BenOr 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   36  0.8058  0.0035  0.0644  0.0638  0.0647  0.06
Ax 1995   50  0.7748  0.0052  0.0456  0.0441  0.0657  0.05
Bacha 1998   52  0.7454  0.0054  0.0641  0.0654  0.0449  0.05
Barbosa 1983   54  0.7439  0.0046  0.0552  0.0532  0.1338  0.08
BenOr 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Biret 1990   22  0.8351  0.0040  0.0639  0.0652  0.0558  0.05
Brailowsky 1960   58  0.7063  0.0058  0.0646  0.0645  0.0548  0.05
Chiu 1999   21  0.8315  0.0118  0.0917  0.314  0.469  0.38
Clidat 1994   55  0.7459  0.0047  0.0463  0.0438  0.0754  0.05
Cohen 1997   64  0.6126  0.0162  0.0461  0.0444  0.0656  0.05
Cortot 1951   57  0.7157  0.0057  0.0549  0.0543  0.0559  0.05
Csalog 1996   28  0.8211  0.0125  0.0529  0.1422  0.3420  0.22
Czerny 1989   41  0.7927  0.0129  0.0626  0.1620  0.3518  0.24
Ezaki 2006   26  0.8237  0.0044  0.0550  0.056  0.4625  0.15
Falvay 1989   7  0.866  0.0610  0.097  0.4425  0.2112  0.30
Fiorentino 1962   14  0.8424  0.0121  0.0523  0.1752  0.0536  0.09
Fliere 1977   18  0.8432  0.0038  0.0638  0.0643  0.0644  0.06
Fou 1978   20  0.8334  0.0016  0.0813  0.3617  0.3610  0.36
Francois 1956   62  0.6264  0.0064  0.0459  0.0459  0.0366  0.03
Goldenweiser 1946   47  0.7838  0.0019  0.0716  0.3511  0.418  0.38
Gornostaeva 1994   29  0.8223  0.0136  0.0735  0.0724  0.2130  0.12
Groot 1988   4  0.885  0.075  0.215  0.5323  0.307  0.40
Hatto 1993   10  0.8635  0.0012  0.1115  0.3528  0.2615  0.30
Hatto 1997   12  0.8529  0.0013  0.1812  0.3626  0.2514  0.30
Horszowski 1983   45  0.7821  0.0117  0.0919  0.2815  0.2217  0.25
Indjic 2001   9  0.863  0.117  0.1111  0.3722  0.2911  0.33
Katin 1996   13  0.8520  0.0122  0.0521  0.2031  0.1623  0.18
Kiepura 1999   61  0.6533  0.0061  0.0458  0.0454  0.0460  0.04
Korecka 1992   51  0.7544  0.0055  0.0637  0.0653  0.0550  0.05
Kushner 1990   43  0.7918  0.0115  0.0814  0.364  0.545  0.44
Lilamand 2001   53  0.7419  0.0120  0.0630  0.142  0.6313  0.30
Luisada 1990   23  0.8340  0.0031  0.0727  0.1638  0.0634  0.10
Luisada 2008   19  0.8331  0.0030  0.0624  0.1736  0.0733  0.11
Lushtak 2004   8  0.8617  0.016  0.138  0.4312  0.416  0.42
Malcuzynski 1951   60  0.6845  0.0051  0.0553  0.0530  0.1240  0.08
Malcuzynski 1961   42  0.798  0.0311  0.1110  0.3841  0.0626  0.15
Magaloff 1977   6  0.8712  0.019  0.106  0.5010  0.434  0.46
Magin 1975   17  0.8428  0.0024  0.0622  0.1846  0.0535  0.09
Meguri 1997   16  0.8446  0.0027  0.0725  0.1717  0.3519  0.24
Milkina 1970   33  0.8156  0.0041  0.0636  0.0649  0.0551  0.05
Mohovich 1999   48  0.7741  0.0049  0.0460  0.0458  0.0464  0.04
Nezu 2005   46  0.7861  0.0045  0.0462  0.0453  0.0463  0.04
Ohlsson 1999   37  0.8022  0.0148  0.0454  0.0438  0.0753  0.05
Olejniczak 1990   2  0.901  0.271  0.262  0.644  0.551  0.59
Osinska 1989   27  0.8225  0.0137  0.0648  0.0665  0.0361  0.04
Perlemuter 1992   38  0.8062  0.0050  0.0457  0.0425  0.1537  0.08
Poblocka 1999   11  0.8510  0.0223  0.0620  0.2239  0.0632  0.11
Rangell 2001   30  0.8247  0.0043  0.0455  0.0415  0.3431  0.12
Richter 1960   56  0.7155  0.0060  0.0551  0.0564  0.0362  0.04
Richter 1961   63  0.6230  0.0063  0.0365  0.0363  0.0365  0.03
Rosen 1989   39  0.7953  0.0039  0.0642  0.0637  0.0746  0.06
Rubinstein 1939   49  0.7752  0.0026  0.0628  0.1433  0.1128  0.12
Rubinstein 1952   25  0.8213  0.018  0.109  0.3926  0.2216  0.29
Rubinstein 1966   15  0.847  0.0314  0.0918  0.3054  0.0529  0.12
Rudanovskaya 2007   40  0.7949  0.0056  0.0640  0.0616  0.3827  0.15
Shebanova 2002   5  0.8816  0.014  0.163  0.6313  0.472  0.54
Smith 1975   32  0.8136  0.0033  0.0632  0.1126  0.2224  0.16
Sztompka 1959   34  0.8160  0.0053  0.0647  0.0634  0.0941  0.07
Tanyel 1992   31  0.829  0.0228  0.0631  0.1321  0.3522  0.21
Tsujii 2005   3  0.892  0.113  0.204  0.629  0.403  0.50
Uninsky 1959   24  0.8242  0.0034  0.0645  0.0653  0.0552  0.05
Vardi 1988   59  0.7043  0.0059  0.0734  0.0743  0.0545  0.06
Wasowski 1980   44  0.7950  0.0042  0.0643  0.0645  0.0643  0.06
Zimerman 1975   35  0.8114  0.0132  0.0633  0.1148  0.0442  0.07
Average   1  0.914  0.092  0.191  0.7140  0.0721  0.22
Random 1   67  -0.1966  0.0067  0.0167  0.0167  0.0167  0.01
Random 2   66  0.0667  0.0066  0.0266  0.0217  0.3539  0.08
Random 3   65  0.0965  0.0065  0.0364  0.0332  0.0855  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).