BenOr 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   64  0.0861  0.0051  0.0452  0.0455  0.0561  0.04
Ax 1995   61  0.3050  0.0057  0.0359  0.0353  0.0464  0.03
Bacha 1998   59  0.3943  0.0061  0.0360  0.0340  0.0557  0.04
Barbosa 1983   57  0.4044  0.0039  0.0838  0.0845  0.0842  0.08
BenOr 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Biret 1990   11  0.6230  0.0017  0.1614  0.5310  0.5813  0.55
Brailowsky 1960   62  0.2758  0.0066  0.0166  0.0163  0.0266  0.01
Chiu 1999   51  0.4337  0.0044  0.0739  0.0742  0.0744  0.07
Clidat 1994   54  0.4065  0.0048  0.0449  0.0459  0.0460  0.04
Cohen 1997   49  0.4440  0.0042  0.0936  0.096  0.6630  0.24
Cortot 1951   31  0.5628  0.0045  0.0545  0.0548  0.0462  0.04
Csalog 1996   4  0.671  0.361  0.351  0.705  0.572  0.63
Czerny 1989   27  0.5727  0.0015  0.1218  0.4811  0.5217  0.50
Ezaki 2006   29  0.5631  0.0029  0.1227  0.3015  0.4726  0.38
Falvay 1989   2  0.682  0.132  0.312  0.687  0.526  0.59
Fiorentino 1962   14  0.6217  0.0120  0.0919  0.458  0.5120  0.48
Fliere 1977   22  0.6034  0.0028  0.0925  0.337  0.5522  0.43
Fou 1978   8  0.6418  0.018  0.088  0.576  0.617  0.59
Francois 1956   60  0.3966  0.0063  0.0363  0.0352  0.0465  0.03
Goldenweiser 1946   46  0.4852  0.0053  0.0457  0.0457  0.0556  0.04
Gornostaeva 1994   32  0.5526  0.0022  0.0921  0.412  0.6915  0.53
Groot 1988   18  0.615  0.0510  0.099  0.5711  0.5016  0.53
Hatto 1993   12  0.6241  0.0026  0.0823  0.4024  0.3727  0.38
Hatto 1997   16  0.6164  0.0027  0.1122  0.4117  0.4324  0.42
Horszowski 1983   25  0.5922  0.0016  0.1117  0.499  0.6111  0.55
Indjic 2001   6  0.6553  0.0021  0.1215  0.5118  0.4321  0.47
Katin 1996   5  0.6725  0.009  0.084  0.5910  0.5610  0.57
Kiepura 1999   42  0.4935  0.0043  0.1233  0.1218  0.3933  0.22
Korecka 1992   47  0.4754  0.0059  0.0453  0.0440  0.0652  0.05
Kushner 1990   40  0.5012  0.0119  0.0931  0.1621  0.3332  0.23
Lilamand 2001   24  0.5929  0.006  0.0913  0.538  0.675  0.60
Luisada 1990   17  0.6121  0.005  0.1011  0.5512  0.5512  0.55
Luisada 2008   44  0.4816  0.017  0.0826  0.327  0.4925  0.40
Lushtak 2004   19  0.606  0.0418  0.1716  0.509  0.4918  0.49
Malcuzynski 1951   52  0.4147  0.0049  0.0454  0.0425  0.2840  0.11
Malcuzynski 1961   20  0.604  0.064  0.2212  0.547  0.5514  0.54
Magaloff 1977   13  0.629  0.0214  0.125  0.593  0.673  0.63
Magin 1975   33  0.5338  0.0038  0.0740  0.0740  0.0647  0.06
Meguri 1997   15  0.618  0.0225  0.0928  0.306  0.6323  0.43
Milkina 1970   26  0.5824  0.0034  0.0644  0.0625  0.1741  0.10
Mohovich 1999   9  0.6336  0.0013  0.117  0.5813  0.599  0.58
Nezu 2005   34  0.5351  0.0052  0.0362  0.0353  0.0463  0.03
Ohlsson 1999   56  0.4055  0.0055  0.0451  0.0450  0.0559  0.04
Olejniczak 1990   1  0.693  0.123  0.283  0.671  0.771  0.72
Osinska 1989   3  0.6711  0.0112  0.1010  0.566  0.608  0.58
Perlemuter 1992   43  0.4948  0.0046  0.0547  0.0519  0.4237  0.14
Poblocka 1999   39  0.5156  0.0050  0.0361  0.0338  0.0749  0.05
Rangell 2001   21  0.6013  0.0123  0.0824  0.3914  0.6219  0.49
Richter 1960   10  0.6315  0.0111  0.116  0.5810  0.644  0.61
Richter 1961   35  0.5219  0.0132  0.0832  0.1524  0.3431  0.23
Rosen 1989   30  0.5623  0.0036  0.0643  0.0619  0.5435  0.18
Rubinstein 1939   48  0.4545  0.0056  0.0448  0.0435  0.0751  0.05
Rubinstein 1952   53  0.4139  0.0047  0.0546  0.0540  0.0655  0.05
Rubinstein 1966   38  0.5259  0.0040  0.1035  0.1046  0.0643  0.08
Rudanovskaya 2007   23  0.5910  0.0235  0.0641  0.0645  0.0553  0.05
Shebanova 2002   37  0.5263  0.0041  0.1034  0.1032  0.1239  0.11
Smith 1975   50  0.4460  0.0054  0.0458  0.0443  0.0750  0.05
Sztompka 1959   55  0.4057  0.0062  0.0455  0.0456  0.0558  0.04
Tanyel 1992   36  0.5233  0.0031  0.0729  0.2014  0.6028  0.35
Tsujii 2005   7  0.6420  0.0124  0.1020  0.4232  0.1134  0.21
Uninsky 1959   28  0.5742  0.0030  0.1030  0.1821  0.3529  0.25
Vardi 1988   41  0.5032  0.0037  0.0642  0.0640  0.0748  0.06
Wasowski 1980   58  0.3914  0.0160  0.0456  0.0437  0.0846  0.06
Zimerman 1975   45  0.487  0.0333  0.0837  0.0829  0.2438  0.14
Random 1   65  0.0746  0.0064  0.0264  0.0213  0.2845  0.07
Random 2   63  0.1249  0.0058  0.0450  0.042  0.5536  0.15
Random 3   66  0.0062  0.0065  0.0265  0.0225  0.1554  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).