BenOr 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   40  0.5930  0.0046  0.0943  0.0934  0.1149  0.10
Ax 1995   15  0.6612  0.0016  0.1213  0.5628  0.2924  0.40
Bacha 1998   47  0.5349  0.0032  0.1032  0.188  0.5728  0.32
Barbosa 1983   42  0.5723  0.0047  0.1040  0.1028  0.1943  0.14
BenOr 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Biret 1990   28  0.627  0.0112  0.1112  0.5610  0.647  0.60
Brailowsky 1960   29  0.6233  0.0030  0.0927  0.2925  0.2831  0.28
Chiu 1999   51  0.4947  0.0051  0.0847  0.0823  0.4037  0.18
Clidat 1994   44  0.5529  0.0037  0.0944  0.0918  0.4135  0.19
Cohen 1997   63  0.3756  0.0064  0.0556  0.0521  0.3048  0.12
Cortot 1951   58  0.4261  0.0063  0.0461  0.0429  0.2750  0.10
Csalog 1996   49  0.5358  0.0049  0.1136  0.1146  0.0656  0.08
Czerny 1989   41  0.5859  0.0041  0.0852  0.0834  0.1153  0.09
Ezaki 2006   35  0.6110  0.0039  0.0753  0.0737  0.0954  0.08
Falvay 1989   4  0.7027  0.008  0.197  0.6227  0.3713  0.48
Fiorentino 1962   17  0.6520  0.0017  0.1616  0.5419  0.4315  0.48
Fliere 1977   48  0.5331  0.0044  0.0945  0.0934  0.0951  0.09
Fou 1978   37  0.6051  0.0019  0.1028  0.2732  0.1632  0.21
Francois 1956   45  0.5543  0.0048  0.1135  0.1130  0.1945  0.14
Goldenweiser 1946   60  0.4062  0.0056  0.0460  0.0447  0.0561  0.04
Gornostaeva 1994   50  0.5126  0.0050  0.1039  0.1020  0.3736  0.19
Groot 1988   27  0.6335  0.0020  0.1317  0.4717  0.4716  0.47
Hatto 1993   16  0.6541  0.0022  0.0820  0.4024  0.4222  0.41
Hatto 1997   11  0.6722  0.0021  0.1019  0.4421  0.4619  0.45
Horszowski 1983   62  0.3852  0.0061  0.0365  0.0329  0.1758  0.07
Indjic 2001   12  0.6724  0.0023  0.1218  0.4521  0.4620  0.45
Katin 1996   31  0.6157  0.0035  0.0848  0.0847  0.0855  0.08
Kiepura 1999   30  0.6254  0.0038  0.1038  0.1031  0.2441  0.15
Korecka 1992   21  0.645  0.0213  0.1315  0.544  0.725  0.62
Kushner 1990   18  0.6540  0.0024  0.1222  0.3612  0.5321  0.44
Lilamand 2001   56  0.4442  0.0058  0.0462  0.0416  0.3847  0.12
Luisada 1990   23  0.6417  0.0028  0.0930  0.2315  0.6326  0.38
Luisada 2008   22  0.6446  0.0033  0.0833  0.1613  0.6629  0.32
Lushtak 2004   19  0.6528  0.0025  0.0926  0.2924  0.2930  0.29
Malcuzynski 1951   8  0.696  0.014  0.1410  0.5917  0.4812  0.53
Malcuzynski 1961   9  0.6938  0.006  0.206  0.6317  0.4811  0.55
Magaloff 1977   59  0.4136  0.0055  0.0655  0.0641  0.0860  0.07
Magin 1975   10  0.688  0.0110  0.1211  0.5812  0.569  0.57
Meguri 1997   52  0.4863  0.0052  0.1041  0.1025  0.3338  0.18
Milkina 1970   14  0.6615  0.0011  0.139  0.5923  0.3617  0.46
Mohovich 1999   36  0.6145  0.0042  0.0850  0.0821  0.3339  0.16
Nezu 2005   2  0.7119  0.007  0.223  0.687  0.761  0.72
Ohlsson 1999   24  0.649  0.0126  0.1024  0.3220  0.4725  0.39
Olejniczak 1990   3  0.703  0.032  0.312  0.683  0.704  0.69
Osinska 1989   7  0.6913  0.005  0.135  0.6416  0.558  0.59
Perlemuter 1992   57  0.4248  0.0053  0.0849  0.086  0.5234  0.20
Poblocka 1999   6  0.6916  0.009  0.148  0.624  0.782  0.70
Rangell 2001   53  0.4560  0.0059  0.0463  0.0455  0.0465  0.04
Richter 1960   61  0.3965  0.0060  0.0464  0.0452  0.0563  0.04
Richter 1961   64  0.3366  0.0062  0.0458  0.0454  0.0562  0.04
Rosen 1989   34  0.6139  0.0029  0.0929  0.2417  0.4727  0.34
Rubinstein 1939   46  0.5444  0.0045  0.1434  0.1437  0.1146  0.12
Rubinstein 1952   39  0.6037  0.0034  0.0851  0.0824  0.3340  0.16
Rubinstein 1966   32  0.6114  0.0031  0.0831  0.2129  0.2233  0.21
Rudanovskaya 2007   54  0.4521  0.0054  0.0754  0.0727  0.2844  0.14
Shebanova 2002   55  0.4453  0.0057  0.0457  0.0444  0.0464  0.04
Smith 1975   43  0.5650  0.0043  0.1137  0.1145  0.0852  0.09
Sztompka 1959   33  0.614  0.0215  0.1025  0.302  0.7218  0.46
Tanyel 1992   20  0.6518  0.0014  0.1214  0.5421  0.4314  0.48
Tsujii 2005   26  0.6334  0.0036  0.0942  0.0943  0.0857  0.08
Uninsky 1959   38  0.6032  0.0040  0.0846  0.0852  0.0659  0.07
Vardi 1988   25  0.6325  0.0027  0.1023  0.3421  0.4823  0.40
Wasowski 1980   13  0.662  0.0418  0.1121  0.373  0.8110  0.55
Zimerman 1975   5  0.6911  0.003  0.194  0.6615  0.566  0.61
Average   1  0.811  0.801  0.791  0.9315  0.533  0.70
Random 1   67  -0.0867  0.0066  0.0266  0.0264  0.0367  0.02
Random 2   66  -0.0664  0.0067  0.0167  0.0158  0.0366  0.02
Random 3   65  0.0555  0.0065  0.0459  0.042  0.5842  0.15

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).