Tomsic 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   47  0.4339  0.0057  0.0850  0.0887  0.0274  0.04
Anderszewski 2003   25  0.4925  0.0027  0.0921  0.4759  0.0429  0.14
Ashkenazy 1981   63  0.3851  0.0062  0.0660  0.0682  0.0375  0.04
Bacha 2000   56  0.4041  0.0042  0.0541  0.1480  0.0347  0.06
Badura 1965   61  0.3973  0.0055  0.0756  0.0762  0.0552  0.06
Barbosa 1983   45  0.4362  0.0024  0.0733  0.3439  0.1815  0.25
Biret 1990   33  0.4774  0.0028  0.0926  0.4359  0.0433  0.13
Blet 2003   39  0.4540  0.0048  0.0753  0.0762  0.0551  0.06
Block 1995   17  0.527  0.0218  0.0912  0.5528  0.258  0.37
Blumental 1952   57  0.4042  0.0040  0.0539  0.1777  0.0441  0.08
Boshniakovich 1969   20  0.5152  0.0035  0.0735  0.3362  0.0532  0.13
Brailowsky 1960   62  0.3919  0.0166  0.0566  0.0576  0.0463  0.04
Bunin 1987   75  0.3265  0.0078  0.0570  0.0564  0.0476  0.04
Bunin 1987b   74  0.3261  0.0077  0.0662  0.0683  0.0367  0.04
Chiu 1999   53  0.4226  0.0047  0.0751  0.0754  0.0549  0.06
Cohen 1997   71  0.3435  0.0056  0.0754  0.0745  0.1043  0.08
Cortot 1951   81  0.2837  0.0069  0.0477  0.0485  0.0384  0.03
Csalog 1996   10  0.5531  0.006  0.1310  0.5910  0.503  0.54
Czerny 1949   65  0.3888  0.0071  0.0661  0.0683  0.0373  0.04
Czerny 1990   29  0.4838  0.0041  0.0543  0.1371  0.0446  0.07
Duchoud 2007   60  0.3959  0.0053  0.0663  0.0654  0.0561  0.05
Ezaki 2006   16  0.5343  0.0025  0.0819  0.4851  0.0619  0.17
Falvay 1989   2  0.625  0.033  0.222  0.6810  0.532  0.60
Farrell 1958   30  0.4849  0.0022  0.1025  0.4666  0.0521  0.15
Ferenczy 1958   59  0.3963  0.0067  0.0569  0.0564  0.0372  0.04
Fliere 1977   27  0.4967  0.0034  0.1234  0.3383  0.0336  0.10
Fou 1978   18  0.5223  0.0016  0.0815  0.5265  0.0424  0.14
Francois 1956   58  0.4075  0.0058  0.0946  0.0969  0.0454  0.06
Friedman 1923   87  0.2481  0.0087  0.0382  0.0376  0.0486  0.03
Friedman 1923b   86  0.2489  0.0086  0.0384  0.0374  0.0483  0.03
Friedman 1930   85  0.2590  0.0088  0.0381  0.0372  0.0481  0.03
Garcia 2007   42  0.4436  0.0033  0.1229  0.3661  0.0434  0.12
Garcia 2007b   49  0.4354  0.0052  0.0568  0.0556  0.0478  0.04
Gierzod 1998   12  0.5418  0.0115  0.0818  0.5069  0.0431  0.14
Gornostaeva 1994   32  0.4756  0.0044  0.0642  0.1486  0.0353  0.06
Groot 1988   14  0.5428  0.0012  0.1516  0.5230  0.239  0.35
Harasiewicz 1955   23  0.5024  0.0029  0.0924  0.4679  0.0335  0.12
Hatto 1993   68  0.3766  0.0061  0.0659  0.0676  0.0377  0.04
Hatto 1997   64  0.3848  0.0059  0.0848  0.0888  0.0360  0.05
Horowitz 1949   69  0.3664  0.0072  0.0478  0.0473  0.0468  0.04
Indjic 1988   66  0.3844  0.0060  0.0849  0.0887  0.0359  0.05
Kapell 1951   11  0.5513  0.0119  0.1017  0.5161  0.0425  0.14
Kissin 1993   13  0.5430  0.0017  0.0913  0.5560  0.0520  0.17
Kushner 1989   7  0.5721  0.009  0.209  0.5947  0.0917  0.23
Luisada 1991   44  0.4378  0.0037  0.0640  0.1567  0.0438  0.08
Lushtak 2004   19  0.5217  0.0113  0.1214  0.5442  0.1314  0.26
Malcuzynski 1961   46  0.4347  0.0043  0.0645  0.1184  0.0350  0.06
Magaloff 1978   34  0.4755  0.0038  0.0538  0.1857  0.0439  0.08
Magin 1975   41  0.4450  0.0049  0.0564  0.0567  0.0466  0.04
Michalowski 1933   88  0.2379  0.0082  0.0286  0.0286  0.0387  0.02
Milkina 1970   4  0.592  0.082  0.314  0.6536  0.325  0.46
Mohovich 1999   1  0.641  0.551  0.541  0.7416  0.591  0.66
Moravec 1969   55  0.4145  0.0065  0.0847  0.0877  0.0355  0.05
Morozova 2008   24  0.494  0.0411  0.1411  0.5645  0.1016  0.24
Neighaus 1950   67  0.3770  0.0070  0.0574  0.0562  0.0562  0.05
Niedzielski 1931   72  0.3432  0.0076  0.0573  0.0560  0.0557  0.05
Ohlsson 1999   28  0.4922  0.0032  0.1522  0.4657  0.0522  0.15
Osinska 1989   5  0.5827  0.007  0.168  0.6056  0.0618  0.19
Pachmann 1927   40  0.4420  0.0050  0.0567  0.0521  0.3928  0.14
Paderewski 1930   76  0.3191  0.0073  0.0576  0.0569  0.0370  0.04
Perlemuter 1992   36  0.4646  0.0045  0.0644  0.1271  0.0444  0.07
Pierdomenico 2008   31  0.4814  0.0121  0.0830  0.3630  0.3210  0.34
Poblocka 1999   38  0.4529  0.0051  0.0565  0.0575  0.0464  0.04
Rabcewiczowa 1932   50  0.4282  0.0039  0.0537  0.2182  0.0340  0.08
Rachmaninoff 1923   79  0.2983  0.0075  0.0572  0.0575  0.0465  0.04
Rangell 2001   37  0.4553  0.0014  0.1132  0.3433  0.2912  0.31
Richter 1976   70  0.368  0.0268  0.0575  0.0565  0.0469  0.04
Rosen 1989   6  0.579  0.015  0.256  0.6331  0.287  0.42
Rosenthal 1930   83  0.2676  0.0085  0.0287  0.0286  0.0289  0.02
Rosenthal 1931   77  0.3060  0.0079  0.0479  0.0485  0.0379  0.03
Rosenthal 1931b   82  0.2858  0.0081  0.0288  0.0287  0.0291  0.02
Rosenthal 1931c   78  0.3084  0.0080  0.0480  0.0485  0.0285  0.03
Rosenthal 1931d   84  0.2685  0.0084  0.0383  0.0387  0.0290  0.02
Rossi 2007   43  0.446  0.0323  0.0931  0.3529  0.3211  0.33
Rubinstein 1939   26  0.4934  0.0031  0.1320  0.4841  0.1513  0.27
Rubinstein 1952   9  0.5611  0.0110  0.217  0.6130  0.356  0.46
Rubinstein 1966   8  0.573  0.054  0.193  0.6528  0.384  0.50
Schilhawsky 1960   80  0.2880  0.0083  0.0385  0.0375  0.0480  0.03
Shebanova 2002   15  0.5333  0.0026  0.1123  0.4652  0.0523  0.15
Smith 1975   54  0.4277  0.0063  0.0658  0.0659  0.0456  0.05
Sokolov 2002   48  0.4315  0.0136  0.0936  0.2880  0.0337  0.09
Sztompka 1959   51  0.4271  0.0054  0.0657  0.0686  0.0371  0.04
Tomsic 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1932   73  0.3368  0.0074  0.0571  0.0587  0.0282  0.03
Uninsky 1971   52  0.4269  0.0064  0.0755  0.0785  0.0458  0.05
Wasowski 1980   35  0.4612  0.0146  0.0752  0.0755  0.0648  0.06
Zak 1937   21  0.5186  0.0030  0.1228  0.3960  0.0526  0.14
Zak 1951   22  0.5010  0.0120  0.0827  0.4062  0.0527  0.14
Average   3  0.5916  0.018  0.175  0.6478  0.0330  0.14
Random 1   90  -0.0457  0.0089  0.0289  0.0220  0.3042  0.08
Random 2   91  -0.0972  0.0091  0.0191  0.0169  0.0388  0.02
Random 3   89  -0.0487  0.0090  0.0290  0.0225  0.2545  0.07

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).