Schilhawsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   4  0.7232  0.007  0.185  0.616  0.613  0.61
Anderszewski 2003   44  0.5567  0.0054  0.0847  0.0854  0.0460  0.06
Ashkenazy 1981   47  0.5368  0.0037  0.1034  0.2632  0.2536  0.25
Bacha 2000   81  0.3744  0.0076  0.0376  0.0372  0.0484  0.03
Badura 1965   36  0.5720  0.0130  0.0840  0.1925  0.3833  0.27
Barbosa 1983   76  0.4134  0.0074  0.0474  0.0458  0.0579  0.04
Biret 1990   58  0.509  0.0148  0.0553  0.0552  0.0570  0.05
Blet 2003   53  0.5149  0.0060  0.0464  0.0444  0.1061  0.06
Block 1995   69  0.4488  0.0070  0.0377  0.0347  0.0767  0.05
Blumental 1952   51  0.5212  0.0140  0.0839  0.1965  0.0451  0.09
Boshniakovich 1969   13  0.6724  0.0019  0.1814  0.5721  0.5015  0.53
Brailowsky 1960   78  0.3969  0.0081  0.0380  0.0361  0.0572  0.04
Bunin 1987   42  0.5611  0.0122  0.1227  0.423  0.5823  0.49
Bunin 1987b   45  0.5445  0.0023  0.1129  0.413  0.5724  0.48
Chiu 1999   71  0.4323  0.0058  0.0378  0.0384  0.0385  0.03
Cohen 1997   88  0.2489  0.0086  0.0388  0.0383  0.0389  0.03
Cortot 1951   31  0.5877  0.0036  0.1132  0.383  0.7116  0.52
Csalog 1996   83  0.3773  0.0075  0.0384  0.0376  0.0388  0.03
Czerny 1949   1  0.761  0.331  0.332  0.734  0.701  0.71
Czerny 1990   20  0.6435  0.0033  0.0926  0.4344  0.1338  0.24
Duchoud 2007   75  0.4178  0.0063  0.0461  0.0432  0.2150  0.09
Ezaki 2006   28  0.5946  0.0043  0.0543  0.1052  0.0654  0.08
Falvay 1989   85  0.3061  0.0087  0.0387  0.0384  0.0386  0.03
Farrell 1958   64  0.4663  0.0062  0.0554  0.0553  0.0663  0.05
Ferenczy 1958   59  0.4974  0.0056  0.0459  0.0449  0.0666  0.05
Fliere 1977   3  0.7417  0.016  0.128  0.6011  0.528  0.56
Fou 1978   57  0.5070  0.0059  0.0465  0.0475  0.0478  0.04
Francois 1956   63  0.4731  0.0072  0.0382  0.0358  0.0583  0.04
Friedman 1923   40  0.5629  0.0051  0.0650  0.0620  0.4744  0.17
Friedman 1923b   38  0.5679  0.0047  0.0651  0.0622  0.4743  0.17
Friedman 1930   39  0.5683  0.0052  0.0748  0.0729  0.4142  0.17
Garcia 2007   50  0.5247  0.0053  0.1046  0.1021  0.4540  0.21
Garcia 2007b   56  0.5059  0.0039  0.0838  0.1931  0.3337  0.25
Gierzod 1998   7  0.7025  0.0010  0.116  0.6124  0.4714  0.54
Gornostaeva 1994   62  0.4772  0.0071  0.0556  0.0558  0.0480  0.04
Groot 1988   68  0.4555  0.0057  0.0467  0.0477  0.0481  0.04
Harasiewicz 1955   10  0.698  0.0117  0.1010  0.5924  0.5112  0.55
Hatto 1993   14  0.6780  0.0013  0.1618  0.5315  0.4225  0.47
Hatto 1997   12  0.6765  0.0014  0.1619  0.5314  0.4622  0.49
Horowitz 1949   30  0.5942  0.0031  0.1030  0.402  0.6121  0.49
Indjic 1988   11  0.6864  0.0012  0.1316  0.5414  0.4717  0.50
Kapell 1951   33  0.5860  0.0027  0.1025  0.4430  0.2432  0.32
Kissin 1993   9  0.7021  0.019  0.207  0.6015  0.604  0.60
Kushner 1989   35  0.5743  0.0049  0.0652  0.0662  0.0564  0.05
Luisada 1991   32  0.5885  0.0046  0.0557  0.0560  0.0562  0.05
Lushtak 2004   46  0.546  0.0238  0.0837  0.2039  0.1941  0.19
Malcuzynski 1961   37  0.5619  0.0116  0.1135  0.2616  0.4431  0.34
Magaloff 1978   66  0.4654  0.0069  0.0458  0.0470  0.0474  0.04
Magin 1975   19  0.6426  0.0020  0.1617  0.5421  0.4520  0.49
Michalowski 1933   29  0.5913  0.0121  0.1220  0.514  0.629  0.56
Milkina 1970   43  0.5536  0.0045  0.0545  0.1056  0.0656  0.08
Mohovich 1999   67  0.4662  0.0066  0.0463  0.0454  0.0669  0.05
Moravec 1969   73  0.4239  0.0077  0.0379  0.0348  0.0671  0.04
Morozova 2008   24  0.6128  0.0034  0.1231  0.3929  0.3429  0.36
Neighaus 1950   26  0.6016  0.0129  0.1221  0.4916  0.5119  0.50
Niedzielski 1931   22  0.6250  0.0025  0.0828  0.418  0.5026  0.45
Ohlsson 1999   34  0.5830  0.0026  0.0822  0.4828  0.3827  0.43
Osinska 1989   25  0.6057  0.0032  0.0833  0.3063  0.0546  0.12
Pachmann 1927   65  0.4666  0.0079  0.0385  0.0342  0.1659  0.07
Paderewski 1930   72  0.4281  0.0073  0.0471  0.0442  0.1258  0.07
Perlemuter 1992   41  0.5671  0.0041  0.0542  0.1216  0.4639  0.23
Pierdomenico 2008   80  0.3833  0.0078  0.0386  0.0348  0.0676  0.04
Poblocka 1999   8  0.707  0.018  0.1712  0.5813  0.5310  0.55
Rabcewiczowa 1932   48  0.5351  0.0050  0.0749  0.0744  0.1055  0.08
Rachmaninoff 1923   18  0.654  0.105  0.189  0.597  0.566  0.57
Rangell 2001   86  0.2953  0.0080  0.0381  0.0366  0.0490  0.03
Richter 1976   5  0.722  0.183  0.194  0.626  0.662  0.64
Rosen 1989   52  0.5158  0.0055  0.0555  0.0564  0.0568  0.05
Rosenthal 1930   49  0.5352  0.0044  0.0544  0.108  0.6634  0.26
Rosenthal 1931   79  0.3986  0.0083  0.0466  0.0438  0.2149  0.09
Rosenthal 1931b   77  0.3975  0.0082  0.0383  0.0336  0.2257  0.08
Rosenthal 1931c   70  0.4415  0.0167  0.0473  0.0430  0.3047  0.11
Rosenthal 1931d   82  0.3737  0.0084  0.0462  0.0436  0.2253  0.09
Rossi 2007   84  0.3584  0.0085  0.0470  0.0467  0.0473  0.04
Rubinstein 1939   61  0.4722  0.0065  0.0468  0.0464  0.0477  0.04
Rubinstein 1952   74  0.4140  0.0068  0.0460  0.0459  0.0582  0.04
Rubinstein 1966   54  0.5156  0.0061  0.0469  0.0456  0.0665  0.05
Schilhawsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Shebanova 2002   15  0.6614  0.0115  0.183  0.6417  0.4811  0.55
Smith 1975   55  0.5027  0.0064  0.0472  0.0451  0.0575  0.04
Sokolov 2002   60  0.4810  0.0142  0.0641  0.1336  0.2045  0.16
Sztompka 1959   17  0.6541  0.0018  0.1313  0.5724  0.5113  0.54
Tomsic 1995   87  0.2876  0.0088  0.0475  0.0485  0.0387  0.03
Uninsky 1932   16  0.6638  0.0011  0.1115  0.557  0.597  0.57
Uninsky 1971   6  0.715  0.024  0.2311  0.598  0.625  0.60
Wasowski 1980   27  0.5918  0.0135  0.0836  0.2434  0.2635  0.25
Zak 1937   23  0.6290  0.0028  0.1024  0.4431  0.2830  0.35
Zak 1951   21  0.6248  0.0024  0.1023  0.4528  0.3328  0.39
Average   2  0.763  0.132  0.281  0.7932  0.3218  0.50
Random 1   90  -0.0291  0.0090  0.0289  0.0217  0.3752  0.09
Random 2   89  0.0082  0.0089  0.0290  0.029  0.4648  0.10
Random 3   91  -0.1387  0.0091  0.0191  0.0164  0.0491  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).