Anderszewski 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   68  0.3454  0.0072  0.0356  0.0361  0.0480  0.03
Anderszewski 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ashkenazy 1981   5  0.5911  0.045  0.185  0.5617  0.447  0.50
Bacha 2000   61  0.3631  0.0071  0.0374  0.0332  0.2640  0.09
Badura 1965   62  0.3649  0.0067  0.0371  0.0350  0.0563  0.04
Barbosa 1983   78  0.2981  0.0060  0.0370  0.0373  0.0477  0.03
Biret 1990   44  0.4290  0.0045  0.0445  0.0449  0.0566  0.04
Blet 2003   35  0.4372  0.0040  0.0835  0.2060  0.0536  0.10
Block 1995   31  0.4544  0.0037  0.0732  0.2332  0.2029  0.21
Blumental 1952   59  0.3626  0.0022  0.0940  0.1926  0.2430  0.21
Boshniakovich 1969   53  0.3839  0.0070  0.0365  0.0359  0.0483  0.03
Brailowsky 1960   21  0.4825  0.0031  0.0741  0.1828  0.2926  0.23
Bunin 1987   28  0.4684  0.0032  0.0722  0.3238  0.1727  0.23
Bunin 1987b   26  0.4661  0.0027  0.0621  0.3237  0.1825  0.24
Chiu 1999   80  0.2782  0.0082  0.0283  0.0284  0.0387  0.02
Cohen 1997   74  0.3021  0.0150  0.0360  0.0332  0.2249  0.08
Cortot 1951   45  0.4136  0.0048  0.0358  0.0343  0.1058  0.05
Csalog 1996   86  0.1745  0.0083  0.0375  0.0345  0.0857  0.05
Czerny 1949   49  0.4063  0.0025  0.0634  0.2134  0.2428  0.22
Czerny 1990   30  0.4565  0.0039  0.0828  0.2445  0.0731  0.13
Duchoud 2007   11  0.5527  0.0012  0.1414  0.4926  0.3915  0.44
Ezaki 2006   18  0.4950  0.0030  0.0625  0.2849  0.0532  0.12
Falvay 1989   60  0.3673  0.0043  0.0443  0.1167  0.0452  0.07
Farrell 1958   47  0.4088  0.0064  0.0377  0.0348  0.0471  0.03
Ferenczy 1958   22  0.4810  0.0420  0.1020  0.3410  0.4817  0.40
Fliere 1977   39  0.4356  0.0062  0.0280  0.0275  0.0468  0.03
Fou 1978   63  0.3637  0.0057  0.0362  0.0361  0.0472  0.03
Francois 1956   58  0.3613  0.0233  0.0736  0.1966  0.0350  0.08
Friedman 1923   84  0.1885  0.0086  0.0289  0.0261  0.0585  0.03
Friedman 1923b   85  0.1783  0.0087  0.0372  0.0356  0.0564  0.04
Friedman 1930   76  0.3057  0.0077  0.0446  0.0462  0.0462  0.04
Garcia 2007   75  0.3035  0.0066  0.0373  0.0315  0.4434  0.11
Garcia 2007b   81  0.2534  0.0080  0.0378  0.0329  0.2647  0.09
Gierzod 1998   12  0.559  0.0415  0.173  0.586  0.456  0.51
Gornostaeva 1994   17  0.4916  0.0129  0.0627  0.2565  0.0438  0.10
Groot 1988   65  0.3569  0.0054  0.0368  0.0351  0.0567  0.04
Harasiewicz 1955   19  0.492  0.128  0.209  0.529  0.4210  0.47
Hatto 1993   7  0.593  0.082  0.216  0.5410  0.524  0.53
Hatto 1997   3  0.601  0.161  0.161  0.635  0.551  0.59
Horowitz 1949   70  0.3355  0.0075  0.0359  0.0377  0.0374  0.03
Indjic 1988   10  0.5648  0.003  0.167  0.538  0.505  0.51
Kapell 1951   9  0.574  0.079  0.164  0.579  0.523  0.54
Kissin 1993   67  0.3443  0.0061  0.0376  0.0369  0.0476  0.03
Kushner 1989   13  0.5232  0.0021  0.0923  0.3148  0.0533  0.12
Luisada 1991   4  0.6029  0.007  0.168  0.529  0.468  0.49
Lushtak 2004   38  0.4318  0.0118  0.1817  0.4731  0.2718  0.36
Malcuzynski 1961   24  0.4789  0.0036  0.0630  0.2461  0.0435  0.10
Magaloff 1978   27  0.4640  0.0038  0.0638  0.1955  0.0442  0.09
Magin 1975   1  0.625  0.074  0.2611  0.5113  0.4014  0.45
Michalowski 1933   29  0.4646  0.0014  0.1615  0.4811  0.4511  0.46
Milkina 1970   33  0.4433  0.0059  0.0357  0.0365  0.0473  0.03
Mohovich 1999   20  0.4823  0.0119  0.1019  0.3527  0.2721  0.31
Moravec 1969   55  0.3715  0.0144  0.0544  0.1048  0.0551  0.07
Morozova 2008   23  0.4752  0.0023  0.1133  0.2254  0.0445  0.09
Neighaus 1950   42  0.4277  0.0035  0.0631  0.2368  0.0439  0.10
Niedzielski 1931   52  0.3870  0.0053  0.0367  0.0320  0.2743  0.09
Ohlsson 1999   8  0.5828  0.0011  0.1016  0.4830  0.2319  0.33
Osinska 1989   64  0.3576  0.0076  0.0366  0.0365  0.0469  0.03
Pachmann 1927   87  0.1242  0.0081  0.0288  0.0264  0.0475  0.03
Paderewski 1930   43  0.4247  0.0058  0.0361  0.0337  0.1553  0.07
Perlemuter 1992   56  0.3764  0.0041  0.0639  0.1956  0.0441  0.09
Pierdomenico 2008   79  0.2758  0.0084  0.0286  0.0272  0.0388  0.02
Poblocka 1999   14  0.5120  0.0116  0.1110  0.5120  0.3216  0.40
Rabcewiczowa 1932   48  0.4059  0.0063  0.0281  0.0243  0.1356  0.05
Rachmaninoff 1923   69  0.3378  0.0069  0.0352  0.0369  0.0470  0.03
Rangell 2001   46  0.4017  0.0152  0.0448  0.0462  0.0465  0.04
Richter 1976   34  0.4471  0.0034  0.0626  0.2724  0.3122  0.29
Rosen 1989   51  0.3886  0.0073  0.0354  0.0368  0.0482  0.03
Rosenthal 1930   41  0.4338  0.0056  0.0364  0.0355  0.0481  0.03
Rosenthal 1931   25  0.466  0.0626  0.0629  0.2415  0.4620  0.33
Rosenthal 1931b   36  0.4314  0.0128  0.0637  0.1915  0.4523  0.29
Rosenthal 1931c   37  0.4341  0.0055  0.0351  0.0336  0.1854  0.07
Rosenthal 1931d   57  0.3779  0.0046  0.0447  0.0428  0.1946  0.09
Rossi 2007   83  0.1874  0.0085  0.0285  0.0263  0.0386  0.02
Rubinstein 1939   71  0.3224  0.0051  0.0355  0.0332  0.2448  0.08
Rubinstein 1952   82  0.2266  0.0078  0.0379  0.0374  0.0384  0.03
Rubinstein 1966   32  0.4419  0.0149  0.0363  0.0363  0.0561  0.04
Schilhawsky 1960   16  0.507  0.0510  0.1418  0.4612  0.499  0.47
Shebanova 2002   73  0.3151  0.0079  0.0353  0.0374  0.0479  0.03
Smith 1975   2  0.618  0.056  0.162  0.606  0.512  0.55
Sokolov 2002   6  0.5960  0.0013  0.2013  0.5014  0.4113  0.45
Sztompka 1959   50  0.4067  0.0047  0.0350  0.0354  0.0660  0.04
Tomsic 1995   40  0.4312  0.0324  0.0724  0.3027  0.2224  0.26
Uninsky 1932   66  0.3475  0.0065  0.0284  0.0252  0.0578  0.03
Uninsky 1971   15  0.5022  0.0117  0.1312  0.5120  0.4212  0.46
Wasowski 1980   54  0.3862  0.0068  0.0369  0.0343  0.1355  0.06
Zak 1937   77  0.3068  0.0074  0.0449  0.0465  0.0459  0.04
Zak 1951   72  0.3253  0.0042  0.0542  0.1246  0.0744  0.09
Random 1   90  -0.0680  0.0090  0.0190  0.0172  0.0390  0.02
Random 2   89  -0.0187  0.0089  0.0287  0.0269  0.0389  0.02
Random 3   88  0.1130  0.0088  0.0282  0.026  0.4737  0.10

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).