Milkina 1970

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   21  0.7331  0.0016  0.1120  0.568  0.5523  0.55
Ax 1995   8  0.7728  0.008  0.097  0.6611  0.5912  0.62
Bacha 1998   47  0.6239  0.0049  0.0463  0.0425  0.2952  0.11
Barbosa 1983   49  0.6149  0.0037  0.0847  0.0826  0.3345  0.16
BenOr 1989   46  0.6350  0.0040  0.0845  0.0825  0.3544  0.17
Biret 1990   33  0.7013  0.0128  0.1229  0.379  0.6925  0.51
Brailowsky 1960   25  0.7251  0.0030  0.1428  0.397  0.5827  0.48
Chiu 1999   37  0.6863  0.0042  0.1236  0.129  0.5434  0.25
Clidat 1994   26  0.7132  0.0023  0.1123  0.524  0.6019  0.56
Cohen 1997   61  0.5552  0.0060  0.0464  0.049  0.5447  0.15
Cortot 1951   64  0.3426  0.0064  0.0554  0.0548  0.0465  0.04
Csalog 1996   39  0.6853  0.0043  0.1334  0.1314  0.4037  0.23
Czerny 1989   34  0.6936  0.0038  0.1037  0.1018  0.3940  0.20
Ezaki 2006   22  0.728  0.0136  0.1235  0.1225  0.3239  0.20
Falvay 1989   23  0.724  0.0217  0.1116  0.5823  0.3729  0.46
Fiorentino 1962   11  0.7721  0.0011  0.0819  0.569  0.6517  0.60
Fliere 1977   32  0.7057  0.0035  0.1040  0.1024  0.3743  0.19
Fou 1978   28  0.713  0.0321  0.1024  0.5110  0.5921  0.55
Francois 1956   27  0.7119  0.0029  0.1230  0.353  0.7226  0.50
Goldenweiser 1946   63  0.4265  0.0063  0.0556  0.0545  0.0563  0.05
Gornostaeva 1994   62  0.5261  0.0050  0.0555  0.0530  0.1953  0.10
Groot 1988   40  0.6845  0.0032  0.0932  0.1916  0.3533  0.26
Hatto 1993   12  0.7637  0.0015  0.1113  0.6111  0.5918  0.60
Hatto 1997   10  0.7714  0.0114  0.1311  0.6411  0.6110  0.62
Horszowski 1983   56  0.5756  0.0062  0.0561  0.0543  0.0562  0.05
Indjic 2001   9  0.7729  0.0010  0.098  0.6610  0.609  0.63
Katin 1996   6  0.7911  0.016  0.119  0.668  0.716  0.68
Kiepura 1999   53  0.5942  0.0048  0.0462  0.0428  0.2154  0.09
Korecka 1992   58  0.5638  0.0058  0.0557  0.0525  0.3349  0.13
Kushner 1990   41  0.6610  0.0122  0.1127  0.452  0.6722  0.55
Lilamand 2001   57  0.5625  0.0059  0.0650  0.0638  0.0661  0.06
Luisada 1990   44  0.6515  0.0144  0.0846  0.0814  0.5738  0.21
Luisada 2008   45  0.6535  0.0045  0.1039  0.1014  0.6335  0.25
Lushtak 2004   30  0.7027  0.0033  0.1033  0.1921  0.3932  0.27
Malcuzynski 1951   24  0.7222  0.0025  0.1415  0.5920  0.3928  0.48
Malcuzynski 1961   38  0.6841  0.0026  0.1626  0.5021  0.3730  0.43
Magaloff 1977   50  0.6055  0.0054  0.0649  0.0624  0.2450  0.12
Magin 1975   42  0.6548  0.0046  0.0944  0.0939  0.0756  0.08
Meguri 1997   52  0.5962  0.0057  0.0651  0.0634  0.0958  0.07
Milkina 1970   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Mohovich 1999   16  0.7417  0.0120  0.1021  0.553  0.6516  0.60
Nezu 2005   20  0.747  0.0112  0.0910  0.6412  0.697  0.66
Ohlsson 1999   5  0.7923  0.007  0.156  0.672  0.763  0.71
Olejniczak 1990   35  0.6946  0.0031  0.1131  0.3016  0.5131  0.39
Osinska 1989   19  0.7412  0.0113  0.1017  0.5816  0.5220  0.55
Perlemuter 1992   60  0.5633  0.0061  0.0558  0.0550  0.0564  0.05
Poblocka 1999   14  0.7643  0.0024  0.1122  0.5410  0.6813  0.61
Rangell 2001   43  0.6534  0.0047  0.0941  0.0933  0.2648  0.15
Richter 1960   59  0.5647  0.0056  0.0748  0.0735  0.0759  0.07
Richter 1961   55  0.5840  0.0053  0.0653  0.0636  0.0760  0.06
Rosen 1989   31  0.706  0.0139  0.0943  0.0915  0.4442  0.20
Rubinstein 1939   3  0.8016  0.015  0.273  0.706  0.704  0.70
Rubinstein 1952   7  0.7830  0.004  0.174  0.695  0.715  0.70
Rubinstein 1966   2  0.812  0.033  0.162  0.726  0.732  0.72
Rudanovskaya 2007   51  0.6064  0.0055  0.0652  0.0620  0.4446  0.16
Shebanova 2002   29  0.7154  0.0034  0.0942  0.0916  0.4341  0.20
Smith 1975   36  0.6858  0.0041  0.1038  0.1011  0.5136  0.23
Sztompka 1959   48  0.6244  0.0052  0.0560  0.0533  0.1457  0.08
Tanyel 1992   15  0.745  0.0118  0.1014  0.594  0.708  0.64
Tsujii 2005   4  0.809  0.012  0.145  0.6815  0.5611  0.62
Uninsky 1959   13  0.7624  0.009  0.1012  0.625  0.6114  0.61
Vardi 1988   18  0.7420  0.0019  0.1018  0.575  0.6615  0.61
Wasowski 1980   54  0.5959  0.0051  0.0559  0.0530  0.2551  0.11
Zimerman 1975   17  0.7418  0.0027  0.1725  0.5115  0.5124  0.51
Average   1  0.851  0.741  0.731  0.8810  0.671  0.77
Random 1   67  -0.0566  0.0067  0.0167  0.0141  0.0567  0.02
Random 2   65  0.0067  0.0066  0.0266  0.0235  0.0566  0.03
Random 3   66  0.0060  0.0065  0.0265  0.026  0.4355  0.09

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).