Coop 1987

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   57  0.7114  0.0154  0.0551  0.0536  0.0950  0.07
Ashkenazy 1981   37  0.8226  0.0042  0.0939  0.0938  0.0748  0.08
Beliavsky 2004   49  0.7358  0.0052  0.0460  0.0437  0.0756  0.05
BenOr 1989   15  0.9115  0.0113  0.1213  0.505  0.6213  0.56
Biret 1990   48  0.7527  0.0046  0.0742  0.0720  0.2842  0.14
Blet 2003   26  0.8636  0.0038  0.1136  0.1135  0.0944  0.10
Block 1995   19  0.8922  0.0029  0.1026  0.246  0.5522  0.36
Brailowsky 1960   54  0.7256  0.0050  0.0461  0.0430  0.1746  0.08
Chiu 1999   8  0.9430  0.009  0.2610  0.564  0.6012  0.58
Clidat 1994   30  0.8528  0.0026  0.1024  0.2611  0.4127  0.33
Cohen 1997   61  0.5237  0.0061  0.0364  0.0340  0.0563  0.04
Coop 1987   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cortot 1951   44  0.7851  0.0048  0.0747  0.079  0.4737  0.18
Czerny 1949   42  0.7966  0.0017  0.1722  0.3119  0.3923  0.35
Czerny 1949b   33  0.8352  0.0022  0.0729  0.2027  0.2830  0.24
Ezaki 2006   2  0.9612  0.014  0.377  0.664  0.704  0.68
Falvay 1989   4  0.952  0.192  0.268  0.631  0.716  0.67
Ferenczy 1958   31  0.8332  0.0027  0.0819  0.331  0.6919  0.48
Fiorentino 1962   14  0.9134  0.0016  0.1215  0.445  0.6416  0.53
Fliere 1977   21  0.8819  0.0123  0.0821  0.3218  0.3526  0.33
Fou 1978   17  0.9061  0.0018  0.1117  0.439  0.5617  0.49
Francois 1956   52  0.7343  0.0051  0.0458  0.0433  0.0853  0.06
Hatto 1997   50  0.7359  0.0044  0.0648  0.0646  0.0557  0.05
Horowitz 1971   46  0.7740  0.0049  0.0649  0.0639  0.0652  0.06
Horowitz 1985   60  0.5453  0.0062  0.0457  0.0439  0.0754  0.05
Indjic 2001   51  0.7360  0.0045  0.0650  0.0646  0.0559  0.05
Kapell 1951   3  0.967  0.065  0.243  0.722  0.762  0.74
Kiepura 1999   38  0.8147  0.0041  0.1135  0.1110  0.4831  0.23
Kilenyi 1937   7  0.9442  0.008  0.266  0.661  0.705  0.68
Kissin 1993   5  0.956  0.077  0.234  0.693  0.618  0.65
Kitain 1937   63  0.3939  0.0063  0.0552  0.0560  0.0464  0.04
Kushner 1990   34  0.825  0.0714  0.1132  0.1717  0.2833  0.22
Levy 1951   47  0.7549  0.0053  0.0555  0.0520  0.3643  0.13
Luisada 1990   22  0.8833  0.0025  0.0725  0.2511  0.4524  0.34
Lushtak 2004   13  0.9123  0.0019  0.1314  0.475  0.6414  0.55
Lympany 1968   29  0.8529  0.0035  0.0841  0.085  0.5634  0.21
Magaloff 1977   25  0.8657  0.0039  0.1333  0.1321  0.2735  0.19
Magaloff 1977b   28  0.8531  0.0040  0.1234  0.1224  0.2240  0.16
Magin 1975   11  0.9311  0.0112  0.2511  0.553  0.6910  0.62
Milkina 1970   43  0.788  0.0247  0.0746  0.0733  0.0749  0.07
Mohovich 1999   35  0.8217  0.0121  0.0820  0.338  0.4820  0.40
Nadelmann 1956   53  0.7255  0.0056  0.0743  0.0747  0.0551  0.06
Ohlsson 1999   18  0.9018  0.0120  0.0918  0.374  0.6418  0.49
Olejniczac 1990   16  0.9046  0.0015  0.1116  0.445  0.6315  0.53
Olejniczak 1991   12  0.929  0.0210  0.199  0.575  0.719  0.64
Osinska 1989   24  0.8716  0.0132  0.1030  0.1826  0.1836  0.18
Paderewski 1912   41  0.8063  0.0036  0.0744  0.0722  0.2741  0.14
Perahia 1994   62  0.4813  0.0160  0.0462  0.0456  0.0462  0.04
Perlemuter 1986   45  0.7821  0.0024  0.0727  0.2418  0.3128  0.27
Poblocka 1999   6  0.953  0.083  0.302  0.723  0.771  0.74
Rangell 2001   10  0.9344  0.0011  0.1612  0.544  0.6611  0.60
Risler 1920   27  0.8562  0.0033  0.0938  0.097  0.5532  0.22
Rosen 1989   23  0.8720  0.0030  0.1128  0.225  0.5425  0.34
Rubinstein 1939   59  0.5848  0.0059  0.0456  0.0447  0.0655  0.05
Rubinstein 1952   39  0.8110  0.0137  0.0840  0.0814  0.3638  0.17
Rubinstein 1966   56  0.7135  0.0055  0.0554  0.0559  0.0461  0.04
Rummel 1943   58  0.6538  0.0057  0.0459  0.0438  0.0658  0.05
Shebanova 2002   20  0.8925  0.0028  0.1023  0.3111  0.4821  0.39
Smith 1975   32  0.8341  0.0034  0.0745  0.0718  0.3739  0.16
Szpilman 1948   36  0.8224  0.0031  0.0831  0.1715  0.3929  0.26
Uninsky 1971   40  0.8045  0.0043  0.1037  0.1047  0.0647  0.08
Wasowski 1980   55  0.7254  0.0058  0.0553  0.0552  0.0460  0.04
Weissenberg 1971   1  0.961  0.271  0.265  0.691  0.753  0.72
Average   9  0.934  0.086  0.201  0.766  0.597  0.67
Random 1    65  -0.0950  0.0065  0.0265  0.0238  0.0465  0.03
Random 2   64  0.0865  0.0064  0.0463  0.0419  0.2245  0.09
Random 3   66  -0.1864  0.0066  0.0166  0.0149  0.0466  0.02

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).