Bunin 1987b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   83  0.2242  0.0086  0.0386  0.0388  0.0288  0.02
Anderszewski 2003   6  0.4943  0.004  0.126  0.6040  0.237  0.37
Ashkenazy 1981   58  0.3444  0.0067  0.0472  0.0446  0.0761  0.05
Bacha 2000   51  0.364  0.0037  0.0638  0.1724  0.3316  0.24
Badura 1965   45  0.3712  0.0014  0.1218  0.4022  0.375  0.38
Barbosa 1983   8  0.4845  0.007  0.138  0.5748  0.0819  0.21
Biret 1990   46  0.3723  0.0052  0.0649  0.0674  0.0375  0.04
Blet 2003   47  0.3724  0.0036  0.0633  0.2321  0.2617  0.24
Block 1995   72  0.2815  0.0071  0.0470  0.0482  0.0384  0.03
Blumental 1952   36  0.3846  0.0051  0.0558  0.0571  0.0560  0.05
Boshniakovich 1969   12  0.4516  0.0013  0.1312  0.5057  0.0624  0.17
Brailowsky 1960   68  0.2947  0.0076  0.0563  0.0575  0.0463  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   60  0.3313  0.0046  0.0652  0.0642  0.1345  0.09
Cohen 1997   66  0.2914  0.0043  0.0639  0.1631  0.1825  0.17
Cortot 1951   85  0.1748  0.0087  0.0385  0.0380  0.0291  0.02
Csalog 1996   34  0.3949  0.0038  0.0629  0.2856  0.0535  0.12
Czerny 1949   11  0.4525  0.0028  0.0525  0.3253  0.0728  0.15
Czerny 1990   37  0.3850  0.0048  0.0648  0.0670  0.0462  0.05
Duchoud 2007   80  0.2451  0.0022  0.0641  0.1328  0.4418  0.24
Ezaki 2006   10  0.4710  0.009  0.127  0.5738  0.218  0.35
Falvay 1989   14  0.4426  0.008  0.119  0.5644  0.1611  0.30
Farrell 1958   61  0.3352  0.0066  0.0471  0.0461  0.0568  0.04
Ferenczy 1958   56  0.3517  0.0062  0.0475  0.0462  0.0572  0.04
Fliere 1977   16  0.4427  0.0012  0.1216  0.4346  0.0626  0.16
Fou 1978   79  0.2553  0.0083  0.0383  0.0383  0.0379  0.03
Francois 1956   75  0.2628  0.0070  0.0469  0.0457  0.0577  0.04
Friedman 1923   87  0.1454  0.0080  0.0381  0.0378  0.0485  0.03
Friedman 1923b   86  0.1655  0.0079  0.0388  0.0362  0.0574  0.04
Friedman 1930   77  0.2556  0.0049  0.0559  0.0545  0.1447  0.08
Garcia 2007   54  0.3657  0.0050  0.0557  0.0535  0.2737  0.12
Garcia 2007b   43  0.376  0.0027  0.0536  0.1953  0.0640  0.11
Gierzod 1998   15  0.4458  0.0029  0.0632  0.2469  0.0444  0.10
Gornostaeva 1994   7  0.4859  0.0010  0.1410  0.5628  0.373  0.46
Groot 1988   21  0.4218  0.0017  0.0920  0.4041  0.1120  0.21
Harasiewicz 1955   55  0.3519  0.0068  0.0555  0.0580  0.0376  0.04
Hatto 1993   17  0.4360  0.0021  0.0721  0.3965  0.0438  0.12
Hatto 1997   26  0.4161  0.0026  0.0524  0.3564  0.0436  0.12
Horowitz 1949   38  0.3862  0.0056  0.0466  0.0432  0.2542  0.10
Indjic 1988   23  0.4263  0.0025  0.0523  0.3766  0.0434  0.12
Kapell 1951   9  0.4729  0.0015  0.0917  0.4247  0.0823  0.18
Kissin 1993   70  0.2864  0.0082  0.0376  0.0379  0.0482  0.03
Kushner 1989   13  0.4565  0.0019  0.1213  0.4554  0.0627  0.16
Luisada 1991   33  0.3966  0.0054  0.0746  0.0745  0.1441  0.10
Lushtak 2004   25  0.412  0.0011  0.1211  0.5241  0.219  0.33
Malcuzynski 1961   4  0.5030  0.003  0.253  0.7128  0.412  0.54
Magaloff 1978   53  0.3667  0.0059  0.0564  0.0567  0.0366  0.04
Magin 1975   27  0.418  0.0047  0.0747  0.0770  0.0458  0.05
Michalowski 1933   88  0.1368  0.0088  0.0379  0.0375  0.0381  0.03
Milkina 1970   3  0.5169  0.006  0.175  0.6244  0.1114  0.26
Mohovich 1999   19  0.429  0.0018  0.1122  0.3846  0.0629  0.15
Moravec 1969   22  0.4270  0.0035  0.0627  0.2953  0.0730  0.14
Morozova 2008   18  0.4371  0.0020  0.1014  0.4535  0.2210  0.31
Neighaus 1950   67  0.2972  0.0039  0.0545  0.1064  0.0452  0.06
Niedzielski 1931   78  0.2573  0.0073  0.0554  0.0558  0.0557  0.05
Ohlsson 1999   50  0.3774  0.0016  0.0915  0.4434  0.316  0.37
Osinska 1989   5  0.493  0.005  0.154  0.6240  0.234  0.38
Pachmann 1927   76  0.2631  0.0063  0.0378  0.0352  0.0571  0.04
Paderewski 1930   82  0.225  0.0078  0.0384  0.0351  0.0570  0.04
Perlemuter 1992   40  0.3832  0.0034  0.0634  0.2328  0.3213  0.27
Pierdomenico 2008   81  0.2375  0.0077  0.0382  0.0373  0.0378  0.03
Poblocka 1999   48  0.3776  0.0061  0.0560  0.0563  0.0655  0.05
Rabcewiczowa 1932   20  0.4233  0.0024  0.0528  0.2856  0.0533  0.12
Rachmaninoff 1923   74  0.2777  0.0057  0.0467  0.0456  0.0567  0.04
Rangell 2001   49  0.3734  0.0040  0.0537  0.1843  0.1032  0.13
Richter 1976   64  0.3235  0.0060  0.0556  0.0563  0.0469  0.04
Rosen 1989   52  0.3678  0.0042  0.0640  0.1355  0.0450  0.07
Rosenthal 1930   71  0.2879  0.0081  0.0380  0.0361  0.0483  0.03
Rosenthal 1931   63  0.3236  0.0072  0.0561  0.0556  0.0559  0.05
Rosenthal 1931b   59  0.3420  0.0064  0.0377  0.0332  0.2448  0.08
Rosenthal 1931c   35  0.3837  0.0045  0.0544  0.1139  0.1831  0.14
Rosenthal 1931d   62  0.337  0.0065  0.0474  0.0437  0.2146  0.09
Rossi 2007   57  0.3438  0.0069  0.0465  0.0453  0.0565  0.04
Rubinstein 1939   32  0.3921  0.0058  0.0562  0.0553  0.0556  0.05
Rubinstein 1952   42  0.3780  0.0031  0.0643  0.1173  0.0353  0.06
Rubinstein 1966   29  0.4081  0.0030  0.0535  0.1967  0.0543  0.10
Schilhawsky 1960   28  0.4082  0.0032  0.0630  0.2638  0.2515  0.25
Shebanova 2002   31  0.4022  0.0023  0.0519  0.4036  0.2112  0.29
Smith 1975   84  0.2039  0.0085  0.0387  0.0386  0.0286  0.02
Sokolov 2002   65  0.3083  0.0074  0.0650  0.0678  0.0364  0.04
Sztompka 1959   73  0.2784  0.0084  0.0473  0.0485  0.0380  0.03
Tomsic 1995   30  0.4011  0.0041  0.0731  0.2442  0.1522  0.19
Uninsky 1932   69  0.2885  0.0075  0.0468  0.0454  0.0573  0.04
Uninsky 1971   44  0.3786  0.0053  0.0653  0.0652  0.0651  0.06
Wasowski 1980   41  0.3887  0.0055  0.0651  0.0680  0.0454  0.05
Zak 1937   39  0.3888  0.0044  0.0642  0.1375  0.0449  0.07
Zak 1951   24  0.4140  0.0033  0.0626  0.3164  0.0439  0.11
Average   2  0.5889  0.002  0.532  0.7961  0.0521  0.20
Random 1   90  -0.0490  0.0089  0.0189  0.0146  0.0689  0.02
Random 2   89  0.0041  0.0091  0.0191  0.0169  0.0387  0.02
Random 3   91  -0.0491  0.0090  0.0190  0.0149  0.0590  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).