Milkina 1970

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.7238  0.0015  0.1017  0.4410  0.5012  0.47
Ashkenazy 1981   18  0.716  0.0222  0.0825  0.2946  0.0732  0.14
Beliavsky 2004   42  0.6722  0.0020  0.1324  0.3016  0.3418  0.32
BenOr 1989   4  0.768  0.017  0.173  0.7430  0.2016  0.38
Biret 1990   11  0.7311  0.018  0.1716  0.4624  0.3117  0.38
Blet 2003   24  0.6927  0.0029  0.0829  0.1831  0.1328  0.15
Block 1995   51  0.6557  0.0054  0.0363  0.0360  0.0465  0.03
Brailowsky 1960   46  0.6663  0.0052  0.0551  0.0530  0.3135  0.12
Chiu 1999   50  0.6559  0.0046  0.0739  0.0740  0.0943  0.08
Clidat 1994   10  0.7317  0.0012  0.2011  0.565  0.598  0.57
Cohen 1997   54  0.6435  0.0032  0.0730  0.145  0.6520  0.30
Coop 1987   29  0.6925  0.0034  0.0740  0.0757  0.0555  0.06
Cortot 1951   45  0.6641  0.0057  0.0458  0.0429  0.2640  0.10
Czerny 1949   52  0.6551  0.0051  0.0744  0.0749  0.0656  0.06
Czerny 1949b   57  0.6252  0.0059  0.0457  0.0448  0.0660  0.05
Ezaki 2006   34  0.6845  0.0048  0.0552  0.0550  0.0750  0.06
Falvay 1989   17  0.7132  0.0023  0.0921  0.3243  0.0826  0.16
Ferenczy 1958   55  0.6453  0.0056  0.0461  0.0432  0.1247  0.07
Fiorentino 1962   32  0.6824  0.0042  0.0648  0.0642  0.0849  0.07
Fliere 1977   8  0.7314  0.0113  0.1310  0.5831  0.1619  0.30
Fou 1978   21  0.6949  0.0027  0.0828  0.1944  0.0736  0.12
Francois 1956   59  0.6215  0.0131  0.0732  0.147  0.5922  0.29
Hatto 1997   5  0.7546  0.0014  0.1912  0.563  0.716  0.63
Horowitz 1971   41  0.6721  0.0021  0.0922  0.323  0.5715  0.43
Horowitz 1985   61  0.5661  0.0061  0.0553  0.0528  0.2438  0.11
Indjic 2001   2  0.775  0.036  0.178  0.683  0.762  0.72
Kapell 1951   20  0.7037  0.0028  0.0927  0.2145  0.0737  0.12
Kiepura 1999   43  0.6743  0.0055  0.0459  0.0436  0.0658  0.05
Kilenyi 1937   53  0.6458  0.0049  0.0554  0.0557  0.0561  0.05
Kissin 1993   9  0.7312  0.019  0.226  0.6833  0.1221  0.29
Kitain 1937   62  0.4654  0.0062  0.0650  0.0615  0.4029  0.15
Kushner 1990   30  0.6844  0.0025  0.1220  0.3814  0.4813  0.43
Levy 1951   56  0.6350  0.0050  0.0741  0.0743  0.0653  0.06
Luisada 1990   47  0.6630  0.0053  0.0460  0.0446  0.0762  0.05
Lushtak 2004   15  0.7229  0.0018  0.1015  0.4710  0.5411  0.50
Lympany 1968   22  0.6923  0.0033  0.0738  0.0726  0.3327  0.15
Magaloff 1977   26  0.6948  0.0038  0.0646  0.0644  0.0757  0.06
Magaloff 1977b   27  0.6933  0.0037  0.0742  0.0733  0.1241  0.09
Magin 1975   48  0.6660  0.0060  0.0456  0.0445  0.0759  0.05
Milkina 1970   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Mohovich 1999   7  0.744  0.054  0.144  0.693  0.763  0.72
Nadelmann 1956   31  0.6826  0.0026  0.1126  0.2640  0.0733  0.13
Ohlsson 1999   37  0.6856  0.0040  0.0836  0.0833  0.0845  0.08
Olejniczac 1990   25  0.6928  0.0041  0.0743  0.0742  0.0848  0.07
Olejniczak 1991   44  0.6616  0.0044  0.0649  0.0648  0.0654  0.06
Osinska 1989   3  0.7720  0.005  0.172  0.7636  0.0924  0.26
Paderewski 1912   40  0.6736  0.0024  0.0918  0.439  0.4414  0.43
Perahia 1994   33  0.687  0.0211  0.1519  0.423  0.6710  0.53
Perlemuter 1986   14  0.729  0.0110  0.159  0.611  0.744  0.67
Poblocka 1999   19  0.7031  0.0036  0.0737  0.0759  0.0551  0.06
Rangell 2001   28  0.6910  0.0130  0.0731  0.1443  0.0739  0.10
Risler 1920   60  0.5740  0.0058  0.0555  0.0543  0.0752  0.06
Rosen 1989   39  0.6747  0.0039  0.0645  0.0613  0.5025  0.17
Rubinstein 1939   23  0.6919  0.0016  0.0814  0.483  0.659  0.56
Rubinstein 1952   6  0.752  0.063  0.217  0.686  0.615  0.64
Rubinstein 1966   1  0.811  0.641  0.631  0.882  0.871  0.87
Rummel 1943   58  0.6242  0.0043  0.0647  0.0617  0.3231  0.14
Shebanova 2002   13  0.7218  0.0017  0.0913  0.5130  0.1523  0.28
Smith 1975   12  0.733  0.062  0.225  0.697  0.527  0.60
Szpilman 1948   49  0.6634  0.0045  0.0835  0.0852  0.0646  0.07
Uninsky 1971   38  0.6813  0.0119  0.0923  0.3241  0.0630  0.14
Wasowski 1980   35  0.6839  0.0047  0.1033  0.1045  0.0642  0.08
Weissenberg 1971   36  0.6855  0.0035  0.0934  0.0946  0.0744  0.08
Random 1    64  0.0062  0.0064  0.0264  0.0234  0.0664  0.03
Random 2   63  0.0365  0.0063  0.0462  0.046  0.4534  0.13
Random 3   65  -0.0264  0.0065  0.0265  0.0230  0.1063  0.04

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).