Shebanova 2002

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   39  0.5276  0.0045  0.0657  0.0647  0.0657  0.06
Anderszewski 2003   75  0.3185  0.0071  0.0474  0.0453  0.0375  0.03
Ashkenazy 1981   2  0.722  0.112  0.332  0.713  0.625  0.66
Bacha 2000   20  0.5867  0.0033  0.0916  0.432  0.6310  0.52
Badura 1965   60  0.4254  0.0049  0.0652  0.0634  0.2150  0.11
Barbosa 1983   43  0.5139  0.0029  0.0826  0.3521  0.4321  0.39
Biret 1990   47  0.4953  0.0046  0.0649  0.0651  0.0565  0.05
Blet 2003   28  0.5620  0.0040  0.0736  0.2526  0.3034  0.27
Block 1995   41  0.5236  0.0051  0.0567  0.0522  0.3149  0.12
Blumental 1952   56  0.4560  0.0044  0.0644  0.1114  0.3638  0.20
Boshniakovich 1969   16  0.5958  0.0037  0.0934  0.2723  0.4129  0.33
Brailowsky 1960   50  0.4786  0.0056  0.0653  0.0666  0.0459  0.05
Bunin 1987   70  0.3577  0.0077  0.0376  0.0370  0.0479  0.03
Bunin 1987b   69  0.3581  0.0076  0.0382  0.0367  0.0473  0.03
Chiu 1999   5  0.6525  0.004  0.205  0.611  0.763  0.68
Cohen 1997   57  0.4542  0.0057  0.0651  0.0619  0.3642  0.15
Cortot 1951   61  0.4287  0.0066  0.0473  0.0457  0.0569  0.04
Csalog 1996   13  0.6013  0.0111  0.139  0.503  0.599  0.54
Czerny 1949   74  0.3271  0.0074  0.0471  0.0474  0.0377  0.03
Czerny 1990   8  0.6231  0.0015  0.1011  0.4916  0.4017  0.44
Duchoud 2007   34  0.548  0.0226  0.0628  0.3528  0.3825  0.36
Ezaki 2006   45  0.5043  0.0058  0.0845  0.0872  0.0358  0.05
Falvay 1989   10  0.6163  0.0017  0.1017  0.4314  0.3720  0.40
Farrell 1958   64  0.3988  0.0075  0.0379  0.0385  0.0372  0.03
Ferenczy 1958   78  0.2989  0.0080  0.0286  0.0264  0.0387  0.02
Fliere 1977   4  0.697  0.026  0.224  0.642  0.684  0.66
Fou 1978   7  0.6350  0.008  0.128  0.537  0.5112  0.52
Francois 1956   63  0.4147  0.0062  0.0565  0.0570  0.0370  0.04
Friedman 1923   87  0.1528  0.0079  0.0381  0.0378  0.0384  0.03
Friedman 1923b   86  0.1641  0.0078  0.0384  0.0374  0.0480  0.03
Friedman 1930   81  0.2657  0.0072  0.0472  0.0474  0.0376  0.03
Garcia 2007   71  0.3559  0.0068  0.0656  0.0614  0.4541  0.16
Garcia 2007b   76  0.3061  0.0070  0.0564  0.0512  0.4144  0.14
Gierzod 1998   33  0.5478  0.0027  0.0722  0.3921  0.2730  0.32
Gornostaeva 1994   59  0.4446  0.0065  0.0470  0.0481  0.0381  0.03
Groot 1988   14  0.6015  0.0135  0.0731  0.3127  0.3031  0.30
Harasiewicz 1955   65  0.3955  0.0060  0.0654  0.0686  0.0282  0.03
Hatto 1993   52  0.4721  0.009  0.1219  0.409  0.5316  0.46
Hatto 1997   68  0.3833  0.0032  0.0835  0.2562  0.0451  0.10
Horowitz 1949   48  0.4916  0.0150  0.0562  0.0549  0.0562  0.05
Indjic 1988   53  0.4648  0.0010  0.1425  0.389  0.4818  0.43
Kapell 1951   42  0.5138  0.0059  0.0655  0.0658  0.0461  0.05
Kissin 1993   1  0.771  0.591  0.581  0.791  0.811  0.80
Kushner 1989   3  0.6912  0.015  0.193  0.662  0.802  0.73
Luisada 1991   18  0.5811  0.013  0.197  0.535  0.558  0.54
Lushtak 2004   31  0.5540  0.0041  0.0841  0.1834  0.1940  0.18
Malcuzynski 1961   11  0.6127  0.0025  0.0629  0.3448  0.0547  0.13
Magaloff 1978   26  0.5744  0.0039  0.0837  0.2449  0.0745  0.13
Magin 1975   49  0.4924  0.0031  0.0730  0.3221  0.2732  0.29
Michalowski 1933   66  0.3919  0.0055  0.0559  0.0539  0.1755  0.09
Milkina 1970   25  0.5768  0.0016  0.0915  0.467  0.4615  0.46
Mohovich 1999   44  0.5037  0.0061  0.0560  0.0549  0.0563  0.05
Moravec 1969   22  0.5873  0.0012  0.1610  0.504  0.5511  0.52
Morozova 2008   35  0.5334  0.0018  0.0923  0.3919  0.3028  0.34
Neighaus 1950   24  0.5865  0.0034  0.1032  0.3048  0.0743  0.14
Niedzielski 1931   54  0.4617  0.0042  0.0642  0.1412  0.3936  0.23
Ohlsson 1999   6  0.643  0.047  0.176  0.574  0.537  0.55
Osinska 1989   38  0.5279  0.0048  0.0846  0.0851  0.0656  0.07
Pachmann 1927   40  0.5235  0.0043  0.0643  0.1221  0.4437  0.23
Paderewski 1930   32  0.544  0.0321  0.0738  0.2322  0.3035  0.26
Perlemuter 1992   46  0.4926  0.0054  0.0747  0.0733  0.1948  0.12
Pierdomenico 2008   23  0.5818  0.0020  0.0814  0.471  0.686  0.57
Poblocka 1999   12  0.609  0.0219  0.0820  0.4021  0.3127  0.35
Rabcewiczowa 1932   72  0.3482  0.0081  0.0377  0.0373  0.0371  0.03
Rachmaninoff 1923   80  0.2732  0.0073  0.0568  0.0550  0.0560  0.05
Rangell 2001   21  0.5851  0.0036  0.0727  0.3512  0.4223  0.38
Richter 1976   29  0.5610  0.0122  0.0739  0.2222  0.3333  0.27
Rosen 1989   15  0.6030  0.0030  0.0924  0.3819  0.3922  0.38
Rosenthal 1930   77  0.3080  0.0083  0.0378  0.0379  0.0378  0.03
Rosenthal 1931   84  0.1922  0.0086  0.0288  0.0279  0.0386  0.02
Rosenthal 1931b   83  0.2045  0.0087  0.0383  0.0384  0.0289  0.02
Rosenthal 1931c   73  0.3274  0.0082  0.0375  0.0364  0.0383  0.03
Rosenthal 1931d   82  0.2575  0.0085  0.0380  0.0383  0.0288  0.02
Rossi 2007   85  0.1849  0.0084  0.0285  0.0252  0.0385  0.02
Rubinstein 1939   79  0.2884  0.0047  0.0650  0.0628  0.2946  0.13
Rubinstein 1952   9  0.6162  0.0014  0.0812  0.497  0.5513  0.52
Rubinstein 1966   27  0.5664  0.0028  0.0921  0.3912  0.4519  0.42
Schilhawsky 1960   67  0.3823  0.0064  0.0561  0.0561  0.0468  0.04
Shebanova 2002   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Smith 1975   55  0.4566  0.0063  0.0558  0.0556  0.0467  0.04
Sokolov 2002   58  0.4529  0.0069  0.0566  0.0572  0.0366  0.04
Sztompka 1959   37  0.5214  0.0152  0.0563  0.0541  0.1654  0.09
Tomsic 1995   17  0.5972  0.0038  0.0740  0.2242  0.1439  0.18
Uninsky 1932   51  0.475  0.0253  0.0648  0.0636  0.1652  0.10
Uninsky 1971   62  0.4269  0.0067  0.0569  0.0585  0.0274  0.03
Wasowski 1980   36  0.536  0.0223  0.0733  0.278  0.4526  0.35
Zak 1937   19  0.5852  0.0013  0.0913  0.4810  0.4914  0.48
Zak 1951   30  0.5583  0.0024  0.0718  0.4228  0.3124  0.36
Random 1   89  0.0670  0.0088  0.0289  0.024  0.5053  0.10
Random 2   90  -0.0590  0.0090  0.0190  0.0182  0.0290  0.01
Random 3   88  0.0856  0.0089  0.0287  0.0238  0.1464  0.05

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).