Shebanova 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   46  0.3651  0.0050  0.0649  0.0616  0.3838  0.15
Ashkenazy 1981   53  0.3452  0.0054  0.0457  0.0447  0.0661  0.05
Beliavsky 2004   59  0.3164  0.0059  0.0460  0.0450  0.0657  0.05
BenOr 1989   5  0.543  0.034  0.284  0.7112  0.645  0.67
Biret 1990   27  0.4421  0.0030  0.1027  0.2711  0.4027  0.33
Blet 2003   42  0.3837  0.0045  0.0838  0.0832  0.1444  0.11
Block 1995   24  0.4535  0.0025  0.0824  0.3710  0.5123  0.43
Brailowsky 1960   31  0.4315  0.0029  0.0925  0.3029  0.2531  0.27
Chiu 1999   32  0.4346  0.0032  0.1032  0.195  0.5328  0.32
Clidat 1994   25  0.4540  0.0027  0.1128  0.2719  0.3330  0.30
Cohen 1997   56  0.3332  0.0055  0.0456  0.0414  0.4940  0.14
Coop 1987   10  0.5034  0.0015  0.1516  0.5023  0.3920  0.44
Cortot 1951   62  0.2631  0.0063  0.0553  0.0539  0.0754  0.06
Czerny 1949   15  0.4714  0.0014  0.1414  0.5213  0.5712  0.54
Czerny 1949b   18  0.4711  0.0123  0.1322  0.438  0.6313  0.52
Ezaki 2006   2  0.612  0.122  0.492  0.832  0.801  0.81
Falvay 1989   23  0.4528  0.0021  0.1218  0.4714  0.5516  0.51
Ferenczy 1958   4  0.564  0.026  0.385  0.693  0.763  0.72
Fiorentino 1962   39  0.3962  0.0039  0.0741  0.0729  0.2441  0.13
Fliere 1977   36  0.4113  0.0028  0.0731  0.216  0.5724  0.35
Fou 1978   14  0.4822  0.009  0.1211  0.5516  0.609  0.57
Francois 1956   55  0.3329  0.0056  0.0461  0.0440  0.0663  0.05
Hatto 1997   34  0.4226  0.0041  0.0837  0.0826  0.3037  0.15
Horowitz 1971   17  0.477  0.0120  0.1123  0.417  0.5519  0.47
Horowitz 1985   54  0.3443  0.0047  0.0740  0.0742  0.0848  0.07
Indjic 2001   37  0.4033  0.0042  0.0645  0.0629  0.2542  0.12
Kapell 1951   57  0.3265  0.0057  0.0555  0.0549  0.0556  0.05
Kiepura 1999   20  0.4623  0.0017  0.1115  0.5013  0.5315  0.51
Kilenyi 1937   28  0.4419  0.0010  0.1217  0.4819  0.5714  0.52
Kissin 1993   19  0.4710  0.0124  0.1126  0.2924  0.4026  0.34
Kitain 1937   60  0.3024  0.0058  0.0462  0.0443  0.0662  0.05
Kushner 1990   12  0.496  0.013  0.208  0.5912  0.588  0.58
Levy 1951   38  0.4044  0.0031  0.1230  0.2511  0.5025  0.35
Luisada 1990   49  0.3559  0.0051  0.0552  0.0526  0.2245  0.10
Lushtak 2004   11  0.4916  0.0013  0.1021  0.4315  0.4522  0.44
Lympany 1968   30  0.4350  0.0034  0.0739  0.0716  0.4934  0.19
Magaloff 1977   52  0.3563  0.0053  0.0458  0.0434  0.0658  0.05
Magaloff 1977b   58  0.3258  0.0060  0.0554  0.0546  0.0560  0.05
Magin 1975   29  0.4445  0.0033  0.1333  0.1329  0.3033  0.20
Milkina 1970   7  0.5225  0.0012  0.0913  0.5418  0.4417  0.49
Mohovich 1999   40  0.3817  0.0035  0.0934  0.0924  0.3335  0.17
Nadelmann 1956   22  0.4638  0.0019  0.1219  0.4722  0.2229  0.32
Ohlsson 1999   21  0.4641  0.0022  0.1320  0.459  0.5118  0.48
Olejniczac 1990   41  0.3853  0.0043  0.0742  0.0733  0.1247  0.09
Olejniczak 1991   45  0.3747  0.0038  0.0743  0.0729  0.1643  0.11
Osinska 1989   8  0.5130  0.008  0.119  0.5817  0.5011  0.54
Paderewski 1912   61  0.2666  0.0061  0.0650  0.0654  0.0459  0.05
Perahia 1994   6  0.535  0.017  0.136  0.636  0.636  0.63
Perlemuter 1986   33  0.4318  0.0036  0.0836  0.0840  0.0649  0.07
Poblocka 1999   3  0.568  0.015  0.243  0.773  0.732  0.75
Rangell 2001   43  0.3756  0.0052  0.0459  0.0425  0.2546  0.10
Risler 1920   47  0.3657  0.0044  0.0647  0.0614  0.4036  0.15
Rosen 1989   16  0.479  0.0118  0.127  0.6011  0.637  0.61
Rubinstein 1939   26  0.4454  0.0026  0.0829  0.2627  0.2132  0.23
Rubinstein 1952   35  0.4227  0.0037  0.0935  0.0934  0.0651  0.07
Rubinstein 1966   13  0.4839  0.0016  0.1312  0.5521  0.3521  0.44
Rummel 1943   63  0.2348  0.0062  0.0463  0.0456  0.0464  0.04
Shebanova 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Smith 1975   44  0.3761  0.0040  0.0648  0.0640  0.0652  0.06
Szpilman 1948   50  0.3520  0.0046  0.0644  0.0626  0.3439  0.14
Uninsky 1971   48  0.3549  0.0049  0.0646  0.0644  0.0653  0.06
Wasowski 1980   9  0.5012  0.0111  0.1310  0.568  0.5410  0.55
Weissenberg 1971   51  0.3542  0.0048  0.0551  0.0546  0.0655  0.05
Average   1  0.681  0.721  0.701  0.919  0.524  0.69
Random 1    66  -0.0260  0.0065  0.0265  0.0244  0.0465  0.03
Random 2   65  -0.0155  0.0066  0.0166  0.0133  0.0866  0.03
Random 3   64  0.0436  0.0064  0.0264  0.0222  0.2250  0.07

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).