Morozova 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   14  0.6311  0.036  0.0910  0.2920  0.3011  0.29
Anderszewski 2003   45  0.5475  0.0063  0.0457  0.0436  0.1561  0.08
Ashkenazy 1981   30  0.5914  0.0228  0.0528  0.1744  0.1041  0.13
Bacha 2000   82  0.2961  0.0073  0.0377  0.0340  0.1167  0.06
Badura 1965   27  0.6010  0.0335  0.0431  0.1510  0.4713  0.27
Barbosa 1983   46  0.5463  0.0036  0.0440  0.1133  0.2834  0.18
Biret 1990   33  0.5882  0.0021  0.0622  0.1825  0.2524  0.21
Blet 2003   9  0.6664  0.0032  0.0515  0.2424  0.2916  0.26
Block 1995   73  0.4170  0.0054  0.0456  0.0448  0.0478  0.04
Blumental 1952   36  0.577  0.0417  0.0732  0.159  0.3521  0.23
Boshniakovich 1969   11  0.6520  0.0131  0.0625  0.1714  0.3319  0.24
Brailowsky 1960   22  0.6122  0.0146  0.0459  0.0431  0.2350  0.10
Bunin 1987   17  0.6272  0.009  0.0721  0.2030  0.2722  0.23
Bunin 1987b   16  0.6352  0.008  0.0718  0.2029  0.2720  0.23
Chiu 1999   21  0.615  0.0518  0.0913  0.2612  0.476  0.35
Cohen 1997   87  0.1473  0.0085  0.0280  0.0267  0.0390  0.02
Cortot 1951   40  0.5725  0.0150  0.0452  0.0426  0.3147  0.11
Csalog 1996   86  0.1871  0.0083  0.0283  0.0255  0.0683  0.03
Czerny 1949   13  0.638  0.047  0.108  0.3126  0.318  0.31
Czerny 1990   1  0.724  0.064  0.104  0.4211  0.394  0.40
Duchoud 2007   31  0.5977  0.0027  0.0530  0.1528  0.2923  0.21
Ezaki 2006   2  0.721  0.131  0.125  0.3821  0.307  0.34
Falvay 1989   18  0.6224  0.0126  0.0719  0.2032  0.1633  0.18
Farrell 1958   53  0.5378  0.0064  0.0464  0.0410  0.2946  0.11
Ferenczy 1958   67  0.4667  0.0077  0.0373  0.0348  0.0577  0.04
Fliere 1977   4  0.7118  0.025  0.123  0.4413  0.383  0.41
Fou 1978   23  0.6126  0.0130  0.0527  0.1720  0.3817  0.25
Francois 1956   59  0.5130  0.0124  0.0534  0.1436  0.1342  0.13
Friedman 1923   84  0.2268  0.0087  0.0376  0.0334  0.2263  0.08
Friedman 1923b   85  0.2165  0.0086  0.0287  0.0237  0.1972  0.06
Friedman 1930   77  0.3953  0.0071  0.0375  0.0340  0.1170  0.06
Garcia 2007   72  0.4179  0.0076  0.0369  0.0321  0.3056  0.09
Garcia 2007b   78  0.3985  0.0075  0.0468  0.0410  0.2949  0.11
Gierzod 1998   63  0.4832  0.0156  0.0645  0.0655  0.0475  0.05
Gornostaeva 1994   24  0.6142  0.0037  0.0638  0.1228  0.2336  0.17
Groot 1988   42  0.5635  0.0025  0.0624  0.1831  0.1935  0.18
Harasiewicz 1955   37  0.5760  0.0042  0.0443  0.1043  0.1054  0.10
Hatto 1993   69  0.4521  0.0139  0.0436  0.1321  0.3030  0.20
Hatto 1997   62  0.4966  0.0038  0.0435  0.1323  0.3129  0.20
Horowitz 1949   49  0.5346  0.0059  0.0549  0.0525  0.2844  0.12
Indjic 1988   68  0.4550  0.0040  0.0537  0.1222  0.3428  0.20
Kapell 1951   64  0.4839  0.0065  0.0465  0.0452  0.0576  0.04
Kissin 1993   28  0.6056  0.0053  0.0458  0.0446  0.0774  0.05
Kushner 1989   7  0.692  0.112  0.112  0.476  0.472  0.47
Luisada 1991   3  0.719  0.0311  0.0714  0.2618  0.349  0.30
Lushtak 2004   12  0.6538  0.0012  0.0912  0.2639  0.1432  0.19
Malcuzynski 1961   26  0.6057  0.0044  0.0541  0.1147  0.0659  0.08
Magaloff 1978   48  0.546  0.0429  0.0539  0.1141  0.1443  0.12
Magin 1975   20  0.6259  0.0034  0.0433  0.1518  0.2626  0.20
Michalowski 1933   70  0.4431  0.0152  0.0551  0.0541  0.1460  0.08
Milkina 1970   55  0.5212  0.0316  0.0816  0.2224  0.2618  0.24
Mohovich 1999   35  0.5883  0.0061  0.0453  0.0440  0.1071  0.06
Moravec 1969   65  0.4713  0.0214  0.0820  0.2022  0.3314  0.26
Morozova 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Neighaus 1950   25  0.6027  0.0120  0.059  0.3132  0.2612  0.28
Niedzielski 1931   83  0.2648  0.0080  0.0286  0.0232  0.1769  0.06
Ohlsson 1999   38  0.5736  0.0058  0.0550  0.0550  0.0673  0.05
Osinska 1989   19  0.6240  0.0015  0.0929  0.1625  0.2625  0.20
Pachmann 1927   81  0.3180  0.0082  0.0285  0.0252  0.0581  0.03
Paderewski 1930   74  0.4189  0.0084  0.0281  0.0268  0.0388  0.02
Perlemuter 1992   10  0.6615  0.0223  0.0511  0.2717  0.3410  0.30
Pierdomenico 2008   34  0.5886  0.0060  0.0462  0.0444  0.0968  0.06
Poblocka 1999   56  0.5243  0.0066  0.0371  0.0356  0.0479  0.03
Rabcewiczowa 1932   41  0.5687  0.0049  0.0461  0.0433  0.1758  0.08
Rachmaninoff 1923   6  0.703  0.093  0.091  0.473  0.531  0.50
Rangell 2001   80  0.3774  0.0078  0.0374  0.0362  0.0486  0.03
Richter 1976   57  0.5276  0.0068  0.0466  0.0472  0.0380  0.03
Rosen 1989   58  0.5154  0.0048  0.0463  0.0443  0.1365  0.07
Rosenthal 1930   50  0.5344  0.0047  0.0467  0.0421  0.3845  0.12
Rosenthal 1931   66  0.4658  0.0069  0.0379  0.0323  0.3452  0.10
Rosenthal 1931b   71  0.4269  0.0070  0.0378  0.0324  0.2857  0.09
Rosenthal 1931c   61  0.4937  0.0062  0.0454  0.0425  0.2848  0.11
Rosenthal 1931d   79  0.3847  0.0074  0.0460  0.0438  0.1166  0.07
Rossi 2007   51  0.5390  0.0043  0.0542  0.103  0.3831  0.19
Rubinstein 1939   75  0.4034  0.0079  0.0282  0.0220  0.3755  0.09
Rubinstein 1952   76  0.4041  0.0081  0.0284  0.0264  0.0487  0.03
Rubinstein 1966   47  0.5445  0.0057  0.0548  0.0522  0.4240  0.14
Schilhawsky 1960   54  0.5351  0.0041  0.0444  0.0744  0.1062  0.08
Shebanova 2002   52  0.5328  0.0155  0.0547  0.0532  0.2153  0.10
Smith 1975   5  0.7023  0.0110  0.077  0.3532  0.2015  0.26
Sokolov 2002   8  0.6819  0.0113  0.096  0.3723  0.365  0.36
Sztompka 1959   29  0.6033  0.0051  0.0455  0.0434  0.2451  0.10
Tomsic 1995   32  0.5916  0.0233  0.0423  0.1835  0.1538  0.16
Uninsky 1932   44  0.5588  0.0067  0.0370  0.0337  0.1764  0.07
Uninsky 1971   60  0.5062  0.0072  0.0372  0.0362  0.0482  0.03
Wasowski 1980   15  0.6349  0.0045  0.0646  0.067  0.3539  0.14
Zak 1937   43  0.5529  0.0122  0.0526  0.1739  0.1537  0.16
Zak 1951   39  0.5717  0.0219  0.0517  0.2136  0.1927  0.20
Random 1   89  -0.0681  0.0090  0.0190  0.0160  0.0489  0.02
Random 2   90  -0.1684  0.0089  0.0189  0.0144  0.1084  0.03
Random 3   88  0.0155  0.0088  0.0288  0.0250  0.0585  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).