Lushtak 2004

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   35  0.5082  0.0046  0.0553  0.0559  0.0480  0.04
Anderszewski 2003   56  0.438  0.0311  0.0931  0.2717  0.4725  0.36
Ashkenazy 1981   7  0.6125  0.0012  0.128  0.5422  0.3616  0.44
Bacha 2000   67  0.4057  0.0074  0.0382  0.0336  0.2358  0.08
Badura 1965   58  0.4265  0.0041  0.0640  0.1414  0.4035  0.24
Barbosa 1983   11  0.5930  0.0017  0.0910  0.524  0.586  0.55
Biret 1990   37  0.5024  0.0030  0.0928  0.3312  0.5020  0.41
Blet 2003   24  0.5548  0.0029  0.0721  0.4013  0.4319  0.41
Block 1995   72  0.3867  0.0068  0.0469  0.0453  0.0481  0.04
Blumental 1952   71  0.3851  0.0044  0.0444  0.0839  0.1653  0.11
Boshniakovich 1969   17  0.576  0.0619  0.0926  0.3518  0.5018  0.42
Brailowsky 1960   52  0.4583  0.0069  0.0463  0.0441  0.1065  0.06
Bunin 1987   1  0.651  0.141  0.131  0.622  0.613  0.61
Bunin 1987b   2  0.6534  0.002  0.132  0.622  0.612  0.61
Chiu 1999   33  0.5237  0.0045  0.0558  0.0531  0.2951  0.12
Cohen 1997   62  0.4041  0.0067  0.0460  0.0411  0.4747  0.14
Cortot 1951   48  0.4649  0.0043  0.0542  0.1026  0.3141  0.18
Csalog 1996   65  0.4018  0.0163  0.0551  0.0520  0.4344  0.15
Czerny 1949   59  0.4184  0.0064  0.0459  0.0439  0.1560  0.08
Czerny 1990   53  0.4578  0.0052  0.0557  0.0558  0.0573  0.05
Duchoud 2007   26  0.5510  0.039  0.0915  0.4815  0.4713  0.47
Ezaki 2006   3  0.6312  0.037  0.106  0.5610  0.498  0.52
Falvay 1989   20  0.5646  0.0027  0.1523  0.3616  0.3428  0.35
Farrell 1958   36  0.5013  0.0248  0.0554  0.054  0.5443  0.16
Ferenczy 1958   38  0.4940  0.0049  0.0555  0.0514  0.4645  0.15
Fliere 1977   19  0.5661  0.0033  0.0827  0.3332  0.2132  0.26
Fou 1978   6  0.615  0.0815  0.1317  0.4613  0.4714  0.46
Francois 1956   49  0.4639  0.0032  0.0735  0.1830  0.2538  0.21
Friedman 1923   85  0.2460  0.0081  0.0379  0.0341  0.1271  0.06
Friedman 1923b   84  0.2445  0.0080  0.0287  0.0243  0.1083  0.04
Friedman 1930   70  0.3929  0.0053  0.0461  0.0422  0.4050  0.13
Garcia 2007   80  0.2985  0.0078  0.0380  0.0337  0.1763  0.07
Garcia 2007b   86  0.2373  0.0087  0.0372  0.0345  0.0686  0.04
Gierzod 1998   25  0.5521  0.0128  0.1124  0.3612  0.4023  0.38
Gornostaeva 1994   51  0.4554  0.0061  0.0467  0.0456  0.0484  0.04
Groot 1988   44  0.4858  0.0056  0.0548  0.0571  0.0385  0.04
Harasiewicz 1955   23  0.5532  0.0022  0.0819  0.4322  0.3124  0.37
Hatto 1993   68  0.3986  0.0062  0.0468  0.0437  0.1761  0.08
Hatto 1997   45  0.4831  0.0020  0.0929  0.3017  0.4326  0.36
Horowitz 1949   57  0.4233  0.0066  0.0549  0.0543  0.0866  0.06
Indjic 1988   61  0.4179  0.0054  0.0464  0.0432  0.2257  0.09
Kapell 1951   18  0.5659  0.0021  0.0916  0.4815  0.4612  0.47
Kissin 1993   21  0.5635  0.0034  0.0830  0.3029  0.3131  0.30
Kushner 1989   40  0.4947  0.0042  0.0443  0.1039  0.1648  0.13
Luisada 1991   50  0.4676  0.0060  0.0465  0.0456  0.0575  0.04
Lushtak 2004   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Malcuzynski 1961   13  0.5915  0.0224  0.0912  0.5029  0.2922  0.38
Magaloff 1978   29  0.532  0.123  0.1218  0.4423  0.2729  0.34
Magin 1975   74  0.3887  0.0073  0.0373  0.0348  0.0678  0.04
Michalowski 1933   79  0.3066  0.0071  0.0377  0.0352  0.0579  0.04
Milkina 1970   73  0.3888  0.0075  0.0385  0.0383  0.0389  0.03
Mohovich 1999   15  0.5823  0.0026  0.1122  0.3818  0.4321  0.40
Moravec 1969   75  0.3542  0.0079  0.0378  0.0368  0.0487  0.03
Morozova 2008   22  0.5519  0.0135  0.0832  0.2333  0.1439  0.18
Neighaus 1950   4  0.6216  0.0213  0.105  0.5819  0.4510  0.51
Niedzielski 1931   83  0.2574  0.0082  0.0384  0.0369  0.0388  0.03
Ohlsson 1999   10  0.5962  0.0018  0.109  0.5310  0.4611  0.49
Osinska 1989   46  0.4736  0.0051  0.0647  0.0635  0.1555  0.09
Pachmann 1927   41  0.4914  0.0216  0.1033  0.2317  0.4730  0.33
Paderewski 1930   42  0.4943  0.0038  0.0641  0.1411  0.4533  0.25
Perlemuter 1992   32  0.5268  0.0037  0.0736  0.1726  0.3236  0.23
Pierdomenico 2008   60  0.4152  0.0070  0.0370  0.0348  0.0676  0.04
Poblocka 1999   12  0.594  0.095  0.147  0.555  0.537  0.54
Rabcewiczowa 1932   64  0.4080  0.0065  0.0646  0.0627  0.3246  0.14
Rachmaninoff 1923   66  0.4077  0.0059  0.0552  0.0542  0.1162  0.07
Rangell 2001   54  0.4426  0.0057  0.0462  0.0428  0.2654  0.10
Richter 1976   31  0.5263  0.0039  0.0539  0.1515  0.3734  0.24
Rosen 1989   43  0.4856  0.0058  0.0550  0.0575  0.0382  0.04
Rosenthal 1930   76  0.3389  0.0077  0.0375  0.0342  0.1168  0.06
Rosenthal 1931   77  0.3171  0.0083  0.0381  0.0340  0.1267  0.06
Rosenthal 1931b   78  0.3081  0.0084  0.0371  0.0340  0.1564  0.07
Rosenthal 1931c   69  0.3944  0.0072  0.0374  0.0341  0.1370  0.06
Rosenthal 1931d   81  0.2869  0.0085  0.0376  0.0341  0.0974  0.05
Rossi 2007   82  0.2638  0.0076  0.0383  0.0323  0.2756  0.09
Rubinstein 1939   87  0.2253  0.0086  0.0386  0.0349  0.0577  0.04
Rubinstein 1952   55  0.4411  0.0325  0.0838  0.1632  0.1942  0.17
Rubinstein 1966   39  0.4927  0.0055  0.0556  0.0525  0.3349  0.13
Schilhawsky 1960   14  0.583  0.094  0.1014  0.485  0.579  0.52
Shebanova 2002   27  0.5522  0.0036  0.0734  0.1941  0.1840  0.18
Smith 1975   8  0.6020  0.016  0.103  0.617  0.514  0.56
Sokolov 2002   28  0.5490  0.0031  0.0625  0.3526  0.3527  0.35
Sztompka 1959   34  0.5072  0.0050  0.0645  0.0637  0.2152  0.11
Tomsic 1995   5  0.617  0.0414  0.1013  0.4912  0.4015  0.44
Uninsky 1932   47  0.4650  0.0040  0.0637  0.1725  0.2537  0.21
Uninsky 1971   30  0.539  0.038  0.1320  0.4322  0.4217  0.42
Wasowski 1980   63  0.4075  0.0047  0.0466  0.0439  0.1759  0.08
Zak 1937   16  0.5828  0.0023  0.0911  0.525  0.585  0.55
Zak 1951   9  0.6017  0.0210  0.094  0.603  0.651  0.62
Random 1   90  -0.0470  0.0090  0.0190  0.0170  0.0390  0.02
Random 2   89  -0.0464  0.0089  0.0289  0.0242  0.1172  0.05
Random 3   88  0.0455  0.0088  0.0288  0.0233  0.2169  0.06

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).