Anderszewski 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   79  0.2887  0.0083  0.0287  0.0274  0.0390  0.02
Anderszewski 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ashkenazy 1981   66  0.3671  0.0069  0.0471  0.0440  0.1367  0.07
Bacha 2000   53  0.4319  0.0143  0.0842  0.155  0.5641  0.29
Badura 1965   38  0.4838  0.0041  0.0937  0.275  0.5534  0.39
Barbosa 1983   5  0.624  0.096  0.182  0.724  0.712  0.71
Biret 1990   33  0.5064  0.0045  0.0945  0.0939  0.1356  0.11
Blet 2003   62  0.3972  0.0067  0.0564  0.0545  0.0771  0.06
Block 1995   16  0.5617  0.0128  0.1226  0.455  0.6819  0.55
Blumental 1952   45  0.4557  0.0054  0.0658  0.0656  0.0674  0.06
Boshniakovich 1969   30  0.5113  0.0212  0.1412  0.578  0.5616  0.56
Brailowsky 1960   18  0.5512  0.0229  0.1132  0.3414  0.5628  0.44
Bunin 1987   31  0.5065  0.0036  0.1033  0.333  0.6227  0.45
Bunin 1987b   36  0.4950  0.0039  0.0739  0.235  0.6038  0.37
Chiu 1999   65  0.3746  0.0066  0.0565  0.0542  0.1364  0.08
Cohen 1997   71  0.3345  0.0068  0.0566  0.0533  0.1563  0.09
Cortot 1951   69  0.3427  0.0059  0.0660  0.0622  0.4448  0.16
Csalog 1996   49  0.4447  0.0055  0.0656  0.0645  0.0770  0.06
Czerny 1949   23  0.5422  0.0011  0.1413  0.5714  0.6710  0.62
Czerny 1990   4  0.621  0.211  0.211  0.747  0.761  0.75
Duchoud 2007   81  0.2529  0.0070  0.0472  0.0429  0.4352  0.13
Ezaki 2006   9  0.5911  0.0319  0.1014  0.5614  0.5417  0.55
Falvay 1989   1  0.635  0.069  0.183  0.688  0.664  0.67
Farrell 1958   47  0.4575  0.0040  0.0838  0.2619  0.4940  0.36
Ferenczy 1958   58  0.4158  0.0062  0.0468  0.0429  0.3954  0.12
Fliere 1977   11  0.5814  0.0115  0.1116  0.5217  0.5023  0.51
Fou 1978   24  0.5348  0.0031  0.1427  0.4417  0.4429  0.44
Francois 1956   84  0.2476  0.0082  0.0383  0.0360  0.0584  0.04
Friedman 1923   72  0.3352  0.0074  0.0375  0.0340  0.1375  0.06
Friedman 1923b   74  0.3353  0.0075  0.0376  0.0345  0.0777  0.05
Friedman 1930   76  0.3177  0.0073  0.0373  0.0350  0.0682  0.04
Garcia 2007   68  0.3473  0.0065  0.0653  0.0631  0.3351  0.14
Garcia 2007b   63  0.3930  0.0033  0.0643  0.1326  0.3844  0.22
Gierzod 1998   20  0.5437  0.0021  0.1217  0.5227  0.3531  0.43
Gornostaeva 1994   19  0.5436  0.0016  0.0919  0.507  0.6020  0.55
Groot 1988   56  0.4231  0.0049  0.0846  0.0831  0.2053  0.13
Harasiewicz 1955   7  0.619  0.0410  0.1910  0.6115  0.6012  0.60
Hatto 1993   22  0.5421  0.0018  0.1223  0.4815  0.5024  0.49
Hatto 1997   29  0.5239  0.0027  0.1428  0.4318  0.4530  0.44
Horowitz 1949   77  0.3178  0.0079  0.0378  0.0349  0.0681  0.04
Indjic 1988   28  0.5379  0.0026  0.1325  0.4520  0.4926  0.47
Kapell 1951   3  0.633  0.125  0.256  0.666  0.713  0.68
Kissin 1993   21  0.5480  0.0024  0.1224  0.479  0.6715  0.56
Kushner 1989   2  0.638  0.053  0.155  0.667  0.656  0.65
Luisada 1991   51  0.4359  0.0063  0.0561  0.0537  0.2057  0.10
Lushtak 2004   15  0.5620  0.0020  0.1118  0.518  0.5918  0.55
Malcuzynski 1961   13  0.572  0.152  0.189  0.635  0.647  0.63
Magaloff 1978   26  0.5349  0.0034  0.0636  0.2918  0.4737  0.37
Magin 1975   44  0.4625  0.0048  0.0563  0.0535  0.2058  0.10
Michalowski 1933   87  0.1488  0.0087  0.0284  0.0254  0.0487  0.03
Milkina 1970   10  0.596  0.054  0.218  0.639  0.618  0.62
Mohovich 1999   25  0.5360  0.0030  0.1130  0.3625  0.4235  0.39
Moravec 1969   17  0.5644  0.0023  0.1021  0.495  0.6514  0.56
Morozova 2008   41  0.4751  0.0025  0.1029  0.4214  0.5425  0.48
Neighaus 1950   73  0.3381  0.0072  0.0374  0.0334  0.1965  0.08
Niedzielski 1931   78  0.2961  0.0080  0.0467  0.0456  0.0580  0.04
Ohlsson 1999   55  0.4266  0.0042  0.0841  0.1727  0.3842  0.25
Osinska 1989   12  0.587  0.057  0.174  0.6815  0.625  0.65
Pachmann 1927   83  0.2482  0.0084  0.0381  0.0341  0.1369  0.06
Paderewski 1930   86  0.1669  0.0086  0.0379  0.0358  0.0486  0.03
Perlemuter 1992   82  0.2570  0.0085  0.0285  0.0268  0.0485  0.03
Pierdomenico 2008   85  0.2389  0.0081  0.0382  0.0345  0.0679  0.04
Poblocka 1999   8  0.6028  0.0013  0.1811  0.608  0.6311  0.61
Rabcewiczowa 1932   64  0.3841  0.0051  0.0848  0.0854  0.0568  0.06
Rachmaninoff 1923   43  0.4667  0.0046  0.0657  0.0627  0.3649  0.15
Rangell 2001   50  0.4362  0.0047  0.0659  0.0619  0.4646  0.17
Richter 1976   27  0.5342  0.0022  0.1020  0.509  0.6713  0.58
Rosen 1989   54  0.4255  0.0053  0.0562  0.0539  0.2355  0.11
Rosenthal 1930   70  0.3474  0.0078  0.0380  0.0341  0.1373  0.06
Rosenthal 1931   60  0.3943  0.0064  0.0655  0.0616  0.4547  0.16
Rosenthal 1931b   67  0.3583  0.0071  0.0470  0.0430  0.2561  0.10
Rosenthal 1931c   59  0.4032  0.0061  0.0469  0.0428  0.2762  0.10
Rosenthal 1931d   75  0.3284  0.0077  0.0286  0.0251  0.0688  0.03
Rossi 2007   80  0.2863  0.0076  0.0377  0.0351  0.0578  0.04
Rubinstein 1939   34  0.4934  0.0037  0.0835  0.3119  0.4636  0.38
Rubinstein 1952   14  0.5618  0.0117  0.1015  0.5618  0.5322  0.54
Rubinstein 1966   6  0.6110  0.038  0.257  0.6620  0.589  0.62
Schilhawsky 1960   61  0.3915  0.0160  0.0847  0.0844  0.1359  0.10
Shebanova 2002   57  0.4254  0.0056  0.0652  0.0645  0.0772  0.06
Smith 1975   40  0.4740  0.0052  0.0750  0.0732  0.2950  0.14
Sokolov 2002   52  0.4356  0.0050  0.0751  0.0715  0.5045  0.19
Sztompka 1959   39  0.4826  0.0014  0.1322  0.4915  0.5921  0.54
Tomsic 1995   37  0.4823  0.0044  0.0644  0.1219  0.4543  0.23
Uninsky 1932   48  0.4433  0.0038  0.0740  0.2211  0.6339  0.37
Uninsky 1971   35  0.4985  0.0035  0.0734  0.3221  0.5033  0.40
Wasowski 1980   32  0.5024  0.0032  0.0631  0.3619  0.4832  0.42
Zak 1937   42  0.4616  0.0157  0.0849  0.0845  0.0766  0.07
Zak 1951   46  0.4568  0.0058  0.0654  0.0664  0.0476  0.05
Random 1   88  0.0235  0.0088  0.0288  0.022  0.5460  0.10
Random 2   89  -0.0186  0.0090  0.0190  0.0166  0.0389  0.02
Random 3   90  -0.0890  0.0089  0.0189  0.0140  0.1383  0.04

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).