Lushtak 2004

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   42  0.6641  0.0033  0.0741  0.0723  0.2733  0.14
Ashkenazy 1981   6  0.7417  0.006  0.258  0.6327  0.298  0.43
Beliavsky 2004   52  0.6238  0.0054  0.0557  0.0558  0.0463  0.04
BenOr 1989   9  0.7330  0.009  0.129  0.5842  0.0819  0.22
Biret 1990   25  0.7057  0.0023  0.0919  0.3650  0.0630  0.15
Blet 2003   37  0.6827  0.0042  0.0840  0.0836  0.0945  0.08
Block 1995   24  0.7025  0.0032  0.0732  0.1329  0.2128  0.17
Brailowsky 1960   56  0.5958  0.0061  0.0458  0.0448  0.0659  0.05
Chiu 1999   21  0.7021  0.0016  0.0820  0.3633  0.1518  0.23
Clidat 1994   22  0.7045  0.0019  0.0918  0.3823  0.2115  0.28
Cohen 1997   59  0.5854  0.0062  0.0462  0.0433  0.0857  0.06
Coop 1987   8  0.7315  0.007  0.266  0.6633  0.1513  0.31
Cortot 1951   16  0.717  0.0026  0.1225  0.292  0.756  0.47
Czerny 1949   44  0.6652  0.0041  0.0650  0.0643  0.0756  0.06
Czerny 1949b   18  0.7018  0.0010  0.1510  0.5725  0.347  0.44
Ezaki 2006   3  0.752  0.045  0.294  0.7130  0.2310  0.40
Falvay 1989   4  0.7410  0.008  0.237  0.6625  0.402  0.51
Ferenczy 1958   53  0.6246  0.0055  0.0460  0.0442  0.0660  0.05
Fiorentino 1962   32  0.6966  0.0036  0.1034  0.1038  0.0944  0.09
Fliere 1977   10  0.7224  0.0017  0.0913  0.4946  0.0626  0.17
Fou 1978   29  0.6931  0.0028  0.0827  0.2443  0.0734  0.13
Francois 1956   58  0.5850  0.0059  0.0554  0.0518  0.4631  0.15
Hatto 1997   26  0.6942  0.0024  0.1221  0.3615  0.509  0.42
Horowitz 1971   49  0.6412  0.0048  0.0935  0.0920  0.3429  0.17
Horowitz 1985   62  0.5516  0.0058  0.0553  0.0529  0.2038  0.10
Indjic 2001   31  0.6955  0.0030  0.0830  0.1929  0.2023  0.19
Kapell 1951   20  0.7049  0.0021  0.1122  0.3538  0.0925  0.18
Kiepura 1999   36  0.6819  0.0040  0.0649  0.0626  0.3532  0.14
Kilenyi 1937   48  0.6465  0.0049  0.0936  0.0954  0.0648  0.07
Kissin 1993   7  0.746  0.012  0.255  0.6836  0.1017  0.26
Kitain 1937   63  0.4620  0.0063  0.0651  0.0629  0.1841  0.10
Kushner 1990   19  0.7013  0.0022  0.1114  0.449  0.593  0.51
Levy 1951   45  0.6640  0.0039  0.0744  0.0759  0.0553  0.06
Luisada 1990   23  0.7037  0.0034  0.0648  0.0644  0.0850  0.07
Lushtak 2004   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lympany 1968   17  0.713  0.0112  0.1016  0.438  0.554  0.49
Magaloff 1977   40  0.6748  0.0045  0.0839  0.0833  0.1043  0.09
Magaloff 1977b   38  0.6833  0.0044  0.0745  0.0737  0.0946  0.08
Magin 1975   13  0.7214  0.0025  0.1224  0.3133  0.1420  0.21
Milkina 1970   12  0.7232  0.0013  0.0911  0.5117  0.445  0.47
Mohovich 1999   39  0.6756  0.0038  0.0647  0.0652  0.0562  0.05
Nadelmann 1956   41  0.6643  0.0047  0.1133  0.1136  0.0742  0.09
Ohlsson 1999   51  0.6334  0.0050  0.0743  0.0736  0.0847  0.07
Olejniczac 1990   30  0.6961  0.0035  0.0746  0.0742  0.0849  0.07
Olejniczak 1991   28  0.6935  0.0027  0.0826  0.2934  0.1322  0.19
Osinska 1989   2  0.7611  0.004  0.232  0.7233  0.1114  0.28
Paderewski 1912   55  0.6053  0.0051  0.0459  0.0459  0.0464  0.04
Perahia 1994   47  0.658  0.0015  0.0929  0.2010  0.5112  0.32
Perlemuter 1986   46  0.6528  0.0043  0.0838  0.0819  0.3827  0.17
Poblocka 1999   14  0.7129  0.0018  0.0915  0.4441  0.0724  0.18
Rangell 2001   33  0.6939  0.0037  0.0742  0.0739  0.0851  0.07
Risler 1920   61  0.5662  0.0056  0.0461  0.0439  0.0952  0.06
Rosen 1989   50  0.6451  0.0053  0.0555  0.0547  0.0661  0.05
Rubinstein 1939   57  0.5944  0.0057  0.0556  0.0536  0.0854  0.06
Rubinstein 1952   34  0.6823  0.0031  0.0731  0.1433  0.0837  0.11
Rubinstein 1966   43  0.6626  0.0046  0.0837  0.0855  0.0455  0.06
Rummel 1943   60  0.5659  0.0060  0.0364  0.0351  0.0465  0.03
Shebanova 2002   5  0.744  0.013  0.243  0.716  0.651  0.68
Smith 1975   35  0.6836  0.0029  0.0928  0.2143  0.0735  0.12
Szpilman 1948   54  0.6147  0.0052  0.0552  0.0550  0.0658  0.05
Uninsky 1971   27  0.695  0.0120  0.1023  0.3152  0.0536  0.12
Wasowski 1980   15  0.719  0.0014  0.0917  0.4232  0.2611  0.33
Weissenberg 1971   11  0.7222  0.0011  0.1412  0.5039  0.0821  0.20
Average   1  0.831  0.851  0.831  0.9437  0.0816  0.27
Random 1    65  -0.0164  0.0065  0.0365  0.0310  0.3439  0.10
Random 2   64  0.0260  0.0064  0.0363  0.0320  0.3340  0.10
Random 3   66  -0.0763  0.0066  0.0166  0.0153  0.0366  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).