Luisada 1991

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   11  0.5311  0.014  0.129  0.612  0.692  0.65
Anderszewski 2003   37  0.4363  0.0042  0.0538  0.2062  0.0545  0.10
Ashkenazy 1981   39  0.4384  0.0054  0.0474  0.0427  0.2746  0.10
Bacha 2000   79  0.2844  0.0068  0.0477  0.0467  0.0380  0.03
Badura 1965   71  0.3356  0.0072  0.0556  0.0565  0.0471  0.04
Barbosa 1983   10  0.5328  0.009  0.1416  0.5061  0.0630  0.17
Biret 1990   32  0.4415  0.0118  0.0919  0.4943  0.1125  0.23
Blet 2003   12  0.5117  0.0113  0.1511  0.582  0.623  0.60
Block 1995   59  0.3689  0.0052  0.0461  0.0460  0.0573  0.04
Blumental 1952   7  0.546  0.048  0.164  0.6520  0.554  0.60
Boshniakovich 1969   18  0.4810  0.0122  0.1920  0.4743  0.1124  0.23
Brailowsky 1960   2  0.582  0.062  0.222  0.739  0.661  0.69
Bunin 1987   38  0.4332  0.0031  0.0731  0.2839  0.1328  0.19
Bunin 1987b   49  0.3985  0.0045  0.0745  0.1446  0.0744  0.10
Chiu 1999   74  0.3271  0.0064  0.0554  0.0564  0.0556  0.05
Cohen 1997   60  0.3638  0.0051  0.0459  0.0423  0.2347  0.10
Cortot 1951   84  0.2130  0.0083  0.0378  0.0356  0.0576  0.04
Csalog 1996   62  0.3650  0.0046  0.0746  0.0765  0.0460  0.05
Czerny 1949   64  0.3590  0.0073  0.0380  0.0377  0.0384  0.03
Czerny 1990   54  0.3886  0.0062  0.0467  0.0469  0.0474  0.04
Duchoud 2007   88  0.1642  0.0085  0.0386  0.0385  0.0290  0.02
Ezaki 2006   16  0.5031  0.0024  0.0927  0.3754  0.0633  0.15
Falvay 1989   5  0.558  0.046  0.187  0.6140  0.3211  0.44
Farrell 1958   85  0.2170  0.0086  0.0288  0.0287  0.0288  0.02
Ferenczy 1958   28  0.465  0.0523  0.1024  0.3823  0.4912  0.43
Fliere 1977   9  0.549  0.0212  0.198  0.6139  0.2414  0.38
Fou 1978   19  0.4851  0.0030  0.0732  0.2659  0.0542  0.11
Francois 1956   75  0.3152  0.0080  0.0550  0.0569  0.0478  0.04
Friedman 1923   65  0.3560  0.0047  0.0647  0.0623  0.4132  0.16
Friedman 1923b   66  0.3535  0.0040  0.0536  0.2120  0.4519  0.31
Friedman 1930   67  0.3541  0.0032  0.0929  0.3118  0.4615  0.38
Garcia 2007   83  0.2191  0.0084  0.0476  0.0474  0.0470  0.04
Garcia 2007b   72  0.3357  0.0057  0.0555  0.0569  0.0479  0.04
Gierzod 1998   6  0.5519  0.0111  0.1610  0.6042  0.2017  0.35
Gornostaeva 1994   14  0.5026  0.0021  0.1222  0.4536  0.2518  0.34
Groot 1988   48  0.3924  0.0038  0.0537  0.2057  0.0548  0.10
Harasiewicz 1955   31  0.4465  0.0053  0.0471  0.0484  0.0386  0.03
Hatto 1993   26  0.4761  0.0017  0.1221  0.4645  0.1226  0.23
Hatto 1997   21  0.4887  0.0016  0.1017  0.4942  0.1222  0.24
Horowitz 1949   33  0.444  0.0610  0.1414  0.513  0.636  0.57
Indjic 1988   20  0.4827  0.0015  0.1518  0.4944  0.1520  0.27
Kapell 1951   52  0.3877  0.0067  0.0469  0.0475  0.0382  0.03
Kissin 1993   43  0.4236  0.0061  0.0552  0.0570  0.0466  0.04
Kushner 1989   24  0.4775  0.0026  0.0923  0.3968  0.0439  0.12
Luisada 1991   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lushtak 2004   50  0.3966  0.0056  0.0551  0.0570  0.0472  0.04
Malcuzynski 1961   73  0.3378  0.0077  0.0381  0.0385  0.0289  0.02
Magaloff 1978   34  0.4429  0.0039  0.0635  0.2255  0.0641  0.11
Magin 1975   17  0.4922  0.0129  0.0730  0.3053  0.0538  0.12
Michalowski 1933   80  0.2821  0.0181  0.0464  0.0419  0.4036  0.13
Milkina 1970   4  0.567  0.043  0.143  0.6939  0.2413  0.41
Mohovich 1999   3  0.5612  0.017  0.155  0.6530  0.379  0.49
Moravec 1969   27  0.4679  0.0033  0.0634  0.2456  0.0637  0.12
Morozova 2008   55  0.3733  0.0059  0.0466  0.0472  0.0468  0.04
Neighaus 1950   77  0.3082  0.0078  0.0379  0.0365  0.0485  0.03
Niedzielski 1931   63  0.3537  0.0050  0.0553  0.0519  0.3834  0.14
Ohlsson 1999   40  0.4213  0.0125  0.0926  0.3731  0.3316  0.35
Osinska 1989   25  0.4745  0.0027  0.1025  0.3849  0.0731  0.16
Pachmann 1927   82  0.2283  0.0087  0.0384  0.0377  0.0383  0.03
Paderewski 1930   86  0.1948  0.0070  0.0465  0.0442  0.1351  0.07
Perlemuter 1992   53  0.3867  0.0049  0.0460  0.0430  0.3040  0.11
Pierdomenico 2008   87  0.1880  0.0088  0.0287  0.0288  0.0287  0.02
Poblocka 1999   15  0.5014  0.0128  0.0928  0.3146  0.1129  0.18
Rabcewiczowa 1932   78  0.3046  0.0066  0.0472  0.0482  0.0381  0.03
Rachmaninoff 1923   41  0.4216  0.0137  0.0640  0.1936  0.2327  0.21
Rangell 2001   70  0.3368  0.0079  0.0475  0.0469  0.0575  0.04
Richter 1976   47  0.4069  0.0060  0.0462  0.0458  0.0465  0.04
Rosen 1989   22  0.4734  0.0020  0.1515  0.5021  0.4310  0.46
Rosenthal 1930   57  0.3758  0.0074  0.0382  0.0345  0.1061  0.05
Rosenthal 1931   68  0.3520  0.0175  0.0383  0.0346  0.0759  0.05
Rosenthal 1931b   76  0.3040  0.0076  0.0385  0.0347  0.0577  0.04
Rosenthal 1931c   42  0.4272  0.0041  0.0539  0.1928  0.3023  0.24
Rosenthal 1931d   51  0.3964  0.0063  0.0648  0.0630  0.3135  0.14
Rossi 2007   81  0.2776  0.0082  0.0468  0.0473  0.0463  0.04
Rubinstein 1939   56  0.3753  0.0069  0.0470  0.0469  0.0464  0.04
Rubinstein 1952   36  0.4325  0.0044  0.0643  0.1477  0.0355  0.06
Rubinstein 1966   46  0.4188  0.0055  0.0463  0.0475  0.0467  0.04
Schilhawsky 1960   29  0.4554  0.0036  0.0544  0.1460  0.0452  0.07
Shebanova 2002   45  0.4123  0.0135  0.0541  0.1863  0.0450  0.08
Smith 1975   13  0.5118  0.0114  0.1212  0.5516  0.518  0.53
Sokolov 2002   23  0.4762  0.0019  0.1413  0.539  0.567  0.54
Sztompka 1959   58  0.3655  0.0071  0.0558  0.0563  0.0558  0.05
Tomsic 1995   69  0.3473  0.0048  0.0549  0.0546  0.0853  0.06
Uninsky 1932   61  0.3647  0.0065  0.0473  0.0452  0.0569  0.04
Uninsky 1971   30  0.4549  0.0034  0.0633  0.2557  0.0543  0.11
Wasowski 1980   8  0.543  0.065  0.116  0.6210  0.555  0.58
Zak 1937   44  0.4239  0.0058  0.0557  0.0555  0.0557  0.05
Zak 1951   35  0.4374  0.0043  0.0642  0.1851  0.0549  0.09
Average   1  0.651  0.481  0.471  0.8051  0.0721  0.24
Random 1   90  0.0081  0.0090  0.0290  0.0244  0.1262  0.05
Random 2   89  0.0359  0.0089  0.0289  0.0233  0.1954  0.06
Random 3   91  -0.1543  0.0091  0.0191  0.0181  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).