Gornostaeva 1994

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.695  0.047  0.0916  0.4434  0.2623  0.34
Anderszewski 2003   26  0.6524  0.0134  0.0832  0.2623  0.2827  0.27
Ashkenazy 1981   57  0.5574  0.0055  0.0547  0.0576  0.0368  0.04
Bacha 2000   55  0.5520  0.0156  0.0460  0.0442  0.1649  0.08
Badura 1965   65  0.5370  0.0062  0.0366  0.0341  0.1654  0.07
Barbosa 1983   76  0.4735  0.0045  0.0545  0.0935  0.2040  0.13
Biret 1990   25  0.6540  0.0040  0.0639  0.1668  0.0548  0.09
Blet 2003   46  0.6025  0.0151  0.0646  0.0640  0.1252  0.08
Block 1995   33  0.6468  0.0028  0.0731  0.2723  0.3126  0.29
Blumental 1952   83  0.3839  0.0072  0.0368  0.0362  0.0485  0.03
Boshniakovich 1969   11  0.7261  0.0019  0.0724  0.3117  0.4120  0.36
Brailowsky 1960   21  0.6734  0.0041  0.0540  0.1430  0.2935  0.20
Bunin 1987   71  0.5076  0.0067  0.0284  0.0247  0.0686  0.03
Bunin 1987b   73  0.4966  0.0068  0.0458  0.0447  0.0658  0.05
Chiu 1999   77  0.4754  0.0069  0.0379  0.0356  0.0473  0.03
Cohen 1997   88  0.2864  0.0088  0.0461  0.0458  0.0469  0.04
Cortot 1951   54  0.5663  0.0074  0.0285  0.0270  0.0488  0.03
Csalog 1996   80  0.4265  0.0087  0.0380  0.0363  0.0479  0.03
Czerny 1949   18  0.6812  0.0117  0.1021  0.3640  0.1530  0.23
Czerny 1990   14  0.7148  0.0030  0.0814  0.4637  0.1628  0.27
Duchoud 2007   51  0.5719  0.0143  0.0543  0.1037  0.1742  0.13
Ezaki 2006   12  0.7267  0.0015  0.097  0.5321  0.3413  0.42
Falvay 1989   38  0.6311  0.0135  0.0741  0.1436  0.2836  0.20
Farrell 1958   41  0.6178  0.0046  0.0455  0.0447  0.0657  0.05
Ferenczy 1958   59  0.5452  0.0078  0.0286  0.0272  0.0482  0.03
Fliere 1977   7  0.7618  0.0112  0.104  0.5937  0.2418  0.38
Fou 1978   40  0.6113  0.019  0.0912  0.5024  0.3314  0.41
Francois 1956   15  0.717  0.0210  0.1013  0.4812  0.499  0.48
Friedman 1923   84  0.3782  0.0075  0.0378  0.0336  0.2253  0.08
Friedman 1923b   85  0.3787  0.0076  0.0463  0.0438  0.2247  0.09
Friedman 1930   61  0.5472  0.0049  0.0457  0.0419  0.4141  0.13
Garcia 2007   74  0.4984  0.0071  0.0288  0.0264  0.0483  0.03
Garcia 2007b   78  0.4553  0.0057  0.0462  0.0454  0.0570  0.04
Gierzod 1998   13  0.7256  0.0031  0.1122  0.3443  0.1433  0.22
Gornostaeva 1994   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Groot 1988   31  0.6533  0.0016  0.0915  0.4530  0.3715  0.41
Harasiewicz 1955   49  0.5959  0.0023  0.0727  0.2940  0.1238  0.19
Hatto 1993   87  0.3390  0.0084  0.0287  0.0272  0.0487  0.03
Hatto 1997   81  0.3983  0.0081  0.0372  0.0365  0.0481  0.03
Horowitz 1949   60  0.5486  0.0080  0.0370  0.0361  0.0476  0.03
Indjic 1988   86  0.3591  0.0085  0.0364  0.0376  0.0378  0.03
Kapell 1951   47  0.6051  0.0059  0.0551  0.0562  0.0462  0.04
Kissin 1993   27  0.658  0.0120  0.0729  0.2838  0.1537  0.20
Kushner 1989   6  0.7628  0.018  0.098  0.5320  0.447  0.48
Luisada 1991   36  0.6358  0.0037  0.0836  0.1944  0.0843  0.12
Lushtak 2004   72  0.5080  0.0063  0.0456  0.0470  0.0384  0.03
Malcuzynski 1961   4  0.7723  0.014  0.2311  0.517  0.496  0.50
Magaloff 1978   8  0.7427  0.0113  0.109  0.536  0.493  0.51
Magin 1975   22  0.6622  0.0118  0.0717  0.3921  0.2922  0.34
Michalowski 1933   69  0.5344  0.0050  0.0553  0.0548  0.0855  0.06
Milkina 1970   16  0.7050  0.0014  0.0820  0.3824  0.3321  0.35
Mohovich 1999   10  0.733  0.085  0.1510  0.5321  0.438  0.48
Moravec 1969   62  0.5445  0.0083  0.0376  0.0384  0.0371  0.03
Morozova 2008   53  0.5643  0.0047  0.0548  0.0567  0.0465  0.04
Neighaus 1950   9  0.7329  0.016  0.106  0.5618  0.3411  0.44
Niedzielski 1931   50  0.5781  0.0079  0.0382  0.0366  0.0374  0.03
Ohlsson 1999   29  0.6514  0.0139  0.0637  0.1763  0.0451  0.08
Osinska 1989   5  0.7710  0.0111  0.115  0.5715  0.445  0.50
Pachmann 1927   63  0.5449  0.0082  0.0381  0.0369  0.0477  0.03
Paderewski 1930   45  0.6077  0.0058  0.0459  0.0449  0.0463  0.04
Perlemuter 1992   42  0.6117  0.0127  0.0634  0.2431  0.1734  0.20
Pierdomenico 2008   52  0.5760  0.0064  0.0371  0.0351  0.0660  0.04
Poblocka 1999   43  0.6075  0.0065  0.0367  0.0366  0.0472  0.03
Rabcewiczowa 1932   28  0.6526  0.0138  0.0638  0.1623  0.3131  0.22
Rachmaninoff 1923   48  0.5930  0.0036  0.0735  0.2039  0.1339  0.16
Rangell 2001   35  0.6455  0.0022  0.0628  0.2919  0.3725  0.33
Richter 1976   75  0.4779  0.0086  0.0283  0.0268  0.0389  0.02
Rosen 1989   2  0.781  0.311  0.303  0.702  0.641  0.67
Rosenthal 1930   19  0.676  0.0232  0.0825  0.307  0.6212  0.43
Rosenthal 1931   32  0.6547  0.0024  0.0923  0.328  0.6110  0.44
Rosenthal 1931b   37  0.6337  0.0026  0.0726  0.298  0.5416  0.40
Rosenthal 1931c   20  0.6736  0.0025  0.1218  0.395  0.674  0.51
Rosenthal 1931d   24  0.6641  0.0033  0.1133  0.2615  0.4524  0.34
Rossi 2007   70  0.5262  0.0042  0.0542  0.115  0.4929  0.23
Rubinstein 1939   82  0.3831  0.0073  0.0373  0.0351  0.0561  0.04
Rubinstein 1952   79  0.4521  0.0160  0.0374  0.0345  0.1156  0.06
Rubinstein 1966   58  0.5438  0.0052  0.0550  0.0543  0.1545  0.09
Schilhawsky 1960   67  0.5373  0.0066  0.0377  0.0368  0.0480  0.03
Shebanova 2002   34  0.6469  0.0053  0.0549  0.0582  0.0367  0.04
Smith 1975   3  0.784  0.063  0.262  0.713  0.612  0.66
Sokolov 2002   30  0.659  0.0129  0.0819  0.3820  0.4017  0.39
Sztompka 1959   23  0.6616  0.0121  0.0630  0.2741  0.1832  0.22
Tomsic 1995   39  0.6146  0.0054  0.0552  0.0530  0.3044  0.12
Uninsky 1932   66  0.5342  0.0070  0.0369  0.0354  0.0666  0.04
Uninsky 1971   68  0.5357  0.0077  0.0365  0.0365  0.0564  0.04
Wasowski 1980   44  0.6015  0.0144  0.0544  0.1049  0.0650  0.08
Zak 1937   56  0.5571  0.0061  0.0375  0.0370  0.0475  0.03
Zak 1951   64  0.5432  0.0048  0.0554  0.0562  0.0559  0.05
Average   1  0.802  0.222  0.281  0.7837  0.1719  0.36
Random 1   90  -0.1385  0.0090  0.0190  0.0163  0.0490  0.02
Random 2   91  -0.2088  0.0091  0.0191  0.0187  0.0291  0.01
Random 3   89  0.0189  0.0089  0.0289  0.0215  0.3746  0.09

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).