Garcia 2007b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   63  0.3350  0.0070  0.0566  0.0558  0.0471  0.04
Anderszewski 2003   43  0.3919  0.0026  0.0827  0.3844  0.1332  0.22
Ashkenazy 1981   79  0.2478  0.0081  0.0289  0.0271  0.0389  0.02
Bacha 2000   75  0.2779  0.0077  0.0471  0.0466  0.0373  0.03
Badura 1965   66  0.2960  0.0064  0.0650  0.0658  0.0564  0.05
Barbosa 1983   58  0.3521  0.0030  0.0836  0.2754  0.0841  0.15
Biret 1990   42  0.3982  0.0031  0.0832  0.3155  0.0543  0.12
Blet 2003   67  0.2963  0.0071  0.0475  0.0473  0.0380  0.03
Block 1995   86  0.2070  0.0082  0.0286  0.0281  0.0387  0.02
Blumental 1952   61  0.3387  0.0068  0.0477  0.0479  0.0472  0.04
Boshniakovich 1969   36  0.3971  0.0018  0.0825  0.4155  0.0636  0.16
Brailowsky 1960   71  0.2838  0.0067  0.0474  0.0478  0.0374  0.03
Bunin 1987   49  0.3722  0.0048  0.0649  0.0637  0.1448  0.09
Bunin 1987b   48  0.3735  0.0047  0.0653  0.0636  0.1944  0.11
Chiu 1999   44  0.3818  0.0039  0.0642  0.1234  0.2037  0.15
Cohen 1997   21  0.445  0.0117  0.0928  0.353  0.5911  0.45
Cortot 1951   84  0.2261  0.0063  0.0567  0.0555  0.0666  0.05
Csalog 1996   52  0.3728  0.0051  0.0647  0.0662  0.0561  0.05
Czerny 1949   31  0.4165  0.0035  0.0831  0.3241  0.1831  0.24
Czerny 1990   33  0.4088  0.0042  0.0738  0.2061  0.0546  0.10
Duchoud 2007   54  0.3659  0.0056  0.0557  0.0513  0.5435  0.16
Ezaki 2006   41  0.3942  0.0046  0.0648  0.0652  0.0653  0.06
Falvay 1989   18  0.4552  0.0029  0.0923  0.4354  0.0538  0.15
Farrell 1958   14  0.4736  0.0010  0.1713  0.5816  0.567  0.57
Ferenczy 1958   69  0.2856  0.0076  0.0472  0.0482  0.0381  0.03
Fliere 1977   13  0.4739  0.0020  0.0922  0.4445  0.1033  0.21
Fou 1978   47  0.3753  0.0049  0.0555  0.0574  0.0468  0.04
Francois 1956   37  0.3946  0.0037  0.0835  0.2811  0.4819  0.37
Friedman 1923   72  0.2716  0.0074  0.0378  0.0371  0.0485  0.03
Friedman 1923b   74  0.2733  0.0075  0.0560  0.0557  0.0565  0.05
Friedman 1930   50  0.3713  0.0153  0.0564  0.0544  0.1547  0.09
Garcia 2007   1  0.691  0.661  0.661  0.861  0.881  0.87
Garcia 2007b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gierzod 1998   15  0.4743  0.0032  0.0829  0.3371  0.0445  0.11
Gornostaeva 1994   5  0.526  0.017  0.186  0.6512  0.565  0.60
Groot 1988   35  0.4012  0.0116  0.1026  0.3828  0.2624  0.31
Harasiewicz 1955   23  0.4430  0.0021  0.0919  0.4745  0.1528  0.27
Hatto 1993   30  0.4167  0.0023  0.0718  0.4837  0.2322  0.33
Hatto 1997   25  0.4372  0.0015  0.1215  0.5636  0.3113  0.42
Horowitz 1949   80  0.2480  0.0083  0.0288  0.0258  0.0577  0.03
Indjic 1988   32  0.4132  0.0019  0.0917  0.5136  0.2718  0.37
Kapell 1951   3  0.5311  0.016  0.185  0.6722  0.526  0.59
Kissin 1993   65  0.3073  0.0066  0.0568  0.0575  0.0469  0.04
Kushner 1989   16  0.4620  0.0013  0.179  0.6042  0.2417  0.38
Luisada 1991   62  0.3383  0.0069  0.0469  0.0455  0.0567  0.04
Lushtak 2004   24  0.4357  0.0028  0.1321  0.4639  0.2420  0.33
Malcuzynski 1961   19  0.4531  0.0025  0.0916  0.5144  0.1625  0.29
Magaloff 1978   45  0.3823  0.0043  0.0643  0.1245  0.1342  0.12
Magin 1975   6  0.514  0.018  0.164  0.6812  0.584  0.63
Michalowski 1933   88  0.1554  0.0078  0.0476  0.0464  0.0378  0.03
Milkina 1970   12  0.477  0.0111  0.1811  0.5836  0.2716  0.40
Mohovich 1999   17  0.4589  0.0027  0.0824  0.4240  0.1827  0.27
Moravec 1969   27  0.4351  0.0054  0.0565  0.0546  0.0950  0.07
Morozova 2008   46  0.3737  0.0040  0.0539  0.1838  0.1634  0.17
Neighaus 1950   78  0.2490  0.0086  0.0283  0.0283  0.0291  0.02
Niedzielski 1931   87  0.1855  0.0088  0.0379  0.0377  0.0376  0.03
Ohlsson 1999   60  0.3344  0.0041  0.0641  0.1442  0.1740  0.15
Osinska 1989   9  0.4924  0.004  0.228  0.6233  0.449  0.52
Pachmann 1927   64  0.3210  0.0138  0.1040  0.1825  0.3829  0.26
Paderewski 1930   70  0.2891  0.0059  0.0563  0.0514  0.4339  0.15
Perlemuter 1992   34  0.4034  0.0036  0.0737  0.2315  0.4223  0.31
Pierdomenico 2008   10  0.4817  0.009  0.1414  0.583  0.722  0.65
Poblocka 1999   57  0.3584  0.0061  0.0556  0.0568  0.0557  0.05
Rabcewiczowa 1932   11  0.489  0.0114  0.1310  0.5924  0.3410  0.45
Rachmaninoff 1923   68  0.2985  0.0065  0.0470  0.0449  0.0658  0.05
Rangell 2001   28  0.4268  0.0022  0.0834  0.3030  0.3621  0.33
Richter 1976   56  0.3541  0.0057  0.0654  0.0647  0.0656  0.06
Rosen 1989   29  0.4248  0.0045  0.0545  0.1149  0.0551  0.07
Rosenthal 1930   73  0.2740  0.0079  0.0282  0.0264  0.0482  0.03
Rosenthal 1931   85  0.2274  0.0087  0.0380  0.0369  0.0479  0.03
Rosenthal 1931b   83  0.2366  0.0085  0.0287  0.0277  0.0483  0.03
Rosenthal 1931c   77  0.2581  0.0080  0.0381  0.0373  0.0484  0.03
Rosenthal 1931d   82  0.2486  0.0084  0.0284  0.0278  0.0390  0.02
Rossi 2007   8  0.508  0.015  0.1312  0.582  0.703  0.64
Rubinstein 1939   26  0.4326  0.0024  0.0820  0.4728  0.3514  0.41
Rubinstein 1952   7  0.5015  0.0012  0.147  0.6233  0.3112  0.44
Rubinstein 1966   4  0.523  0.013  0.243  0.6930  0.458  0.56
Schilhawsky 1960   55  0.3525  0.0060  0.0561  0.0546  0.0662  0.05
Shebanova 2002   40  0.3958  0.0055  0.0652  0.0655  0.0563  0.05
Smith 1975   51  0.3727  0.0052  0.0651  0.0650  0.0754  0.06
Sokolov 2002   81  0.2476  0.0073  0.0562  0.0580  0.0275  0.03
Sztompka 1959   59  0.3462  0.0058  0.0559  0.0557  0.0560  0.05
Tomsic 1995   22  0.4414  0.0133  0.0830  0.3331  0.2626  0.29
Uninsky 1932   76  0.2564  0.0072  0.0473  0.0468  0.0470  0.04
Uninsky 1971   39  0.3969  0.0044  0.0544  0.1153  0.0649  0.08
Wasowski 1980   20  0.4449  0.0034  0.0833  0.3140  0.1830  0.24
Zak 1937   53  0.3647  0.0062  0.0746  0.0754  0.0555  0.06
Zak 1951   38  0.3945  0.0050  0.0558  0.0553  0.0559  0.05
Average   2  0.592  0.152  0.452  0.7739  0.2215  0.41
Random 1   91  -0.1075  0.0090  0.0190  0.0157  0.0488  0.02
Random 2   90  -0.0577  0.0091  0.0191  0.0180  0.0386  0.02
Random 3   89  -0.0129  0.0089  0.0285  0.0226  0.2652  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).