Tomsic 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   18  0.6418  0.0127  0.0828  0.3179  0.0338  0.10
Anderszewski 2003   56  0.4938  0.0036  0.0638  0.1954  0.0441  0.09
Ashkenazy 1981   50  0.5251  0.0053  0.0470  0.0448  0.0567  0.04
Bacha 2000   51  0.5162  0.0056  0.0457  0.0457  0.0552  0.04
Badura 1965   66  0.4660  0.0058  0.0546  0.0555  0.0551  0.05
Barbosa 1983   54  0.5077  0.0019  0.0921  0.3929  0.2315  0.30
Biret 1990   40  0.5626  0.0035  0.0626  0.3453  0.0628  0.14
Blet 2003   24  0.6247  0.0034  0.0627  0.3147  0.0627  0.14
Block 1995   29  0.6054  0.0033  0.0532  0.2725  0.2718  0.27
Blumental 1952   81  0.3530  0.0060  0.0547  0.0567  0.0365  0.04
Boshniakovich 1969   33  0.5831  0.0052  0.0468  0.0458  0.0566  0.04
Brailowsky 1960   39  0.5767  0.0055  0.0548  0.0560  0.0549  0.05
Bunin 1987   53  0.5016  0.0163  0.0462  0.0466  0.0469  0.04
Bunin 1987b   58  0.4910  0.0164  0.0553  0.0569  0.0457  0.04
Chiu 1999   63  0.4874  0.0050  0.0374  0.0362  0.0474  0.03
Cohen 1997   83  0.3272  0.0082  0.0554  0.0561  0.0468  0.04
Cortot 1951   64  0.4743  0.0075  0.0373  0.0379  0.0487  0.03
Csalog 1996   46  0.5421  0.0038  0.0640  0.1818  0.3919  0.26
Czerny 1949   67  0.4685  0.0080  0.0372  0.0385  0.0382  0.03
Czerny 1990   15  0.6442  0.0023  0.1018  0.4475  0.0335  0.11
Duchoud 2007   60  0.4949  0.0059  0.0550  0.0579  0.0364  0.04
Ezaki 2006   8  0.6732  0.0013  0.1210  0.5643  0.1120  0.25
Falvay 1989   1  0.782  0.242  0.392  0.733  0.672  0.70
Farrell 1958   30  0.6057  0.0037  0.0633  0.2751  0.0630  0.13
Ferenczy 1958   48  0.5425  0.0062  0.0461  0.0463  0.0463  0.04
Fliere 1977   20  0.6369  0.0029  0.0729  0.3181  0.0336  0.10
Fou 1978   9  0.6745  0.009  0.149  0.6027  0.308  0.42
Francois 1956   23  0.629  0.0114  0.0914  0.5031  0.309  0.39
Friedman 1923   87  0.1558  0.0088  0.0378  0.0380  0.0390  0.03
Friedman 1923b   88  0.1586  0.0087  0.0380  0.0379  0.0485  0.03
Friedman 1930   86  0.2650  0.0085  0.0379  0.0372  0.0479  0.03
Garcia 2007   75  0.4284  0.0077  0.0375  0.0387  0.0383  0.03
Garcia 2007b   84  0.2964  0.0084  0.0471  0.0487  0.0289  0.03
Gierzod 1998   36  0.5755  0.0044  0.0642  0.1475  0.0348  0.06
Gornostaeva 1994   27  0.6136  0.0032  0.0630  0.3052  0.0533  0.12
Groot 1988   3  0.764  0.053  0.384  0.689  0.543  0.61
Harasiewicz 1955   43  0.5553  0.0022  0.1420  0.4054  0.0431  0.13
Hatto 1993   82  0.3373  0.0072  0.0287  0.0258  0.0486  0.03
Hatto 1997   78  0.3822  0.0068  0.0377  0.0370  0.0480  0.03
Horowitz 1949   62  0.4823  0.0061  0.0555  0.0568  0.0358  0.04
Indjic 1988   80  0.3679  0.0069  0.0382  0.0361  0.0561  0.04
Kapell 1951   38  0.5748  0.0049  0.0459  0.0448  0.0556  0.04
Kissin 1993   6  0.7011  0.017  0.1012  0.5432  0.1814  0.31
Kushner 1989   14  0.6519  0.0016  0.0815  0.5044  0.1122  0.23
Luisada 1991   35  0.5756  0.0020  0.0831  0.2868  0.0434  0.11
Lushtak 2004   10  0.673  0.144  0.263  0.7014  0.396  0.52
Malcuzynski 1961   26  0.6129  0.0043  0.0743  0.1465  0.0445  0.07
Magaloff 1978   21  0.6340  0.0017  0.0919  0.4432  0.2513  0.33
Magin 1975   52  0.5165  0.0057  0.0552  0.0582  0.0355  0.04
Michalowski 1933   85  0.2983  0.0086  0.0456  0.0485  0.0377  0.03
Milkina 1970   5  0.7012  0.015  0.177  0.6128  0.327  0.44
Mohovich 1999   2  0.781  0.341  0.331  0.764  0.691  0.72
Moravec 1969   59  0.4970  0.0076  0.0469  0.0472  0.0372  0.03
Morozova 2008   49  0.5420  0.0040  0.0636  0.2051  0.0442  0.09
Neighaus 1950   25  0.6214  0.0130  0.0834  0.2564  0.0439  0.10
Niedzielski 1931   76  0.4044  0.0083  0.0383  0.0379  0.0375  0.03
Ohlsson 1999   42  0.5552  0.0045  0.0545  0.0957  0.0546  0.07
Osinska 1989   22  0.6278  0.0025  0.0824  0.3549  0.0529  0.13
Pachmann 1927   31  0.6017  0.0142  0.0641  0.1818  0.3521  0.25
Paderewski 1930   44  0.5546  0.0051  0.0464  0.0453  0.0459  0.04
Perlemuter 1992   17  0.6424  0.0015  0.0916  0.4835  0.1517  0.27
Pierdomenico 2008   32  0.5868  0.0024  0.1025  0.3522  0.4011  0.37
Poblocka 1999   34  0.5839  0.0054  0.0460  0.0480  0.0373  0.03
Rabcewiczowa 1932   47  0.5415  0.0131  0.0635  0.2243  0.1124  0.16
Rachmaninoff 1923   70  0.4434  0.0047  0.0463  0.0461  0.0454  0.04
Rangell 2001   37  0.5776  0.0018  0.1023  0.3620  0.3512  0.35
Richter 1976   61  0.4959  0.0070  0.0384  0.0364  0.0476  0.03
Rosen 1989   28  0.6128  0.0026  0.0922  0.3967  0.0432  0.12
Rosenthal 1930   72  0.4381  0.0071  0.0385  0.0376  0.0384  0.03
Rosenthal 1931   74  0.4280  0.0067  0.0551  0.0545  0.0650  0.05
Rosenthal 1931b   77  0.4082  0.0078  0.0381  0.0368  0.0488  0.03
Rosenthal 1931c   65  0.4790  0.0066  0.0467  0.0450  0.0571  0.04
Rosenthal 1931d   73  0.4389  0.0079  0.0376  0.0362  0.0570  0.04
Rossi 2007   79  0.3766  0.0039  0.0644  0.1218  0.3623  0.21
Rubinstein 1939   71  0.4361  0.0065  0.0549  0.0539  0.1840  0.09
Rubinstein 1952   11  0.6613  0.0111  0.128  0.6012  0.555  0.57
Rubinstein 1966   12  0.655  0.046  0.125  0.6211  0.574  0.59
Schilhawsky 1960   68  0.4587  0.0081  0.0465  0.0467  0.0462  0.04
Shebanova 2002   19  0.637  0.0128  0.0739  0.1863  0.0444  0.08
Smith 1975   7  0.678  0.0110  0.1413  0.5327  0.2710  0.38
Sokolov 2002   45  0.5427  0.0041  0.0737  0.1951  0.0537  0.10
Sztompka 1959   41  0.566  0.0248  0.0466  0.0468  0.0560  0.04
Tomsic 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1932   69  0.4471  0.0074  0.0286  0.0272  0.0481  0.03
Uninsky 1971   57  0.4937  0.0073  0.0289  0.0259  0.0678  0.03
Wasowski 1980   55  0.4963  0.0046  0.0458  0.0455  0.0553  0.04
Zak 1937   16  0.6435  0.0021  0.0917  0.4556  0.0625  0.16
Zak 1951   13  0.6541  0.0012  0.1311  0.5537  0.1516  0.29
Average   4  0.7233  0.008  0.116  0.6262  0.0426  0.16
Random 1   90  -0.0975  0.0090  0.0290  0.0231  0.2747  0.07
Random 2   91  -0.2588  0.0091  0.0191  0.0190  0.0191  0.01
Random 3   89  0.0591  0.0089  0.0288  0.0213  0.4043  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).