Block 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   40  0.4946  0.0047  0.0471  0.0457  0.0573  0.04
Anderszewski 2003   2  0.645  0.053  0.204  0.6713  0.512  0.58
Ashkenazy 1981   64  0.4185  0.0061  0.0559  0.0558  0.0559  0.05
Bacha 2000   67  0.4050  0.0059  0.0478  0.0466  0.0460  0.04
Badura 1965   41  0.4942  0.0063  0.0651  0.0647  0.0850  0.07
Barbosa 1983   46  0.4715  0.0117  0.0723  0.3426  0.4410  0.39
Biret 1990   29  0.5132  0.0020  0.0920  0.3751  0.0533  0.14
Blet 2003   56  0.4413  0.0154  0.0557  0.0534  0.1940  0.10
Block 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blumental 1952   69  0.4023  0.0033  0.0637  0.1859  0.0447  0.08
Boshniakovich 1969   21  0.5273  0.0025  0.0625  0.3145  0.1025  0.18
Brailowsky 1960   12  0.5610  0.0119  0.0815  0.479  0.664  0.56
Bunin 1987   75  0.3768  0.0076  0.0465  0.0459  0.0576  0.04
Bunin 1987b   78  0.3570  0.0077  0.0473  0.0461  0.0467  0.04
Chiu 1999   33  0.5033  0.0035  0.0636  0.1937  0.1526  0.17
Cohen 1997   88  0.1758  0.0088  0.0479  0.0487  0.0284  0.03
Cortot 1951   61  0.4324  0.0051  0.0475  0.0467  0.0477  0.04
Csalog 1996   70  0.3943  0.0058  0.0474  0.0434  0.1846  0.08
Czerny 1949   53  0.4680  0.0070  0.0562  0.0573  0.0472  0.04
Czerny 1990   27  0.5249  0.0039  0.0638  0.1770  0.0448  0.08
Duchoud 2007   77  0.3586  0.0066  0.0468  0.0457  0.0574  0.04
Ezaki 2006   5  0.613  0.106  0.167  0.5728  0.348  0.44
Falvay 1989   14  0.546  0.0415  0.1016  0.4624  0.465  0.46
Farrell 1958   44  0.4872  0.0036  0.0830  0.2257  0.0637  0.11
Ferenczy 1958   24  0.5226  0.0041  0.0542  0.1316  0.4919  0.25
Fliere 1977   7  0.578  0.035  0.185  0.6141  0.1715  0.32
Fou 1978   10  0.5620  0.0012  0.166  0.6029  0.279  0.40
Francois 1956   79  0.3474  0.0078  0.0380  0.0385  0.0388  0.03
Friedman 1923   45  0.4844  0.0056  0.0470  0.0454  0.0579  0.04
Friedman 1923b   47  0.4781  0.0057  0.0650  0.0656  0.0653  0.06
Friedman 1930   58  0.4371  0.0074  0.0746  0.0763  0.0552  0.06
Garcia 2007   63  0.4182  0.0071  0.0464  0.0442  0.1944  0.09
Garcia 2007b   68  0.4036  0.0072  0.0552  0.0585  0.0378  0.04
Gierzod 1998   35  0.5048  0.0016  0.0924  0.3252  0.0632  0.14
Gornostaeva 1994   18  0.5334  0.0022  0.1121  0.3628  0.3114  0.33
Groot 1988   16  0.547  0.038  0.1214  0.4913  0.436  0.46
Harasiewicz 1955   4  0.6214  0.017  0.1410  0.5345  0.1120  0.24
Hatto 1993   52  0.4628  0.0043  0.0544  0.1156  0.0551  0.07
Hatto 1997   50  0.4739  0.0053  0.0649  0.0663  0.0458  0.05
Horowitz 1949   36  0.5065  0.0048  0.0472  0.0432  0.3835  0.12
Indjic 1988   48  0.4775  0.0052  0.0476  0.0462  0.0568  0.04
Kapell 1951   25  0.529  0.0314  0.179  0.5429  0.2611  0.37
Kissin 1993   28  0.5137  0.0044  0.0443  0.1170  0.0449  0.07
Kushner 1989   31  0.5054  0.0029  0.0729  0.2454  0.0634  0.12
Luisada 1991   26  0.5245  0.0037  0.0833  0.2157  0.0538  0.10
Lushtak 2004   30  0.5166  0.0042  0.0640  0.1348  0.0741  0.10
Malcuzynski 1961   49  0.4759  0.0046  0.0561  0.0547  0.0656  0.05
Magaloff 1978   65  0.4151  0.0075  0.0648  0.0685  0.0281  0.03
Magin 1975   39  0.4976  0.0032  0.0732  0.2268  0.0443  0.09
Michalowski 1933   83  0.3187  0.0080  0.0384  0.0374  0.0383  0.03
Milkina 1970   13  0.5588  0.0021  0.0922  0.3446  0.0729  0.15
Mohovich 1999   9  0.574  0.084  0.203  0.7210  0.651  0.68
Moravec 1969   76  0.3652  0.0079  0.0381  0.0369  0.0480  0.03
Morozova 2008   42  0.4989  0.0049  0.0553  0.0567  0.0470  0.04
Neighaus 1950   32  0.5012  0.0128  0.0631  0.2238  0.1622  0.19
Niedzielski 1931   60  0.4355  0.0069  0.0469  0.0455  0.0565  0.04
Ohlsson 1999   55  0.4447  0.0031  0.0635  0.1953  0.0539  0.10
Osinska 1989   6  0.5860  0.0013  0.1711  0.5260  0.0623  0.18
Pachmann 1927   73  0.3862  0.0083  0.0386  0.0358  0.0482  0.03
Paderewski 1930   87  0.2290  0.0087  0.0383  0.0388  0.0289  0.02
Perlemuter 1992   62  0.4331  0.0068  0.0554  0.0579  0.0361  0.04
Pierdomenico 2008   82  0.3277  0.0065  0.0466  0.0462  0.0564  0.04
Poblocka 1999   3  0.632  0.132  0.172  0.7323  0.453  0.57
Rabcewiczowa 1932   59  0.4317  0.0155  0.0467  0.0459  0.0466  0.04
Rachmaninoff 1923   37  0.4961  0.0050  0.0555  0.0565  0.0463  0.04
Rangell 2001   54  0.4411  0.0124  0.0726  0.2818  0.4313  0.35
Richter 1976   19  0.5267  0.0045  0.0445  0.0839  0.2531  0.14
Rosen 1989   34  0.5021  0.0018  0.0818  0.4137  0.1916  0.28
Rosenthal 1930   80  0.3378  0.0082  0.0287  0.0282  0.0390  0.02
Rosenthal 1931   81  0.3229  0.0081  0.0477  0.0459  0.0569  0.04
Rosenthal 1931b   85  0.2830  0.0085  0.0288  0.0265  0.0486  0.03
Rosenthal 1931c   86  0.2663  0.0086  0.0385  0.0383  0.0387  0.03
Rosenthal 1931d   84  0.3079  0.0084  0.0382  0.0373  0.0485  0.03
Rossi 2007   72  0.3835  0.0067  0.0463  0.0452  0.0654  0.05
Rubinstein 1939   66  0.4183  0.0060  0.0558  0.0551  0.0555  0.05
Rubinstein 1952   71  0.3822  0.0040  0.0641  0.1345  0.1136  0.12
Rubinstein 1966   51  0.4640  0.0034  0.0627  0.2744  0.1224  0.18
Schilhawsky 1960   57  0.4469  0.0073  0.0747  0.0777  0.0357  0.05
Shebanova 2002   11  0.5616  0.0110  0.138  0.5544  0.1218  0.26
Smith 1975   43  0.4853  0.0038  0.0739  0.1666  0.0445  0.08
Sokolov 2002   74  0.3841  0.0064  0.0556  0.0572  0.0362  0.04
Sztompka 1959   15  0.5456  0.0011  0.1413  0.5044  0.1517  0.27
Tomsic 1995   22  0.5238  0.0027  0.0628  0.2512  0.5512  0.37
Uninsky 1932   38  0.4927  0.0062  0.0560  0.0566  0.0471  0.04
Uninsky 1971   20  0.5218  0.0030  0.0634  0.2045  0.1327  0.16
Wasowski 1980   8  0.5719  0.009  0.1112  0.5127  0.397  0.45
Zak 1937   17  0.5425  0.0023  0.1017  0.4361  0.0528  0.15
Zak 1951   23  0.5284  0.0026  0.0719  0.3964  0.0530  0.14
Average   1  0.641  0.371  0.371  0.7956  0.0621  0.22
Random 1   89  -0.0257  0.0089  0.0289  0.025  0.5042  0.10
Random 2   91  -0.1064  0.0091  0.0191  0.0182  0.0291  0.01
Random 3   90  -0.0691  0.0090  0.0190  0.0136  0.1875  0.04

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).