Garcia 2007b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   62  0.3350  0.0069  0.0565  0.0557  0.0470  0.04
Anderszewski 2003   42  0.3917  0.0025  0.0826  0.3843  0.1331  0.22
Ashkenazy 1981   78  0.2477  0.0080  0.0288  0.0270  0.0388  0.02
Bacha 2000   74  0.2778  0.0076  0.0470  0.0465  0.0372  0.03
Badura 1965   65  0.2959  0.0063  0.0649  0.0657  0.0564  0.05
Barbosa 1983   57  0.3515  0.0029  0.0835  0.2753  0.0840  0.15
Biret 1990   41  0.3981  0.0030  0.0831  0.3154  0.0542  0.12
Blet 2003   66  0.2962  0.0070  0.0474  0.0472  0.0379  0.03
Block 1995   85  0.2069  0.0081  0.0285  0.0280  0.0386  0.02
Blumental 1952   60  0.3382  0.0067  0.0476  0.0478  0.0471  0.04
Boshniakovich 1969   35  0.3970  0.0017  0.0824  0.4154  0.0635  0.16
Brailowsky 1960   70  0.2834  0.0066  0.0473  0.0477  0.0373  0.03
Bunin 1987   48  0.3723  0.0047  0.0648  0.0636  0.1447  0.09
Bunin 1987b   47  0.3727  0.0046  0.0652  0.0635  0.1943  0.11
Chiu 1999   43  0.3820  0.0038  0.0641  0.1233  0.2036  0.15
Cohen 1997   20  0.447  0.0116  0.0927  0.352  0.5911  0.45
Cortot 1951   83  0.2260  0.0062  0.0566  0.0554  0.0666  0.05
Csalog 1996   51  0.3728  0.0050  0.0746  0.0761  0.0556  0.06
Czerny 1949   30  0.4164  0.0034  0.0830  0.3240  0.1830  0.24
Czerny 1990   32  0.4087  0.0041  0.0737  0.2060  0.0545  0.10
Duchoud 2007   53  0.3658  0.0055  0.0556  0.0512  0.5434  0.16
Ezaki 2006   40  0.3929  0.0045  0.0647  0.0651  0.0652  0.06
Falvay 1989   17  0.4554  0.0028  0.0922  0.4353  0.0537  0.15
Farrell 1958   13  0.4738  0.009  0.1712  0.5815  0.567  0.57
Ferenczy 1958   68  0.2852  0.0075  0.0471  0.0481  0.0380  0.03
Fliere 1977   12  0.4739  0.0019  0.0921  0.4444  0.1032  0.21
Fou 1978   46  0.3747  0.0048  0.0554  0.0573  0.0467  0.04
Francois 1956   36  0.3945  0.0036  0.0834  0.2810  0.4818  0.37
Friedman 1923   71  0.2716  0.0073  0.0377  0.0370  0.0484  0.03
Friedman 1923b   73  0.2735  0.0074  0.0559  0.0556  0.0565  0.05
Friedman 1930   49  0.3713  0.0152  0.0563  0.0543  0.1546  0.09
Garcia 2007   1  0.691  0.721  0.711  0.861  0.881  0.87
Garcia 2007b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gierzod 1998   14  0.4742  0.0031  0.0828  0.3370  0.0444  0.11
Gornostaeva 1994   4  0.528  0.016  0.185  0.6511  0.565  0.60
Groot 1988   34  0.404  0.0315  0.1025  0.3827  0.2623  0.31
Harasiewicz 1955   22  0.4431  0.0020  0.0918  0.4744  0.1527  0.27
Hatto 1993   29  0.4166  0.0022  0.0717  0.4836  0.2321  0.33
Hatto 1997   24  0.4371  0.0014  0.1214  0.5635  0.3113  0.42
Horowitz 1949   79  0.2479  0.0082  0.0287  0.0257  0.0576  0.03
Indjic 1988   31  0.4132  0.0018  0.0916  0.5135  0.2717  0.37
Kapell 1951   2  0.5312  0.015  0.184  0.6721  0.526  0.59
Kissin 1993   64  0.3072  0.0065  0.0567  0.0574  0.0468  0.04
Kushner 1989   15  0.4621  0.0012  0.178  0.6041  0.2416  0.38
Luisada 1991   61  0.3383  0.0068  0.0568  0.0554  0.0557  0.05
Lushtak 2004   23  0.4357  0.0027  0.1320  0.4638  0.2419  0.33
Malcuzynski 1961   18  0.4533  0.0024  0.0915  0.5143  0.1624  0.29
Magaloff 1978   44  0.3819  0.0042  0.0642  0.1244  0.1341  0.12
Magin 1975   5  0.513  0.037  0.163  0.6811  0.584  0.63
Michalowski 1933   87  0.1555  0.0077  0.0475  0.0463  0.0377  0.03
Milkina 1970   11  0.475  0.0310  0.1810  0.5835  0.2715  0.40
Mohovich 1999   16  0.4588  0.0026  0.0823  0.4239  0.1826  0.27
Moravec 1969   26  0.4353  0.0053  0.0564  0.0545  0.0950  0.07
Morozova 2008   45  0.3737  0.0039  0.0538  0.1837  0.1633  0.17
Neighaus 1950   77  0.2489  0.0085  0.0282  0.0282  0.0290  0.02
Niedzielski 1931   86  0.1856  0.0087  0.0378  0.0376  0.0375  0.03
Ohlsson 1999   59  0.3343  0.0040  0.0640  0.1441  0.1739  0.15
Osinska 1989   8  0.4922  0.003  0.227  0.6232  0.449  0.52
Pachmann 1927   63  0.3211  0.0137  0.1039  0.1824  0.3828  0.26
Paderewski 1930   69  0.2890  0.0058  0.0562  0.0513  0.4338  0.15
Perlemuter 1992   33  0.4036  0.0035  0.0836  0.2314  0.4222  0.31
Pierdomenico 2008   9  0.4818  0.008  0.1513  0.582  0.722  0.65
Poblocka 1999   56  0.3584  0.0060  0.0555  0.0567  0.0558  0.05
Rabcewiczowa 1932   10  0.489  0.0113  0.139  0.5923  0.3410  0.45
Rachmaninoff 1923   67  0.2985  0.0064  0.0469  0.0448  0.0659  0.05
Rangell 2001   27  0.4267  0.0021  0.0833  0.3029  0.3620  0.33
Richter 1976   55  0.3541  0.0056  0.0653  0.0646  0.0655  0.06
Rosen 1989   28  0.4249  0.0044  0.0544  0.1148  0.0649  0.08
Rosenthal 1930   72  0.2740  0.0078  0.0281  0.0263  0.0481  0.03
Rosenthal 1931   84  0.2273  0.0086  0.0379  0.0368  0.0478  0.03
Rosenthal 1931b   82  0.2365  0.0084  0.0286  0.0276  0.0482  0.03
Rosenthal 1931c   76  0.2580  0.0079  0.0380  0.0372  0.0483  0.03
Rosenthal 1931d   81  0.2486  0.0083  0.0283  0.0277  0.0389  0.02
Rossi 2007   7  0.5010  0.014  0.1311  0.582  0.703  0.64
Rubinstein 1939   25  0.4325  0.0023  0.0819  0.4727  0.3514  0.41
Rubinstein 1952   6  0.506  0.0211  0.146  0.6232  0.3112  0.44
Rubinstein 1966   3  0.522  0.042  0.242  0.6929  0.458  0.56
Schilhawsky 1960   54  0.3524  0.0059  0.0560  0.0545  0.0662  0.05
Shebanova 2002   39  0.3951  0.0054  0.0651  0.0654  0.0563  0.05
Smith 1975   50  0.3726  0.0051  0.0650  0.0649  0.0753  0.06
Sokolov 2002   80  0.2475  0.0072  0.0561  0.0579  0.0274  0.03
Sztompka 1959   58  0.3461  0.0057  0.0558  0.0556  0.0561  0.05
Tomsic 1995   21  0.4414  0.0132  0.0829  0.3330  0.2625  0.29
Uninsky 1932   75  0.2563  0.0071  0.0472  0.0467  0.0469  0.04
Uninsky 1971   38  0.3968  0.0043  0.0543  0.1152  0.0648  0.08
Wasowski 1980   19  0.4448  0.0033  0.0832  0.3139  0.1829  0.24
Zak 1937   52  0.3646  0.0061  0.0745  0.0753  0.0554  0.06
Zak 1951   37  0.3944  0.0049  0.0557  0.0552  0.0560  0.05
Random 1   90  -0.1074  0.0089  0.0189  0.0157  0.0487  0.02
Random 2   89  -0.0576  0.0090  0.0190  0.0179  0.0385  0.02
Random 3   88  -0.0130  0.0088  0.0284  0.0226  0.2451  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).