Osinska 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   8  0.8541  0.007  0.144  0.577  0.5410  0.55
Ax 1995   5  0.8611  0.0110  0.1011  0.515  0.5216  0.51
Bacha 1998   39  0.7162  0.0043  0.0737  0.078  0.4834  0.18
Barbosa 1983   51  0.6729  0.0038  0.0643  0.0630  0.1647  0.10
BenOr 1989   56  0.6216  0.0136  0.0934  0.0916  0.3535  0.18
Biret 1990   23  0.8125  0.0027  0.0827  0.309  0.5623  0.41
Brailowsky 1960   33  0.7556  0.0031  0.0731  0.203  0.5427  0.33
Chiu 1999   58  0.5951  0.0062  0.0555  0.0557  0.0464  0.04
Clidat 1994   14  0.8331  0.0023  0.1823  0.3717  0.4026  0.38
Cohen 1997   60  0.5959  0.0060  0.0456  0.0419  0.3743  0.12
Cortot 1951   64  0.4844  0.0063  0.0458  0.0411  0.4441  0.13
Csalog 1996   25  0.7832  0.0032  0.0932  0.1810  0.3931  0.26
Czerny 1989   32  0.757  0.0230  0.0830  0.2212  0.3430  0.27
Ezaki 2006   3  0.8747  0.0011  0.1312  0.504  0.644  0.57
Falvay 1989   16  0.833  0.042  0.222  0.684  0.582  0.63
Fiorentino 1962   22  0.8215  0.0124  0.2018  0.4413  0.5018  0.47
Fliere 1977   13  0.8354  0.0018  0.1224  0.359  0.5222  0.43
Fou 1978   35  0.7426  0.0042  0.0641  0.0634  0.0954  0.07
Francois 1956   61  0.5865  0.0061  0.0554  0.0549  0.0663  0.05
Goldenweiser 1946   62  0.5548  0.0064  0.0646  0.0636  0.0758  0.06
Gornostaeva 1994   59  0.5939  0.0051  0.0459  0.0430  0.1552  0.08
Groot 1988   48  0.6828  0.0040  0.0550  0.0515  0.2248  0.10
Hatto 1993   19  0.8224  0.0014  0.105  0.544  0.616  0.57
Hatto 1997   17  0.8319  0.0019  0.1210  0.515  0.598  0.55
Horszowski 1983   53  0.6557  0.0046  0.0645  0.0614  0.2940  0.13
Indjic 2001   18  0.8322  0.0020  0.188  0.524  0.607  0.56
Katin 1996   28  0.7723  0.0033  0.0833  0.1529  0.2532  0.19
Kiepura 1999   55  0.6445  0.0050  0.0460  0.0417  0.2944  0.11
Korecka 1992   40  0.7163  0.0053  0.0363  0.0314  0.4045  0.11
Kushner 1990   49  0.6843  0.0039  0.0547  0.0513  0.3837  0.14
Lilamand 2001   43  0.7061  0.0055  0.0552  0.0541  0.0562  0.05
Luisada 1990   41  0.7033  0.0037  0.0642  0.0611  0.4636  0.17
Luisada 2008   46  0.6850  0.0041  0.0548  0.0517  0.4038  0.14
Lushtak 2004   26  0.786  0.033  0.1814  0.484  0.649  0.55
Malcuzynski 1951   2  0.888  0.016  0.199  0.517  0.5812  0.54
Malcuzynski 1961   7  0.854  0.045  0.1813  0.498  0.5613  0.52
Magaloff 1977   54  0.6460  0.0057  0.0553  0.0536  0.0759  0.06
Magin 1975   21  0.8220  0.0026  0.0925  0.3515  0.4325  0.39
Meguri 1997   63  0.5238  0.0035  0.0640  0.0627  0.1449  0.09
Milkina 1970   27  0.779  0.0125  0.1326  0.3328  0.3128  0.32
Mohovich 1999   15  0.832  0.054  0.1515  0.486  0.5515  0.51
Nezu 2005   12  0.845  0.048  0.126  0.533  0.703  0.61
Ohlsson 1999   42  0.7036  0.0056  0.0549  0.0552  0.0561  0.05
Olejniczak 1990   20  0.8218  0.0115  0.1017  0.4510  0.4619  0.45
Osinska 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Perlemuter 1992   57  0.6140  0.0059  0.0362  0.0355  0.0465  0.03
Poblocka 1999   9  0.8530  0.0016  0.137  0.526  0.625  0.57
Rangell 2001   11  0.8417  0.0117  0.1019  0.437  0.6214  0.52
Richter 1960   29  0.7727  0.0021  0.1621  0.4211  0.4620  0.44
Richter 1961   34  0.7455  0.0022  0.1122  0.3713  0.4324  0.40
Rosen 1989   38  0.7346  0.0045  0.0644  0.0614  0.3339  0.14
Rubinstein 1939   36  0.7421  0.0034  0.0738  0.0732  0.1346  0.10
Rubinstein 1952   45  0.7034  0.0048  0.0835  0.0840  0.0757  0.07
Rubinstein 1966   37  0.7449  0.0044  0.0739  0.0736  0.0951  0.08
Rudanovskaya 2007   52  0.6752  0.0058  0.0457  0.0431  0.1456  0.07
Shebanova 2002   24  0.7942  0.0029  0.0828  0.2529  0.1533  0.19
Smith 1975   50  0.6758  0.0049  0.0461  0.0429  0.1750  0.08
Sztompka 1959   44  0.7014  0.0154  0.0551  0.0523  0.2742  0.12
Tanyel 1992   4  0.8712  0.0112  0.1420  0.422  0.5417  0.48
Tsujii 2005   6  0.8635  0.009  0.113  0.5821  0.3321  0.44
Uninsky 1959   31  0.7637  0.0047  0.0836  0.0836  0.0755  0.07
Vardi 1988   30  0.7713  0.0128  0.0829  0.2211  0.4829  0.32
Wasowski 1980   47  0.6853  0.0052  0.0364  0.0325  0.1853  0.07
Zimerman 1975   10  0.8510  0.0113  0.1216  0.452  0.6711  0.55
Average   1  0.911  0.621  0.611  0.862  0.731  0.79
Random 1   66  -0.1166  0.0066  0.0266  0.0259  0.0366  0.02
Random 2   65  -0.0367  0.0065  0.0365  0.0332  0.1160  0.06
Random 3   67  -0.1464  0.0067  0.0167  0.0140  0.0667  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).