Vardi 1988

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   62  0.2963  0.0041  0.0743  0.0733  0.1939  0.12
Ax 1995   43  0.4524  0.0031  0.0731  0.1625  0.3328  0.23
Bacha 1998   53  0.4056  0.0051  0.0459  0.0430  0.1547  0.08
Barbosa 1983   25  0.508  0.016  0.1516  0.5011  0.609  0.55
BenOr 1989   28  0.5059  0.0034  0.0741  0.0743  0.0654  0.06
Biret 1990   17  0.5321  0.0013  0.1013  0.5513  0.5112  0.53
Brailowsky 1960   58  0.3843  0.0053  0.0456  0.0432  0.1945  0.09
Chiu 1999   56  0.3951  0.0058  0.0457  0.0453  0.0558  0.04
Clidat 1994   47  0.4354  0.0045  0.0645  0.0639  0.0752  0.06
Cohen 1997   64  0.2041  0.0063  0.0364  0.0344  0.0466  0.03
Cortot 1951   14  0.5515  0.0021  0.1222  0.347  0.4722  0.40
Csalog 1996   7  0.586  0.019  0.125  0.6629  0.2919  0.44
Czerny 1989   27  0.5016  0.0030  0.0829  0.1836  0.0837  0.12
Ezaki 2006   15  0.5420  0.0023  0.0824  0.3427  0.2526  0.29
Falvay 1989   2  0.633  0.042  0.302  0.7910  0.513  0.63
Fiorentino 1962   16  0.5425  0.007  0.147  0.6510  0.518  0.58
Fliere 1977   34  0.4842  0.0032  0.0733  0.1421  0.2829  0.20
Fou 1978   12  0.5611  0.0116  0.1314  0.5316  0.3617  0.44
Francois 1956   57  0.3822  0.0057  0.0458  0.0427  0.3343  0.11
Goldenweiser 1946   8  0.582  0.113  0.346  0.655  0.632  0.64
Gornostaeva 1994   26  0.505  0.0128  0.0827  0.206  0.6124  0.35
Groot 1988   31  0.494  0.0214  0.1119  0.4623  0.3421  0.40
Hatto 1993   4  0.6010  0.0110  0.138  0.6419  0.4611  0.54
Hatto 1997   9  0.5830  0.0018  0.0912  0.5719  0.4214  0.49
Horszowski 1983   39  0.4748  0.0026  0.0826  0.2425  0.3825  0.30
Indjic 2001   6  0.5867  0.0017  0.1110  0.5916  0.4513  0.52
Katin 1996   22  0.5132  0.0015  0.1317  0.5020  0.3918  0.44
Kiepura 1999   49  0.4112  0.0122  0.1021  0.358  0.5515  0.44
Korecka 1992   13  0.569  0.0120  0.1115  0.524  0.745  0.62
Kushner 1990   46  0.4338  0.0050  0.0454  0.0449  0.0560  0.04
Lilamand 2001   59  0.3664  0.0060  0.0553  0.0554  0.0461  0.04
Luisada 1990   30  0.4940  0.0037  0.1532  0.1536  0.0842  0.11
Luisada 2008   35  0.4818  0.0036  0.1135  0.1124  0.2831  0.18
Lushtak 2004   18  0.5345  0.0019  0.1118  0.4619  0.3520  0.40
Malcuzynski 1951   41  0.4628  0.0047  0.0840  0.0816  0.4630  0.19
Malcuzynski 1961   36  0.4853  0.0042  0.0839  0.0848  0.0649  0.07
Magaloff 1977   24  0.5135  0.0029  0.0928  0.1918  0.3327  0.25
Magin 1975   3  0.607  0.015  0.254  0.726  0.581  0.65
Meguri 1997   44  0.4413  0.0054  0.0650  0.0632  0.1941  0.11
Milkina 1970   51  0.4129  0.0059  0.0461  0.0464  0.0365  0.03
Mohovich 1999   40  0.4723  0.0027  0.0830  0.1730  0.1733  0.17
Nezu 2005   10  0.5719  0.008  0.1411  0.585  0.607  0.59
Ohlsson 1999   52  0.4055  0.0049  0.0455  0.0446  0.0559  0.04
Olejniczak 1990   45  0.4457  0.0055  0.0644  0.0651  0.0557  0.05
Osinska 1989   37  0.4861  0.0039  0.0648  0.0644  0.0651  0.06
Perlemuter 1992   55  0.3950  0.0056  0.0551  0.0519  0.4334  0.15
Poblocka 1999   23  0.5114  0.0043  0.1036  0.1053  0.0548  0.07
Rangell 2001   60  0.3562  0.0061  0.0462  0.0456  0.0463  0.04
Richter 1960   42  0.4533  0.0040  0.0647  0.0633  0.1346  0.09
Richter 1961   20  0.5239  0.0012  0.1020  0.3917  0.4916  0.44
Rosen 1989   61  0.3465  0.0062  0.0552  0.0547  0.0656  0.05
Rubinstein 1939   19  0.5237  0.0024  0.0923  0.3421  0.3623  0.35
Rubinstein 1952   50  0.4146  0.0044  0.0937  0.0946  0.0650  0.07
Rubinstein 1966   32  0.4834  0.0025  0.1025  0.3139  0.0735  0.15
Rudanovskaya 2007   21  0.5136  0.0035  0.0838  0.0817  0.4032  0.18
Shebanova 2002   29  0.5027  0.0033  0.0734  0.1334  0.0744  0.10
Smith 1975   38  0.4717  0.0038  0.0646  0.0626  0.2336  0.12
Sztompka 1959   33  0.4847  0.0046  0.0649  0.0628  0.2240  0.11
Tanyel 1992   54  0.3966  0.0052  0.0460  0.0437  0.1053  0.06
Tsujii 2005   5  0.6031  0.004  0.173  0.7210  0.536  0.62
Uninsky 1959   48  0.4258  0.0048  0.0742  0.0757  0.0455  0.05
Vardi 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Wasowski 1980   63  0.2649  0.0065  0.0265  0.0258  0.0464  0.03
Zimerman 1975   11  0.5726  0.0011  0.149  0.638  0.634  0.63
Average   1  0.681  0.691  0.681  0.9016  0.3210  0.54
Random 1   66  0.0660  0.0066  0.0266  0.0231  0.1062  0.04
Random 2   65  0.0652  0.0067  0.0167  0.0154  0.0367  0.02
Random 3   67  0.0644  0.0064  0.0363  0.038  0.4738  0.12

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).