Osinska 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   11  0.8717  0.019  0.088  0.373  0.488  0.42
Ax 1995   38  0.8155  0.0032  0.0529  0.095  0.4926  0.21
Bacha 1998   44  0.8139  0.0042  0.0542  0.0526  0.3637  0.13
Barbosa 1983   59  0.7527  0.0050  0.0360  0.0325  0.2251  0.08
BenOr 1989   35  0.8243  0.0048  0.0364  0.0347  0.0665  0.04
Biret 1990   10  0.8752  0.0013  0.075  0.3812  0.496  0.43
Brailowsky 1960   56  0.7764  0.0055  0.0540  0.0535  0.0756  0.06
Chiu 1999   57  0.7651  0.0060  0.0446  0.0449  0.0463  0.04
Clidat 1994   53  0.7823  0.0046  0.0452  0.0430  0.2646  0.10
Cohen 1997   63  0.6656  0.0061  0.0363  0.0319  0.4142  0.11
Cortot 1951   43  0.8158  0.0051  0.0458  0.047  0.4240  0.13
Csalog 1996   40  0.8132  0.0045  0.0362  0.0336  0.0859  0.05
Czerny 1989   46  0.8016  0.0130  0.0531  0.098  0.5224  0.22
Ezaki 2006   51  0.7936  0.0058  0.0447  0.0428  0.1453  0.07
Falvay 1989   25  0.8515  0.0129  0.0430  0.0932  0.1245  0.10
Fiorentino 1962   6  0.8812  0.0218  0.1513  0.327  0.4712  0.39
Fliere 1977   19  0.8549  0.0036  0.0448  0.0425  0.2343  0.10
Fou 1978   61  0.7450  0.0033  0.0536  0.0529  0.1547  0.09
Francois 1956   45  0.8060  0.0053  0.0455  0.044  0.4341  0.13
Goldenweiser 1946   55  0.7854  0.0039  0.0733  0.078  0.4331  0.17
Gornostaeva 1994   9  0.8729  0.0022  0.0522  0.172  0.6120  0.32
Groot 1988   21  0.8535  0.0035  0.0539  0.0534  0.0857  0.06
Hatto 1993   30  0.846  0.0525  0.0423  0.1728  0.2429  0.20
Hatto 1997   39  0.818  0.0426  0.0526  0.1623  0.2527  0.20
Horszowski 1983   42  0.8134  0.0037  0.0449  0.042  0.4635  0.14
Indjic 2001   33  0.8214  0.0227  0.0725  0.1625  0.2428  0.20
Katin 1996   31  0.8421  0.0124  0.0532  0.0832  0.1148  0.09
Kiepura 1999   58  0.7563  0.0041  0.0543  0.056  0.4634  0.15
Korecka 1992   13  0.8722  0.0120  0.0718  0.244  0.5016  0.35
Kushner 1990   32  0.8341  0.0012  0.0617  0.284  0.5411  0.39
Lilamand 2001   62  0.6737  0.0063  0.0537  0.0531  0.1849  0.09
Luisada 1990   4  0.892  0.162  0.262  0.506  0.502  0.50
Luisada 2008   20  0.8511  0.0317  0.1312  0.3315  0.3817  0.35
Lushtak 2004   2  0.9020  0.014  0.136  0.372  0.624  0.48
Malcuzynski 1951   47  0.8019  0.018  0.0815  0.322  0.559  0.42
Malcuzynski 1961   17  0.8513  0.0215  0.117  0.375  0.487  0.42
Magaloff 1977   41  0.8157  0.0043  0.0544  0.0531  0.1055  0.07
Magin 1975   14  0.8624  0.0028  0.0527  0.1220  0.3130  0.19
Meguri 1997   52  0.7931  0.0034  0.0634  0.067  0.4232  0.16
Milkina 1970   26  0.8426  0.0031  0.0528  0.118  0.4225  0.21
Mohovich 1999   8  0.874  0.066  0.124  0.394  0.633  0.50
Nezu 2005   24  0.855  0.0521  0.0620  0.215  0.5019  0.32
Ohlsson 1999   22  0.8518  0.0140  0.0541  0.0547  0.0558  0.05
Olejniczak 1990   15  0.8653  0.0023  0.0521  0.1814  0.4122  0.27
Osinska 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Perlemuter 1992   28  0.8448  0.0054  0.0535  0.0521  0.2044  0.10
Poblocka 1999   5  0.8842  0.0014  0.0911  0.349  0.4410  0.39
Rangell 2001   49  0.7945  0.0057  0.0445  0.046  0.4539  0.13
Richter 1960   23  0.8544  0.0019  0.0724  0.1712  0.4421  0.27
Richter 1961   60  0.7438  0.0047  0.0454  0.0415  0.4336  0.13
Rosen 1989   29  0.843  0.107  0.1410  0.348  0.4214  0.38
Rubinstein 1939   18  0.8533  0.0016  0.1316  0.3016  0.3418  0.32
Rubinstein 1952   12  0.8747  0.005  0.1314  0.326  0.4515  0.38
Rubinstein 1966   1  0.911  0.201  0.201  0.564  0.551  0.55
Rudanovskaya 2007   54  0.7840  0.0062  0.0451  0.0433  0.0761  0.05
Shebanova 2002   37  0.8225  0.0049  0.0361  0.0341  0.0760  0.05
Smith 1975   50  0.7961  0.0059  0.0450  0.0459  0.0464  0.04
Sztompka 1959   36  0.8259  0.0056  0.0456  0.0429  0.1154  0.07
Tanyel 1992   27  0.8446  0.0038  0.0538  0.057  0.5033  0.16
Tsujii 2005   7  0.877  0.0410  0.079  0.369  0.4013  0.38
Uninsky 1959   16  0.869  0.0411  0.0619  0.2322  0.2923  0.26
Vardi 1988   48  0.8030  0.0052  0.0453  0.0412  0.4338  0.13
Wasowski 1980   3  0.9010  0.033  0.213  0.415  0.485  0.44
Zimerman 1975   34  0.8228  0.0044  0.0457  0.0426  0.1652  0.08
Random 1   66  -0.0666  0.0065  0.0265  0.0226  0.1162  0.05
Random 2   65  -0.0362  0.0066  0.0166  0.0160  0.0366  0.02
Random 3   64  0.1865  0.0064  0.0459  0.0420  0.2250  0.09

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).