Morozova 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   15  0.6318  0.017  0.0811  0.2921  0.3012  0.29
Anderszewski 2003   46  0.5476  0.0064  0.0458  0.0437  0.1562  0.08
Ashkenazy 1981   31  0.5914  0.0229  0.0529  0.1745  0.1042  0.13
Bacha 2000   83  0.2961  0.0074  0.0378  0.0341  0.1168  0.06
Badura 1965   28  0.6010  0.0336  0.0432  0.1511  0.4714  0.27
Barbosa 1983   47  0.5463  0.0037  0.0441  0.1134  0.2835  0.18
Biret 1990   34  0.5883  0.0022  0.0523  0.1826  0.2525  0.21
Blet 2003   10  0.6664  0.0033  0.0516  0.2425  0.2917  0.26
Block 1995   74  0.4171  0.0055  0.0457  0.0449  0.0479  0.04
Blumental 1952   37  0.575  0.0418  0.0733  0.159  0.3522  0.23
Boshniakovich 1969   12  0.6517  0.0132  0.0526  0.1715  0.3320  0.24
Brailowsky 1960   23  0.6121  0.0147  0.0460  0.0432  0.2350  0.10
Bunin 1987   18  0.6273  0.0010  0.0722  0.2031  0.2723  0.23
Bunin 1987b   17  0.6350  0.009  0.0719  0.2030  0.2721  0.23
Chiu 1999   22  0.619  0.0319  0.0814  0.2613  0.477  0.35
Cohen 1997   88  0.1475  0.0086  0.0281  0.0268  0.0391  0.02
Cortot 1951   41  0.5722  0.0151  0.0453  0.0427  0.3148  0.11
Csalog 1996   87  0.1872  0.0084  0.0284  0.0256  0.0584  0.03
Czerny 1949   14  0.636  0.048  0.109  0.3127  0.319  0.31
Czerny 1990   2  0.728  0.045  0.105  0.4212  0.395  0.40
Duchoud 2007   32  0.5977  0.0028  0.0531  0.1529  0.2924  0.21
Ezaki 2006   3  0.722  0.112  0.126  0.3822  0.308  0.34
Falvay 1989   19  0.6223  0.0127  0.0720  0.2033  0.1634  0.18
Farrell 1958   54  0.5379  0.0065  0.0465  0.0411  0.2947  0.11
Ferenczy 1958   68  0.4668  0.0078  0.0374  0.0349  0.0578  0.04
Fliere 1977   5  0.7120  0.016  0.114  0.4414  0.383  0.41
Fou 1978   24  0.6124  0.0131  0.0528  0.1721  0.3818  0.25
Francois 1956   60  0.5139  0.0025  0.0535  0.1437  0.1343  0.13
Friedman 1923   85  0.2269  0.0088  0.0377  0.0334  0.2264  0.08
Friedman 1923b   86  0.2166  0.0087  0.0288  0.0238  0.1973  0.06
Friedman 1930   78  0.3951  0.0072  0.0376  0.0341  0.1171  0.06
Garcia 2007   73  0.4180  0.0077  0.0370  0.0322  0.3056  0.09
Garcia 2007b   79  0.3985  0.0076  0.0369  0.0310  0.2958  0.09
Gierzod 1998   64  0.4828  0.0157  0.0646  0.0656  0.0476  0.05
Gornostaeva 1994   25  0.6143  0.0038  0.0639  0.1229  0.2337  0.17
Groot 1988   43  0.5631  0.0026  0.0625  0.1832  0.1936  0.18
Harasiewicz 1955   38  0.5759  0.0043  0.0444  0.1044  0.1054  0.10
Hatto 1993   70  0.4519  0.0140  0.0437  0.1322  0.3031  0.20
Hatto 1997   63  0.4967  0.0039  0.0436  0.1324  0.3130  0.20
Horowitz 1949   50  0.5352  0.0060  0.0550  0.0526  0.2845  0.12
Indjic 1988   69  0.4549  0.0041  0.0538  0.1223  0.3429  0.20
Kapell 1951   65  0.4836  0.0066  0.0466  0.0453  0.0577  0.04
Kissin 1993   29  0.6055  0.0054  0.0459  0.0447  0.0675  0.05
Kushner 1989   8  0.693  0.083  0.113  0.477  0.472  0.47
Luisada 1991   4  0.7141  0.0012  0.0715  0.2619  0.3410  0.30
Lushtak 2004   13  0.6533  0.0013  0.0913  0.2640  0.1433  0.19
Malcuzynski 1961   27  0.6056  0.0045  0.0542  0.1148  0.0660  0.08
Magaloff 1978   49  0.547  0.0430  0.0540  0.1142  0.1444  0.12
Magin 1975   21  0.6260  0.0035  0.0434  0.1519  0.2627  0.20
Michalowski 1933   71  0.4427  0.0153  0.0552  0.0542  0.1461  0.08
Milkina 1970   56  0.5212  0.0217  0.0817  0.2225  0.2619  0.24
Mohovich 1999   36  0.5887  0.0062  0.0454  0.0441  0.1072  0.06
Moravec 1969   66  0.4711  0.0215  0.0821  0.2023  0.3315  0.26
Morozova 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Neighaus 1950   26  0.6025  0.0121  0.0510  0.3133  0.2613  0.28
Niedzielski 1931   84  0.2647  0.0081  0.0287  0.0233  0.1770  0.06
Ohlsson 1999   39  0.5737  0.0059  0.0551  0.0551  0.0674  0.05
Osinska 1989   20  0.6235  0.0016  0.0930  0.1626  0.2626  0.20
Pachmann 1927   82  0.3181  0.0083  0.0286  0.0253  0.0582  0.03
Paderewski 1930   75  0.4190  0.0085  0.0282  0.0269  0.0389  0.02
Perlemuter 1992   11  0.6613  0.0224  0.0512  0.2718  0.3411  0.30
Pierdomenico 2008   35  0.5886  0.0061  0.0463  0.0445  0.0969  0.06
Poblocka 1999   57  0.5242  0.0067  0.0372  0.0357  0.0480  0.03
Rabcewiczowa 1932   42  0.5688  0.0050  0.0462  0.0434  0.1759  0.08
Rachmaninoff 1923   7  0.704  0.074  0.092  0.474  0.531  0.50
Rangell 2001   81  0.3774  0.0079  0.0375  0.0363  0.0487  0.03
Richter 1976   58  0.5278  0.0069  0.0467  0.0473  0.0381  0.03
Rosen 1989   59  0.5157  0.0049  0.0464  0.0444  0.1366  0.07
Rosenthal 1930   51  0.5344  0.0048  0.0468  0.0422  0.3846  0.12
Rosenthal 1931   67  0.4654  0.0070  0.0380  0.0324  0.3452  0.10
Rosenthal 1931b   72  0.4270  0.0071  0.0379  0.0325  0.2857  0.09
Rosenthal 1931c   62  0.4932  0.0063  0.0455  0.0426  0.2849  0.11
Rosenthal 1931d   80  0.3846  0.0075  0.0461  0.0439  0.1167  0.07
Rossi 2007   52  0.5391  0.0044  0.0543  0.103  0.3832  0.19
Rubinstein 1939   76  0.4030  0.0080  0.0283  0.0220  0.3755  0.09
Rubinstein 1952   77  0.4040  0.0082  0.0285  0.0265  0.0488  0.03
Rubinstein 1966   48  0.5445  0.0058  0.0549  0.0523  0.4241  0.14
Schilhawsky 1960   55  0.5358  0.0042  0.0445  0.0745  0.1063  0.08
Shebanova 2002   53  0.5326  0.0156  0.0548  0.0533  0.2153  0.10
Smith 1975   6  0.7065  0.0011  0.078  0.3533  0.2016  0.26
Sokolov 2002   9  0.6816  0.0114  0.097  0.3724  0.366  0.36
Sztompka 1959   30  0.6029  0.0052  0.0456  0.0435  0.2451  0.10
Tomsic 1995   33  0.5915  0.0134  0.0424  0.1836  0.1539  0.16
Uninsky 1932   45  0.5589  0.0068  0.0371  0.0338  0.1765  0.07
Uninsky 1971   61  0.5062  0.0073  0.0373  0.0363  0.0483  0.03
Wasowski 1980   16  0.6348  0.0046  0.0647  0.068  0.3540  0.14
Zak 1937   44  0.5538  0.0023  0.0527  0.1740  0.1538  0.16
Zak 1951   40  0.5734  0.0020  0.0518  0.2137  0.1928  0.20
Average   1  0.751  0.211  0.211  0.6230  0.264  0.40
Random 1   90  -0.0682  0.0091  0.0191  0.0160  0.0490  0.02
Random 2   91  -0.1684  0.0090  0.0190  0.0144  0.1085  0.03
Random 3   89  0.0153  0.0089  0.0289  0.0254  0.0486  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).