Bunin 1987b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   40  0.4130  0.0039  0.0637  0.2576  0.0339  0.09
Anderszewski 2003   25  0.4431  0.0027  0.1224  0.3962  0.0432  0.12
Ashkenazy 1981   20  0.4632  0.0025  0.1314  0.4750  0.0711  0.18
Bacha 2000   62  0.346  0.0065  0.0555  0.0581  0.0352  0.04
Badura 1965   15  0.4733  0.006  0.1411  0.4828  0.365  0.42
Barbosa 1983   54  0.3634  0.0060  0.0470  0.0447  0.0650  0.05
Biret 1990   74  0.3235  0.0069  0.0554  0.0570  0.0471  0.04
Blet 2003   60  0.3536  0.0067  0.0467  0.0473  0.0385  0.03
Block 1995   59  0.3513  0.0052  0.0461  0.0473  0.0465  0.04
Blumental 1952   66  0.3337  0.0062  0.0475  0.0481  0.0467  0.04
Boshniakovich 1969   8  0.5314  0.008  0.186  0.5343  0.119  0.24
Brailowsky 1960   78  0.2938  0.0082  0.0381  0.0373  0.0476  0.03
Bunin 1987   1  0.991  1.001  0.991  1.001  1.001  1.00
Bunin 1987b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Chiu 1999   56  0.3539  0.0044  0.0744  0.1369  0.0445  0.07
Cohen 1997   87  0.208  0.0075  0.0471  0.0463  0.0469  0.04
Cortot 1951   67  0.3340  0.0055  0.0469  0.0468  0.0472  0.04
Csalog 1996   58  0.3515  0.0057  0.0472  0.0472  0.0463  0.04
Czerny 1949   2  0.5641  0.005  0.234  0.5537  0.296  0.40
Czerny 1990   49  0.3742  0.0063  0.0459  0.0487  0.0388  0.03
Duchoud 2007   52  0.3643  0.0043  0.0643  0.1646  0.0636  0.10
Ezaki 2006   35  0.437  0.0036  0.0635  0.2683  0.0338  0.09
Falvay 1989   75  0.3144  0.0077  0.0386  0.0372  0.0478  0.03
Farrell 1958   80  0.2945  0.0078  0.0288  0.0278  0.0482  0.03
Ferenczy 1958   34  0.4346  0.0041  0.0641  0.1756  0.0444  0.08
Fliere 1977   11  0.4947  0.0016  0.0913  0.4871  0.0417  0.14
Fou 1978   64  0.3448  0.0073  0.0458  0.0476  0.0458  0.04
Francois 1956   61  0.3516  0.0070  0.0551  0.0582  0.0374  0.04
Friedman 1923   72  0.3249  0.0046  0.0647  0.0660  0.0551  0.05
Friedman 1923b   69  0.3350  0.0045  0.0645  0.1270  0.0446  0.07
Friedman 1930   51  0.3617  0.0033  0.0734  0.2847  0.0721  0.14
Garcia 2007   47  0.3851  0.0059  0.0377  0.0374  0.0487  0.03
Garcia 2007b   39  0.429  0.0042  0.0742  0.1654  0.0541  0.09
Gierzod 1998   16  0.4652  0.0028  0.0829  0.3786  0.0334  0.11
Gornostaeva 1994   36  0.4253  0.0032  0.0732  0.3073  0.0340  0.09
Groot 1988   28  0.433  0.0011  0.0731  0.3347  0.0623  0.14
Harasiewicz 1955   21  0.4654  0.0021  0.0715  0.4672  0.0425  0.14
Hatto 1993   29  0.4318  0.0031  0.1722  0.4051  0.0616  0.15
Hatto 1997   32  0.4355  0.0030  0.1225  0.3959  0.0522  0.14
Horowitz 1949   7  0.5356  0.009  0.117  0.5021  0.483  0.49
Indjic 1988   30  0.4319  0.0029  0.0923  0.4069  0.0427  0.13
Kapell 1951   9  0.5220  0.0014  0.0716  0.4667  0.0419  0.14
Kissin 1993   41  0.4057  0.0050  0.0646  0.0682  0.0362  0.04
Kushner 1989   33  0.4358  0.0040  0.0640  0.1981  0.0343  0.08
Luisada 1991   42  0.4059  0.0051  0.0552  0.0581  0.0353  0.04
Lushtak 2004   24  0.4521  0.0024  0.1030  0.3564  0.0529  0.13
Malcuzynski 1961   19  0.4622  0.0012  0.0718  0.4550  0.0513  0.15
Magaloff 1978   70  0.3360  0.0071  0.0557  0.0569  0.0455  0.04
Magin 1975   18  0.464  0.0013  0.0919  0.4371  0.0426  0.13
Michalowski 1933   46  0.3961  0.0022  0.0827  0.3834  0.257  0.31
Milkina 1970   45  0.3911  0.0056  0.0468  0.0486  0.0383  0.03
Mohovich 1999   48  0.3823  0.0054  0.0466  0.0478  0.0468  0.04
Moravec 1969   81  0.2862  0.0072  0.0462  0.0474  0.0375  0.03
Morozova 2008   27  0.4363  0.0035  0.0836  0.2565  0.0435  0.10
Neighaus 1950   17  0.4664  0.0023  0.0821  0.4050  0.0524  0.14
Niedzielski 1931   55  0.3565  0.0048  0.0550  0.0583  0.0356  0.04
Ohlsson 1999   23  0.4566  0.0010  0.109  0.5069  0.0420  0.14
Osinska 1989   38  0.4224  0.0047  0.0553  0.0581  0.0354  0.04
Pachmann 1927   50  0.3767  0.0064  0.0556  0.0549  0.0649  0.05
Paderewski 1930   65  0.3410  0.0068  0.0549  0.0553  0.0460  0.04
Perlemuter 1992   31  0.4368  0.0038  0.0639  0.2349  0.0630  0.12
Pierdomenico 2008   83  0.2769  0.0084  0.0385  0.0386  0.0380  0.03
Poblocka 1999   14  0.4870  0.0018  0.0720  0.4157  0.0518  0.14
Rabcewiczowa 1932   53  0.3671  0.0058  0.0473  0.0471  0.0457  0.04
Rachmaninoff 1923   43  0.4072  0.0034  0.0733  0.2980  0.0433  0.11
Rangell 2001   71  0.3373  0.0053  0.0464  0.0471  0.0470  0.04
Richter 1976   5  0.5474  0.003  0.205  0.5316  0.532  0.53
Rosen 1989   63  0.3475  0.0066  0.0460  0.0477  0.0466  0.04
Rosenthal 1930   57  0.3576  0.0061  0.0463  0.0458  0.0464  0.04
Rosenthal 1931   85  0.2325  0.0086  0.0384  0.0384  0.0384  0.03
Rosenthal 1931b   84  0.2526  0.0085  0.0378  0.0376  0.0390  0.03
Rosenthal 1931c   76  0.3077  0.0074  0.0474  0.0467  0.0473  0.04
Rosenthal 1931d   86  0.232  0.0087  0.0476  0.0485  0.0289  0.03
Rossi 2007   88  0.1727  0.0088  0.0382  0.0381  0.0477  0.03
Rubinstein 1939   68  0.3328  0.0079  0.0387  0.0367  0.0481  0.03
Rubinstein 1952   77  0.2978  0.0081  0.0380  0.0384  0.0391  0.03
Rubinstein 1966   82  0.2879  0.0083  0.0465  0.0487  0.0386  0.03
Schilhawsky 1960   4  0.5480  0.002  0.263  0.5729  0.414  0.48
Shebanova 2002   13  0.485  0.0017  0.1012  0.4864  0.0515  0.15
Smith 1975   79  0.2981  0.0076  0.0379  0.0368  0.0479  0.03
Sokolov 2002   37  0.4282  0.0026  0.1128  0.3845  0.0812  0.17
Sztompka 1959   44  0.3983  0.0049  0.0548  0.0583  0.0361  0.04
Tomsic 1995   73  0.3212  0.0080  0.0383  0.0362  0.0659  0.04
Uninsky 1932   22  0.4584  0.0020  0.0626  0.3951  0.0614  0.15
Uninsky 1971   6  0.5385  0.007  0.208  0.5042  0.168  0.28
Wasowski 1980   26  0.4486  0.0037  0.0638  0.2387  0.0342  0.08
Zak 1937   12  0.4987  0.0019  0.0817  0.4548  0.0710  0.18
Zak 1951   10  0.5088  0.0015  0.0810  0.4885  0.0331  0.12
Average   3  0.5589  0.004  0.182  0.5882  0.0328  0.13
Random 1   91  -0.0290  0.0089  0.0289  0.029  0.4737  0.10
Random 2   90  -0.0129  0.0091  0.0191  0.0121  0.3147  0.06
Random 3   89  -0.0191  0.0090  0.0190  0.0112  0.3448  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).