Osinska 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   34  0.7547  0.0030  0.0730  0.221  0.7928  0.42
Ashkenazy 1981   6  0.817  0.0210  0.146  0.631  0.805  0.71
Beliavsky 2004   55  0.6750  0.0054  0.0461  0.0413  0.4361  0.13
BenOr 1989   1  0.862  0.302  0.511  0.811  0.881  0.84
Biret 1990   40  0.7452  0.0036  0.0935  0.091  0.7833  0.26
Blet 2003   32  0.7632  0.0035  0.0936  0.091  0.7034  0.25
Block 1995   42  0.7340  0.0048  0.0655  0.062  0.6649  0.20
Brailowsky 1960   52  0.6946  0.0056  0.0557  0.053  0.6754  0.18
Chiu 1999   46  0.7342  0.0040  0.1034  0.1016  0.5044  0.22
Clidat 1994   38  0.7557  0.0033  0.0843  0.087  0.4848  0.20
Cohen 1997   61  0.5343  0.0062  0.0652  0.068  0.6053  0.19
Coop 1987   8  0.819  0.017  0.125  0.653  0.719  0.68
Cortot 1951   59  0.6430  0.0060  0.0362  0.036  0.6560  0.14
Czerny 1949   28  0.7714  0.019  0.1514  0.563  0.7416  0.64
Czerny 1949b   18  0.7816  0.0114  0.1110  0.583  0.7611  0.66
Ezaki 2006   5  0.823  0.093  0.252  0.751  0.803  0.77
Falvay 1989   17  0.7811  0.0122  0.1217  0.522  0.7219  0.61
Ferenczy 1958   57  0.6558  0.0055  0.0458  0.047  0.6557  0.16
Fiorentino 1962   25  0.7819  0.0127  0.1326  0.303  0.7826  0.48
Fliere 1977   12  0.8017  0.0115  0.1512  0.581  0.7212  0.65
Fou 1978   9  0.8128  0.008  0.144  0.663  0.774  0.71
Francois 1956   39  0.7433  0.0044  0.0745  0.071  0.8038  0.24
Hatto 1997   48  0.7260  0.0052  0.0654  0.067  0.5852  0.19
Horowitz 1971   51  0.708  0.0151  0.0844  0.086  0.5647  0.21
Horowitz 1985   60  0.6348  0.0059  0.0748  0.074  0.6446  0.21
Indjic 2001   47  0.7254  0.0053  0.0937  0.097  0.5841  0.23
Kapell 1951   10  0.8118  0.0116  0.1615  0.542  0.7514  0.64
Kiepura 1999   41  0.7438  0.0047  0.0651  0.064  0.6151  0.19
Kilenyi 1937   27  0.7761  0.0019  0.1416  0.534  0.7318  0.62
Kissin 1993   4  0.824  0.054  0.178  0.601  0.7113  0.65
Kitain 1937   62  0.4336  0.0061  0.0460  0.048  0.5459  0.15
Kushner 1990   2  0.841  0.301  0.303  0.751  0.862  0.80
Levy 1951   54  0.6826  0.0042  0.0747  0.072  0.7045  0.22
Luisada 1990   31  0.7631  0.0038  0.0938  0.092  0.6835  0.25
Lushtak 2004   26  0.7851  0.0031  0.1029  0.245  0.6830  0.40
Lympany 1968   33  0.7622  0.0034  0.0841  0.082  0.7136  0.24
Magaloff 1977   36  0.7555  0.0043  0.0939  0.092  0.6237  0.24
Magaloff 1977b   35  0.7559  0.0041  0.0842  0.082  0.6842  0.23
Magin 1975   3  0.826  0.035  0.157  0.611  0.778  0.69
Milkina 1970   14  0.8024  0.0026  0.1325  0.322  0.7625  0.49
Mohovich 1999   24  0.7849  0.0025  0.1322  0.391  0.8022  0.56
Nadelmann 1956   22  0.7815  0.0113  0.1020  0.491  0.7021  0.59
Ohlsson 1999   29  0.7753  0.0024  0.1027  0.304  0.6827  0.45
Olejniczac 1990   19  0.7823  0.0023  0.1124  0.373  0.7823  0.54
Olejniczak 1991   11  0.8020  0.0117  0.1321  0.484  0.7820  0.61
Osinska 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Paderewski 1912   49  0.7141  0.0049  0.0653  0.065  0.4756  0.17
Perahia 1994   58  0.6444  0.0057  0.0459  0.049  0.5658  0.15
Perlemuter 1986   23  0.7813  0.0118  0.1119  0.491  0.8117  0.63
Poblocka 1999   21  0.7829  0.0028  0.0628  0.268  0.6229  0.40
Rangell 2001   30  0.7745  0.0029  0.0731  0.192  0.7031  0.36
Risler 1920   50  0.7056  0.0045  0.0649  0.0614  0.5255  0.18
Rosen 1989   45  0.7327  0.0046  0.0650  0.061  0.6850  0.20
Rubinstein 1939   53  0.6910  0.0139  0.0840  0.084  0.6439  0.23
Rubinstein 1952   13  0.8012  0.016  0.1313  0.562  0.8210  0.68
Rubinstein 1966   16  0.795  0.0421  0.1518  0.502  0.8115  0.64
Rummel 1943   56  0.6662  0.0058  0.0556  0.0511  0.3662  0.13
Shebanova 2002   7  0.8125  0.0011  0.119  0.602  0.827  0.70
Smith 1975   20  0.7834  0.0020  0.1223  0.371  0.7224  0.52
Szpilman 1948   15  0.7921  0.0112  0.1011  0.581  0.846  0.70
Uninsky 1971   43  0.7335  0.0032  0.0832  0.167  0.5132  0.29
Wasowski 1980   44  0.7339  0.0050  0.0746  0.075  0.7043  0.22
Weissenberg 1971   37  0.7537  0.0037  0.1133  0.1116  0.4740  0.23
Random 1    64  -0.0163  0.0064  0.0264  0.0215  0.3263  0.08
Random 2   63  0.0264  0.0063  0.0363  0.0339  0.0564  0.04
Random 3   65  -0.0565  0.0065  0.0265  0.0244  0.0465  0.03

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).