Morozova 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   4  0.807  0.039  0.1410  0.4726  0.3314  0.39
Anderszewski 2003   36  0.6876  0.0039  0.0934  0.2039  0.1937  0.19
Ashkenazy 1981   12  0.781  0.251  0.255  0.554  0.542  0.54
Bacha 2000   72  0.5089  0.0069  0.0456  0.0477  0.0380  0.03
Badura 1965   17  0.753  0.0718  0.0917  0.403  0.616  0.49
Barbosa 1983   66  0.5518  0.0170  0.0646  0.0641  0.1154  0.08
Biret 1990   54  0.6136  0.0050  0.0465  0.0447  0.0766  0.05
Blet 2003   39  0.6750  0.0032  0.0635  0.1928  0.2829  0.23
Block 1995   58  0.5957  0.0047  0.0547  0.0532  0.1650  0.09
Blumental 1952   53  0.6333  0.0057  0.0372  0.0353  0.0576  0.04
Boshniakovich 1969   32  0.6934  0.0038  0.0636  0.1932  0.2831  0.23
Brailowsky 1960   65  0.5587  0.0066  0.0551  0.0546  0.0661  0.05
Bunin 1987   76  0.4562  0.0078  0.0376  0.0346  0.0865  0.05
Bunin 1987b   77  0.4566  0.0077  0.0371  0.0346  0.0862  0.05
Chiu 1999   35  0.6829  0.0037  0.0539  0.1622  0.2633  0.20
Cohen 1997   85  0.3858  0.0082  0.0289  0.0262  0.0485  0.03
Cortot 1951   55  0.6159  0.0060  0.0455  0.0449  0.0578  0.04
Csalog 1996   81  0.4032  0.0075  0.0373  0.0355  0.0484  0.03
Czerny 1949   52  0.6320  0.0130  0.0530  0.2445  0.1239  0.17
Czerny 1990   24  0.7146  0.0033  0.0626  0.2935  0.1532  0.21
Duchoud 2007   64  0.5625  0.0058  0.0469  0.0420  0.2847  0.11
Ezaki 2006   13  0.7769  0.0019  0.0929  0.2431  0.2228  0.23
Falvay 1989   78  0.4570  0.0087  0.0384  0.0361  0.0571  0.04
Farrell 1958   37  0.6815  0.0146  0.0549  0.0548  0.0860  0.06
Ferenczy 1958   67  0.5572  0.0079  0.0552  0.0566  0.0475  0.04
Fliere 1977   6  0.7911  0.027  0.118  0.5024  0.3113  0.39
Fou 1978   15  0.7512  0.0212  0.1111  0.4614  0.417  0.43
Francois 1956   69  0.5141  0.0068  0.0458  0.0438  0.1459  0.07
Friedman 1923   22  0.7351  0.0036  0.0533  0.2232  0.3725  0.29
Friedman 1923b   19  0.7447  0.0034  0.0532  0.2331  0.3724  0.29
Friedman 1930   30  0.7073  0.0043  0.0640  0.1437  0.3034  0.20
Garcia 2007   28  0.7077  0.0042  0.0541  0.1341  0.1544  0.14
Garcia 2007b   45  0.6584  0.0049  0.0461  0.0463  0.0479  0.04
Gierzod 1998   26  0.7119  0.0121  0.1115  0.4234  0.2323  0.31
Gornostaeva 1994   68  0.5123  0.0172  0.0370  0.0367  0.0386  0.03
Groot 1988   62  0.5726  0.0052  0.0467  0.0453  0.0667  0.05
Harasiewicz 1955   16  0.7583  0.0023  0.0627  0.2737  0.1338  0.19
Hatto 1993   10  0.7967  0.0014  0.1014  0.4318  0.3812  0.40
Hatto 1997   7  0.7937  0.0010  0.1113  0.4419  0.389  0.41
Horowitz 1949   44  0.6538  0.0054  0.0381  0.0343  0.1952  0.08
Indjic 1988   9  0.7943  0.0013  0.0912  0.4419  0.3710  0.40
Kapell 1951   47  0.6424  0.0024  0.0624  0.3145  0.0741  0.15
Kissin 1993   3  0.8122  0.015  0.153  0.5613  0.484  0.52
Kushner 1989   14  0.765  0.053  0.126  0.5210  0.523  0.52
Luisada 1991   1  0.844  0.064  0.124  0.555  0.485  0.51
Lushtak 2004   20  0.7327  0.0022  0.0823  0.3516  0.3021  0.32
Malcuzynski 1961   80  0.4153  0.0080  0.0380  0.0365  0.0483  0.03
Magaloff 1978   73  0.5082  0.0071  0.0453  0.0456  0.0570  0.04
Magin 1975   11  0.789  0.026  0.162  0.575  0.541  0.55
Michalowski 1933   61  0.5763  0.0064  0.0464  0.0447  0.0763  0.05
Milkina 1970   41  0.6614  0.0128  0.0537  0.1835  0.2036  0.19
Mohovich 1999   46  0.6552  0.0051  0.0548  0.0543  0.1355  0.08
Moravec 1969   84  0.3878  0.0088  0.0466  0.0479  0.0381  0.03
Morozova 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Neighaus 1950   51  0.6328  0.0040  0.0542  0.1378  0.0458  0.07
Niedzielski 1931   60  0.5964  0.0065  0.0457  0.0452  0.0473  0.04
Ohlsson 1999   34  0.6844  0.0020  0.0922  0.3521  0.3717  0.36
Osinska 1989   42  0.6540  0.0048  0.0459  0.0459  0.0469  0.04
Pachmann 1927   57  0.6091  0.0061  0.0454  0.044  0.4743  0.14
Paderewski 1930   59  0.5968  0.0062  0.0462  0.0433  0.1553  0.08
Perlemuter 1992   29  0.7055  0.0026  0.0625  0.2928  0.2426  0.26
Pierdomenico 2008   71  0.5179  0.0067  0.0460  0.0435  0.2548  0.10
Poblocka 1999   38  0.678  0.0329  0.0528  0.2735  0.2327  0.25
Rabcewiczowa 1932   49  0.6431  0.0035  0.0538  0.1730  0.2135  0.19
Rachmaninoff 1923   31  0.6942  0.0025  0.0621  0.3523  0.3119  0.33
Rangell 2001   88  0.3516  0.0173  0.0378  0.0357  0.0487  0.03
Richter 1976   50  0.6454  0.0055  0.0463  0.0431  0.3846  0.12
Rosen 1989   25  0.716  0.0411  0.1016  0.4121  0.3516  0.38
Rosenthal 1930   75  0.4648  0.0074  0.0379  0.0345  0.0764  0.05
Rosenthal 1931   82  0.4080  0.0081  0.0383  0.0356  0.0574  0.04
Rosenthal 1931b   83  0.3960  0.0084  0.0385  0.0371  0.0488  0.03
Rosenthal 1931c   87  0.3745  0.0083  0.0288  0.0260  0.0489  0.03
Rosenthal 1931d   86  0.3874  0.0085  0.0382  0.0351  0.0577  0.04
Rossi 2007   79  0.4485  0.0086  0.0287  0.0266  0.0582  0.03
Rubinstein 1939   40  0.6630  0.0053  0.0375  0.0335  0.1757  0.07
Rubinstein 1952   70  0.5117  0.0144  0.0445  0.0943  0.1845  0.13
Rubinstein 1966   43  0.6549  0.0045  0.0543  0.1035  0.2740  0.16
Schilhawsky 1960   23  0.7261  0.0027  0.0620  0.3637  0.3318  0.34
Shebanova 2002   21  0.7310  0.028  0.127  0.5127  0.3211  0.40
Smith 1975   56  0.6039  0.0063  0.0550  0.0564  0.0472  0.04
Sokolov 2002   63  0.5656  0.0059  0.0468  0.0441  0.1356  0.07
Sztompka 1959   18  0.7413  0.0217  0.119  0.4828  0.3015  0.38
Tomsic 1995   74  0.4935  0.0076  0.0377  0.0338  0.2051  0.08
Uninsky 1932   27  0.7121  0.0131  0.0531  0.2339  0.2430  0.23
Uninsky 1971   48  0.6475  0.0041  0.0444  0.0939  0.2642  0.15
Wasowski 1980   33  0.6971  0.0056  0.0374  0.0365  0.0568  0.04
Zak 1937   8  0.7965  0.0016  0.1019  0.3823  0.2522  0.31
Zak 1951   5  0.7990  0.0015  0.1018  0.3922  0.2720  0.32
Average   2  0.832  0.202  0.241  0.6630  0.268  0.41
Random 1   91  -0.2681  0.0090  0.0190  0.0181  0.0290  0.01
Random 2   89  0.0688  0.0089  0.0286  0.023  0.5349  0.10
Random 3   90  -0.2586  0.0091  0.0191  0.0185  0.0291  0.01

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).