Neighaus 1950

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   24  0.405  0.048  0.1410  0.509  0.579  0.53
Anderszewski 2003   72  0.2987  0.0060  0.0555  0.0561  0.0567  0.05
Ashkenazy 1981   15  0.4260  0.0021  0.1016  0.4522  0.4713  0.46
Bacha 2000   74  0.2871  0.0074  0.0376  0.0346  0.0763  0.05
Badura 1965   81  0.2456  0.0079  0.0381  0.0380  0.0387  0.03
Barbosa 1983   51  0.3465  0.0051  0.0465  0.0452  0.0766  0.05
Biret 1990   34  0.3728  0.0035  0.0736  0.2333  0.3528  0.28
Blet 2003   6  0.452  0.162  0.185  0.574  0.663  0.61
Block 1995   39  0.366  0.0413  0.0728  0.3233  0.2626  0.29
Blumental 1952   85  0.2081  0.0085  0.0287  0.0278  0.0488  0.03
Boshniakovich 1969   1  0.487  0.044  0.192  0.6418  0.546  0.59
Brailowsky 1960   75  0.2890  0.0061  0.0462  0.0442  0.1353  0.07
Bunin 1987   73  0.2868  0.0073  0.0471  0.0463  0.0477  0.04
Bunin 1987b   78  0.2766  0.0078  0.0469  0.0481  0.0381  0.03
Chiu 1999   45  0.3525  0.0049  0.0463  0.0473  0.0470  0.04
Cohen 1997   49  0.3429  0.0027  0.0738  0.2030  0.4724  0.31
Cortot 1951   54  0.3324  0.0024  0.0933  0.2516  0.5121  0.36
Csalog 1996   66  0.3173  0.0071  0.0374  0.0370  0.0483  0.03
Czerny 1949   23  0.4059  0.0032  0.0829  0.3122  0.5716  0.42
Czerny 1990   50  0.3439  0.0047  0.0558  0.0566  0.0478  0.04
Duchoud 2007   55  0.3314  0.0150  0.0461  0.0430  0.3045  0.11
Ezaki 2006   53  0.3472  0.0057  0.0646  0.0654  0.0756  0.06
Falvay 1989   68  0.3076  0.0075  0.0464  0.0471  0.0472  0.04
Farrell 1958   42  0.3688  0.0053  0.0552  0.0543  0.1350  0.08
Ferenczy 1958   84  0.2244  0.0076  0.0378  0.0343  0.1952  0.08
Fliere 1977   25  0.4026  0.0026  0.0722  0.3959  0.0535  0.14
Fou 1978   47  0.3545  0.0044  0.0644  0.1256  0.0551  0.08
Francois 1956   12  0.4311  0.029  0.128  0.537  0.722  0.62
Friedman 1923   9  0.4421  0.005  0.223  0.6113  0.604  0.60
Friedman 1923b   5  0.461  0.291  0.281  0.647  0.681  0.66
Friedman 1930   27  0.3946  0.0041  0.0739  0.1929  0.3430  0.25
Garcia 2007   77  0.2735  0.0081  0.0288  0.0257  0.0586  0.03
Garcia 2007b   80  0.2657  0.0083  0.0382  0.0358  0.0579  0.04
Gierzod 1998   44  0.3538  0.0054  0.0647  0.0659  0.0662  0.06
Gornostaeva 1994   16  0.4223  0.0023  0.1019  0.4222  0.4814  0.45
Groot 1988   33  0.3731  0.0029  0.0726  0.3650  0.0539  0.13
Harasiewicz 1955   4  0.474  0.047  0.166  0.5438  0.1923  0.32
Hatto 1993   26  0.3930  0.0016  0.0724  0.3736  0.1829  0.26
Hatto 1997   41  0.3653  0.0037  0.0737  0.2052  0.0546  0.10
Horowitz 1949   70  0.2967  0.0077  0.0379  0.0354  0.0575  0.04
Indjic 1988   36  0.3785  0.0034  0.0735  0.2355  0.0641  0.12
Kapell 1951   65  0.3186  0.0065  0.0557  0.0555  0.0665  0.05
Kissin 1993   29  0.3816  0.0131  0.0927  0.3334  0.4219  0.37
Kushner 1989   52  0.3480  0.0067  0.0467  0.0478  0.0474  0.04
Luisada 1991   46  0.3551  0.0055  0.0549  0.0546  0.0858  0.06
Lushtak 2004   37  0.3747  0.0042  0.0741  0.1841  0.0843  0.12
Malcuzynski 1961   63  0.3182  0.0072  0.0466  0.0487  0.0382  0.03
Magaloff 1978   20  0.4141  0.0028  0.0823  0.3730  0.2822  0.32
Magin 1975   64  0.3132  0.0068  0.0380  0.0378  0.0480  0.03
Michalowski 1933   71  0.2927  0.0069  0.0373  0.0340  0.1755  0.07
Milkina 1970   57  0.3217  0.0146  0.0550  0.0546  0.0860  0.06
Mohovich 1999   43  0.3663  0.0030  0.0832  0.2543  0.0934  0.15
Moravec 1969   67  0.3048  0.0058  0.0551  0.0545  0.0757  0.06
Morozova 2008   31  0.3810  0.0233  0.0731  0.2549  0.0642  0.12
Neighaus 1950   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Niedzielski 1931   69  0.2954  0.0059  0.0559  0.0549  0.0564  0.05
Ohlsson 1999   3  0.473  0.123  0.1712  0.5022  0.3317  0.41
Osinska 1989   8  0.4474  0.0019  0.0717  0.4429  0.3318  0.38
Pachmann 1927   40  0.3643  0.0040  0.0640  0.1923  0.4325  0.29
Paderewski 1930   32  0.3718  0.0117  0.0721  0.416  0.6411  0.51
Perlemuter 1992   38  0.3764  0.0045  0.0648  0.0629  0.2838  0.13
Pierdomenico 2008   48  0.3419  0.0166  0.0470  0.0441  0.1354  0.07
Poblocka 1999   59  0.3234  0.0048  0.0745  0.0764  0.0559  0.06
Rabcewiczowa 1932   19  0.4115  0.0114  0.0913  0.4915  0.5610  0.52
Rachmaninoff 1923   79  0.2677  0.0062  0.0553  0.0574  0.0371  0.04
Rangell 2001   14  0.439  0.0310  0.107  0.5310  0.558  0.54
Richter 1976   22  0.4022  0.0038  0.0642  0.1769  0.0548  0.09
Rosen 1989   10  0.4450  0.0020  0.0918  0.4426  0.2920  0.36
Rosenthal 1930   62  0.3284  0.0063  0.0554  0.0529  0.4236  0.14
Rosenthal 1931   86  0.1869  0.0086  0.0377  0.0358  0.0576  0.04
Rosenthal 1931b   83  0.2237  0.0080  0.0385  0.0345  0.0869  0.05
Rosenthal 1931c   58  0.3252  0.0052  0.0560  0.0524  0.3837  0.14
Rosenthal 1931d   87  0.1883  0.0087  0.0372  0.0368  0.0489  0.03
Rossi 2007   82  0.2261  0.0084  0.0383  0.0340  0.2049  0.08
Rubinstein 1939   61  0.3278  0.0056  0.0556  0.0558  0.0473  0.04
Rubinstein 1952   30  0.3879  0.0036  0.0830  0.2953  0.0640  0.13
Rubinstein 1966   17  0.4236  0.0015  0.0814  0.4864  0.0631  0.17
Schilhawsky 1960   76  0.2833  0.0082  0.0386  0.0366  0.0484  0.03
Shebanova 2002   11  0.4375  0.0022  0.1120  0.4253  0.0732  0.17
Smith 1975   18  0.4142  0.0012  0.1111  0.5010  0.617  0.55
Sokolov 2002   13  0.4313  0.0218  0.0715  0.4611  0.5212  0.49
Sztompka 1959   2  0.478  0.036  0.184  0.6015  0.585  0.59
Tomsic 1995   56  0.3249  0.0064  0.0468  0.0448  0.0861  0.06
Uninsky 1932   60  0.3255  0.0070  0.0375  0.0370  0.0485  0.03
Uninsky 1971   21  0.4158  0.0025  0.0725  0.3737  0.2127  0.28
Wasowski 1980   7  0.4512  0.0211  0.139  0.5132  0.3615  0.43
Zak 1937   28  0.3920  0.0139  0.0634  0.2444  0.1033  0.15
Zak 1951   35  0.3740  0.0043  0.0843  0.1654  0.0547  0.09
Random 1   88  0.0270  0.0088  0.0384  0.038  0.4744  0.12
Random 2   89  -0.0589  0.0090  0.0190  0.0179  0.0290  0.01
Random 3   90  -0.0562  0.0089  0.0289  0.0240  0.1468  0.05

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).