Osinska 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   77  0.2872  0.0078  0.0378  0.0376  0.0385  0.03
Anderszewski 2003   62  0.3448  0.0051  0.0559  0.0538  0.2950  0.12
Ashkenazy 1981   79  0.2662  0.0083  0.0385  0.0380  0.0488  0.03
Bacha 2000   82  0.2344  0.0080  0.0377  0.0373  0.0381  0.03
Badura 1965   75  0.2985  0.0067  0.0554  0.0535  0.1757  0.09
Barbosa 1983   56  0.3760  0.0050  0.0470  0.0455  0.0772  0.05
Biret 1990   5  0.553  0.083  0.385  0.742  0.864  0.80
Blet 2003   73  0.3081  0.0073  0.0567  0.0563  0.0478  0.04
Block 1995   31  0.4418  0.0029  0.1132  0.3024  0.4833  0.38
Blumental 1952   78  0.2689  0.0081  0.0474  0.0482  0.0387  0.03
Boshniakovich 1969   16  0.4763  0.0017  0.1418  0.5615  0.5720  0.56
Brailowsky 1960   58  0.3636  0.0069  0.0551  0.0542  0.1555  0.09
Bunin 1987   69  0.3253  0.0064  0.0565  0.0542  0.1463  0.08
Bunin 1987b   68  0.3275  0.0063  0.0472  0.0435  0.2554  0.10
Chiu 1999   42  0.4017  0.0042  0.0545  0.1127  0.2543  0.17
Cohen 1997   41  0.4065  0.0038  0.0839  0.2115  0.5838  0.35
Cortot 1951   44  0.3956  0.0037  0.0738  0.217  0.6537  0.37
Csalog 1996   8  0.529  0.018  0.177  0.692  0.726  0.70
Czerny 1949   14  0.4827  0.0015  0.1116  0.5810  0.7411  0.66
Czerny 1990   60  0.3532  0.0066  0.0646  0.0657  0.0668  0.06
Duchoud 2007   66  0.3345  0.0065  0.0649  0.0624  0.3446  0.14
Ezaki 2006   24  0.4610  0.0118  0.1425  0.4622  0.5225  0.49
Falvay 1989   12  0.4911  0.019  0.248  0.663  0.6313  0.64
Farrell 1958   54  0.3750  0.0033  0.0731  0.3111  0.5331  0.41
Ferenczy 1958   55  0.3726  0.0060  0.0647  0.0621  0.6342  0.19
Fliere 1977   9  0.5112  0.0112  0.1313  0.6219  0.4921  0.55
Fou 1978   47  0.3982  0.0057  0.0553  0.0546  0.0765  0.06
Francois 1956   34  0.4223  0.0040  0.0837  0.2310  0.7032  0.40
Friedman 1923   70  0.3228  0.0076  0.0561  0.0542  0.1264  0.08
Friedman 1923b   64  0.3342  0.0075  0.0557  0.0543  0.1658  0.09
Friedman 1930   63  0.3466  0.0068  0.0555  0.0550  0.0673  0.05
Garcia 2007   61  0.3467  0.0048  0.0560  0.0523  0.3847  0.14
Garcia 2007b   76  0.2822  0.0062  0.0562  0.0537  0.1659  0.09
Gierzod 1998   32  0.4476  0.0031  0.0829  0.3522  0.4036  0.37
Gornostaeva 1994   4  0.604  0.075  0.353  0.802  0.842  0.82
Groot 1988   59  0.3649  0.0056  0.0558  0.0548  0.0675  0.05
Harasiewicz 1955   2  0.632  0.162  0.332  0.842  0.821  0.83
Hatto 1993   35  0.4174  0.0044  0.0741  0.1751  0.0753  0.11
Hatto 1997   20  0.4737  0.0022  0.0824  0.4719  0.4727  0.47
Horowitz 1949   83  0.2379  0.0088  0.0380  0.0361  0.0482  0.03
Indjic 1988   37  0.4146  0.0043  0.0542  0.1767  0.0556  0.09
Kapell 1951   40  0.4054  0.0041  0.0743  0.1639  0.1744  0.16
Kissin 1993   72  0.3158  0.0070  0.0476  0.0464  0.0671  0.05
Kushner 1989   30  0.4415  0.0020  0.1519  0.5219  0.4726  0.49
Luisada 1991   50  0.3871  0.0061  0.0566  0.0553  0.0669  0.05
Lushtak 2004   29  0.4430  0.0021  0.0921  0.5011  0.6022  0.55
Malcuzynski 1961   57  0.3641  0.0039  0.0740  0.2038  0.2241  0.21
Magaloff 1978   7  0.5319  0.0010  0.1211  0.624  0.6912  0.65
Magin 1975   46  0.3916  0.0049  0.0568  0.0537  0.2848  0.12
Michalowski 1933   67  0.3252  0.0074  0.0473  0.0431  0.3152  0.11
Milkina 1970   25  0.457  0.027  0.2010  0.649  0.6910  0.66
Mohovich 1999   19  0.4759  0.0023  0.1120  0.519  0.6516  0.58
Moravec 1969   45  0.3977  0.0052  0.0569  0.0542  0.1460  0.08
Morozova 2008   52  0.3731  0.0034  0.0734  0.2928  0.4039  0.34
Neighaus 1950   28  0.4438  0.0030  0.0930  0.3318  0.4435  0.38
Niedzielski 1931   86  0.2229  0.0084  0.0287  0.0286  0.0390  0.02
Ohlsson 1999   17  0.475  0.0216  0.1517  0.564  0.6215  0.59
Osinska 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pachmann 1927   38  0.4121  0.0054  0.0471  0.0425  0.3949  0.12
Paderewski 1930   84  0.2255  0.0079  0.0383  0.0374  0.0383  0.03
Perlemuter 1992   33  0.4380  0.0036  0.0733  0.299  0.5930  0.41
Pierdomenico 2008   36  0.4147  0.0045  0.0644  0.1213  0.5440  0.25
Poblocka 1999   27  0.4435  0.0026  0.0827  0.4219  0.5128  0.46
Rabcewiczowa 1932   23  0.4668  0.0025  0.1322  0.503  0.7214  0.60
Rachmaninoff 1923   81  0.2584  0.0077  0.0552  0.0565  0.0476  0.04
Rangell 2001   43  0.4073  0.0032  0.0635  0.2613  0.5534  0.38
Richter 1976   39  0.4139  0.0058  0.0563  0.0571  0.0570  0.05
Rosen 1989   3  0.606  0.024  0.294  0.793  0.813  0.80
Rosenthal 1930   80  0.2586  0.0085  0.0288  0.0267  0.0486  0.03
Rosenthal 1931   88  0.2183  0.0086  0.0386  0.0369  0.0484  0.03
Rosenthal 1931b   87  0.2190  0.0087  0.0382  0.0358  0.0489  0.03
Rosenthal 1931c   74  0.3069  0.0071  0.0381  0.0359  0.0580  0.04
Rosenthal 1931d   85  0.2264  0.0082  0.0384  0.0352  0.0579  0.04
Rossi 2007   26  0.4513  0.0135  0.0736  0.251  0.8529  0.46
Rubinstein 1939   51  0.3870  0.0046  0.0648  0.0624  0.3845  0.15
Rubinstein 1952   6  0.5314  0.016  0.266  0.723  0.765  0.74
Rubinstein 1966   13  0.488  0.0114  0.1514  0.5917  0.5319  0.56
Schilhawsky 1960   48  0.3857  0.0059  0.0550  0.0528  0.3151  0.12
Shebanova 2002   49  0.3843  0.0047  0.0556  0.0571  0.0574  0.05
Smith 1975   22  0.4620  0.0028  0.1128  0.4112  0.6024  0.50
Sokolov 2002   21  0.4633  0.0027  0.1026  0.465  0.6918  0.56
Sztompka 1959   71  0.3278  0.0072  0.0379  0.0363  0.0577  0.04
Tomsic 1995   53  0.3734  0.0053  0.0564  0.0543  0.1461  0.08
Uninsky 1932   65  0.3340  0.0055  0.0475  0.0438  0.1562  0.08
Uninsky 1971   18  0.4761  0.0024  0.1023  0.4913  0.5323  0.51
Wasowski 1980   15  0.4825  0.0019  0.1415  0.5912  0.5617  0.57
Zak 1937   11  0.5051  0.0013  0.1612  0.624  0.719  0.66
Zak 1951   10  0.5024  0.0011  0.159  0.654  0.728  0.68
Average   1  0.661  0.511  0.501  0.9014  0.557  0.70
Random 1   90  -0.0388  0.0091  0.0191  0.0150  0.0491  0.02
Random 2   89  0.0191  0.0089  0.0289  0.0237  0.1866  0.06
Random 3   91  -0.0487  0.0090  0.0190  0.0118  0.3367  0.06

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).