Average

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   48  0.8531  0.0045  0.0737  0.072  0.7039  0.22
Ashkenazy 1981   27  0.916  0.0231  0.0731  0.142  0.7531  0.32
Beliavsky 2004   47  0.8539  0.0052  0.0551  0.051  0.5755  0.17
BenOr 1989   4  0.955  0.023  0.233  0.661  0.803  0.73
Biret 1990   55  0.8452  0.0048  0.0456  0.041  0.7456  0.17
Blet 2003   23  0.9221  0.0022  0.0920  0.371  0.7720  0.53
Block 1995   43  0.8741  0.0054  0.0736  0.071  0.5946  0.20
Brailowsky 1960   45  0.8655  0.0053  0.0550  0.051  0.7349  0.19
Chiu 1999   38  0.8936  0.0035  0.0644  0.062  0.6942  0.20
Clidat 1994   21  0.9223  0.0014  0.1016  0.471  0.7116  0.58
Cohen 1997   62  0.6332  0.0063  0.0646  0.067  0.5352  0.18
Coop 1987   13  0.9345  0.007  0.116  0.591  0.766  0.67
Cortot 1951   54  0.8463  0.0056  0.0463  0.042  0.6457  0.16
Czerny 1949   39  0.8927  0.009  0.1321  0.372  0.6923  0.51
Czerny 1949b   22  0.9211  0.0110  0.1913  0.492  0.7910  0.62
Ezaki 2006   5  0.957  0.015  0.155  0.601  0.835  0.71
Falvay 1989   25  0.9144  0.0027  0.0730  0.192  0.6830  0.36
Ferenczy 1958   56  0.8361  0.0039  0.0643  0.062  0.6745  0.20
Fiorentino 1962   12  0.9450  0.0016  0.1711  0.493  0.809  0.63
Fliere 1977   2  0.963  0.104  0.304  0.651  0.794  0.72
Fou 1978   9  0.9416  0.0011  0.1612  0.491  0.7811  0.62
Francois 1956   46  0.8642  0.0049  0.0555  0.051  0.6753  0.18
Hatto 1997   51  0.8457  0.0040  0.0735  0.072  0.6838  0.22
Horowitz 1971   41  0.8833  0.0044  0.0645  0.061  0.7047  0.20
Horowitz 1985   60  0.7260  0.0061  0.0460  0.0413  0.4960  0.14
Indjic 2001   52  0.8438  0.0041  0.0740  0.072  0.6841  0.22
Kapell 1951   14  0.9328  0.0018  0.1114  0.471  0.7814  0.61
Kiepura 1999   37  0.8919  0.0042  0.0741  0.071  0.6736  0.22
Kilenyi 1937   16  0.9334  0.0012  0.139  0.504  0.6318  0.56
Kissin 1993   3  0.961  0.361  0.362  0.771  0.802  0.78
Kitain 1937   63  0.5047  0.0062  0.0462  0.0414  0.4063  0.13
Kushner 1990   29  0.9117  0.0019  0.1224  0.321  0.8122  0.51
Levy 1951   57  0.8149  0.0059  0.0647  0.062  0.6443  0.20
Luisada 1990   10  0.944  0.0321  0.1217  0.431  0.7817  0.58
Lushtak 2004   6  0.9520  0.006  0.147  0.531  0.817  0.66
Lympany 1968   28  0.9135  0.0033  0.0738  0.071  0.7335  0.23
Magaloff 1977   15  0.9354  0.0028  0.0725  0.272  0.7225  0.44
Magaloff 1977b   17  0.9326  0.0029  0.0927  0.252  0.7227  0.42
Magin 1975   19  0.938  0.0130  0.0928  0.254  0.6926  0.42
Milkina 1970   30  0.9110  0.0134  0.0742  0.071  0.8033  0.24
Mohovich 1999   31  0.9043  0.0026  0.0929  0.222  0.7928  0.42
Nadelmann 1956   50  0.8515  0.0150  0.0457  0.042  0.5859  0.15
Ohlsson 1999   42  0.8737  0.0047  0.0458  0.047  0.5958  0.15
Olejniczac 1990   11  0.9440  0.0015  0.128  0.523  0.808  0.64
Olejniczak 1991   7  0.9459  0.0013  0.1410  0.493  0.7713  0.61
Osinska 1989   1  0.962  0.322  0.391  0.831  0.911  0.87
Paderewski 1912   40  0.8851  0.0038  0.0734  0.071  0.7240  0.22
Perahia 1994   61  0.6714  0.0160  0.0461  0.049  0.4862  0.14
Perlemuter 1986   32  0.909  0.018  0.1119  0.411  0.8115  0.58
Poblocka 1999   8  0.9429  0.0020  0.1115  0.472  0.7912  0.61
Rangell 2001   24  0.9256  0.0032  0.0532  0.103  0.6932  0.26
Risler 1920   44  0.8662  0.0046  0.0549  0.056  0.5654  0.17
Rosen 1989   34  0.9030  0.0043  0.0648  0.061  0.5950  0.19
Rubinstein 1939   59  0.7624  0.0055  0.0554  0.053  0.6751  0.18
Rubinstein 1952   35  0.8925  0.0037  0.0833  0.081  0.7134  0.24
Rubinstein 1966   49  0.8518  0.0051  0.0552  0.051  0.8144  0.20
Rummel 1943   58  0.7753  0.0058  0.0459  0.046  0.5261  0.14
Shebanova 2002   18  0.9313  0.0125  0.1318  0.421  0.7219  0.55
Smith 1975   20  0.9246  0.0024  0.1122  0.361  0.7621  0.52
Szpilman 1948   26  0.9112  0.0123  0.0823  0.331  0.7524  0.50
Uninsky 1971   33  0.9022  0.0017  0.0926  0.251  0.6829  0.41
Wasowski 1980   53  0.8448  0.0057  0.0553  0.051  0.7148  0.19
Weissenberg 1971   36  0.8958  0.0036  0.0739  0.077  0.6737  0.22
Average   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 1    65  -0.1064  0.0065  0.0265  0.0251  0.0365  0.02
Random 2   64  0.0765  0.0064  0.0464  0.0435  0.0564  0.04
Random 3   66  -0.1766  0.0066  0.0166  0.0158  0.0266  0.01
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).