Blet 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.5759  0.0011  0.0913  0.4155  0.0516  0.14
Anderszewski 2003   30  0.5176  0.0051  0.0554  0.0548  0.0556  0.05
Ashkenazy 1981   62  0.4347  0.0062  0.0559  0.0586  0.0366  0.04
Bacha 2000   52  0.4643  0.0022  0.0728  0.2743  0.1012  0.16
Badura 1965   38  0.5019  0.0149  0.0556  0.0544  0.0945  0.07
Barbosa 1983   42  0.4922  0.0140  0.0640  0.1467  0.0444  0.07
Biret 1990   16  0.535  0.074  0.197  0.4844  0.097  0.21
Blet 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Block 1995   59  0.4411  0.0212  0.0933  0.1956  0.0534  0.10
Blumental 1952   44  0.4945  0.0020  0.0820  0.3361  0.0431  0.11
Boshniakovich 1969   4  0.589  0.027  0.114  0.5247  0.089  0.20
Brailowsky 1960   49  0.4758  0.0060  0.0463  0.0453  0.0652  0.05
Bunin 1987   83  0.3577  0.0086  0.0465  0.0448  0.0567  0.04
Bunin 1987b   82  0.3552  0.0085  0.0372  0.0366  0.0477  0.03
Chiu 1999   70  0.4170  0.0068  0.0369  0.0371  0.0473  0.03
Cohen 1997   76  0.403  0.075  0.1024  0.305  0.493  0.38
Cortot 1951   75  0.4071  0.0064  0.0464  0.0462  0.0569  0.04
Csalog 1996   36  0.502  0.086  0.138  0.4520  0.382  0.41
Czerny 1949   48  0.4766  0.0061  0.0651  0.0681  0.0364  0.04
Czerny 1990   22  0.5278  0.0039  0.0638  0.1578  0.0441  0.08
Duchoud 2007   86  0.3368  0.0071  0.0376  0.0363  0.0565  0.04
Ezaki 2006   13  0.5415  0.0144  0.0544  0.0964  0.0447  0.06
Falvay 1989   58  0.4485  0.0077  0.0285  0.0263  0.0575  0.03
Farrell 1958   81  0.3789  0.0072  0.0379  0.0379  0.0476  0.03
Ferenczy 1958   35  0.5137  0.0018  0.0932  0.2034  0.276  0.23
Fliere 1977   1  0.641  0.351  0.341  0.6752  0.068  0.20
Fou 1978   3  0.587  0.023  0.183  0.5644  0.115  0.25
Francois 1956   45  0.4874  0.0057  0.0648  0.0666  0.0459  0.05
Friedman 1923   63  0.4334  0.0070  0.0378  0.0372  0.0488  0.03
Friedman 1923b   61  0.4348  0.0065  0.0368  0.0370  0.0484  0.03
Friedman 1930   74  0.4157  0.0082  0.0371  0.0374  0.0481  0.03
Garcia 2007   46  0.4879  0.0054  0.0845  0.0864  0.0451  0.06
Garcia 2007b   56  0.4572  0.0053  0.0649  0.0661  0.0460  0.05
Gierzod 1998   5  0.5765  0.0015  0.0912  0.4259  0.0421  0.13
Gornostaeva 1994   32  0.5140  0.0048  0.0555  0.0568  0.0368  0.04
Groot 1988   43  0.4924  0.0127  0.0619  0.3447  0.0617  0.14
Harasiewicz 1955   9  0.5520  0.0137  0.0637  0.1780  0.0346  0.07
Hatto 1993   37  0.5028  0.0013  0.0810  0.4463  0.0423  0.13
Hatto 1997   29  0.5173  0.0014  0.1411  0.4365  0.0420  0.13
Horowitz 1949   67  0.4226  0.0169  0.0380  0.0364  0.0563  0.04
Indjic 1988   26  0.5116  0.018  0.109  0.4454  0.0514  0.15
Kapell 1951   28  0.5118  0.0126  0.0627  0.2874  0.0429  0.11
Kissin 1993   11  0.5555  0.0033  0.0630  0.2266  0.0437  0.09
Kushner 1989   10  0.5549  0.0032  0.0626  0.2965  0.0428  0.11
Luisada 1991   2  0.634  0.072  0.292  0.6418  0.371  0.49
Lushtak 2004   18  0.5356  0.0023  0.0718  0.3553  0.0522  0.13
Malcuzynski 1961   79  0.3825  0.0183  0.0366  0.0368  0.0478  0.03
Magaloff 1978   66  0.4286  0.0076  0.0286  0.0287  0.0289  0.02
Magin 1975   24  0.5230  0.0047  0.0747  0.0774  0.0353  0.05
Michalowski 1933   50  0.4714  0.0156  0.0652  0.0638  0.2130  0.11
Milkina 1970   7  0.5623  0.0110  0.086  0.4960  0.0513  0.16
Mohovich 1999   14  0.5310  0.029  0.095  0.4949  0.0810  0.20
Moravec 1969   68  0.4290  0.0079  0.0284  0.0269  0.0471  0.03
Morozova 2008   40  0.5042  0.0046  0.0650  0.0665  0.0457  0.05
Neighaus 1950   25  0.5146  0.0017  0.0814  0.4054  0.0518  0.14
Niedzielski 1931   33  0.5121  0.0128  0.0536  0.1757  0.0535  0.09
Ohlsson 1999   53  0.4627  0.0041  0.0642  0.1162  0.0543  0.07
Osinska 1989   15  0.5361  0.0030  0.0521  0.3267  0.0427  0.11
Pachmann 1927   87  0.3187  0.0087  0.0367  0.0379  0.0380  0.03
Paderewski 1930   73  0.4181  0.0067  0.0373  0.0364  0.0479  0.03
Perlemuter 1992   17  0.5317  0.0119  0.0816  0.3933  0.214  0.29
Pierdomenico 2008   84  0.3550  0.0084  0.0375  0.0363  0.0561  0.04
Poblocka 1999   19  0.5263  0.0029  0.0522  0.3162  0.0525  0.12
Rabcewiczowa 1932   60  0.4467  0.0034  0.0634  0.1959  0.0532  0.10
Rachmaninoff 1923   65  0.4280  0.0081  0.0370  0.0378  0.0474  0.03
Rangell 2001   85  0.3329  0.0073  0.0381  0.0371  0.0485  0.03
Richter 1976   51  0.476  0.0345  0.0557  0.0555  0.0554  0.05
Rosen 1989   12  0.5464  0.0024  0.0717  0.3651  0.0615  0.15
Rosenthal 1930   69  0.4238  0.0074  0.0287  0.0258  0.0482  0.03
Rosenthal 1931   80  0.3831  0.0080  0.0377  0.0345  0.0855  0.05
Rosenthal 1931b   77  0.3953  0.0078  0.0283  0.0261  0.0586  0.03
Rosenthal 1931c   72  0.4160  0.0075  0.0282  0.0250  0.0687  0.03
Rosenthal 1931d   78  0.3833  0.0063  0.0462  0.0439  0.1938  0.09
Rossi 2007   71  0.4154  0.0066  0.0374  0.0365  0.0472  0.03
Rubinstein 1939   54  0.4544  0.0055  0.0653  0.0681  0.0362  0.04
Rubinstein 1952   55  0.4575  0.0050  0.0560  0.0573  0.0470  0.04
Rubinstein 1966   39  0.5082  0.0038  0.0635  0.1846  0.0826  0.12
Schilhawsky 1960   27  0.5112  0.0243  0.0543  0.1063  0.0449  0.06
Shebanova 2002   47  0.4851  0.0052  0.0558  0.0546  0.0750  0.06
Smith 1975   23  0.5232  0.0042  0.0541  0.1172  0.0442  0.07
Sokolov 2002   64  0.4335  0.0025  0.0539  0.1565  0.0439  0.08
Sztompka 1959   31  0.518  0.0221  0.0725  0.3055  0.0619  0.13
Tomsic 1995   57  0.4562  0.0059  0.0561  0.0552  0.0748  0.06
Uninsky 1932   41  0.5083  0.0058  0.0746  0.0780  0.0358  0.05
Uninsky 1971   8  0.5513  0.0116  0.0915  0.3950  0.0711  0.17
Wasowski 1980   20  0.5236  0.0031  0.0623  0.3060  0.0524  0.12
Zak 1937   21  0.5241  0.0035  0.0729  0.2278  0.0436  0.09
Zak 1951   34  0.5139  0.0036  0.0831  0.2069  0.0533  0.10
Random 1   88  -0.0584  0.0088  0.0288  0.0221  0.2940  0.08
Random 2   90  -0.1388  0.0090  0.0190  0.0182  0.0290  0.01
Random 3   89  -0.0869  0.0089  0.0289  0.0266  0.0483  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).