Bunin 1987b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.634  0.0034  0.0736  0.2143  0.0941  0.14
Anderszewski 2003   41  0.595  0.0024  0.0826  0.3317  0.3922  0.36
Ashkenazy 1981   33  0.626  0.0039  0.0739  0.1654  0.0452  0.08
Bacha 2000   81  0.367  0.0087  0.0381  0.0380  0.0286  0.02
Badura 1965   58  0.518  0.0051  0.0555  0.0537  0.2148  0.10
Barbosa 1983   28  0.639  0.0027  0.0733  0.2619  0.3926  0.32
Biret 1990   39  0.6110  0.0052  0.0460  0.0454  0.0468  0.04
Blet 2003   7  0.7511  0.0012  0.1210  0.4613  0.4010  0.43
Block 1995   76  0.3912  0.0060  0.0372  0.0363  0.0481  0.03
Blumental 1952   78  0.3813  0.0078  0.0469  0.0463  0.0466  0.04
Boshniakovich 1969   47  0.5714  0.0062  0.0374  0.0356  0.0483  0.03
Brailowsky 1960   51  0.5615  0.0065  0.0462  0.0456  0.0560  0.04
Bunin 1987   1  1.001  1.001  0.990  1.001  1.001  1.00
Bunin 1987b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Chiu 1999   69  0.4716  0.0067  0.0461  0.0450  0.0561  0.04
Cohen 1997   88  0.2217  0.0081  0.0285  0.0259  0.0484  0.03
Cortot 1951   49  0.5618  0.0053  0.0551  0.0543  0.1650  0.09
Csalog 1996   85  0.2819  0.0088  0.0382  0.0364  0.0378  0.03
Czerny 1949   24  0.6520  0.0029  0.0625  0.3426  0.3128  0.32
Czerny 1990   17  0.6921  0.0023  0.1021  0.3735  0.2032  0.27
Duchoud 2007   22  0.6722  0.0030  0.0723  0.3622  0.4118  0.38
Ezaki 2006   6  0.7623  0.008  0.167  0.4917  0.388  0.43
Falvay 1989   46  0.5724  0.0064  0.0459  0.0449  0.0562  0.04
Farrell 1958   35  0.6225  0.0058  0.0549  0.0530  0.1849  0.09
Ferenczy 1958   23  0.6626  0.0036  0.0632  0.278  0.4924  0.36
Fliere 1977   11  0.7127  0.0016  0.0720  0.3837  0.1433  0.23
Fou 1978   55  0.5328  0.0066  0.0465  0.0447  0.0856  0.06
Francois 1956   32  0.6229  0.0035  0.0837  0.1946  0.0746  0.12
Friedman 1923   84  0.2930  0.0055  0.0463  0.0414  0.4342  0.13
Friedman 1923b   83  0.3031  0.0054  0.0554  0.0512  0.4340  0.15
Friedman 1930   64  0.4832  0.0028  0.0628  0.3011  0.4323  0.36
Garcia 2007   70  0.4633  0.0061  0.0373  0.0320  0.3447  0.10
Garcia 2007b   87  0.2834  0.0070  0.0379  0.0346  0.0669  0.04
Gierzod 1998   45  0.5735  0.0063  0.0464  0.0479  0.0380  0.03
Gornostaeva 1994   38  0.6136  0.0048  0.0552  0.0569  0.0367  0.04
Groot 1988   18  0.6937  0.0014  0.0719  0.3829  0.2429  0.30
Harasiewicz 1955   25  0.6438  0.003  0.188  0.494  0.466  0.47
Hatto 1993   68  0.4739  0.0047  0.0548  0.0523  0.2944  0.12
Hatto 1997   43  0.5840  0.0033  0.0631  0.2715  0.3927  0.32
Horowitz 1949   50  0.5641  0.0059  0.0547  0.0541  0.1154  0.07
Indjic 1988   59  0.5142  0.0042  0.0644  0.1118  0.3736  0.20
Kapell 1951   12  0.7143  0.0018  0.0713  0.4316  0.449  0.43
Kissin 1993   71  0.4544  0.0079  0.0468  0.0489  0.0277  0.03
Kushner 1989   53  0.5445  0.0068  0.0550  0.0564  0.0464  0.04
Luisada 1991   54  0.5346  0.0072  0.0378  0.0361  0.0470  0.03
Lushtak 2004   3  0.7847  0.004  0.143  0.584  0.602  0.59
Malcuzynski 1961   15  0.7148  0.0020  0.0811  0.4532  0.1831  0.28
Magaloff 1978   34  0.6249  0.0026  0.0734  0.2446  0.0643  0.12
Magin 1975   66  0.4750  0.0069  0.0467  0.0454  0.0463  0.04
Michalowski 1933   74  0.4351  0.0038  0.0735  0.2326  0.3730  0.29
Milkina 1970   73  0.4452  0.0082  0.0383  0.0377  0.0376  0.03
Mohovich 1999   8  0.7453  0.0010  0.1014  0.4320  0.3616  0.39
Moravec 1969   75  0.4054  0.0083  0.0286  0.0285  0.0287  0.02
Morozova 2008   30  0.6355  0.0025  0.0730  0.2719  0.2034  0.23
Neighaus 1950   14  0.7156  0.0015  0.0712  0.4527  0.3219  0.38
Niedzielski 1931   79  0.3757  0.0080  0.0371  0.0363  0.0375  0.03
Ohlsson 1999   37  0.6158  0.0050  0.0456  0.0448  0.0657  0.05
Osinska 1989   63  0.4859  0.0076  0.0380  0.0374  0.0371  0.03
Pachmann 1927   44  0.5860  0.009  0.1027  0.3111  0.5113  0.40
Paderewski 1930   48  0.5761  0.0043  0.0542  0.1220  0.2639  0.18
Perlemuter 1992   20  0.6862  0.0019  0.0716  0.4212  0.4211  0.42
Pierdomenico 2008   67  0.4763  0.0073  0.0466  0.0478  0.0373  0.03
Poblocka 1999   31  0.622  0.0041  0.0541  0.1268  0.0355  0.06
Rabcewiczowa 1932   52  0.5664  0.0049  0.0457  0.0442  0.1253  0.07
Rachmaninoff 1923   19  0.6865  0.0013  0.0915  0.4313  0.3812  0.40
Rangell 2001   72  0.4466  0.0075  0.0376  0.0376  0.0385  0.03
Richter 1976   36  0.6167  0.0032  0.0824  0.357  0.4217  0.38
Rosen 1989   65  0.4768  0.0071  0.0375  0.0354  0.0482  0.03
Rosenthal 1930   26  0.633  0.0031  0.0729  0.3014  0.4620  0.37
Rosenthal 1931   56  0.5269  0.0044  0.0643  0.1226  0.3337  0.20
Rosenthal 1931b   62  0.4970  0.0045  0.0545  0.0933  0.1745  0.12
Rosenthal 1931c   42  0.5971  0.0040  0.0738  0.1624  0.3035  0.22
Rosenthal 1931d   60  0.4972  0.0046  0.0546  0.0548  0.0558  0.05
Rossi 2007   86  0.2873  0.0074  0.0377  0.0347  0.0472  0.03
Rubinstein 1939   82  0.3174  0.0086  0.0288  0.0257  0.0574  0.03
Rubinstein 1952   77  0.3875  0.0084  0.0287  0.0276  0.0390  0.02
Rubinstein 1966   57  0.5276  0.0077  0.0370  0.0355  0.0565  0.04
Schilhawsky 1960   9  0.7477  0.006  0.194  0.564  0.564  0.56
Shebanova 2002   80  0.3678  0.0085  0.0284  0.0284  0.0388  0.02
Smith 1975   10  0.7379  0.0011  0.099  0.4623  0.2625  0.35
Sokolov 2002   4  0.7780  0.007  0.196  0.5114  0.445  0.47
Sztompka 1959   16  0.6981  0.0022  0.0817  0.4120  0.3914  0.40
Tomsic 1995   13  0.7182  0.0021  0.0922  0.3620  0.3621  0.36
Uninsky 1932   21  0.6783  0.0017  0.0718  0.416  0.507  0.45
Uninsky 1971   5  0.7784  0.002  0.185  0.552  0.583  0.56
Wasowski 1980   61  0.4985  0.0056  0.0458  0.0464  0.0459  0.04
Zak 1937   40  0.6086  0.0057  0.0553  0.0542  0.1451  0.08
Zak 1951   29  0.6387  0.0037  0.0740  0.1532  0.2538  0.19
Average   2  0.8188  0.005  0.132  0.5826  0.2815  0.40
Random 1   89  -0.0589  0.0090  0.0190  0.0152  0.0589  0.02
Random 2   91  -0.1390  0.0089  0.0289  0.0250  0.0479  0.03
Random 3   90  -0.0691  0.0091  0.0191  0.0177  0.0291  0.01

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).