Neighaus 1950

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.6654  0.0015  0.1914  0.5421  0.4514  0.49
Anderszewski 2003   22  0.5983  0.0036  0.0935  0.1945  0.1039  0.14
Ashkenazy 1981   14  0.6111  0.0213  0.167  0.604  0.614  0.60
Bacha 2000   56  0.5066  0.0066  0.0649  0.0649  0.0560  0.05
Badura 1965   37  0.5436  0.0050  0.0563  0.0536  0.3044  0.12
Barbosa 1983   77  0.4064  0.0075  0.0556  0.0578  0.0474  0.04
Biret 1990   51  0.5233  0.0059  0.0557  0.0575  0.0479  0.04
Blet 2003   53  0.5125  0.0052  0.0555  0.0515  0.4040  0.14
Block 1995   58  0.5021  0.0138  0.0538  0.1631  0.2232  0.19
Blumental 1952   74  0.4455  0.0067  0.0474  0.0466  0.0477  0.04
Boshniakovich 1969   4  0.688  0.034  0.195  0.6212  0.583  0.60
Brailowsky 1960   72  0.4561  0.0076  0.0480  0.0471  0.0569  0.04
Bunin 1987   65  0.4837  0.0054  0.0561  0.0518  0.4435  0.15
Bunin 1987b   71  0.4624  0.0058  0.0550  0.0521  0.4037  0.14
Chiu 1999   70  0.4762  0.0068  0.0565  0.0559  0.0561  0.05
Cohen 1997   84  0.3267  0.0083  0.0387  0.0365  0.0485  0.03
Cortot 1951   60  0.4952  0.0053  0.0553  0.0528  0.3941  0.14
Csalog 1996   87  0.3187  0.0080  0.0477  0.0483  0.0382  0.03
Czerny 1949   6  0.685  0.0411  0.1612  0.5616  0.5410  0.55
Czerny 1990   16  0.6043  0.0033  0.0733  0.2455  0.0645  0.12
Duchoud 2007   75  0.4342  0.0072  0.0552  0.0542  0.1552  0.09
Ezaki 2006   67  0.4884  0.0074  0.0559  0.0579  0.0468  0.04
Falvay 1989   79  0.3969  0.0082  0.0385  0.0377  0.0380  0.03
Farrell 1958   32  0.564  0.0522  0.0732  0.2551  0.0742  0.13
Ferenczy 1958   63  0.4839  0.0060  0.0466  0.0438  0.2651  0.10
Fliere 1977   11  0.6471  0.0016  0.1717  0.5145  0.1128  0.24
Fou 1978   50  0.5288  0.0037  0.0536  0.1846  0.0649  0.10
Francois 1956   20  0.6010  0.0227  0.0624  0.353  0.6417  0.47
Friedman 1923   10  0.6429  0.0012  0.1815  0.548  0.588  0.56
Friedman 1923b   9  0.656  0.048  0.1513  0.557  0.626  0.58
Friedman 1930   15  0.6170  0.0025  0.0723  0.3718  0.5119  0.43
Garcia 2007   66  0.4851  0.0073  0.0647  0.0649  0.0659  0.06
Garcia 2007b   46  0.5353  0.0041  0.0440  0.1464  0.0458  0.07
Gierzod 1998   5  0.683  0.075  0.244  0.6925  0.467  0.56
Gornostaeva 1994   28  0.5735  0.0046  0.0471  0.0443  0.1357  0.07
Groot 1988   59  0.5030  0.0043  0.0443  0.1259  0.0554  0.08
Harasiewicz 1955   13  0.6149  0.0020  0.1720  0.4443  0.1526  0.26
Hatto 1993   23  0.597  0.046  0.168  0.5916  0.4115  0.49
Hatto 1997   21  0.5959  0.009  0.1811  0.5718  0.3916  0.47
Horowitz 1949   49  0.5256  0.0040  0.0441  0.1323  0.4629  0.24
Indjic 1988   17  0.6022  0.017  0.1810  0.5918  0.4211  0.50
Kapell 1951   55  0.5180  0.0049  0.0467  0.0463  0.0473  0.04
Kissin 1993   12  0.6312  0.0214  0.139  0.5920  0.519  0.55
Kushner 1989   26  0.5857  0.0047  0.0564  0.0557  0.0563  0.05
Luisada 1991   44  0.5345  0.0051  0.0648  0.0646  0.0955  0.07
Lushtak 2004   25  0.5846  0.0024  0.0722  0.3931  0.2923  0.34
Malcuzynski 1961   57  0.5047  0.0044  0.0444  0.0953  0.0556  0.07
Magaloff 1978   54  0.5163  0.0064  0.0475  0.0468  0.0471  0.04
Magin 1975   35  0.5520  0.0132  0.0727  0.3151  0.0543  0.12
Michalowski 1933   45  0.5328  0.0045  0.0445  0.0816  0.4631  0.19
Milkina 1970   48  0.5365  0.0065  0.0560  0.0568  0.0564  0.05
Mohovich 1999   69  0.4885  0.0069  0.0554  0.0565  0.0478  0.04
Moravec 1969   86  0.3286  0.0086  0.0386  0.0388  0.0290  0.02
Morozova 2008   42  0.5427  0.0048  0.0558  0.0550  0.0667  0.05
Neighaus 1950   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Niedzielski 1931   31  0.5726  0.0021  0.0930  0.2720  0.4222  0.34
Ohlsson 1999   7  0.6723  0.0010  0.146  0.6012  0.565  0.58
Osinska 1989   19  0.6050  0.0031  0.0629  0.2955  0.0736  0.14
Pachmann 1927   64  0.4868  0.0078  0.0469  0.0433  0.2550  0.10
Paderewski 1930   36  0.5515  0.0130  0.0642  0.135  0.6125  0.28
Perlemuter 1992   43  0.5448  0.0057  0.0551  0.0533  0.2247  0.10
Pierdomenico 2008   73  0.4514  0.0163  0.0479  0.0437  0.2548  0.10
Poblocka 1999   29  0.5734  0.0018  0.1419  0.4728  0.4218  0.44
Rabcewiczowa 1932   61  0.4841  0.0070  0.0746  0.0770  0.0462  0.05
Rachmaninoff 1923   39  0.5416  0.0142  0.0539  0.1563  0.0453  0.08
Rangell 2001   68  0.4818  0.0161  0.0476  0.0429  0.3546  0.12
Richter 1976   30  0.5738  0.0034  0.0831  0.2719  0.5220  0.37
Rosen 1989   52  0.5189  0.0056  0.0468  0.0478  0.0476  0.04
Rosenthal 1930   76  0.4072  0.0077  0.0478  0.0452  0.0475  0.04
Rosenthal 1931   85  0.3274  0.0087  0.0472  0.0473  0.0381  0.03
Rosenthal 1931b   83  0.3390  0.0085  0.0384  0.0379  0.0387  0.03
Rosenthal 1931c   82  0.3475  0.0084  0.0483  0.0478  0.0388  0.03
Rosenthal 1931d   88  0.2876  0.0088  0.0482  0.0484  0.0386  0.03
Rossi 2007   78  0.4077  0.0081  0.0388  0.0356  0.0570  0.04
Rubinstein 1939   62  0.4817  0.0162  0.0481  0.0468  0.0472  0.04
Rubinstein 1952   80  0.3844  0.0071  0.0470  0.0481  0.0389  0.03
Rubinstein 1966   38  0.5440  0.0055  0.0473  0.0458  0.0666  0.05
Schilhawsky 1960   18  0.6013  0.0219  0.2116  0.5121  0.4912  0.50
Shebanova 2002   3  0.719  0.023  0.313  0.719  0.572  0.64
Smith 1975   40  0.5419  0.0135  0.0834  0.2340  0.1730  0.20
Sokolov 2002   33  0.5631  0.0028  0.0628  0.3025  0.3124  0.30
Sztompka 1959   1  0.751  0.291  0.282  0.754  0.671  0.71
Tomsic 1995   81  0.3732  0.0079  0.0562  0.0574  0.0565  0.05
Uninsky 1932   47  0.5358  0.0039  0.0537  0.1642  0.2133  0.18
Uninsky 1971   24  0.5973  0.0017  0.2018  0.4920  0.5013  0.49
Wasowski 1980   27  0.5760  0.0023  0.0721  0.4032  0.3021  0.35
Zak 1937   34  0.5578  0.0026  0.0625  0.3551  0.0734  0.16
Zak 1951   41  0.5479  0.0029  0.0626  0.3158  0.0638  0.14
Average   2  0.742  0.222  0.381  0.7749  0.0827  0.25
Random 1   91  -0.1091  0.0089  0.0290  0.0250  0.0483  0.03
Random 2   90  -0.0981  0.0091  0.0191  0.0188  0.0291  0.01
Random 3   89  -0.0882  0.0090  0.0289  0.0275  0.0484  0.03

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).