Fou 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   5  0.7852  0.0014  0.1011  0.4538  0.2617  0.34
Anderszewski 2003   31  0.6968  0.0044  0.0543  0.1045  0.1151  0.10
Ashkenazy 1981   12  0.7512  0.0222  0.0627  0.2522  0.3025  0.27
Bacha 2000   33  0.6876  0.0049  0.0476  0.0421  0.2750  0.10
Badura 1965   26  0.7010  0.0241  0.0632  0.1930  0.3724  0.27
Barbosa 1983   76  0.5237  0.0059  0.0462  0.0439  0.1166  0.07
Biret 1990   3  0.7916  0.017  0.085  0.504  0.583  0.54
Blet 2003   30  0.6972  0.0028  0.0820  0.343  0.4714  0.40
Block 1995   70  0.5753  0.0051  0.0380  0.0335  0.1472  0.06
Blumental 1952   17  0.7426  0.0018  0.0823  0.309  0.3220  0.31
Boshniakovich 1969   39  0.6681  0.0037  0.0534  0.1844  0.1435  0.16
Brailowsky 1960   61  0.6060  0.0074  0.0467  0.0465  0.0480  0.04
Bunin 1987   86  0.4288  0.0088  0.0470  0.0451  0.0679  0.05
Bunin 1987b   87  0.4183  0.0087  0.0469  0.0450  0.0775  0.05
Chiu 1999   35  0.6770  0.0062  0.0452  0.0442  0.1465  0.07
Cohen 1997   57  0.6147  0.0069  0.0473  0.045  0.4839  0.14
Cortot 1951   59  0.6057  0.0068  0.0457  0.0450  0.0584  0.04
Csalog 1996   77  0.5051  0.0070  0.0548  0.0527  0.2845  0.12
Czerny 1949   66  0.5882  0.0046  0.0475  0.0451  0.0678  0.05
Czerny 1990   32  0.6938  0.0038  0.0435  0.1559  0.0461  0.08
Duchoud 2007   53  0.6244  0.0063  0.0547  0.0521  0.2846  0.12
Ezaki 2006   18  0.7332  0.0039  0.0539  0.1247  0.0557  0.08
Falvay 1989   48  0.6418  0.0150  0.0379  0.0320  0.4642  0.12
Farrell 1958   23  0.7155  0.0020  0.0622  0.339  0.5112  0.41
Ferenczy 1958   58  0.6156  0.0067  0.0466  0.0444  0.0870  0.06
Fliere 1977   25  0.7019  0.0110  0.0912  0.4541  0.1526  0.26
Fou 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Francois 1956   36  0.6769  0.0030  0.0733  0.1812  0.4821  0.29
Friedman 1923   67  0.5863  0.0080  0.0474  0.0463  0.0585  0.04
Friedman 1923b   68  0.5777  0.0079  0.0288  0.0260  0.0590  0.03
Friedman 1930   69  0.5784  0.0081  0.0460  0.0476  0.0388  0.03
Garcia 2007   7  0.7758  0.009  0.0813  0.427  0.547  0.48
Garcia 2007b   16  0.7427  0.0015  0.0815  0.3718  0.4215  0.39
Gierzod 1998   38  0.6621  0.0129  0.1024  0.3043  0.1430  0.20
Gornostaeva 1994   56  0.6173  0.0047  0.0464  0.0422  0.2452  0.10
Groot 1988   45  0.6454  0.0032  0.0640  0.1125  0.3432  0.19
Harasiewicz 1955   14  0.7411  0.0219  0.1225  0.3059  0.0548  0.12
Hatto 1993   42  0.6559  0.0054  0.0646  0.0658  0.0673  0.06
Hatto 1997   40  0.6665  0.0053  0.0549  0.0545  0.1067  0.07
Horowitz 1949   47  0.6448  0.0042  0.0544  0.0944  0.1841  0.13
Indjic 1988   41  0.6662  0.0052  0.0384  0.0345  0.1076  0.05
Kapell 1951   49  0.6422  0.0116  0.0917  0.3540  0.1129  0.20
Kissin 1993   10  0.755  0.065  0.1118  0.3424  0.3319  0.33
Kushner 1989   9  0.754  0.082  0.222  0.609  0.531  0.56
Luisada 1991   8  0.7685  0.0021  0.0619  0.3431  0.2123  0.27
Lushtak 2004   21  0.7261  0.0027  0.0621  0.3412  0.3418  0.34
Malcuzynski 1961   80  0.4987  0.0077  0.0383  0.0372  0.0387  0.03
Magaloff 1978   63  0.5928  0.0058  0.0471  0.0441  0.1758  0.08
Magin 1975   43  0.656  0.0323  0.0626  0.2726  0.3022  0.28
Michalowski 1933   55  0.6135  0.0048  0.0459  0.0435  0.1955  0.09
Milkina 1970   6  0.772  0.123  0.144  0.538  0.562  0.54
Mohovich 1999   19  0.738  0.0212  0.097  0.4811  0.524  0.50
Moravec 1969   75  0.5234  0.0082  0.0387  0.0341  0.1469  0.06
Morozova 2008   11  0.7550  0.0013  0.0714  0.4111  0.4611  0.43
Neighaus 1950   54  0.6174  0.0057  0.0465  0.0458  0.0583  0.04
Niedzielski 1931   78  0.5090  0.0073  0.0381  0.0382  0.0386  0.03
Ohlsson 1999   51  0.6371  0.0045  0.0445  0.0841  0.1449  0.11
Osinska 1989   20  0.739  0.0211  0.089  0.4719  0.4410  0.45
Pachmann 1927   64  0.5978  0.0075  0.0468  0.0415  0.3744  0.12
Paderewski 1930   22  0.7266  0.0026  0.0628  0.243  0.5516  0.36
Perlemuter 1992   2  0.8164  0.006  0.108  0.477  0.488  0.47
Pierdomenico 2008   74  0.5424  0.0164  0.0453  0.0426  0.3543  0.12
Poblocka 1999   62  0.5939  0.0031  0.0629  0.2138  0.1731  0.19
Rabcewiczowa 1932   15  0.7420  0.0117  0.0910  0.464  0.499  0.47
Rachmaninoff 1923   28  0.697  0.0324  0.0730  0.2034  0.1534  0.17
Rangell 2001   82  0.4767  0.0066  0.0456  0.0417  0.3747  0.12
Richter 1976   79  0.4986  0.0078  0.0378  0.0363  0.0581  0.04
Rosen 1989   13  0.7541  0.008  0.086  0.5010  0.485  0.49
Rosenthal 1930   81  0.4833  0.0076  0.0382  0.0337  0.1171  0.06
Rosenthal 1931   85  0.4315  0.0185  0.0377  0.0333  0.2060  0.08
Rosenthal 1931b   83  0.4413  0.0284  0.0458  0.0428  0.2156  0.09
Rosenthal 1931c   88  0.4136  0.0083  0.0386  0.0338  0.1768  0.07
Rosenthal 1931d   84  0.4431  0.0086  0.0455  0.0433  0.1862  0.08
Rossi 2007   50  0.6342  0.0072  0.0385  0.0326  0.2953  0.09
Rubinstein 1939   46  0.6440  0.0060  0.0472  0.0411  0.4140  0.13
Rubinstein 1952   65  0.5925  0.0155  0.0551  0.059  0.5236  0.16
Rubinstein 1966   44  0.6517  0.0133  0.0741  0.1118  0.4028  0.21
Schilhawsky 1960   71  0.5729  0.0071  0.0550  0.0550  0.0677  0.05
Shebanova 2002   34  0.6849  0.0025  0.0616  0.3643  0.1527  0.23
Smith 1975   52  0.6243  0.0061  0.0461  0.0447  0.0674  0.05
Sokolov 2002   60  0.6045  0.0056  0.0463  0.0440  0.1464  0.07
Sztompka 1959   4  0.783  0.094  0.143  0.5721  0.406  0.48
Tomsic 1995   72  0.5546  0.0065  0.0454  0.0410  0.5437  0.15
Uninsky 1932   37  0.6623  0.0136  0.0431  0.2044  0.1633  0.18
Uninsky 1971   73  0.5514  0.0140  0.0438  0.1343  0.1838  0.15
Wasowski 1980   29  0.6930  0.0043  0.0542  0.1062  0.0563  0.07
Zak 1937   24  0.7180  0.0034  0.0436  0.1562  0.0459  0.08
Zak 1951   27  0.7079  0.0035  0.0437  0.1552  0.0554  0.09
Average   1  0.841  0.281  0.281  0.6632  0.2613  0.41
Random 1   91  -0.2589  0.0091  0.0191  0.0145  0.0889  0.03
Random 2   89  -0.0491  0.0089  0.0289  0.0261  0.0391  0.02
Random 3   90  -0.1175  0.0090  0.0190  0.0142  0.1482  0.04

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).