Friedman 1923

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   43  0.3114  0.0044  0.0543  0.1040  0.1529  0.12
Anderszewski 2003   35  0.3323  0.0041  0.0641  0.1376  0.0344  0.06
Ashkenazy 1981   24  0.3660  0.0015  0.1416  0.5113  0.455  0.48
Bacha 2000   65  0.2561  0.0066  0.0566  0.0574  0.0357  0.04
Badura 1965   8  0.4115  0.007  0.1112  0.5315  0.454  0.49
Barbosa 1983   38  0.3343  0.0038  0.0638  0.1971  0.0439  0.09
Biret 1990   32  0.3424  0.0032  0.0626  0.3687  0.0242  0.08
Blet 2003   53  0.286  0.0059  0.0648  0.0678  0.0369  0.04
Block 1995   39  0.3262  0.0027  0.0731  0.3052  0.0530  0.12
Blumental 1952   23  0.3630  0.0026  0.0627  0.3346  0.0817  0.16
Boshniakovich 1969   33  0.3463  0.0019  0.1117  0.5164  0.0425  0.14
Brailowsky 1960   17  0.3711  0.0023  0.1124  0.4065  0.0524  0.14
Bunin 1987   74  0.2164  0.0048  0.0563  0.0574  0.0372  0.04
Bunin 1987b   86  0.1465  0.0074  0.0478  0.0481  0.0378  0.03
Chiu 1999   69  0.2466  0.0077  0.0473  0.0476  0.0376  0.03
Cohen 1997   75  0.219  0.0060  0.0649  0.0669  0.0454  0.05
Cortot 1951   87  0.1267  0.0087  0.0482  0.0484  0.0284  0.03
Csalog 1996   73  0.2168  0.0078  0.0385  0.0379  0.0480  0.03
Czerny 1949   46  0.3012  0.0047  0.0564  0.0570  0.0470  0.04
Czerny 1990   11  0.4069  0.0016  0.158  0.5666  0.0421  0.15
Duchoud 2007   76  0.2021  0.0075  0.0472  0.0452  0.0652  0.05
Ezaki 2006   66  0.2570  0.0073  0.0470  0.0474  0.0456  0.04
Falvay 1989   27  0.3571  0.0030  0.0735  0.2372  0.0435  0.10
Farrell 1958   71  0.2372  0.0070  0.0555  0.0581  0.0363  0.04
Ferenczy 1958   48  0.3016  0.0040  0.0639  0.1561  0.0540  0.09
Fliere 1977   34  0.3473  0.0045  0.0445  0.0887  0.0348  0.05
Fou 1978   16  0.3744  0.0017  0.1319  0.4960  0.0516  0.16
Francois 1956   30  0.357  0.006  0.2115  0.5112  0.466  0.48
Friedman 1923   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1923b   1  0.951  0.981  0.971  0.991  0.991  0.99
Friedman 1930   2  0.622  0.012  0.632  0.841  0.852  0.84
Garcia 2007   81  0.1717  0.0084  0.0386  0.0376  0.0483  0.03
Garcia 2007b   57  0.275  0.0064  0.0471  0.0478  0.0385  0.03
Gierzod 1998   40  0.3274  0.0049  0.0552  0.0583  0.0371  0.04
Gornostaeva 1994   18  0.3775  0.0014  0.1413  0.5254  0.0518  0.16
Groot 1988   62  0.2613  0.0056  0.0559  0.0578  0.0473  0.04
Harasiewicz 1955   19  0.3776  0.0029  0.0730  0.3181  0.0337  0.10
Hatto 1993   14  0.3977  0.0010  0.135  0.5769  0.0422  0.15
Hatto 1997   10  0.4078  0.0011  0.197  0.5753  0.0514  0.17
Horowitz 1949   52  0.2936  0.0054  0.0476  0.0428  0.3132  0.11
Indjic 1988   12  0.3945  0.0012  0.1210  0.5558  0.0420  0.15
Kapell 1951   79  0.1946  0.0083  0.0387  0.0383  0.0286  0.02
Kissin 1993   55  0.2825  0.0065  0.0565  0.0571  0.0466  0.04
Kushner 1989   31  0.3447  0.0039  0.0837  0.1976  0.0438  0.09
Luisada 1991   29  0.3548  0.0024  0.1123  0.4147  0.0615  0.16
Lushtak 2004   20  0.3649  0.0028  0.0728  0.3280  0.0433  0.11
Malcuzynski 1961   50  0.2979  0.0061  0.0746  0.0778  0.0349  0.05
Magaloff 1978   44  0.3122  0.0050  0.0554  0.0579  0.0361  0.04
Magin 1975   45  0.3126  0.0052  0.0557  0.0575  0.0462  0.04
Michalowski 1933   88  0.1080  0.0088  0.0481  0.0448  0.0465  0.04
Milkina 1970   21  0.3681  0.0021  0.1520  0.4782  0.0328  0.12
Mohovich 1999   22  0.3610  0.0025  0.0825  0.3768  0.0431  0.12
Moravec 1969   70  0.2482  0.0072  0.0477  0.0482  0.0374  0.03
Morozova 2008   77  0.2031  0.0076  0.0474  0.0477  0.0382  0.03
Neighaus 1950   4  0.4683  0.003  0.3814  0.529  0.553  0.53
Niedzielski 1931   63  0.2632  0.0036  0.0642  0.1253  0.0641  0.08
Ohlsson 1999   28  0.3550  0.0033  0.0729  0.3260  0.0526  0.13
Osinska 1989   37  0.338  0.0037  0.0736  0.2167  0.0534  0.10
Pachmann 1927   80  0.1951  0.0081  0.0480  0.0478  0.0379  0.03
Paderewski 1930   78  0.2037  0.0051  0.0553  0.0547  0.0651  0.05
Perlemuter 1992   68  0.2438  0.0057  0.0556  0.0571  0.0458  0.04
Pierdomenico 2008   83  0.1684  0.0086  0.0479  0.0471  0.0377  0.03
Poblocka 1999   54  0.2852  0.0069  0.0475  0.0479  0.0459  0.04
Rabcewiczowa 1932   61  0.2685  0.0042  0.0640  0.1380  0.0343  0.06
Rachmaninoff 1923   25  0.3539  0.0022  0.1222  0.4534  0.258  0.34
Rangell 2001   64  0.2633  0.0071  0.0650  0.0656  0.0645  0.06
Richter 1976   67  0.243  0.0043  0.0544  0.0971  0.0350  0.05
Rosen 1989   26  0.3553  0.0035  0.0833  0.2846  0.0627  0.13
Rosenthal 1930   51  0.2940  0.0068  0.0651  0.0657  0.0553  0.05
Rosenthal 1931   59  0.2754  0.0062  0.0468  0.0476  0.0468  0.04
Rosenthal 1931b   60  0.2755  0.0067  0.0560  0.0546  0.0655  0.05
Rosenthal 1931c   49  0.2986  0.0053  0.0467  0.0447  0.1047  0.06
Rosenthal 1931d   58  0.2756  0.0063  0.0558  0.0546  0.0846  0.06
Rossi 2007   82  0.1741  0.0080  0.0383  0.0384  0.0375  0.03
Rubinstein 1939   15  0.3842  0.0020  0.1221  0.4654  0.0519  0.15
Rubinstein 1952   6  0.434  0.005  0.324  0.6644  0.149  0.30
Rubinstein 1966   5  0.4427  0.008  0.146  0.5756  0.0613  0.18
Schilhawsky 1960   72  0.2257  0.0079  0.0469  0.0483  0.0381  0.03
Shebanova 2002   42  0.3218  0.0034  0.0834  0.2769  0.0436  0.10
Smith 1975   7  0.4228  0.0013  0.1811  0.5437  0.277  0.38
Sokolov 2002   56  0.2787  0.0058  0.0647  0.0676  0.0360  0.04
Sztompka 1959   41  0.3288  0.0046  0.0561  0.0569  0.0464  0.04
Tomsic 1995   84  0.1634  0.0082  0.0289  0.0280  0.0387  0.02
Uninsky 1932   85  0.1589  0.0085  0.0384  0.0384  0.0288  0.02
Uninsky 1971   47  0.3058  0.0055  0.0562  0.0579  0.0467  0.04
Wasowski 1980   36  0.3319  0.0031  0.0632  0.2850  0.0723  0.14
Zak 1937   9  0.4120  0.009  0.139  0.5541  0.1410  0.28
Zak 1951   13  0.3929  0.0018  0.1618  0.5139  0.1011  0.23
Average   3  0.5035  0.004  0.483  0.7960  0.0512  0.20
Random 1   90  -0.0990  0.0089  0.0288  0.0265  0.0389  0.02
Random 2   89  -0.0859  0.0090  0.0190  0.0185  0.0290  0.01
Random 3   91  -0.1491  0.0091  0.0191  0.0189  0.0191  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).