Friedman 1923b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   39  0.3252  0.0038  0.0638  0.2030  0.2613  0.23
Anderszewski 2003   36  0.3338  0.0049  0.0746  0.0777  0.0355  0.05
Ashkenazy 1981   23  0.3617  0.0011  0.1017  0.518  0.485  0.49
Bacha 2000   67  0.2568  0.0072  0.0648  0.0659  0.0450  0.05
Badura 1965   5  0.4413  0.006  0.228  0.578  0.484  0.52
Barbosa 1983   40  0.3243  0.0044  0.0740  0.1873  0.0442  0.08
Biret 1990   42  0.3153  0.0039  0.0735  0.2686  0.0246  0.07
Blet 2003   51  0.3010  0.0058  0.0465  0.0459  0.0565  0.04
Block 1995   35  0.3354  0.0026  0.0726  0.3847  0.0719  0.16
Blumental 1952   20  0.3632  0.0031  0.1028  0.3653  0.0626  0.15
Boshniakovich 1969   30  0.3469  0.0019  0.0819  0.4651  0.0617  0.17
Brailowsky 1960   21  0.3628  0.0030  0.0729  0.3651  0.0620  0.15
Bunin 1987   76  0.2055  0.0057  0.0561  0.0586  0.0369  0.04
Bunin 1987b   83  0.1670  0.0075  0.0562  0.0588  0.0363  0.04
Chiu 1999   69  0.2456  0.0077  0.0469  0.0473  0.0375  0.03
Cohen 1997   77  0.2024  0.0060  0.0560  0.0583  0.0368  0.04
Cortot 1951   88  0.0971  0.0088  0.0381  0.0388  0.0289  0.02
Csalog 1996   75  0.2172  0.0079  0.0478  0.0487  0.0278  0.03
Czerny 1949   49  0.3044  0.0048  0.0747  0.0764  0.0548  0.06
Czerny 1990   10  0.4057  0.0012  0.107  0.5859  0.0518  0.17
Duchoud 2007   79  0.2025  0.0076  0.0466  0.0461  0.0567  0.04
Ezaki 2006   63  0.2573  0.0074  0.0564  0.0575  0.0458  0.04
Falvay 1989   24  0.3529  0.0027  0.0730  0.2774  0.0434  0.10
Farrell 1958   71  0.2374  0.0073  0.0474  0.0472  0.0462  0.04
Ferenczy 1958   43  0.3133  0.0036  0.0643  0.1556  0.0640  0.09
Fliere 1977   45  0.3075  0.0063  0.0477  0.0486  0.0373  0.03
Fou 1978   12  0.3911  0.0017  0.1514  0.5366  0.0422  0.15
Francois 1956   37  0.3276  0.009  0.1422  0.4320  0.387  0.40
Friedman 1923   1  0.951  0.981  0.971  0.991  0.991  0.99
Friedman 1923b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1930   2  0.636  0.002  0.642  0.832  0.822  0.82
Garcia 2007   87  0.1534  0.0087  0.0383  0.0384  0.0288  0.02
Garcia 2007b   59  0.2735  0.0070  0.0557  0.0560  0.0557  0.05
Gierzod 1998   32  0.3426  0.0047  0.0652  0.0686  0.0366  0.04
Gornostaeva 1994   19  0.3758  0.0016  0.1316  0.5247  0.0714  0.19
Groot 1988   65  0.2545  0.0055  0.0473  0.0479  0.0382  0.03
Harasiewicz 1955   16  0.3877  0.0025  0.0723  0.4085  0.0332  0.11
Hatto 1993   14  0.3846  0.0010  0.1410  0.5446  0.0615  0.18
Hatto 1997   13  0.3978  0.0015  0.1612  0.5466  0.0425  0.15
Horowitz 1949   58  0.2759  0.0062  0.0556  0.0531  0.2630  0.11
Indjic 1988   15  0.3879  0.0014  0.1015  0.5371  0.0423  0.15
Kapell 1951   78  0.2080  0.0081  0.0289  0.0286  0.0284  0.02
Kissin 1993   52  0.2960  0.0050  0.0651  0.0666  0.0553  0.05
Kushner 1989   29  0.3522  0.0035  0.0636  0.2667  0.0436  0.10
Luisada 1991   27  0.3530  0.0022  0.1020  0.4536  0.219  0.31
Lushtak 2004   22  0.3681  0.0029  0.0625  0.3981  0.0331  0.11
Malcuzynski 1961   60  0.2747  0.0064  0.0476  0.0484  0.0276  0.03
Magaloff 1978   46  0.3082  0.0045  0.0545  0.1071  0.0352  0.05
Magin 1975   44  0.315  0.0053  0.0470  0.0471  0.0461  0.04
Michalowski 1933   81  0.1848  0.0086  0.0287  0.0258  0.0386  0.02
Milkina 1970   17  0.3815  0.0020  0.0918  0.4778  0.0428  0.14
Mohovich 1999   33  0.3349  0.0037  0.0737  0.2070  0.0441  0.09
Moravec 1969   68  0.2431  0.0054  0.0468  0.0478  0.0372  0.03
Morozova 2008   70  0.2418  0.0052  0.0467  0.0485  0.0380  0.03
Neighaus 1950   4  0.4819  0.003  0.4411  0.546  0.593  0.56
Niedzielski 1931   56  0.2827  0.0024  0.0839  0.1961  0.0535  0.10
Ohlsson 1999   28  0.358  0.0042  0.1131  0.2763  0.0437  0.10
Osinska 1989   26  0.3520  0.0033  0.0632  0.2769  0.0433  0.10
Pachmann 1927   72  0.233  0.0078  0.0471  0.0465  0.0377  0.03
Paderewski 1930   74  0.2183  0.0056  0.0479  0.0443  0.1345  0.07
Perlemuter 1992   73  0.2336  0.0061  0.0553  0.0562  0.0459  0.04
Pierdomenico 2008   84  0.1684  0.0085  0.0385  0.0385  0.0283  0.02
Poblocka 1999   54  0.2850  0.0071  0.0554  0.0573  0.0551  0.05
Rabcewiczowa 1932   64  0.2539  0.0040  0.0742  0.1683  0.0343  0.07
Rachmaninoff 1923   34  0.3340  0.0023  0.1024  0.4035  0.2410  0.31
Rangell 2001   62  0.2641  0.0069  0.0558  0.0580  0.0470  0.04
Richter 1976   66  0.252  0.0034  0.0644  0.1154  0.0444  0.07
Rosen 1989   25  0.3551  0.0041  0.0833  0.2766  0.0438  0.10
Rosenthal 1930   47  0.307  0.0068  0.0555  0.0550  0.0556  0.05
Rosenthal 1931   55  0.2885  0.0065  0.0475  0.0462  0.0464  0.04
Rosenthal 1931b   53  0.2861  0.0066  0.0472  0.0453  0.0571  0.04
Rosenthal 1931c   41  0.3214  0.0046  0.0650  0.0654  0.0749  0.06
Rosenthal 1931d   57  0.2762  0.0067  0.0559  0.0545  0.1047  0.07
Rossi 2007   82  0.189  0.0080  0.0384  0.0374  0.0374  0.03
Rubinstein 1939   18  0.3823  0.0021  0.1121  0.4451  0.0521  0.15
Rubinstein 1952   9  0.4163  0.005  0.214  0.6245  0.1211  0.27
Rubinstein 1966   7  0.4216  0.0013  0.109  0.5659  0.0516  0.17
Schilhawsky 1960   80  0.1986  0.0083  0.0380  0.0386  0.0379  0.03
Shebanova 2002   50  0.3064  0.0028  0.0634  0.2757  0.0529  0.12
Smith 1975   6  0.4321  0.007  0.116  0.5828  0.356  0.45
Sokolov 2002   61  0.2737  0.0059  0.0563  0.0577  0.0360  0.04
Sztompka 1959   38  0.3265  0.0043  0.0741  0.1855  0.0539  0.09
Tomsic 1995   86  0.1687  0.0084  0.0382  0.0389  0.0285  0.02
Uninsky 1932   85  0.1688  0.0082  0.0386  0.0386  0.0287  0.02
Uninsky 1971   48  0.3089  0.0051  0.0649  0.0671  0.0454  0.05
Wasowski 1980   31  0.3490  0.0032  0.0927  0.3764  0.0527  0.14
Zak 1937   8  0.4166  0.008  0.125  0.6037  0.248  0.38
Zak 1951   11  0.4042  0.0018  0.1613  0.5341  0.1012  0.23
Average   3  0.504  0.004  0.483  0.7780  0.0324  0.15
Random 1   90  -0.0991  0.0089  0.0288  0.0253  0.0481  0.03
Random 2   89  -0.0812  0.0091  0.0191  0.0188  0.0190  0.01
Random 3   91  -0.1367  0.0090  0.0190  0.0188  0.0191  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).