Garcia 2007b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.7590  0.0015  0.1013  0.4935  0.2724  0.36
Anderszewski 2003   60  0.5987  0.0060  0.0555  0.0550  0.0568  0.05
Ashkenazy 1981   25  0.6759  0.0039  0.0633  0.2542  0.1236  0.17
Bacha 2000   46  0.6360  0.0051  0.0475  0.0416  0.3441  0.12
Badura 1965   65  0.5579  0.0066  0.0549  0.0547  0.0764  0.06
Barbosa 1983   88  0.4084  0.0074  0.0382  0.0362  0.0482  0.03
Biret 1990   16  0.7166  0.0022  0.0721  0.4013  0.4514  0.42
Blet 2003   39  0.6449  0.0045  0.0445  0.0822  0.3237  0.16
Block 1995   69  0.5320  0.0033  0.0538  0.1748  0.0651  0.10
Blumental 1952   52  0.6247  0.0023  0.0636  0.2031  0.1634  0.18
Boshniakovich 1969   33  0.6673  0.0041  0.0640  0.1541  0.1838  0.16
Brailowsky 1960   61  0.5867  0.0065  0.0554  0.0543  0.1257  0.08
Bunin 1987   74  0.5061  0.0076  0.0468  0.0443  0.1463  0.07
Bunin 1987b   76  0.4952  0.0075  0.0464  0.0443  0.1461  0.07
Chiu 1999   63  0.5512  0.0164  0.0461  0.0484  0.0379  0.03
Cohen 1997   87  0.415  0.0180  0.0477  0.0433  0.2552  0.10
Cortot 1951   21  0.6923  0.0032  0.0928  0.3212  0.4621  0.38
Csalog 1996   77  0.4874  0.0073  0.0383  0.0374  0.0384  0.03
Czerny 1949   26  0.6762  0.0018  0.0912  0.5033  0.3416  0.41
Czerny 1990   47  0.6385  0.0052  0.0559  0.0560  0.0476  0.04
Duchoud 2007   53  0.6210  0.0157  0.0553  0.0518  0.2943  0.12
Ezaki 2006   58  0.6145  0.0063  0.0551  0.0588  0.0370  0.04
Falvay 1989   85  0.448  0.0188  0.0472  0.0468  0.0472  0.04
Farrell 1958   37  0.652  0.0314  0.1020  0.4119  0.4311  0.42
Ferenczy 1958   27  0.6644  0.0024  0.0927  0.348  0.4717  0.40
Fliere 1977   10  0.7441  0.009  0.118  0.5427  0.2720  0.38
Fou 1978   11  0.7475  0.0020  0.0918  0.4215  0.3718  0.39
Francois 1956   56  0.6243  0.0055  0.0462  0.0428  0.2753  0.10
Friedman 1923   45  0.6333  0.0048  0.0474  0.0439  0.3147  0.11
Friedman 1923b   50  0.6314  0.0149  0.0467  0.0439  0.3146  0.11
Friedman 1930   55  0.6211  0.0161  0.0746  0.0739  0.2940  0.14
Garcia 2007   1  0.911  0.761  0.751  0.841  0.841  0.84
Garcia 2007b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gierzod 1998   15  0.7254  0.0019  0.0716  0.4632  0.2625  0.35
Gornostaeva 1994   38  0.6418  0.0058  0.0550  0.0518  0.2945  0.12
Groot 1988   64  0.5534  0.0036  0.0642  0.1356  0.0656  0.09
Harasiewicz 1955   32  0.6616  0.0125  0.0931  0.2839  0.1235  0.18
Hatto 1993   54  0.6278  0.0030  0.0926  0.3527  0.2929  0.32
Hatto 1997   44  0.6380  0.0029  0.1123  0.3724  0.3128  0.34
Horowitz 1949   40  0.6486  0.0062  0.0747  0.0739  0.2939  0.14
Indjic 1988   43  0.6388  0.0028  0.0724  0.3724  0.3127  0.34
Kapell 1951   14  0.734  0.016  0.1611  0.5112  0.3315  0.41
Kissin 1993   19  0.6981  0.0040  0.0935  0.2462  0.0450  0.10
Kushner 1989   31  0.6635  0.0038  0.0530  0.3032  0.2430  0.27
Luisada 1991   23  0.6868  0.0037  0.0534  0.2450  0.0642  0.12
Lushtak 2004   59  0.6069  0.0044  0.0444  0.0955  0.0562  0.07
Malcuzynski 1961   67  0.5437  0.0067  0.0648  0.0643  0.1354  0.09
Magaloff 1978   66  0.5519  0.0068  0.0469  0.0474  0.0471  0.04
Magin 1975   20  0.6925  0.0027  0.0732  0.2638  0.1633  0.20
Michalowski 1933   24  0.6732  0.0026  0.0829  0.3117  0.4323  0.37
Milkina 1970   28  0.6663  0.0053  0.0556  0.0553  0.0567  0.05
Mohovich 1999   22  0.6889  0.0043  0.0539  0.1546  0.0944  0.12
Moravec 1969   73  0.5017  0.0079  0.0470  0.0444  0.1359  0.07
Morozova 2008   35  0.6570  0.0047  0.0463  0.0461  0.0475  0.04
Neighaus 1950   12  0.7338  0.0012  0.136  0.5625  0.388  0.46
Niedzielski 1931   42  0.6421  0.0031  0.1022  0.3728  0.3722  0.37
Ohlsson 1999   18  0.7048  0.0017  0.0915  0.4718  0.4010  0.43
Osinska 1989   9  0.746  0.018  0.107  0.5515  0.475  0.51
Pachmann 1927   78  0.4750  0.0082  0.0285  0.0279  0.0388  0.02
Paderewski 1930   29  0.6630  0.0042  0.0641  0.1418  0.3831  0.23
Perlemuter 1992   13  0.7346  0.007  0.155  0.604  0.513  0.55
Pierdomenico 2008   68  0.537  0.0135  0.0643  0.1227  0.3232  0.20
Poblocka 1999   34  0.6651  0.0021  0.0625  0.3528  0.3426  0.34
Rabcewiczowa 1932   36  0.6529  0.0046  0.0465  0.0433  0.1758  0.08
Rachmaninoff 1923   30  0.6631  0.0034  0.0737  0.2049  0.0549  0.10
Rangell 2001   81  0.4664  0.0081  0.0466  0.0476  0.0386  0.03
Richter 1976   70  0.529  0.0171  0.0479  0.0440  0.2055  0.09
Rosen 1989   5  0.763  0.0213  0.1217  0.4518  0.3913  0.42
Rosenthal 1930   72  0.5182  0.0078  0.0381  0.0353  0.0485  0.03
Rosenthal 1931   83  0.4576  0.0086  0.0287  0.0279  0.0483  0.03
Rosenthal 1931b   79  0.4677  0.0084  0.0384  0.0364  0.0578  0.04
Rosenthal 1931c   84  0.4453  0.0085  0.0288  0.0270  0.0487  0.03
Rosenthal 1931d   80  0.4657  0.0087  0.0480  0.0456  0.0577  0.04
Rossi 2007   71  0.5113  0.0172  0.0473  0.0441  0.1460  0.07
Rubinstein 1939   62  0.5627  0.0069  0.0560  0.0549  0.0666  0.05
Rubinstein 1952   82  0.4515  0.0177  0.0471  0.0454  0.0669  0.05
Rubinstein 1966   75  0.5036  0.0070  0.0478  0.0477  0.0474  0.04
Schilhawsky 1960   48  0.6326  0.0016  0.0919  0.4236  0.3619  0.39
Shebanova 2002   6  0.7671  0.004  0.154  0.6124  0.357  0.46
Smith 1975   49  0.6342  0.0059  0.0557  0.0548  0.0665  0.05
Sokolov 2002   57  0.6139  0.0056  0.0558  0.0531  0.2148  0.10
Sztompka 1959   2  0.8328  0.002  0.362  0.697  0.532  0.60
Tomsic 1995   86  0.4255  0.0083  0.0286  0.0270  0.0481  0.03
Uninsky 1932   4  0.7622  0.005  0.149  0.5211  0.496  0.50
Uninsky 1971   17  0.7158  0.0010  0.1014  0.4826  0.409  0.44
Wasowski 1980   8  0.7524  0.0011  0.1310  0.514  0.524  0.51
Zak 1937   41  0.6456  0.0050  0.0476  0.0485  0.0380  0.03
Zak 1951   51  0.6240  0.0054  0.0552  0.0581  0.0373  0.04
Average   3  0.8165  0.003  0.243  0.6629  0.2712  0.42
Random 1   91  -0.2972  0.0089  0.0189  0.0164  0.0390  0.02
Random 2   89  -0.1391  0.0090  0.0190  0.0157  0.0389  0.02
Random 3   90  -0.1783  0.0091  0.0191  0.0159  0.0491  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).