Ohlsson 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   25  0.6684  0.0030  0.0629  0.2138  0.1141  0.15
Anderszewski 2003   21  0.6748  0.0029  0.0724  0.2519  0.3819  0.31
Ashkenazy 1981   5  0.795  0.043  0.174  0.595  0.543  0.56
Bacha 2000   33  0.6467  0.0041  0.0637  0.167  0.5120  0.29
Badura 1965   66  0.5368  0.0049  0.0846  0.0832  0.2442  0.14
Barbosa 1983   61  0.5735  0.0019  0.0628  0.2212  0.4318  0.31
Biret 1990   2  0.8312  0.012  0.242  0.622  0.602  0.61
Blet 2003   26  0.6585  0.0036  0.0439  0.1433  0.1740  0.15
Block 1995   82  0.3882  0.0089  0.0284  0.0282  0.0391  0.02
Blumental 1952   75  0.4486  0.0070  0.0379  0.0336  0.1258  0.06
Boshniakovich 1969   64  0.5629  0.0078  0.0377  0.0371  0.0381  0.03
Brailowsky 1960   50  0.5942  0.0065  0.0364  0.0375  0.0477  0.03
Bunin 1987   41  0.6136  0.0055  0.0556  0.0558  0.0474  0.04
Bunin 1987b   38  0.6159  0.0056  0.0648  0.0656  0.0461  0.05
Chiu 1999   63  0.5623  0.0115  0.0915  0.3911  0.4713  0.43
Cohen 1997   77  0.4040  0.0066  0.0374  0.0323  0.3050  0.09
Cortot 1951   45  0.6165  0.0060  0.0459  0.0440  0.1753  0.08
Csalog 1996   48  0.6026  0.0122  0.0625  0.257  0.5217  0.36
Czerny 1949   49  0.6078  0.0050  0.0650  0.0661  0.0463  0.05
Czerny 1990   17  0.6943  0.0032  0.0622  0.2850  0.0544  0.12
Duchoud 2007   1  0.861  0.391  0.381  0.662  0.601  0.63
Ezaki 2006   7  0.777  0.0212  0.146  0.5511  0.439  0.49
Falvay 1989   42  0.6134  0.0021  0.0718  0.3232  0.1729  0.23
Farrell 1958   28  0.6530  0.0062  0.0557  0.0537  0.1351  0.08
Ferenczy 1958   56  0.5961  0.0067  0.0371  0.0331  0.2749  0.09
Fliere 1977   8  0.7757  0.0017  0.0714  0.4235  0.1721  0.27
Fou 1978   69  0.5233  0.0035  0.0536  0.1750  0.0646  0.10
Francois 1956   44  0.6144  0.0042  0.0542  0.1354  0.0554  0.08
Friedman 1923   89  0.1890  0.0085  0.0285  0.0258  0.0687  0.03
Friedman 1923b   87  0.2083  0.0084  0.0286  0.0271  0.0582  0.03
Friedman 1930   84  0.3675  0.0073  0.0367  0.0359  0.0570  0.04
Garcia 2007   81  0.3870  0.0079  0.0382  0.0363  0.0480  0.03
Garcia 2007b   85  0.2880  0.0086  0.0289  0.0241  0.0975  0.04
Gierzod 1998   6  0.7816  0.019  0.1011  0.493  0.4512  0.47
Gornostaeva 1994   31  0.6417  0.0161  0.0462  0.0444  0.0959  0.06
Groot 1988   57  0.5852  0.0064  0.0376  0.0360  0.0484  0.03
Harasiewicz 1955   79  0.406  0.0453  0.0747  0.0773  0.0364  0.05
Hatto 1993   36  0.6377  0.0011  0.1513  0.466  0.5211  0.49
Hatto 1997   20  0.6839  0.0010  0.109  0.516  0.547  0.52
Horowitz 1949   68  0.5237  0.0074  0.0380  0.0365  0.0478  0.03
Indjic 1988   30  0.654  0.048  0.1510  0.505  0.565  0.53
Kapell 1951   10  0.7425  0.0120  0.0617  0.3224  0.4016  0.36
Kissin 1993   54  0.5920  0.0123  0.0626  0.2430  0.2526  0.24
Kushner 1989   18  0.6960  0.0026  0.0527  0.2339  0.1833  0.20
Luisada 1991   14  0.702  0.124  0.1312  0.483  0.5010  0.49
Lushtak 2004   16  0.7021  0.017  0.145  0.557  0.526  0.53
Malcuzynski 1961   13  0.7155  0.0052  0.0653  0.0676  0.0366  0.04
Magaloff 1978   22  0.679  0.0246  0.0555  0.0571  0.0365  0.04
Magin 1975   43  0.6114  0.0139  0.0538  0.1617  0.2732  0.21
Michalowski 1933   71  0.4971  0.0033  0.0741  0.1322  0.4030  0.23
Milkina 1970   23  0.6688  0.0040  0.0534  0.1840  0.1737  0.17
Mohovich 1999   34  0.6332  0.0051  0.0652  0.0676  0.0373  0.04
Moravec 1969   39  0.6138  0.0038  0.0530  0.2022  0.3522  0.26
Morozova 2008   60  0.5749  0.0048  0.0651  0.0651  0.0562  0.05
Neighaus 1950   12  0.7218  0.0131  0.0635  0.1743  0.1638  0.16
Niedzielski 1931   53  0.5966  0.0063  0.0365  0.039  0.3945  0.11
Ohlsson 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Osinska 1989   32  0.6410  0.0143  0.0544  0.1257  0.0455  0.07
Pachmann 1927   78  0.4050  0.0076  0.0368  0.0356  0.0568  0.04
Paderewski 1930   51  0.5927  0.0171  0.0366  0.0354  0.0479  0.03
Perlemuter 1992   73  0.4572  0.0069  0.0372  0.0376  0.0376  0.03
Pierdomenico 2008   52  0.5969  0.0045  0.0545  0.1132  0.2039  0.15
Poblocka 1999   4  0.8028  0.016  0.137  0.545  0.554  0.54
Rabcewiczowa 1932   37  0.6246  0.0057  0.0554  0.0537  0.1648  0.09
Rachmaninoff 1923   67  0.5341  0.0054  0.0649  0.0654  0.0460  0.05
Rangell 2001   15  0.7031  0.0034  0.0531  0.1916  0.3027  0.24
Richter 1976   72  0.458  0.0275  0.0370  0.0349  0.0567  0.04
Rosen 1989   24  0.6619  0.0144  0.0640  0.1434  0.2535  0.19
Rosenthal 1930   65  0.5453  0.0077  0.0375  0.0347  0.0571  0.04
Rosenthal 1931   80  0.3979  0.0087  0.0287  0.0279  0.0289  0.02
Rosenthal 1931b   83  0.3889  0.0088  0.0381  0.0360  0.0485  0.03
Rosenthal 1931c   58  0.5722  0.0172  0.0369  0.0355  0.0486  0.03
Rosenthal 1931d   74  0.4476  0.0081  0.0373  0.0370  0.0383  0.03
Rossi 2007   88  0.1962  0.0083  0.0288  0.0261  0.0388  0.02
Rubinstein 1939   76  0.4258  0.0080  0.0383  0.0332  0.2947  0.09
Rubinstein 1952   62  0.563  0.0814  0.1033  0.1826  0.3128  0.24
Rubinstein 1966   47  0.6063  0.0058  0.0460  0.0443  0.1357  0.07
Schilhawsky 1960   29  0.6573  0.0028  0.0621  0.2828  0.2523  0.26
Shebanova 2002   11  0.7211  0.0113  0.128  0.515  0.538  0.52
Smith 1975   19  0.6847  0.0018  0.0819  0.3143  0.1136  0.18
Sokolov 2002   9  0.7513  0.0116  0.0916  0.3917  0.4215  0.40
Sztompka 1959   55  0.5956  0.0068  0.0461  0.0465  0.0469  0.04
Tomsic 1995   27  0.6545  0.0047  0.0458  0.0440  0.1156  0.07
Uninsky 1932   70  0.5064  0.0059  0.0463  0.0439  0.1652  0.08
Uninsky 1971   46  0.6015  0.0125  0.0643  0.1333  0.2734  0.19
Wasowski 1980   35  0.6354  0.0027  0.0732  0.189  0.3524  0.25
Zak 1937   40  0.6181  0.0037  0.0523  0.2632  0.2325  0.24
Zak 1951   59  0.5751  0.0024  0.0720  0.2942  0.1631  0.22
Average   3  0.8324  0.015  0.133  0.6129  0.2714  0.41
Random 1   90  -0.0274  0.0091  0.0191  0.0142  0.1672  0.04
Random 2   91  -0.0891  0.0090  0.0190  0.0154  0.0390  0.02
Random 3   86  0.2687  0.0082  0.0378  0.033  0.5343  0.13

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).