Osinska 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   22  0.5760  0.0036  0.0530  0.2141  0.1134  0.15
Anderszewski 2003   75  0.3552  0.0074  0.0466  0.0467  0.0383  0.03
Ashkenazy 1981   56  0.4583  0.0055  0.0561  0.0566  0.0475  0.04
Bacha 2000   71  0.3784  0.0066  0.0476  0.0445  0.1250  0.07
Badura 1965   66  0.4272  0.0060  0.0472  0.0445  0.0953  0.06
Barbosa 1983   67  0.4161  0.0059  0.0475  0.0446  0.0571  0.04
Biret 1990   4  0.691  0.301  0.304  0.771  0.781  0.77
Blet 2003   55  0.4673  0.0063  0.0478  0.0447  0.0661  0.05
Block 1995   26  0.5618  0.0124  0.0627  0.2220  0.3423  0.27
Blumental 1952   74  0.3685  0.0054  0.0650  0.0644  0.1048  0.08
Boshniakovich 1969   17  0.5829  0.0025  0.0722  0.2823  0.4314  0.35
Brailowsky 1960   49  0.4869  0.0065  0.0467  0.0473  0.0466  0.04
Bunin 1987   69  0.3959  0.0079  0.0384  0.0377  0.0386  0.03
Bunin 1987b   68  0.3956  0.0080  0.0560  0.0581  0.0369  0.04
Chiu 1999   63  0.4346  0.0056  0.0557  0.0554  0.0555  0.05
Cohen 1997   61  0.439  0.0233  0.0642  0.129  0.5026  0.24
Cortot 1951   11  0.618  0.0210  0.1811  0.485  0.588  0.53
Csalog 1996   34  0.5328  0.0035  0.0635  0.1611  0.5318  0.29
Czerny 1949   5  0.6624  0.007  0.165  0.628  0.674  0.64
Czerny 1990   29  0.5574  0.0042  0.0440  0.1253  0.0549  0.08
Duchoud 2007   46  0.4853  0.0045  0.0738  0.1369  0.0452  0.07
Ezaki 2006   19  0.5819  0.0019  0.1016  0.3947  0.0731  0.17
Falvay 1989   23  0.5621  0.0021  0.0717  0.3628  0.2219  0.28
Farrell 1958   41  0.4941  0.0028  0.0734  0.1710  0.4620  0.28
Ferenczy 1958   50  0.4714  0.0130  0.0644  0.1128  0.2733  0.17
Fliere 1977   10  0.6126  0.0022  0.0618  0.3454  0.0635  0.14
Fou 1978   53  0.4664  0.0040  0.0539  0.1253  0.0644  0.08
Francois 1956   9  0.6315  0.018  0.187  0.599  0.556  0.57
Friedman 1923   87  0.1557  0.0084  0.0386  0.0373  0.0489  0.03
Friedman 1923b   86  0.1648  0.0083  0.0385  0.0360  0.0576  0.04
Friedman 1930   80  0.2949  0.0071  0.0383  0.0368  0.0484  0.03
Garcia 2007   83  0.2470  0.0082  0.0382  0.0379  0.0385  0.03
Garcia 2007b   88  0.1154  0.0088  0.0289  0.0287  0.0290  0.02
Gierzod 1998   43  0.4958  0.0052  0.0647  0.0654  0.0563  0.05
Gornostaeva 1994   2  0.722  0.164  0.273  0.783  0.703  0.74
Groot 1988   25  0.5665  0.0048  0.0648  0.0656  0.0464  0.05
Harasiewicz 1955   39  0.5012  0.0216  0.0820  0.3336  0.1924  0.25
Hatto 1993   84  0.2175  0.0078  0.0473  0.0481  0.0387  0.03
Hatto 1997   79  0.2938  0.0050  0.0559  0.0573  0.0372  0.04
Horowitz 1949   62  0.4331  0.0069  0.0649  0.0669  0.0458  0.05
Indjic 1988   85  0.2066  0.0077  0.0480  0.0476  0.0381  0.03
Kapell 1951   28  0.5686  0.0044  0.0637  0.1445  0.1137  0.12
Kissin 1993   33  0.5376  0.0047  0.0555  0.0554  0.0560  0.05
Kushner 1989   20  0.5743  0.0037  0.0631  0.2136  0.1829  0.19
Luisada 1991   48  0.4835  0.0029  0.0626  0.2360  0.0539  0.11
Lushtak 2004   51  0.4739  0.0031  0.0636  0.1548  0.0543  0.09
Malcuzynski 1961   15  0.5855  0.0023  0.0724  0.2553  0.0540  0.11
Magaloff 1978   7  0.6411  0.0213  0.109  0.5235  0.1817  0.31
Magin 1975   73  0.3736  0.0076  0.0563  0.0568  0.0368  0.04
Michalowski 1933   60  0.4323  0.0046  0.0746  0.0744  0.1441  0.10
Milkina 1970   31  0.557  0.0311  0.1013  0.4713  0.4311  0.45
Mohovich 1999   16  0.5832  0.0027  0.0825  0.2429  0.2525  0.24
Moravec 1969   18  0.5820  0.0020  0.0721  0.3014  0.4213  0.35
Morozova 2008   44  0.4987  0.0038  0.0533  0.1744  0.0838  0.12
Neighaus 1950   13  0.6016  0.016  0.188  0.5626  0.3710  0.46
Niedzielski 1931   72  0.3762  0.0085  0.0387  0.0360  0.0479  0.03
Ohlsson 1999   24  0.5642  0.0034  0.0623  0.2741  0.1230  0.18
Osinska 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pachmann 1927   70  0.3844  0.0068  0.0562  0.0561  0.0470  0.04
Paderewski 1930   21  0.5737  0.0018  0.0919  0.3421  0.3415  0.34
Perlemuter 1992   52  0.4727  0.0061  0.0464  0.0459  0.0465  0.04
Pierdomenico 2008   37  0.5167  0.0057  0.0558  0.0540  0.1842  0.09
Poblocka 1999   12  0.6050  0.0017  0.0815  0.4131  0.2316  0.31
Rabcewiczowa 1932   6  0.6513  0.019  0.1610  0.503  0.725  0.60
Rachmaninoff 1923   76  0.3377  0.0073  0.0474  0.0462  0.0467  0.04
Rangell 2001   35  0.5317  0.0126  0.0629  0.2235  0.2027  0.21
Richter 1976   58  0.4430  0.0070  0.0470  0.0470  0.0380  0.03
Rosen 1989   3  0.703  0.142  0.302  0.784  0.722  0.75
Rosenthal 1930   64  0.4288  0.0072  0.0479  0.0469  0.0474  0.04
Rosenthal 1931   82  0.2589  0.0087  0.0477  0.0484  0.0282  0.03
Rosenthal 1931b   81  0.2590  0.0086  0.0381  0.0374  0.0388  0.03
Rosenthal 1931c   57  0.4578  0.0064  0.0469  0.0457  0.0478  0.04
Rosenthal 1931d   77  0.3279  0.0081  0.0471  0.0446  0.0577  0.04
Rossi 2007   54  0.4622  0.0043  0.0441  0.122  0.6122  0.27
Rubinstein 1939   78  0.3068  0.0075  0.0465  0.0422  0.3636  0.12
Rubinstein 1952   14  0.5810  0.0212  0.0914  0.4311  0.519  0.47
Rubinstein 1966   32  0.5540  0.0014  0.0912  0.4715  0.4412  0.45
Schilhawsky 1960   59  0.4447  0.0062  0.0653  0.0659  0.0562  0.05
Shebanova 2002   36  0.5263  0.0049  0.0652  0.0647  0.0851  0.07
Smith 1975   8  0.646  0.055  0.256  0.6010  0.497  0.54
Sokolov 2002   27  0.565  0.0515  0.0928  0.2244  0.1332  0.17
Sztompka 1959   40  0.5091  0.0058  0.0651  0.0665  0.0459  0.05
Tomsic 1995   42  0.4980  0.0053  0.0556  0.0549  0.0557  0.05
Uninsky 1932   65  0.4233  0.0067  0.0468  0.0474  0.0473  0.04
Uninsky 1971   38  0.5034  0.0032  0.0645  0.1052  0.0646  0.08
Wasowski 1980   30  0.5525  0.0039  0.0732  0.2016  0.3721  0.27
Zak 1937   47  0.4881  0.0051  0.0654  0.0653  0.0556  0.05
Zak 1951   45  0.4945  0.0041  0.0543  0.1250  0.0645  0.08
Average   1  0.724  0.063  0.201  0.8051  0.0528  0.20
Random 1   91  -0.1071  0.0091  0.0191  0.0187  0.0291  0.01
Random 2   90  0.0182  0.0089  0.0288  0.0218  0.3347  0.08
Random 3   89  0.0151  0.0090  0.0290  0.0236  0.1954  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).