Czerny 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   43  0.6638  0.0052  0.0559  0.0555  0.0461  0.04
Ashkenazy 1981   14  0.7556  0.0025  0.0822  0.2833  0.1326  0.19
Beliavsky 2004   22  0.7312  0.0126  0.1023  0.2812  0.3919  0.33
BenOr 1989   17  0.7459  0.0028  0.0825  0.2751  0.0536  0.12
Biret 1990   5  0.7827  0.0010  0.167  0.6327  0.2813  0.42
Blet 2003   54  0.6260  0.0055  0.0646  0.0662  0.0455  0.05
Block 1995   36  0.6931  0.0044  0.0841  0.0846  0.0547  0.06
Brailowsky 1960   35  0.699  0.0246  0.0648  0.0647  0.0646  0.06
Chiu 1999   33  0.7036  0.0027  0.1124  0.2733  0.1324  0.19
Clidat 1994   18  0.7420  0.0135  0.0744  0.0713  0.4428  0.18
Cohen 1997   41  0.6749  0.0045  0.0561  0.0533  0.0849  0.06
Coop 1987   4  0.784  0.064  0.214  0.679  0.582  0.62
Cortot 1951   29  0.7148  0.0038  0.0939  0.0940  0.0643  0.07
Czerny 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1949b   7  0.775  0.055  0.166  0.634  0.661  0.64
Ezaki 2006   6  0.7832  0.0012  0.1613  0.5820  0.469  0.52
Falvay 1989   24  0.7326  0.0037  0.1332  0.1333  0.1135  0.12
Ferenczy 1958   38  0.696  0.0317  0.1229  0.214  0.5817  0.35
Fiorentino 1962   21  0.7364  0.0019  0.1218  0.4736  0.1022  0.22
Fliere 1977   27  0.7161  0.0036  0.0940  0.0940  0.0642  0.07
Fou 1978   28  0.7162  0.0029  0.0927  0.2443  0.0733  0.13
Francois 1956   63  0.3546  0.0063  0.0560  0.0556  0.0464  0.04
Hatto 1997   55  0.5963  0.0058  0.0557  0.0556  0.0460  0.04
Horowitz 1971   59  0.5553  0.0060  0.0649  0.0647  0.0650  0.06
Horowitz 1985   60  0.5241  0.0057  0.0653  0.0648  0.0645  0.06
Indjic 2001   52  0.6365  0.0054  0.0654  0.0658  0.0458  0.05
Kapell 1951   31  0.7017  0.0118  0.1119  0.3834  0.0927  0.18
Kiepura 1999   47  0.6443  0.0056  0.0743  0.0744  0.0544  0.06
Kilenyi 1937   13  0.7521  0.0111  0.199  0.6217  0.555  0.58
Kissin 1993   10  0.7615  0.017  0.125  0.6417  0.4110  0.51
Kitain 1937   62  0.4624  0.0061  0.0651  0.0655  0.0459  0.05
Kushner 1990   50  0.6428  0.0047  0.0647  0.0619  0.3330  0.14
Levy 1951   25  0.7258  0.0024  0.0820  0.3433  0.1421  0.22
Luisada 1990   20  0.7350  0.0031  0.0730  0.1338  0.0737  0.10
Lushtak 2004   51  0.6447  0.0049  0.0463  0.0445  0.0657  0.05
Lympany 1968   49  0.6440  0.0050  0.0562  0.0541  0.0651  0.05
Magaloff 1977   30  0.7144  0.0030  0.1121  0.3040  0.0732  0.14
Magaloff 1977b   34  0.6966  0.0032  0.0731  0.1341  0.0738  0.10
Magin 1975   8  0.7725  0.0016  0.1616  0.5212  0.558  0.53
Milkina 1970   46  0.6519  0.0151  0.0652  0.0658  0.0453  0.05
Mohovich 1999   26  0.7242  0.0033  0.0742  0.0737  0.0648  0.06
Nadelmann 1956   42  0.6739  0.0042  0.1233  0.1240  0.0639  0.08
Ohlsson 1999   32  0.7014  0.0134  0.0745  0.0719  0.3329  0.15
Olejniczac 1990   15  0.7537  0.0014  0.1711  0.5830  0.2615  0.39
Olejniczak 1991   9  0.7711  0.016  0.128  0.6222  0.467  0.53
Osinska 1989   3  0.802  0.172  0.342  0.6812  0.553  0.61
Paderewski 1912   45  0.6618  0.0123  0.0628  0.2316  0.4918  0.34
Perahia 1994   58  0.5730  0.0022  0.0735  0.1135  0.0640  0.08
Perlemuter 1986   61  0.5152  0.0062  0.0655  0.0661  0.0454  0.05
Poblocka 1999   2  0.828  0.023  0.353  0.6821  0.486  0.57
Rangell 2001   23  0.7313  0.0115  0.1617  0.4923  0.4411  0.46
Risler 1920   53  0.6222  0.0040  0.1036  0.1018  0.4323  0.21
Rosen 1989   56  0.5957  0.0059  0.0556  0.0562  0.0363  0.04
Rubinstein 1939   40  0.693  0.0739  0.1038  0.1013  0.3725  0.19
Rubinstein 1952   39  0.6934  0.0041  0.1037  0.1035  0.0741  0.08
Rubinstein 1966   48  0.6451  0.0048  0.0650  0.0656  0.0456  0.05
Rummel 1943   57  0.5945  0.0053  0.0558  0.0561  0.0462  0.04
Shebanova 2002   44  0.6633  0.0043  0.1234  0.1229  0.1434  0.13
Smith 1975   16  0.7523  0.0013  0.1414  0.5721  0.3014  0.41
Szpilman 1948   19  0.737  0.038  0.1310  0.597  0.584  0.58
Uninsky 1971   37  0.6916  0.0121  0.0826  0.2738  0.0731  0.14
Wasowski 1980   11  0.7529  0.0020  0.1615  0.5327  0.2516  0.36
Weissenberg 1971   12  0.7510  0.029  0.1312  0.5825  0.3012  0.42
Average   1  0.841  0.381  0.371  0.7233  0.1020  0.27
Random 1    65  -0.0154  0.0065  0.0265  0.0231  0.1552  0.05
Random 2   64  0.0035  0.0064  0.0364  0.0346  0.0465  0.03
Random 3   66  -0.0255  0.0066  0.0166  0.0144  0.0566  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).