Uninsky 1971

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.7625  0.005  0.1410  0.4713  0.4415  0.45
Anderszewski 2003   56  0.5087  0.0055  0.0660  0.0671  0.0459  0.05
Ashkenazy 1981   55  0.5260  0.0039  0.1042  0.2244  0.0940  0.14
Bacha 2000   75  0.3632  0.0064  0.0748  0.0779  0.0353  0.05
Badura 1965   27  0.683  0.037  0.1211  0.461  0.626  0.53
Barbosa 1983   80  0.3117  0.0168  0.0471  0.0467  0.0471  0.04
Biret 1990   66  0.4374  0.0062  0.0751  0.0775  0.0363  0.05
Blet 2003   16  0.7115  0.0135  0.0832  0.366  0.4623  0.41
Block 1995   46  0.5758  0.0048  0.0847  0.0841  0.1147  0.09
Blumental 1952   67  0.4368  0.0053  0.0466  0.0456  0.0574  0.04
Boshniakovich 1969   4  0.775  0.0211  0.088  0.4715  0.5310  0.50
Brailowsky 1960   73  0.3742  0.0075  0.0480  0.0479  0.0377  0.03
Bunin 1987   30  0.6575  0.0031  0.0831  0.376  0.5121  0.43
Bunin 1987b   31  0.6465  0.0030  0.0830  0.376  0.5216  0.44
Chiu 1999   68  0.428  0.0161  0.0658  0.0655  0.0455  0.05
Cohen 1997   88  0.1176  0.0076  0.0382  0.0380  0.0384  0.03
Cortot 1951   23  0.6980  0.0037  0.0737  0.3213  0.4630  0.38
Csalog 1996   60  0.4941  0.0056  0.0476  0.0441  0.1249  0.07
Czerny 1949   5  0.7753  0.004  0.233  0.527  0.555  0.53
Czerny 1990   39  0.609  0.0145  0.0645  0.1276  0.0351  0.06
Duchoud 2007   58  0.5047  0.0052  0.0656  0.0640  0.1346  0.09
Ezaki 2006   47  0.5769  0.0050  0.0750  0.0773  0.0352  0.05
Falvay 1989   87  0.2077  0.0088  0.0288  0.0282  0.0290  0.02
Farrell 1958   77  0.3483  0.0072  0.0472  0.0487  0.0380  0.03
Ferenczy 1958   18  0.7044  0.0032  0.0918  0.433  0.5412  0.48
Fliere 1977   10  0.7431  0.0012  0.0822  0.4222  0.3627  0.39
Fou 1978   50  0.5572  0.0043  0.0843  0.1838  0.1338  0.15
Francois 1956   62  0.4988  0.0065  0.0653  0.0663  0.0464  0.05
Friedman 1923   33  0.6410  0.0116  0.0912  0.467  0.598  0.52
Friedman 1923b   35  0.636  0.0115  0.097  0.477  0.597  0.53
Friedman 1930   34  0.6455  0.0034  0.0935  0.3316  0.4926  0.40
Garcia 2007   29  0.6684  0.0038  0.0838  0.2830  0.2537  0.26
Garcia 2007b   17  0.7170  0.0022  0.1626  0.4014  0.4820  0.44
Gierzod 1998   13  0.7212  0.0120  0.1120  0.4217  0.4125  0.41
Gornostaeva 1994   57  0.5049  0.0066  0.0654  0.0679  0.0375  0.04
Groot 1988   71  0.3939  0.0071  0.0381  0.0377  0.0487  0.03
Harasiewicz 1955   24  0.6929  0.0017  0.106  0.4714  0.4219  0.44
Hatto 1993   42  0.6028  0.0010  0.0724  0.4210  0.5113  0.46
Hatto 1997   38  0.6154  0.009  0.0723  0.4212  0.4617  0.44
Horowitz 1949   15  0.7213  0.0125  0.1016  0.436  0.5411  0.48
Indjic 1988   37  0.6116  0.018  0.0817  0.4312  0.4814  0.45
Kapell 1951   8  0.7527  0.0019  0.099  0.4714  0.3128  0.38
Kissin 1993   12  0.7420  0.0024  0.1025  0.4023  0.3729  0.38
Kushner 1989   44  0.5961  0.0054  0.0468  0.0462  0.0569  0.04
Luisada 1991   43  0.5918  0.0042  0.0741  0.2253  0.0643  0.11
Lushtak 2004   64  0.4664  0.0059  0.0467  0.0462  0.0473  0.04
Malcuzynski 1961   49  0.5514  0.0147  0.0661  0.0626  0.2442  0.12
Magaloff 1978   78  0.3443  0.0081  0.0563  0.0571  0.0466  0.04
Magin 1975   25  0.6856  0.0041  0.0940  0.2652  0.0544  0.11
Michalowski 1933   9  0.752  0.036  0.145  0.493  0.613  0.55
Milkina 1970   45  0.574  0.0251  0.0749  0.0782  0.0358  0.05
Mohovich 1999   52  0.5323  0.0060  0.0657  0.0670  0.0462  0.05
Moravec 1969   69  0.4145  0.0078  0.0479  0.0452  0.0565  0.04
Morozova 2008   32  0.6466  0.0040  0.0739  0.2644  0.0939  0.15
Neighaus 1950   28  0.6740  0.0013  0.0914  0.4418  0.4518  0.44
Niedzielski 1931   19  0.7062  0.0036  0.0936  0.3225  0.4032  0.36
Ohlsson 1999   48  0.5630  0.0028  0.0833  0.3433  0.2433  0.29
Osinska 1989   40  0.6081  0.0049  0.0659  0.0654  0.0554  0.05
Pachmann 1927   54  0.5336  0.0067  0.0562  0.0555  0.0470  0.04
Paderewski 1930   51  0.5489  0.0057  0.0477  0.0444  0.0950  0.06
Perlemuter 1992   41  0.6063  0.0033  0.1034  0.3329  0.2434  0.28
Pierdomenico 2008   79  0.3471  0.0079  0.0478  0.0482  0.0379  0.03
Poblocka 1999   2  0.8537  0.002  0.214  0.499  0.549  0.51
Rabcewiczowa 1932   53  0.5351  0.0058  0.0564  0.0547  0.0657  0.05
Rachmaninoff 1923   61  0.4919  0.0063  0.0946  0.0978  0.0356  0.05
Rangell 2001   74  0.3750  0.0074  0.0475  0.0479  0.0385  0.03
Richter 1976   7  0.757  0.0123  0.1313  0.453  0.624  0.53
Rosen 1989   36  0.6282  0.0046  0.0752  0.0765  0.0461  0.05
Rosenthal 1930   63  0.4890  0.0070  0.0470  0.0465  0.0472  0.04
Rosenthal 1931   82  0.3133  0.0085  0.0385  0.0380  0.0382  0.03
Rosenthal 1931b   84  0.3086  0.0086  0.0387  0.0384  0.0388  0.03
Rosenthal 1931c   76  0.3491  0.0084  0.0473  0.0486  0.0389  0.03
Rosenthal 1931d   85  0.2852  0.0087  0.0386  0.0380  0.0386  0.03
Rossi 2007   86  0.2373  0.0082  0.0384  0.0376  0.0478  0.03
Rubinstein 1939   70  0.3946  0.0073  0.0565  0.0582  0.0368  0.04
Rubinstein 1952   83  0.3085  0.0080  0.0469  0.0479  0.0476  0.04
Rubinstein 1966   81  0.3178  0.0077  0.0474  0.0488  0.0383  0.03
Schilhawsky 1960   3  0.8024  0.003  0.222  0.535  0.592  0.56
Shebanova 2002   11  0.7435  0.0014  0.1015  0.4414  0.3924  0.41
Smith 1975   59  0.4911  0.0169  0.0655  0.0683  0.0367  0.04
Sokolov 2002   65  0.4434  0.0044  0.0644  0.1246  0.0648  0.08
Sztompka 1959   20  0.7026  0.0018  0.1019  0.4225  0.3231  0.37
Tomsic 1995   72  0.3848  0.0083  0.0383  0.0381  0.0381  0.03
Uninsky 1932   1  0.911  0.701  0.701  0.811  0.861  0.83
Uninsky 1971   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Wasowski 1980   22  0.6921  0.0026  0.0728  0.388  0.4422  0.41
Zak 1937   21  0.6959  0.0027  0.0927  0.3832  0.1935  0.27
Zak 1951   26  0.6857  0.0029  0.0929  0.3835  0.1836  0.26
Average   14  0.7222  0.0021  0.1021  0.4259  0.0441  0.13
Random 1   89  -0.0738  0.0089  0.0289  0.0210  0.4645  0.10
Random 2   91  -0.1667  0.0090  0.0190  0.0121  0.2560  0.05
Random 3   90  -0.1679  0.0091  0.0191  0.0149  0.0591  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).