Block 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   47  0.6415  0.0052  0.0456  0.0452  0.0563  0.04
Ashkenazy 1981   15  0.7350  0.0023  0.1321  0.4334  0.0924  0.20
Beliavsky 2004   46  0.6562  0.0048  0.0650  0.0647  0.0554  0.05
BenOr 1989   4  0.795  0.014  0.342  0.7817  0.403  0.56
Biret 1990   21  0.7220  0.0024  0.1220  0.4344  0.0730  0.17
Blet 2003   26  0.716  0.0115  0.1025  0.2916  0.3616  0.32
Block 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Brailowsky 1960   43  0.6517  0.0042  0.0645  0.0617  0.4827  0.17
Chiu 1999   9  0.7618  0.008  0.218  0.5818  0.514  0.54
Clidat 1994   29  0.7059  0.0029  0.0827  0.2332  0.0831  0.14
Cohen 1997   57  0.5853  0.0059  0.0553  0.0535  0.0750  0.06
Coop 1987   2  0.792  0.112  0.303  0.6323  0.437  0.52
Cortot 1951   40  0.6610  0.0151  0.0743  0.0729  0.2236  0.12
Czerny 1949   37  0.6656  0.0037  0.1034  0.1047  0.0742  0.08
Czerny 1949b   44  0.6533  0.0038  0.1035  0.1038  0.0941  0.09
Ezaki 2006   11  0.7530  0.0011  0.1616  0.4934  0.1221  0.24
Falvay 1989   5  0.787  0.015  0.205  0.6217  0.552  0.58
Ferenczy 1958   51  0.6243  0.0055  0.0551  0.0543  0.0656  0.05
Fiorentino 1962   18  0.7314  0.0016  0.1114  0.5126  0.2911  0.38
Fliere 1977   23  0.7137  0.0026  0.0830  0.2039  0.0734  0.12
Fou 1978   13  0.7435  0.0013  0.1213  0.5230  0.2712  0.37
Francois 1956   62  0.4936  0.0062  0.0455  0.0437  0.0760  0.05
Hatto 1997   42  0.6666  0.0050  0.0552  0.0539  0.0748  0.06
Horowitz 1971   53  0.6134  0.0046  0.0458  0.0432  0.1244  0.07
Horowitz 1985   61  0.5129  0.0060  0.0460  0.0441  0.0653  0.05
Indjic 2001   38  0.6663  0.0049  0.0741  0.0739  0.0743  0.07
Kapell 1951   17  0.7358  0.0019  0.1119  0.4333  0.1022  0.21
Kiepura 1999   28  0.7128  0.0027  0.0831  0.1720  0.5019  0.29
Kilenyi 1937   27  0.7132  0.0018  0.1218  0.4441  0.0923  0.20
Kissin 1993   8  0.7612  0.0110  0.247  0.6130  0.1815  0.33
Kitain 1937   63  0.4244  0.0063  0.0647  0.0642  0.0651  0.06
Kushner 1990   56  0.5960  0.0058  0.0463  0.0455  0.0461  0.04
Levy 1951   36  0.6740  0.0032  0.0832  0.1535  0.0738  0.10
Luisada 1990   25  0.7152  0.0028  0.0726  0.2535  0.1128  0.17
Lushtak 2004   30  0.704  0.0231  0.1029  0.2132  0.1329  0.17
Lympany 1968   32  0.699  0.0133  0.0839  0.0820  0.4025  0.18
Magaloff 1977   19  0.7361  0.0021  0.1122  0.4029  0.2914  0.34
Magaloff 1977b   22  0.7227  0.0022  0.0923  0.4030  0.2418  0.31
Magin 1975   7  0.7826  0.006  0.214  0.6320  0.581  0.60
Milkina 1970   45  0.6546  0.0054  0.0461  0.0464  0.0364  0.03
Mohovich 1999   41  0.6654  0.0041  0.0837  0.0855  0.0449  0.06
Nadelmann 1956   55  0.6049  0.0057  0.0742  0.0762  0.0455  0.05
Ohlsson 1999   24  0.7138  0.0025  0.1324  0.3323  0.3017  0.31
Olejniczac 1990   16  0.7316  0.0012  0.1212  0.5427  0.359  0.43
Olejniczak 1991   14  0.7321  0.0017  0.1415  0.5030  0.2613  0.36
Osinska 1989   12  0.7442  0.0020  0.1017  0.4955  0.0626  0.17
Paderewski 1912   52  0.6255  0.0047  0.0459  0.0450  0.0657  0.05
Perahia 1994   60  0.5145  0.0061  0.0457  0.0442  0.0658  0.05
Perlemuter 1986   48  0.6423  0.0044  0.0648  0.0624  0.2535  0.12
Poblocka 1999   3  0.793  0.063  0.306  0.6119  0.456  0.52
Rangell 2001   10  0.7624  0.009  0.2211  0.5420  0.418  0.47
Risler 1920   50  0.6357  0.0034  0.0838  0.0837  0.1040  0.09
Rosen 1989   49  0.6351  0.0053  0.0462  0.0439  0.0659  0.05
Rubinstein 1939   59  0.5731  0.0045  0.0646  0.0639  0.0747  0.06
Rubinstein 1952   39  0.6613  0.0036  0.0836  0.0848  0.0552  0.06
Rubinstein 1966   54  0.6141  0.0056  0.0454  0.0444  0.0562  0.04
Rummel 1943   58  0.5825  0.0043  0.0649  0.0623  0.2733  0.13
Shebanova 2002   31  0.698  0.0130  0.0828  0.2251  0.0637  0.11
Smith 1975   35  0.6739  0.0039  0.0840  0.0857  0.0546  0.06
Szpilman 1948   33  0.6722  0.0035  0.1033  0.1034  0.0839  0.09
Uninsky 1971   20  0.7311  0.0114  0.159  0.5610  0.505  0.53
Wasowski 1980   34  0.6747  0.0040  0.0644  0.0640  0.0745  0.06
Weissenberg 1971   6  0.7819  0.007  0.2110  0.5527  0.2910  0.40
Average   1  0.841  0.681  0.671  0.9242  0.0820  0.27
Random 1    65  -0.0364  0.0065  0.0265  0.0254  0.0365  0.02
Random 2   64  0.0365  0.0064  0.0464  0.0412  0.4232  0.13
Random 3   66  -0.0548  0.0066  0.0166  0.0160  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).