Poblocka 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.6234  0.0031  0.0523  0.3022  0.3027  0.30
Anderszewski 2003   47  0.5115  0.0110  0.1121  0.3211  0.5117  0.40
Ashkenazy 1981   9  0.6263  0.009  0.128  0.5017  0.4510  0.47
Bacha 2000   57  0.4876  0.0077  0.0381  0.0339  0.2257  0.08
Badura 1965   65  0.4413  0.0150  0.0557  0.0523  0.3345  0.13
Barbosa 1983   53  0.5035  0.0015  0.0718  0.3719  0.4516  0.41
Biret 1990   12  0.6166  0.0026  0.1120  0.3419  0.4618  0.40
Blet 2003   19  0.6046  0.0020  0.0810  0.449  0.4612  0.45
Block 1995   58  0.4854  0.0069  0.0555  0.0536  0.1756  0.09
Blumental 1952   73  0.4058  0.0047  0.0460  0.0423  0.2753  0.10
Boshniakovich 1969   39  0.5420  0.0154  0.0553  0.0537  0.1954  0.10
Brailowsky 1960   46  0.5224  0.0067  0.0554  0.0544  0.1059  0.07
Bunin 1987   41  0.5431  0.0042  0.0438  0.1733  0.2337  0.20
Bunin 1987b   40  0.5437  0.0043  0.0539  0.1733  0.2239  0.19
Chiu 1999   71  0.4045  0.0053  0.0461  0.0439  0.1858  0.08
Cohen 1997   69  0.4212  0.0165  0.0463  0.0417  0.3948  0.12
Cortot 1951   44  0.5239  0.0048  0.0550  0.0519  0.3546  0.13
Csalog 1996   14  0.613  0.143  0.149  0.452  0.606  0.52
Czerny 1949   60  0.4777  0.0068  0.0548  0.0553  0.0569  0.05
Czerny 1990   8  0.6353  0.0016  0.0711  0.4415  0.4514  0.44
Duchoud 2007   6  0.647  0.026  0.125  0.536  0.517  0.52
Ezaki 2006   7  0.638  0.0118  0.0714  0.3927  0.2921  0.34
Falvay 1989   29  0.5736  0.0014  0.0725  0.2863  0.0450  0.11
Farrell 1958   49  0.5155  0.0059  0.0465  0.0420  0.3547  0.12
Ferenczy 1958   15  0.6132  0.0023  0.1015  0.395  0.5213  0.45
Fliere 1977   3  0.684  0.034  0.163  0.5718  0.523  0.54
Fou 1978   55  0.4916  0.0161  0.0468  0.0446  0.0767  0.05
Francois 1956   43  0.5348  0.0045  0.0744  0.1340  0.1542  0.14
Friedman 1923   88  0.1968  0.0083  0.0475  0.0451  0.0670  0.05
Friedman 1923b   86  0.2038  0.0082  0.0464  0.0442  0.1162  0.07
Friedman 1930   80  0.3249  0.0063  0.0470  0.0434  0.2752  0.10
Garcia 2007   79  0.3362  0.0078  0.0478  0.0419  0.4244  0.13
Garcia 2007b   84  0.2269  0.0084  0.0471  0.0457  0.0477  0.04
Gierzod 1998   30  0.5778  0.0033  0.0530  0.2417  0.3432  0.29
Gornostaeva 1994   38  0.5451  0.0066  0.0459  0.0469  0.0385  0.03
Groot 1988   11  0.629  0.0136  0.0536  0.1933  0.2436  0.21
Harasiewicz 1955   78  0.3543  0.0051  0.0547  0.0572  0.0376  0.04
Hatto 1993   75  0.3979  0.0022  0.0732  0.2212  0.4229  0.30
Hatto 1997   62  0.4626  0.0011  0.1028  0.2516  0.4424  0.33
Horowitz 1949   67  0.4360  0.0079  0.0466  0.0473  0.0382  0.03
Indjic 1988   72  0.4070  0.0021  0.0733  0.2212  0.4126  0.30
Kapell 1951   2  0.712  0.162  0.342  0.662  0.571  0.61
Kissin 1993   35  0.5547  0.0056  0.0474  0.0449  0.0668  0.05
Kushner 1989   27  0.5852  0.0052  0.0552  0.0541  0.1555  0.09
Luisada 1991   33  0.565  0.0224  0.0924  0.2918  0.3723  0.33
Lushtak 2004   23  0.5923  0.007  0.106  0.538  0.554  0.54
Malcuzynski 1961   24  0.5822  0.0049  0.0551  0.0546  0.0765  0.06
Magaloff 1978   16  0.6040  0.0037  0.0642  0.1549  0.0751  0.10
Magin 1975   70  0.4117  0.0175  0.0386  0.0369  0.0380  0.03
Michalowski 1933   61  0.4630  0.0017  0.0812  0.435  0.4711  0.45
Milkina 1970   52  0.5086  0.0073  0.0380  0.0370  0.0481  0.03
Mohovich 1999   21  0.6025  0.0035  0.0527  0.2630  0.2533  0.25
Moravec 1969   42  0.5356  0.0055  0.0467  0.0425  0.3049  0.11
Morozova 2008   54  0.4919  0.0144  0.0543  0.1354  0.0461  0.07
Neighaus 1950   32  0.5621  0.0141  0.0835  0.2037  0.1740  0.18
Niedzielski 1931   66  0.4344  0.0076  0.0382  0.0336  0.1264  0.06
Ohlsson 1999   4  0.6718  0.018  0.137  0.5112  0.458  0.48
Osinska 1989   17  0.6067  0.0030  0.0631  0.2315  0.4125  0.31
Pachmann 1927   74  0.3987  0.0072  0.0388  0.0357  0.0575  0.04
Paderewski 1930   13  0.6133  0.0019  0.0819  0.368  0.5215  0.43
Perlemuter 1992   45  0.5211  0.0132  0.0526  0.2625  0.3330  0.29
Pierdomenico 2008   76  0.3882  0.0080  0.0462  0.0469  0.0379  0.03
Poblocka 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rabcewiczowa 1932   50  0.5080  0.0060  0.0549  0.0527  0.3443  0.13
Rachmaninoff 1923   77  0.3774  0.0064  0.0556  0.0568  0.0471  0.04
Rangell 2001   20  0.606  0.0229  0.0629  0.2518  0.3728  0.30
Richter 1976   36  0.5571  0.0034  0.0534  0.2112  0.4031  0.29
Rosen 1989   25  0.5861  0.0039  0.0541  0.1726  0.3334  0.24
Rosenthal 1930   63  0.4565  0.0074  0.0384  0.0363  0.0484  0.03
Rosenthal 1931   85  0.2283  0.0088  0.0383  0.0379  0.0383  0.03
Rosenthal 1931b   83  0.2388  0.0087  0.0387  0.0382  0.0290  0.02
Rosenthal 1931c   68  0.4289  0.0081  0.0472  0.0464  0.0386  0.03
Rosenthal 1931d   81  0.2972  0.0086  0.0385  0.0383  0.0289  0.02
Rossi 2007   87  0.2064  0.0085  0.0458  0.0465  0.0378  0.03
Rubinstein 1939   82  0.2628  0.0071  0.0479  0.0452  0.0572  0.04
Rubinstein 1952   51  0.5050  0.0070  0.0473  0.0447  0.0866  0.06
Rubinstein 1966   37  0.5527  0.0062  0.0469  0.0441  0.1360  0.07
Schilhawsky 1960   34  0.5614  0.0112  0.0913  0.429  0.529  0.47
Shebanova 2002   18  0.6010  0.0127  0.1022  0.3121  0.4020  0.35
Smith 1975   31  0.5784  0.0025  0.1216  0.3825  0.3122  0.34
Sokolov 2002   26  0.5890  0.0046  0.0646  0.0648  0.0663  0.06
Sztompka 1959   5  0.6629  0.005  0.114  0.557  0.515  0.53
Tomsic 1995   22  0.5975  0.0040  0.0637  0.1742  0.1541  0.16
Uninsky 1932   64  0.4473  0.0028  0.0840  0.1725  0.2535  0.21
Uninsky 1971   28  0.5757  0.0013  0.0817  0.3727  0.3719  0.37
Wasowski 1980   48  0.5159  0.0038  0.0545  0.1015  0.3838  0.19
Zak 1937   56  0.4841  0.0058  0.0477  0.0463  0.0573  0.04
Zak 1951   59  0.4742  0.0057  0.0476  0.0463  0.0474  0.04
Average   1  0.761  0.431  0.431  0.7213  0.422  0.55
Random 1   91  -0.0885  0.0091  0.0191  0.0186  0.0291  0.01
Random 2   90  -0.0591  0.0089  0.0290  0.0263  0.0387  0.02
Random 3   89  0.0281  0.0090  0.0289  0.0263  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).