Schilhawsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.7230  0.006  0.184  0.615  0.613  0.61
Anderszewski 2003   43  0.5567  0.0053  0.0846  0.0853  0.0459  0.06
Ashkenazy 1981   46  0.5368  0.0036  0.1033  0.2631  0.2535  0.25
Bacha 2000   80  0.3743  0.0075  0.0375  0.0371  0.0483  0.03
Badura 1965   35  0.5722  0.0129  0.0839  0.1924  0.3832  0.27
Barbosa 1983   75  0.4134  0.0073  0.0473  0.0457  0.0578  0.04
Biret 1990   57  0.5010  0.0147  0.0552  0.0551  0.0570  0.05
Blet 2003   52  0.5149  0.0059  0.0463  0.0443  0.1060  0.06
Block 1995   68  0.4487  0.0069  0.0376  0.0346  0.0767  0.05
Blumental 1952   50  0.5211  0.0139  0.0838  0.1964  0.0450  0.09
Boshniakovich 1969   12  0.6714  0.0118  0.1813  0.5720  0.5015  0.53
Brailowsky 1960   77  0.3969  0.0080  0.0379  0.0360  0.0572  0.04
Bunin 1987   41  0.5612  0.0121  0.1226  0.422  0.5822  0.49
Bunin 1987b   44  0.5444  0.0022  0.1228  0.412  0.5723  0.48
Chiu 1999   70  0.4324  0.0057  0.0377  0.0383  0.0384  0.03
Cohen 1997   87  0.2488  0.0085  0.0387  0.0382  0.0388  0.03
Cortot 1951   30  0.5877  0.0035  0.1131  0.382  0.7116  0.52
Csalog 1996   82  0.3773  0.0074  0.0383  0.0375  0.0387  0.03
Czerny 1949   1  0.761  0.391  0.391  0.733  0.701  0.71
Czerny 1990   19  0.6427  0.0032  0.0925  0.4343  0.1337  0.24
Duchoud 2007   74  0.4178  0.0062  0.0460  0.0431  0.2149  0.09
Ezaki 2006   27  0.5947  0.0042  0.0542  0.1051  0.0652  0.08
Falvay 1989   84  0.3060  0.0086  0.0386  0.0383  0.0385  0.03
Farrell 1958   63  0.4663  0.0061  0.0553  0.0552  0.0663  0.05
Ferenczy 1958   58  0.4974  0.0055  0.0458  0.0448  0.0666  0.05
Fliere 1977   2  0.7418  0.015  0.127  0.6010  0.528  0.56
Fou 1978   56  0.5070  0.0058  0.0464  0.0474  0.0477  0.04
Francois 1956   62  0.4732  0.0071  0.0381  0.0357  0.0582  0.04
Friedman 1923   39  0.5629  0.0050  0.0649  0.0619  0.4743  0.17
Friedman 1923b   37  0.5679  0.0046  0.0650  0.0621  0.4742  0.17
Friedman 1930   38  0.5682  0.0051  0.0747  0.0728  0.4141  0.17
Garcia 2007   49  0.5248  0.0052  0.1044  0.1020  0.4539  0.21
Garcia 2007b   55  0.5059  0.0038  0.0837  0.1930  0.3336  0.25
Gierzod 1998   6  0.7013  0.019  0.115  0.6123  0.4714  0.54
Gornostaeva 1994   61  0.4772  0.0070  0.0555  0.0557  0.0479  0.04
Groot 1988   67  0.4555  0.0056  0.0466  0.0476  0.0480  0.04
Harasiewicz 1955   9  0.695  0.0216  0.109  0.5923  0.5112  0.55
Hatto 1993   13  0.6765  0.0012  0.1617  0.5314  0.4224  0.47
Hatto 1997   11  0.6761  0.0013  0.1618  0.5313  0.4621  0.49
Horowitz 1949   29  0.5941  0.0030  0.1029  0.401  0.6120  0.49
Indjic 1988   10  0.6864  0.0011  0.1315  0.5413  0.4717  0.50
Kapell 1951   32  0.5853  0.0026  0.1024  0.4429  0.2431  0.32
Kissin 1993   8  0.7020  0.018  0.206  0.6014  0.604  0.60
Kushner 1989   34  0.5742  0.0048  0.0651  0.0661  0.0564  0.05
Luisada 1991   31  0.5884  0.0045  0.0556  0.0559  0.0561  0.05
Lushtak 2004   45  0.546  0.0237  0.0836  0.2038  0.1940  0.19
Malcuzynski 1961   36  0.5619  0.0115  0.1134  0.2615  0.4430  0.34
Magaloff 1978   65  0.4654  0.0068  0.0457  0.0469  0.0474  0.04
Magin 1975   18  0.6425  0.0019  0.1616  0.5420  0.4519  0.49
Michalowski 1933   28  0.5915  0.0120  0.1319  0.513  0.629  0.56
Milkina 1970   42  0.5535  0.0044  0.0545  0.1055  0.0654  0.08
Mohovich 1999   66  0.4662  0.0065  0.0462  0.0453  0.0669  0.05
Moravec 1969   72  0.4239  0.0076  0.0378  0.0347  0.0671  0.04
Morozova 2008   23  0.6128  0.0033  0.1230  0.3928  0.3428  0.36
Neighaus 1950   25  0.609  0.0128  0.1220  0.4915  0.5118  0.50
Niedzielski 1931   21  0.6250  0.0024  0.0827  0.417  0.5025  0.45
Ohlsson 1999   33  0.5831  0.0025  0.0821  0.4827  0.3826  0.43
Osinska 1989   24  0.6057  0.0031  0.0832  0.3062  0.0545  0.12
Pachmann 1927   64  0.4666  0.0078  0.0384  0.0341  0.1658  0.07
Paderewski 1930   71  0.4280  0.0072  0.0470  0.0441  0.1257  0.07
Perlemuter 1992   40  0.5671  0.0040  0.0541  0.1215  0.4638  0.23
Pierdomenico 2008   79  0.3833  0.0077  0.0385  0.0347  0.0762  0.05
Poblocka 1999   7  0.707  0.017  0.1711  0.5812  0.5310  0.55
Rabcewiczowa 1932   47  0.5351  0.0049  0.0748  0.0743  0.1053  0.08
Rachmaninoff 1923   17  0.653  0.114  0.188  0.596  0.566  0.57
Rangell 2001   85  0.2952  0.0079  0.0380  0.0365  0.0489  0.03
Richter 1976   4  0.722  0.192  0.203  0.625  0.662  0.64
Rosen 1989   51  0.5158  0.0054  0.0554  0.0563  0.0568  0.05
Rosenthal 1930   48  0.5345  0.0043  0.0543  0.107  0.6633  0.26
Rosenthal 1931   78  0.3985  0.0082  0.0465  0.0437  0.2148  0.09
Rosenthal 1931b   76  0.3975  0.0081  0.0382  0.0335  0.2256  0.08
Rosenthal 1931c   69  0.4416  0.0166  0.0472  0.0429  0.3046  0.11
Rosenthal 1931d   81  0.3736  0.0083  0.0461  0.0435  0.2251  0.09
Rossi 2007   83  0.3583  0.0084  0.0469  0.0466  0.0473  0.04
Rubinstein 1939   60  0.4723  0.0064  0.0467  0.0463  0.0476  0.04
Rubinstein 1952   73  0.4140  0.0067  0.0459  0.0458  0.0581  0.04
Rubinstein 1966   53  0.5156  0.0060  0.0468  0.0455  0.0665  0.05
Schilhawsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Shebanova 2002   14  0.6617  0.0114  0.182  0.6416  0.4811  0.55
Smith 1975   54  0.5026  0.0063  0.0471  0.0450  0.0575  0.04
Sokolov 2002   59  0.488  0.0141  0.0640  0.1335  0.2044  0.16
Sztompka 1959   16  0.6538  0.0017  0.1312  0.5723  0.5113  0.54
Tomsic 1995   86  0.2876  0.0087  0.0474  0.0484  0.0386  0.03
Uninsky 1932   15  0.6637  0.0010  0.1114  0.556  0.597  0.57
Uninsky 1971   5  0.714  0.033  0.2310  0.597  0.625  0.60
Wasowski 1980   26  0.5921  0.0134  0.0935  0.2433  0.2634  0.25
Zak 1937   22  0.6289  0.0027  0.1023  0.4430  0.2829  0.35
Zak 1951   20  0.6246  0.0023  0.1022  0.4527  0.3327  0.39
Random 1   89  -0.0290  0.0089  0.0288  0.0218  0.3655  0.08
Random 2   88  0.0081  0.0088  0.0289  0.029  0.4647  0.10
Random 3   90  -0.1386  0.0090  0.0190  0.0164  0.0490  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).