Poblocka 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.7251  0.0033  0.0723  0.3230  0.2331  0.27
Anderszewski 2003   50  0.607  0.038  0.0820  0.3314  0.4818  0.40
Ashkenazy 1981   13  0.739  0.0210  0.097  0.5113  0.457  0.48
Bacha 2000   34  0.6655  0.0060  0.0464  0.0421  0.3346  0.11
Badura 1965   66  0.4912  0.0147  0.0453  0.0435  0.2248  0.09
Barbosa 1983   54  0.5727  0.0125  0.0625  0.3015  0.4121  0.35
Biret 1990   5  0.7846  0.0012  0.106  0.535  0.495  0.51
Blet 2003   12  0.7452  0.0017  0.0810  0.4815  0.4014  0.44
Block 1995   65  0.5156  0.0080  0.0373  0.0348  0.0480  0.03
Blumental 1952   76  0.4330  0.0032  0.0839  0.1519  0.2435  0.19
Boshniakovich 1969   53  0.5714  0.0170  0.0379  0.0360  0.0481  0.03
Brailowsky 1960   51  0.5961  0.0074  0.0454  0.0448  0.0656  0.05
Bunin 1987   47  0.6241  0.0052  0.0646  0.0642  0.1250  0.08
Bunin 1987b   46  0.6245  0.0051  0.0368  0.0341  0.1254  0.06
Chiu 1999   75  0.4362  0.0061  0.0455  0.0460  0.0460  0.04
Cohen 1997   69  0.4818  0.017  0.0842  0.136  0.4833  0.25
Cortot 1951   15  0.7333  0.0022  0.1015  0.439  0.4813  0.45
Csalog 1996   25  0.692  0.142  0.1422  0.323  0.5715  0.43
Czerny 1949   48  0.6182  0.0042  0.0536  0.1734  0.2037  0.18
Czerny 1990   16  0.7279  0.0026  0.0817  0.4231  0.2328  0.31
Duchoud 2007   7  0.7522  0.0111  0.088  0.5011  0.466  0.48
Ezaki 2006   8  0.7513  0.0120  0.1011  0.4828  0.2424  0.34
Falvay 1989   30  0.6835  0.0034  0.0628  0.2540  0.1336  0.18
Farrell 1958   35  0.6649  0.0063  0.0450  0.0439  0.1152  0.07
Ferenczy 1958   3  0.814  0.054  0.124  0.572  0.642  0.60
Fliere 1977   6  0.7610  0.0127  0.0921  0.3350  0.0543  0.13
Fou 1978   64  0.5242  0.0075  0.0369  0.0368  0.0471  0.03
Francois 1956   45  0.6260  0.0043  0.0640  0.1540  0.1245  0.13
Friedman 1923   89  0.1075  0.0088  0.0288  0.0262  0.0588  0.03
Friedman 1923b   88  0.1176  0.0087  0.0385  0.0372  0.0565  0.04
Friedman 1930   83  0.3167  0.0067  0.0372  0.0343  0.0958  0.05
Garcia 2007   77  0.4363  0.0066  0.0377  0.0339  0.1753  0.07
Garcia 2007b   86  0.1769  0.0086  0.0378  0.0378  0.0387  0.03
Gierzod 1998   14  0.7311  0.0128  0.1116  0.437  0.3819  0.40
Gornostaeva 1994   43  0.6234  0.0072  0.0463  0.0471  0.0383  0.03
Groot 1988   27  0.6825  0.0157  0.0462  0.0453  0.0466  0.04
Harasiewicz 1955   80  0.3638  0.0056  0.0375  0.0376  0.0385  0.03
Hatto 1993   73  0.4637  0.0016  0.1132  0.2410  0.4226  0.32
Hatto 1997   57  0.555  0.059  0.0927  0.2812  0.4322  0.35
Horowitz 1949   71  0.4783  0.0078  0.0381  0.0370  0.0376  0.03
Indjic 1988   68  0.4929  0.0015  0.0930  0.2411  0.4225  0.32
Kapell 1951   1  0.841  0.321  0.321  0.642  0.581  0.61
Kissin 1993   44  0.6247  0.0065  0.0370  0.0353  0.0564  0.04
Kushner 1989   31  0.6836  0.0053  0.0374  0.0362  0.0472  0.03
Luisada 1991   49  0.6026  0.0136  0.0637  0.1740  0.1439  0.15
Lushtak 2004   20  0.716  0.053  0.133  0.586  0.543  0.56
Malcuzynski 1961   24  0.6917  0.0162  0.0456  0.0473  0.0375  0.03
Magaloff 1978   29  0.6839  0.0045  0.0545  0.1154  0.0451  0.07
Magin 1975   70  0.4723  0.0177  0.0384  0.0364  0.0370  0.03
Michalowski 1933   67  0.4928  0.0118  0.0814  0.448  0.4612  0.45
Milkina 1970   36  0.6585  0.0071  0.0380  0.0365  0.0474  0.03
Mohovich 1999   18  0.7232  0.0038  0.0633  0.2136  0.1238  0.16
Moravec 1969   41  0.6464  0.0054  0.0460  0.0426  0.2947  0.11
Morozova 2008   62  0.5244  0.0055  0.0457  0.0472  0.0377  0.03
Neighaus 1950   32  0.6668  0.0040  0.0443  0.1241  0.1742  0.14
Niedzielski 1931   61  0.5465  0.0068  0.0548  0.0515  0.3344  0.13
Ohlsson 1999   4  0.8016  0.016  0.105  0.557  0.544  0.54
Osinska 1989   11  0.7431  0.0024  0.0719  0.409  0.4216  0.41
Pachmann 1927   74  0.4458  0.0081  0.0451  0.0460  0.0463  0.04
Paderewski 1930   9  0.758  0.0319  0.0818  0.414  0.4911  0.45
Perlemuter 1992   59  0.5424  0.0150  0.0376  0.0353  0.0559  0.04
Pierdomenico 2008   63  0.5280  0.0073  0.0459  0.0473  0.0369  0.03
Poblocka 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rabcewiczowa 1932   37  0.6559  0.0039  0.0635  0.2123  0.3529  0.27
Rachmaninoff 1923   79  0.4084  0.0069  0.0458  0.0482  0.0368  0.03
Rangell 2001   28  0.6819  0.0144  0.0444  0.1134  0.1941  0.14
Richter 1976   40  0.6415  0.0137  0.0634  0.2113  0.3630  0.27
Rosen 1989   33  0.6673  0.0059  0.0465  0.0442  0.1649  0.08
Rosenthal 1930   58  0.5571  0.0079  0.0382  0.0376  0.0379  0.03
Rosenthal 1931   81  0.3488  0.0084  0.0287  0.0288  0.0289  0.02
Rosenthal 1931b   82  0.3489  0.0085  0.0383  0.0383  0.0291  0.02
Rosenthal 1931c   52  0.5977  0.0076  0.0452  0.0466  0.0386  0.03
Rosenthal 1931d   78  0.4270  0.0083  0.0386  0.0374  0.0384  0.03
Rossi 2007   85  0.2178  0.0082  0.0371  0.0351  0.0467  0.03
Rubinstein 1939   84  0.3086  0.0048  0.0461  0.0447  0.0561  0.04
Rubinstein 1952   55  0.5648  0.0046  0.0449  0.0445  0.0955  0.06
Rubinstein 1966   39  0.6454  0.0049  0.0547  0.0547  0.0557  0.05
Schilhawsky 1960   23  0.6950  0.0013  0.1312  0.489  0.478  0.47
Shebanova 2002   21  0.7121  0.0130  0.0726  0.2820  0.4323  0.35
Smith 1975   26  0.6940  0.0014  0.109  0.4911  0.3217  0.40
Sokolov 2002   19  0.7287  0.0035  0.0729  0.2532  0.2732  0.26
Sztompka 1959   10  0.7520  0.0121  0.1313  0.4710  0.469  0.46
Tomsic 1995   22  0.7066  0.0041  0.0441  0.1539  0.1340  0.14
Uninsky 1932   72  0.4681  0.0031  0.0838  0.1635  0.2234  0.19
Uninsky 1971   38  0.6553  0.0023  0.0924  0.3223  0.4020  0.36
Wasowski 1980   42  0.6372  0.0029  0.0831  0.243  0.4127  0.31
Zak 1937   56  0.5657  0.0064  0.0367  0.0364  0.0473  0.03
Zak 1951   60  0.5443  0.0058  0.0366  0.0356  0.0562  0.04
Average   2  0.833  0.055  0.172  0.5913  0.3610  0.46
Random 1   91  -0.1190  0.0091  0.0191  0.0180  0.0390  0.02
Random 2   90  -0.0674  0.0090  0.0290  0.0246  0.0578  0.03
Random 3   87  0.1491  0.0089  0.0289  0.0250  0.0582  0.03

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).