Tomsic 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.7720  0.0117  0.1012  0.4810  0.4011  0.44
Anderszewski 2003   70  0.4928  0.0161  0.0457  0.0444  0.1062  0.06
Ashkenazy 1981   34  0.6568  0.0038  0.0541  0.1149  0.0559  0.07
Bacha 2000   47  0.6248  0.0064  0.0466  0.0423  0.3140  0.11
Badura 1965   61  0.578  0.0419  0.0922  0.337  0.5415  0.42
Barbosa 1983   53  0.6063  0.0032  0.0630  0.2224  0.3729  0.29
Biret 1990   45  0.6259  0.0069  0.0370  0.0365  0.0386  0.03
Blet 2003   15  0.7460  0.0030  0.0723  0.3122  0.3424  0.32
Block 1995   52  0.6057  0.0068  0.0467  0.0437  0.1652  0.08
Blumental 1952   83  0.2849  0.0077  0.0382  0.0366  0.0382  0.03
Boshniakovich 1969   42  0.6346  0.0050  0.0454  0.0429  0.2149  0.09
Brailowsky 1960   37  0.6417  0.0165  0.0375  0.0353  0.0570  0.04
Bunin 1987   22  0.7122  0.0123  0.0719  0.3622  0.3621  0.36
Bunin 1987b   23  0.7112  0.0224  0.1020  0.3622  0.3620  0.36
Chiu 1999   67  0.5229  0.0154  0.0452  0.0445  0.0961  0.06
Cohen 1997   80  0.3367  0.0083  0.0376  0.0367  0.0384  0.03
Cortot 1951   68  0.5280  0.0074  0.0379  0.0348  0.0675  0.04
Csalog 1996   65  0.5414  0.0157  0.0458  0.0428  0.2942  0.11
Czerny 1949   58  0.5747  0.0048  0.0462  0.0449  0.0667  0.05
Czerny 1990   19  0.7361  0.0018  0.1021  0.3619  0.3023  0.33
Duchoud 2007   49  0.6187  0.0047  0.0549  0.0543  0.1158  0.07
Ezaki 2006   3  0.844  0.072  0.122  0.625  0.552  0.58
Falvay 1989   5  0.8334  0.006  0.115  0.558  0.494  0.52
Farrell 1958   51  0.6171  0.0076  0.0380  0.0364  0.0479  0.03
Ferenczy 1958   38  0.6452  0.0056  0.0450  0.0429  0.2843  0.11
Fliere 1977   11  0.7723  0.0114  0.0813  0.4415  0.3718  0.40
Fou 1978   8  0.785  0.068  0.118  0.537  0.515  0.52
Francois 1956   26  0.6942  0.0015  0.0817  0.3717  0.3222  0.34
Friedman 1923   89  0.0077  0.0088  0.0287  0.0252  0.0689  0.03
Friedman 1923b   88  0.0191  0.0087  0.0288  0.0249  0.0685  0.03
Friedman 1930   85  0.1979  0.0082  0.0384  0.0353  0.0573  0.04
Garcia 2007   78  0.3985  0.0081  0.0383  0.0342  0.1364  0.06
Garcia 2007b   86  0.1764  0.0085  0.0374  0.0366  0.0388  0.03
Gierzod 1998   48  0.6273  0.0037  0.0544  0.0959  0.0463  0.06
Gornostaeva 1994   28  0.6926  0.0125  0.0724  0.3125  0.2730  0.29
Groot 1988   4  0.837  0.045  0.126  0.545  0.506  0.52
Harasiewicz 1955   43  0.632  0.084  0.127  0.548  0.448  0.49
Hatto 1993   79  0.3584  0.0071  0.0369  0.0352  0.0487  0.03
Hatto 1997   74  0.4438  0.0062  0.0460  0.0463  0.0381  0.03
Horowitz 1949   60  0.5754  0.0041  0.0638  0.1328  0.2636  0.18
Indjic 1988   77  0.3975  0.0063  0.0371  0.0360  0.0380  0.03
Kapell 1951   41  0.6472  0.0070  0.0463  0.0446  0.0666  0.05
Kissin 1993   7  0.8031  0.009  0.1014  0.4215  0.4512  0.43
Kushner 1989   27  0.6941  0.0028  0.0727  0.2734  0.2232  0.24
Luisada 1991   36  0.6530  0.0133  0.0735  0.1736  0.1934  0.18
Lushtak 2004   12  0.753  0.087  0.103  0.589  0.513  0.54
Malcuzynski 1961   6  0.8227  0.0110  0.139  0.5317  0.419  0.47
Magaloff 1978   21  0.7250  0.0029  0.0731  0.2130  0.2633  0.23
Magin 1975   63  0.5566  0.0059  0.0455  0.0442  0.1154  0.07
Michalowski 1933   84  0.2688  0.0078  0.0373  0.0351  0.0572  0.04
Milkina 1970   13  0.7515  0.0121  0.0728  0.2617  0.3826  0.31
Mohovich 1999   1  0.871  0.211  0.211  0.653  0.581  0.61
Moravec 1969   57  0.5753  0.0075  0.0386  0.0367  0.0376  0.03
Morozova 2008   56  0.5916  0.0139  0.0436  0.1524  0.1837  0.16
Neighaus 1950   9  0.7839  0.0012  0.1511  0.4917  0.4510  0.47
Niedzielski 1931   76  0.4186  0.0084  0.0465  0.0464  0.0378  0.03
Ohlsson 1999   35  0.6536  0.0036  0.0540  0.1158  0.0455  0.07
Osinska 1989   44  0.6251  0.0051  0.0461  0.0443  0.1153  0.07
Pachmann 1927   39  0.6418  0.0134  0.0534  0.179  0.5228  0.30
Paderewski 1930   55  0.5969  0.0060  0.0548  0.0549  0.0471  0.04
Perlemuter 1992   18  0.7310  0.0216  0.0915  0.397  0.4614  0.42
Pierdomenico 2008   46  0.6289  0.0045  0.0445  0.0733  0.1841  0.11
Poblocka 1999   24  0.7065  0.0044  0.0539  0.1341  0.1539  0.14
Rabcewiczowa 1932   59  0.5725  0.0153  0.0451  0.0435  0.1751  0.08
Rachmaninoff 1923   71  0.4933  0.0040  0.0443  0.0940  0.1145  0.10
Rangell 2001   32  0.6640  0.0052  0.0456  0.0428  0.2250  0.09
Richter 1976   30  0.6924  0.0122  0.0825  0.306  0.4719  0.38
Rosen 1989   40  0.6470  0.0058  0.0459  0.0446  0.0574  0.04
Rosenthal 1930   69  0.5082  0.0073  0.0381  0.0344  0.0968  0.05
Rosenthal 1931   73  0.4774  0.0066  0.0378  0.0337  0.1756  0.07
Rosenthal 1931b   75  0.4381  0.0080  0.0453  0.0440  0.1160  0.07
Rosenthal 1931c   62  0.5690  0.0067  0.0377  0.0343  0.1165  0.06
Rosenthal 1931d   72  0.4983  0.0079  0.0385  0.0344  0.0969  0.05
Rossi 2007   82  0.2843  0.0072  0.0468  0.0416  0.2444  0.10
Rubinstein 1939   81  0.2845  0.0086  0.0372  0.0364  0.0477  0.03
Rubinstein 1952   25  0.706  0.0520  0.0729  0.2320  0.4525  0.32
Rubinstein 1966   17  0.7321  0.0127  0.0726  0.293  0.6413  0.43
Schilhawsky 1960   54  0.5978  0.0042  0.0542  0.1051  0.0557  0.07
Shebanova 2002   31  0.6832  0.0043  0.0537  0.1435  0.1838  0.16
Smith 1975   16  0.7313  0.0211  0.1016  0.3828  0.2427  0.30
Sokolov 2002   29  0.6944  0.0035  0.0432  0.2133  0.2731  0.24
Sztompka 1959   33  0.6555  0.0046  0.0546  0.0536  0.2246  0.10
Tomsic 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1932   64  0.5437  0.0049  0.0464  0.0433  0.2548  0.10
Uninsky 1971   50  0.6135  0.0055  0.0547  0.0536  0.2147  0.10
Wasowski 1980   66  0.5211  0.0231  0.0733  0.1830  0.1835  0.18
Zak 1937   20  0.7276  0.0026  0.0918  0.3710  0.4516  0.41
Zak 1951   14  0.759  0.0313  0.0910  0.517  0.507  0.50
Average   2  0.8419  0.013  0.114  0.5724  0.2917  0.41
Random 1   90  -0.0856  0.0090  0.0190  0.0145  0.1283  0.03
Random 2   91  -0.2062  0.0091  0.0191  0.0149  0.0490  0.02
Random 3   87  0.0158  0.0089  0.0189  0.0179  0.0291  0.01

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).