Milkina 1970

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   15  0.7317  0.0116  0.1615  0.563  0.6510  0.60
Ashkenazy 1981   11  0.747  0.0418  0.1718  0.5323  0.2319  0.35
Beliavsky 2004   31  0.6922  0.0023  0.1523  0.3211  0.4516  0.38
BenOr 1989   5  0.7610  0.027  0.144  0.6823  0.2815  0.44
Biret 1990   32  0.6921  0.0026  0.1026  0.2519  0.3921  0.31
Blet 2003   40  0.6734  0.0031  0.0629  0.1548  0.0540  0.09
Block 1995   51  0.6340  0.0053  0.0558  0.0538  0.0755  0.06
Brailowsky 1960   58  0.6056  0.0060  0.0460  0.0436  0.1046  0.06
Chiu 1999   49  0.6559  0.0033  0.0641  0.0653  0.0558  0.05
Clidat 1994   16  0.7343  0.0010  0.1113  0.588  0.4513  0.51
Cohen 1997   61  0.5723  0.0042  0.0552  0.053  0.7226  0.19
Coop 1987   18  0.7212  0.0119  0.179  0.6442  0.0625  0.20
Cortot 1951   59  0.5948  0.0062  0.0648  0.0618  0.3733  0.15
Czerny 1949   50  0.6461  0.0045  0.0644  0.0644  0.0652  0.06
Czerny 1949b   43  0.6654  0.0047  0.0735  0.0755  0.0460  0.05
Ezaki 2006   28  0.6935  0.0034  0.0646  0.0656  0.0644  0.06
Falvay 1989   29  0.6931  0.0040  0.0643  0.0644  0.0747  0.06
Ferenczy 1958   54  0.6155  0.0056  0.0462  0.0434  0.0950  0.06
Fiorentino 1962   46  0.6626  0.0048  0.0734  0.0751  0.0656  0.06
Fliere 1977   14  0.7311  0.0217  0.1519  0.5235  0.0924  0.22
Fou 1978   25  0.7046  0.0029  0.0628  0.1654  0.0539  0.09
Francois 1956   36  0.6837  0.0036  0.0647  0.068  0.5428  0.18
Hatto 1997   4  0.778  0.0312  0.128  0.652  0.784  0.71
Horowitz 1971   45  0.6613  0.0124  0.1225  0.2710  0.5117  0.37
Horowitz 1985   57  0.6047  0.0054  0.0459  0.047  0.5632  0.15
Indjic 2001   3  0.7718  0.0113  0.226  0.662  0.783  0.72
Kapell 1951   33  0.6849  0.0039  0.0642  0.0651  0.0649  0.06
Kiepura 1999   37  0.6728  0.0051  0.0639  0.0644  0.0645  0.06
Kilenyi 1937   48  0.6557  0.0041  0.0733  0.0752  0.0651  0.06
Kissin 1993   9  0.7416  0.0115  0.1510  0.6036  0.0923  0.23
Kitain 1937   62  0.4160  0.0061  0.0557  0.057  0.5431  0.16
Kushner 1990   8  0.754  0.054  0.235  0.6712  0.549  0.60
Levy 1951   60  0.5944  0.0057  0.0556  0.0538  0.0659  0.05
Luisada 1990   52  0.6345  0.0058  0.0553  0.0549  0.0662  0.05
Lushtak 2004   6  0.7619  0.018  0.167  0.656  0.666  0.65
Lympany 1968   26  0.6953  0.0030  0.0632  0.1328  0.2229  0.17
Magaloff 1977   22  0.7136  0.0037  0.0640  0.0650  0.0653  0.06
Magaloff 1977b   23  0.7130  0.0038  0.0737  0.0731  0.2035  0.12
Magin 1975   41  0.6642  0.0052  0.0649  0.0642  0.0748  0.06
Milkina 1970   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Mohovich 1999   17  0.729  0.0214  0.1311  0.605  0.707  0.65
Nadelmann 1956   27  0.6920  0.0121  0.1621  0.4115  0.3118  0.36
Ohlsson 1999   30  0.6941  0.0027  0.0727  0.1740  0.0737  0.11
Olejniczac 1990   42  0.6638  0.0046  0.0736  0.0750  0.0654  0.06
Olejniczak 1991   35  0.6833  0.0032  0.0731  0.1337  0.0936  0.11
Osinska 1989   2  0.803  0.062  0.222  0.7625  0.3214  0.49
Paderewski 1912   44  0.6662  0.0035  0.0554  0.0532  0.1143  0.07
Perahia 1994   24  0.705  0.0411  0.1316  0.541  0.768  0.64
Perlemuter 1986   10  0.742  0.133  0.243  0.742  0.742  0.74
Poblocka 1999   39  0.6739  0.0049  0.0650  0.0634  0.0942  0.07
Rangell 2001   21  0.7124  0.0025  0.1024  0.2829  0.2122  0.24
Risler 1920   56  0.6065  0.0055  0.0461  0.0449  0.0657  0.05
Rosen 1989   53  0.6232  0.0059  0.0555  0.0555  0.0563  0.05
Rubinstein 1939   13  0.7315  0.015  0.1312  0.583  0.775  0.67
Rubinstein 1952   7  0.756  0.046  0.1614  0.5711  0.5211  0.54
Rubinstein 1966   1  0.801  0.401  0.401  0.804  0.771  0.78
Rummel 1943   55  0.6050  0.0050  0.0651  0.0615  0.2834  0.13
Shebanova 2002   12  0.7325  0.0020  0.1820  0.4736  0.0727  0.18
Smith 1975   19  0.7114  0.019  0.1717  0.536  0.5012  0.51
Szpilman 1948   38  0.6729  0.0028  0.0630  0.1446  0.0638  0.09
Uninsky 1971   20  0.7127  0.0022  0.0922  0.3918  0.3020  0.34
Wasowski 1980   34  0.6851  0.0043  0.0645  0.0614  0.4630  0.17
Weissenberg 1971   47  0.6552  0.0044  0.0638  0.0655  0.0561  0.05
Random 1    65  -0.0463  0.0064  0.0264  0.0251  0.0365  0.02
Random 2   63  0.0464  0.0063  0.0363  0.0341  0.0564  0.04
Random 3   64  -0.0258  0.0065  0.0265  0.0210  0.4141  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).