Tomsic 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   33  0.5137  0.0050  0.0848  0.0889  0.0267  0.04
Anderszewski 2003   36  0.5065  0.0035  0.0634  0.2885  0.0337  0.09
Ashkenazy 1981   65  0.3936  0.0060  0.0472  0.0486  0.0281  0.03
Bacha 2000   59  0.4045  0.0037  0.0636  0.2281  0.0338  0.08
Badura 1965   74  0.3627  0.0073  0.0563  0.0567  0.0469  0.04
Barbosa 1983   63  0.3975  0.0015  0.1031  0.3345  0.0815  0.16
Biret 1990   37  0.5053  0.0019  0.1317  0.4760  0.0423  0.14
Blet 2003   39  0.5047  0.0046  0.0850  0.0875  0.0353  0.05
Block 1995   9  0.6011  0.0211  0.1316  0.4930  0.1813  0.30
Blumental 1952   55  0.4332  0.0032  0.1032  0.3267  0.0434  0.11
Boshniakovich 1969   29  0.5316  0.0153  0.0751  0.0763  0.0547  0.06
Brailowsky 1960   42  0.4970  0.0036  0.0735  0.2483  0.0339  0.08
Bunin 1987   87  0.2823  0.0185  0.0380  0.0383  0.0288  0.02
Bunin 1987b   88  0.2720  0.0184  0.0286  0.0281  0.0284  0.02
Chiu 1999   54  0.4450  0.0038  0.0540  0.1780  0.0345  0.07
Cohen 1997   82  0.3061  0.0045  0.0545  0.1038  0.1728  0.13
Cortot 1951   56  0.4243  0.0071  0.0752  0.0782  0.0356  0.05
Csalog 1996   26  0.5410  0.0213  0.129  0.5611  0.415  0.48
Czerny 1949   76  0.3478  0.0078  0.0378  0.0379  0.0378  0.03
Czerny 1990   19  0.5662  0.0033  0.0833  0.3168  0.0336  0.10
Duchoud 2007   73  0.3666  0.0065  0.0471  0.0483  0.0279  0.03
Ezaki 2006   32  0.5144  0.0042  0.0642  0.1667  0.0343  0.07
Falvay 1989   1  0.731  0.301  0.301  0.671  0.641  0.65
Farrell 1958   12  0.5948  0.0010  0.1911  0.5334  0.2312  0.35
Ferenczy 1958   53  0.4446  0.0069  0.0475  0.0472  0.0376  0.03
Fliere 1977   40  0.4939  0.0047  0.0847  0.0888  0.0258  0.04
Fou 1978   20  0.5521  0.0114  0.0910  0.5454  0.0416  0.15
Francois 1956   25  0.5540  0.0028  0.0925  0.4155  0.0524  0.14
Friedman 1923   84  0.2987  0.0087  0.0289  0.0281  0.0390  0.02
Friedman 1923b   85  0.2979  0.0086  0.0287  0.0283  0.0389  0.02
Friedman 1930   77  0.3254  0.0088  0.0383  0.0387  0.0375  0.03
Garcia 2007   52  0.4459  0.0056  0.0658  0.0671  0.0368  0.04
Garcia 2007b   57  0.4271  0.0064  0.0470  0.0486  0.0283  0.03
Gierzod 1998   30  0.5255  0.0048  0.0946  0.0984  0.0354  0.05
Gornostaeva 1994   27  0.5456  0.0043  0.0741  0.1688  0.0248  0.06
Groot 1988   2  0.688  0.034  0.215  0.6113  0.474  0.54
Harasiewicz 1955   44  0.4828  0.0051  0.0754  0.0763  0.0549  0.06
Hatto 1993   83  0.3060  0.0075  0.0564  0.0587  0.0371  0.04
Hatto 1997   79  0.3272  0.0077  0.0560  0.0587  0.0366  0.04
Horowitz 1949   66  0.3851  0.0072  0.0469  0.0477  0.0464  0.04
Indjic 1988   78  0.3273  0.0076  0.0476  0.0487  0.0374  0.03
Kapell 1951   35  0.5088  0.0040  0.0639  0.1986  0.0246  0.06
Kissin 1993   10  0.6017  0.0123  0.0920  0.4456  0.0425  0.13
Kushner 1989   8  0.6026  0.0018  0.1012  0.5273  0.0420  0.14
Luisada 1991   38  0.5080  0.0026  0.0829  0.3576  0.0335  0.10
Lushtak 2004   15  0.586  0.059  0.1614  0.5258  0.0421  0.14
Malcuzynski 1961   58  0.4142  0.0070  0.0561  0.0586  0.0363  0.04
Magaloff 1978   28  0.5452  0.0021  0.1021  0.4353  0.0614  0.16
Magin 1975   47  0.4763  0.0055  0.0656  0.0673  0.0362  0.04
Michalowski 1933   80  0.3289  0.0079  0.0285  0.0288  0.0286  0.02
Milkina 1970   4  0.647  0.053  0.164  0.6429  0.297  0.43
Mohovich 1999   3  0.682  0.122  0.212  0.6622  0.443  0.54
Moravec 1969   60  0.4069  0.0061  0.0473  0.0466  0.0457  0.04
Morozova 2008   41  0.4925  0.0041  0.0638  0.2077  0.0341  0.08
Neighaus 1950   49  0.4613  0.0157  0.0562  0.0561  0.0555  0.05
Niedzielski 1931   61  0.4030  0.0074  0.0565  0.0562  0.0461  0.04
Ohlsson 1999   51  0.4534  0.0049  0.0753  0.0768  0.0452  0.05
Osinska 1989   5  0.6257  0.0017  0.1113  0.5257  0.0418  0.14
Pachmann 1927   21  0.5512  0.0239  0.0543  0.1231  0.1817  0.15
Paderewski 1930   31  0.5177  0.0034  0.0837  0.2277  0.0340  0.08
Perlemuter 1992   23  0.5529  0.0030  0.0824  0.4177  0.0331  0.11
Pierdomenico 2008   24  0.5564  0.0012  0.1518  0.4525  0.359  0.40
Poblocka 1999   50  0.4524  0.0158  0.0657  0.0683  0.0359  0.04
Rabcewiczowa 1932   34  0.5067  0.0031  0.0828  0.3667  0.0429  0.12
Rachmaninoff 1923   64  0.3981  0.0059  0.0566  0.0585  0.0360  0.04
Rangell 2001   43  0.489  0.037  0.1326  0.4121  0.3610  0.38
Richter 1976   86  0.2922  0.0182  0.0284  0.0281  0.0285  0.02
Rosen 1989   14  0.5818  0.0120  0.178  0.5679  0.0327  0.13
Rosenthal 1930   72  0.3676  0.0068  0.0659  0.0685  0.0280  0.03
Rosenthal 1931   68  0.3882  0.0062  0.0467  0.0469  0.0465  0.04
Rosenthal 1931b   71  0.3785  0.0066  0.0377  0.0357  0.0572  0.04
Rosenthal 1931c   70  0.3790  0.0063  0.0474  0.0482  0.0382  0.03
Rosenthal 1931d   69  0.3791  0.0067  0.0468  0.0455  0.0570  0.04
Rossi 2007   45  0.4714  0.0116  0.1027  0.4021  0.3411  0.37
Rubinstein 1939   16  0.584  0.068  0.137  0.5722  0.308  0.41
Rubinstein 1952   6  0.625  0.065  0.193  0.655  0.542  0.59
Rubinstein 1966   17  0.583  0.086  0.156  0.6022  0.376  0.47
Schilhawsky 1960   81  0.3183  0.0083  0.0288  0.0284  0.0287  0.02
Shebanova 2002   13  0.5915  0.0129  0.0830  0.3453  0.0526  0.13
Smith 1975   7  0.6119  0.0122  0.1215  0.5066  0.0419  0.14
Sokolov 2002   62  0.4038  0.0044  0.0544  0.1157  0.0444  0.07
Sztompka 1959   48  0.4635  0.0052  0.0849  0.0879  0.0351  0.05
Tomsic 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1932   75  0.3486  0.0081  0.0379  0.0381  0.0377  0.03
Uninsky 1971   67  0.3874  0.0080  0.0381  0.0383  0.0373  0.03
Wasowski 1980   46  0.4731  0.0054  0.0655  0.0670  0.0550  0.05
Zak 1937   18  0.5668  0.0025  0.1323  0.4286  0.0332  0.11
Zak 1951   22  0.5541  0.0024  0.1022  0.4385  0.0333  0.11
Average   11  0.5933  0.0027  0.1119  0.4580  0.0330  0.12
Random 1   90  -0.1158  0.0090  0.0290  0.0215  0.3142  0.08
Random 2   91  -0.3084  0.0091  0.0191  0.0186  0.0291  0.01
Random 3   89  0.1049  0.0089  0.0382  0.032  0.6222  0.14

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).