Shebanova 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   62  0.2970  0.0063  0.1245  0.1245  0.0761  0.09
Anderszewski 2003   69  0.2172  0.0064  0.0668  0.0650  0.0765  0.06
Ashkenazy 1981   1  0.722  0.202  0.461  0.891  0.922  0.90
Bacha 2000   46  0.3958  0.0047  0.0858  0.087  0.5944  0.22
Badura 1965   56  0.3373  0.0057  0.0665  0.0622  0.4751  0.17
Barbosa 1983   42  0.4182  0.0039  0.0840  0.357  0.6640  0.48
Biret 1990   79  0.1361  0.0084  0.0379  0.0369  0.0481  0.03
Blet 2003   31  0.4859  0.0030  0.1331  0.508  0.6528  0.57
Block 1995   20  0.5462  0.0023  0.1120  0.658  0.6923  0.67
Blumental 1952   49  0.3978  0.0042  0.0841  0.2516  0.5641  0.37
Boshniakovich 1969   29  0.5074  0.0031  0.1030  0.5314  0.5532  0.54
Brailowsky 1960   80  0.1385  0.0075  0.0571  0.0563  0.0568  0.05
Bunin 1987   41  0.4275  0.0040  0.0838  0.393  0.6738  0.51
Bunin 1987b   40  0.4356  0.0041  0.1639  0.393  0.6736  0.51
Chiu 1999   8  0.6018  0.008  0.196  0.811  0.807  0.80
Cohen 1997   66  0.2483  0.0072  0.0473  0.0471  0.0379  0.03
Cortot 1951   67  0.2284  0.0070  0.0476  0.0452  0.0577  0.04
Csalog 1996   47  0.3971  0.0048  0.0850  0.0814  0.5346  0.21
Czerny 1949   88  -0.0363  0.0089  0.0189  0.0189  0.0190  0.01
Czerny 1990   12  0.5819  0.0010  0.1810  0.761  0.896  0.82
Duchoud 2007   36  0.4635  0.0033  0.0835  0.448  0.6037  0.51
Ezaki 2006   70  0.2140  0.0071  0.0475  0.0460  0.0571  0.04
Falvay 1989   58  0.3352  0.0046  0.0859  0.0841  0.1360  0.10
Farrell 1958   73  0.1886  0.0073  0.0570  0.0569  0.0474  0.04
Ferenczy 1958   90  -0.0487  0.0088  0.0287  0.0283  0.0385  0.02
Fliere 1977   5  0.658  0.024  0.303  0.862  0.854  0.85
Fou 1978   28  0.5066  0.0027  0.1126  0.576  0.6327  0.60
Francois 1956   82  0.0955  0.0085  0.0386  0.0388  0.0289  0.02
Friedman 1923   10  0.5810  0.0214  0.1713  0.689  0.7614  0.72
Friedman 1923b   13  0.585  0.0313  0.1114  0.689  0.7613  0.72
Friedman 1930   11  0.584  0.0315  0.2416  0.6610  0.7120  0.68
Garcia 2007   38  0.4334  0.0036  0.0932  0.477  0.6531  0.55
Garcia 2007b   35  0.4731  0.0029  0.1227  0.565  0.7624  0.65
Gierzod 1998   65  0.2688  0.0062  0.0852  0.0835  0.2656  0.14
Gornostaeva 1994   75  0.1742  0.0079  0.0383  0.0380  0.0380  0.03
Groot 1988   16  0.5621  0.0020  0.1118  0.667  0.7021  0.68
Harasiewicz 1955   43  0.4153  0.0055  0.0948  0.0960  0.0564  0.07
Hatto 1993   9  0.5915  0.006  0.167  0.774  0.8010  0.78
Hatto 1997   57  0.3346  0.0053  0.0760  0.0738  0.1758  0.11
Horowitz 1949   32  0.4837  0.0035  0.0937  0.3916  0.6239  0.49
Indjic 1988   15  0.577  0.029  0.1412  0.736  0.7611  0.74
Kapell 1951   23  0.5328  0.0024  0.1122  0.626  0.6326  0.62
Kissin 1993   2  0.711  0.421  0.422  0.891  0.921  0.90
Kushner 1989   4  0.666  0.035  0.285  0.821  0.865  0.84
Luisada 1991   21  0.539  0.0211  0.2021  0.638  0.7222  0.67
Lushtak 2004   51  0.3823  0.0054  0.0763  0.0712  0.4649  0.18
Malcuzynski 1961   22  0.5343  0.0022  0.0825  0.604  0.6925  0.64
Magaloff 1978   34  0.4741  0.0037  0.0934  0.4413  0.6035  0.51
Magin 1975   24  0.5220  0.0025  0.1323  0.618  0.8017  0.70
Michalowski 1933   33  0.4717  0.0034  0.1033  0.4610  0.5833  0.52
Milkina 1970   78  0.1379  0.0068  0.0664  0.0667  0.0470  0.05
Mohovich 1999   63  0.2847  0.0065  0.0761  0.0758  0.0666  0.06
Moravec 1969   50  0.3860  0.0052  0.0856  0.0821  0.3850  0.17
Morozova 2008   25  0.5244  0.0019  0.1419  0.651  0.7119  0.68
Neighaus 1950   37  0.4430  0.0045  0.1246  0.1237  0.1854  0.15
Niedzielski 1931   17  0.5513  0.0118  0.1815  0.673  0.7316  0.70
Ohlsson 1999   27  0.5127  0.0026  0.1129  0.5414  0.5830  0.56
Osinska 1989   68  0.2164  0.0069  0.0474  0.0468  0.0472  0.04
Pachmann 1927   14  0.5729  0.0016  0.1811  0.746  0.838  0.78
Paderewski 1930   18  0.5536  0.0021  0.1417  0.663  0.7715  0.71
Perlemuter 1992   30  0.4911  0.0132  0.0836  0.4113  0.6434  0.51
Pierdomenico 2008   26  0.5149  0.0028  0.1324  0.601  0.7618  0.68
Poblocka 1999   45  0.4032  0.0038  0.1042  0.2417  0.4342  0.32
Rabcewiczowa 1932   81  0.1150  0.0086  0.0381  0.0380  0.0378  0.03
Rachmaninoff 1923   54  0.3533  0.0060  0.0854  0.0837  0.1957  0.12
Rangell 2001   53  0.3789  0.0056  0.0851  0.0826  0.3153  0.16
Richter 1976   3  0.683  0.103  0.314  0.851  0.893  0.87
Rosen 1989   39  0.4345  0.0044  0.0943  0.1827  0.4443  0.28
Rosenthal 1930   72  0.1876  0.0076  0.0477  0.0465  0.0476  0.04
Rosenthal 1931   83  0.0824  0.0078  0.0472  0.0461  0.0475  0.04
Rosenthal 1931b   84  0.0767  0.0081  0.0380  0.0373  0.0382  0.03
Rosenthal 1931c   74  0.1780  0.0074  0.0667  0.0675  0.0283  0.03
Rosenthal 1931d   86  0.0381  0.0083  0.0382  0.0384  0.0288  0.02
Rossi 2007   76  0.1468  0.0077  0.0478  0.0458  0.0573  0.04
Rubinstein 1939   71  0.2077  0.0067  0.0855  0.0854  0.0762  0.07
Rubinstein 1952   59  0.3254  0.0058  0.0669  0.0648  0.0667  0.06
Rubinstein 1966   48  0.3938  0.0043  0.0944  0.1827  0.2645  0.22
Schilhawsky 1960   61  0.2926  0.0049  0.0949  0.0918  0.4647  0.20
Shebanova 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Smith 1975   77  0.1490  0.0082  0.0384  0.0383  0.0284  0.02
Sokolov 2002   64  0.2725  0.0066  0.0666  0.0658  0.0469  0.05
Sztompka 1959   7  0.6012  0.0112  0.159  0.763  0.809  0.78
Tomsic 1995   44  0.4069  0.0051  0.0853  0.0818  0.3352  0.16
Uninsky 1932   6  0.6114  0.017  0.158  0.768  0.7212  0.74
Uninsky 1971   60  0.3151  0.0061  0.1047  0.1057  0.0563  0.07
Wasowski 1980   19  0.5416  0.0017  0.1328  0.5516  0.5829  0.56
Zak 1937   52  0.3722  0.0050  0.0857  0.0823  0.4548  0.19
Zak 1951   55  0.3457  0.0059  0.0762  0.0735  0.2755  0.14
Random 1   85  0.0748  0.0080  0.0385  0.039  0.4459  0.11
Random 2   89  -0.0465  0.0090  0.0190  0.0180  0.0386  0.02
Random 3   87  0.0139  0.0087  0.0288  0.0257  0.0387  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).