Bunin 1987

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   38  0.4219  0.0040  0.0635  0.2389  0.0245  0.07
Anderszewski 2003   23  0.4620  0.0027  0.1325  0.3965  0.0430  0.12
Ashkenazy 1981   16  0.4821  0.0017  0.079  0.5046  0.0711  0.19
Bacha 2000   63  0.3545  0.0064  0.0467  0.0478  0.0368  0.03
Badura 1965   18  0.478  0.006  0.1413  0.4829  0.366  0.42
Barbosa 1983   55  0.3722  0.0057  0.0466  0.0452  0.0650  0.05
Biret 1990   72  0.3423  0.0069  0.0547  0.0576  0.0466  0.04
Blet 2003   67  0.3524  0.0068  0.0549  0.0566  0.0461  0.04
Block 1995   56  0.376  0.0052  0.0559  0.0565  0.0463  0.04
Blumental 1952   69  0.3446  0.0063  0.0461  0.0486  0.0381  0.03
Boshniakovich 1969   8  0.5347  0.008  0.186  0.5442  0.129  0.25
Brailowsky 1960   76  0.3125  0.0081  0.0381  0.0381  0.0470  0.03
Bunin 1987   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bunin 1987b   1  0.991  1.001  0.991  1.001  1.001  1.00
Chiu 1999   60  0.3526  0.0047  0.0558  0.0560  0.0548  0.05
Cohen 1997   87  0.2127  0.0076  0.0473  0.0486  0.0383  0.03
Cortot 1951   62  0.3548  0.0054  0.0555  0.0579  0.0367  0.04
Csalog 1996   59  0.3549  0.0058  0.0377  0.0369  0.0478  0.03
Czerny 1949   2  0.5828  0.004  0.174  0.5636  0.345  0.44
Czerny 1990   51  0.389  0.0061  0.0469  0.0486  0.0384  0.03
Duchoud 2007   52  0.377  0.0045  0.0645  0.1250  0.0644  0.08
Ezaki 2006   37  0.4350  0.0041  0.0637  0.2175  0.0439  0.09
Falvay 1989   74  0.3329  0.0079  0.0388  0.0387  0.0372  0.03
Farrell 1958   82  0.2851  0.0078  0.0387  0.0387  0.0375  0.03
Ferenczy 1958   30  0.4452  0.0039  0.0642  0.1952  0.0536  0.10
Fliere 1977   13  0.5053  0.0016  0.0714  0.4850  0.0612  0.17
Fou 1978   70  0.3430  0.0072  0.0463  0.0488  0.0376  0.03
Francois 1956   54  0.3754  0.0066  0.0468  0.0481  0.0388  0.03
Friedman 1923   58  0.3655  0.0042  0.0541  0.2053  0.0635  0.11
Friedman 1923b   64  0.3531  0.0043  0.0843  0.1964  0.0538  0.10
Friedman 1930   49  0.383  0.0033  0.0834  0.2846  0.0916  0.16
Garcia 2007   48  0.3810  0.0060  0.0376  0.0375  0.0480  0.03
Garcia 2007b   40  0.4213  0.0044  0.0644  0.1358  0.0446  0.07
Gierzod 1998   17  0.4856  0.0031  0.1429  0.3573  0.0432  0.12
Gornostaeva 1994   36  0.4357  0.0032  0.0833  0.3066  0.0342  0.09
Groot 1988   33  0.4414  0.0012  0.0830  0.3250  0.0623  0.14
Harasiewicz 1955   19  0.4658  0.0024  0.0916  0.4647  0.0614  0.17
Hatto 1993   32  0.4459  0.0029  0.1022  0.4081  0.0334  0.11
Hatto 1997   31  0.4460  0.0030  0.1127  0.3953  0.0618  0.15
Horowitz 1949   5  0.562  0.009  0.185  0.5412  0.513  0.52
Indjic 1988   29  0.4461  0.0028  0.1021  0.4071  0.0428  0.13
Kapell 1951   9  0.5132  0.0022  0.0724  0.4055  0.0520  0.14
Kissin 1993   43  0.4162  0.0049  0.0556  0.0587  0.0277  0.03
Kushner 1989   26  0.4563  0.0036  0.0639  0.2074  0.0343  0.08
Luisada 1991   42  0.4164  0.0050  0.0548  0.0586  0.0352  0.04
Lushtak 2004   24  0.4533  0.0026  0.1032  0.3252  0.0622  0.14
Malcuzynski 1961   21  0.4665  0.0011  0.0717  0.4571  0.0427  0.13
Magaloff 1978   71  0.3466  0.0073  0.0553  0.0580  0.0354  0.04
Magin 1975   20  0.4634  0.0013  0.0719  0.4372  0.0426  0.13
Michalowski 1933   46  0.3967  0.0020  0.0628  0.3732  0.267  0.31
Milkina 1970   45  0.3915  0.0059  0.0378  0.0388  0.0289  0.02
Mohovich 1999   47  0.3968  0.0055  0.0462  0.0488  0.0382  0.03
Moravec 1969   81  0.2916  0.0071  0.0460  0.0487  0.0269  0.03
Morozova 2008   34  0.4369  0.0035  0.0636  0.2362  0.0533  0.11
Neighaus 1950   15  0.4870  0.0023  0.0918  0.4461  0.0519  0.15
Niedzielski 1931   61  0.3571  0.0048  0.0552  0.0561  0.0456  0.04
Ohlsson 1999   25  0.4535  0.0014  0.0810  0.4962  0.0515  0.16
Osinska 1989   39  0.4272  0.0051  0.0646  0.0685  0.0353  0.04
Pachmann 1927   50  0.3836  0.0065  0.0374  0.0346  0.0849  0.05
Paderewski 1930   66  0.3537  0.0067  0.0554  0.0560  0.0459  0.04
Perlemuter 1992   28  0.4538  0.0038  0.0640  0.2068  0.0441  0.09
Pierdomenico 2008   83  0.2739  0.0084  0.0386  0.0378  0.0473  0.03
Poblocka 1999   14  0.4873  0.0019  0.0620  0.4166  0.0424  0.13
Rabcewiczowa 1932   53  0.3774  0.0056  0.0465  0.0473  0.0457  0.04
Rachmaninoff 1923   41  0.4240  0.0034  0.0931  0.3258  0.0525  0.13
Rangell 2001   65  0.3575  0.0053  0.0557  0.0580  0.0365  0.04
Richter 1976   6  0.5576  0.003  0.177  0.5317  0.532  0.53
Rosen 1989   73  0.3377  0.0070  0.0551  0.0579  0.0464  0.04
Rosenthal 1930   57  0.3678  0.0062  0.0375  0.0346  0.0662  0.04
Rosenthal 1931   85  0.244  0.0086  0.0382  0.0387  0.0290  0.02
Rosenthal 1931b   84  0.2541  0.0085  0.0379  0.0388  0.0291  0.02
Rosenthal 1931c   78  0.3017  0.0074  0.0471  0.0482  0.0386  0.03
Rosenthal 1931d   86  0.2442  0.0087  0.0470  0.0480  0.0385  0.03
Rossi 2007   88  0.1779  0.0088  0.0385  0.0380  0.0471  0.03
Rubinstein 1939   68  0.3511  0.0077  0.0384  0.0372  0.0474  0.03
Rubinstein 1952   77  0.3180  0.0080  0.0383  0.0379  0.0387  0.03
Rubinstein 1966   80  0.3081  0.0082  0.0380  0.0388  0.0379  0.03
Schilhawsky 1960   4  0.5618  0.002  0.283  0.5827  0.424  0.49
Shebanova 2002   12  0.505  0.0015  0.098  0.5058  0.0517  0.16
Smith 1975   79  0.3082  0.0075  0.0472  0.0461  0.0455  0.04
Sokolov 2002   35  0.4383  0.0018  0.0723  0.4043  0.1010  0.20
Sztompka 1959   44  0.4184  0.0046  0.0550  0.0580  0.0360  0.04
Tomsic 1995   75  0.3285  0.0083  0.0464  0.0470  0.0558  0.04
Uninsky 1932   22  0.4643  0.0025  0.1026  0.3959  0.0431  0.12
Uninsky 1971   7  0.5486  0.007  0.1812  0.4943  0.168  0.28
Wasowski 1980   27  0.4512  0.0037  0.0538  0.2174  0.0440  0.09
Zak 1937   11  0.5044  0.0021  0.0615  0.4670  0.0421  0.14
Zak 1951   10  0.5187  0.0010  0.0811  0.4954  0.0613  0.17
Average   3  0.5788  0.005  0.252  0.5883  0.0329  0.13
Random 1   91  -0.0289  0.0089  0.0289  0.0210  0.4637  0.10
Random 2   90  -0.0190  0.0091  0.0191  0.0123  0.2851  0.05
Random 3   89  -0.0191  0.0090  0.0190  0.0118  0.3147  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).