Osinska 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   38  0.6281  0.0045  0.0742  0.1434  0.2751  0.19
Anderszewski 2003   7  0.724  0.029  0.176  0.662  0.716  0.68
Ashkenazy 1981   68  0.5389  0.0071  0.0467  0.0459  0.0587  0.04
Bacha 2000   72  0.5082  0.0074  0.0657  0.0631  0.2264  0.11
Badura 1965   65  0.5467  0.0066  0.0472  0.0439  0.2470  0.10
Barbosa 1983   58  0.5556  0.0041  0.0644  0.1412  0.5740  0.28
Biret 1990   17  0.688  0.018  0.2313  0.603  0.6513  0.62
Blet 2003   67  0.5373  0.0065  0.0468  0.0422  0.3268  0.11
Block 1995   49  0.5857  0.0050  0.0660  0.0611  0.5254  0.18
Blumental 1952   46  0.5821  0.0033  0.0733  0.2622  0.2943  0.27
Boshniakovich 1969   24  0.6634  0.0030  0.1229  0.4322  0.4830  0.45
Brailowsky 1960   61  0.5529  0.0069  0.0476  0.0430  0.3662  0.12
Bunin 1987   86  0.4262  0.0081  0.0385  0.0346  0.0688  0.04
Bunin 1987b   87  0.4233  0.0080  0.0381  0.0353  0.0582  0.04
Chiu 1999   63  0.5447  0.0070  0.0474  0.0444  0.1175  0.07
Cohen 1997   88  0.4074  0.0077  0.0378  0.0331  0.2274  0.08
Cortot 1951   70  0.5138  0.0073  0.0659  0.0616  0.5056  0.17
Csalog 1996   62  0.5468  0.0056  0.0753  0.079  0.5149  0.19
Czerny 1949   16  0.6950  0.0027  0.1627  0.4910  0.5825  0.53
Czerny 1990   4  0.743  0.036  0.197  0.656  0.735  0.69
Duchoud 2007   85  0.4275  0.0076  0.0382  0.0352  0.0585  0.04
Ezaki 2006   9  0.7110  0.0116  0.0926  0.505  0.7116  0.60
Falvay 1989   23  0.6722  0.0034  0.0732  0.335  0.6031  0.44
Farrell 1958   34  0.6214  0.0110  0.1615  0.583  0.689  0.63
Ferenczy 1958   40  0.6127  0.0059  0.0848  0.089  0.5546  0.21
Fliere 1977   5  0.7435  0.004  0.164  0.733  0.607  0.66
Fou 1978   19  0.6842  0.0026  0.1924  0.506  0.6024  0.55
Francois 1956   53  0.5839  0.0060  0.0946  0.0915  0.5245  0.22
Friedman 1923   64  0.5476  0.0064  0.0564  0.0533  0.3361  0.13
Friedman 1923b   59  0.5577  0.0063  0.0562  0.0531  0.3958  0.14
Friedman 1930   51  0.5858  0.0062  0.0471  0.0428  0.4260  0.13
Garcia 2007   52  0.5824  0.0043  0.0743  0.147  0.5841  0.28
Garcia 2007b   33  0.635  0.0214  0.1020  0.514  0.6123  0.56
Gierzod 1998   2  0.782  0.142  0.312  0.804  0.751  0.77
Gornostaeva 1994   25  0.6615  0.0132  0.0737  0.2312  0.5634  0.36
Groot 1988   56  0.5651  0.0037  0.0635  0.2410  0.4736  0.34
Harasiewicz 1955   6  0.746  0.027  0.205  0.712  0.764  0.73
Hatto 1993   21  0.6731  0.0021  0.1411  0.615  0.5820  0.59
Hatto 1997   15  0.6983  0.0020  0.1210  0.635  0.5915  0.61
Horowitz 1949   76  0.4866  0.0078  0.0380  0.0349  0.0881  0.05
Indjic 1988   14  0.6912  0.0118  0.119  0.645  0.5914  0.61
Kapell 1951   27  0.6669  0.0023  0.1022  0.516  0.4928  0.50
Kissin 1993   22  0.6752  0.0028  0.1728  0.4719  0.5527  0.51
Kushner 1989   8  0.717  0.015  0.148  0.643  0.698  0.66
Luisada 1991   36  0.6284  0.0044  0.0640  0.1618  0.4044  0.25
Lushtak 2004   29  0.659  0.0122  0.1025  0.505  0.6622  0.57
Malcuzynski 1961   54  0.5826  0.0051  0.0658  0.0615  0.4655  0.17
Magaloff 1978   41  0.6063  0.0049  0.0750  0.0710  0.4653  0.18
Magin 1975   37  0.6278  0.0035  0.0639  0.2129  0.3442  0.27
Michalowski 1933   82  0.4559  0.0082  0.0473  0.0458  0.0584  0.04
Milkina 1970   3  0.7530  0.003  0.303  0.762  0.753  0.75
Mohovich 1999   28  0.6548  0.0024  0.1321  0.514  0.6819  0.59
Moravec 1969   66  0.5443  0.0067  0.0383  0.0323  0.3865  0.11
Morozova 2008   48  0.5832  0.0046  0.0847  0.0814  0.4550  0.19
Neighaus 1950   43  0.6040  0.0057  0.0755  0.0729  0.2959  0.14
Niedzielski 1931   73  0.5028  0.0068  0.0379  0.0345  0.0980  0.05
Ohlsson 1999   35  0.6225  0.0031  0.1031  0.3919  0.4632  0.42
Osinska 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pachmann 1927   75  0.4836  0.0088  0.0470  0.0443  0.1573  0.08
Paderewski 1930   81  0.4590  0.0075  0.0565  0.0533  0.2567  0.11
Perlemuter 1992   32  0.6379  0.0040  0.0634  0.253  0.6233  0.39
Pierdomenico 2008   57  0.5560  0.0039  0.0545  0.134  0.6039  0.28
Poblocka 1999   31  0.6323  0.0029  0.1130  0.4210  0.5529  0.48
Rabcewiczowa 1932   60  0.5570  0.0055  0.0749  0.0739  0.1766  0.11
Rachmaninoff 1923   45  0.5946  0.0048  0.0561  0.0538  0.1969  0.10
Rangell 2001   71  0.5153  0.0058  0.0751  0.078  0.5452  0.19
Richter 1976   77  0.4871  0.0079  0.0377  0.0351  0.0683  0.04
Rosen 1989   10  0.7044  0.0017  0.1117  0.576  0.6318  0.60
Rosenthal 1930   80  0.4545  0.0087  0.0386  0.0369  0.0389  0.03
Rosenthal 1931   78  0.4519  0.0083  0.0384  0.0333  0.2571  0.09
Rosenthal 1931b   83  0.4485  0.0085  0.0387  0.0339  0.1876  0.07
Rosenthal 1931c   79  0.4564  0.0084  0.0475  0.0442  0.1477  0.07
Rosenthal 1931d   84  0.4386  0.0086  0.0288  0.0238  0.2178  0.06
Rossi 2007   39  0.6111  0.0142  0.0541  0.141  0.6738  0.31
Rubinstein 1939   44  0.5987  0.0052  0.0752  0.077  0.5047  0.19
Rubinstein 1952   55  0.5754  0.0038  0.0636  0.2313  0.5535  0.36
Rubinstein 1966   13  0.6913  0.0112  0.1114  0.594  0.6811  0.63
Schilhawsky 1960   42  0.6061  0.0047  0.0563  0.0533  0.3063  0.12
Shebanova 2002   20  0.6716  0.0111  0.1112  0.6112  0.5421  0.57
Smith 1975   30  0.6417  0.0036  0.0738  0.2210  0.4737  0.32
Sokolov 2002   74  0.4991  0.0072  0.0566  0.0556  0.0579  0.05
Sztompka 1959   26  0.6655  0.0025  0.1423  0.5121  0.5226  0.51
Tomsic 1995   50  0.5837  0.0053  0.0656  0.068  0.6048  0.19
Uninsky 1932   69  0.5265  0.0061  0.0469  0.0443  0.1972  0.09
Uninsky 1971   47  0.5849  0.0054  0.0754  0.0731  0.3257  0.15
Wasowski 1980   12  0.6920  0.0019  0.0919  0.532  0.6817  0.60
Zak 1937   11  0.7018  0.0013  0.1118  0.573  0.7010  0.63
Zak 1951   18  0.6841  0.0015  0.0916  0.575  0.6712  0.62
Average   1  0.831  0.641  0.631  0.885  0.652  0.76
Random 1   89  -0.0788  0.0089  0.0189  0.0132  0.1786  0.04
Random 2   90  -0.0872  0.0091  0.0191  0.0173  0.0390  0.02
Random 3   91  -0.1180  0.0090  0.0190  0.0150  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).