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  0.1581  0.0073  0.0467  0.0478  0.0382  0.03
Anderszewski 2003   82  0.1052  0.0081  0.0380  0.0359  0.0568  0.04
Ashkenazy 1981   75  0.1669  0.0077  0.0462  0.0474  0.0572  0.04
Bacha 2000   78  0.1423  0.0062  0.0372  0.0369  0.0474  0.03
Badura 1965   83  0.0982  0.0083  0.0285  0.0274  0.0387  0.02
Barbosa 1983   72  0.1683  0.0074  0.0464  0.0477  0.0467  0.04
Biret 1990   5  0.551  0.361  0.365  0.801  0.882  0.84
Blet 2003   62  0.2066  0.0068  0.0377  0.0368  0.0481  0.03
Block 1995   11  0.4713  0.0114  0.1414  0.6127  0.4518  0.52
Blumental 1952   88  0.0284  0.0089  0.0189  0.0186  0.0291  0.01
Boshniakovich 1969   25  0.3838  0.0028  0.1222  0.5329  0.3725  0.44
Brailowsky 1960   44  0.2954  0.0039  0.0641  0.1443  0.1637  0.15
Bunin 1987   74  0.1674  0.0064  0.0371  0.0368  0.0484  0.03
Bunin 1987b   73  0.1661  0.0065  0.0560  0.0567  0.0464  0.04
Chiu 1999   34  0.3275  0.0051  0.0748  0.0764  0.0548  0.06
Cohen 1997   18  0.436  0.0212  0.1219  0.5614  0.5816  0.57
Cortot 1951   14  0.4511  0.0113  0.1016  0.597  0.6813  0.63
Csalog 1996   9  0.503  0.148  0.1811  0.686  0.6512  0.66
Czerny 1949   29  0.3525  0.0021  0.0825  0.5015  0.7215  0.60
Czerny 1990   87  0.0376  0.0088  0.0288  0.0286  0.0289  0.02
Duchoud 2007   37  0.3122  0.0036  0.0937  0.2941  0.1933  0.23
Ezaki 2006   47  0.2836  0.0020  0.0836  0.2939  0.2332  0.26
Falvay 1989   41  0.2924  0.0034  0.1333  0.4027  0.3330  0.36
Farrell 1958   49  0.2785  0.0041  0.0738  0.2028  0.3631  0.27
Ferenczy 1958   65  0.1931  0.0059  0.0463  0.0438  0.4540  0.13
Fliere 1977   23  0.397  0.0126  0.0924  0.5248  0.0934  0.22
Fou 1978   68  0.1855  0.0071  0.0378  0.0372  0.0375  0.03
Francois 1956   15  0.4528  0.0016  0.1813  0.677  0.7310  0.70
Friedman 1923   38  0.3162  0.0049  0.0655  0.0655  0.0847  0.07
Friedman 1923b   35  0.3144  0.0044  0.0544  0.1152  0.0944  0.10
Friedman 1930   48  0.2870  0.0052  0.0847  0.0862  0.0553  0.06
Garcia 2007   42  0.2963  0.0038  0.0639  0.1750  0.0643  0.10
Garcia 2007b   85  0.0756  0.0087  0.0287  0.0281  0.0390  0.02
Gierzod 1998   76  0.1564  0.0072  0.0465  0.0466  0.0571  0.04
Gornostaeva 1994   1  0.622  0.212  0.341  0.851  0.881  0.86
Groot 1988   40  0.3067  0.0046  0.0557  0.0551  0.0756  0.06
Harasiewicz 1955   4  0.565  0.044  0.233  0.804  0.698  0.74
Hatto 1993   69  0.1777  0.0076  0.0466  0.0481  0.0385  0.03
Hatto 1997   50  0.2640  0.0048  0.0652  0.0661  0.0460  0.05
Horowitz 1949   55  0.2239  0.0066  0.0461  0.0470  0.0465  0.04
Indjic 1988   79  0.1450  0.0080  0.0381  0.0373  0.0566  0.04
Kapell 1951   58  0.2259  0.0058  0.0556  0.0576  0.0463  0.04
Kissin 1993   84  0.0786  0.0084  0.0284  0.0272  0.0579  0.03
Kushner 1989   61  0.2146  0.0061  0.0468  0.0473  0.0462  0.04
Luisada 1991   45  0.2957  0.0047  0.0654  0.0663  0.0557  0.05
Lushtak 2004   46  0.2842  0.0042  0.0642  0.1336  0.1838  0.15
Malcuzynski 1961   67  0.1860  0.0067  0.0373  0.0378  0.0376  0.03
Magaloff 1978   3  0.5627  0.006  0.216  0.779  0.727  0.74
Magin 1975   64  0.2041  0.0063  0.0374  0.0355  0.0758  0.05
Michalowski 1933   20  0.4014  0.0125  0.1127  0.4734  0.3528  0.41
Milkina 1970   53  0.2310  0.0119  0.0931  0.4220  0.4822  0.45
Mohovich 1999   22  0.4034  0.0023  0.0926  0.4924  0.3626  0.42
Moravec 1969   51  0.2665  0.0043  0.0643  0.1176  0.0445  0.07
Morozova 2008   54  0.2353  0.0053  0.0846  0.0862  0.0552  0.06
Neighaus 1950   7  0.5416  0.015  0.218  0.764  0.6211  0.69
Niedzielski 1931   59  0.228  0.0154  0.0749  0.0760  0.0650  0.06
Ohlsson 1999   19  0.4112  0.0118  0.1618  0.5826  0.3424  0.44
Osinska 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pachmann 1927   16  0.4526  0.0024  0.1020  0.5530  0.4719  0.51
Paderewski 1930   56  0.2243  0.0055  0.0650  0.0653  0.0651  0.06
Perlemuter 1992   24  0.3832  0.0027  0.1029  0.4537  0.3827  0.41
Pierdomenico 2008   31  0.3471  0.0045  0.0545  0.1059  0.0546  0.07
Poblocka 1999   39  0.3135  0.0040  0.0740  0.1646  0.0742  0.11
Rabcewiczowa 1932   10  0.4829  0.0017  0.2210  0.724  0.796  0.75
Rachmaninoff 1923   70  0.1687  0.0057  0.0559  0.0547  0.0749  0.06
Rangell 2001   32  0.3230  0.0032  0.0930  0.4428  0.3129  0.37
Richter 1976   30  0.3447  0.0050  0.0653  0.0664  0.0559  0.05
Rosen 1989   2  0.614  0.093  0.444  0.805  0.743  0.77
Rosenthal 1930   66  0.1972  0.0070  0.0379  0.0369  0.0483  0.03
Rosenthal 1931   86  0.0588  0.0085  0.0383  0.0366  0.0480  0.03
Rosenthal 1931b   81  0.1189  0.0079  0.0382  0.0361  0.0486  0.03
Rosenthal 1931c   57  0.2278  0.0056  0.0651  0.0650  0.0561  0.05
Rosenthal 1931d   80  0.1268  0.0078  0.0375  0.0351  0.0573  0.04
Rossi 2007   12  0.4718  0.0015  0.1512  0.671  0.874  0.76
Rubinstein 1939   43  0.2958  0.0037  0.1034  0.3236  0.1436  0.21
Rubinstein 1952   13  0.4717  0.019  0.197  0.762  0.765  0.76
Rubinstein 1966   33  0.3215  0.0133  0.1132  0.4063  0.0539  0.14
Schilhawsky 1960   52  0.2337  0.0069  0.0470  0.0459  0.0569  0.04
Shebanova 2002   60  0.2148  0.0075  0.0469  0.0475  0.0470  0.04
Smith 1975   17  0.4419  0.0011  0.1715  0.6111  0.6214  0.61
Sokolov 2002   8  0.5021  0.0010  0.249  0.744  0.739  0.73
Sztompka 1959   71  0.1679  0.0082  0.0376  0.0383  0.0378  0.03
Tomsic 1995   63  0.2090  0.0060  0.0558  0.0586  0.0277  0.03
Uninsky 1932   36  0.3120  0.0035  0.1235  0.3162  0.0541  0.12
Uninsky 1971   21  0.4051  0.0022  0.1117  0.5824  0.3523  0.45
Wasowski 1980   26  0.3833  0.0030  0.1121  0.5433  0.4320  0.48
Zak 1937   28  0.3691  0.0031  0.1228  0.4519  0.4721  0.46
Zak 1951   27  0.3745  0.0029  0.1123  0.5215  0.5617  0.54
Average   6  0.559  0.017  0.242  0.8250  0.0635  0.22
Random 1   91  -0.0480  0.0090  0.0190  0.0157  0.0488  0.02
Random 2   89  0.0073  0.0086  0.0286  0.0237  0.1754  0.06
Random 3   90  -0.0149  0.0091  0.0191  0.0115  0.4155  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).