Gornostaeva 1994

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   29  0.5549  0.0040  0.0536  0.1663  0.0554  0.09
Anderszewski 2003   2  0.673  0.093  0.162  0.729  0.571  0.64
Ashkenazy 1981   58  0.5037  0.0048  0.0451  0.0447  0.0770  0.05
Bacha 2000   75  0.4528  0.0060  0.0373  0.0362  0.0485  0.03
Badura 1965   63  0.4977  0.0065  0.0386  0.0348  0.0868  0.05
Barbosa 1983   68  0.4887  0.0038  0.0739  0.1533  0.2626  0.20
Biret 1990   41  0.5356  0.0026  0.0928  0.3180  0.0351  0.10
Blet 2003   52  0.5161  0.0072  0.0368  0.0355  0.0579  0.04
Block 1995   38  0.5330  0.0027  0.1027  0.3120  0.3617  0.33
Blumental 1952   65  0.4848  0.0034  0.0638  0.1648  0.0650  0.10
Boshniakovich 1969   4  0.678  0.055  0.144  0.7119  0.513  0.60
Brailowsky 1960   47  0.5373  0.0075  0.0378  0.0346  0.0967  0.05
Bunin 1987   81  0.4363  0.0057  0.0365  0.0332  0.3055  0.09
Bunin 1987b   84  0.4243  0.0064  0.0372  0.0331  0.3053  0.09
Chiu 1999   79  0.4476  0.0076  0.0382  0.0356  0.0572  0.04
Cohen 1997   87  0.3342  0.0086  0.0377  0.0349  0.0583  0.04
Cortot 1951   73  0.4662  0.0085  0.0387  0.0360  0.0584  0.04
Csalog 1996   78  0.4471  0.0063  0.0363  0.0337  0.1563  0.07
Czerny 1949   17  0.6027  0.0029  0.1024  0.3344  0.1525  0.22
Czerny 1990   15  0.6132  0.0020  0.0813  0.5255  0.0628  0.18
Duchoud 2007   82  0.4335  0.0045  0.0454  0.0427  0.2648  0.10
Ezaki 2006   18  0.5982  0.0028  0.0725  0.3356  0.0538  0.13
Falvay 1989   26  0.574  0.0913  0.1029  0.2913  0.5011  0.38
Farrell 1958   67  0.4878  0.0071  0.0375  0.0360  0.0675  0.04
Ferenczy 1958   33  0.5469  0.0070  0.0546  0.0522  0.3936  0.14
Fliere 1977   9  0.655  0.0811  0.198  0.5841  0.1718  0.31
Fou 1978   23  0.5813  0.0117  0.0918  0.4351  0.0531  0.15
Francois 1956   32  0.5429  0.0051  0.0448  0.0430  0.3543  0.12
Friedman 1923   53  0.5155  0.0062  0.0364  0.0336  0.2756  0.09
Friedman 1923b   54  0.5141  0.0058  0.0371  0.0338  0.2262  0.08
Friedman 1930   28  0.5672  0.0046  0.0455  0.0422  0.4635  0.14
Garcia 2007   40  0.5339  0.0066  0.0383  0.0331  0.3149  0.10
Garcia 2007b   22  0.5815  0.0124  0.1622  0.3524  0.3912  0.37
Gierzod 1998   1  0.682  0.152  0.201  0.7426  0.445  0.57
Gornostaeva 1994   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Groot 1988   80  0.4467  0.0031  0.0932  0.2145  0.0742  0.12
Harasiewicz 1955   16  0.6033  0.0021  0.0926  0.3247  0.0637  0.14
Hatto 1993   74  0.4675  0.0055  0.0362  0.0373  0.0490  0.03
Hatto 1997   72  0.4786  0.0056  0.0360  0.0378  0.0487  0.03
Horowitz 1949   83  0.4364  0.0084  0.0374  0.0368  0.0576  0.04
Indjic 1988   69  0.4779  0.0054  0.0358  0.0379  0.0386  0.03
Kapell 1951   21  0.5822  0.0023  0.1115  0.5141  0.1519  0.28
Kissin 1993   25  0.5754  0.0035  0.0733  0.2152  0.0645  0.11
Kushner 1989   12  0.6220  0.0114  0.0912  0.5638  0.2315  0.36
Luisada 1991   19  0.5910  0.0215  0.1210  0.5723  0.3310  0.43
Lushtak 2004   59  0.5040  0.0050  0.0545  0.0554  0.0569  0.05
Malcuzynski 1961   10  0.646  0.074  0.1416  0.4912  0.479  0.48
Magaloff 1978   20  0.5846  0.0030  0.0823  0.3515  0.3814  0.36
Magin 1975   3  0.671  0.171  0.173  0.716  0.562  0.63
Michalowski 1933   44  0.5390  0.0069  0.0547  0.0525  0.3040  0.12
Milkina 1970   7  0.659  0.037  0.156  0.6022  0.487  0.54
Mohovich 1999   30  0.5544  0.0032  0.0731  0.2445  0.1130  0.16
Moravec 1969   60  0.5016  0.0174  0.0381  0.0333  0.2257  0.08
Morozova 2008   64  0.4831  0.0077  0.0384  0.0362  0.0581  0.04
Neighaus 1950   24  0.5759  0.0042  0.0542  0.1370  0.0465  0.07
Niedzielski 1931   37  0.5423  0.0039  0.0535  0.1636  0.2027  0.18
Ohlsson 1999   36  0.5426  0.0043  0.0543  0.1048  0.0661  0.08
Osinska 1989   5  0.667  0.0510  0.1611  0.5636  0.2313  0.36
Pachmann 1927   42  0.5351  0.0082  0.0367  0.039  0.4939  0.12
Paderewski 1930   76  0.4568  0.0080  0.0366  0.0334  0.2160  0.08
Perlemuter 1992   50  0.5258  0.0049  0.0450  0.0437  0.1758  0.08
Pierdomenico 2008   86  0.3983  0.0087  0.0452  0.0460  0.0573  0.04
Poblocka 1999   27  0.5647  0.0041  0.0640  0.1561  0.0552  0.09
Rabcewiczowa 1932   31  0.5417  0.0125  0.0919  0.4139  0.1621  0.26
Rachmaninoff 1923   46  0.5380  0.0036  0.0537  0.1671  0.0459  0.08
Rangell 2001   51  0.5257  0.0033  0.0634  0.1719  0.3922  0.26
Richter 1976   77  0.4488  0.0083  0.0361  0.0353  0.0577  0.04
Rosen 1989   8  0.6518  0.016  0.177  0.5913  0.498  0.54
Rosenthal 1930   39  0.5365  0.0067  0.0380  0.0323  0.4346  0.11
Rosenthal 1931   48  0.5384  0.0068  0.0456  0.0414  0.5234  0.14
Rosenthal 1931b   49  0.5381  0.0047  0.0449  0.0410  0.5933  0.15
Rosenthal 1931c   45  0.5334  0.0044  0.0444  0.0911  0.5924  0.23
Rosenthal 1931d   56  0.5045  0.0073  0.0379  0.0316  0.5141  0.12
Rossi 2007   61  0.4924  0.0052  0.0453  0.0429  0.3244  0.11
Rubinstein 1939   66  0.4850  0.0059  0.0376  0.0347  0.0674  0.04
Rubinstein 1952   85  0.4152  0.0053  0.0359  0.0345  0.0771  0.05
Rubinstein 1966   57  0.5038  0.0037  0.0641  0.1447  0.0747  0.10
Schilhawsky 1960   71  0.4774  0.0079  0.0457  0.0455  0.0580  0.04
Shebanova 2002   14  0.6114  0.0112  0.1214  0.5254  0.0529  0.16
Smith 1975   6  0.6625  0.008  0.195  0.616  0.554  0.58
Sokolov 2002   43  0.5311  0.0222  0.0921  0.3723  0.3216  0.34
Sztompka 1959   13  0.6212  0.0119  0.0817  0.4457  0.0532  0.15
Tomsic 1995   70  0.4766  0.0081  0.0385  0.0341  0.1466  0.06
Uninsky 1932   55  0.5136  0.0061  0.0370  0.0353  0.0582  0.04
Uninsky 1971   62  0.4960  0.0078  0.0369  0.0368  0.0578  0.04
Wasowski 1980   11  0.6219  0.019  0.159  0.578  0.566  0.56
Zak 1937   34  0.5453  0.0018  0.0830  0.2937  0.1823  0.23
Zak 1951   35  0.5421  0.0116  0.1120  0.3735  0.1920  0.27
Random 1   88  -0.0589  0.0088  0.0288  0.0224  0.2564  0.07
Random 2   90  -0.1485  0.0090  0.0190  0.0142  0.0888  0.03
Random 3   89  -0.0770  0.0089  0.0289  0.0268  0.0489  0.03

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).