Garcia 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   4  0.8090  0.005  0.145  0.5634  0.2712  0.39
Anderszewski 2003   46  0.6613  0.0047  0.0846  0.0844  0.1245  0.10
Ashkenazy 1981   32  0.6842  0.0046  0.0748  0.0774  0.0464  0.05
Bacha 2000   61  0.5927  0.0058  0.0462  0.0469  0.0467  0.04
Badura 1965   66  0.5779  0.0072  0.0380  0.0349  0.0763  0.05
Barbosa 1983   86  0.4467  0.0083  0.0383  0.0376  0.0383  0.03
Biret 1990   12  0.7381  0.009  0.109  0.5410  0.515  0.52
Blet 2003   24  0.7036  0.0031  0.0629  0.2716  0.3720  0.32
Block 1995   72  0.5453  0.0035  0.0642  0.1578  0.0354  0.07
Blumental 1952   27  0.7050  0.0033  0.0533  0.2335  0.1336  0.17
Boshniakovich 1969   33  0.6824  0.0038  0.0644  0.1356  0.0550  0.08
Brailowsky 1960   69  0.5543  0.0064  0.0375  0.0371  0.0480  0.03
Bunin 1987   81  0.4633  0.0085  0.0287  0.0250  0.0775  0.04
Bunin 1987b   82  0.4583  0.0084  0.0286  0.0248  0.0772  0.04
Chiu 1999   60  0.5928  0.0060  0.0557  0.0581  0.0368  0.04
Cohen 1997   87  0.447  0.0181  0.0382  0.0331  0.2648  0.09
Cortot 1951   9  0.755  0.0219  0.0817  0.458  0.517  0.48
Csalog 1996   83  0.4529  0.0080  0.0284  0.0264  0.0388  0.02
Czerny 1949   23  0.7019  0.0018  0.0821  0.3740  0.2821  0.32
Czerny 1990   30  0.6991  0.0036  0.0638  0.1854  0.0451  0.08
Duchoud 2007   47  0.6621  0.0034  0.0643  0.1410  0.4130  0.24
Ezaki 2006   38  0.6782  0.0057  0.0749  0.0778  0.0357  0.05
Falvay 1989   80  0.4646  0.0088  0.0464  0.0465  0.0570  0.04
Farrell 1958   18  0.7210  0.0110  0.1010  0.526  0.533  0.52
Ferenczy 1958   59  0.6068  0.0059  0.0561  0.0558  0.0562  0.05
Fliere 1977   5  0.7874  0.006  0.126  0.5628  0.2613  0.38
Fou 1978   6  0.7734  0.007  0.177  0.5413  0.426  0.48
Francois 1956   52  0.6280  0.0050  0.0652  0.0627  0.2841  0.13
Friedman 1923   53  0.6251  0.0068  0.0654  0.0670  0.0466  0.05
Friedman 1923b   54  0.6275  0.0067  0.0468  0.0474  0.0476  0.04
Friedman 1930   55  0.6232  0.0069  0.0372  0.0371  0.0485  0.03
Garcia 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007b   1  0.911  0.781  0.771  0.841  0.841  0.84
Gierzod 1998   10  0.7526  0.0016  0.1113  0.4738  0.1825  0.29
Gornostaeva 1994   57  0.6139  0.0061  0.0558  0.0555  0.0565  0.05
Groot 1988   62  0.5830  0.0025  0.0737  0.1950  0.0644  0.11
Harasiewicz 1955   20  0.7135  0.0020  0.0919  0.3847  0.0639  0.15
Hatto 1993   44  0.6769  0.0042  0.0636  0.2038  0.1735  0.18
Hatto 1997   35  0.6884  0.0040  0.0531  0.2339  0.1733  0.20
Horowitz 1949   43  0.6744  0.0054  0.0650  0.0642  0.2442  0.12
Indjic 1988   34  0.6864  0.0041  0.0832  0.2338  0.1832  0.20
Kapell 1951   28  0.6915  0.0015  0.0914  0.4633  0.1429  0.25
Kissin 1993   15  0.7385  0.0030  0.0728  0.3040  0.1234  0.19
Kushner 1989   29  0.6947  0.0026  0.0624  0.3530  0.3019  0.32
Luisada 1991   31  0.6989  0.0048  0.0651  0.0662  0.0558  0.05
Lushtak 2004   39  0.6731  0.0039  0.0639  0.1739  0.1338  0.15
Malcuzynski 1961   65  0.5718  0.0053  0.0560  0.0537  0.1547  0.09
Magaloff 1978   64  0.5722  0.0063  0.0467  0.0466  0.0569  0.04
Magin 1975   16  0.7325  0.0022  0.0920  0.3833  0.2222  0.29
Michalowski 1933   51  0.6354  0.0052  0.0555  0.0544  0.1153  0.07
Milkina 1970   40  0.6770  0.0049  0.0556  0.0555  0.0560  0.05
Mohovich 1999   50  0.6561  0.0045  0.0745  0.1347  0.0846  0.10
Moravec 1969   70  0.558  0.0174  0.0466  0.0438  0.1549  0.08
Morozova 2008   22  0.7076  0.0044  0.0741  0.1541  0.1340  0.14
Neighaus 1950   26  0.7086  0.0027  0.0623  0.3534  0.2028  0.26
Niedzielski 1931   41  0.673  0.0223  0.0727  0.3226  0.3816  0.35
Ohlsson 1999   21  0.7055  0.0014  0.0812  0.5022  0.339  0.41
Osinska 1989   8  0.7656  0.008  0.128  0.5422  0.418  0.47
Pachmann 1927   75  0.5259  0.0086  0.0288  0.0258  0.0482  0.03
Paderewski 1930   37  0.6816  0.0043  0.0934  0.2219  0.3823  0.29
Perlemuter 1992   7  0.7717  0.002  0.244  0.623  0.582  0.60
Pierdomenico 2008   74  0.539  0.0124  0.0640  0.1716  0.4026  0.26
Poblocka 1999   36  0.6872  0.0021  0.0922  0.3630  0.2918  0.32
Rabcewiczowa 1932   42  0.6745  0.0037  0.0635  0.2038  0.1337  0.16
Rachmaninoff 1923   13  0.732  0.0313  0.1018  0.4225  0.3015  0.35
Rangell 2001   88  0.4165  0.0082  0.0374  0.0350  0.0577  0.04
Richter 1976   71  0.5562  0.0073  0.0465  0.0445  0.1252  0.07
Rosen 1989   19  0.7166  0.0029  0.0526  0.3334  0.1831  0.24
Rosenthal 1930   73  0.5478  0.0071  0.0381  0.0336  0.1156  0.06
Rosenthal 1931   78  0.4773  0.0077  0.0379  0.0365  0.0484  0.03
Rosenthal 1931b   77  0.4838  0.0076  0.0285  0.0253  0.0586  0.03
Rosenthal 1931c   79  0.4720  0.0078  0.0370  0.0356  0.0487  0.03
Rosenthal 1931d   76  0.4987  0.0075  0.0376  0.0352  0.0578  0.04
Rossi 2007   67  0.5711  0.0165  0.0377  0.0340  0.1455  0.06
Rubinstein 1939   63  0.5840  0.0070  0.0378  0.0345  0.0759  0.05
Rubinstein 1952   85  0.4457  0.0079  0.0369  0.0368  0.0579  0.04
Rubinstein 1966   68  0.556  0.0162  0.0463  0.0466  0.0474  0.04
Schilhawsky 1960   25  0.7023  0.0017  0.0815  0.4535  0.3610  0.40
Shebanova 2002   17  0.7360  0.0011  0.1111  0.5234  0.2514  0.36
Smith 1975   58  0.6048  0.0066  0.0373  0.0382  0.0381  0.03
Sokolov 2002   56  0.6241  0.0051  0.0653  0.0632  0.2043  0.11
Sztompka 1959   3  0.8212  0.014  0.333  0.6517  0.414  0.52
Tomsic 1995   84  0.4437  0.0087  0.0371  0.0358  0.0673  0.04
Uninsky 1932   14  0.7363  0.0028  0.0625  0.3437  0.2524  0.29
Uninsky 1971   48  0.6614  0.0032  0.0630  0.2538  0.2827  0.26
Wasowski 1980   11  0.7449  0.0012  0.1116  0.4513  0.3311  0.39
Zak 1937   45  0.6788  0.0055  0.0559  0.0567  0.0471  0.04
Zak 1951   49  0.6671  0.0056  0.0847  0.0877  0.0361  0.05
Average   2  0.844  0.023  0.222  0.6637  0.1917  0.35
Random 1   91  -0.2752  0.0090  0.0190  0.0160  0.0390  0.02
Random 2   89  -0.0977  0.0089  0.0189  0.0154  0.0389  0.02
Random 3   90  -0.1958  0.0091  0.0191  0.0157  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).