BenOr 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   55  0.3143  0.0057  0.0559  0.0555  0.0559  0.05
Ashkenazy 1981   33  0.4350  0.0040  0.1532  0.1520  0.3432  0.23
Beliavsky 2004   58  0.2857  0.0058  0.0561  0.0536  0.0951  0.07
BenOr 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Biret 1990   11  0.569  0.0113  0.257  0.682  0.804  0.74
Blet 2003   19  0.5044  0.0019  0.1217  0.588  0.6917  0.63
Block 1995   18  0.5123  0.0022  0.1319  0.574  0.6118  0.59
Brailowsky 1960   7  0.5821  0.0010  0.3310  0.663  0.766  0.71
Chiu 1999   37  0.4138  0.0035  0.0841  0.0814  0.4538  0.19
Clidat 1994   45  0.3865  0.0049  0.0750  0.0738  0.0752  0.07
Cohen 1997   62  0.2055  0.0061  0.0462  0.0445  0.0661  0.05
Coop 1987   12  0.567  0.0215  0.244  0.758  0.5910  0.67
Cortot 1951   63  0.0852  0.0063  0.0363  0.0362  0.0266  0.02
Czerny 1949   44  0.3845  0.0031  0.0831  0.1929  0.2136  0.20
Czerny 1949b   56  0.3146  0.0053  0.0745  0.0734  0.0949  0.08
Ezaki 2006   3  0.664  0.033  0.366  0.694  0.688  0.68
Falvay 1989   9  0.5712  0.0111  0.145  0.693  0.775  0.73
Ferenczy 1958   10  0.5625  0.009  0.2713  0.637  0.6813  0.65
Fiorentino 1962   30  0.4435  0.0034  0.1434  0.1417  0.4831  0.26
Fliere 1977   43  0.3961  0.0041  0.0938  0.0923  0.3440  0.17
Fou 1978   6  0.5915  0.006  0.2611  0.653  0.729  0.68
Francois 1956   39  0.3953  0.0043  0.0940  0.0912  0.4735  0.21
Hatto 1997   53  0.3540  0.0055  0.0743  0.0732  0.1446  0.10
Horowitz 1971   38  0.4137  0.0036  0.0842  0.0829  0.2343  0.14
Horowitz 1985   41  0.3941  0.0032  0.0833  0.1525  0.2437  0.19
Indjic 2001   49  0.3617  0.0054  0.0651  0.0637  0.0954  0.07
Kapell 1951   23  0.4924  0.0018  0.1224  0.527  0.5824  0.55
Kiepura 1999   34  0.4262  0.0033  0.1037  0.1019  0.3139  0.18
Kilenyi 1937   14  0.5330  0.0014  0.3115  0.617  0.7014  0.65
Kissin 1993   61  0.2358  0.0062  0.0556  0.0562  0.0362  0.04
Kitain 1937   59  0.2748  0.0059  0.0652  0.0633  0.1050  0.08
Kushner 1990   8  0.5714  0.007  0.188  0.684  0.757  0.71
Levy 1951   35  0.4219  0.0028  0.1128  0.306  0.6227  0.43
Luisada 1990   46  0.3754  0.0046  0.0747  0.0728  0.2145  0.12
Lushtak 2004   42  0.3947  0.0044  0.0653  0.0635  0.0953  0.07
Lympany 1968   36  0.4218  0.0038  0.1035  0.1015  0.4933  0.22
Magaloff 1977   48  0.3656  0.0050  0.0749  0.0713  0.4041  0.17
Magaloff 1977b   51  0.3516  0.0048  0.0557  0.059  0.4142  0.14
Magin 1975   24  0.4927  0.0021  0.1422  0.5417  0.5325  0.53
Milkina 1970   16  0.526  0.0216  0.2116  0.5814  0.5422  0.56
Mohovich 1999   32  0.4320  0.0039  0.1036  0.1018  0.5034  0.22
Nadelmann 1956   29  0.4534  0.0023  0.1225  0.5116  0.2929  0.38
Ohlsson 1999   31  0.4339  0.0037  0.0939  0.0927  0.1944  0.13
Olejniczac 1990   27  0.4642  0.0030  0.1229  0.2815  0.6128  0.41
Olejniczak 1991   21  0.5033  0.0024  0.1423  0.5410  0.6319  0.58
Osinska 1989   2  0.692  0.152  0.443  0.832  0.842  0.83
Paderewski 1912   57  0.3066  0.0056  0.0654  0.0656  0.0460  0.05
Perahia 1994   28  0.4651  0.0029  0.1030  0.2717  0.4030  0.33
Perlemuter 1986   25  0.4926  0.0026  0.1426  0.4911  0.5426  0.51
Poblocka 1999   15  0.525  0.038  0.2314  0.628  0.6416  0.63
Rangell 2001   50  0.3564  0.0052  0.0655  0.0630  0.1548  0.09
Risler 1920   54  0.3322  0.0051  0.0746  0.0747  0.0555  0.06
Rosen 1989   4  0.633  0.084  0.459  0.665  0.6812  0.67
Rubinstein 1939   52  0.3531  0.0047  0.0558  0.0545  0.0658  0.05
Rubinstein 1952   22  0.5028  0.0025  0.1920  0.5512  0.5723  0.56
Rubinstein 1966   5  0.628  0.015  0.252  0.843  0.823  0.83
Rummel 1943   60  0.2729  0.0060  0.0560  0.0559  0.0363  0.04
Shebanova 2002   13  0.5413  0.0012  0.1812  0.644  0.7111  0.67
Smith 1975   40  0.3959  0.0045  0.0748  0.0732  0.1247  0.09
Szpilman 1948   20  0.5010  0.0120  0.1021  0.553  0.7315  0.63
Uninsky 1971   47  0.3636  0.0042  0.0744  0.0745  0.0656  0.06
Wasowski 1980   17  0.5149  0.0017  0.1218  0.577  0.5520  0.56
Weissenberg 1971   26  0.4711  0.0127  0.1827  0.463  0.6921  0.56
Average   1  0.721  0.591  0.581  0.942  0.761  0.85
Random 1    65  0.0063  0.0064  0.0265  0.0247  0.0464  0.03
Random 2   66  -0.0132  0.0066  0.0166  0.0144  0.0565  0.02
Random 3   64  0.0260  0.0065  0.0264  0.0226  0.1957  0.06
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).