Olejniczac 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   48  0.6445  0.0045  0.0652  0.0636  0.0948  0.07
Ashkenazy 1981   30  0.7018  0.0038  0.1133  0.1137  0.0843  0.09
Beliavsky 2004   57  0.5827  0.0058  0.0650  0.0642  0.0754  0.06
BenOr 1989   11  0.7633  0.0013  0.1613  0.5420  0.3117  0.41
Biret 1990   46  0.6534  0.0042  0.0653  0.0629  0.1740  0.10
Blet 2003   15  0.743  0.0010  0.178  0.663  0.663  0.66
Block 1995   33  0.6946  0.0031  0.1032  0.1923  0.3628  0.26
Brailowsky 1960   52  0.6113  0.0054  0.0559  0.0514  0.5333  0.16
Chiu 1999   28  0.7119  0.0024  0.0727  0.3231  0.2327  0.27
Clidat 1994   31  0.709  0.0026  0.0826  0.3519  0.3124  0.33
Cohen 1997   62  0.418  0.0062  0.0461  0.0437  0.0761  0.05
Coop 1987   5  0.8014  0.005  0.435  0.7116  0.486  0.58
Cortot 1951   61  0.4728  0.0063  0.0558  0.0558  0.0464  0.04
Czerny 1949   21  0.7322  0.0012  0.1812  0.5519  0.4014  0.47
Czerny 1949b   20  0.7355  0.0018  0.1718  0.4820  0.3916  0.43
Ezaki 2006   10  0.7756  0.0011  0.2214  0.5426  0.2918  0.40
Falvay 1989   8  0.7757  0.007  0.229  0.6017  0.4512  0.52
Ferenczy 1958   49  0.6223  0.0029  0.0930  0.246  0.6720  0.40
Fiorentino 1962   1  0.991  0.991  0.981  1.001  1.001  1.00
Fliere 1977   9  0.7729  0.009  0.267  0.679  0.555  0.61
Fou 1978   17  0.7335  0.0021  0.0725  0.3628  0.2226  0.28
Francois 1956   51  0.6210  0.0055  0.0654  0.0634  0.0759  0.06
Hatto 1997   54  0.6038  0.0052  0.0744  0.0736  0.0747  0.07
Horowitz 1971   50  0.625  0.0051  0.0557  0.0534  0.0858  0.06
Horowitz 1985   59  0.5415  0.0059  0.0645  0.0639  0.0751  0.06
Indjic 2001   53  0.6047  0.0053  0.0742  0.0758  0.0557  0.06
Kapell 1951   14  0.7424  0.0022  0.0922  0.4028  0.2823  0.33
Kiepura 1999   22  0.7358  0.0028  0.1128  0.3221  0.4322  0.37
Kilenyi 1937   7  0.7839  0.008  0.2710  0.6016  0.548  0.57
Kissin 1993   13  0.7559  0.0015  0.1517  0.4940  0.0731  0.19
Kitain 1937   63  0.3760  0.0061  0.0363  0.0352  0.0563  0.04
Kushner 1990   29  0.7125  0.0033  0.0939  0.0934  0.0941  0.09
Levy 1951   56  0.5930  0.0056  0.0462  0.0458  0.0562  0.04
Luisada 1990   12  0.7536  0.0014  0.1611  0.567  0.599  0.57
Lushtak 2004   34  0.6961  0.0037  0.1034  0.1040  0.0745  0.08
Lympany 1968   40  0.6862  0.0040  0.0648  0.0633  0.1244  0.08
Magaloff 1977   37  0.6848  0.0046  0.0649  0.0642  0.0755  0.06
Magaloff 1977b   42  0.6840  0.0049  0.0938  0.0936  0.0846  0.08
Magin 1975   4  0.8131  0.004  0.356  0.7114  0.564  0.63
Milkina 1970   45  0.6649  0.0044  0.0651  0.0637  0.0753  0.06
Mohovich 1999   35  0.694  0.0039  0.0841  0.0822  0.3435  0.16
Nadelmann 1956   44  0.6712  0.0035  0.1035  0.1031  0.1339  0.11
Ohlsson 1999   23  0.726  0.0023  0.0820  0.4119  0.3521  0.38
Olejniczac 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Olejniczak 1991   2  0.922  0.002  0.922  0.961  0.972  0.96
Osinska 1989   6  0.7841  0.006  0.214  0.7824  0.3611  0.53
Paderewski 1912   38  0.6832  0.0041  0.0647  0.0628  0.1442  0.09
Perahia 1994   60  0.4950  0.0060  0.0743  0.0739  0.0656  0.06
Perlemuter 1986   19  0.7311  0.0017  0.1716  0.5310  0.4613  0.49
Poblocka 1999   27  0.7163  0.0032  0.1031  0.1937  0.0836  0.12
Rangell 2001   41  0.6842  0.0048  0.0940  0.0942  0.0649  0.07
Risler 1920   26  0.7151  0.0025  0.0924  0.3822  0.4319  0.40
Rosen 1989   39  0.6820  0.0047  0.0646  0.0620  0.4334  0.16
Rubinstein 1939   58  0.5743  0.0043  0.0555  0.0538  0.0752  0.06
Rubinstein 1952   16  0.7321  0.0016  0.1515  0.5310  0.5510  0.54
Rubinstein 1966   43  0.6752  0.0034  0.1036  0.1020  0.3532  0.19
Rummel 1943   55  0.6016  0.0057  0.0460  0.0437  0.0660  0.05
Shebanova 2002   25  0.7237  0.0027  0.1121  0.4132  0.1130  0.21
Smith 1975   32  0.6944  0.0030  0.0829  0.2421  0.2329  0.23
Szpilman 1948   18  0.7364  0.0019  0.1019  0.4220  0.5015  0.46
Uninsky 1971   36  0.6965  0.0036  0.1037  0.1032  0.1537  0.12
Wasowski 1980   47  0.657  0.0050  0.0556  0.0539  0.0750  0.06
Weissenberg 1971   24  0.7226  0.0020  0.0823  0.3926  0.2725  0.32
Average   3  0.8617  0.003  0.753  0.9024  0.387  0.58
Random 1    65  -0.0453  0.0065  0.0265  0.0254  0.0365  0.02
Random 2   64  0.0754  0.0064  0.0364  0.035  0.5138  0.12
Random 3   66  -0.0566  0.0066  0.0166  0.0135  0.0666  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).