Olejniczak 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   30  0.846  0.088  0.109  0.4616  0.3313  0.39
Ax 1995   47  0.7954  0.0040  0.0551  0.0514  0.2834  0.12
Bacha 1998   51  0.7758  0.0044  0.0546  0.0544  0.0551  0.05
Barbosa 1983   56  0.7320  0.0141  0.0543  0.0533  0.0944  0.07
BenOr 1989   3  0.907  0.083  0.123  0.551  0.641  0.59
Biret 1990   6  0.889  0.067  0.1010  0.4620  0.3015  0.37
Brailowsky 1960   49  0.7764  0.0054  0.0363  0.0336  0.0657  0.04
Chiu 1999   20  0.8655  0.0024  0.0927  0.221  0.5417  0.34
Clidat 1994   50  0.7735  0.0043  0.0453  0.0434  0.1047  0.06
Cohen 1997   60  0.7056  0.0055  0.0364  0.0315  0.4440  0.11
Cortot 1951   52  0.7649  0.0057  0.0460  0.0460  0.0365  0.03
Csalog 1996   11  0.8821  0.0112  0.104  0.523  0.563  0.54
Czerny 1989   44  0.7928  0.0136  0.0542  0.0527  0.2537  0.11
Ezaki 2006   40  0.8160  0.0053  0.0541  0.0524  0.2335  0.11
Falvay 1989   22  0.8529  0.0042  0.0452  0.0449  0.0558  0.04
Fiorentino 1962   10  0.8837  0.0029  0.0831  0.1425  0.2127  0.17
Fliere 1977   5  0.8914  0.0218  0.0920  0.3215  0.3616  0.34
Fou 1978   41  0.8110  0.039  0.1011  0.431  0.545  0.48
Francois 1956   61  0.7050  0.0063  0.0549  0.0548  0.0556  0.05
Goldenweiser 1946   54  0.7627  0.0126  0.0826  0.245  0.4419  0.32
Gornostaeva 1994   38  0.8242  0.0037  0.0637  0.0614  0.3728  0.15
Groot 1988   2  0.912  0.094  0.141  0.568  0.426  0.48
Hatto 1993   26  0.8422  0.0132  0.0732  0.1435  0.0741  0.10
Hatto 1997   34  0.8330  0.0030  0.0828  0.1736  0.0739  0.11
Horszowski 1983   46  0.7915  0.0120  0.0824  0.289  0.2823  0.28
Indjic 2001   29  0.8438  0.0033  0.0833  0.0839  0.0745  0.07
Katin 1996   24  0.8526  0.0134  0.0635  0.0651  0.0553  0.05
Kiepura 1999   63  0.6447  0.0061  0.0362  0.0347  0.0462  0.03
Korecka 1992   53  0.7661  0.0058  0.0454  0.0451  0.0559  0.04
Kushner 1990   57  0.7245  0.0047  0.0638  0.0633  0.0843  0.07
Lilamand 2001   55  0.7434  0.0051  0.0456  0.048  0.4531  0.13
Luisada 1990   14  0.873  0.092  0.132  0.5514  0.397  0.46
Luisada 2008   19  0.8623  0.0121  0.1016  0.3722  0.2421  0.30
Lushtak 2004   4  0.895  0.085  0.135  0.495  0.584  0.53
Malcuzynski 1951   62  0.6557  0.0046  0.0734  0.0739  0.0548  0.06
Malcuzynski 1961   45  0.7944  0.0013  0.0917  0.3349  0.0530  0.13
Magaloff 1977   7  0.8825  0.0123  0.0919  0.3219  0.2722  0.29
Magin 1975   25  0.858  0.0710  0.1021  0.3215  0.3418  0.33
Meguri 1997   18  0.8653  0.0022  0.0923  0.285  0.5114  0.38
Milkina 1970   42  0.8052  0.0052  0.0550  0.0547  0.0552  0.05
Mohovich 1999   21  0.8512  0.0217  0.1018  0.3212  0.5211  0.41
Nezu 2005   23  0.8513  0.0215  0.1012  0.439  0.4510  0.44
Ohlsson 1999   28  0.8419  0.0135  0.0539  0.0545  0.0654  0.05
Olejniczak 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Osinska 1989   17  0.8611  0.0216  0.1014  0.4121  0.1824  0.27
Perlemuter 1992   37  0.8236  0.0049  0.0545  0.0517  0.2336  0.11
Poblocka 1999   12  0.8743  0.0028  0.0825  0.2441  0.0632  0.12
Rangell 2001   31  0.8451  0.0050  0.0540  0.059  0.4229  0.14
Richter 1960   48  0.7717  0.0159  0.0457  0.0453  0.0461  0.04
Richter 1961   59  0.7218  0.0162  0.0455  0.0440  0.0649  0.05
Rosen 1989   8  0.881  0.101  0.098  0.474  0.468  0.46
Rubinstein 1939   43  0.8040  0.0039  0.0547  0.0546  0.0650  0.05
Rubinstein 1952   39  0.8265  0.0027  0.0829  0.1641  0.0642  0.10
Rubinstein 1966   9  0.8831  0.0019  0.0815  0.3830  0.1226  0.21
Rudanovskaya 2007   36  0.8241  0.0056  0.0458  0.0420  0.3533  0.12
Shebanova 2002   15  0.8659  0.0025  0.1122  0.3219  0.3120  0.31
Smith 1975   16  0.8639  0.0031  0.0830  0.158  0.3725  0.24
Sztompka 1959   27  0.8432  0.0045  0.0548  0.0519  0.2638  0.11
Tanyel 1992   13  0.8724  0.0114  0.097  0.483  0.622  0.55
Tsujii 2005   1  0.914  0.086  0.156  0.4910  0.399  0.44
Uninsky 1959   32  0.8346  0.0038  0.0636  0.0642  0.0646  0.06
Vardi 1988   58  0.7248  0.0060  0.0459  0.0451  0.0560  0.04
Wasowski 1980   35  0.8316  0.0111  0.1013  0.4111  0.3812  0.39
Zimerman 1975   33  0.8333  0.0048  0.0544  0.0540  0.0555  0.05
Random 1   66  -0.1563  0.0065  0.0265  0.0262  0.0366  0.02
Random 2   65  0.0262  0.0066  0.0166  0.0136  0.0763  0.03
Random 3   64  0.0766  0.0064  0.0361  0.0349  0.0464  0.03

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).