Bunin 1987b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   82  0.2242  0.0085  0.0385  0.0387  0.0287  0.02
Anderszewski 2003   5  0.4943  0.003  0.135  0.6039  0.237  0.37
Ashkenazy 1981   57  0.3444  0.0066  0.0471  0.0445  0.0760  0.05
Bacha 2000   50  0.364  0.0036  0.0637  0.1723  0.3316  0.24
Badura 1965   44  0.3712  0.0013  0.1317  0.4021  0.375  0.38
Barbosa 1983   7  0.4845  0.006  0.137  0.5747  0.0819  0.21
Biret 1990   45  0.3723  0.0051  0.0648  0.0673  0.0375  0.04
Blet 2003   46  0.3724  0.0035  0.0632  0.2320  0.2617  0.24
Block 1995   71  0.2815  0.0070  0.0469  0.0481  0.0383  0.03
Blumental 1952   35  0.3846  0.0050  0.0557  0.0570  0.0559  0.05
Boshniakovich 1969   11  0.4516  0.0012  0.1311  0.5056  0.0624  0.17
Brailowsky 1960   67  0.2947  0.0075  0.0562  0.0574  0.0462  0.04
Bunin 1987   1  0.971  0.991  0.981  1.001  1.001  1.00
Bunin 1987b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Chiu 1999   59  0.3313  0.0045  0.0651  0.0641  0.1344  0.09
Cohen 1997   65  0.2914  0.0042  0.0638  0.1630  0.1825  0.17
Cortot 1951   84  0.1748  0.0086  0.0384  0.0379  0.0290  0.02
Csalog 1996   33  0.3949  0.0037  0.0728  0.2855  0.0534  0.12
Czerny 1949   10  0.4525  0.0027  0.0524  0.3252  0.0727  0.15
Czerny 1990   36  0.3850  0.0047  0.0647  0.0669  0.0461  0.05
Duchoud 2007   79  0.2451  0.0021  0.0640  0.1327  0.4418  0.24
Ezaki 2006   9  0.4710  0.008  0.126  0.5737  0.218  0.35
Falvay 1989   13  0.4426  0.007  0.118  0.5643  0.1611  0.30
Farrell 1958   60  0.3352  0.0065  0.0470  0.0460  0.0567  0.04
Ferenczy 1958   55  0.3517  0.0061  0.0474  0.0461  0.0572  0.04
Fliere 1977   15  0.4427  0.0011  0.1215  0.4345  0.0723  0.17
Fou 1978   78  0.2553  0.0082  0.0382  0.0382  0.0379  0.03
Francois 1956   74  0.2628  0.0069  0.0468  0.0456  0.0577  0.04
Friedman 1923   86  0.1454  0.0079  0.0380  0.0377  0.0484  0.03
Friedman 1923b   85  0.1655  0.0078  0.0387  0.0361  0.0574  0.04
Friedman 1930   76  0.2556  0.0048  0.0558  0.0544  0.1446  0.08
Garcia 2007   53  0.3657  0.0049  0.0556  0.0534  0.2736  0.12
Garcia 2007b   42  0.376  0.0026  0.0535  0.1952  0.0639  0.11
Gierzod 1998   14  0.4458  0.0028  0.0631  0.2468  0.0443  0.10
Gornostaeva 1994   6  0.4859  0.009  0.149  0.5627  0.373  0.46
Groot 1988   20  0.4218  0.0016  0.0919  0.4040  0.1120  0.21
Harasiewicz 1955   54  0.3519  0.0067  0.0554  0.0579  0.0376  0.04
Hatto 1993   16  0.4360  0.0020  0.0720  0.3964  0.0437  0.12
Hatto 1997   25  0.4161  0.0025  0.0523  0.3563  0.0435  0.12
Horowitz 1949   37  0.3862  0.0055  0.0465  0.0431  0.2541  0.10
Indjic 1988   22  0.4263  0.0024  0.0522  0.3765  0.0433  0.12
Kapell 1951   8  0.4729  0.0014  0.0916  0.4246  0.0822  0.18
Kissin 1993   69  0.2864  0.0081  0.0475  0.0478  0.0471  0.04
Kushner 1989   12  0.4565  0.0018  0.1212  0.4553  0.0626  0.16
Luisada 1991   32  0.3966  0.0053  0.0745  0.0744  0.1440  0.10
Lushtak 2004   24  0.412  0.0010  0.1210  0.5240  0.219  0.33
Malcuzynski 1961   3  0.5030  0.002  0.262  0.7127  0.412  0.54
Magaloff 1978   52  0.3667  0.0058  0.0563  0.0566  0.0465  0.04
Magin 1975   26  0.418  0.0046  0.0746  0.0769  0.0457  0.05
Michalowski 1933   87  0.1368  0.0087  0.0378  0.0374  0.0381  0.03
Milkina 1970   2  0.5169  0.005  0.174  0.6243  0.1114  0.26
Mohovich 1999   18  0.429  0.0017  0.1121  0.3845  0.0628  0.15
Moravec 1969   21  0.4270  0.0034  0.0626  0.2952  0.0729  0.14
Morozova 2008   17  0.4371  0.0019  0.1013  0.4534  0.2210  0.31
Neighaus 1950   66  0.2972  0.0038  0.0544  0.1063  0.0451  0.06
Niedzielski 1931   77  0.2573  0.0072  0.0553  0.0557  0.0556  0.05
Ohlsson 1999   49  0.3774  0.0015  0.0914  0.4433  0.316  0.37
Osinska 1989   4  0.493  0.004  0.153  0.6239  0.234  0.38
Pachmann 1927   75  0.2631  0.0062  0.0377  0.0351  0.0570  0.04
Paderewski 1930   81  0.225  0.0077  0.0383  0.0350  0.0569  0.04
Perlemuter 1992   39  0.3832  0.0033  0.0733  0.2327  0.3213  0.27
Pierdomenico 2008   80  0.2375  0.0076  0.0381  0.0372  0.0378  0.03
Poblocka 1999   47  0.3776  0.0060  0.0559  0.0562  0.0654  0.05
Rabcewiczowa 1932   19  0.4233  0.0023  0.0527  0.2855  0.0532  0.12
Rachmaninoff 1923   73  0.2777  0.0056  0.0466  0.0455  0.0566  0.04
Rangell 2001   48  0.3734  0.0039  0.0536  0.1842  0.1031  0.13
Richter 1976   63  0.3235  0.0059  0.0555  0.0562  0.0468  0.04
Rosen 1989   51  0.3678  0.0041  0.0639  0.1354  0.0547  0.08
Rosenthal 1930   70  0.2879  0.0080  0.0379  0.0360  0.0482  0.03
Rosenthal 1931   62  0.3236  0.0071  0.0560  0.0555  0.0558  0.05
Rosenthal 1931b   58  0.3420  0.0063  0.0376  0.0331  0.2448  0.08
Rosenthal 1931c   34  0.3837  0.0044  0.0643  0.1138  0.1830  0.14
Rosenthal 1931d   61  0.337  0.0064  0.0473  0.0436  0.2145  0.09
Rossi 2007   56  0.3438  0.0068  0.0464  0.0452  0.0564  0.04
Rubinstein 1939   31  0.3921  0.0057  0.0561  0.0552  0.0555  0.05
Rubinstein 1952   41  0.3780  0.0030  0.0642  0.1172  0.0352  0.06
Rubinstein 1966   28  0.4081  0.0029  0.0534  0.1966  0.0542  0.10
Schilhawsky 1960   27  0.4082  0.0031  0.0629  0.2637  0.2515  0.25
Shebanova 2002   30  0.4022  0.0022  0.0618  0.4035  0.2112  0.29
Smith 1975   83  0.2039  0.0084  0.0386  0.0385  0.0285  0.02
Sokolov 2002   64  0.3083  0.0073  0.0649  0.0677  0.0363  0.04
Sztompka 1959   72  0.2784  0.0083  0.0472  0.0484  0.0380  0.03
Tomsic 1995   29  0.4011  0.0040  0.0730  0.2441  0.1521  0.19
Uninsky 1932   68  0.2885  0.0074  0.0467  0.0453  0.0573  0.04
Uninsky 1971   43  0.3786  0.0052  0.0652  0.0651  0.0650  0.06
Wasowski 1980   40  0.3887  0.0054  0.0650  0.0679  0.0453  0.05
Zak 1937   38  0.3888  0.0043  0.0641  0.1374  0.0449  0.07
Zak 1951   23  0.4140  0.0032  0.0625  0.3163  0.0438  0.11
Random 1   89  -0.0489  0.0088  0.0188  0.0146  0.0688  0.02
Random 2   88  0.0041  0.0090  0.0190  0.0172  0.0386  0.02
Random 3   90  -0.0490  0.0089  0.0189  0.0149  0.0589  0.02

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).