Average

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   58  0.5244  0.0053  0.0558  0.051  0.8355  0.20
Ashkenazy 1981   39  0.6161  0.0044  0.0742  0.071  0.8640  0.25
Beliavsky 2004   61  0.4559  0.0061  0.0649  0.064  0.6954  0.20
BenOr 1989   4  0.727  0.027  0.312  0.761  0.942  0.85
Biret 1990   15  0.6718  0.0017  0.0817  0.351  0.8917  0.56
Blet 2003   21  0.6433  0.0014  0.1111  0.491  0.8312  0.64
Block 1995   19  0.6520  0.0020  0.0719  0.341  0.9018  0.55
Brailowsky 1960   14  0.6714  0.0116  0.1115  0.391  0.8915  0.59
Chiu 1999   41  0.6023  0.0042  0.0644  0.061  0.8544  0.23
Clidat 1994   24  0.6437  0.0037  0.0837  0.081  0.8639  0.26
Cohen 1997   63  0.4156  0.0062  0.0553  0.052  0.6959  0.19
Coop 1987   3  0.7328  0.005  0.174  0.651  0.914  0.77
Cortot 1951   62  0.4464  0.0063  0.0650  0.065  0.7251  0.21
Czerny 1949   33  0.6230  0.0034  0.1035  0.102  0.8934  0.30
Czerny 1949b   43  0.5917  0.0045  0.0645  0.062  0.8945  0.23
Ezaki 2006   18  0.6640  0.0023  0.0720  0.331  0.8919  0.54
Falvay 1989   23  0.6436  0.0031  0.0729  0.171  0.8729  0.38
Ferenczy 1958   37  0.6148  0.0019  0.0718  0.352  0.8221  0.54
Fiorentino 1962   31  0.6357  0.0036  0.1034  0.103  0.8935  0.30
Fliere 1977   44  0.5932  0.0047  0.0936  0.091  0.8536  0.28
Fou 1978   30  0.6345  0.0035  0.0838  0.081  0.8537  0.26
Francois 1956   55  0.5458  0.0058  0.0554  0.051  0.8157  0.20
Hatto 1997   26  0.6325  0.0021  0.0723  0.252  0.8625  0.46
Horowitz 1971   27  0.6327  0.0029  0.0728  0.191  0.8928  0.41
Horowitz 1985   51  0.5619  0.0032  0.0731  0.142  0.8431  0.34
Indjic 2001   28  0.6312  0.0122  0.1126  0.232  0.8526  0.44
Kapell 1951   42  0.6021  0.0043  0.0740  0.071  0.8543  0.24
Kiepura 1999   17  0.6638  0.0018  0.0916  0.391  0.9114  0.60
Kilenyi 1937   35  0.6231  0.0030  0.0732  0.131  0.8832  0.34
Kissin 1993   29  0.639  0.0139  0.0839  0.081  0.8438  0.26
Kitain 1937   60  0.4647  0.0060  0.0557  0.051  0.8356  0.20
Kushner 1990   10  0.688  0.018  0.267  0.571  0.917  0.72
Levy 1951   53  0.5649  0.0054  0.0559  0.051  0.7852  0.20
Luisada 1990   47  0.5729  0.0049  0.0463  0.041  0.8361  0.18
Lushtak 2004   20  0.6541  0.0024  0.0824  0.251  0.8924  0.47
Lympany 1968   40  0.6026  0.0046  0.0741  0.071  0.8341  0.24
Magaloff 1977   52  0.5646  0.0056  0.0646  0.062  0.8247  0.22
Magaloff 1977b   57  0.5422  0.0057  0.0651  0.062  0.7650  0.21
Magin 1975   9  0.694  0.0610  0.1512  0.461  0.9011  0.64
Milkina 1970   5  0.723  0.123  0.286  0.591  0.886  0.72
Mohovich 1999   49  0.5662  0.0052  0.0460  0.041  0.8263  0.18
Nadelmann 1956   6  0.716  0.026  0.245  0.641  0.905  0.76
Ohlsson 1999   22  0.6442  0.0025  0.0922  0.291  0.8522  0.50
Olejniczac 1990   25  0.6450  0.0026  0.0825  0.253  0.9023  0.47
Olejniczak 1991   32  0.6253  0.0028  0.0727  0.193  0.8927  0.41
Osinska 1989   1  0.781  0.331  0.321  0.831  0.941  0.88
Paderewski 1912   50  0.5654  0.0041  0.0552  0.051  0.7558  0.19
Perahia 1994   13  0.6855  0.0015  0.1314  0.421  0.8216  0.59
Perlemuter 1986   8  0.6916  0.0012  0.1310  0.521  0.918  0.69
Poblocka 1999   34  0.6215  0.0033  0.0743  0.071  0.8242  0.24
Rangell 2001   45  0.5851  0.0048  0.0462  0.041  0.8660  0.19
Risler 1920   59  0.5052  0.0059  0.0647  0.061  0.8046  0.22
Rosen 1989   56  0.5434  0.0051  0.0461  0.041  0.7962  0.18
Rubinstein 1939   16  0.6611  0.019  0.1813  0.451  0.8413  0.61
Rubinstein 1952   7  0.715  0.064  0.208  0.531  0.9110  0.69
Rubinstein 1966   2  0.752  0.292  0.393  0.731  0.923  0.82
Rummel 1943   48  0.5760  0.0055  0.0648  0.061  0.8048  0.22
Shebanova 2002   11  0.6813  0.0111  0.139  0.521  0.919  0.69
Smith 1975   38  0.6139  0.0027  0.0830  0.151  0.8330  0.35
Szpilman 1948   54  0.5624  0.0050  0.0555  0.051  0.8549  0.21
Uninsky 1971   36  0.6243  0.0038  0.1233  0.121  0.8833  0.32
Wasowski 1980   12  0.6810  0.0113  0.1121  0.321  0.9120  0.54
Weissenberg 1971   46  0.5835  0.0040  0.0556  0.052  0.7953  0.20
Average   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 1    66  -0.0165  0.0065  0.0264  0.0243  0.0464  0.03
Random 2   65  0.0063  0.0066  0.0166  0.0148  0.0466  0.02
Random 3   64  0.0266  0.0064  0.0265  0.0245  0.0565  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).