Blet 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   2  0.784  0.053  0.263  0.5722  0.403  0.48
Anderszewski 2003   48  0.5836  0.0041  0.0543  0.1062  0.0367  0.05
Ashkenazy 1981   58  0.5555  0.0051  0.0553  0.0570  0.0375  0.04
Bacha 2000   71  0.5176  0.0074  0.0380  0.0372  0.0480  0.03
Badura 1965   40  0.6163  0.0026  0.0633  0.2016  0.3922  0.28
Barbosa 1983   25  0.6515  0.0113  0.1312  0.419  0.534  0.47
Biret 1990   24  0.6522  0.0123  0.0719  0.3338  0.1926  0.25
Blet 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Block 1995   73  0.4918  0.0133  0.0538  0.1352  0.0459  0.07
Blumental 1952   70  0.5244  0.0052  0.0558  0.0538  0.1449  0.08
Boshniakovich 1969   37  0.6282  0.0054  0.0465  0.0443  0.1160  0.07
Brailowsky 1960   66  0.5321  0.0183  0.0383  0.0368  0.0482  0.03
Bunin 1987   57  0.5556  0.0060  0.0552  0.0540  0.1845  0.09
Bunin 1987b   59  0.5577  0.0059  0.0551  0.0539  0.1940  0.10
Chiu 1999   53  0.5664  0.0053  0.0467  0.0446  0.0764  0.05
Cohen 1997   88  0.3341  0.0077  0.0288  0.0237  0.1269  0.05
Cortot 1951   33  0.6386  0.0048  0.0648  0.0640  0.1642  0.10
Csalog 1996   68  0.5216  0.0161  0.0462  0.0430  0.2441  0.10
Czerny 1949   26  0.6581  0.0035  0.0535  0.1969  0.0444  0.09
Czerny 1990   4  0.7443  0.004  0.175  0.5218  0.416  0.46
Duchoud 2007   46  0.5890  0.0046  0.0554  0.0528  0.3235  0.13
Ezaki 2006   11  0.708  0.0315  0.0914  0.3934  0.2219  0.29
Falvay 1989   60  0.5533  0.0081  0.0376  0.0348  0.0765  0.05
Farrell 1958   52  0.5687  0.0064  0.0372  0.0348  0.0672  0.04
Ferenczy 1958   15  0.686  0.0410  0.1023  0.3112  0.3716  0.34
Fliere 1977   3  0.772  0.122  0.242  0.5919  0.402  0.49
Fou 1978   28  0.6440  0.0025  0.0717  0.3536  0.1628  0.24
Francois 1956   32  0.6462  0.0036  0.0534  0.2032  0.2730  0.23
Friedman 1923   80  0.4383  0.0070  0.0460  0.0430  0.2839  0.11
Friedman 1923b   81  0.4366  0.0069  0.0375  0.0330  0.2946  0.09
Friedman 1930   78  0.4547  0.0065  0.0374  0.0344  0.1362  0.06
Garcia 2007   61  0.5546  0.0057  0.0555  0.0533  0.2638  0.11
Garcia 2007b   84  0.4075  0.0067  0.0373  0.0352  0.0579  0.04
Gierzod 1998   31  0.6453  0.0042  0.0439  0.1360  0.0458  0.07
Gornostaeva 1994   43  0.6020  0.0138  0.0540  0.1246  0.0650  0.08
Groot 1988   45  0.6060  0.0056  0.0459  0.0450  0.0577  0.04
Harasiewicz 1955   50  0.5734  0.0039  0.0436  0.1761  0.0452  0.08
Hatto 1993   56  0.5537  0.0029  0.0830  0.2321  0.2727  0.25
Hatto 1997   41  0.6172  0.0021  0.0725  0.2921  0.2821  0.28
Horowitz 1949   77  0.4758  0.0082  0.0377  0.0366  0.0487  0.03
Indjic 1988   47  0.5884  0.0028  0.0629  0.2521  0.3024  0.27
Kapell 1951   12  0.6914  0.019  0.118  0.4625  0.3013  0.37
Kissin 1993   21  0.6642  0.0027  0.0628  0.2645  0.1033  0.16
Kushner 1989   13  0.6951  0.0030  0.0726  0.2936  0.1829  0.23
Luisada 1991   16  0.6817  0.0118  0.0715  0.3733  0.2617  0.31
Lushtak 2004   10  0.707  0.035  0.146  0.4819  0.339  0.40
Malcuzynski 1961   62  0.5428  0.0071  0.0381  0.0383  0.0386  0.03
Magaloff 1978   69  0.5232  0.0073  0.0370  0.0355  0.0570  0.04
Magin 1975   64  0.5426  0.0066  0.0466  0.0474  0.0385  0.03
Michalowski 1933   76  0.4749  0.0043  0.0445  0.0937  0.2732  0.16
Milkina 1970   39  0.6138  0.0040  0.0541  0.1185  0.0456  0.07
Mohovich 1999   9  0.7110  0.0214  0.137  0.4731  0.3112  0.38
Moravec 1969   65  0.5329  0.0079  0.0379  0.0375  0.0381  0.03
Morozova 2008   18  0.6739  0.0019  0.0824  0.3127  0.2425  0.27
Neighaus 1950   30  0.6468  0.0016  0.0822  0.3255  0.0536  0.13
Niedzielski 1931   63  0.5445  0.0068  0.0371  0.0377  0.0384  0.03
Ohlsson 1999   44  0.6030  0.0044  0.0442  0.1059  0.0461  0.06
Osinska 1989   22  0.6680  0.0034  0.0531  0.2350  0.0537  0.11
Pachmann 1927   55  0.5661  0.0072  0.0378  0.0333  0.1757  0.07
Paderewski 1930   35  0.6312  0.0222  0.0621  0.334  0.4610  0.39
Perlemuter 1992   5  0.733  0.066  0.184  0.548  0.511  0.52
Pierdomenico 2008   82  0.4278  0.0084  0.0385  0.0381  0.0383  0.03
Poblocka 1999   7  0.7252  0.0011  0.1111  0.4319  0.3311  0.38
Rabcewiczowa 1932   38  0.6267  0.0031  0.0632  0.2321  0.3520  0.28
Rachmaninoff 1923   54  0.5650  0.0058  0.0557  0.0575  0.0371  0.04
Rangell 2001   79  0.4348  0.0075  0.0387  0.0333  0.2251  0.08
Richter 1976   51  0.5713  0.0162  0.0556  0.0552  0.0666  0.05
Rosen 1989   23  0.6511  0.0220  0.0716  0.3626  0.2618  0.31
Rosenthal 1930   72  0.5073  0.0078  0.0386  0.0365  0.0489  0.03
Rosenthal 1931   83  0.4057  0.0086  0.0468  0.0448  0.0573  0.04
Rosenthal 1931b   87  0.3885  0.0087  0.0382  0.0348  0.0578  0.04
Rosenthal 1931c   75  0.4871  0.0076  0.0384  0.0354  0.0490  0.03
Rosenthal 1931d   85  0.3970  0.0088  0.0464  0.0454  0.0576  0.04
Rossi 2007   86  0.3865  0.0085  0.0461  0.0438  0.1747  0.08
Rubinstein 1939   74  0.4889  0.0080  0.0369  0.0334  0.2448  0.08
Rubinstein 1952   67  0.5354  0.0063  0.0463  0.0441  0.1653  0.08
Rubinstein 1966   19  0.6631  0.0032  0.0827  0.2717  0.4514  0.35
Schilhawsky 1960   17  0.6725  0.0117  0.0920  0.3329  0.3615  0.34
Shebanova 2002   27  0.6574  0.0047  0.0550  0.0557  0.0568  0.05
Smith 1975   20  0.6623  0.0124  0.0618  0.3532  0.2123  0.27
Sokolov 2002   49  0.5727  0.0049  0.0646  0.0644  0.0854  0.07
Sztompka 1959   8  0.7124  0.017  0.119  0.4618  0.418  0.43
Tomsic 1995   36  0.6235  0.0055  0.0647  0.0627  0.3134  0.14
Uninsky 1932   14  0.695  0.0512  0.1213  0.3914  0.507  0.44
Uninsky 1971   6  0.729  0.028  0.1510  0.4511  0.485  0.46
Wasowski 1980   42  0.6019  0.0150  0.0649  0.0671  0.0463  0.05
Zak 1937   29  0.6459  0.0045  0.0544  0.0955  0.0655  0.07
Zak 1951   34  0.6369  0.0037  0.0637  0.1556  0.0643  0.09
Average   1  0.801  0.351  0.351  0.7051  0.0631  0.20
Random 1   90  -0.1079  0.0091  0.0191  0.0141  0.1574  0.04
Random 2   91  -0.1588  0.0089  0.0289  0.0259  0.0488  0.03
Random 3   89  -0.0991  0.0090  0.0190  0.0170  0.0391  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).