Bunin 1987b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   39  0.4130  0.0038  0.0636  0.2575  0.0338  0.09
Anderszewski 2003   24  0.4431  0.0026  0.1223  0.3961  0.0431  0.12
Ashkenazy 1981   19  0.4632  0.0024  0.1313  0.4749  0.0711  0.18
Bacha 2000   61  0.346  0.0064  0.0554  0.0580  0.0351  0.04
Badura 1965   14  0.4733  0.005  0.1510  0.4827  0.365  0.42
Barbosa 1983   53  0.3634  0.0059  0.0469  0.0446  0.0648  0.05
Biret 1990   73  0.3235  0.0068  0.0553  0.0569  0.0470  0.04
Blet 2003   59  0.3536  0.0066  0.0466  0.0472  0.0384  0.03
Block 1995   58  0.3513  0.0051  0.0460  0.0472  0.0464  0.04
Blumental 1952   65  0.3337  0.0061  0.0474  0.0480  0.0466  0.04
Boshniakovich 1969   7  0.5314  0.007  0.195  0.5342  0.119  0.24
Brailowsky 1960   77  0.2938  0.0081  0.0380  0.0372  0.0475  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   55  0.3539  0.0043  0.0743  0.1368  0.0444  0.07
Cohen 1997   86  0.208  0.0074  0.0470  0.0462  0.0468  0.04
Cortot 1951   66  0.3340  0.0054  0.0468  0.0467  0.0471  0.04
Csalog 1996   57  0.3515  0.0056  0.0471  0.0471  0.0462  0.04
Czerny 1949   2  0.5641  0.004  0.233  0.5536  0.296  0.40
Czerny 1990   48  0.3742  0.0062  0.0458  0.0486  0.0387  0.03
Duchoud 2007   51  0.3643  0.0042  0.0642  0.1645  0.0635  0.10
Ezaki 2006   34  0.437  0.0035  0.0634  0.2682  0.0337  0.09
Falvay 1989   74  0.3144  0.0076  0.0385  0.0371  0.0477  0.03
Farrell 1958   79  0.2945  0.0077  0.0287  0.0277  0.0481  0.03
Ferenczy 1958   33  0.4346  0.0040  0.0640  0.1755  0.0443  0.08
Fliere 1977   10  0.4947  0.0015  0.0912  0.4870  0.0418  0.14
Fou 1978   63  0.3448  0.0072  0.0457  0.0475  0.0457  0.04
Francois 1956   60  0.3516  0.0069  0.0550  0.0581  0.0373  0.04
Friedman 1923   71  0.3249  0.0045  0.0646  0.0659  0.0550  0.05
Friedman 1923b   68  0.3350  0.0044  0.0644  0.1269  0.0445  0.07
Friedman 1930   50  0.3617  0.0032  0.0733  0.2846  0.0722  0.14
Garcia 2007   46  0.3851  0.0058  0.0376  0.0373  0.0486  0.03
Garcia 2007b   38  0.429  0.0041  0.0741  0.1653  0.0540  0.09
Gierzod 1998   15  0.4652  0.0027  0.0828  0.3785  0.0333  0.11
Gornostaeva 1994   35  0.4253  0.0031  0.0731  0.3072  0.0339  0.09
Groot 1988   27  0.433  0.0010  0.0830  0.3346  0.0716  0.15
Harasiewicz 1955   20  0.4654  0.0020  0.0814  0.4671  0.0425  0.14
Hatto 1993   28  0.4318  0.0030  0.1721  0.4050  0.0617  0.15
Hatto 1997   31  0.4355  0.0029  0.1224  0.3958  0.0523  0.14
Horowitz 1949   6  0.5356  0.008  0.126  0.5020  0.483  0.49
Indjic 1988   29  0.4319  0.0028  0.0922  0.4068  0.0427  0.13
Kapell 1951   8  0.5220  0.0013  0.0715  0.4666  0.0420  0.14
Kissin 1993   40  0.4057  0.0049  0.0645  0.0681  0.0361  0.04
Kushner 1989   32  0.4358  0.0039  0.0639  0.1980  0.0342  0.08
Luisada 1991   41  0.4059  0.0050  0.0551  0.0580  0.0352  0.04
Lushtak 2004   23  0.4521  0.0023  0.1029  0.3563  0.0528  0.13
Malcuzynski 1961   18  0.4622  0.0011  0.0817  0.4549  0.0513  0.15
Magaloff 1978   69  0.3360  0.0070  0.0556  0.0568  0.0454  0.04
Magin 1975   17  0.464  0.0012  0.0918  0.4370  0.0426  0.13
Michalowski 1933   45  0.3961  0.0021  0.0826  0.3833  0.257  0.31
Milkina 1970   44  0.3911  0.0055  0.0467  0.0485  0.0382  0.03
Mohovich 1999   47  0.3823  0.0053  0.0465  0.0477  0.0467  0.04
Moravec 1969   80  0.2862  0.0071  0.0461  0.0473  0.0374  0.03
Morozova 2008   26  0.4363  0.0034  0.0835  0.2564  0.0434  0.10
Neighaus 1950   16  0.4664  0.0022  0.0820  0.4049  0.0524  0.14
Niedzielski 1931   54  0.3565  0.0047  0.0549  0.0582  0.0355  0.04
Ohlsson 1999   22  0.4566  0.009  0.108  0.5068  0.0421  0.14
Osinska 1989   37  0.4224  0.0046  0.0552  0.0580  0.0353  0.04
Pachmann 1927   49  0.3767  0.0063  0.0555  0.0548  0.0647  0.05
Paderewski 1930   64  0.3410  0.0067  0.0548  0.0552  0.0459  0.04
Perlemuter 1992   30  0.4368  0.0037  0.0638  0.2348  0.0629  0.12
Pierdomenico 2008   82  0.2769  0.0083  0.0384  0.0385  0.0379  0.03
Poblocka 1999   13  0.4870  0.0017  0.0719  0.4156  0.0519  0.14
Rabcewiczowa 1932   52  0.3671  0.0057  0.0472  0.0470  0.0456  0.04
Rachmaninoff 1923   42  0.4072  0.0033  0.0732  0.2979  0.0432  0.11
Rangell 2001   70  0.3373  0.0052  0.0463  0.0470  0.0469  0.04
Richter 1976   4  0.5474  0.003  0.244  0.5315  0.532  0.53
Rosen 1989   62  0.3475  0.0065  0.0459  0.0476  0.0465  0.04
Rosenthal 1930   56  0.3576  0.0060  0.0462  0.0457  0.0463  0.04
Rosenthal 1931   84  0.2325  0.0085  0.0383  0.0383  0.0383  0.03
Rosenthal 1931b   83  0.2526  0.0084  0.0377  0.0375  0.0389  0.03
Rosenthal 1931c   75  0.3077  0.0073  0.0473  0.0466  0.0472  0.04
Rosenthal 1931d   85  0.232  0.0086  0.0475  0.0484  0.0288  0.03
Rossi 2007   87  0.1727  0.0087  0.0381  0.0380  0.0476  0.03
Rubinstein 1939   67  0.3328  0.0078  0.0386  0.0366  0.0480  0.03
Rubinstein 1952   76  0.2978  0.0080  0.0379  0.0383  0.0390  0.03
Rubinstein 1966   81  0.2879  0.0082  0.0464  0.0486  0.0385  0.03
Schilhawsky 1960   3  0.5480  0.002  0.282  0.5728  0.414  0.48
Shebanova 2002   12  0.485  0.0016  0.1011  0.4863  0.0515  0.15
Smith 1975   78  0.2981  0.0075  0.0378  0.0367  0.0478  0.03
Sokolov 2002   36  0.4282  0.0025  0.1127  0.3844  0.0812  0.17
Sztompka 1959   43  0.3983  0.0048  0.0547  0.0582  0.0360  0.04
Tomsic 1995   72  0.3212  0.0079  0.0382  0.0361  0.0658  0.04
Uninsky 1932   21  0.4584  0.0019  0.0625  0.3950  0.0614  0.15
Uninsky 1971   5  0.5385  0.006  0.207  0.5041  0.168  0.28
Wasowski 1980   25  0.4486  0.0036  0.0637  0.2386  0.0341  0.08
Zak 1937   11  0.4987  0.0018  0.0816  0.4547  0.0810  0.19
Zak 1951   9  0.5088  0.0014  0.089  0.4884  0.0330  0.12
Random 1   90  -0.0289  0.0088  0.0288  0.029  0.4636  0.10
Random 2   89  -0.0129  0.0090  0.0190  0.0120  0.3049  0.05
Random 3   88  -0.0190  0.0089  0.0189  0.0111  0.3346  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).