05
Rubinstein 1966   32  0.5516  0.0041  0.0640  0.1765  0.0541  0.09
Schilhawsky 1960   22  0.5642  0.0027  0.1021  0.4750  0.0627  0.17
Shebanova 2002   30  0.5543  0.0018  0.0724  0.4458  0.0529  0.15
Smith 1975   35  0.5412  0.0035  0.1033  0.3566  0.0437  0.12
Sokolov 2002   64  0.4229  0.0050  0.0654  0.0675  0.0363  0.04
Sztompka 1959   19  0.5936  0.0024  0.0820  0.4753  0.0625  0.17
Tomsic 1995   86  0.2487  0.0087  0.0473  0.0483  0.0380  0.03
Uninsky 1932   37  0.5488  0.0023  0.0925  0.4235  0.3317  0.37
Uninsky 1971   34  0.5489  0.008  0.159  0.5728  0.4010  0.48
Wasowski 1980   27  0.5561  0.0032  0.1327  0.4251  0.0724  0.17
Zak 1937   11  0.6162  0.009  0.1810  0.5627  0.3512  0.44
Zak 1951   15  0.6144  0.0011  0.1512  0.5532  0.2916  0.40
Random 1   89  -0.1363  0.0088  0.0288  0.0231  0.1652  0.06
Random 2   88  -0.0830  0.0089  0.0189  0.0178  0.0388  0.02
Random 3   90  -0.1590  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).