Garcia 2007b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   15  0.5871  0.0031  0.0726  0.3848  0.0737  0.16
Anderszewski 2003   50  0.5085  0.0046  0.0466  0.0456  0.0475  0.04
Ashkenazy 1981   52  0.4951  0.0055  0.0467  0.0461  0.0579  0.04
Bacha 2000   67  0.4576  0.0073  0.0468  0.0467  0.0464  0.04
Badura 1965   76  0.4272  0.0074  0.0383  0.0353  0.0677  0.04
Barbosa 1983   84  0.3767  0.0070  0.0379  0.0348  0.0673  0.04
Biret 1990   19  0.5656  0.0028  0.0621  0.4734  0.2326  0.33
Blet 2003   70  0.4557  0.0071  0.0462  0.0450  0.0660  0.05
Block 1995   81  0.4047  0.0069  0.0385  0.0352  0.0578  0.04
Blumental 1952   47  0.5188  0.0038  0.0938  0.2180  0.0449  0.09
Boshniakovich 1969   30  0.5355  0.0030  0.0829  0.3446  0.0838  0.16
Brailowsky 1960   79  0.4252  0.0082  0.0548  0.0577  0.0466  0.04
Bunin 1987   78  0.4236  0.0077  0.0458  0.0444  0.1352  0.07
Bunin 1987b   80  0.4238  0.0076  0.0554  0.0542  0.1647  0.09
Chiu 1999   55  0.4917  0.0065  0.0388  0.0353  0.0567  0.04
Cohen 1997   74  0.4313  0.0058  0.0460  0.0411  0.4240  0.13
Cortot 1951   65  0.4629  0.0044  0.0444  0.1023  0.4632  0.21
Csalog 1996   77  0.4242  0.0075  0.0455  0.0463  0.0474  0.04
Czerny 1949   26  0.5453  0.0024  0.0823  0.4638  0.2818  0.36
Czerny 1990   40  0.5189  0.0049  0.0552  0.0559  0.0563  0.05
Duchoud 2007   54  0.4950  0.0054  0.0457  0.0415  0.3843  0.12
Ezaki 2006   53  0.4927  0.0066  0.0382  0.0376  0.0484  0.03
Falvay 1989   64  0.4632  0.0081  0.0646  0.0661  0.0655  0.06
Farrell 1958   16  0.5725  0.007  0.175  0.6013  0.533  0.56
Ferenczy 1958   59  0.4877  0.0043  0.0443  0.1031  0.3435  0.18
Fliere 1977   6  0.6328  0.006  0.176  0.6036  0.2020  0.35
Fou 1978   12  0.5848  0.0023  0.1120  0.4831  0.2521  0.35
Francois 1956   43  0.5181  0.0042  0.0541  0.1120  0.4730  0.23
Friedman 1923   56  0.4818  0.0063  0.0461  0.0442  0.1354  0.07
Friedman 1923b   57  0.4824  0.0062  0.0380  0.0347  0.0762  0.05
Friedman 1930   45  0.519  0.0159  0.0475  0.0438  0.2446  0.10
Garcia 2007   1  0.811  0.821  0.811  0.881  0.931  0.90
Garcia 2007b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gierzod 1998   10  0.5958  0.0021  0.0818  0.4947  0.0734  0.19
Gornostaeva 1994   14  0.583  0.0225  0.0725  0.3923  0.3515  0.37
Groot 1988   61  0.4811  0.0015  0.0733  0.2638  0.1336  0.18
Harasiewicz 1955   21  0.5621  0.0012  0.0817  0.4937  0.2027  0.31
Hatto 1993   31  0.5362  0.0013  0.0916  0.5131  0.2619  0.36
Hatto 1997   27  0.5435  0.009  0.159  0.5327  0.2713  0.38
Horowitz 1949   68  0.4586  0.0078  0.0472  0.0451  0.0758  0.05
Indjic 1988   28  0.5433  0.0010  0.1211  0.5328  0.3010  0.40
Kapell 1951   4  0.636  0.013  0.263  0.6112  0.456  0.52
Kissin 1993   33  0.5263  0.0048  0.0469  0.0464  0.0472  0.04
Kushner 1989   20  0.5631  0.0020  0.0814  0.5134  0.2812  0.38
Luisada 1991   36  0.5283  0.0052  0.0547  0.0554  0.0656  0.05
Lushtak 2004   29  0.5378  0.0033  0.0828  0.3533  0.2328  0.28
Malcuzynski 1961   51  0.4923  0.0039  0.0639  0.1343  0.0944  0.11
Magaloff 1978   62  0.4737  0.0068  0.0386  0.0363  0.0486  0.03
Magin 1975   9  0.5915  0.0018  0.0713  0.5235  0.2811  0.38
Michalowski 1933   73  0.4416  0.0053  0.0463  0.0441  0.2048  0.09
Milkina 1970   22  0.5682  0.0034  0.0830  0.3473  0.0441  0.12
Mohovich 1999   25  0.5490  0.0037  0.0934  0.2540  0.1731  0.21
Moravec 1969   63  0.4730  0.0079  0.0465  0.0458  0.0565  0.04
Morozova 2008   41  0.5139  0.0041  0.0542  0.1047  0.0651  0.08
Neighaus 1950   32  0.5354  0.0047  0.0464  0.0440  0.1453  0.07
Niedzielski 1931   66  0.4619  0.0061  0.0477  0.0447  0.0657  0.05
Ohlsson 1999   23  0.5545  0.0019  0.0712  0.5231  0.349  0.42
Osinska 1989   5  0.6314  0.004  0.274  0.6120  0.512  0.56
Pachmann 1927   83  0.3822  0.0084  0.0478  0.0473  0.0387  0.03
Paderewski 1930   58  0.4879  0.0045  0.0445  0.0812  0.5233  0.20
Perlemuter 1992   17  0.5759  0.0027  0.0719  0.4810  0.547  0.51
Pierdomenico 2008   34  0.5212  0.0017  0.0737  0.237  0.5516  0.36
Poblocka 1999   35  0.5273  0.0036  0.0832  0.2846  0.0639  0.13
Rabcewiczowa 1932   18  0.568  0.0129  0.0724  0.4119  0.3314  0.37
Rachmaninoff 1923   39  0.5287  0.0040  0.0640  0.1259  0.0550  0.08
Rangell 2001   72  0.4449  0.0064  0.0384  0.0355  0.0580  0.04
Richter 1976   69  0.4526  0.0072  0.0381  0.0346  0.1059  0.05
Rosen 1989   8  0.6043  0.0022  0.0922  0.4634  0.2722  0.35
Rosenthal 1930   82  0.3980  0.0083  0.0553  0.0568  0.0376  0.04
Rosenthal 1931   88  0.3368  0.0088  0.0473  0.0476  0.0388  0.03
Rosenthal 1931b   86  0.3569  0.0086  0.0476  0.0469  0.0482  0.04
Rosenthal 1931c   85  0.3574  0.0085  0.0474  0.0480  0.0389  0.03
Rosenthal 1931d   87  0.3464  0.0087  0.0387  0.0347  0.0681  0.04
Rossi 2007   37  0.525  0.0126  0.0836  0.2311  0.4624  0.33
Rubinstein 1939   48  0.5134  0.0056  0.0549  0.0540  0.2045  0.10
Rubinstein 1952   60  0.4810  0.0060  0.0471  0.0467  0.0483  0.04
Rubinstein 1966   38  0.524  0.0116  0.0835  0.2554  0.0642  0.12
Schilhawsky 1960   49  0.5020  0.0035  0.1031  0.3338  0.1929  0.25
Shebanova 2002   11  0.5970  0.0014  0.1110  0.5336  0.2517  0.36
Smith 1975   44  0.5144  0.0050  0.0551  0.0565  0.0468  0.04
Sokolov 2002   71  0.4491  0.0067  0.0470  0.0475  0.0385  0.03
Sztompka 1959   3  0.6440  0.005  0.207  0.5928  0.485  0.53
Tomsic 1995   75  0.4360  0.0080  0.0456  0.0468  0.0571  0.04
Uninsky 1932   24  0.5465  0.0032  0.1027  0.3534  0.3423  0.34
Uninsky 1971   13  0.5846  0.0011  0.1215  0.5126  0.478  0.49
Wasowski 1980   7  0.627  0.018  0.148  0.5612  0.534  0.54
Zak 1937   46  0.5161  0.0057  0.0550  0.0575  0.0469  0.04
Zak 1951   42  0.5166  0.0051  0.0459  0.0475  0.0470  0.04
Average   2  0.712  0.032  0.512  0.7843  0.1425  0.33
Random 1   91  -0.1684  0.0090  0.0190  0.0161  0.0390  0.02
Random 2   90  -0.1175  0.0091  0.0191  0.0189  0.0291  0.01
Random 3   89  -0.0641  0.0089  0.0289  0.0238  0.1361  0.05

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).