Garcia 2007b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   53  0.2168  0.0053  0.0848  0.0859  0.0454  0.06
Anderszewski 2003   71  0.0942  0.0065  0.0559  0.0553  0.0658  0.05
Ashkenazy 1981   2  0.547  0.023  0.262  0.8218  0.692  0.75
Bacha 2000   48  0.2527  0.0041  0.0742  0.1630  0.2931  0.22
Badura 1965   63  0.1555  0.0064  0.0467  0.0471  0.0375  0.03
Barbosa 1983   25  0.3531  0.0025  0.1116  0.5920  0.4714  0.53
Biret 1990   39  0.3043  0.0055  0.0658  0.0645  0.1249  0.08
Blet 2003   13  0.418  0.028  0.1412  0.6825  0.5311  0.60
Block 1995   49  0.2423  0.0032  0.1037  0.3168  0.0443  0.11
Blumental 1952   26  0.3563  0.0026  0.1223  0.5220  0.5015  0.51
Boshniakovich 1969   21  0.3711  0.0128  0.1226  0.4835  0.3123  0.39
Brailowsky 1960   82  0.0446  0.0076  0.0379  0.0378  0.0367  0.03
Bunin 1987   11  0.4441  0.0011  0.1410  0.699  0.629  0.65
Bunin 1987b   10  0.4416  0.0010  0.159  0.699  0.626  0.65
Chiu 1999   22  0.3725  0.0016  0.1420  0.5530  0.3817  0.46
Cohen 1997   54  0.1919  0.0056  0.0657  0.0662  0.0459  0.05
Cortot 1951   86  -0.0176  0.0086  0.0288  0.0290  0.0191  0.01
Csalog 1996   51  0.2387  0.0047  0.0751  0.0754  0.0653  0.06
Czerny 1949   90  -0.0378  0.0090  0.0190  0.0183  0.0288  0.01
Czerny 1990   18  0.3979  0.0029  0.1233  0.3435  0.3924  0.36
Duchoud 2007   44  0.2880  0.0045  0.0645  0.1257  0.0547  0.08
Ezaki 2006   73  0.0888  0.0061  0.0375  0.0382  0.0283  0.02
Falvay 1989   50  0.2347  0.0044  0.0644  0.1466  0.0351  0.06
Farrell 1958   65  0.1258  0.0059  0.0562  0.0583  0.0361  0.04
Ferenczy 1958   87  -0.0252  0.0085  0.0384  0.0359  0.0664  0.04
Fliere 1977   15  0.4040  0.0023  0.1017  0.5946  0.1130  0.25
Fou 1978   46  0.2644  0.0048  0.0752  0.0760  0.0457  0.05
Francois 1956   67  0.1189  0.0077  0.0376  0.0368  0.0382  0.03
Friedman 1923   42  0.2859  0.0040  0.0740  0.2248  0.1041  0.15
Friedman 1923b   36  0.3114  0.0035  0.0830  0.3647  0.1133  0.20
Friedman 1930   32  0.3236  0.0034  0.1031  0.3547  0.1034  0.19
Garcia 2007   16  0.404  0.084  0.266  0.715  0.674  0.69
Garcia 2007b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gierzod 1998   88  -0.0271  0.0070  0.0563  0.0580  0.0273  0.03
Gornostaeva 1994   79  0.0690  0.0088  0.0287  0.0291  0.0190  0.01
Groot 1988   3  0.495  0.049  0.1911  0.6828  0.3616  0.49
Harasiewicz 1955   57  0.1839  0.0063  0.0377  0.0384  0.0379  0.03
Hatto 1993   7  0.4548  0.005  0.194  0.7614  0.595  0.67
Hatto 1997   27  0.3533  0.0014  0.1518  0.5523  0.3620  0.44
Horowitz 1949   9  0.4413  0.0117  0.1815  0.6125  0.5312  0.57
Indjic 1988   4  0.482  0.292  0.303  0.7910  0.653  0.72
Kapell 1951   31  0.3330  0.0038  0.0838  0.2846  0.0839  0.15
Kissin 1993   28  0.3529  0.0036  0.0932  0.3443  0.2826  0.31
Kushner 1989   12  0.4266  0.0012  0.1413  0.6514  0.5810  0.61
Luisada 1991   1  0.551  0.311  0.301  0.836  0.771  0.80
Lushtak 2004   58  0.179  0.0150  0.0847  0.0838  0.1345  0.10
Malcuzynski 1961   23  0.3717  0.0019  0.0921  0.5428  0.2822  0.39
Magaloff 1978   55  0.1849  0.0057  0.0564  0.0570  0.0460  0.04
Magin 1975   20  0.3910  0.0118  0.1327  0.4634  0.4218  0.44
Michalowski 1933   8  0.443  0.107  0.247  0.719  0.607  0.65
Milkina 1970   72  0.0934  0.0068  0.0468  0.0478  0.0370  0.03
Mohovich 1999   81  0.0564  0.0069  0.0465  0.0479  0.0376  0.03
Moravec 1969   60  0.1677  0.0054  0.0753  0.0763  0.0455  0.05
Morozova 2008   40  0.3024  0.0030  0.1335  0.3144  0.1035  0.18
Neighaus 1950   43  0.2869  0.0051  0.0654  0.0687  0.0278  0.03
Niedzielski 1931   38  0.3045  0.0033  0.0936  0.3153  0.0642  0.14
Ohlsson 1999   56  0.1837  0.0062  0.0474  0.0480  0.0462  0.04
Osinska 1989   76  0.0753  0.0078  0.0381  0.0387  0.0284  0.02
Pachmann 1927   52  0.2354  0.0046  0.0750  0.0767  0.0552  0.06
Paderewski 1930   29  0.3422  0.0022  0.1025  0.5232  0.3819  0.44
Perlemuter 1992   47  0.2681  0.0058  0.0656  0.0657  0.0556  0.05
Pierdomenico 2008   19  0.3920  0.0015  0.1619  0.5516  0.5313  0.54
Poblocka 1999   35  0.3126  0.0042  0.0843  0.1666  0.0546  0.09
Rabcewiczowa 1932   68  0.1082  0.0084  0.0380  0.0383  0.0286  0.02
Rachmaninoff 1923   34  0.3150  0.0039  0.0939  0.2336  0.2132  0.22
Rangell 2001   74  0.0860  0.0082  0.0382  0.0383  0.0377  0.03
Richter 1976   30  0.3418  0.0024  0.1124  0.5243  0.3221  0.41
Rosen 1989   69  0.1083  0.0071  0.0560  0.0576  0.0365  0.04
Rosenthal 1930   66  0.1265  0.0081  0.0383  0.0380  0.0374  0.03
Rosenthal 1931   89  -0.0274  0.0079  0.0385  0.0372  0.0372  0.03
Rosenthal 1931b   84  0.0384  0.0075  0.0469  0.0464  0.0466  0.04
Rosenthal 1931c   78  0.0691  0.0074  0.0473  0.0485  0.0280  0.03
Rosenthal 1931d   77  0.0615  0.0060  0.0749  0.0747  0.0750  0.07
Rossi 2007   85  0.0067  0.0089  0.0289  0.0281  0.0385  0.02
Rubinstein 1939   70  0.0975  0.0072  0.0470  0.0474  0.0369  0.03
Rubinstein 1952   64  0.1485  0.0073  0.0472  0.0486  0.0281  0.03
Rubinstein 1966   62  0.1670  0.0052  0.0655  0.0680  0.0363  0.04
Schilhawsky 1960   41  0.2938  0.0049  0.0946  0.0931  0.3038  0.16
Shebanova 2002   5  0.476  0.036  0.295  0.7628  0.568  0.65
Smith 1975   75  0.0772  0.0087  0.0286  0.0291  0.0187  0.01
Sokolov 2002   61  0.1628  0.0067  0.0466  0.0482  0.0268  0.03
Sztompka 1959   24  0.3686  0.0020  0.0722  0.5445  0.1329  0.26
Tomsic 1995   33  0.3212  0.0127  0.1228  0.4333  0.2027  0.29
Uninsky 1932   14  0.4021  0.0021  0.0914  0.6143  0.1825  0.33
Uninsky 1971   59  0.1735  0.0066  0.0561  0.0589  0.0271  0.03
Wasowski 1980   17  0.3957  0.0031  0.1029  0.4149  0.0736  0.17
Zak 1937   37  0.3032  0.0037  0.0834  0.3337  0.2328  0.28
Zak 1951   45  0.2756  0.0043  0.0841  0.1744  0.1340  0.15
Average   6  0.4651  0.0013  0.168  0.7176  0.0437  0.17
Random 1   83  0.0373  0.0080  0.0378  0.0332  0.2448  0.08
Random 2   80  0.0661  0.0083  0.0471  0.0431  0.2344  0.10
Random 3   91  -0.0562  0.0091  0.0191  0.0186  0.0289  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).