Shebanova 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   63  0.2969  0.0064  0.1246  0.1246  0.0762  0.09
Anderszewski 2003   70  0.2171  0.0065  0.0669  0.0651  0.0766  0.06
Ashkenazy 1981   1  0.722  0.202  0.402  0.891  0.922  0.90
Bacha 2000   47  0.3959  0.0048  0.0859  0.088  0.5945  0.22
Badura 1965   57  0.3372  0.0058  0.0666  0.0623  0.4752  0.17
Barbosa 1983   43  0.4183  0.0040  0.0841  0.358  0.6641  0.48
Biret 1990   80  0.1362  0.0085  0.0380  0.0370  0.0482  0.03
Blet 2003   32  0.4860  0.0031  0.1332  0.509  0.6529  0.57
Block 1995   21  0.5473  0.0024  0.1121  0.659  0.6924  0.67
Blumental 1952   50  0.3978  0.0043  0.0842  0.2517  0.5642  0.37
Boshniakovich 1969   30  0.5074  0.0032  0.1031  0.5315  0.5533  0.54
Brailowsky 1960   81  0.1386  0.0076  0.0572  0.0564  0.0569  0.05
Bunin 1987   42  0.4275  0.0041  0.0839  0.394  0.6739  0.51
Bunin 1987b   41  0.4357  0.0042  0.1640  0.394  0.6737  0.51
Chiu 1999   9  0.6019  0.009  0.197  0.812  0.808  0.80
Cohen 1997   67  0.2484  0.0073  0.0474  0.0472  0.0380  0.03
Cortot 1951   68  0.2285  0.0071  0.0477  0.0453  0.0578  0.04
Csalog 1996   48  0.3970  0.0049  0.0851  0.0815  0.5347  0.21
Czerny 1949   89  -0.0363  0.0090  0.0190  0.0190  0.0191  0.01
Czerny 1990   13  0.5820  0.0011  0.1711  0.761  0.896  0.82
Duchoud 2007   37  0.4635  0.0034  0.0836  0.449  0.6038  0.51
Ezaki 2006   71  0.2146  0.0072  0.0476  0.0461  0.0572  0.04
Falvay 1989   59  0.3352  0.0047  0.0860  0.0842  0.1361  0.10
Farrell 1958   74  0.1887  0.0074  0.0571  0.0570  0.0475  0.04
Ferenczy 1958   91  -0.0488  0.0089  0.0288  0.0284  0.0386  0.02
Fliere 1977   6  0.659  0.025  0.304  0.863  0.854  0.85
Fou 1978   29  0.5076  0.0028  0.1127  0.577  0.6328  0.60
Francois 1956   83  0.0955  0.0086  0.0387  0.0389  0.0290  0.02
Friedman 1923   11  0.5811  0.0215  0.1714  0.6810  0.7615  0.72
Friedman 1923b   14  0.586  0.0314  0.1115  0.6810  0.7614  0.72
Friedman 1930   12  0.585  0.0316  0.2317  0.6611  0.7121  0.68
Garcia 2007   39  0.4334  0.0037  0.0933  0.478  0.6532  0.55
Garcia 2007b   36  0.4739  0.0030  0.1228  0.565  0.7625  0.65
Gierzod 1998   66  0.2689  0.0063  0.0853  0.0836  0.2656  0.14
Gornostaeva 1994   76  0.1741  0.0080  0.0384  0.0381  0.0381  0.03
Groot 1988   17  0.5622  0.0021  0.1119  0.668  0.7022  0.68
Harasiewicz 1955   44  0.4156  0.0056  0.0949  0.0961  0.0565  0.07
Hatto 1993   10  0.5915  0.007  0.168  0.775  0.8011  0.78
Hatto 1997   58  0.3347  0.0054  0.0761  0.0739  0.1760  0.11
Horowitz 1949   33  0.4837  0.0036  0.0938  0.3917  0.6240  0.49
Indjic 1988   16  0.578  0.0210  0.1413  0.737  0.7612  0.74
Kapell 1951   24  0.5327  0.0025  0.1123  0.627  0.6327  0.62
Kissin 1993   3  0.711  0.401  0.393  0.891  0.921  0.90
Kushner 1989   5  0.667  0.026  0.286  0.821  0.865  0.84
Luisada 1991   22  0.5310  0.0212  0.2022  0.639  0.7223  0.67
Lushtak 2004   52  0.3824  0.0055  0.0764  0.0713  0.4650  0.18
Malcuzynski 1961   23  0.5342  0.0023  0.0826  0.605  0.6926  0.64
Magaloff 1978   35  0.4743  0.0038  0.0935  0.4414  0.6036  0.51
Magin 1975   25  0.5221  0.0026  0.1324  0.618  0.8018  0.70
Michalowski 1933   34  0.4717  0.0035  0.1034  0.4611  0.5834  0.52
Milkina 1970   79  0.1379  0.0069  0.0665  0.0668  0.0471  0.05
Mohovich 1999   64  0.2848  0.0066  0.0762  0.0759  0.0667  0.06
Moravec 1969   51  0.3861  0.0053  0.0857  0.0822  0.3851  0.17
Morozova 2008   26  0.5244  0.0020  0.1320  0.652  0.7120  0.68
Neighaus 1950   38  0.4432  0.0046  0.1147  0.1138  0.1857  0.14
Niedzielski 1931   18  0.5514  0.0119  0.1816  0.674  0.7317  0.70
Ohlsson 1999   28  0.5128  0.0027  0.1130  0.5415  0.5831  0.56
Osinska 1989   69  0.2164  0.0070  0.0475  0.0469  0.0473  0.04
Pachmann 1927   15  0.5729  0.0017  0.1812  0.747  0.839  0.78
Paderewski 1930   19  0.5536  0.0022  0.1418  0.664  0.7716  0.71
Perlemuter 1992   31  0.4912  0.0133  0.0837  0.4114  0.6435  0.51
Pierdomenico 2008   27  0.5150  0.0029  0.1325  0.601  0.7619  0.68
Poblocka 1999   46  0.4031  0.0039  0.1043  0.2418  0.4343  0.32
Rabcewiczowa 1932   82  0.1151  0.0087  0.0382  0.0381  0.0379  0.03
Rachmaninoff 1923   55  0.3533  0.0061  0.0855  0.0838  0.1958  0.12
Rangell 2001   54  0.3790  0.0057  0.0852  0.0827  0.3154  0.16
Richter 1976   4  0.684  0.074  0.315  0.851  0.893  0.87
Rosen 1989   40  0.4345  0.0045  0.0944  0.1828  0.4444  0.28
Rosenthal 1930   73  0.1880  0.0077  0.0478  0.0466  0.0477  0.04
Rosenthal 1931   84  0.0830  0.0079  0.0473  0.0462  0.0476  0.04
Rosenthal 1931b   85  0.0766  0.0082  0.0381  0.0374  0.0383  0.03
Rosenthal 1931c   75  0.1781  0.0075  0.0668  0.0676  0.0284  0.03
Rosenthal 1931d   87  0.0382  0.0084  0.0383  0.0385  0.0289  0.02
Rossi 2007   77  0.1467  0.0078  0.0479  0.0459  0.0574  0.04
Rubinstein 1939   72  0.2077  0.0068  0.0856  0.0855  0.0763  0.07
Rubinstein 1952   60  0.3253  0.0059  0.0670  0.0649  0.0668  0.06
Rubinstein 1966   49  0.3940  0.0044  0.0945  0.1828  0.2646  0.22
Schilhawsky 1960   62  0.2926  0.0050  0.0950  0.0919  0.4648  0.20
Shebanova 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Smith 1975   78  0.1491  0.0083  0.0385  0.0384  0.0285  0.02
Sokolov 2002   65  0.2725  0.0067  0.0667  0.0659  0.0470  0.05
Sztompka 1959   8  0.6013  0.0113  0.1510  0.764  0.8010  0.78
Tomsic 1995   45  0.4068  0.0052  0.0854  0.0819  0.3353  0.16
Uninsky 1932   7  0.6118  0.008  0.159  0.769  0.7213  0.74
Uninsky 1971   61  0.3154  0.0062  0.1048  0.1058  0.0564  0.07
Wasowski 1980   20  0.5416  0.0018  0.1329  0.5517  0.5830  0.56
Zak 1937   53  0.3723  0.0051  0.0858  0.0824  0.4549  0.19
Zak 1951   56  0.3458  0.0060  0.0763  0.0736  0.2755  0.14
Average   2  0.723  0.083  0.431  0.904  0.737  0.81
Random 1   86  0.0749  0.0081  0.0386  0.039  0.4559  0.12
Random 2   90  -0.0465  0.0091  0.0191  0.0181  0.0387  0.02
Random 3   88  0.0138  0.0088  0.0289  0.0257  0.0388  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).