Rossi 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   35  0.5435  0.0060  0.0747  0.0784  0.0261  0.04
Anderszewski 2003   9  0.6762  0.0026  0.0626  0.2866  0.0429  0.11
Ashkenazy 1981   51  0.4959  0.0064  0.0476  0.0482  0.0381  0.03
Bacha 2000   1  0.7210  0.0210  0.1010  0.5022  0.239  0.34
Badura 1965   62  0.4475  0.0081  0.0377  0.0386  0.0286  0.02
Barbosa 1983   47  0.5066  0.0025  0.0732  0.1969  0.0435  0.09
Biret 1990   7  0.7027  0.017  0.118  0.5255  0.0521  0.16
Blet 2003   50  0.4940  0.0046  0.0564  0.0573  0.0358  0.04
Block 1995   54  0.4739  0.0036  0.0536  0.1576  0.0344  0.07
Blumental 1952   6  0.712  0.142  0.151  0.6115  0.246  0.38
Boshniakovich 1969   67  0.4143  0.0074  0.0559  0.0582  0.0364  0.04
Brailowsky 1960   10  0.6673  0.0028  0.0619  0.3553  0.0426  0.12
Bunin 1987   86  0.0570  0.0087  0.0286  0.0290  0.0190  0.01
Bunin 1987b   87  0.0371  0.0086  0.0287  0.0290  0.0187  0.01
Chiu 1999   12  0.6552  0.0040  0.0533  0.1771  0.0340  0.07
Cohen 1997   29  0.5736  0.0044  0.0544  0.1024  0.2919  0.17
Cortot 1951   46  0.5155  0.0032  0.0543  0.1140  0.1131  0.11
Csalog 1996   73  0.3824  0.0124  0.0727  0.2536  0.1615  0.20
Czerny 1949   58  0.4421  0.0172  0.0473  0.0485  0.0278  0.03
Czerny 1990   8  0.6931  0.0011  0.107  0.5381  0.0324  0.13
Duchoud 2007   82  0.2948  0.0082  0.0380  0.0385  0.0285  0.02
Ezaki 2006   3  0.7218  0.0112  0.146  0.5551  0.0422  0.15
Falvay 1989   11  0.6611  0.029  0.1411  0.469  0.533  0.49
Farrell 1958   5  0.716  0.053  0.144  0.5616  0.442  0.50
Ferenczy 1958   37  0.5456  0.0050  0.0748  0.0768  0.0449  0.05
Fliere 1977   53  0.4844  0.0068  0.0469  0.0483  0.0366  0.03
Fou 1978   14  0.6334  0.0031  0.0625  0.2984  0.0334  0.09
Francois 1956   26  0.5837  0.0023  0.1020  0.3450  0.0525  0.13
Friedman 1923   30  0.5657  0.0059  0.0656  0.0658  0.0551  0.05
Friedman 1923b   32  0.5663  0.0058  0.0557  0.0557  0.0550  0.05
Friedman 1930   31  0.5633  0.0057  0.0562  0.0566  0.0459  0.04
Garcia 2007   28  0.5719  0.0142  0.0539  0.1476  0.0347  0.06
Garcia 2007b   43  0.5129  0.0143  0.0740  0.1472  0.0446  0.07
Gierzod 1998   52  0.4841  0.0054  0.0655  0.0677  0.0362  0.04
Gornostaeva 1994   33  0.5420  0.0120  0.0728  0.2453  0.0530  0.11
Groot 1988   41  0.5287  0.0033  0.0541  0.1464  0.0537  0.08
Harasiewicz 1955   20  0.627  0.0341  0.0535  0.1575  0.0438  0.08
Hatto 1993   45  0.5188  0.0065  0.0474  0.0470  0.0465  0.04
Hatto 1997   40  0.5232  0.0066  0.0382  0.0374  0.0476  0.03
Horowitz 1949   75  0.3858  0.0076  0.0383  0.0377  0.0469  0.03
Indjic 1988   39  0.5260  0.0067  0.0472  0.0475  0.0457  0.04
Kapell 1951   70  0.4042  0.0035  0.0537  0.1584  0.0343  0.07
Kissin 1993   49  0.4951  0.0052  0.0649  0.0669  0.0356  0.04
Kushner 1989   48  0.5083  0.0055  0.0558  0.0574  0.0453  0.04
Luisada 1991   21  0.6189  0.0027  0.0624  0.3071  0.0428  0.11
Lushtak 2004   34  0.5478  0.0051  0.0653  0.0682  0.0363  0.04
Malcuzynski 1961   44  0.513  0.0819  0.1115  0.4031  0.2010  0.28
Magaloff 1978   19  0.6230  0.0013  0.1012  0.4420  0.335  0.38
Magin 1975   74  0.3823  0.0156  0.0471  0.0485  0.0368  0.03
Michalowski 1933   80  0.3267  0.0083  0.0385  0.0388  0.0284  0.02
Milkina 1970   4  0.719  0.035  0.163  0.6029  0.264  0.39
Mohovich 1999   16  0.6249  0.0014  0.109  0.5159  0.0520  0.16
Moravec 1969   13  0.644  0.074  0.155  0.556  0.561  0.55
Morozova 2008   59  0.4485  0.0070  0.0565  0.0586  0.0275  0.03
Neighaus 1950   57  0.4574  0.0073  0.0468  0.0485  0.0282  0.03
Niedzielski 1931   38  0.5325  0.0129  0.0723  0.3177  0.0333  0.10
Ohlsson 1999   72  0.4028  0.0178  0.0379  0.0378  0.0372  0.03
Osinska 1989   2  0.721  0.201  0.202  0.6133  0.227  0.37
Pachmann 1927   69  0.4164  0.0084  0.0467  0.0484  0.0270  0.03
Paderewski 1930   24  0.5976  0.0038  0.0730  0.2184  0.0336  0.08
Perlemuter 1992   25  0.5850  0.0045  0.0654  0.0667  0.0448  0.05
Pierdomenico 2008   64  0.4216  0.0122  0.0829  0.2444  0.1218  0.17
Poblocka 1999   83  0.2745  0.0079  0.0378  0.0373  0.0467  0.03
Rabcewiczowa 1932   36  0.5480  0.0034  0.0638  0.1578  0.0342  0.07
Rachmaninoff 1923   18  0.6217  0.0139  0.0534  0.1573  0.0341  0.07
Rangell 2001   79  0.3326  0.0137  0.0642  0.1251  0.0445  0.07
Richter 1976   85  0.1338  0.0085  0.0381  0.0388  0.0183  0.02
Rosen 1989   17  0.6222  0.018  0.1413  0.4472  0.0423  0.13
Rosenthal 1930   77  0.3547  0.0063  0.0560  0.0585  0.0279  0.03
Rosenthal 1931   71  0.4090  0.0048  0.0946  0.0941  0.1527  0.12
Rosenthal 1931b   68  0.4168  0.0049  0.1045  0.1039  0.1332  0.11
Rosenthal 1931c   76  0.3761  0.0047  0.0652  0.0643  0.1139  0.08
Rosenthal 1931d   60  0.4486  0.0030  0.0631  0.1930  0.2016  0.19
Rossi 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1939   27  0.5813  0.0117  0.0916  0.3940  0.1214  0.22
Rubinstein 1952   66  0.418  0.0316  0.1222  0.3241  0.1913  0.25
Rubinstein 1966   15  0.6212  0.0215  0.1018  0.3541  0.1812  0.25
Schilhawsky 1960   81  0.3065  0.0077  0.0384  0.0382  0.0374  0.03
Shebanova 2002   63  0.4281  0.0069  0.0563  0.0583  0.0360  0.04
Smith 1975   23  0.5915  0.016  0.1214  0.4236  0.1511  0.25
Sokolov 2002   78  0.3469  0.0075  0.0561  0.0577  0.0352  0.04
Sztompka 1959   42  0.5253  0.0053  0.0650  0.0686  0.0271  0.03
Tomsic 1995   55  0.4714  0.0121  0.0821  0.3426  0.408  0.37
Uninsky 1932   65  0.4272  0.0071  0.0470  0.0483  0.0377  0.03
Uninsky 1971   84  0.2346  0.0080  0.0475  0.0483  0.0373  0.03
Wasowski 1980   22  0.595  0.0618  0.0917  0.3644  0.0917  0.18
Zak 1937   56  0.4684  0.0061  0.0566  0.0576  0.0354  0.04
Zak 1951   61  0.4482  0.0062  0.0651  0.0673  0.0355  0.04
Random 1   90  -0.3154  0.0089  0.0189  0.0178  0.0289  0.01
Random 2   89  -0.2577  0.0090  0.0190  0.0190  0.0188  0.01
Random 3   88  -0.1479  0.0088  0.0288  0.0259  0.0480  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).