Tomsic 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   32  0.5137  0.0049  0.0847  0.0888  0.0266  0.04
Anderszewski 2003   35  0.5065  0.0034  0.0633  0.2884  0.0336  0.09
Ashkenazy 1981   64  0.3935  0.0059  0.0471  0.0485  0.0280  0.03
Bacha 2000   58  0.4045  0.0036  0.0735  0.2280  0.0338  0.08
Badura 1965   73  0.3627  0.0072  0.0562  0.0566  0.0468  0.04
Barbosa 1983   62  0.3971  0.0015  0.1030  0.3344  0.0816  0.16
Biret 1990   36  0.5053  0.0019  0.1317  0.4759  0.0422  0.14
Blet 2003   38  0.5047  0.0045  0.0849  0.0874  0.0352  0.05
Block 1995   9  0.6011  0.0211  0.1316  0.4929  0.1813  0.30
Blumental 1952   54  0.4332  0.0031  0.1031  0.3266  0.0434  0.11
Boshniakovich 1969   28  0.5316  0.0152  0.0750  0.0762  0.0546  0.06
Brailowsky 1960   41  0.4968  0.0035  0.0734  0.2482  0.0339  0.08
Bunin 1987   86  0.2823  0.0184  0.0379  0.0382  0.0287  0.02
Bunin 1987b   87  0.2720  0.0183  0.0285  0.0280  0.0283  0.02
Chiu 1999   53  0.4449  0.0037  0.0539  0.1779  0.0344  0.07
Cohen 1997   81  0.3050  0.0044  0.0544  0.1037  0.1728  0.13
Cortot 1951   55  0.4241  0.0070  0.0751  0.0781  0.0355  0.05
Csalog 1996   25  0.5410  0.0213  0.129  0.5610  0.415  0.48
Czerny 1949   75  0.3477  0.0077  0.0377  0.0378  0.0377  0.03
Czerny 1990   18  0.5661  0.0032  0.0832  0.3167  0.0335  0.10
Duchoud 2007   72  0.3664  0.0064  0.0470  0.0482  0.0278  0.03
Ezaki 2006   31  0.5143  0.0041  0.0641  0.1666  0.0437  0.08
Falvay 1989   1  0.731  0.301  0.301  0.671  0.641  0.65
Farrell 1958   11  0.5944  0.0010  0.1911  0.5333  0.2312  0.35
Ferenczy 1958   52  0.4446  0.0068  0.0474  0.0471  0.0375  0.03
Fliere 1977   39  0.4938  0.0046  0.0846  0.0887  0.0257  0.04
Fou 1978   19  0.5521  0.0114  0.0910  0.5453  0.0417  0.15
Francois 1956   24  0.5539  0.0027  0.0924  0.4154  0.0523  0.14
Friedman 1923   83  0.2986  0.0086  0.0288  0.0280  0.0389  0.02
Friedman 1923b   84  0.2978  0.0085  0.0286  0.0282  0.0388  0.02
Friedman 1930   76  0.3254  0.0087  0.0382  0.0386  0.0374  0.03
Garcia 2007   51  0.4459  0.0055  0.0657  0.0670  0.0367  0.04
Garcia 2007b   56  0.4272  0.0063  0.0469  0.0485  0.0282  0.03
Gierzod 1998   29  0.5255  0.0047  0.0945  0.0983  0.0353  0.05
Gornostaeva 1994   26  0.5456  0.0042  0.0740  0.1687  0.0247  0.06
Groot 1988   2  0.688  0.034  0.215  0.6112  0.474  0.54
Harasiewicz 1955   43  0.4828  0.0050  0.0753  0.0762  0.0548  0.06
Hatto 1993   82  0.3060  0.0074  0.0563  0.0586  0.0370  0.04
Hatto 1997   78  0.3269  0.0076  0.0559  0.0586  0.0365  0.04
Horowitz 1949   65  0.3851  0.0071  0.0468  0.0476  0.0463  0.04
Indjic 1988   77  0.3273  0.0075  0.0475  0.0486  0.0373  0.03
Kapell 1951   34  0.5087  0.0039  0.0638  0.1985  0.0245  0.06
Kissin 1993   10  0.6017  0.0123  0.1119  0.4455  0.0424  0.13
Kushner 1989   8  0.6026  0.0018  0.1012  0.5272  0.0420  0.14
Luisada 1991   37  0.5079  0.0026  0.0928  0.3575  0.0429  0.12
Lushtak 2004   14  0.586  0.059  0.1614  0.5257  0.0421  0.14
Malcuzynski 1961   57  0.4142  0.0069  0.0560  0.0585  0.0362  0.04
Magaloff 1978   27  0.5452  0.0021  0.1020  0.4352  0.0615  0.16
Magin 1975   46  0.4763  0.0054  0.0655  0.0672  0.0361  0.04
Michalowski 1933   79  0.3288  0.0078  0.0284  0.0287  0.0285  0.02
Milkina 1970   4  0.647  0.053  0.164  0.6428  0.297  0.43
Mohovich 1999   3  0.682  0.122  0.212  0.6621  0.443  0.54
Moravec 1969   59  0.4070  0.0060  0.0472  0.0465  0.0456  0.04
Morozova 2008   40  0.4925  0.0040  0.0637  0.2076  0.0341  0.08
Neighaus 1950   48  0.4613  0.0156  0.0561  0.0560  0.0554  0.05
Niedzielski 1931   60  0.4030  0.0073  0.0564  0.0561  0.0460  0.04
Ohlsson 1999   50  0.4533  0.0048  0.0752  0.0767  0.0451  0.05
Osinska 1989   5  0.6257  0.0017  0.1113  0.5256  0.0514  0.16
Pachmann 1927   20  0.5512  0.0238  0.0542  0.1230  0.1818  0.15
Paderewski 1930   30  0.5176  0.0033  0.0836  0.2276  0.0340  0.08
Perlemuter 1992   22  0.5529  0.0029  0.0823  0.4176  0.0331  0.11
Pierdomenico 2008   23  0.5562  0.0012  0.1518  0.4524  0.359  0.40
Poblocka 1999   49  0.4524  0.0157  0.0656  0.0682  0.0358  0.04
Rabcewiczowa 1932   33  0.5066  0.0030  0.0827  0.3666  0.0430  0.12
Rachmaninoff 1923   63  0.3980  0.0058  0.0565  0.0584  0.0359  0.04
Rangell 2001   42  0.489  0.037  0.1325  0.4120  0.3610  0.38
Richter 1976   85  0.2922  0.0181  0.0283  0.0280  0.0284  0.02
Rosen 1989   13  0.5818  0.0120  0.178  0.5678  0.0326  0.13
Rosenthal 1930   71  0.3675  0.0067  0.0658  0.0684  0.0279  0.03
Rosenthal 1931   67  0.3881  0.0061  0.0466  0.0468  0.0464  0.04
Rosenthal 1931b   70  0.3784  0.0065  0.0376  0.0356  0.0571  0.04
Rosenthal 1931c   69  0.3789  0.0062  0.0473  0.0481  0.0381  0.03
Rosenthal 1931d   68  0.3790  0.0066  0.0467  0.0454  0.0569  0.04
Rossi 2007   44  0.4714  0.0116  0.1026  0.4021  0.3411  0.37
Rubinstein 1939   15  0.584  0.068  0.137  0.5721  0.308  0.41
Rubinstein 1952   6  0.625  0.065  0.193  0.655  0.542  0.59
Rubinstein 1966   16  0.583  0.086  0.156  0.6021  0.376  0.47
Schilhawsky 1960   80  0.3182  0.0082  0.0287  0.0283  0.0286  0.02
Shebanova 2002   12  0.5915  0.0128  0.0829  0.3452  0.0525  0.13
Smith 1975   7  0.6119  0.0122  0.1215  0.5065  0.0419  0.14
Sokolov 2002   61  0.4036  0.0043  0.0543  0.1156  0.0443  0.07
Sztompka 1959   47  0.4634  0.0051  0.0848  0.0878  0.0350  0.05
Tomsic 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1932   74  0.3485  0.0080  0.0378  0.0380  0.0376  0.03
Uninsky 1971   66  0.3874  0.0079  0.0380  0.0382  0.0372  0.03
Wasowski 1980   45  0.4731  0.0053  0.0654  0.0669  0.0549  0.05
Zak 1937   17  0.5667  0.0025  0.1422  0.4285  0.0332  0.11
Zak 1951   21  0.5540  0.0024  0.1221  0.4384  0.0333  0.11
Random 1   89  -0.1158  0.0089  0.0289  0.0216  0.3042  0.08
Random 2   90  -0.3083  0.0090  0.0190  0.0185  0.0290  0.01
Random 3   88  0.1048  0.0088  0.0381  0.032  0.6027  0.13

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).