Morozova 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.809  0.038  0.149  0.4725  0.3313  0.39
Anderszewski 2003   35  0.6874  0.0038  0.0933  0.2038  0.1936  0.19
Ashkenazy 1981   11  0.781  0.261  0.264  0.553  0.542  0.54
Bacha 2000   71  0.5088  0.0068  0.0455  0.0476  0.0379  0.03
Badura 1965   16  0.754  0.0717  0.0916  0.403  0.616  0.49
Barbosa 1983   65  0.5519  0.0169  0.0645  0.0640  0.1153  0.08
Biret 1990   53  0.6137  0.0049  0.0464  0.0446  0.0766  0.05
Blet 2003   38  0.6749  0.0031  0.0634  0.1927  0.2828  0.23
Block 1995   57  0.5956  0.0046  0.0546  0.0531  0.1649  0.09
Blumental 1952   52  0.6330  0.0056  0.0471  0.0452  0.0575  0.04
Boshniakovich 1969   31  0.6934  0.0037  0.0635  0.1931  0.2830  0.23
Brailowsky 1960   64  0.5586  0.0065  0.0550  0.0545  0.0661  0.05
Bunin 1987   75  0.4561  0.0077  0.0375  0.0345  0.0865  0.05
Bunin 1987b   76  0.4565  0.0076  0.0470  0.0445  0.0960  0.06
Chiu 1999   34  0.6828  0.0036  0.0538  0.1621  0.2632  0.20
Cohen 1997   84  0.3857  0.0081  0.0288  0.0261  0.0484  0.03
Cortot 1951   54  0.6158  0.0059  0.0454  0.0448  0.0577  0.04
Csalog 1996   80  0.4032  0.0074  0.0372  0.0354  0.0483  0.03
Czerny 1949   51  0.6318  0.0129  0.0629  0.2444  0.1238  0.17
Czerny 1990   23  0.7146  0.0032  0.0625  0.2934  0.1531  0.21
Duchoud 2007   63  0.5625  0.0057  0.0468  0.0419  0.2846  0.11
Ezaki 2006   12  0.7768  0.0018  0.0928  0.2430  0.2227  0.23
Falvay 1989   77  0.4569  0.0086  0.0383  0.0360  0.0570  0.04
Farrell 1958   36  0.6814  0.0145  0.0548  0.0547  0.0859  0.06
Ferenczy 1958   66  0.5571  0.0078  0.0551  0.0565  0.0474  0.04
Fliere 1977   5  0.797  0.036  0.117  0.5023  0.3112  0.39
Fou 1978   14  0.758  0.0311  0.1110  0.4613  0.417  0.43
Francois 1956   68  0.5141  0.0067  0.0457  0.0437  0.1458  0.07
Friedman 1923   21  0.7350  0.0035  0.0532  0.2231  0.3724  0.29
Friedman 1923b   18  0.7445  0.0033  0.0531  0.2330  0.3723  0.29
Friedman 1930   29  0.7072  0.0042  0.0639  0.1436  0.3033  0.20
Garcia 2007   27  0.7076  0.0041  0.0540  0.1340  0.1543  0.14
Garcia 2007b   44  0.6583  0.0048  0.0460  0.0462  0.0478  0.04
Gierzod 1998   25  0.7120  0.0120  0.1114  0.4233  0.2322  0.31
Gornostaeva 1994   67  0.5123  0.0171  0.0469  0.0466  0.0385  0.03
Groot 1988   61  0.5726  0.0051  0.0466  0.0452  0.0667  0.05
Harasiewicz 1955   15  0.7582  0.0022  0.0626  0.2736  0.1337  0.19
Hatto 1993   9  0.7966  0.0013  0.1013  0.4317  0.3811  0.40
Hatto 1997   6  0.7939  0.009  0.1212  0.4418  0.388  0.41
Horowitz 1949   43  0.6540  0.0053  0.0380  0.0342  0.1951  0.08
Indjic 1988   8  0.7943  0.0012  0.0911  0.4418  0.379  0.40
Kapell 1951   46  0.6424  0.0123  0.0623  0.3144  0.0740  0.15
Kissin 1993   2  0.8117  0.014  0.152  0.5612  0.484  0.52
Kushner 1989   13  0.762  0.122  0.135  0.529  0.523  0.52
Luisada 1991   1  0.843  0.103  0.123  0.554  0.485  0.51
Lushtak 2004   19  0.7321  0.0121  0.0822  0.3515  0.3020  0.32
Malcuzynski 1961   79  0.4152  0.0079  0.0379  0.0364  0.0482  0.03
Magaloff 1978   72  0.5081  0.0070  0.0552  0.0555  0.0562  0.05
Magin 1975   10  0.7812  0.025  0.161  0.574  0.541  0.55
Michalowski 1933   60  0.5762  0.0063  0.0463  0.0446  0.0763  0.05
Milkina 1970   40  0.6613  0.0127  0.0536  0.1834  0.2035  0.19
Mohovich 1999   45  0.6551  0.0050  0.0547  0.0542  0.1354  0.08
Moravec 1969   83  0.3877  0.0087  0.0465  0.0478  0.0380  0.03
Morozova 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Neighaus 1950   50  0.6327  0.0039  0.0541  0.1377  0.0457  0.07
Niedzielski 1931   59  0.5963  0.0064  0.0456  0.0451  0.0472  0.04
Ohlsson 1999   33  0.6842  0.0019  0.0921  0.3520  0.3716  0.36
Osinska 1989   41  0.6535  0.0047  0.0458  0.0458  0.0469  0.04
Pachmann 1927   56  0.6090  0.0060  0.0453  0.044  0.4742  0.14
Paderewski 1930   58  0.5967  0.0061  0.0461  0.0432  0.1552  0.08
Perlemuter 1992   28  0.7054  0.0025  0.0624  0.2927  0.2425  0.26
Pierdomenico 2008   70  0.5178  0.0066  0.0459  0.0434  0.2547  0.10
Poblocka 1999   37  0.6711  0.0328  0.0527  0.2734  0.2326  0.25
Rabcewiczowa 1932   48  0.6433  0.0034  0.0537  0.1729  0.2134  0.19
Rachmaninoff 1923   30  0.6931  0.0024  0.0620  0.3522  0.3118  0.33
Rangell 2001   87  0.3515  0.0172  0.0377  0.0356  0.0486  0.03
Richter 1976   49  0.6453  0.0054  0.0462  0.0430  0.3845  0.12
Rosen 1989   24  0.716  0.0410  0.1015  0.4120  0.3515  0.38
Rosenthal 1930   74  0.4647  0.0073  0.0378  0.0345  0.0764  0.05
Rosenthal 1931   81  0.4079  0.0080  0.0382  0.0355  0.0573  0.04
Rosenthal 1931b   82  0.3959  0.0083  0.0384  0.0370  0.0487  0.03
Rosenthal 1931c   86  0.3744  0.0082  0.0287  0.0259  0.0488  0.03
Rosenthal 1931d   85  0.3873  0.0084  0.0381  0.0350  0.0676  0.04
Rossi 2007   78  0.4484  0.0085  0.0286  0.0265  0.0581  0.03
Rubinstein 1939   39  0.6629  0.0052  0.0374  0.0334  0.1756  0.07
Rubinstein 1952   69  0.5116  0.0143  0.0444  0.0942  0.1844  0.13
Rubinstein 1966   42  0.6548  0.0044  0.0542  0.1034  0.2739  0.16
Schilhawsky 1960   22  0.7260  0.0026  0.0719  0.3636  0.3317  0.34
Shebanova 2002   20  0.735  0.057  0.126  0.5126  0.3210  0.40
Smith 1975   55  0.6038  0.0062  0.0549  0.0563  0.0471  0.04
Sokolov 2002   62  0.5655  0.0058  0.0467  0.0440  0.1355  0.07
Sztompka 1959   17  0.7410  0.0316  0.118  0.4827  0.3014  0.38
Tomsic 1995   73  0.4936  0.0075  0.0376  0.0337  0.2050  0.08
Uninsky 1932   26  0.7122  0.0130  0.0530  0.2338  0.2429  0.23
Uninsky 1971   47  0.6475  0.0040  0.0543  0.0938  0.2641  0.15
Wasowski 1980   32  0.6970  0.0055  0.0373  0.0364  0.0568  0.04
Zak 1937   7  0.7964  0.0015  0.1118  0.3822  0.2521  0.31
Zak 1951   4  0.7989  0.0014  0.1017  0.3921  0.2719  0.32
Random 1   90  -0.2680  0.0089  0.0189  0.0181  0.0289  0.01
Random 2   88  0.0687  0.0088  0.0285  0.023  0.5348  0.10
Random 3   89  -0.2585  0.0090  0.0190  0.0184  0.0290  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).