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  0.3541  0.0011  0.1410  0.4816  0.529  0.50
Anderszewski 2003   64  0.222  0.173  0.1921  0.3124  0.4516  0.37
Ashkenazy 1981   11  0.4040  0.0018  0.0917  0.3644  0.1529  0.23
Bacha 2000   33  0.3118  0.0149  0.0561  0.0529  0.3053  0.12
Badura 1965   48  0.2616  0.0136  0.0736  0.1629  0.4124  0.26
Barbosa 1983   70  0.2125  0.0059  0.0556  0.0568  0.0566  0.05
Biret 1990   52  0.2528  0.0048  0.0647  0.0635  0.4042  0.15
Blet 2003   20  0.3489  0.0016  0.1014  0.4432  0.4012  0.42
Block 1995   26  0.3365  0.0024  0.0718  0.3438  0.2420  0.29
Blumental 1952   44  0.2854  0.0058  0.0648  0.0651  0.0663  0.06
Boshniakovich 1969   27  0.3337  0.0019  0.0628  0.2651  0.0750  0.13
Brailowsky 1960   76  0.1835  0.0072  0.0470  0.0450  0.0860  0.06
Bunin 1987   46  0.2747  0.0029  0.0630  0.2234  0.3025  0.26
Bunin 1987b   45  0.2746  0.0032  0.0531  0.2134  0.2827  0.24
Chiu 1999   74  0.1990  0.0080  0.0379  0.0376  0.0484  0.03
Cohen 1997   12  0.398  0.0112  0.1613  0.4520  0.5210  0.48
Cortot 1951   82  0.1680  0.0076  0.0382  0.0346  0.0870  0.05
Csalog 1996   81  0.1772  0.0085  0.0377  0.0369  0.0580  0.04
Czerny 1949   57  0.2457  0.0057  0.0550  0.0531  0.5340  0.16
Czerny 1990   36  0.3132  0.0046  0.0464  0.0439  0.2754  0.10
Duchoud 2007   49  0.2684  0.0042  0.0540  0.1340  0.1941  0.16
Ezaki 2006   8  0.4212  0.015  0.222  0.6511  0.671  0.66
Falvay 1989   4  0.449  0.014  0.153  0.644  0.582  0.61
Farrell 1958   86  0.1313  0.0141  0.0444  0.1039  0.1944  0.14
Ferenczy 1958   84  0.1445  0.0071  0.0468  0.0439  0.4448  0.13
Fliere 1977   37  0.3066  0.0054  0.0466  0.0470  0.0471  0.04
Fou 1978   38  0.3067  0.0056  0.0555  0.0569  0.0375  0.04
Francois 1956   19  0.3433  0.0015  0.1012  0.4717  0.655  0.55
Friedman 1923   83  0.1581  0.0087  0.0287  0.0281  0.0391  0.02
Friedman 1923b   85  0.1485  0.0088  0.0378  0.0382  0.0386  0.03
Friedman 1930   42  0.2814  0.0161  0.0557  0.0556  0.0667  0.05
Garcia 2007   58  0.2461  0.0060  0.0553  0.0563  0.0568  0.05
Garcia 2007b   31  0.3226  0.0033  0.0733  0.2028  0.4321  0.29
Gierzod 1998   67  0.2243  0.0034  0.0632  0.2132  0.3622  0.27
Gornostaeva 1994   50  0.2568  0.0064  0.0554  0.0543  0.1857  0.09
Groot 1988   2  0.473  0.172  0.296  0.5818  0.506  0.54
Harasiewicz 1955   16  0.3517  0.0125  0.0722  0.3140  0.1630  0.22
Hatto 1993   6  0.437  0.017  0.147  0.5621  0.527  0.54
Hatto 1997   7  0.4315  0.0110  0.205  0.5910  0.534  0.56
Horowitz 1949   66  0.2262  0.0081  0.0376  0.0360  0.0577  0.04
Indjic 1988   3  0.465  0.046  0.224  0.6020  0.573  0.58
Kapell 1951   51  0.2586  0.0050  0.0560  0.0547  0.0862  0.06
Kissin 1993   34  0.3129  0.0040  0.0539  0.1340  0.3031  0.20
Kushner 1989   14  0.3870  0.0026  0.0725  0.2939  0.2126  0.25
Luisada 1991   13  0.396  0.019  0.168  0.5524  0.518  0.53
Lushtak 2004   69  0.2159  0.0035  0.0537  0.1529  0.2135  0.18
Malcuzynski 1961   15  0.3822  0.0020  0.0816  0.4027  0.3117  0.35
Magaloff 1978   65  0.2251  0.0079  0.0383  0.0373  0.0485  0.03
Magin 1975   35  0.3144  0.0043  0.0543  0.1037  0.3134  0.18
Michalowski 1933   63  0.2336  0.0074  0.0384  0.0371  0.0579  0.04
Milkina 1970   62  0.2369  0.0047  0.0552  0.0532  0.3447  0.13
Mohovich 1999   47  0.2760  0.0037  0.0935  0.1842  0.1836  0.18
Moravec 1969   25  0.3324  0.0044  0.0442  0.1037  0.1943  0.14
Morozova 2008   30  0.3210  0.0122  0.0724  0.3042  0.1333  0.20
Neighaus 1950   5  0.4421  0.008  0.169  0.5520  0.4111  0.47
Niedzielski 1931   68  0.2173  0.0077  0.0380  0.0364  0.0574  0.04
Ohlsson 1999   54  0.2552  0.0065  0.0562  0.0582  0.0378  0.04
Osinska 1989   72  0.2087  0.0078  0.0286  0.0258  0.0583  0.03
Pachmann 1927   59  0.2388  0.0070  0.0374  0.0355  0.0765  0.05
Paderewski 1930   28  0.3255  0.0028  0.0629  0.2431  0.4118  0.31
Perlemuter 1992   41  0.2811  0.0153  0.0469  0.0445  0.1059  0.06
Pierdomenico 2008   53  0.2531  0.0073  0.0285  0.0278  0.0388  0.02
Poblocka 1999   40  0.2978  0.0052  0.0472  0.0467  0.0572  0.04
Rabcewiczowa 1932   61  0.2327  0.0063  0.0646  0.0636  0.2846  0.13
Rachmaninoff 1923   79  0.1742  0.0062  0.0559  0.0562  0.0473  0.04
Rangell 2001   56  0.2463  0.0055  0.0649  0.0657  0.0569  0.05
Richter 1976   21  0.3420  0.0045  0.0545  0.0947  0.1055  0.09
Rosen 1989   55  0.2582  0.0068  0.0563  0.0562  0.0482  0.04
Rosenthal 1930   78  0.1779  0.0082  0.0467  0.0454  0.0581  0.04
Rosenthal 1931   80  0.1734  0.0067  0.0551  0.0534  0.4245  0.14
Rosenthal 1931b   71  0.2071  0.0066  0.0473  0.0433  0.4252  0.13
Rosenthal 1931c   43  0.2823  0.0039  0.0441  0.1222  0.4928  0.24
Rosenthal 1931d   73  0.1976  0.0069  0.0558  0.0534  0.3651  0.13
Rossi 2007   90  0.0456  0.0090  0.0190  0.0167  0.0487  0.02
Rubinstein 1939   60  0.2364  0.0051  0.0465  0.0446  0.0961  0.06
Rubinstein 1952   23  0.334  0.0413  0.1215  0.4028  0.4014  0.40
Rubinstein 1966   39  0.2958  0.0030  0.0620  0.3243  0.0937  0.17
Schilhawsky 1960   87  0.0674  0.0089  0.0289  0.0279  0.0389  0.02
Shebanova 2002   10  0.4039  0.0021  0.0919  0.3354  0.0839  0.16
Smith 1975   17  0.3530  0.0023  0.0626  0.2914  0.5913  0.41
Sokolov 2002   24  0.3348  0.0038  0.0534  0.1917  0.4519  0.29
Sztompka 1959   9  0.4138  0.0014  0.1011  0.4736  0.3315  0.39
Tomsic 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1932   32  0.3153  0.0031  0.0638  0.1459  0.0558  0.08
Uninsky 1971   29  0.3275  0.0027  0.0727  0.2843  0.1532  0.20
Wasowski 1980   22  0.3319  0.0017  0.0923  0.3143  0.2223  0.26
Zak 1937   77  0.1777  0.0083  0.0471  0.0458  0.0664  0.05
Zak 1951   75  0.1991  0.0075  0.0375  0.0355  0.0576  0.04
Average   1  0.511  0.391  0.391  0.7665  0.0438  0.17
Random 1   88  0.0549  0.0084  0.0381  0.034  0.5449  0.13
Random 2   89  0.0550  0.0086  0.0288  0.0220  0.4056  0.09
Random 3   91  -0.0483  0.0091  0.0191  0.0156  0.0390  0.02

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).