Morozova 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.7118  0.014  0.134  0.5018  0.437  0.46
Anderszewski 2003   37  0.6153  0.0043  0.0543  0.1028  0.2043  0.14
Ashkenazy 1981   12  0.6910  0.0110  0.138  0.4224  0.369  0.39
Bacha 2000   84  0.4065  0.0051  0.0459  0.0447  0.0772  0.05
Badura 1965   16  0.676  0.0212  0.0810  0.383  0.616  0.48
Barbosa 1983   57  0.5534  0.0053  0.0547  0.0524  0.2747  0.12
Biret 1990   41  0.6037  0.0026  0.0632  0.2136  0.1936  0.20
Blet 2003   20  0.6762  0.0035  0.0727  0.2424  0.3122  0.27
Block 1995   71  0.5070  0.0047  0.0457  0.0440  0.1168  0.07
Blumental 1952   40  0.6013  0.0140  0.0539  0.1320  0.2339  0.17
Boshniakovich 1969   19  0.6782  0.0031  0.0534  0.1819  0.3924  0.26
Brailowsky 1960   49  0.587  0.0264  0.0450  0.0436  0.2352  0.10
Bunin 1987   60  0.5449  0.0070  0.0453  0.0435  0.2657  0.10
Bunin 1987b   62  0.5433  0.0069  0.0455  0.0436  0.2755  0.10
Chiu 1999   24  0.6539  0.0030  0.0526  0.2411  0.4914  0.34
Cohen 1997   88  0.2663  0.0088  0.0461  0.0480  0.0385  0.03
Cortot 1951   47  0.5945  0.0060  0.0465  0.0433  0.2162  0.09
Csalog 1996   87  0.2967  0.0087  0.0370  0.0371  0.0484  0.03
Czerny 1949   27  0.633  0.079  0.1511  0.3530  0.2818  0.31
Czerny 1990   6  0.7215  0.018  0.157  0.4220  0.398  0.40
Duchoud 2007   51  0.5775  0.0045  0.0444  0.0822  0.3538  0.17
Ezaki 2006   4  0.754  0.057  0.1416  0.3322  0.3316  0.33
Falvay 1989   63  0.5347  0.0072  0.0371  0.0361  0.0577  0.04
Farrell 1958   39  0.6020  0.0148  0.0463  0.0426  0.2554  0.10
Ferenczy 1958   70  0.5046  0.0085  0.0285  0.0276  0.0389  0.02
Fliere 1977   3  0.755  0.053  0.143  0.5514  0.454  0.50
Fou 1978   15  0.6844  0.0014  0.0913  0.3417  0.3911  0.36
Francois 1956   67  0.5178  0.0038  0.0540  0.1235  0.2241  0.16
Friedman 1923   76  0.4773  0.0078  0.0466  0.0429  0.2951  0.11
Friedman 1923b   75  0.4877  0.0077  0.0288  0.0229  0.2967  0.08
Friedman 1930   58  0.5431  0.0066  0.0448  0.0431  0.2849  0.11
Garcia 2007   56  0.5689  0.0067  0.0460  0.0429  0.3050  0.11
Garcia 2007b   66  0.5285  0.0063  0.0458  0.0426  0.1963  0.09
Gierzod 1998   44  0.6030  0.0029  0.0535  0.1845  0.1145  0.14
Gornostaeva 1994   55  0.5612  0.0149  0.0467  0.0448  0.0580  0.04
Groot 1988   54  0.5627  0.0039  0.0542  0.1138  0.2042  0.15
Harasiewicz 1955   21  0.6683  0.0023  0.0628  0.2436  0.1834  0.21
Hatto 1993   35  0.6284  0.0032  0.0630  0.2222  0.2630  0.24
Hatto 1997   25  0.6486  0.0019  0.0625  0.2423  0.2727  0.25
Horowitz 1949   46  0.5940  0.0065  0.0449  0.0426  0.3846  0.12
Indjic 1988   33  0.6288  0.0033  0.0929  0.2222  0.2926  0.25
Kapell 1951   53  0.5650  0.0044  0.0445  0.0772  0.0474  0.05
Kissin 1993   9  0.7068  0.0020  0.0619  0.3020  0.3815  0.34
Kushner 1989   5  0.732  0.122  0.202  0.583  0.601  0.59
Luisada 1991   2  0.7817  0.016  0.116  0.468  0.505  0.48
Lushtak 2004   11  0.6928  0.0013  0.0914  0.3422  0.2819  0.31
Malcuzynski 1961   68  0.5172  0.0059  0.0372  0.0382  0.0382  0.03
Magaloff 1978   65  0.5229  0.0050  0.0464  0.0464  0.0476  0.04
Magin 1975   8  0.7011  0.0111  0.1221  0.2716  0.3120  0.29
Michalowski 1933   69  0.5052  0.0046  0.0468  0.0443  0.1665  0.08
Milkina 1970   48  0.5922  0.0116  0.0720  0.2732  0.2425  0.25
Mohovich 1999   36  0.6154  0.0052  0.0454  0.0462  0.0479  0.04
Moravec 1969   81  0.4323  0.0157  0.0376  0.0337  0.2364  0.08
Morozova 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Neighaus 1950   34  0.629  0.0127  0.0515  0.3442  0.1237  0.20
Niedzielski 1931   82  0.4374  0.0074  0.0381  0.0355  0.0481  0.03
Ohlsson 1999   30  0.6321  0.0128  0.0524  0.2432  0.2529  0.24
Osinska 1989   26  0.6426  0.0022  0.0623  0.2533  0.2428  0.24
Pachmann 1927   77  0.4580  0.0086  0.0373  0.0372  0.0483  0.03
Paderewski 1930   73  0.5079  0.0084  0.0284  0.0273  0.0388  0.02
Perlemuter 1992   14  0.6871  0.0021  0.0717  0.3316  0.3812  0.35
Pierdomenico 2008   59  0.5481  0.0062  0.0369  0.0333  0.3153  0.10
Poblocka 1999   45  0.6057  0.0055  0.0462  0.0447  0.0673  0.05
Rabcewiczowa 1932   43  0.6038  0.0025  0.0638  0.1726  0.3031  0.23
Rachmaninoff 1923   10  0.7019  0.015  0.115  0.494  0.572  0.53
Rangell 2001   86  0.3632  0.0073  0.0379  0.0381  0.0386  0.03
Richter 1976   50  0.5864  0.0068  0.0452  0.0427  0.2848  0.11
Rosen 1989   38  0.618  0.0224  0.0631  0.2230  0.2432  0.23
Rosenthal 1930   72  0.5056  0.0058  0.0378  0.0325  0.2761  0.09
Rosenthal 1931   80  0.4358  0.0080  0.0380  0.0329  0.2366  0.08
Rosenthal 1931b   83  0.4076  0.0081  0.0377  0.0337  0.1075  0.05
Rosenthal 1931c   79  0.4343  0.0079  0.0287  0.0239  0.1870  0.06
Rosenthal 1931d   85  0.3869  0.0082  0.0289  0.0253  0.0587  0.03
Rossi 2007   74  0.4961  0.0083  0.0283  0.0237  0.1769  0.06
Rubinstein 1939   64  0.5324  0.0175  0.0382  0.0328  0.3058  0.09
Rubinstein 1952   78  0.4525  0.0076  0.0375  0.0343  0.1471  0.06
Rubinstein 1966   42  0.6051  0.0054  0.0546  0.0523  0.4044  0.14
Schilhawsky 1960   32  0.6266  0.0036  0.0737  0.1737  0.2633  0.21
Shebanova 2002   29  0.6314  0.0118  0.0618  0.3120  0.3517  0.33
Smith 1975   23  0.6536  0.0041  0.0636  0.1733  0.1640  0.16
Sokolov 2002   31  0.6248  0.0037  0.0633  0.2031  0.3523  0.26
Sztompka 1959   18  0.6716  0.0134  0.0622  0.2626  0.3221  0.29
Tomsic 1995   61  0.5459  0.0071  0.0451  0.0436  0.2059  0.09
Uninsky 1932   28  0.6355  0.0056  0.0456  0.0433  0.2656  0.10
Uninsky 1971   52  0.5760  0.0061  0.0374  0.0366  0.0578  0.04
Wasowski 1980   22  0.6641  0.0042  0.0541  0.1114  0.3635  0.20
Zak 1937   17  0.6742  0.0017  0.0612  0.3423  0.3613  0.35
Zak 1951   13  0.6835  0.0015  0.099  0.4021  0.3410  0.37
Average   1  0.791  0.391  0.391  0.7318  0.383  0.53
Random 1   91  -0.1691  0.0091  0.0191  0.0167  0.0390  0.02
Random 2   89  -0.0487  0.0089  0.0286  0.0210  0.3860  0.09
Random 3   90  -0.1190  0.0090  0.0190  0.0169  0.0391  0.02

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).