Csalog 1996

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.5038  0.0039  0.0639  0.2161  0.0440  0.09
Anderszewski 2003   77  0.1728  0.0052  0.0746  0.0776  0.0348  0.05
Ashkenazy 1981   49  0.3779  0.0032  0.0930  0.2976  0.0341  0.09
Bacha 2000   25  0.4766  0.0038  0.0636  0.2548  0.0627  0.12
Badura 1965   53  0.3472  0.0036  0.0634  0.2660  0.0434  0.10
Barbosa 1983   30  0.449  0.0416  0.1222  0.4132  0.3511  0.38
Biret 1990   4  0.5523  0.006  0.1810  0.5327  0.387  0.45
Blet 2003   29  0.4467  0.0043  0.0643  0.1350  0.0638  0.09
Block 1995   58  0.3118  0.0175  0.0466  0.0484  0.0273  0.03
Blumental 1952   81  0.1173  0.0083  0.0282  0.0289  0.0189  0.01
Boshniakovich 1969   54  0.3334  0.0063  0.0651  0.0682  0.0358  0.04
Brailowsky 1960   44  0.3935  0.0033  0.0638  0.2252  0.0533  0.10
Bunin 1987   68  0.2750  0.0069  0.0465  0.0478  0.0374  0.03
Bunin 1987b   67  0.2748  0.0068  0.0471  0.0480  0.0367  0.03
Chiu 1999   38  0.4215  0.0118  0.1314  0.5037  0.2015  0.32
Cohen 1997   23  0.4721  0.019  0.0913  0.506  0.524  0.51
Cortot 1951   57  0.3226  0.0073  0.0464  0.0484  0.0375  0.03
Csalog 1996   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1949   62  0.2980  0.0066  0.0374  0.0381  0.0371  0.03
Czerny 1990   47  0.3739  0.0059  0.0652  0.0669  0.0449  0.05
Duchoud 2007   16  0.5012  0.0213  0.118  0.5536  0.2214  0.35
Ezaki 2006   55  0.3374  0.0064  0.0469  0.0481  0.0362  0.03
Falvay 1989   7  0.5330  0.0012  0.149  0.5357  0.0522  0.16
Farrell 1958   32  0.4333  0.0056  0.0468  0.0476  0.0366  0.03
Ferenczy 1958   52  0.3488  0.0070  0.0470  0.0468  0.0369  0.03
Fliere 1977   20  0.4949  0.0031  0.1124  0.3960  0.0525  0.14
Fou 1978   34  0.4327  0.0029  0.1123  0.4154  0.0526  0.14
Francois 1956   31  0.4340  0.0042  0.0842  0.1646  0.0636  0.10
Friedman 1923   91  -0.0375  0.0091  0.0191  0.0184  0.0386  0.02
Friedman 1923b   90  -0.0184  0.0090  0.0289  0.0282  0.0383  0.02
Friedman 1930   84  0.0342  0.0081  0.0284  0.0289  0.0188  0.01
Garcia 2007   80  0.1376  0.0078  0.0378  0.0383  0.0280  0.02
Garcia 2007b   85  0.0289  0.0080  0.0285  0.0278  0.0285  0.02
Gierzod 1998   46  0.3885  0.0051  0.0559  0.0584  0.0272  0.03
Gornostaeva 1994   39  0.4154  0.0062  0.0654  0.0677  0.0360  0.04
Groot 1988   9  0.5324  0.0020  0.0829  0.3155  0.0432  0.11
Harasiewicz 1955   76  0.1858  0.0061  0.0557  0.0586  0.0276  0.03
Hatto 1993   70  0.2586  0.0028  0.1035  0.2664  0.0435  0.10
Hatto 1997   61  0.3043  0.0025  0.0732  0.2878  0.0339  0.09
Horowitz 1949   42  0.4044  0.0049  0.0655  0.0679  0.0353  0.04
Indjic 1988   66  0.2764  0.0024  0.0731  0.2954  0.0528  0.12
Kapell 1951   28  0.4568  0.0037  0.0640  0.1768  0.0442  0.08
Kissin 1993   22  0.477  0.048  0.106  0.5745  0.1617  0.30
Kushner 1989   33  0.4325  0.0045  0.0644  0.1281  0.0345  0.06
Luisada 1991   59  0.3129  0.0026  0.1028  0.3149  0.0624  0.14
Lushtak 2004   41  0.4014  0.0127  0.0721  0.4352  0.0523  0.15
Malcuzynski 1961   37  0.4260  0.0060  0.0558  0.0569  0.0452  0.04
Magaloff 1978   26  0.4645  0.0034  0.0627  0.3358  0.0430  0.11
Magin 1975   74  0.2057  0.0050  0.0656  0.0684  0.0351  0.04
Michalowski 1933   79  0.1441  0.0065  0.0560  0.0584  0.0354  0.04
Milkina 1970   13  0.5269  0.0017  0.1115  0.5042  0.1520  0.27
Mohovich 1999   36  0.4261  0.0054  0.0748  0.0788  0.0259  0.04
Moravec 1969   15  0.5136  0.0021  0.0725  0.3731  0.1919  0.27
Morozova 2008   71  0.2351  0.0044  0.0645  0.1277  0.0346  0.06
Neighaus 1950   40  0.4056  0.0055  0.0562  0.0565  0.0461  0.04
Niedzielski 1931   35  0.4237  0.0041  0.0641  0.1645  0.0731  0.11
Ohlsson 1999   6  0.553  0.074  0.157  0.5622  0.299  0.40
Osinska 1989   8  0.5317  0.0111  0.1011  0.5335  0.1618  0.29
Pachmann 1927   14  0.5210  0.0314  0.1018  0.4617  0.506  0.48
Paderewski 1930   50  0.3655  0.0057  0.0467  0.0482  0.0368  0.03
Perlemuter 1992   63  0.2931  0.0058  0.0561  0.0585  0.0263  0.03
Pierdomenico 2008   56  0.3387  0.0047  0.0747  0.0770  0.0347  0.05
Poblocka 1999   2  0.612  0.093  0.192  0.609  0.453  0.52
Rabcewiczowa 1932   64  0.2882  0.0074  0.0563  0.0583  0.0265  0.03
Rachmaninoff 1923   78  0.1670  0.0077  0.0280  0.0287  0.0277  0.02
Rangell 2001   18  0.4971  0.0030  0.1220  0.4443  0.1321  0.24
Richter 1976   21  0.4811  0.0219  0.0816  0.4934  0.1916  0.31
Rosen 1989   27  0.458  0.0435  0.0637  0.2478  0.0343  0.08
Rosenthal 1930   73  0.2262  0.0084  0.0377  0.0390  0.0181  0.02
Rosenthal 1931   83  0.0977  0.0088  0.0281  0.0291  0.0187  0.01
Rosenthal 1931b   82  0.1090  0.0085  0.0288  0.0290  0.0191  0.01
Rosenthal 1931c   69  0.2665  0.0076  0.0373  0.0388  0.0284  0.02
Rosenthal 1931d   75  0.1991  0.0079  0.0283  0.0290  0.0190  0.01
Rossi 2007   86  0.0153  0.0082  0.0379  0.0355  0.0364  0.03
Rubinstein 1939   45  0.385  0.055  0.1326  0.3513  0.4310  0.39
Rubinstein 1952   1  0.631  0.331  0.331  0.626  0.591  0.60
Rubinstein 1966   10  0.5322  0.0122  0.0817  0.4732  0.2912  0.37
Schilhawsky 1960   48  0.3781  0.0053  0.0649  0.0682  0.0356  0.04
Shebanova 2002   3  0.604  0.072  0.243  0.5910  0.502  0.54
Smith 1975   65  0.2759  0.0067  0.0372  0.0385  0.0278  0.02
Sokolov 2002   43  0.3919  0.0146  0.0650  0.0668  0.0350  0.04
Sztompka 1959   60  0.3052  0.0072  0.0376  0.0386  0.0279  0.02
Tomsic 1995   24  0.4763  0.0040  0.0733  0.2774  0.0337  0.09
Uninsky 1932   72  0.2346  0.0071  0.0375  0.0370  0.0470  0.03
Uninsky 1971   51  0.346  0.0548  0.0653  0.0665  0.0355  0.04
Wasowski 1980   12  0.5216  0.0110  0.1012  0.5310  0.445  0.48
Zak 1937   11  0.5313  0.027  0.114  0.5828  0.328  0.43
Zak 1951   19  0.4920  0.0115  0.125  0.5737  0.2113  0.35
Average   5  0.5532  0.0023  0.0919  0.4586  0.0329  0.12
Random 1   87  0.0083  0.0087  0.0286  0.0228  0.2244  0.07
Random 2   89  -0.0147  0.0086  0.0290  0.0245  0.0957  0.04
Random 3   88  -0.0178  0.0089  0.0287  0.0273  0.0382  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).