Friedman 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   29  0.3620  0.0016  0.0814  0.4813  0.487  0.48
Anderszewski 2003   49  0.3156  0.0054  0.0651  0.0674  0.0366  0.04
Ashkenazy 1981   40  0.3314  0.0129  0.0724  0.3716  0.439  0.40
Bacha 2000   86  0.1581  0.0086  0.0386  0.0369  0.0370  0.03
Badura 1965   41  0.3315  0.0144  0.0641  0.1749  0.0740  0.11
Barbosa 1983   47  0.3247  0.0043  0.0742  0.1760  0.0641  0.10
Biret 1990   8  0.4327  0.007  0.138  0.5854  0.0521  0.17
Blet 2003   64  0.2667  0.0066  0.0463  0.0481  0.0380  0.03
Block 1995   76  0.2489  0.0065  0.0559  0.0570  0.0467  0.04
Blumental 1952   33  0.3538  0.0025  0.0823  0.3859  0.0525  0.14
Boshniakovich 1969   22  0.3868  0.0039  0.0833  0.2579  0.0344  0.09
Brailowsky 1960   46  0.3216  0.0135  0.0640  0.2050  0.0733  0.12
Bunin 1987   56  0.2922  0.0032  0.0736  0.2346  0.0731  0.13
Bunin 1987b   73  0.2582  0.0045  0.0745  0.1459  0.0547  0.08
Chiu 1999   20  0.387  0.0222  0.0632  0.2662  0.0536  0.11
Cohen 1997   74  0.2558  0.0053  0.0750  0.0745  0.0849  0.07
Cortot 1951   88  0.0090  0.0089  0.0289  0.0291  0.0191  0.01
Csalog 1996   52  0.3118  0.0055  0.0656  0.0670  0.0455  0.05
Czerny 1949   65  0.2671  0.0075  0.0385  0.0383  0.0287  0.02
Czerny 1990   11  0.4248  0.0019  0.0822  0.4257  0.0526  0.14
Duchoud 2007   62  0.2724  0.0058  0.0562  0.0545  0.1543  0.09
Ezaki 2006   67  0.2674  0.0067  0.0376  0.0381  0.0369  0.03
Falvay 1989   7  0.4352  0.008  0.159  0.5751  0.0518  0.17
Farrell 1958   68  0.2683  0.0078  0.0473  0.0459  0.0563  0.04
Ferenczy 1958   45  0.3223  0.0051  0.0652  0.0648  0.0752  0.06
Fliere 1977   31  0.3678  0.0048  0.0658  0.0673  0.0553  0.05
Fou 1978   57  0.2828  0.0071  0.0470  0.0484  0.0374  0.03
Francois 1956   39  0.3333  0.0021  0.0631  0.2834  0.2516  0.26
Friedman 1923   2  0.622  0.172  0.701  0.852  0.841  0.84
Friedman 1923b   1  0.631  0.581  0.572  0.822  0.832  0.82
Friedman 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007   55  0.2959  0.0070  0.0378  0.0363  0.0483  0.03
Garcia 2007b   26  0.3719  0.0041  0.0644  0.1564  0.0546  0.09
Gierzod 1998   9  0.4330  0.0011  0.1112  0.5258  0.0523  0.16
Gornostaeva 1994   19  0.3849  0.0034  0.0630  0.3048  0.0632  0.13
Groot 1988   30  0.3642  0.0024  0.0617  0.4677  0.0427  0.14
Harasiewicz 1955   17  0.3943  0.0038  0.0735  0.2476  0.0348  0.08
Hatto 1993   15  0.4075  0.0012  0.1111  0.5253  0.0524  0.16
Hatto 1997   23  0.3821  0.0026  0.0720  0.4380  0.0339  0.11
Horowitz 1949   48  0.3161  0.0042  0.0638  0.2011  0.5012  0.32
Indjic 1988   25  0.3739  0.0023  0.0619  0.4476  0.0338  0.11
Kapell 1951   83  0.2062  0.0084  0.0472  0.0484  0.0275  0.03
Kissin 1993   81  0.2184  0.0082  0.0382  0.0377  0.0478  0.03
Kushner 1989   27  0.3712  0.0136  0.0629  0.3065  0.0437  0.11
Luisada 1991   35  0.3546  0.0027  0.0818  0.4629  0.3110  0.38
Lushtak 2004   32  0.3664  0.0046  0.0746  0.0769  0.0458  0.05
Malcuzynski 1961   61  0.2753  0.0072  0.0381  0.0382  0.0285  0.02
Magaloff 1978   60  0.2785  0.0060  0.0655  0.0675  0.0361  0.04
Magin 1975   10  0.425  0.029  0.147  0.5941  0.1515  0.30
Michalowski 1933   80  0.2136  0.0079  0.0379  0.0337  0.1451  0.06
Milkina 1970   16  0.399  0.0114  0.1213  0.4959  0.0619  0.17
Mohovich 1999   36  0.3529  0.0037  0.0734  0.2471  0.0442  0.10
Moravec 1969   63  0.2769  0.0068  0.0471  0.0476  0.0371  0.03
Morozova 2008   77  0.2486  0.0076  0.0380  0.0379  0.0381  0.03
Neighaus 1950   34  0.3517  0.0031  0.0643  0.1530  0.2617  0.20
Niedzielski 1931   54  0.298  0.0115  0.0727  0.3217  0.4011  0.36
Ohlsson 1999   21  0.3850  0.0030  0.0828  0.3150  0.0535  0.12
Osinska 1989   14  0.4051  0.0020  0.0725  0.3666  0.0529  0.13
Pachmann 1927   82  0.2135  0.0085  0.0475  0.0466  0.0377  0.03
Paderewski 1930   84  0.1941  0.0062  0.0464  0.0467  0.0464  0.04
Perlemuter 1992   24  0.3731  0.0017  0.0815  0.488  0.506  0.49
Pierdomenico 2008   59  0.2725  0.0061  0.0466  0.0458  0.0562  0.04
Poblocka 1999   58  0.2772  0.0057  0.0561  0.0580  0.0359  0.04
Rabcewiczowa 1932   38  0.3432  0.0028  0.0726  0.3566  0.0434  0.12
Rachmaninoff 1923   42  0.3244  0.0033  0.0637  0.2242  0.1222  0.16
Rangell 2001   70  0.2670  0.0077  0.0383  0.0350  0.0668  0.04
Richter 1976   69  0.2634  0.0074  0.0474  0.0470  0.0376  0.03
Rosen 1989   12  0.4265  0.0013  0.1116  0.4743  0.2014  0.31
Rosenthal 1930   44  0.3276  0.0056  0.0747  0.0737  0.2330  0.13
Rosenthal 1931   72  0.2573  0.0064  0.0560  0.0564  0.0465  0.04
Rosenthal 1931b   43  0.3226  0.0052  0.0749  0.0729  0.3028  0.14
Rosenthal 1931c   51  0.3166  0.0047  0.0657  0.0651  0.0850  0.07
Rosenthal 1931d   66  0.2654  0.0069  0.0384  0.0366  0.0484  0.03
Rossi 2007   79  0.2263  0.0080  0.0469  0.0456  0.0560  0.04
Rubinstein 1939   75  0.2587  0.0073  0.0377  0.0359  0.0473  0.03
Rubinstein 1952   37  0.3557  0.0040  0.0639  0.2071  0.0445  0.09
Rubinstein 1966   28  0.3737  0.0049  0.0653  0.0665  0.0556  0.05
Schilhawsky 1960   53  0.3079  0.0059  0.0748  0.0787  0.0357  0.05
Shebanova 2002   6  0.4711  0.016  0.396  0.6813  0.515  0.59
Smith 1975   18  0.3813  0.0118  0.0721  0.4241  0.2313  0.31
Sokolov 2002   78  0.2388  0.0081  0.0465  0.0471  0.0372  0.03
Sztompka 1959   50  0.3140  0.0050  0.0654  0.0654  0.0554  0.05
Tomsic 1995   85  0.1777  0.0083  0.0287  0.0287  0.0286  0.02
Uninsky 1932   87  0.1091  0.0087  0.0468  0.0489  0.0282  0.03
Uninsky 1971   71  0.2655  0.0063  0.0467  0.0480  0.0379  0.03
Wasowski 1980   13  0.416  0.0210  0.1610  0.5331  0.358  0.43
Zak 1937   5  0.504  0.035  0.325  0.7113  0.594  0.65
Zak 1951   4  0.513  0.034  0.273  0.7411  0.613  0.67
Average   3  0.5310  0.013  0.284  0.7465  0.0420  0.17
Random 1   91  -0.1445  0.0091  0.0191  0.0177  0.0290  0.01
Random 2   89  -0.0660  0.0090  0.0190  0.0172  0.0388  0.02
Random 3   90  -0.0780  0.0088  0.0288  0.0263  0.0389  0.02

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).