Garcia 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   74  0.1944  0.0064  0.0463  0.0484  0.0273  0.03
Anderszewski 2003   26  0.3010  0.0115  0.1215  0.4473  0.0322  0.11
Ashkenazy 1981   9  0.3638  0.0017  0.1012  0.4881  0.0320  0.12
Bacha 2000   32  0.2942  0.0045  0.0554  0.0558  0.0448  0.04
Badura 1965   83  0.1055  0.0082  0.0371  0.0384  0.0285  0.02
Barbosa 1983   36  0.286  0.0316  0.1024  0.3349  0.0519  0.13
Biret 1990   43  0.2737  0.0056  0.0553  0.0587  0.0277  0.03
Blet 2003   45  0.2640  0.0042  0.0540  0.1377  0.0437  0.07
Block 1995   2  0.442  0.183  0.331  0.7821  0.333  0.51
Blumental 1952   50  0.2516  0.0123  0.0933  0.1957  0.0430  0.09
Boshniakovich 1969   1  0.443  0.142  0.372  0.7626  0.362  0.52
Brailowsky 1960   20  0.3330  0.0030  0.0730  0.2379  0.0332  0.08
Bunin 1987   34  0.2962  0.0050  0.0557  0.0569  0.0453  0.04
Bunin 1987b   33  0.2985  0.0051  0.0845  0.0870  0.0344  0.05
Chiu 1999   31  0.2923  0.0032  0.0532  0.2077  0.0333  0.08
Cohen 1997   79  0.1539  0.0080  0.0283  0.0276  0.0386  0.02
Cortot 1951   52  0.2563  0.0057  0.0552  0.0568  0.0455  0.04
Csalog 1996   82  0.1380  0.0084  0.0282  0.0277  0.0383  0.02
Czerny 1949   86  0.0782  0.0086  0.0375  0.0389  0.0284  0.02
Czerny 1990   29  0.2983  0.0037  0.0531  0.2184  0.0336  0.08
Duchoud 2007   22  0.3160  0.0033  0.0628  0.2782  0.0328  0.09
Ezaki 2006   76  0.1841  0.0058  0.0464  0.0484  0.0256  0.03
Falvay 1989   71  0.2022  0.0065  0.0461  0.0485  0.0361  0.03
Farrell 1958   54  0.2452  0.0060  0.0460  0.0479  0.0364  0.03
Ferenczy 1958   65  0.2148  0.0075  0.0374  0.0378  0.0371  0.03
Fliere 1977   4  0.4020  0.005  0.235  0.6469  0.0410  0.16
Fou 1978   56  0.2474  0.0069  0.0367  0.0384  0.0365  0.03
Francois 1956   85  0.0986  0.0085  0.0281  0.0286  0.0289  0.02
Friedman 1923   38  0.2835  0.0026  0.0625  0.3129  0.246  0.27
Friedman 1923b   28  0.3045  0.0025  0.0621  0.3524  0.295  0.32
Friedman 1930   58  0.2465  0.0040  0.0539  0.1346  0.0627  0.09
Garcia 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007b   3  0.431  0.371  0.373  0.742  0.731  0.73
Gierzod 1998   62  0.2149  0.0052  0.0648  0.0687  0.0274  0.03
Gornostaeva 1994   61  0.2275  0.0074  0.0379  0.0382  0.0376  0.03
Groot 1988   35  0.2915  0.0131  0.0636  0.1780  0.0243  0.06
Harasiewicz 1955   13  0.345  0.038  0.137  0.6470  0.0316  0.14
Hatto 1993   41  0.2858  0.0046  0.0651  0.0672  0.0354  0.04
Hatto 1997   75  0.1924  0.0071  0.0369  0.0386  0.0370  0.03
Horowitz 1949   42  0.2834  0.0044  0.0544  0.1080  0.0345  0.05
Indjic 1988   46  0.2666  0.0047  0.0647  0.0671  0.0352  0.04
Kapell 1951   25  0.3033  0.0035  0.0734  0.1971  0.0426  0.09
Kissin 1993   64  0.2187  0.0070  0.0372  0.0374  0.0469  0.03
Kushner 1989   21  0.3250  0.0018  0.1320  0.4075  0.0321  0.11
Luisada 1991   7  0.3759  0.0021  0.0816  0.4363  0.0513  0.15
Lushtak 2004   30  0.2988  0.0036  0.0637  0.1780  0.0338  0.07
Malcuzynski 1961   49  0.2656  0.0055  0.0555  0.0583  0.0350  0.04
Magaloff 1978   40  0.2812  0.0129  0.0829  0.2472  0.0334  0.08
Magin 1975   66  0.2176  0.0067  0.0366  0.0376  0.0363  0.03
Michalowski 1933   16  0.3353  0.0011  0.088  0.6359  0.058  0.18
Milkina 1970   81  0.1417  0.0166  0.0377  0.0382  0.0366  0.03
Mohovich 1999   5  0.394  0.066  0.144  0.6760  0.0412  0.16
Moravec 1969   77  0.1790  0.0063  0.0458  0.0484  0.0257  0.03
Morozova 2008   39  0.2825  0.0024  0.1023  0.3377  0.0325  0.10
Neighaus 1950   12  0.3431  0.0022  0.1117  0.4386  0.0231  0.09
Niedzielski 1931   27  0.307  0.024  0.2613  0.4714  0.354  0.41
Ohlsson 1999   60  0.2336  0.0038  0.0541  0.1385  0.0340  0.06
Osinska 1989   55  0.2469  0.0073  0.0378  0.0381  0.0359  0.03
Pachmann 1927   70  0.2051  0.0062  0.0365  0.0379  0.0368  0.03
Paderewski 1930   51  0.2557  0.0053  0.0649  0.0658  0.0446  0.05
Perlemuter 1992   19  0.3311  0.0114  0.1010  0.5775  0.0317  0.13
Pierdomenico 2008   14  0.3427  0.0034  0.0635  0.1982  0.0335  0.08
Poblocka 1999   18  0.3319  0.0019  0.1018  0.4277  0.0418  0.13
Rabcewiczowa 1932   73  0.1970  0.0078  0.0380  0.0379  0.0281  0.02
Rachmaninoff 1923   44  0.2777  0.0039  0.0538  0.1478  0.0339  0.06
Rangell 2001   17  0.3318  0.0028  0.0726  0.3163  0.0423  0.11
Richter 1976   8  0.3713  0.017  0.129  0.6245  0.077  0.21
Rosen 1989   15  0.3329  0.0027  0.0627  0.2972  0.0329  0.09
Rosenthal 1930   72  0.2071  0.0079  0.0376  0.0376  0.0375  0.03
Rosenthal 1931   78  0.1589  0.0076  0.0284  0.0285  0.0282  0.02
Rosenthal 1931b   59  0.2361  0.0061  0.0462  0.0467  0.0378  0.03
Rosenthal 1931c   69  0.2032  0.0072  0.0373  0.0373  0.0379  0.03
Rosenthal 1931d   68  0.2043  0.0077  0.0285  0.0275  0.0387  0.02
Rossi 2007   84  0.1072  0.0081  0.0370  0.0361  0.0360  0.03
Rubinstein 1939   87  0.0767  0.0087  0.0287  0.0272  0.0380  0.02
Rubinstein 1952   80  0.1478  0.0083  0.0286  0.0280  0.0388  0.02
Rubinstein 1966   37  0.289  0.0143  0.0642  0.1177  0.0341  0.06
Schilhawsky 1960   57  0.2428  0.0041  0.0643  0.1180  0.0342  0.06
Shebanova 2002   11  0.358  0.0220  0.0814  0.4556  0.0611  0.16
Smith 1975   63  0.2168  0.0068  0.0459  0.0482  0.0362  0.03
Sokolov 2002   53  0.2546  0.0049  0.0556  0.0580  0.0349  0.04
Sztompka 1959   24  0.3114  0.0110  0.0811  0.5062  0.0415  0.14
Tomsic 1995   47  0.2684  0.0048  0.0650  0.0685  0.0267  0.03
Uninsky 1932   6  0.3821  0.0012  0.106  0.6457  0.059  0.18
Uninsky 1971   48  0.2673  0.0054  0.0646  0.0680  0.0351  0.04
Wasowski 1980   67  0.2147  0.0059  0.0368  0.0373  0.0458  0.03
Zak 1937   10  0.3526  0.009  0.1519  0.4149  0.0514  0.14
Zak 1951   23  0.3154  0.0013  0.1022  0.3482  0.0324  0.10
Random 1   88  -0.0581  0.0088  0.0288  0.0236  0.1347  0.05
Random 2   89  -0.0764  0.0089  0.0289  0.0261  0.0472  0.03
Random 3   90  -0.1279  0.0090  0.0190  0.0185  0.0290  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).