Friedman 1923b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   15  0.4918  0.0011  0.1110  0.5182  0.0325  0.12
Anderszewski 2003   17  0.4827  0.0033  0.0735  0.2466  0.0336  0.08
Ashkenazy 1981   14  0.4965  0.0027  0.0920  0.3684  0.0329  0.10
Bacha 2000   62  0.3245  0.0070  0.0560  0.0585  0.0353  0.04
Badura 1965   23  0.465  0.0020  0.0818  0.3973  0.0426  0.12
Barbosa 1983   56  0.3528  0.0063  0.0656  0.0680  0.0369  0.04
Biret 1990   44  0.3719  0.0054  0.0652  0.0683  0.0374  0.04
Blet 2003   32  0.4329  0.0026  0.0830  0.2975  0.0332  0.09
Block 1995   66  0.2966  0.0018  0.0739  0.1785  0.0344  0.07
Blumental 1952   28  0.4446  0.0016  0.0819  0.3730  0.1710  0.25
Boshniakovich 1969   46  0.3720  0.0042  0.0740  0.1762  0.0440  0.08
Brailowsky 1960   75  0.2314  0.0082  0.0384  0.0382  0.0377  0.03
Bunin 1987   42  0.389  0.0038  0.0625  0.3149  0.0617  0.14
Bunin 1987b   48  0.3730  0.0039  0.0926  0.3049  0.0621  0.13
Chiu 1999   37  0.4031  0.0062  0.0653  0.0683  0.0359  0.04
Cohen 1997   86  0.0667  0.0091  0.0191  0.0189  0.0290  0.01
Cortot 1951   20  0.4768  0.0022  0.0717  0.4057  0.0519  0.14
Csalog 1996   88  0.0010  0.0085  0.0286  0.0287  0.0289  0.02
Czerny 1949   12  0.5169  0.005  0.187  0.5727  0.306  0.41
Czerny 1990   22  0.4670  0.0015  0.1012  0.4861  0.0418  0.14
Duchoud 2007   38  0.4032  0.0043  0.0642  0.1558  0.0439  0.08
Ezaki 2006   10  0.5147  0.0021  0.0713  0.4775  0.0323  0.12
Falvay 1989   85  0.0748  0.0089  0.0189  0.0187  0.0388  0.02
Farrell 1958   30  0.4471  0.0045  0.0743  0.1384  0.0347  0.06
Ferenczy 1958   57  0.3521  0.0040  0.0644  0.1257  0.0538  0.08
Fliere 1977   25  0.454  0.0034  0.0737  0.2280  0.0334  0.08
Fou 1978   72  0.2649  0.0074  0.0571  0.0588  0.0362  0.04
Francois 1956   63  0.3012  0.0050  0.0572  0.0581  0.0376  0.04
Friedman 1923   1  1.001  1.001  0.991  1.001  1.001  1.00
Friedman 1923b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1930   2  0.792  0.002  0.702  0.802  0.772  0.78
Garcia 2007   34  0.4250  0.0051  0.0476  0.0482  0.0383  0.03
Garcia 2007b   27  0.4451  0.0032  0.0733  0.2647  0.0627  0.12
Gierzod 1998   21  0.4672  0.0017  0.0916  0.4365  0.0422  0.13
Gornostaeva 1994   50  0.3773  0.0036  0.0738  0.2263  0.0433  0.09
Groot 1988   70  0.2774  0.0064  0.0561  0.0557  0.0475  0.04
Harasiewicz 1955   26  0.457  0.0041  0.0736  0.2371  0.0341  0.08
Hatto 1993   5  0.5733  0.0025  0.1124  0.3145  0.0914  0.17
Hatto 1997   3  0.5875  0.009  0.1021  0.3629  0.219  0.27
Horowitz 1949   53  0.3576  0.0061  0.0846  0.0870  0.0349  0.05
Indjic 1988   4  0.5734  0.0024  0.0923  0.3134  0.1511  0.22
Kapell 1951   47  0.3777  0.0031  0.0822  0.3449  0.0520  0.13
Kissin 1993   69  0.2735  0.0067  0.0567  0.0567  0.0468  0.04
Kushner 1989   39  0.3911  0.0055  0.0562  0.0588  0.0280  0.03
Luisada 1991   29  0.4436  0.0044  0.0645  0.1263  0.0442  0.07
Lushtak 2004   33  0.4352  0.0053  0.0748  0.0762  0.0452  0.05
Malcuzynski 1961   43  0.3778  0.0013  0.0932  0.2766  0.0428  0.10
Magaloff 1978   64  0.3079  0.0066  0.0565  0.0566  0.0460  0.04
Magin 1975   35  0.4153  0.0019  0.0828  0.2988  0.0235  0.08
Michalowski 1933   24  0.4680  0.0010  0.099  0.5233  0.297  0.39
Milkina 1970   73  0.2454  0.0072  0.0473  0.0486  0.0464  0.04
Mohovich 1999   59  0.333  0.0058  0.0566  0.0568  0.0473  0.04
Moravec 1969   78  0.2122  0.0071  0.0655  0.0669  0.0354  0.04
Morozova 2008   18  0.4837  0.0028  0.0729  0.2988  0.0237  0.08
Neighaus 1950   8  0.5413  0.007  0.158  0.5461  0.0515  0.16
Niedzielski 1931   40  0.3955  0.0030  0.0631  0.2740  0.1412  0.19
Ohlsson 1999   31  0.4481  0.0035  0.0934  0.2582  0.0331  0.09
Osinska 1989   41  0.3856  0.0047  0.0657  0.0659  0.0448  0.05
Pachmann 1927   79  0.2082  0.0084  0.0382  0.0379  0.0382  0.03
Paderewski 1930   60  0.328  0.0048  0.0475  0.0458  0.0467  0.04
Perlemuter 1992   49  0.3757  0.0037  0.0641  0.1678  0.0343  0.07
Pierdomenico 2008   82  0.1538  0.0081  0.0477  0.0480  0.0378  0.03
Poblocka 1999   54  0.3515  0.0046  0.0658  0.0677  0.0356  0.04
Rabcewiczowa 1932   58  0.3483  0.0049  0.0651  0.0670  0.0361  0.04
Rachmaninoff 1923   9  0.5423  0.008  0.116  0.5834  0.168  0.30
Rangell 2001   84  0.1484  0.0078  0.0381  0.0383  0.0384  0.03
Richter 1976   77  0.2285  0.0073  0.0563  0.0575  0.0366  0.04
Rosen 1989   19  0.4739  0.0014  0.0915  0.4660  0.0416  0.14
Rosenthal 1930   61  0.3258  0.0059  0.0559  0.0567  0.0372  0.04
Rosenthal 1931   76  0.2224  0.0077  0.0568  0.0573  0.0370  0.04
Rosenthal 1931b   74  0.2340  0.0076  0.0569  0.0588  0.0286  0.03
Rosenthal 1931c   71  0.2686  0.0068  0.0654  0.0687  0.0287  0.03
Rosenthal 1931d   81  0.1859  0.0079  0.0380  0.0373  0.0485  0.03
Rossi 2007   68  0.2887  0.0065  0.0474  0.0461  0.0458  0.04
Rubinstein 1939   80  0.1960  0.0083  0.0383  0.0386  0.0379  0.03
Rubinstein 1952   90  -0.0461  0.0090  0.0190  0.0188  0.0291  0.01
Rubinstein 1966   67  0.2941  0.0075  0.0478  0.0480  0.0471  0.04
Schilhawsky 1960   13  0.5116  0.0023  0.1114  0.4647  0.0713  0.18
Shebanova 2002   65  0.2988  0.0069  0.0747  0.0775  0.0450  0.05
Smith 1975   36  0.4142  0.0029  0.0627  0.2977  0.0330  0.09
Sokolov 2002   52  0.366  0.0052  0.0749  0.0788  0.0257  0.04
Sztompka 1959   7  0.5617  0.006  0.234  0.5930  0.285  0.41
Tomsic 1995   83  0.1589  0.0080  0.0479  0.0480  0.0381  0.03
Uninsky 1932   6  0.5643  0.003  0.353  0.649  0.543  0.59
Uninsky 1971   16  0.4925  0.004  0.215  0.5922  0.384  0.47
Wasowski 1980   55  0.3562  0.0060  0.0650  0.0687  0.0355  0.04
Zak 1937   45  0.3744  0.0057  0.0564  0.0583  0.0363  0.04
Zak 1951   51  0.3790  0.0056  0.0570  0.0579  0.0365  0.04
Average   11  0.5163  0.0012  0.0911  0.4985  0.0324  0.12
Random 1   91  -0.0764  0.0087  0.0188  0.0115  0.4345  0.07
Random 2   89  -0.0426  0.0086  0.0187  0.0120  0.2251  0.05
Random 3   87  0.0091  0.0088  0.0285  0.0228  0.2346  0.07

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).