Shebanova 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   32  0.6370  0.0041  0.0441  0.1149  0.0550  0.07
Anderszewski 2003   76  0.3679  0.0067  0.0370  0.0380  0.0286  0.02
Ashkenazy 1981   5  0.7313  0.0110  0.124  0.5420  0.3512  0.43
Bacha 2000   12  0.6959  0.0020  0.1115  0.475  0.528  0.49
Badura 1965   55  0.4975  0.0046  0.0650  0.0641  0.1340  0.09
Barbosa 1983   44  0.5521  0.0133  0.1129  0.2628  0.3225  0.29
Biret 1990   16  0.6953  0.0018  0.1221  0.4221  0.2721  0.34
Blet 2003   38  0.5922  0.0152  0.0556  0.0550  0.0559  0.05
Block 1995   52  0.5247  0.0062  0.0371  0.0337  0.1456  0.06
Blumental 1952   59  0.4742  0.0050  0.0747  0.0731  0.1635  0.11
Boshniakovich 1969   27  0.6433  0.0047  0.0649  0.0635  0.1838  0.10
Brailowsky 1960   23  0.6676  0.0031  0.0630  0.2529  0.2627  0.25
Bunin 1987   74  0.3654  0.0081  0.0373  0.0383  0.0287  0.02
Bunin 1987b   73  0.3637  0.0080  0.0383  0.0383  0.0374  0.03
Chiu 1999   19  0.687  0.035  0.176  0.523  0.593  0.55
Cohen 1997   41  0.5827  0.0027  0.0827  0.317  0.4617  0.38
Cortot 1951   43  0.5580  0.0061  0.0461  0.0452  0.0662  0.05
Csalog 1996   11  0.703  0.093  0.119  0.502  0.584  0.54
Czerny 1949   61  0.4789  0.0056  0.0651  0.0665  0.0370  0.04
Czerny 1990   29  0.6360  0.0042  0.0636  0.1763  0.0446  0.08
Duchoud 2007   40  0.5812  0.0234  0.1128  0.2840  0.1331  0.19
Ezaki 2006   33  0.6348  0.0044  0.0544  0.1069  0.0357  0.05
Falvay 1989   4  0.7514  0.0111  0.117  0.5116  0.3413  0.42
Farrell 1958   46  0.5484  0.0073  0.0559  0.0580  0.0363  0.04
Ferenczy 1958   66  0.4585  0.0072  0.0468  0.0461  0.0469  0.04
Fliere 1977   6  0.7311  0.0215  0.118  0.5031  0.1824  0.30
Fou 1978   17  0.6935  0.0012  0.1013  0.4821  0.3614  0.42
Francois 1956   48  0.5343  0.0039  0.0633  0.1863  0.0448  0.08
Friedman 1923   90  -0.1062  0.0090  0.0190  0.0183  0.0390  0.02
Friedman 1923b   89  -0.0956  0.0089  0.0289  0.0278  0.0388  0.02
Friedman 1930   86  0.0851  0.0086  0.0380  0.0382  0.0377  0.03
Garcia 2007   78  0.3472  0.0078  0.0381  0.0356  0.0478  0.03
Garcia 2007b   85  0.1566  0.0085  0.0382  0.0370  0.0383  0.03
Gierzod 1998   13  0.6981  0.0016  0.0920  0.4232  0.1926  0.28
Gornostaeva 1994   42  0.5663  0.0055  0.0558  0.0565  0.0371  0.04
Groot 1988   28  0.6423  0.0149  0.0846  0.0843  0.1043  0.09
Harasiewicz 1955   75  0.3652  0.0060  0.0462  0.0480  0.0381  0.03
Hatto 1993   72  0.3931  0.0022  0.1624  0.3235  0.1530  0.22
Hatto 1997   70  0.4019  0.0132  0.0931  0.2451  0.0437  0.10
Horowitz 1949   53  0.5216  0.0151  0.0557  0.0555  0.0465  0.04
Indjic 1988   67  0.4164  0.0021  0.1125  0.3232  0.1629  0.23
Kapell 1951   47  0.5477  0.0066  0.0554  0.0567  0.0364  0.04
Kissin 1993   1  0.811  0.361  0.361  0.672  0.701  0.68
Kushner 1989   8  0.7210  0.0213  0.103  0.5610  0.409  0.47
Luisada 1991   34  0.624  0.056  0.1322  0.3814  0.3915  0.38
Lushtak 2004   36  0.6032  0.0037  0.0437  0.1551  0.0541  0.09
Malcuzynski 1961   24  0.6630  0.0048  0.0945  0.0967  0.0454  0.06
Magaloff 1978   25  0.6439  0.0043  0.0542  0.1173  0.0353  0.06
Magin 1975   58  0.4825  0.0036  0.0439  0.1352  0.0545  0.08
Michalowski 1933   79  0.3257  0.0065  0.0560  0.0563  0.0466  0.04
Milkina 1970   2  0.788  0.032  0.252  0.584  0.592  0.58
Mohovich 1999   35  0.6118  0.0157  0.0648  0.0662  0.0461  0.05
Moravec 1969   15  0.699  0.038  0.1311  0.494  0.547  0.51
Morozova 2008   49  0.5324  0.0030  0.0632  0.2147  0.0536  0.10
Neighaus 1950   30  0.6373  0.0038  0.0435  0.1757  0.0447  0.08
Niedzielski 1931   65  0.4538  0.0053  0.0555  0.0538  0.1244  0.08
Ohlsson 1999   7  0.722  0.094  0.135  0.537  0.515  0.52
Osinska 1989   9  0.7168  0.0014  0.0816  0.4620  0.3116  0.38
Pachmann 1927   50  0.5374  0.0054  0.0652  0.0635  0.2234  0.11
Paderewski 1930   37  0.605  0.0528  0.0840  0.1229  0.1733  0.14
Perlemuter 1992   56  0.4949  0.0064  0.0467  0.0444  0.0852  0.06
Pierdomenico 2008   26  0.6441  0.0019  0.1017  0.446  0.4310  0.43
Poblocka 1999   10  0.716  0.0423  0.1119  0.4325  0.2820  0.35
Rabcewiczowa 1932   60  0.4782  0.0071  0.0464  0.0464  0.0373  0.03
Rachmaninoff 1923   82  0.2661  0.0076  0.0286  0.0266  0.0385  0.02
Rangell 2001   20  0.6717  0.0124  0.1314  0.4718  0.2819  0.36
Richter 1976   54  0.5046  0.0058  0.0465  0.0439  0.0955  0.06
Rosen 1989   14  0.6945  0.0026  0.0823  0.3428  0.3022  0.32
Rosenthal 1930   69  0.4171  0.0077  0.0379  0.0380  0.0379  0.03
Rosenthal 1931   81  0.3044  0.0084  0.0376  0.0371  0.0376  0.03
Rosenthal 1931b   80  0.3255  0.0083  0.0378  0.0379  0.0289  0.02
Rosenthal 1931c   64  0.4558  0.0074  0.0377  0.0370  0.0382  0.03
Rosenthal 1931d   68  0.4165  0.0075  0.0375  0.0360  0.0480  0.03
Rossi 2007   83  0.2090  0.0079  0.0284  0.0258  0.0384  0.02
Rubinstein 1939   77  0.3486  0.0040  0.0438  0.1526  0.3428  0.23
Rubinstein 1952   3  0.7636  0.007  0.1210  0.497  0.556  0.52
Rubinstein 1966   22  0.6667  0.0025  0.1126  0.3118  0.4318  0.37
Schilhawsky 1960   63  0.4550  0.0063  0.0469  0.0468  0.0468  0.04
Shebanova 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Smith 1975   39  0.5983  0.0045  0.0653  0.0660  0.0458  0.05
Sokolov 2002   51  0.5340  0.0059  0.0466  0.0468  0.0372  0.03
Sztompka 1959   57  0.4934  0.0069  0.0372  0.0365  0.0475  0.03
Tomsic 1995   18  0.6826  0.0029  0.0634  0.1836  0.1432  0.16
Uninsky 1932   71  0.4028  0.0070  0.0463  0.0446  0.0660  0.05
Uninsky 1971   62  0.4678  0.0068  0.0374  0.0355  0.0567  0.04
Wasowski 1980   45  0.5415  0.0135  0.0543  0.1144  0.0839  0.09
Zak 1937   21  0.6729  0.009  0.1112  0.4814  0.3811  0.43
Zak 1951   31  0.6320  0.0117  0.1118  0.4332  0.2323  0.31
Random 1   87  0.0487  0.0087  0.0288  0.025  0.4342  0.09
Random 2   88  -0.0588  0.0088  0.0285  0.0224  0.2549  0.07
Random 3   84  0.1869  0.0082  0.0287  0.0222  0.2751  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).