Shebanova 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   11  0.7456  0.0015  0.1014  0.5019  0.4214  0.46
Anderszewski 2003   72  0.5282  0.0077  0.0846  0.0848  0.0566  0.06
Ashkenazy 1981   15  0.7039  0.0014  0.1012  0.5113  0.4711  0.49
Bacha 2000   29  0.6586  0.0027  0.0923  0.327  0.5019  0.40
Badura 1965   59  0.5841  0.0043  0.0544  0.1121  0.3737  0.20
Barbosa 1983   73  0.5255  0.0059  0.0386  0.0326  0.2656  0.09
Biret 1990   19  0.6973  0.0026  0.0919  0.4125  0.2724  0.33
Blet 2003   32  0.6577  0.0061  0.0557  0.0550  0.0571  0.05
Block 1995   60  0.5753  0.0071  0.0549  0.0526  0.2750  0.12
Blumental 1952   71  0.5351  0.0056  0.0467  0.0436  0.1561  0.08
Boshniakovich 1969   16  0.7030  0.0024  0.0921  0.3414  0.5118  0.42
Brailowsky 1960   26  0.6531  0.0050  0.0469  0.0427  0.3351  0.11
Bunin 1987   78  0.4632  0.0079  0.0551  0.0570  0.0485  0.04
Bunin 1987b   79  0.4659  0.0078  0.0554  0.0567  0.0480  0.04
Chiu 1999   36  0.6416  0.0121  0.0918  0.427  0.5512  0.48
Cohen 1997   81  0.4557  0.0076  0.0647  0.0615  0.3243  0.14
Cortot 1951   43  0.6252  0.0055  0.0380  0.0335  0.2062  0.08
Csalog 1996   46  0.617  0.0320  0.0930  0.264  0.5622  0.38
Czerny 1949   44  0.6221  0.0130  0.0632  0.2560  0.0552  0.11
Czerny 1990   17  0.7034  0.0031  0.0722  0.3240  0.1139  0.19
Duchoud 2007   54  0.6018  0.0141  0.0835  0.1832  0.3134  0.24
Ezaki 2006   23  0.6648  0.0054  0.0648  0.0668  0.0470  0.05
Falvay 1989   39  0.6328  0.0067  0.0464  0.0443  0.1559  0.08
Farrell 1958   50  0.6014  0.0166  0.0473  0.0459  0.0579  0.04
Ferenczy 1958   63  0.5683  0.0074  0.0462  0.0448  0.0672  0.05
Fliere 1977   4  0.785  0.035  0.223  0.638  0.525  0.57
Fou 1978   20  0.6867  0.0013  0.0915  0.4715  0.4116  0.44
Francois 1956   37  0.6363  0.0040  0.0740  0.1636  0.2240  0.19
Friedman 1923   88  0.2961  0.0088  0.0476  0.0447  0.0869  0.06
Friedman 1923b   87  0.2969  0.0087  0.0475  0.0447  0.0773  0.05
Friedman 1930   85  0.3965  0.0082  0.0379  0.0350  0.0683  0.04
Garcia 2007   69  0.5387  0.0073  0.0555  0.0539  0.1757  0.09
Garcia 2007b   82  0.4579  0.0060  0.0381  0.0316  0.2558  0.09
Gierzod 1998   3  0.794  0.063  0.185  0.616  0.594  0.60
Gornostaeva 1994   35  0.6476  0.0063  0.0382  0.0349  0.0586  0.04
Groot 1988   25  0.6549  0.0046  0.0465  0.0434  0.2754  0.10
Harasiewicz 1955   67  0.5464  0.0058  0.0468  0.0468  0.0389  0.03
Hatto 1993   70  0.5345  0.0018  0.1027  0.3016  0.3625  0.33
Hatto 1997   65  0.5442  0.0025  0.0831  0.2628  0.2233  0.24
Horowitz 1949   55  0.6015  0.0147  0.0461  0.0420  0.4345  0.13
Indjic 1988   64  0.5536  0.0017  0.1126  0.3119  0.3327  0.32
Kapell 1951   30  0.6537  0.0044  0.0543  0.1341  0.1344  0.13
Kissin 1993   2  0.811  0.291  0.292  0.681  0.741  0.71
Kushner 1989   6  0.7726  0.009  0.156  0.612  0.632  0.62
Luisada 1991   22  0.678  0.026  0.1716  0.4619  0.4515  0.45
Lushtak 2004   24  0.6622  0.0132  0.0728  0.2837  0.1538  0.20
Malcuzynski 1961   45  0.6225  0.0069  0.0556  0.0563  0.0481  0.04
Magaloff 1978   33  0.6412  0.0149  0.0470  0.0445  0.1263  0.07
Magin 1975   48  0.6166  0.0028  0.1124  0.3129  0.2231  0.26
Michalowski 1933   68  0.5370  0.0065  0.0559  0.0534  0.2848  0.12
Milkina 1970   7  0.7727  0.007  0.1610  0.555  0.576  0.56
Mohovich 1999   14  0.7024  0.0033  0.0733  0.2139  0.1641  0.18
Moravec 1969   62  0.5762  0.0062  0.0383  0.0329  0.3353  0.10
Morozova 2008   40  0.6319  0.0122  0.0820  0.3518  0.3123  0.33
Neighaus 1950   8  0.7510  0.0116  0.137  0.6111  0.4310  0.51
Niedzielski 1931   56  0.5829  0.0036  0.0637  0.1714  0.4229  0.27
Ohlsson 1999   5  0.782  0.202  0.274  0.612  0.633  0.62
Osinska 1989   10  0.7423  0.0111  0.108  0.579  0.537  0.55
Pachmann 1927   57  0.5850  0.0075  0.0553  0.0521  0.3147  0.12
Paderewski 1930   41  0.6333  0.0029  0.0739  0.1623  0.2935  0.22
Perlemuter 1992   42  0.6375  0.0052  0.0478  0.0443  0.1065  0.06
Pierdomenico 2008   51  0.6044  0.0038  0.0538  0.166  0.5028  0.28
Poblocka 1999   9  0.753  0.1210  0.179  0.567  0.529  0.54
Rabcewiczowa 1932   58  0.5890  0.0070  0.0466  0.0457  0.0478  0.04
Rachmaninoff 1923   76  0.4771  0.0072  0.0552  0.0577  0.0376  0.04
Rangell 2001   52  0.6017  0.0137  0.0636  0.1814  0.4230  0.27
Richter 1976   66  0.5435  0.0048  0.0550  0.0535  0.1855  0.09
Rosen 1989   12  0.7354  0.0019  0.1117  0.4520  0.4217  0.43
Rosenthal 1930   74  0.4881  0.0080  0.0388  0.0377  0.0388  0.03
Rosenthal 1931   84  0.4191  0.0085  0.0477  0.0459  0.0482  0.04
Rosenthal 1931b   83  0.4289  0.0084  0.0385  0.0370  0.0390  0.03
Rosenthal 1931c   75  0.4872  0.0081  0.0384  0.0364  0.0391  0.03
Rosenthal 1931d   80  0.4684  0.0083  0.0558  0.0549  0.0674  0.05
Rossi 2007   86  0.3180  0.0086  0.0387  0.0380  0.0387  0.03
Rubinstein 1939   77  0.4760  0.0051  0.0471  0.0414  0.3646  0.12
Rubinstein 1952   31  0.6568  0.0035  0.0825  0.3117  0.5021  0.39
Rubinstein 1966   27  0.6538  0.0039  0.0641  0.1621  0.4132  0.26
Schilhawsky 1960   47  0.6140  0.0042  0.0542  0.1341  0.2242  0.17
Shebanova 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Smith 1975   28  0.6588  0.0053  0.0460  0.0462  0.0477  0.04
Sokolov 2002   49  0.6158  0.0064  0.0474  0.0458  0.0475  0.04
Sztompka 1959   21  0.6713  0.0134  0.0734  0.2038  0.2236  0.21
Tomsic 1995   38  0.6311  0.0168  0.0463  0.0439  0.1860  0.08
Uninsky 1932   61  0.5743  0.0057  0.0472  0.0445  0.1164  0.07
Uninsky 1971   53  0.6047  0.0045  0.0545  0.1040  0.1549  0.12
Wasowski 1980   34  0.6420  0.0123  0.0729  0.2610  0.3926  0.32
Zak 1937   13  0.729  0.018  0.1911  0.557  0.568  0.55
Zak 1951   18  0.7046  0.0012  0.0913  0.5015  0.4213  0.46
Average   1  0.826  0.034  0.211  0.7133  0.2120  0.39
Random 1   91  -0.0874  0.0091  0.0191  0.0126  0.3268  0.06
Random 2   90  -0.0678  0.0089  0.0289  0.0225  0.2167  0.06
Random 3   89  0.0085  0.0090  0.0190  0.0136  0.1584  0.04

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).