Francois 1956

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.5718  0.007  0.129  0.5639  0.0611  0.18
Ashkenazy 1981   22  0.5717  0.0027  0.1022  0.3158  0.0524  0.12
Beliavsky 2004   28  0.5454  0.0036  0.0640  0.0651  0.0547  0.05
BenOr 1989   4  0.624  0.045  0.153  0.6955  0.056  0.19
Biret 1990   59  0.4636  0.0059  0.0549  0.0554  0.0655  0.05
Blet 2003   13  0.583  0.074  0.125  0.6251  0.059  0.18
Block 1995   55  0.4922  0.0044  0.0737  0.0754  0.0453  0.05
Brailowsky 1960   25  0.5552  0.0026  0.0820  0.3561  0.0419  0.12
Chiu 1999   48  0.5126  0.0042  0.0639  0.0657  0.0445  0.05
Clidat 1994   26  0.5562  0.0017  0.1218  0.4351  0.0517  0.15
Cohen 1997   58  0.4641  0.0057  0.0361  0.0344  0.0560  0.04
Coop 1987   51  0.5124  0.0043  0.0738  0.0760  0.0540  0.06
Cortot 1951   43  0.5257  0.0050  0.0554  0.0559  0.0462  0.04
Czerny 1949   52  0.5053  0.0056  0.0457  0.0453  0.0649  0.05
Czerny 1949b   35  0.5431  0.0049  0.0642  0.0658  0.0639  0.06
Ezaki 2006   37  0.5355  0.0047  0.0646  0.0660  0.0542  0.05
Falvay 1989   7  0.612  0.093  0.232  0.7046  0.074  0.22
Ferenczy 1958   36  0.5356  0.0037  0.0833  0.0850  0.0634  0.07
Fiorentino 1962   30  0.5428  0.0031  0.0631  0.1352  0.0632  0.09
Fliere 1977   10  0.5935  0.0014  0.1214  0.5249  0.067  0.18
Fou 1978   38  0.5342  0.0025  0.0726  0.2161  0.0429  0.09
Francois 1956   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1997   8  0.605  0.046  0.164  0.6559  0.0510  0.18
Horowitz 1971   23  0.5734  0.0016  0.1216  0.4958  0.0325  0.12
Horowitz 1985   60  0.4360  0.0062  0.0648  0.0662  0.0444  0.05
Indjic 2001   9  0.6010  0.0111  0.136  0.6162  0.0414  0.16
Kapell 1951   40  0.5215  0.0139  0.0641  0.0662  0.0358  0.04
Kiepura 1999   34  0.5459  0.0055  0.0552  0.0540  0.0643  0.05
Kilenyi 1937   53  0.5032  0.0054  0.0455  0.0458  0.0459  0.04
Kissin 1993   47  0.5129  0.0023  0.0827  0.2047  0.0627  0.11
Kitain 1937   62  0.3961  0.0061  0.0553  0.0550  0.0461  0.04
Kushner 1990   42  0.5250  0.0030  0.0730  0.1544  0.0630  0.09
Levy 1951   46  0.5144  0.0034  0.0644  0.0653  0.0638  0.06
Luisada 1990   49  0.5137  0.0058  0.0456  0.0454  0.0652  0.05
Lushtak 2004   14  0.5839  0.0018  0.1217  0.4653  0.0518  0.15
Lympany 1968   21  0.5725  0.0022  0.0821  0.3259  0.0426  0.11
Magaloff 1977   27  0.5546  0.0028  0.0729  0.1756  0.0531  0.09
Magaloff 1977b   31  0.5443  0.0041  0.0645  0.0656  0.0454  0.05
Magin 1975   41  0.5227  0.0052  0.0458  0.0460  0.0457  0.04
Milkina 1970   3  0.6213  0.012  0.247  0.5932  0.142  0.29
Mohovich 1999   2  0.6216  0.019  0.1312  0.5447  0.0515  0.16
Nadelmann 1956   24  0.5645  0.0024  0.0924  0.2645  0.0621  0.12
Ohlsson 1999   45  0.5111  0.0133  0.0550  0.0555  0.0548  0.05
Olejniczac 1990   32  0.5458  0.0040  0.0643  0.0656  0.0550  0.05
Olejniczak 1991   57  0.4830  0.0053  0.0460  0.0459  0.0556  0.04
Osinska 1989   5  0.618  0.0212  0.1110  0.5651  0.068  0.18
Paderewski 1912   39  0.5223  0.0035  0.0551  0.0554  0.0551  0.05
Perahia 1994   20  0.577  0.0321  0.1325  0.2332  0.1412  0.18
Perlemuter 1986   1  0.661  0.561  0.551  0.7912  0.531  0.65
Poblocka 1999   29  0.5438  0.0048  0.0735  0.0747  0.0637  0.06
Rangell 2001   54  0.4948  0.0051  0.0362  0.0360  0.0464  0.03
Risler 1920   61  0.4219  0.0060  0.0459  0.0462  0.0363  0.03
Rosen 1989   16  0.589  0.0110  0.1213  0.5330  0.153  0.28
Rubinstein 1939   44  0.5151  0.0038  0.0647  0.0648  0.0446  0.05
Rubinstein 1952   33  0.5449  0.0032  0.0632  0.1162  0.0435  0.07
Rubinstein 1966   18  0.5733  0.0015  0.1215  0.4945  0.0513  0.16
Rummel 1943   12  0.5920  0.0020  0.0923  0.2947  0.0523  0.12
Shebanova 2002   11  0.596  0.0313  0.1111  0.5443  0.075  0.19
Smith 1975   6  0.6121  0.008  0.158  0.5862  0.0416  0.15
Szpilman 1948   50  0.5114  0.0146  0.0736  0.0751  0.0636  0.06
Uninsky 1971   19  0.5747  0.0019  0.1119  0.3859  0.0422  0.12
Wasowski 1980   15  0.5840  0.0029  0.0728  0.1849  0.0628  0.10
Weissenberg 1971   56  0.4912  0.0145  0.0834  0.0850  0.0633  0.07
Random 1    63  0.0063  0.0063  0.0363  0.032  0.5020  0.12
Random 2   64  -0.0264  0.0064  0.0264  0.0258  0.0265  0.02
Random 3   65  -0.0465  0.0065  0.0265  0.0224  0.2041  0.06

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).