Osinska 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   63  0.4177  0.0071  0.0375  0.0331  0.2473  0.08
Anderszewski 2003   22  0.5810  0.0215  0.1515  0.624  0.6815  0.65
Ashkenazy 1981   72  0.3668  0.0080  0.0384  0.0367  0.0387  0.03
Bacha 2000   81  0.3286  0.0081  0.0382  0.0359  0.0482  0.03
Badura 1965   46  0.4943  0.0043  0.0843  0.163  0.6042  0.31
Barbosa 1983   23  0.5856  0.0026  0.1120  0.5513  0.6119  0.58
Biret 1990   29  0.5538  0.0025  0.1024  0.5211  0.5531  0.53
Blet 2003   64  0.4074  0.0065  0.0467  0.0433  0.1972  0.09
Block 1995   62  0.4139  0.0059  0.0660  0.0633  0.2664  0.12
Blumental 1952   41  0.5029  0.0046  0.0845  0.0830  0.4447  0.19
Boshniakovich 1969   26  0.5753  0.0020  0.0918  0.596  0.6118  0.60
Brailowsky 1960   58  0.4433  0.0047  0.0562  0.0538  0.2365  0.11
Bunin 1987   48  0.4848  0.0042  0.0842  0.166  0.5843  0.30
Bunin 1987b   45  0.4934  0.0039  0.0739  0.233  0.6238  0.38
Chiu 1999   50  0.4864  0.0055  0.0652  0.0613  0.4254  0.16
Cohen 1997   69  0.3759  0.0070  0.0376  0.0329  0.1875  0.07
Cortot 1951   78  0.3360  0.0069  0.0472  0.0424  0.4061  0.13
Csalog 1996   30  0.5569  0.0032  0.1127  0.494  0.6622  0.57
Czerny 1949   15  0.6075  0.0021  0.0917  0.5911  0.6917  0.64
Czerny 1990   8  0.669  0.028  0.156  0.704  0.785  0.74
Duchoud 2007   74  0.3558  0.0067  0.0470  0.0417  0.5158  0.14
Ezaki 2006   13  0.6411  0.0114  0.169  0.683  0.7010  0.69
Falvay 1989   3  0.693  0.172  0.281  0.811  0.811  0.81
Farrell 1958   51  0.4715  0.0129  0.0937  0.3511  0.6337  0.47
Ferenczy 1958   31  0.5532  0.0045  0.0656  0.067  0.6644  0.20
Fliere 1977   14  0.6230  0.0016  0.1012  0.643  0.6913  0.66
Fou 1978   17  0.5946  0.0036  0.1430  0.456  0.5633  0.50
Francois 1956   66  0.4061  0.0068  0.0473  0.0444  0.1377  0.07
Friedman 1923   80  0.3326  0.0077  0.0566  0.0535  0.2169  0.10
Friedman 1923b   73  0.3522  0.0076  0.0468  0.0431  0.2767  0.10
Friedman 1930   65  0.4070  0.0064  0.0565  0.0524  0.3660  0.13
Garcia 2007   67  0.3937  0.0057  0.0651  0.0611  0.5249  0.18
Garcia 2007b   42  0.496  0.0318  0.0932  0.447  0.6232  0.52
Gierzod 1998   1  0.732  0.223  0.312  0.811  0.812  0.81
Gornostaeva 1994   27  0.5712  0.0117  0.1033  0.4310  0.5735  0.50
Groot 1988   61  0.4241  0.0054  0.0654  0.0634  0.1768  0.10
Harasiewicz 1955   2  0.704  0.094  0.333  0.773  0.793  0.78
Hatto 1993   9  0.6631  0.009  0.2110  0.663  0.759  0.70
Hatto 1997   7  0.6724  0.007  0.188  0.683  0.777  0.72
Horowitz 1949   85  0.2387  0.0087  0.0377  0.0380  0.0385  0.03
Indjic 1988   4  0.678  0.026  0.207  0.693  0.794  0.74
Kapell 1951   21  0.5865  0.0024  0.1222  0.5512  0.6020  0.57
Kissin 1993   28  0.5666  0.0038  0.0938  0.2414  0.5639  0.37
Kushner 1989   5  0.671  0.261  0.254  0.742  0.736  0.73
Luisada 1991   54  0.4778  0.0061  0.0748  0.0724  0.3853  0.16
Lushtak 2004   16  0.605  0.0411  0.1314  0.633  0.7112  0.67
Malcuzynski 1961   32  0.5517  0.0019  0.1023  0.539  0.5925  0.56
Magaloff 1978   43  0.4979  0.0053  0.0749  0.0731  0.3355  0.15
Magin 1975   25  0.5842  0.0035  0.1134  0.433  0.6730  0.54
Michalowski 1933   84  0.2571  0.0084  0.0287  0.0229  0.2374  0.07
Milkina 1970   6  0.6714  0.015  0.205  0.711  0.698  0.70
Mohovich 1999   34  0.5451  0.0030  0.1125  0.5210  0.6026  0.56
Moravec 1969   39  0.5225  0.0044  0.0644  0.1229  0.3145  0.19
Morozova 2008   40  0.5240  0.0031  0.1035  0.426  0.6034  0.50
Neighaus 1950   76  0.3452  0.0079  0.0286  0.0265  0.0488  0.03
Niedzielski 1931   86  0.2318  0.0086  0.0383  0.0371  0.0484  0.03
Ohlsson 1999   37  0.5428  0.0028  0.1026  0.492  0.6721  0.57
Osinska 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pachmann 1927   70  0.3750  0.0073  0.0474  0.0432  0.3066  0.11
Paderewski 1930   87  0.2388  0.0085  0.0385  0.0351  0.0579  0.04
Perlemuter 1992   49  0.4867  0.0049  0.0657  0.062  0.5946  0.19
Pierdomenico 2008   44  0.4944  0.0048  0.0564  0.054  0.6348  0.18
Poblocka 1999   20  0.5819  0.0023  0.1021  0.5512  0.5527  0.55
Rabcewiczowa 1932   57  0.4463  0.0052  0.0746  0.0735  0.2062  0.12
Rachmaninoff 1923   77  0.3489  0.0074  0.0381  0.0363  0.0483  0.03
Rangell 2001   55  0.4745  0.0051  0.0650  0.0613  0.5350  0.18
Richter 1976   52  0.4757  0.0058  0.0655  0.0631  0.3059  0.13
Rosen 1989   19  0.5954  0.0037  0.1831  0.451  0.6828  0.55
Rosenthal 1930   82  0.3172  0.0083  0.0379  0.0377  0.0386  0.03
Rosenthal 1931   71  0.3723  0.0075  0.0378  0.0331  0.2771  0.09
Rosenthal 1931b   83  0.3190  0.0082  0.0380  0.0373  0.0489  0.03
Rosenthal 1931c   68  0.3755  0.0072  0.0469  0.0442  0.1078  0.06
Rosenthal 1931d   79  0.3349  0.0078  0.0471  0.0441  0.1376  0.07
Rossi 2007   60  0.4321  0.0062  0.0659  0.0612  0.4751  0.17
Rubinstein 1939   56  0.4680  0.0056  0.0658  0.0632  0.3257  0.14
Rubinstein 1952   18  0.5962  0.0022  0.1019  0.5713  0.5724  0.57
Rubinstein 1966   11  0.6416  0.0112  0.1311  0.6511  0.6616  0.65
Schilhawsky 1960   38  0.5347  0.0040  0.0740  0.217  0.5940  0.35
Shebanova 2002   35  0.5420  0.0027  0.1128  0.482  0.6723  0.57
Smith 1975   47  0.4813  0.0160  0.0747  0.0731  0.2956  0.14
Sokolov 2002   59  0.4381  0.0066  0.0561  0.0540  0.1670  0.09
Sztompka 1959   53  0.4773  0.0050  0.0653  0.0624  0.4752  0.17
Tomsic 1995   33  0.5427  0.0033  0.0936  0.376  0.6236  0.48
Uninsky 1932   75  0.3582  0.0063  0.0563  0.0533  0.2763  0.12
Uninsky 1971   36  0.5476  0.0041  0.0841  0.2013  0.5441  0.33
Wasowski 1980   24  0.5835  0.0034  0.0929  0.453  0.6429  0.54
Zak 1937   10  0.647  0.0310  0.1516  0.602  0.7314  0.66
Zak 1951   12  0.6436  0.0013  0.1613  0.632  0.7611  0.69
Random 1   89  -0.0283  0.0089  0.0189  0.0141  0.1580  0.04
Random 2   88  0.0284  0.0088  0.0188  0.0157  0.0490  0.02
Random 3   90  -0.0885  0.0090  0.0190  0.0133  0.1781  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).