Osinska 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   45  0.7149  0.0048  0.0649  0.0614  0.3548  0.14
Ashkenazy 1981   6  0.8310  0.0015  0.176  0.647  0.5910  0.61
Beliavsky 2004   32  0.758  0.0125  0.1127  0.282  0.6024  0.41
BenOr 1989   9  0.8324  0.0016  0.1910  0.5613  0.5413  0.55
Biret 1990   5  0.8422  0.007  0.275  0.658  0.667  0.65
Blet 2003   46  0.7138  0.0050  0.0652  0.0628  0.1654  0.10
Block 1995   33  0.7551  0.0038  0.0651  0.0625  0.2949  0.13
Brailowsky 1960   53  0.6650  0.0054  0.0460  0.0442  0.0760  0.05
Chiu 1999   23  0.7841  0.0027  0.1020  0.4011  0.5118  0.45
Clidat 1994   39  0.7423  0.0042  0.0648  0.068  0.4844  0.17
Cohen 1997   42  0.7333  0.0044  0.0646  0.063  0.6341  0.19
Coop 1987   11  0.8136  0.0013  0.1215  0.5110  0.5714  0.54
Cortot 1951   30  0.7652  0.0036  0.1333  0.136  0.5533  0.27
Czerny 1949   16  0.8026  0.008  0.1212  0.552  0.689  0.61
Czerny 1949b   38  0.7418  0.0035  0.1134  0.118  0.5535  0.25
Ezaki 2006   3  0.8612  0.003  0.243  0.701  0.812  0.75
Falvay 1989   17  0.805  0.0123  0.1024  0.335  0.6219  0.45
Ferenczy 1958   54  0.6660  0.0056  0.0463  0.0428  0.2155  0.09
Fiorentino 1962   18  0.8056  0.0010  0.1113  0.5411  0.6211  0.58
Fliere 1977   29  0.7635  0.0034  0.1036  0.1018  0.4736  0.22
Fou 1978   25  0.7744  0.0030  0.1026  0.2818  0.4128  0.34
Francois 1956   63  0.4940  0.0063  0.0650  0.0631  0.1950  0.11
Hatto 1997   43  0.7354  0.0047  0.0937  0.0921  0.3046  0.16
Horowitz 1971   59  0.5958  0.0060  0.0559  0.0561  0.0464  0.04
Horowitz 1985   61  0.5514  0.0055  0.0462  0.0441  0.0759  0.05
Indjic 2001   34  0.7463  0.0039  0.0556  0.0529  0.1556  0.09
Kapell 1951   21  0.7925  0.0022  0.0919  0.4314  0.4023  0.41
Kiepura 1999   44  0.7227  0.0051  0.0744  0.0712  0.5138  0.19
Kilenyi 1937   35  0.7464  0.0031  0.1128  0.2423  0.4729  0.34
Kissin 1993   24  0.7739  0.0020  0.0817  0.4415  0.4222  0.43
Kitain 1937   62  0.5145  0.0061  0.0558  0.0553  0.0563  0.05
Kushner 1990   49  0.6932  0.0053  0.0741  0.0711  0.5837  0.20
Levy 1951   31  0.7621  0.0024  0.0725  0.2923  0.4127  0.34
Luisada 1990   14  0.8130  0.0021  0.0918  0.448  0.5917  0.51
Lushtak 2004   37  0.744  0.0418  0.0931  0.184  0.6530  0.34
Lympany 1968   56  0.6566  0.0058  0.0553  0.0538  0.0757  0.06
Magaloff 1977   7  0.8311  0.005  0.207  0.615  0.695  0.65
Magaloff 1977b   8  0.8316  0.006  0.188  0.615  0.696  0.65
Magin 1975   20  0.7919  0.0032  0.1129  0.2110  0.5826  0.35
Milkina 1970   36  0.7447  0.0045  0.0743  0.0715  0.3745  0.16
Mohovich 1999   22  0.7817  0.0029  0.0922  0.348  0.5621  0.44
Nadelmann 1956   41  0.7361  0.0037  0.0839  0.0817  0.3543  0.17
Ohlsson 1999   48  0.6942  0.0040  0.0557  0.0527  0.2253  0.10
Olejniczac 1990   13  0.8146  0.009  0.1011  0.5513  0.5712  0.56
Olejniczak 1991   15  0.8137  0.0011  0.1114  0.5210  0.5415  0.53
Osinska 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Paderewski 1912   52  0.6759  0.0041  0.0555  0.0518  0.4347  0.15
Perahia 1994   50  0.6815  0.0052  0.0838  0.087  0.4339  0.19
Perlemuter 1986   60  0.5653  0.0062  0.0554  0.0550  0.0662  0.05
Poblocka 1999   4  0.866  0.014  0.374  0.664  0.654  0.65
Rangell 2001   10  0.8220  0.0012  0.1116  0.5111  0.5616  0.53
Risler 1920   55  0.6531  0.0043  0.0742  0.0719  0.4242  0.17
Rosen 1989   47  0.7034  0.0049  0.0745  0.076  0.5440  0.19
Rubinstein 1939   57  0.6455  0.0057  0.0461  0.0442  0.0661  0.05
Rubinstein 1952   26  0.7713  0.0019  0.0830  0.204  0.5931  0.34
Rubinstein 1966   27  0.7728  0.0033  0.1135  0.117  0.6234  0.26
Rummel 1943   58  0.6162  0.0059  0.0647  0.0638  0.0658  0.06
Shebanova 2002   40  0.743  0.0526  0.0832  0.178  0.5332  0.30
Smith 1975   12  0.817  0.0114  0.169  0.593  0.658  0.62
Szpilman 1948   51  0.6848  0.0046  0.0740  0.0732  0.1551  0.10
Uninsky 1971   28  0.769  0.0017  0.1021  0.3910  0.5120  0.45
Wasowski 1980   19  0.7929  0.0028  0.0923  0.3416  0.4725  0.40
Weissenberg 1971   2  0.872  0.242  0.532  0.792  0.731  0.76
Average   1  0.901  0.571  0.561  0.8710  0.613  0.73
Random 1    64  0.0057  0.0064  0.0364  0.0322  0.3452  0.10
Random 2   65  0.0043  0.0065  0.0365  0.0360  0.0265  0.02
Random 3   66  -0.0865  0.0066  0.0166  0.0166  0.0166  0.01

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).