Friedman 1923b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   57  0.2630  0.0060  0.0660  0.0651  0.0564  0.05
Anderszewski 2003   75  0.1231  0.0075  0.0377  0.0367  0.0475  0.03
Ashkenazy 1981   11  0.509  0.0013  0.1111  0.7423  0.6015  0.67
Bacha 2000   78  0.1132  0.0074  0.0380  0.0378  0.0370  0.03
Badura 1965   45  0.3433  0.0049  0.1048  0.1017  0.4944  0.22
Barbosa 1983   55  0.2734  0.0058  0.0664  0.0665  0.0563  0.05
Biret 1990   67  0.1735  0.0065  0.0661  0.0642  0.1651  0.10
Blet 2003   15  0.4936  0.0020  0.1719  0.617  0.6619  0.63
Block 1995   19  0.4710  0.0026  0.0923  0.5421  0.4929  0.51
Blumental 1952   64  0.2037  0.0062  0.0663  0.0649  0.0658  0.06
Boshniakovich 1969   25  0.4438  0.0024  0.0818  0.6223  0.4926  0.55
Brailowsky 1960   54  0.277  0.0052  0.0854  0.0838  0.2448  0.14
Bunin 1987   37  0.4039  0.0033  0.0831  0.509  0.5927  0.54
Bunin 1987b   36  0.4016  0.0027  0.0727  0.529  0.6022  0.56
Chiu 1999   10  0.5340  0.008  0.236  0.785  0.737  0.75
Cohen 1997   69  0.1641  0.0079  0.0473  0.0489  0.0187  0.02
Cortot 1951   61  0.2342  0.0063  0.0856  0.0859  0.0559  0.06
Csalog 1996   23  0.4543  0.0037  0.1025  0.537  0.6421  0.58
Czerny 1949   87  -0.0744  0.0088  0.0287  0.0288  0.0189  0.01
Czerny 1990   47  0.3417  0.0041  0.1140  0.3330  0.4639  0.39
Duchoud 2007   40  0.3811  0.0035  0.0830  0.5019  0.4831  0.49
Ezaki 2006   70  0.1418  0.0078  0.0472  0.0472  0.0369  0.03
Falvay 1989   81  0.1019  0.0069  0.0566  0.0587  0.0271  0.03
Farrell 1958   48  0.3345  0.0034  0.0939  0.3514  0.5135  0.42
Ferenczy 1958   90  -0.1346  0.0090  0.0190  0.0189  0.0288  0.01
Fliere 1977   3  0.683  0.003  0.433  0.873  0.843  0.85
Fou 1978   46  0.3447  0.0042  0.1043  0.2340  0.1945  0.21
Francois 1956   77  0.1148  0.0081  0.0468  0.0482  0.0281  0.03
Friedman 1923   1  0.991  1.001  0.991  1.001  1.001  1.00
Friedman 1923b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1930   2  0.7312  0.002  0.742  0.912  0.932  0.92
Garcia 2007   31  0.4213  0.0022  0.0822  0.5714  0.5425  0.55
Garcia 2007b   51  0.318  0.0048  0.1146  0.1129  0.3646  0.20
Gierzod 1998   74  0.1349  0.0077  0.0471  0.0468  0.0466  0.04
Gornostaeva 1994   72  0.1450  0.0068  0.0378  0.0377  0.0378  0.03
Groot 1988   29  0.4351  0.0036  0.0933  0.4930  0.2640  0.36
Harasiewicz 1955   33  0.4152  0.0046  0.0949  0.0969  0.0460  0.06
Hatto 1993   49  0.3253  0.0050  0.1245  0.1265  0.0654  0.08
Hatto 1997   73  0.1354  0.0071  0.0383  0.0387  0.0285  0.02
Horowitz 1949   13  0.4955  0.0012  0.1512  0.733  0.788  0.75
Indjic 1988   52  0.3020  0.0051  0.1147  0.1163  0.0653  0.08
Kapell 1951   41  0.3856  0.0032  0.0838  0.4131  0.2741  0.33
Kissin 1993   30  0.4321  0.0030  0.0828  0.5120  0.6024  0.55
Kushner 1989   42  0.3657  0.0047  0.0952  0.0945  0.1052  0.09
Luisada 1991   24  0.4458  0.0040  0.1834  0.4531  0.3437  0.39
Lushtak 2004   56  0.2759  0.0055  0.0757  0.0751  0.0657  0.06
Malcuzynski 1961   38  0.3922  0.0045  0.0853  0.0841  0.1350  0.10
Magaloff 1978   8  0.534  0.009  0.177  0.7810  0.719  0.74
Magin 1975   43  0.3560  0.0029  0.0841  0.3127  0.4838  0.39
Michalowski 1933   18  0.485  0.0016  0.1129  0.5114  0.5128  0.51
Milkina 1970   85  0.0061  0.0084  0.0385  0.0383  0.0284  0.02
Mohovich 1999   62  0.2062  0.0067  0.0470  0.0480  0.0377  0.03
Moravec 1969   53  0.2823  0.0056  0.0759  0.0753  0.0461  0.05
Morozova 2008   32  0.4124  0.0021  0.1232  0.5019  0.4233  0.46
Neighaus 1950   26  0.4425  0.0025  0.0926  0.5327  0.3336  0.42
Niedzielski 1931   22  0.4663  0.0017  0.1321  0.5816  0.5323  0.55
Ohlsson 1999   12  0.5064  0.0014  0.1217  0.668  0.6218  0.64
Osinska 1989   50  0.3165  0.0053  0.0951  0.0943  0.1149  0.10
Pachmann 1927   4  0.6126  0.004  0.304  0.803  0.854  0.82
Paderewski 1930   28  0.432  0.0038  0.1136  0.4422  0.5430  0.49
Perlemuter 1992   20  0.4727  0.0023  0.0820  0.6010  0.6817  0.64
Pierdomenico 2008   34  0.416  0.0044  0.1144  0.2121  0.4242  0.30
Poblocka 1999   35  0.4014  0.0039  0.1435  0.4515  0.4534  0.45
Rabcewiczowa 1932   84  0.0266  0.0086  0.0382  0.0389  0.0183  0.02
Rachmaninoff 1923   17  0.4867  0.0011  0.1516  0.679  0.7013  0.68
Rangell 2001   44  0.3568  0.0043  0.1042  0.2421  0.3543  0.29
Richter 1976   6  0.5828  0.007  0.325  0.8011  0.795  0.79
Rosen 1989   14  0.4969  0.0015  0.1314  0.709  0.6414  0.67
Rosenthal 1930   59  0.2570  0.0064  0.0758  0.0757  0.0556  0.06
Rosenthal 1931   83  0.0571  0.0080  0.0379  0.0376  0.0374  0.03
Rosenthal 1931b   79  0.1172  0.0076  0.0475  0.0465  0.0467  0.04
Rosenthal 1931c   68  0.1773  0.0057  0.0665  0.0667  0.0368  0.04
Rosenthal 1931d   80  0.1074  0.0066  0.0469  0.0472  0.0379  0.03
Rossi 2007   65  0.1875  0.0059  0.0662  0.0611  0.5147  0.17
Rubinstein 1939   82  0.0876  0.0083  0.0474  0.0487  0.0272  0.03
Rubinstein 1952   66  0.1877  0.0072  0.0376  0.0380  0.0380  0.03
Rubinstein 1966   63  0.2078  0.0070  0.0567  0.0587  0.0365  0.04
Schilhawsky 1960   39  0.3979  0.0028  0.0737  0.4214  0.5032  0.46
Shebanova 2002   5  0.5880  0.005  0.319  0.7614  0.6812  0.72
Smith 1975   76  0.1181  0.0082  0.0386  0.0386  0.0282  0.02
Sokolov 2002   60  0.2482  0.0061  0.0855  0.0861  0.0362  0.05
Sztompka 1959   16  0.4883  0.0019  0.1515  0.7010  0.6116  0.65
Tomsic 1995   71  0.1484  0.0073  0.0381  0.0377  0.0373  0.03
Uninsky 1932   7  0.5585  0.006  0.278  0.782  0.746  0.76
Uninsky 1971   58  0.2515  0.0054  0.0950  0.0965  0.0455  0.06
Wasowski 1980   9  0.5386  0.0010  0.2510  0.747  0.7110  0.72
Zak 1937   21  0.4729  0.0018  0.1313  0.703  0.7511  0.72
Zak 1951   27  0.4387  0.0031  0.0824  0.544  0.7020  0.61
Random 1   86  -0.0388  0.0085  0.0384  0.0368  0.0376  0.03
Random 2   88  -0.0889  0.0087  0.0288  0.0274  0.0386  0.02
Random 3   89  -0.1090  0.0089  0.0189  0.0189  0.0190  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).