Tomsic 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.6418  0.0126  0.0827  0.3178  0.0337  0.10
Anderszewski 2003   55  0.4937  0.0035  0.0637  0.1953  0.0440  0.09
Ashkenazy 1981   49  0.5242  0.0052  0.0469  0.0447  0.0567  0.04
Bacha 2000   50  0.5161  0.0055  0.0456  0.0456  0.0551  0.04
Badura 1965   65  0.4659  0.0057  0.0545  0.0554  0.0550  0.05
Barbosa 1983   53  0.5076  0.0018  0.0920  0.3928  0.2315  0.30
Biret 1990   39  0.5626  0.0034  0.0625  0.3452  0.0627  0.14
Blet 2003   23  0.6247  0.0033  0.0626  0.3146  0.0626  0.14
Block 1995   28  0.6053  0.0032  0.0631  0.2724  0.2718  0.27
Blumental 1952   80  0.3530  0.0059  0.0546  0.0566  0.0365  0.04
Boshniakovich 1969   32  0.5831  0.0051  0.0467  0.0457  0.0566  0.04
Brailowsky 1960   38  0.5764  0.0054  0.0547  0.0559  0.0548  0.05
Bunin 1987   52  0.5016  0.0162  0.0461  0.0465  0.0469  0.04
Bunin 1987b   57  0.4910  0.0163  0.0552  0.0568  0.0456  0.04
Chiu 1999   62  0.4873  0.0049  0.0373  0.0361  0.0474  0.03
Cohen 1997   82  0.3271  0.0081  0.0553  0.0560  0.0468  0.04
Cortot 1951   63  0.4744  0.0074  0.0372  0.0378  0.0486  0.03
Csalog 1996   45  0.5421  0.0037  0.0639  0.1817  0.3919  0.26
Czerny 1949   66  0.4684  0.0079  0.0471  0.0484  0.0381  0.03
Czerny 1990   14  0.6441  0.0022  0.1017  0.4474  0.0334  0.11
Duchoud 2007   59  0.4949  0.0058  0.0549  0.0578  0.0364  0.04
Ezaki 2006   7  0.6732  0.0012  0.129  0.5642  0.1120  0.25
Falvay 1989   1  0.782  0.242  0.392  0.733  0.672  0.70
Farrell 1958   29  0.6056  0.0036  0.0732  0.2750  0.0629  0.13
Ferenczy 1958   47  0.5425  0.0061  0.0460  0.0462  0.0463  0.04
Fliere 1977   19  0.6367  0.0028  0.0728  0.3180  0.0335  0.10
Fou 1978   8  0.6745  0.007  0.148  0.6026  0.308  0.42
Francois 1956   22  0.629  0.0113  0.0913  0.5030  0.309  0.39
Friedman 1923   86  0.1557  0.0087  0.0377  0.0379  0.0389  0.03
Friedman 1923b   87  0.1585  0.0086  0.0379  0.0378  0.0484  0.03
Friedman 1930   85  0.2650  0.0084  0.0378  0.0371  0.0478  0.03
Garcia 2007   74  0.4283  0.0076  0.0374  0.0386  0.0382  0.03
Garcia 2007b   83  0.2963  0.0083  0.0470  0.0486  0.0288  0.03
Gierzod 1998   35  0.5755  0.0043  0.0641  0.1474  0.0347  0.06
Gornostaeva 1994   26  0.6135  0.0031  0.0629  0.3051  0.0532  0.12
Groot 1988   3  0.764  0.053  0.384  0.688  0.543  0.61
Harasiewicz 1955   42  0.5552  0.0021  0.1419  0.4053  0.0430  0.13
Hatto 1993   81  0.3372  0.0071  0.0286  0.0257  0.0485  0.03
Hatto 1997   77  0.3822  0.0067  0.0376  0.0369  0.0479  0.03
Horowitz 1949   61  0.4823  0.0060  0.0554  0.0567  0.0357  0.04
Indjic 1988   79  0.3678  0.0068  0.0381  0.0360  0.0561  0.04
Kapell 1951   37  0.5748  0.0048  0.0458  0.0447  0.0555  0.04
Kissin 1993   5  0.7011  0.016  0.1311  0.5431  0.1814  0.31
Kushner 1989   13  0.6519  0.0015  0.0814  0.5043  0.1122  0.23
Luisada 1991   34  0.5754  0.0019  0.0830  0.2867  0.0433  0.11
Lushtak 2004   9  0.673  0.144  0.273  0.7013  0.396  0.52
Malcuzynski 1961   25  0.6129  0.0042  0.0742  0.1464  0.0444  0.07
Magaloff 1978   20  0.6339  0.0016  0.0918  0.4431  0.2513  0.33
Magin 1975   51  0.5165  0.0056  0.0551  0.0581  0.0354  0.04
Michalowski 1933   84  0.2982  0.0085  0.0555  0.0584  0.0360  0.04
Milkina 1970   4  0.7012  0.015  0.186  0.6127  0.327  0.44
Mohovich 1999   2  0.781  0.341  0.331  0.763  0.691  0.72
Moravec 1969   58  0.4969  0.0075  0.0468  0.0471  0.0372  0.03
Morozova 2008   48  0.5420  0.0039  0.0735  0.2050  0.0441  0.09
Neighaus 1950   24  0.6214  0.0129  0.0833  0.2563  0.0438  0.10
Niedzielski 1931   75  0.4043  0.0082  0.0382  0.0378  0.0375  0.03
Ohlsson 1999   41  0.5551  0.0044  0.0544  0.0956  0.0545  0.07
Osinska 1989   21  0.6277  0.0024  0.0823  0.3548  0.0528  0.13
Pachmann 1927   30  0.6017  0.0141  0.0640  0.1817  0.3521  0.25
Paderewski 1930   43  0.5546  0.0050  0.0463  0.0452  0.0458  0.04
Perlemuter 1992   16  0.6424  0.0014  0.0915  0.4834  0.1517  0.27
Pierdomenico 2008   31  0.5868  0.0023  0.1124  0.3521  0.4011  0.37
Poblocka 1999   33  0.5838  0.0053  0.0459  0.0479  0.0373  0.03
Rabcewiczowa 1932   46  0.5415  0.0130  0.0634  0.2242  0.1124  0.16
Rachmaninoff 1923   69  0.4433  0.0046  0.0462  0.0460  0.0453  0.04
Rangell 2001   36  0.5775  0.0017  0.1022  0.3619  0.3512  0.35
Richter 1976   60  0.4958  0.0069  0.0383  0.0363  0.0476  0.03
Rosen 1989   27  0.6128  0.0025  0.0921  0.3966  0.0431  0.12
Rosenthal 1930   71  0.4380  0.0070  0.0384  0.0375  0.0383  0.03
Rosenthal 1931   73  0.4279  0.0066  0.0550  0.0544  0.0649  0.05
Rosenthal 1931b   76  0.4081  0.0077  0.0380  0.0367  0.0487  0.03
Rosenthal 1931c   64  0.4789  0.0065  0.0466  0.0449  0.0571  0.04
Rosenthal 1931d   72  0.4388  0.0078  0.0375  0.0361  0.0570  0.04
Rossi 2007   78  0.3766  0.0038  0.0643  0.1217  0.3623  0.21
Rubinstein 1939   70  0.4360  0.0064  0.0548  0.0538  0.1839  0.09
Rubinstein 1952   10  0.6613  0.0110  0.127  0.6012  0.555  0.57
Rubinstein 1966   11  0.655  0.048  0.135  0.6210  0.574  0.59
Schilhawsky 1960   67  0.4586  0.0080  0.0464  0.0466  0.0462  0.04
Shebanova 2002   18  0.637  0.0127  0.0738  0.1862  0.0443  0.08
Smith 1975   6  0.678  0.019  0.1412  0.5326  0.2710  0.38
Sokolov 2002   44  0.5427  0.0040  0.0736  0.1950  0.0536  0.10
Sztompka 1959   40  0.566  0.0247  0.0465  0.0467  0.0559  0.04
Tomsic 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1932   68  0.4470  0.0073  0.0285  0.0271  0.0480  0.03
Uninsky 1971   56  0.4936  0.0072  0.0288  0.0258  0.0677  0.03
Wasowski 1980   54  0.4962  0.0045  0.0457  0.0454  0.0552  0.04
Zak 1937   15  0.6434  0.0020  0.0916  0.4555  0.0625  0.16
Zak 1951   12  0.6540  0.0011  0.1310  0.5536  0.1516  0.29
Random 1   89  -0.0974  0.0089  0.0289  0.0232  0.2646  0.07
Random 2   90  -0.2587  0.0090  0.0190  0.0189  0.0190  0.01
Random 3   88  0.0590  0.0088  0.0287  0.0213  0.3942  0.09

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).