Lushtak 2004

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   36  0.5082  0.0047  0.0554  0.0560  0.0480  0.04
Anderszewski 2003   57  0.4342  0.0012  0.0932  0.2718  0.4726  0.36
Ashkenazy 1981   8  0.6132  0.0013  0.129  0.5423  0.3617  0.44
Bacha 2000   68  0.4056  0.0075  0.0383  0.0337  0.2359  0.08
Badura 1965   59  0.4264  0.0042  0.0641  0.1415  0.4036  0.24
Barbosa 1983   12  0.5926  0.0018  0.0911  0.525  0.587  0.55
Biret 1990   38  0.5052  0.0031  0.0929  0.3313  0.5021  0.41
Blet 2003   25  0.5545  0.0030  0.0722  0.4014  0.4320  0.41
Block 1995   73  0.3868  0.0069  0.0470  0.0454  0.0481  0.04
Blumental 1952   72  0.3853  0.0045  0.0445  0.0840  0.1654  0.11
Boshniakovich 1969   18  0.574  0.0520  0.0927  0.3519  0.5019  0.42
Brailowsky 1960   53  0.4583  0.0070  0.0464  0.0442  0.1067  0.06
Bunin 1987   2  0.6517  0.012  0.132  0.623  0.614  0.61
Bunin 1987b   3  0.6565  0.003  0.133  0.623  0.613  0.61
Chiu 1999   34  0.5233  0.0046  0.0459  0.0432  0.2952  0.11
Cohen 1997   63  0.4039  0.0068  0.0461  0.0412  0.4748  0.14
Cortot 1951   49  0.4646  0.0044  0.0543  0.1027  0.3142  0.18
Csalog 1996   66  0.4014  0.0164  0.0552  0.0521  0.4345  0.15
Czerny 1949   60  0.4184  0.0065  0.0460  0.0440  0.1561  0.08
Czerny 1990   54  0.4579  0.0053  0.0558  0.0559  0.0574  0.05
Duchoud 2007   27  0.5513  0.0110  0.0916  0.4816  0.4714  0.47
Ezaki 2006   4  0.6323  0.008  0.107  0.5611  0.499  0.52
Falvay 1989   21  0.5648  0.0028  0.1524  0.3617  0.3429  0.35
Farrell 1958   37  0.507  0.0249  0.0555  0.055  0.5444  0.16
Ferenczy 1958   39  0.4937  0.0050  0.0556  0.0515  0.4646  0.15
Fliere 1977   20  0.5659  0.0034  0.0828  0.3333  0.2133  0.26
Fou 1978   7  0.612  0.0716  0.1318  0.4614  0.4715  0.46
Francois 1956   50  0.4636  0.0033  0.0736  0.1831  0.2539  0.21
Friedman 1923   86  0.2462  0.0082  0.0380  0.0342  0.1272  0.06
Friedman 1923b   85  0.2443  0.0081  0.0288  0.0244  0.1083  0.04
Friedman 1930   71  0.3927  0.0054  0.0462  0.0423  0.4051  0.13
Garcia 2007   81  0.2985  0.0079  0.0381  0.0338  0.1764  0.07
Garcia 2007b   87  0.2374  0.0088  0.0373  0.0346  0.0686  0.04
Gierzod 1998   26  0.5518  0.0129  0.1025  0.3613  0.4024  0.38
Gornostaeva 1994   52  0.4557  0.0062  0.0468  0.0457  0.0484  0.04
Groot 1988   45  0.4858  0.0057  0.0549  0.0572  0.0385  0.04
Harasiewicz 1955   24  0.5538  0.0023  0.0820  0.4323  0.3125  0.37
Hatto 1993   69  0.3986  0.0063  0.0469  0.0438  0.1762  0.08
Hatto 1997   46  0.4829  0.0021  0.0930  0.3018  0.4327  0.36
Horowitz 1949   58  0.4228  0.0067  0.0550  0.0544  0.0868  0.06
Indjic 1988   62  0.4187  0.0055  0.0465  0.0433  0.2258  0.09
Kapell 1951   19  0.5666  0.0022  0.0917  0.4816  0.4613  0.47
Kissin 1993   22  0.5634  0.0035  0.0831  0.3030  0.3132  0.30
Kushner 1989   41  0.4944  0.0043  0.0444  0.1040  0.1649  0.13
Luisada 1991   51  0.4677  0.0061  0.0466  0.0457  0.0576  0.04
Lushtak 2004   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Malcuzynski 1961   14  0.5910  0.0225  0.0813  0.5030  0.2923  0.38
Magaloff 1978   30  0.533  0.064  0.1119  0.4424  0.2730  0.34
Magin 1975   75  0.3888  0.0074  0.0374  0.0349  0.0678  0.04
Michalowski 1933   80  0.3067  0.0072  0.0378  0.0353  0.0579  0.04
Milkina 1970   74  0.3889  0.0076  0.0386  0.0384  0.0390  0.03
Mohovich 1999   16  0.5820  0.0027  0.1123  0.3819  0.4322  0.40
Moravec 1969   76  0.3549  0.0080  0.0379  0.0369  0.0487  0.03
Morozova 2008   23  0.5516  0.0136  0.0833  0.2334  0.1440  0.18
Neighaus 1950   5  0.6212  0.0114  0.096  0.5820  0.4511  0.51
Niedzielski 1931   84  0.2575  0.0083  0.0385  0.0370  0.0389  0.03
Ohlsson 1999   11  0.5960  0.0019  0.1010  0.5311  0.4612  0.49
Osinska 1989   47  0.4731  0.0052  0.0548  0.0536  0.1556  0.09
Pachmann 1927   42  0.499  0.0217  0.0934  0.2318  0.4731  0.33
Paderewski 1930   43  0.4940  0.0039  0.0642  0.1412  0.4534  0.25
Perlemuter 1992   33  0.5269  0.0038  0.0737  0.1727  0.3237  0.23
Pierdomenico 2008   61  0.4150  0.0071  0.0371  0.0349  0.0677  0.04
Poblocka 1999   13  0.5919  0.016  0.138  0.556  0.538  0.54
Rabcewiczowa 1932   65  0.4080  0.0066  0.0647  0.0628  0.3247  0.14
Rachmaninoff 1923   67  0.4078  0.0060  0.0553  0.0543  0.1163  0.07
Rangell 2001   55  0.4421  0.0058  0.0463  0.0429  0.2655  0.10
Richter 1976   32  0.5261  0.0040  0.0540  0.1516  0.3735  0.24
Rosen 1989   44  0.4855  0.0059  0.0551  0.0576  0.0382  0.04
Rosenthal 1930   77  0.3390  0.0078  0.0376  0.0343  0.1170  0.06
Rosenthal 1931   78  0.3172  0.0084  0.0382  0.0341  0.1269  0.06
Rosenthal 1931b   79  0.3081  0.0085  0.0372  0.0341  0.1566  0.07
Rosenthal 1931c   70  0.3941  0.0073  0.0375  0.0342  0.1371  0.06
Rosenthal 1931d   82  0.2870  0.0086  0.0377  0.0342  0.0975  0.05
Rossi 2007   83  0.2635  0.0077  0.0384  0.0324  0.2757  0.09
Rubinstein 1939   88  0.2251  0.0087  0.0287  0.0250  0.0588  0.03
Rubinstein 1952   56  0.445  0.0326  0.0739  0.1633  0.1943  0.17
Rubinstein 1966   40  0.4922  0.0056  0.0557  0.0526  0.3350  0.13
Schilhawsky 1960   15  0.586  0.025  0.1015  0.486  0.5710  0.52
Shebanova 2002   28  0.5525  0.0037  0.0735  0.1942  0.1841  0.18
Smith 1975   9  0.6030  0.007  0.104  0.618  0.515  0.56
Sokolov 2002   29  0.5491  0.0032  0.0626  0.3527  0.3528  0.35
Sztompka 1959   35  0.5073  0.0051  0.0646  0.0638  0.2153  0.11
Tomsic 1995   6  0.6111  0.0115  0.1014  0.4913  0.4016  0.44
Uninsky 1932   48  0.4647  0.0041  0.0638  0.1726  0.2538  0.21
Uninsky 1971   31  0.538  0.029  0.1321  0.4323  0.4218  0.42
Wasowski 1980   64  0.4076  0.0048  0.0467  0.0440  0.1760  0.08
Zak 1937   17  0.5824  0.0024  0.0912  0.526  0.586  0.55
Zak 1951   10  0.6015  0.0111  0.095  0.604  0.652  0.62
Average   1  0.721  0.541  0.531  0.819  0.511  0.64
Random 1   91  -0.0471  0.0091  0.0191  0.0168  0.0391  0.02
Random 2   90  -0.0463  0.0090  0.0290  0.0242  0.1173  0.05
Random 3   89  0.0454  0.0089  0.0289  0.0233  0.2465  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).