Pierdomenico 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   22  0.4829  0.0015  0.0723  0.4073  0.0426  0.13
Anderszewski 2003   56  0.3784  0.0049  0.0562  0.0577  0.0365  0.04
Ashkenazy 1981   32  0.4526  0.0140  0.0641  0.2070  0.0342  0.08
Bacha 2000   48  0.4062  0.0059  0.0648  0.0675  0.0357  0.04
Badura 1965   80  0.2887  0.0078  0.0559  0.0584  0.0367  0.04
Barbosa 1983   86  0.2447  0.0069  0.0379  0.0375  0.0477  0.03
Biret 1990   27  0.4582  0.0017  0.078  0.5154  0.0519  0.16
Blet 2003   64  0.3549  0.0071  0.0563  0.0575  0.0366  0.04
Block 1995   69  0.3283  0.0054  0.0561  0.0565  0.0468  0.04
Blumental 1952   65  0.3437  0.0048  0.0564  0.0584  0.0369  0.04
Boshniakovich 1969   9  0.5113  0.0214  0.0728  0.3453  0.0527  0.13
Brailowsky 1960   87  0.2388  0.0084  0.0384  0.0383  0.0373  0.03
Bunin 1987   81  0.2785  0.0082  0.0477  0.0485  0.0383  0.03
Bunin 1987b   83  0.2789  0.0081  0.0385  0.0384  0.0374  0.03
Chiu 1999   60  0.3678  0.0055  0.0651  0.0654  0.0550  0.05
Cohen 1997   75  0.3043  0.0068  0.0471  0.0478  0.0382  0.03
Cortot 1951   76  0.2939  0.0070  0.0568  0.0579  0.0371  0.04
Csalog 1996   46  0.4016  0.0138  0.0645  0.1056  0.0546  0.07
Czerny 1949   47  0.4074  0.0043  0.0738  0.2358  0.0537  0.11
Czerny 1990   28  0.4579  0.0033  0.0734  0.2883  0.0340  0.09
Duchoud 2007   40  0.4318  0.0112  0.0732  0.2934  0.1915  0.23
Ezaki 2006   45  0.4267  0.0051  0.0567  0.0584  0.0356  0.04
Falvay 1989   6  0.5145  0.0019  0.0716  0.4431  0.316  0.37
Farrell 1958   23  0.481  0.161  0.151  0.6821  0.442  0.55
Ferenczy 1958   71  0.3146  0.0072  0.0475  0.0487  0.0280  0.03
Fliere 1977   34  0.4475  0.0042  0.0739  0.2387  0.0243  0.07
Fou 1978   21  0.4850  0.0030  0.0826  0.3781  0.0429  0.12
Francois 1956   7  0.514  0.094  0.165  0.5810  0.581  0.58
Friedman 1923   78  0.2848  0.0076  0.0380  0.0386  0.0289  0.02
Friedman 1923b   77  0.2886  0.0075  0.0382  0.0382  0.0384  0.03
Friedman 1930   73  0.3051  0.0074  0.0473  0.0483  0.0379  0.03
Garcia 2007   8  0.513  0.135  0.214  0.5914  0.504  0.54
Garcia 2007b   5  0.525  0.066  0.236  0.5536  0.238  0.36
Gierzod 1998   1  0.5615  0.0110  0.107  0.5258  0.0518  0.16
Gornostaeva 1994   49  0.3971  0.0062  0.0560  0.0552  0.0470  0.04
Groot 1988   30  0.4569  0.009  0.1010  0.4928  0.259  0.35
Harasiewicz 1955   26  0.4634  0.0024  0.0725  0.3875  0.0432  0.12
Hatto 1993   58  0.3738  0.0058  0.1046  0.1062  0.0449  0.06
Hatto 1997   55  0.3757  0.0056  0.0655  0.0657  0.0554  0.05
Horowitz 1949   66  0.3453  0.0073  0.0381  0.0370  0.0476  0.03
Indjic 1988   53  0.3854  0.0057  0.1044  0.1060  0.0545  0.07
Kapell 1951   35  0.4419  0.0127  0.0837  0.2558  0.0535  0.11
Kissin 1993   11  0.5012  0.0222  0.0627  0.3462  0.0430  0.12
Kushner 1989   3  0.548  0.043  0.162  0.6248  0.0717  0.21
Luisada 1991   57  0.3752  0.0064  0.0566  0.0579  0.0358  0.04
Lushtak 2004   38  0.4336  0.0018  0.0915  0.4543  0.1216  0.23
Malcuzynski 1961   43  0.4232  0.0053  0.0652  0.0686  0.0275  0.03
Magaloff 1978   51  0.3827  0.0047  0.0650  0.0644  0.0944  0.07
Magin 1975   15  0.4921  0.0129  0.0820  0.4076  0.0334  0.11
Michalowski 1933   63  0.3560  0.0066  0.0654  0.0669  0.0452  0.05
Milkina 1970   18  0.4976  0.0025  0.0819  0.4279  0.0425  0.13
Mohovich 1999   39  0.4359  0.0034  0.0831  0.2962  0.0531  0.12
Moravec 1969   68  0.3263  0.0077  0.0472  0.0485  0.0272  0.03
Morozova 2008   37  0.4320  0.0136  0.0835  0.2868  0.0436  0.11
Neighaus 1950   33  0.4522  0.0131  0.0836  0.2578  0.0438  0.10
Niedzielski 1931   72  0.3135  0.0061  0.0565  0.0566  0.0463  0.04
Ohlsson 1999   16  0.497  0.057  0.199  0.5040  0.1313  0.25
Osinska 1989   2  0.552  0.142  0.183  0.6044  0.1311  0.28
Pachmann 1927   31  0.4517  0.0139  0.0543  0.1714  0.4612  0.28
Paderewski 1930   19  0.499  0.0311  0.1011  0.485  0.603  0.54
Perlemuter 1992   29  0.4564  0.0035  0.0833  0.2866  0.0433  0.11
Pierdomenico 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Poblocka 1999   59  0.3772  0.0060  0.0558  0.0582  0.0360  0.04
Rabcewiczowa 1932   54  0.3880  0.0044  0.0942  0.1857  0.0539  0.09
Rachmaninoff 1923   62  0.3511  0.0237  0.0830  0.3059  0.0528  0.12
Rangell 2001   17  0.4965  0.0026  0.0921  0.4030  0.337  0.36
Richter 1976   67  0.3355  0.0079  0.0653  0.0668  0.0451  0.05
Rosen 1989   4  0.5424  0.0128  0.0822  0.4065  0.0523  0.14
Rosenthal 1930   84  0.2690  0.0086  0.0287  0.0265  0.0388  0.02
Rosenthal 1931   82  0.2777  0.0085  0.0386  0.0365  0.0478  0.03
Rosenthal 1931b   74  0.3073  0.0080  0.0476  0.0485  0.0286  0.03
Rosenthal 1931c   85  0.2661  0.0087  0.0478  0.0469  0.0387  0.03
Rosenthal 1931d   79  0.2840  0.0083  0.0383  0.0377  0.0385  0.03
Rossi 2007   24  0.4710  0.0213  0.0714  0.4517  0.405  0.42
Rubinstein 1939   50  0.3868  0.0063  0.0470  0.0462  0.0462  0.04
Rubinstein 1952   41  0.4258  0.0046  0.0649  0.0663  0.0455  0.05
Rubinstein 1966   25  0.4614  0.0121  0.0624  0.3941  0.1514  0.24
Schilhawsky 1960   52  0.3825  0.0145  0.0747  0.0785  0.0353  0.05
Shebanova 2002   10  0.5023  0.018  0.1013  0.4767  0.0520  0.15
Smith 1975   36  0.4330  0.0050  0.0556  0.0581  0.0361  0.04
Sokolov 2002   44  0.4233  0.0041  0.0740  0.2183  0.0341  0.08
Sztompka 1959   13  0.4944  0.0016  0.0718  0.4262  0.0522  0.14
Tomsic 1995   20  0.4828  0.0032  0.0829  0.3229  0.3610  0.34
Uninsky 1932   70  0.3170  0.0067  0.0474  0.0485  0.0381  0.03
Uninsky 1971   61  0.3631  0.0065  0.0469  0.0480  0.0464  0.04
Wasowski 1980   42  0.4242  0.0052  0.0557  0.0587  0.0359  0.04
Zak 1937   14  0.4941  0.0023  0.0717  0.4375  0.0424  0.13
Zak 1951   12  0.506  0.0520  0.0712  0.4872  0.0421  0.14
Random 1   90  -0.1656  0.0090  0.0190  0.0188  0.0190  0.01
Random 2   89  -0.0681  0.0089  0.0289  0.0228  0.2347  0.07
Random 3   88  -0.0666  0.0088  0.0288  0.0222  0.2548  0.07

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).