Gornostaeva 1994

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   34  0.3034  0.0031  0.0830  0.3944  0.1633  0.25
Anderszewski 2003   47  0.2724  0.0037  0.1038  0.2832  0.2532  0.26
Ashkenazy 1981   73  0.1669  0.0079  0.0286  0.0279  0.0484  0.03
Bacha 2000   61  0.2070  0.0066  0.0560  0.0564  0.0555  0.05
Badura 1965   72  0.1671  0.0067  0.0465  0.0454  0.0471  0.04
Barbosa 1983   59  0.2086  0.0054  0.0555  0.0584  0.0368  0.04
Biret 1990   15  0.4317  0.0116  0.1121  0.5910  0.6712  0.63
Blet 2003   83  0.1272  0.0082  0.0287  0.0278  0.0388  0.02
Block 1995   22  0.3847  0.0026  0.1322  0.5642  0.1528  0.29
Blumental 1952   77  0.1556  0.0069  0.0370  0.0381  0.0383  0.03
Boshniakovich 1969   54  0.2463  0.0040  0.0840  0.2148  0.0745  0.12
Brailowsky 1960   39  0.2820  0.0038  0.1435  0.3140  0.2431  0.27
Bunin 1987   70  0.1645  0.0075  0.0372  0.0356  0.0672  0.04
Bunin 1987b   71  0.1653  0.0076  0.0468  0.0466  0.0465  0.04
Chiu 1999   30  0.3236  0.0057  0.0559  0.0573  0.0460  0.04
Cohen 1997   10  0.479  0.0210  0.1112  0.668  0.6410  0.65
Cortot 1951   12  0.4722  0.0012  0.1414  0.653  0.739  0.69
Csalog 1996   28  0.3337  0.0050  0.0847  0.0845  0.1446  0.11
Czerny 1949   8  0.4919  0.0011  0.119  0.735  0.864  0.79
Czerny 1990   76  0.1564  0.0077  0.0380  0.0364  0.0573  0.04
Duchoud 2007   33  0.3125  0.0035  0.1131  0.3950  0.0737  0.17
Ezaki 2006   16  0.4118  0.0015  0.1317  0.6316  0.6411  0.63
Falvay 1989   31  0.3243  0.0028  0.1028  0.4534  0.2226  0.31
Farrell 1958   35  0.3048  0.0034  0.0837  0.2940  0.1736  0.22
Ferenczy 1958   36  0.3046  0.0032  0.1029  0.4515  0.7516  0.58
Fliere 1977   29  0.3332  0.0047  0.0750  0.0764  0.0552  0.06
Fou 1978   48  0.2678  0.0048  0.0749  0.0767  0.0456  0.05
Francois 1956   9  0.4840  0.009  0.178  0.774  0.787  0.77
Friedman 1923   75  0.1561  0.0083  0.0288  0.0279  0.0390  0.02
Friedman 1923b   81  0.1449  0.0084  0.0378  0.0379  0.0385  0.03
Friedman 1930   55  0.2214  0.0158  0.0462  0.0459  0.0658  0.05
Garcia 2007   79  0.1473  0.0053  0.0556  0.0578  0.0370  0.04
Garcia 2007b   88  0.0687  0.0091  0.0191  0.0187  0.0291  0.01
Gierzod 1998   51  0.2538  0.0029  0.1127  0.4528  0.4023  0.42
Gornostaeva 1994   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Groot 1988   26  0.367  0.0222  0.1820  0.5939  0.2025  0.34
Harasiewicz 1955   13  0.453  0.105  0.1710  0.7110  0.5514  0.62
Hatto 1993   64  0.1850  0.0065  0.0463  0.0479  0.0474  0.04
Hatto 1997   27  0.3381  0.0033  0.0736  0.3051  0.0640  0.13
Horowitz 1949   66  0.1762  0.0080  0.0284  0.0258  0.0677  0.03
Indjic 1988   82  0.1382  0.0072  0.0373  0.0376  0.0481  0.03
Kapell 1951   74  0.1551  0.0081  0.0379  0.0370  0.0564  0.04
Kissin 1993   89  0.0465  0.0088  0.0283  0.0277  0.0580  0.03
Kushner 1989   38  0.2866  0.0055  0.0554  0.0577  0.0463  0.04
Luisada 1991   60  0.2088  0.0071  0.0374  0.0377  0.0475  0.03
Lushtak 2004   44  0.2757  0.0046  0.0651  0.0662  0.0559  0.05
Malcuzynski 1961   57  0.2174  0.0060  0.0461  0.0472  0.0466  0.04
Magaloff 1978   14  0.4510  0.0118  0.1316  0.6421  0.4719  0.55
Magin 1975   63  0.1952  0.0068  0.0375  0.0357  0.0662  0.04
Michalowski 1933   56  0.2254  0.0063  0.0558  0.0564  0.0657  0.05
Milkina 1970   43  0.2758  0.0024  0.1224  0.5322  0.4620  0.49
Mohovich 1999   19  0.4013  0.0120  0.1618  0.6217  0.5018  0.56
Moravec 1969   46  0.2726  0.0030  0.1034  0.3540  0.1734  0.24
Morozova 2008   32  0.3221  0.0036  0.1032  0.3575  0.0443  0.12
Neighaus 1950   11  0.4715  0.0113  0.2113  0.6523  0.3621  0.48
Niedzielski 1931   80  0.1475  0.0078  0.0285  0.0279  0.0386  0.02
Ohlsson 1999   17  0.4127  0.0023  0.1233  0.3575  0.0441  0.12
Osinska 1989   1  0.621  0.421  0.421  0.881  0.852  0.86
Pachmann 1927   62  0.1976  0.0074  0.0376  0.0378  0.0479  0.03
Paderewski 1930   78  0.1459  0.0070  0.0467  0.0478  0.0378  0.03
Perlemuter 1992   18  0.4029  0.0021  0.1611  0.6630  0.5017  0.57
Pierdomenico 2008   53  0.2479  0.0059  0.0464  0.0467  0.0461  0.04
Poblocka 1999   42  0.2833  0.0049  0.0846  0.0859  0.0553  0.06
Rabcewiczowa 1932   2  0.622  0.182  0.352  0.841  0.901  0.87
Rachmaninoff 1923   52  0.2430  0.0044  0.0744  0.1748  0.0647  0.10
Rangell 2001   49  0.2667  0.0027  0.1126  0.4740  0.1829  0.29
Richter 1976   41  0.2844  0.0062  0.0466  0.0462  0.0567  0.04
Rosen 1989   4  0.568  0.024  0.323  0.824  0.765  0.79
Rosenthal 1930   21  0.3835  0.0019  0.1419  0.6011  0.6413  0.62
Rosenthal 1931   65  0.1860  0.0052  0.0652  0.0642  0.2342  0.12
Rosenthal 1931b   67  0.1783  0.0056  0.0653  0.0641  0.1550  0.09
Rosenthal 1931c   40  0.2884  0.0041  0.0739  0.2331  0.3927  0.30
Rosenthal 1931d   69  0.1616  0.0142  0.0642  0.1925  0.4230  0.28
Rossi 2007   24  0.3712  0.0139  0.0941  0.215  0.6224  0.36
Rubinstein 1939   20  0.4031  0.0014  0.1623  0.5511  0.4022  0.47
Rubinstein 1952   23  0.3841  0.0017  0.1215  0.6514  0.5615  0.60
Rubinstein 1966   25  0.3755  0.0025  0.1425  0.5368  0.0439  0.15
Schilhawsky 1960   85  0.0980  0.0089  0.0289  0.0285  0.0289  0.02
Shebanova 2002   68  0.1728  0.0085  0.0381  0.0384  0.0382  0.03
Smith 1975   3  0.574  0.073  0.257  0.773  0.823  0.79
Sokolov 2002   5  0.5411  0.017  0.266  0.782  0.776  0.77
Sztompka 1959   37  0.2923  0.0045  0.0845  0.1744  0.1438  0.15
Tomsic 1995   50  0.2585  0.0043  0.0743  0.1854  0.0548  0.09
Uninsky 1932   58  0.2077  0.0061  0.0557  0.0576  0.0469  0.04
Uninsky 1971   7  0.516  0.026  0.205  0.792  0.688  0.73
Wasowski 1980   45  0.2789  0.0051  0.0848  0.0870  0.0551  0.06
Zak 1937   86  0.0990  0.0087  0.0282  0.0278  0.0387  0.02
Zak 1951   84  0.1068  0.0086  0.0377  0.0381  0.0376  0.03
Average   6  0.535  0.038  0.244  0.8147  0.0735  0.24
Random 1   90  0.0091  0.0073  0.0371  0.0325  0.2949  0.09
Random 2   87  0.0642  0.0064  0.0369  0.0311  0.4744  0.12
Random 3   91  -0.0139  0.0090  0.0190  0.0120  0.3554  0.06

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).