Czerny 1949b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   48  0.6347  0.0043  0.0743  0.0725  0.2539  0.13
Ashkenazy 1981   7  0.7522  0.009  0.187  0.6817  0.476  0.57
Beliavsky 2004   42  0.6553  0.0050  0.0647  0.0636  0.0748  0.06
BenOr 1989   12  0.7258  0.0020  0.0922  0.4055  0.0537  0.14
Biret 1990   43  0.6454  0.0037  0.1135  0.1158  0.0547  0.07
Blet 2003   55  0.5924  0.0051  0.0654  0.0653  0.0557  0.05
Block 1995   41  0.6551  0.0039  0.0938  0.0935  0.1043  0.09
Brailowsky 1960   54  0.5955  0.0058  0.0646  0.0653  0.0553  0.05
Chiu 1999   36  0.6742  0.0032  0.0932  0.1832  0.1930  0.18
Clidat 1994   37  0.6635  0.0038  0.1037  0.1040  0.0644  0.08
Cohen 1997   63  0.4544  0.0063  0.0658  0.0652  0.0561  0.05
Coop 1987   14  0.7131  0.0012  0.1414  0.5632  0.2025  0.33
Cortot 1951   44  0.6429  0.0049  0.0651  0.068  0.5134  0.17
Czerny 1949   1  0.861  0.721  0.711  0.911  0.901  0.90
Czerny 1949b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ezaki 2006   10  0.7436  0.0010  0.1811  0.6028  0.3114  0.43
Falvay 1989   34  0.6726  0.0034  0.0839  0.0831  0.1740  0.12
Ferenczy 1958   57  0.5848  0.0057  0.0561  0.0548  0.0658  0.05
Fiorentino 1962   20  0.7030  0.0017  0.1512  0.5922  0.448  0.51
Fliere 1977   4  0.769  0.015  0.214  0.729  0.593  0.65
Fou 1978   8  0.745  0.016  0.235  0.7115  0.534  0.61
Francois 1956   61  0.5456  0.0062  0.0559  0.0542  0.0662  0.05
Hatto 1997   47  0.6412  0.0045  0.0842  0.0837  0.0745  0.07
Horowitz 1971   53  0.5911  0.0054  0.0560  0.0553  0.0464  0.04
Horowitz 1985   59  0.563  0.0248  0.0652  0.0611  0.4832  0.17
Indjic 2001   46  0.6440  0.0044  0.0745  0.0742  0.0746  0.07
Kapell 1951   22  0.7037  0.0014  0.1015  0.5530  0.2717  0.39
Kiepura 1999   33  0.6817  0.0041  0.0744  0.0727  0.2835  0.14
Kilenyi 1937   9  0.7419  0.008  0.229  0.6521  0.505  0.57
Kissin 1993   11  0.7345  0.007  0.2010  0.6429  0.2418  0.39
Kitain 1937   62  0.4549  0.0061  0.0463  0.0437  0.0951  0.06
Kushner 1990   56  0.5963  0.0053  0.0657  0.0660  0.0455  0.05
Levy 1951   27  0.6914  0.0022  0.1020  0.429  0.627  0.51
Luisada 1990   13  0.7232  0.0021  0.1123  0.3720  0.4915  0.43
Lushtak 2004   21  0.707  0.0126  0.1025  0.3410  0.5713  0.44
Lympany 1968   51  0.6161  0.0052  0.0653  0.0647  0.0552  0.05
Magaloff 1977   15  0.7120  0.0023  0.0919  0.4327  0.3220  0.37
Magaloff 1977b   16  0.7110  0.0024  0.1321  0.4123  0.3322  0.37
Magin 1975   5  0.766  0.013  0.196  0.7118  0.622  0.66
Milkina 1970   49  0.6246  0.0056  0.0649  0.0658  0.0454  0.05
Mohovich 1999   45  0.6460  0.0046  0.0648  0.0649  0.0560  0.05
Nadelmann 1956   35  0.6718  0.0027  0.1024  0.3516  0.3724  0.36
Ohlsson 1999   29  0.6833  0.0035  0.1036  0.1022  0.3131  0.18
Olejniczac 1990   19  0.7159  0.0016  0.1213  0.5926  0.3712  0.47
Olejniczak 1991   23  0.7043  0.0018  0.0818  0.4427  0.3023  0.36
Osinska 1989   3  0.7616  0.004  0.213  0.7327  0.349  0.50
Paderewski 1912   31  0.6815  0.0028  0.1027  0.308  0.4621  0.37
Perahia 1994   60  0.5550  0.0060  0.0650  0.0655  0.0559  0.05
Perlemuter 1986   58  0.5764  0.0059  0.0562  0.0541  0.0656  0.05
Poblocka 1999   6  0.7521  0.0011  0.268  0.6728  0.3610  0.49
Rangell 2001   32  0.6852  0.0033  0.1333  0.1329  0.2133  0.17
Risler 1920   52  0.6138  0.0042  0.0841  0.0832  0.2138  0.13
Rosen 1989   50  0.6225  0.0055  0.0655  0.0641  0.0650  0.06
Rubinstein 1939   40  0.654  0.0113  0.1328  0.2611  0.5319  0.37
Rubinstein 1952   24  0.7013  0.0030  0.0929  0.2529  0.2129  0.23
Rubinstein 1966   39  0.6527  0.0040  0.0840  0.0838  0.0549  0.06
Rummel 1943   38  0.6523  0.0047  0.0656  0.0628  0.2142  0.11
Shebanova 2002   30  0.6839  0.0036  0.1234  0.1231  0.1341  0.12
Smith 1975   26  0.6934  0.0031  0.1130  0.2341  0.0836  0.14
Szpilman 1948   25  0.7028  0.0019  0.1016  0.4819  0.4711  0.47
Uninsky 1971   18  0.718  0.0125  0.1126  0.3129  0.2827  0.29
Wasowski 1980   17  0.7141  0.0029  0.0931  0.2223  0.3826  0.29
Weissenberg 1971   28  0.6866  0.0015  0.0817  0.4633  0.1328  0.24
Average   2  0.822  0.172  0.752  0.8832  0.2016  0.42
Random 1    66  -0.0362  0.0065  0.0265  0.0237  0.0565  0.03
Random 2   64  0.0057  0.0064  0.0364  0.0353  0.0366  0.03
Random 3   65  -0.0265  0.0066  0.0166  0.0126  0.1663  0.04
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).