Shebanova 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   17  0.8563  0.0018  0.1416  0.4025  0.2022  0.28
Ax 1995   60  0.6757  0.0060  0.0460  0.0462  0.0366  0.03
Bacha 1998   39  0.8019  0.0119  0.0926  0.1834  0.1133  0.14
Barbosa 1983   46  0.7826  0.0032  0.0531  0.1213  0.4824  0.24
BenOr 1989   6  0.8832  0.0016  0.1713  0.473  0.634  0.54
Biret 1990   25  0.8433  0.0031  0.0532  0.1235  0.0648  0.08
Brailowsky 1960   47  0.7865  0.0047  0.0935  0.0925  0.2727  0.16
Chiu 1999   44  0.7922  0.0135  0.0557  0.0512  0.3536  0.13
Clidat 1994   37  0.8040  0.0037  0.0648  0.0624  0.3435  0.14
Cohen 1997   64  0.5666  0.0064  0.0462  0.0453  0.0463  0.04
Cortot 1951   57  0.7355  0.0055  0.0643  0.0641  0.0559  0.05
Csalog 1996   21  0.8423  0.0123  0.0622  0.2612  0.4718  0.35
Czerny 1989   51  0.7514  0.0153  0.0837  0.0835  0.0649  0.07
Ezaki 2006   54  0.7410  0.0256  0.0652  0.0636  0.0752  0.06
Falvay 1989   15  0.863  0.163  0.1615  0.4611  0.4314  0.44
Fiorentino 1962   20  0.8546  0.0029  0.0629  0.1630  0.1531  0.15
Fliere 1977   16  0.8667  0.0022  0.1018  0.3317  0.3619  0.34
Fou 1978   42  0.7953  0.0025  0.0628  0.1618  0.3025  0.22
Francois 1956   62  0.6245  0.0062  0.0365  0.0363  0.0367  0.03
Goldenweiser 1946   50  0.7729  0.0042  0.0653  0.0617  0.3132  0.14
Gornostaeva 1994   33  0.8228  0.0046  0.0741  0.0730  0.1344  0.10
Groot 1988   9  0.8812  0.017  0.0914  0.4720  0.3216  0.39
Hatto 1993   7  0.8859  0.009  0.106  0.548  0.555  0.54
Hatto 1997   8  0.889  0.025  0.184  0.576  0.573  0.57
Horszowski 1983   53  0.7427  0.0034  0.0555  0.0525  0.1645  0.09
Indjic 2001   4  0.895  0.044  0.133  0.585  0.582  0.58
Katin 1996   13  0.8718  0.0117  0.179  0.499  0.518  0.50
Kiepura 1999   61  0.6339  0.0061  0.0558  0.0558  0.0360  0.04
Korecka 1992   43  0.7952  0.0050  0.0936  0.0937  0.0746  0.08
Kushner 1990   49  0.7742  0.0038  0.0647  0.0622  0.2438  0.12
Lilamand 2001   58  0.7051  0.0052  0.0646  0.0615  0.4129  0.16
Luisada 1990   30  0.8343  0.0033  0.0633  0.1141  0.0551  0.07
Luisada 2008   24  0.8449  0.0039  0.0645  0.0635  0.0850  0.07
Lushtak 2004   28  0.8341  0.0040  0.0554  0.0543  0.0557  0.05
Malcuzynski 1951   55  0.7454  0.0041  0.0556  0.0510  0.3337  0.13
Malcuzynski 1961   29  0.8315  0.0112  0.1212  0.4811  0.4312  0.45
Magaloff 1977   10  0.8825  0.0013  0.1210  0.492  0.519  0.50
Magin 1975   27  0.8331  0.0024  0.0625  0.1832  0.2026  0.19
Meguri 1997   38  0.8034  0.0049  0.0838  0.0825  0.2634  0.14
Milkina 1970   23  0.8417  0.0126  0.0624  0.1914  0.3923  0.27
Mohovich 1999   41  0.7944  0.0048  0.0740  0.0749  0.0458  0.05
Nezu 2005   40  0.7924  0.0136  0.0649  0.0629  0.1743  0.10
Ohlsson 1999   5  0.886  0.0411  0.177  0.538  0.517  0.52
Olejniczak 1990   14  0.8661  0.0020  0.0920  0.3123  0.3220  0.31
Osinska 1989   34  0.8220  0.0145  0.0642  0.0662  0.0361  0.04
Perlemuter 1992   32  0.8258  0.0043  0.0650  0.065  0.3930  0.15
Poblocka 1999   19  0.8548  0.0030  0.0827  0.1740  0.0641  0.10
Rangell 2001   48  0.7735  0.0054  0.0644  0.0629  0.1247  0.08
Richter 1960   56  0.7311  0.0158  0.0651  0.0646  0.0554  0.05
Richter 1961   63  0.6262  0.0063  0.0463  0.0454  0.0364  0.03
Rosen 1989   22  0.844  0.056  0.1017  0.396  0.4415  0.41
Rubinstein 1939   26  0.8436  0.0021  0.1021  0.3019  0.2921  0.29
Rubinstein 1952   2  0.892  0.172  0.272  0.653  0.611  0.63
Rubinstein 1966   18  0.8516  0.0128  0.0523  0.2255  0.0542  0.10
Rudanovskaya 2007   52  0.7447  0.0059  0.0461  0.0439  0.0656  0.05
Shebanova 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Smith 1975   31  0.8337  0.0014  0.1519  0.328  0.4117  0.36
Sztompka 1959   35  0.8160  0.0044  0.0739  0.0712  0.3828  0.16
Tanyel 1992   45  0.7813  0.0151  0.0934  0.0933  0.1340  0.11
Tsujii 2005   3  0.898  0.028  0.108  0.526  0.4310  0.47
Uninsky 1959   11  0.877  0.0210  0.125  0.546  0.516  0.52
Vardi 1988   59  0.6830  0.0057  0.0559  0.0547  0.0553  0.05
Wasowski 1980   12  0.8738  0.0015  0.1411  0.4910  0.4111  0.45
Zimerman 1975   36  0.8121  0.0127  0.0530  0.1233  0.1239  0.12
Average   1  0.921  0.281  0.281  0.7223  0.2813  0.45
Random 1   67  -0.1150  0.0066  0.0266  0.0246  0.0465  0.03
Random 2   66  0.0464  0.0067  0.0167  0.0126  0.2355  0.05
Random 3   65  0.1356  0.0065  0.0364  0.0339  0.0562  0.04

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).