Shebanova 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   52  0.4138  0.0053  0.0558  0.0531  0.2646  0.11
Anderszewski 2003   48  0.4241  0.0046  0.0746  0.0753  0.0662  0.06
Ashkenazy 1981   20  0.4847  0.0032  0.0923  0.355  0.5511  0.44
Bacha 2000   74  0.3179  0.0080  0.0386  0.0378  0.0381  0.03
Badura 1965   66  0.3588  0.0061  0.0651  0.0642  0.1255  0.08
Barbosa 1983   29  0.4663  0.0041  0.0637  0.2047  0.0841  0.13
Biret 1990   16  0.5026  0.0012  0.1311  0.5633  0.3412  0.44
Blet 2003   83  0.2566  0.0084  0.0384  0.0368  0.0384  0.03
Block 1995   44  0.4337  0.0026  0.0722  0.4121  0.4513  0.43
Blumental 1952   33  0.4611  0.0234  0.0731  0.2742  0.1436  0.19
Boshniakovich 1969   49  0.4164  0.0057  0.0554  0.0580  0.0377  0.04
Brailowsky 1960   61  0.3843  0.0059  0.0468  0.0455  0.0663  0.05
Bunin 1987   42  0.4313  0.0129  0.0827  0.3214  0.4121  0.36
Bunin 1987b   57  0.4075  0.0035  0.0736  0.2119  0.4030  0.29
Chiu 1999   22  0.4815  0.0130  0.0828  0.314  0.5214  0.40
Cohen 1997   70  0.3476  0.0076  0.0476  0.0451  0.0578  0.04
Cortot 1951   75  0.3149  0.0078  0.0559  0.0536  0.2547  0.11
Csalog 1996   60  0.3985  0.0055  0.0553  0.0559  0.0565  0.05
Czerny 1949   50  0.4133  0.0066  0.0473  0.0469  0.0475  0.04
Czerny 1990   11  0.5116  0.0125  0.0730  0.2944  0.1535  0.21
Duchoud 2007   45  0.4327  0.0027  0.0726  0.334  0.6610  0.47
Ezaki 2006   32  0.4645  0.0039  0.0543  0.1462  0.0552  0.08
Falvay 1989   2  0.602  0.143  0.304  0.6523  0.532  0.59
Farrell 1958   54  0.4035  0.0054  0.0556  0.0553  0.0564  0.05
Ferenczy 1958   51  0.4169  0.0051  0.0466  0.0427  0.4242  0.13
Fliere 1977   10  0.5134  0.0011  0.1212  0.5138  0.2620  0.36
Fou 1978   62  0.3867  0.0069  0.0479  0.0480  0.0382  0.03
Francois 1956   65  0.3739  0.0062  0.0561  0.0540  0.1948  0.10
Friedman 1923   73  0.3251  0.0065  0.0469  0.0434  0.2749  0.10
Friedman 1923b   78  0.3086  0.0064  0.0557  0.0534  0.2744  0.12
Friedman 1930   27  0.4731  0.0016  0.1013  0.516  0.683  0.59
Garcia 2007   79  0.2980  0.0072  0.0467  0.0446  0.0666  0.05
Garcia 2007b   59  0.3950  0.0058  0.0555  0.0552  0.0667  0.05
Gierzod 1998   5  0.5517  0.019  0.157  0.6039  0.2717  0.40
Gornostaeva 1994   40  0.4470  0.0047  0.0747  0.0746  0.0860  0.07
Groot 1988   43  0.435  0.0310  0.1218  0.4322  0.3219  0.37
Harasiewicz 1955   31  0.4648  0.0045  0.0644  0.1260  0.0556  0.08
Hatto 1993   15  0.5059  0.005  0.126  0.6115  0.517  0.56
Hatto 1997   18  0.4928  0.007  0.129  0.5721  0.458  0.51
Horowitz 1949   76  0.3071  0.0073  0.0748  0.0722  0.3637  0.16
Indjic 1988   14  0.5023  0.016  0.215  0.6219  0.506  0.56
Kapell 1951   69  0.3572  0.0077  0.0471  0.0479  0.0383  0.03
Kissin 1993   21  0.4812  0.0122  0.0729  0.3040  0.3128  0.30
Kushner 1989   4  0.5619  0.0113  0.148  0.5841  0.2618  0.39
Luisada 1991   53  0.4122  0.0152  0.0463  0.0441  0.1853  0.08
Lushtak 2004   3  0.563  0.112  0.232  0.6810  0.581  0.63
Malcuzynski 1961   36  0.4524  0.0137  0.0634  0.2562  0.0545  0.11
Magaloff 1978   13  0.519  0.0219  0.1019  0.4326  0.3715  0.40
Magin 1975   34  0.4581  0.0033  0.0735  0.2548  0.0840  0.14
Michalowski 1933   87  0.1182  0.0087  0.0388  0.0378  0.0289  0.02
Milkina 1970   24  0.4760  0.0043  0.0741  0.1669  0.0551  0.09
Mohovich 1999   26  0.4714  0.0120  0.1017  0.4437  0.2129  0.30
Moravec 1969   30  0.4653  0.0048  0.0649  0.0654  0.0761  0.06
Morozova 2008   41  0.448  0.0238  0.0642  0.1544  0.1043  0.12
Neighaus 1950   47  0.4365  0.0049  0.0650  0.0616  0.4438  0.16
Niedzielski 1931   82  0.2652  0.0074  0.0560  0.0542  0.1158  0.07
Ohlsson 1999   19  0.4929  0.0021  0.1015  0.4715  0.499  0.48
Osinska 1989   6  0.546  0.024  0.213  0.6729  0.484  0.57
Pachmann 1927   84  0.2556  0.0083  0.0383  0.0359  0.0573  0.04
Paderewski 1930   88  0.0989  0.0088  0.0385  0.0386  0.0288  0.02
Perlemuter 1992   56  0.4018  0.0128  0.0838  0.209  0.5024  0.32
Pierdomenico 2008   63  0.3768  0.0068  0.0470  0.0440  0.2050  0.09
Poblocka 1999   12  0.5140  0.0031  0.1025  0.3345  0.1432  0.21
Rabcewiczowa 1932   37  0.4557  0.0018  0.0920  0.4130  0.2922  0.34
Rachmaninoff 1923   72  0.3261  0.0044  0.0645  0.1267  0.0457  0.07
Rangell 2001   23  0.4732  0.0023  0.0633  0.2625  0.4026  0.32
Richter 1976   58  0.3942  0.0067  0.0465  0.0460  0.0472  0.04
Rosen 1989   9  0.524  0.038  0.1410  0.5711  0.585  0.57
Rosenthal 1930   81  0.2658  0.0082  0.0481  0.0463  0.0476  0.04
Rosenthal 1931   85  0.2373  0.0086  0.0477  0.0465  0.0474  0.04
Rosenthal 1931b   80  0.2783  0.0081  0.0478  0.0475  0.0479  0.04
Rosenthal 1931c   68  0.3584  0.0063  0.0472  0.0461  0.0580  0.04
Rosenthal 1931d   86  0.2390  0.0085  0.0387  0.0381  0.0387  0.03
Rossi 2007   71  0.3244  0.0079  0.0382  0.0362  0.0569  0.04
Rubinstein 1939   55  0.4021  0.0160  0.0475  0.0468  0.0471  0.04
Rubinstein 1952   8  0.5210  0.0215  0.0916  0.4637  0.2227  0.32
Rubinstein 1966   7  0.5325  0.0014  0.0814  0.5144  0.2223  0.33
Schilhawsky 1960   39  0.4430  0.0050  0.0474  0.0442  0.1854  0.08
Shebanova 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Smith 1975   67  0.3587  0.0070  0.0464  0.0463  0.0570  0.04
Sokolov 2002   64  0.3746  0.0071  0.0562  0.0568  0.0368  0.04
Sztompka 1959   46  0.4377  0.0056  0.0552  0.0544  0.1159  0.07
Tomsic 1995   38  0.4462  0.0040  0.0540  0.1730  0.2633  0.21
Uninsky 1932   77  0.3054  0.0075  0.0480  0.0472  0.0385  0.03
Uninsky 1971   25  0.477  0.0236  0.0632  0.2743  0.1634  0.21
Wasowski 1980   35  0.4520  0.0142  0.0739  0.1944  0.1239  0.15
Zak 1937   17  0.4936  0.0017  0.0921  0.4128  0.4016  0.40
Zak 1951   28  0.4655  0.0024  0.0924  0.3429  0.3125  0.32
Average   1  0.651  0.421  0.421  0.8050  0.0831  0.25
Random 1   91  -0.1574  0.0091  0.0191  0.0183  0.0290  0.01
Random 2   89  0.0178  0.0089  0.0289  0.0254  0.0486  0.03
Random 3   90  -0.1391  0.0090  0.0190  0.0183  0.0291  0.01

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).