Osinska 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   55  0.4061  0.0054  0.0457  0.0412  0.4745  0.14
Ashkenazy 1981   31  0.4629  0.0035  0.0836  0.0811  0.5737  0.21
Beliavsky 2004   63  0.2362  0.0063  0.0554  0.0539  0.0859  0.06
BenOr 1989   2  0.692  0.072  0.632  0.843  0.832  0.83
Biret 1990   18  0.5232  0.0022  0.1119  0.494  0.6718  0.57
Blet 2003   21  0.5116  0.0025  0.0925  0.3911  0.6325  0.50
Block 1995   15  0.5322  0.0029  0.1427  0.372  0.6327  0.48
Brailowsky 1960   8  0.5815  0.005  0.1310  0.647  0.709  0.67
Chiu 1999   37  0.4535  0.0038  0.0743  0.074  0.5738  0.20
Clidat 1994   47  0.4257  0.0055  0.0741  0.0743  0.0660  0.06
Cohen 1997   61  0.3241  0.0061  0.0461  0.0421  0.3152  0.11
Coop 1987   17  0.5313  0.0028  0.1128  0.3720  0.4231  0.39
Cortot 1951   57  0.3627  0.0060  0.0363  0.0317  0.4751  0.12
Czerny 1949   27  0.4840  0.0018  0.1115  0.519  0.6219  0.56
Czerny 1949b   44  0.4344  0.0034  0.0739  0.0716  0.5139  0.19
Ezaki 2006   7  0.584  0.014  0.197  0.665  0.688  0.67
Falvay 1989   6  0.5923  0.0010  0.179  0.662  0.805  0.73
Ferenczy 1958   25  0.5028  0.0015  0.2214  0.5513  0.6315  0.59
Fiorentino 1962   26  0.5058  0.0027  0.1124  0.396  0.7122  0.53
Fliere 1977   32  0.4634  0.0032  0.0832  0.162  0.6532  0.32
Fou 1978   12  0.559  0.018  0.1812  0.615  0.6912  0.65
Francois 1956   34  0.4637  0.0042  0.0837  0.084  0.6534  0.23
Hatto 1997   50  0.4153  0.0052  0.0646  0.0638  0.0857  0.07
Horowitz 1971   54  0.4039  0.0044  0.0650  0.0634  0.0958  0.07
Horowitz 1985   43  0.4336  0.0031  0.1331  0.266  0.6030  0.39
Indjic 2001   48  0.4151  0.0051  0.0458  0.0434  0.1063  0.06
Kapell 1951   23  0.517  0.0130  0.1330  0.323  0.7028  0.47
Kiepura 1999   19  0.5231  0.0026  0.1022  0.437  0.6323  0.52
Kilenyi 1937   35  0.4655  0.0020  0.0823  0.4114  0.6026  0.50
Kissin 1993   51  0.4142  0.0056  0.0555  0.0539  0.1056  0.07
Kitain 1937   62  0.2943  0.0059  0.0362  0.0340  0.0865  0.05
Kushner 1990   3  0.6112  0.006  0.165  0.703  0.853  0.77
Levy 1951   38  0.4519  0.0021  0.0826  0.384  0.6524  0.50
Luisada 1990   49  0.4125  0.0053  0.0556  0.0521  0.4046  0.14
Lushtak 2004   40  0.4426  0.0048  0.0459  0.0427  0.1954  0.09
Lympany 1968   46  0.4249  0.0050  0.0649  0.0628  0.2349  0.12
Magaloff 1977   56  0.3946  0.0047  0.0553  0.059  0.4344  0.15
Magaloff 1977b   53  0.4045  0.0039  0.0838  0.085  0.5336  0.21
Magin 1975   10  0.5821  0.0013  0.1711  0.623  0.7011  0.66
Milkina 1970   13  0.5514  0.0012  0.2018  0.5011  0.5721  0.53
Mohovich 1999   33  0.4652  0.0040  0.0934  0.0912  0.5635  0.22
Nadelmann 1956   14  0.5420  0.0014  0.2613  0.574  0.6414  0.60
Ohlsson 1999   28  0.4850  0.0033  0.1033  0.108  0.5233  0.23
Olejniczac 1990   20  0.5224  0.0016  0.1016  0.515  0.7813  0.63
Olejniczak 1991   16  0.5317  0.0019  0.0921  0.435  0.7517  0.57
Osinska 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Paderewski 1912   58  0.3559  0.0057  0.0552  0.0537  0.0761  0.06
Perahia 1994   52  0.4054  0.0046  0.0551  0.0538  0.0862  0.06
Perlemuter 1986   4  0.605  0.0111  0.203  0.732  0.794  0.76
Poblocka 1999   29  0.4847  0.0017  0.0929  0.3610  0.5429  0.44
Rangell 2001   39  0.4438  0.0049  0.0647  0.0615  0.5140  0.17
Risler 1920   60  0.3448  0.0058  0.0740  0.0723  0.2447  0.13
Rosen 1989   9  0.583  0.033  0.278  0.664  0.6810  0.67
Rubinstein 1939   41  0.448  0.0137  0.0648  0.0630  0.1653  0.10
Rubinstein 1952   11  0.5711  0.009  0.196  0.694  0.776  0.73
Rubinstein 1966   5  0.606  0.017  0.154  0.725  0.727  0.72
Rummel 1943   59  0.3463  0.0062  0.0460  0.0436  0.0664  0.05
Shebanova 2002   22  0.5130  0.0023  0.1317  0.509  0.5820  0.54
Smith 1975   36  0.4610  0.0041  0.0935  0.0920  0.2642  0.15
Szpilman 1948   24  0.5033  0.0024  0.1420  0.476  0.7116  0.58
Uninsky 1971   42  0.4464  0.0043  0.0644  0.0622  0.3743  0.15
Wasowski 1980   30  0.4656  0.0036  0.0742  0.0718  0.3741  0.16
Weissenberg 1971   45  0.4318  0.0045  0.0645  0.0623  0.2748  0.13
Average   1  0.781  0.801  0.791  0.941  0.831  0.88
Random 1    64  0.0560  0.0064  0.0364  0.034  0.4850  0.12
Random 2   66  -0.0365  0.0066  0.0166  0.0155  0.0466  0.02
Random 3   65  0.0566  0.0065  0.0265  0.0211  0.3455  0.08

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).