Csalog 1996

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.5037  0.0038  0.0638  0.2160  0.0439  0.09
Anderszewski 2003   76  0.1728  0.0051  0.0845  0.0875  0.0347  0.05
Ashkenazy 1981   48  0.3778  0.0031  0.0929  0.2975  0.0340  0.09
Bacha 2000   24  0.4765  0.0037  0.0635  0.2547  0.0627  0.12
Badura 1965   52  0.3471  0.0035  0.0633  0.2659  0.0433  0.10
Barbosa 1983   29  0.449  0.0416  0.1221  0.4131  0.3511  0.38
Biret 1990   4  0.5523  0.006  0.1810  0.5326  0.387  0.45
Blet 2003   28  0.4466  0.0042  0.0642  0.1349  0.0637  0.09
Block 1995   57  0.3117  0.0174  0.0465  0.0483  0.0273  0.03
Blumental 1952   80  0.1172  0.0082  0.0281  0.0288  0.0189  0.01
Boshniakovich 1969   53  0.3334  0.0062  0.0650  0.0681  0.0357  0.04
Brailowsky 1960   43  0.3930  0.0032  0.0637  0.2251  0.0532  0.10
Bunin 1987   67  0.2750  0.0068  0.0464  0.0477  0.0374  0.03
Bunin 1987b   66  0.2747  0.0067  0.0470  0.0479  0.0367  0.03
Chiu 1999   37  0.4215  0.0118  0.1314  0.5036  0.2015  0.32
Cohen 1997   22  0.4721  0.019  0.0913  0.506  0.524  0.51
Cortot 1951   56  0.3226  0.0072  0.0463  0.0483  0.0375  0.03
Csalog 1996   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1949   61  0.2979  0.0065  0.0373  0.0380  0.0371  0.03
Czerny 1990   46  0.3738  0.0058  0.0651  0.0668  0.0449  0.05
Duchoud 2007   15  0.5012  0.0213  0.118  0.5535  0.2214  0.35
Ezaki 2006   54  0.3373  0.0063  0.0468  0.0480  0.0362  0.03
Falvay 1989   6  0.5331  0.0012  0.149  0.5356  0.0522  0.16
Farrell 1958   31  0.4333  0.0055  0.0467  0.0475  0.0366  0.03
Ferenczy 1958   51  0.3487  0.0069  0.0469  0.0467  0.0369  0.03
Fliere 1977   19  0.4948  0.0030  0.1123  0.3959  0.0525  0.14
Fou 1978   33  0.4327  0.0028  0.1122  0.4153  0.0526  0.14
Francois 1956   30  0.4339  0.0041  0.0841  0.1645  0.0635  0.10
Friedman 1923   90  -0.0374  0.0090  0.0190  0.0183  0.0386  0.02
Friedman 1923b   89  -0.0183  0.0089  0.0288  0.0281  0.0382  0.02
Friedman 1930   83  0.0341  0.0080  0.0283  0.0288  0.0188  0.01
Garcia 2007   79  0.1375  0.0077  0.0377  0.0382  0.0279  0.02
Garcia 2007b   84  0.0288  0.0079  0.0284  0.0277  0.0285  0.02
Gierzod 1998   45  0.3884  0.0050  0.0558  0.0583  0.0272  0.03
Gornostaeva 1994   38  0.4153  0.0061  0.0653  0.0676  0.0359  0.04
Groot 1988   8  0.5324  0.0020  0.0928  0.3154  0.0431  0.11
Harasiewicz 1955   75  0.1857  0.0060  0.0656  0.0685  0.0361  0.04
Hatto 1993   69  0.2585  0.0027  0.1034  0.2663  0.0434  0.10
Hatto 1997   60  0.3042  0.0024  0.0731  0.2877  0.0338  0.09
Horowitz 1949   41  0.4043  0.0048  0.0654  0.0678  0.0353  0.04
Indjic 1988   65  0.2763  0.0023  0.0730  0.2953  0.0528  0.12
Kapell 1951   27  0.4567  0.0036  0.0639  0.1767  0.0441  0.08
Kissin 1993   21  0.477  0.048  0.106  0.5744  0.1617  0.30
Kushner 1989   32  0.4325  0.0044  0.0643  0.1280  0.0343  0.06
Luisada 1991   58  0.3129  0.0025  0.1027  0.3148  0.0624  0.14
Lushtak 2004   40  0.4014  0.0126  0.0720  0.4351  0.0523  0.15
Malcuzynski 1961   36  0.4259  0.0059  0.0557  0.0568  0.0452  0.04
Magaloff 1978   25  0.4644  0.0033  0.0626  0.3357  0.0429  0.11
Magin 1975   73  0.2056  0.0049  0.0655  0.0683  0.0351  0.04
Michalowski 1933   78  0.1440  0.0064  0.0559  0.0583  0.0354  0.04
Milkina 1970   12  0.5268  0.0017  0.1115  0.5041  0.1520  0.27
Mohovich 1999   35  0.4260  0.0053  0.0747  0.0787  0.0258  0.04
Moravec 1969   14  0.5135  0.0021  0.0824  0.3730  0.1919  0.27
Morozova 2008   70  0.2351  0.0043  0.0644  0.1276  0.0344  0.06
Neighaus 1950   39  0.4054  0.0054  0.0561  0.0564  0.0460  0.04
Niedzielski 1931   34  0.4236  0.0040  0.0640  0.1644  0.0730  0.11
Ohlsson 1999   5  0.553  0.074  0.157  0.5621  0.299  0.40
Osinska 1989   7  0.5318  0.0111  0.1011  0.5334  0.1618  0.29
Pachmann 1927   13  0.5210  0.0314  0.1018  0.4616  0.506  0.48
Paderewski 1930   49  0.3655  0.0056  0.0466  0.0481  0.0368  0.03
Perlemuter 1992   62  0.2932  0.0057  0.0560  0.0584  0.0263  0.03
Pierdomenico 2008   55  0.3386  0.0046  0.0846  0.0869  0.0346  0.05
Poblocka 1999   2  0.612  0.093  0.192  0.608  0.453  0.52
Rabcewiczowa 1932   63  0.2881  0.0073  0.0562  0.0582  0.0265  0.03
Rachmaninoff 1923   77  0.1669  0.0076  0.0279  0.0286  0.0276  0.02
Rangell 2001   17  0.4970  0.0029  0.1219  0.4442  0.1321  0.24
Richter 1976   20  0.4811  0.0219  0.0916  0.4933  0.1916  0.31
Rosen 1989   26  0.458  0.0434  0.0636  0.2477  0.0342  0.08
Rosenthal 1930   72  0.2261  0.0083  0.0376  0.0389  0.0180  0.02
Rosenthal 1931   82  0.0976  0.0087  0.0280  0.0290  0.0187  0.01
Rosenthal 1931b   81  0.1089  0.0084  0.0287  0.0289  0.0190  0.01
Rosenthal 1931c   68  0.2664  0.0075  0.0372  0.0387  0.0284  0.02
Rosenthal 1931d   74  0.1990  0.0078  0.0282  0.0289  0.0283  0.02
Rossi 2007   85  0.0152  0.0081  0.0378  0.0354  0.0364  0.03
Rubinstein 1939   44  0.385  0.055  0.1325  0.3513  0.4310  0.39
Rubinstein 1952   1  0.631  0.331  0.331  0.626  0.591  0.60
Rubinstein 1966   9  0.5322  0.0122  0.1017  0.4731  0.2912  0.37
Schilhawsky 1960   47  0.3780  0.0052  0.0748  0.0781  0.0348  0.05
Shebanova 2002   3  0.604  0.072  0.243  0.599  0.502  0.54
Smith 1975   64  0.2758  0.0066  0.0371  0.0384  0.0277  0.02
Sokolov 2002   42  0.3919  0.0145  0.0649  0.0667  0.0350  0.04
Sztompka 1959   59  0.3049  0.0071  0.0375  0.0385  0.0278  0.02
Tomsic 1995   23  0.4762  0.0039  0.0732  0.2773  0.0336  0.09
Uninsky 1932   71  0.2345  0.0070  0.0374  0.0369  0.0470  0.03
Uninsky 1971   50  0.346  0.0547  0.0652  0.0664  0.0355  0.04
Wasowski 1980   11  0.5216  0.0110  0.1012  0.539  0.445  0.48
Zak 1937   10  0.5313  0.027  0.114  0.5827  0.328  0.43
Zak 1951   18  0.4920  0.0115  0.125  0.5736  0.2113  0.35
Random 1   86  0.0082  0.0086  0.0285  0.0228  0.2145  0.06
Random 2   88  -0.0146  0.0085  0.0289  0.0244  0.0956  0.04
Random 3   87  -0.0177  0.0088  0.0286  0.0272  0.0381  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).