Neighaus 1950

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   20  0.6128  0.0022  0.0922  0.4212  0.4726  0.44
Anderszewski 2003   70  0.4287  0.0064  0.0469  0.0432  0.2366  0.10
Ashkenazy 1981   23  0.6043  0.0027  0.0730  0.2824  0.3535  0.31
Bacha 2000   59  0.4930  0.0073  0.0468  0.0423  0.4057  0.13
Badura 1965   79  0.3688  0.0078  0.0471  0.0465  0.0487  0.04
Barbosa 1983   55  0.5144  0.0033  0.0729  0.287  0.5628  0.40
Biret 1990   17  0.6237  0.0025  0.1128  0.367  0.5625  0.45
Blet 2003   27  0.5958  0.0029  0.0819  0.464  0.5522  0.50
Block 1995   47  0.557  0.0230  0.0634  0.217  0.5431  0.34
Blumental 1952   80  0.3652  0.0075  0.0475  0.0442  0.1181  0.07
Boshniakovich 1969   13  0.6511  0.0123  0.0916  0.504  0.6912  0.59
Brailowsky 1960   57  0.5073  0.0072  0.0377  0.0334  0.1778  0.07
Bunin 1987   31  0.5889  0.0049  0.0558  0.0524  0.3659  0.13
Bunin 1987b   30  0.5855  0.0050  0.0846  0.0824  0.3548  0.17
Chiu 1999   41  0.5519  0.0021  0.1118  0.469  0.6218  0.53
Cohen 1997   82  0.3448  0.0080  0.0286  0.0243  0.1184  0.05
Cortot 1951   56  0.5114  0.0143  0.0538  0.1625  0.3338  0.23
Csalog 1996   74  0.4059  0.0087  0.0465  0.0462  0.0586  0.04
Czerny 1949   42  0.5560  0.0036  0.0633  0.2115  0.5630  0.34
Czerny 1990   43  0.5574  0.0039  0.0645  0.1133  0.2250  0.16
Duchoud 2007   33  0.5863  0.0041  0.0543  0.1314  0.4737  0.25
Ezaki 2006   5  0.6922  0.005  0.1114  0.554  0.669  0.60
Falvay 1989   32  0.5850  0.0032  0.0731  0.2514  0.3933  0.31
Farrell 1958   21  0.616  0.0217  0.1123  0.411  0.7016  0.54
Ferenczy 1958   77  0.3869  0.0086  0.0476  0.0451  0.0683  0.05
Fliere 1977   8  0.6839  0.0013  0.1213  0.556  0.6311  0.59
Fou 1978   19  0.6212  0.0119  0.1021  0.427  0.5223  0.47
Francois 1956   16  0.6375  0.008  0.1212  0.563  0.668  0.61
Friedman 1923   85  0.3380  0.0068  0.0381  0.039  0.4663  0.12
Friedman 1923b   81  0.3576  0.0067  0.0473  0.047  0.5156  0.14
Friedman 1930   67  0.4567  0.0055  0.0561  0.0514  0.5049  0.16
Garcia 2007   83  0.3461  0.0082  0.0287  0.0218  0.4372  0.09
Garcia 2007b   86  0.3284  0.0085  0.0383  0.0320  0.3670  0.10
Gierzod 1998   26  0.6077  0.0034  0.0832  0.249  0.4232  0.32
Gornostaeva 1994   4  0.6926  0.006  0.125  0.605  0.666  0.63
Groot 1988   9  0.6713  0.0115  0.169  0.575  0.5913  0.58
Harasiewicz 1955   34  0.585  0.023  0.153  0.652  0.5610  0.60
Hatto 1993   71  0.4268  0.0070  0.0466  0.0436  0.1876  0.08
Hatto 1997   66  0.4615  0.0154  0.0654  0.0631  0.2264  0.11
Horowitz 1949   35  0.5834  0.0046  0.0560  0.0513  0.3954  0.14
Indjic 1988   72  0.4254  0.0069  0.0382  0.0339  0.1580  0.07
Kapell 1951   50  0.5462  0.0062  0.0559  0.0546  0.0979  0.07
Kissin 1993   37  0.5745  0.0038  0.0641  0.1325  0.3243  0.20
Kushner 1989   40  0.5690  0.0057  0.0655  0.0629  0.2560  0.12
Luisada 1991   44  0.5524  0.0035  0.0640  0.1420  0.3439  0.22
Lushtak 2004   18  0.628  0.0120  0.1020  0.456  0.5820  0.51
Malcuzynski 1961   3  0.7070  0.0012  0.0810  0.5710  0.5117  0.54
Magaloff 1978   6  0.6820  0.0014  0.126  0.604  0.5514  0.57
Magin 1975   63  0.4842  0.0065  0.0467  0.0432  0.2171  0.09
Michalowski 1933   69  0.4332  0.0060  0.0562  0.0531  0.3061  0.12
Milkina 1970   45  0.5527  0.0052  0.0847  0.0821  0.3647  0.17
Mohovich 1999   7  0.6816  0.0010  0.128  0.572  0.743  0.65
Moravec 1969   65  0.4746  0.0066  0.0472  0.0441  0.1177  0.07
Morozova 2008   46  0.5518  0.0026  0.0825  0.3712  0.4029  0.38
Neighaus 1950   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Niedzielski 1931   76  0.4078  0.0081  0.0288  0.0257  0.0489  0.03
Ohlsson 1999   11  0.663  0.0318  0.1224  0.3813  0.4427  0.41
Osinska 1989   25  0.6010  0.0124  0.0926  0.378  0.5624  0.46
Pachmann 1927   53  0.5229  0.0051  0.0748  0.0714  0.5344  0.19
Paderewski 1930   54  0.5164  0.0045  0.0742  0.1320  0.3441  0.21
Perlemuter 1992   38  0.574  0.0211  0.0917  0.497  0.6115  0.55
Pierdomenico 2008   49  0.5438  0.0053  0.0651  0.068  0.5246  0.18
Poblocka 1999   39  0.5666  0.0040  0.0537  0.1735  0.2045  0.18
Rabcewiczowa 1932   24  0.6023  0.0028  0.0727  0.365  0.7021  0.50
Rachmaninoff 1923   58  0.4971  0.0031  0.0736  0.1913  0.4736  0.30
Rangell 2001   28  0.5933  0.0048  0.0652  0.0611  0.4351  0.16
Richter 1976   73  0.4041  0.0083  0.0385  0.0351  0.0585  0.04
Rosen 1989   2  0.7317  0.002  0.192  0.712  0.772  0.74
Rosenthal 1930   68  0.4572  0.0071  0.0378  0.0331  0.3568  0.10
Rosenthal 1931   84  0.3465  0.0079  0.0470  0.0436  0.1874  0.08
Rosenthal 1931b   78  0.3879  0.0076  0.0379  0.0324  0.3469  0.10
Rosenthal 1931c   52  0.5240  0.0059  0.0556  0.0515  0.4952  0.16
Rosenthal 1931d   75  0.4081  0.0077  0.0380  0.0328  0.2275  0.08
Rossi 2007   87  0.2482  0.0084  0.0384  0.0313  0.3665  0.10
Rubinstein 1939   88  0.2485  0.0088  0.0474  0.0470  0.0388  0.03
Rubinstein 1952   62  0.4849  0.0074  0.0564  0.0537  0.1673  0.09
Rubinstein 1966   51  0.5251  0.0063  0.0650  0.0631  0.3058  0.13
Schilhawsky 1960   61  0.4983  0.0061  0.0563  0.0534  0.2267  0.10
Shebanova 2002   36  0.5856  0.0056  0.0749  0.0733  0.3055  0.14
Smith 1975   15  0.6425  0.004  0.114  0.644  0.617  0.62
Sokolov 2002   22  0.6057  0.0042  0.0644  0.1230  0.3442  0.20
Sztompka 1959   29  0.5847  0.0047  0.0557  0.0515  0.4553  0.15
Tomsic 1995   10  0.6721  0.0016  0.1315  0.528  0.5319  0.52
Uninsky 1932   60  0.4935  0.0058  0.0653  0.0623  0.2662  0.12
Uninsky 1971   48  0.5531  0.0037  0.0735  0.2117  0.4534  0.31
Wasowski 1980   64  0.4836  0.0044  0.0639  0.1526  0.3040  0.21
Zak 1937   12  0.662  0.039  0.1211  0.573  0.705  0.63
Zak 1951   14  0.659  0.017  0.117  0.583  0.704  0.64
Average   1  0.811  0.721  0.721  0.892  0.711  0.79
Random 1   89  0.0253  0.0089  0.0289  0.0229  0.2182  0.06
Random 2   91  -0.0686  0.0091  0.0191  0.0179  0.0291  0.01
Random 3   90  0.0191  0.0090  0.0190  0.0174  0.0390  0.02

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).